EXPLORING THE DYNAMICS OF OBESITY IN RURAL ADULT POPULATION IN UTURU, ISIUKWUATO LGA, ABIA STATE

EXPLORING THE DYNAMICS OF OBESITY IN RURAL ADULT POPULATION IN UTURU, ISIUKWUATO LGA, ABIA STATE BY EZEBUIRO PRECIOUS ONYINYECHI Matric Number: 2017/113302/REGULAR DEPARTMENT OF NURSING SCIENCES, FACULTY OF BASIC HEALTH SCIENCES, ABIA STATE UNIVERSITY, UTURU. SEPTEMBER, 2023. 53 EXPLORING THE DYNAMICS OF OBESITY IN RURAL ADULT POPULATION OF UTURU, ISIUKWUATO LGA, ABIA STATE BY EZEBUIRO PRECIOUS ONYINYECHI MATRIC NUMBER: 2017/113302/REGULAR DEPARTMENT OF NURSING SCIENCES, FACULTY OF HEALTH SCIENCES. ABIA STATE UNIVERSITY, UTURU. IN PARTIAL FULFILMENT OF THE REQUIREMENTS OF NURSING AND MIDWIFERY COUNCIL OF NIGERIA FOR THE AWARD OF “REGISTERED NURSE” (RN) CERTIFICATE. SEPTEMBER, 2023. i DECLARATION This is to declare that this research project titled Exploring The Dynamics Of Obesity In Rural Adult Population Of Uturu, Isiukwuato LGA, Abia State was carried out by Ezebuiro Precious Onyinyechi is solely the result of my work except where acknowledged as being derived from other person(s) or resources. SIGNATURE________________ DATE______________________ ABSTRACT Exploring the dynamics of obesity in rural adult population of uturu, lsuikwuato LGA, Abia State.A descriptive survey design was adopted for the study. The objectives of the study were to assess the prevalence of obesity among the rural adult population of Uturu, Isuikwuato LGA, to determine obesity rates based on gender among the rural adult population of Uturu, to investigate the socio-economic factors that may contribute to the occurrence of obesity in Uturu, to explore cultural and lifestyle factors that may contribute to dietary habits, physical activity patterns, and overall health in the rural context.The target population for this study comprises of 240 adults aged 18 years and above residing in Uturu,Isuikwuato LGA, Abia State. Cross-sectional study was conducted, involving 150 adults residing in rural areas of Uturu village. Data were collected through structured questionnaire and anthropometric measurements, covering aspects such as socio-demographic information, lifestyle factors, dietary habits, physical activity levels, and obesity-related health outcomes were assessed. The study revealed diverse socio-demographic characteristics among the respondents, with the majority falling within the 18-60 years age bracket and an equal representation of males and females.Prevalence of obesity was noted, with a significant portion of 36% respondents reporting diagnosis and associated health problems. Physical activity levels varied, and 27% showed that sedentary behavior was common. Dietary habits ranged from 32.7%,-15.3% of healthy to unhealthy respondent respectively, with variations in fruit and vegetable consumption. The findings underscore the complex interplay of socio- demographic, lifestyle, and lifestyle modifications, promoting healthy dietary habits, and increasing physical activity. It is recommended that tailored strategies that consider the unique socio-cultural context of rural communities are essential for effective obesity prevention and management. Key words: Dietary , Health, physical , population, Study. DEDICATION This research is dedicated to the rural communities of Uturu, Isiukwuato LGA, Abia State, whose cooperation and participation made this study possible. Your willingness to share your experiences and insights has contributed immensely to our understanding of obesity dynamics in rural settings. This work is dedicated to you, as a testament to our commitment to improving health outcomes and addressing the challenges faced by rural populations. Your resilience and cooperation inspire us to continue our efforts in promoting health and well-being in your community and beyond. ACKNOWLEDGEMENT I wish to express my gratitude to God Almighty for Grace, Wisdom and Strength to carry out this case study. I am also very grateful to my wonderful supervisor Mrs. Onyekachi-Chigbu Agnes for her support and guidance throughout this research work. I will also like to extend my gratitude to my Head of Department; Doc MRS. Okoroafor O.P, and all my lecturers in the Department of Nursing Science for providing me with the knowledge that was required. Special thanks to my awesome family; especially Mr. & Mrs. Chido Nwakanma for their excess love, support and prayers. Finally, to my beloved friend, thanks for the support and love. May you all continue to meet the favour of God in all your undertakings? Amen. TABLE OF CONTENT Title Page i Declaration ii Certification Page iii Abstract iv Dedication Page v Acknowledgment vi Table of Contents vii List of Tables x List of Figures xi CHAPTER 1 – INTRODUCTION Background to the study 1 Statement of the problem 3 Objectives of study 4 Research Questions 4 Significance of study 4 Scope of the study 6 Operational Definition of Terms 6 CHAPTER 2 – LITERATURE REVIEW Conceptual review 7 Theoretical review 16 Empirical review 17 CHAPTER 3 – METHODOLOGY Research Design 20 Setting 20 Target population 20 Sampling (Size and Formula) 20 Sampling Technique 22 Instruments for Data Collection 22 Validity of Instruments 22 Reliability of Instruments 22 Method of Data Collection 22 Method of Data Analysis 23 Ethical Clearance 23 CHAPTER 4 – PRESENTATION OF RESULTS Results 24 CHAPTER 5 – DISCUSSION OF FINDINGS Discussion of findings 41 Implication of findings to nursing 42 Limitation of study 43 Summary of the study 43 Conclusion 43 Recommendations 44 Suggestions to further study 44 REFERENCES ` 45 APPENDIX LIST OF TABLES Table 1: Respondents Socio-demographic characteristics. Table 2: Prevalence of Obesity among Adults in Uturu Isuikwuato LGA Table 3: Prevalence Vary Across Different Demographic Groups, Such As Gender and Age Table 4 Differences in results between males and females Table 5: Socio-Economic Factors Contribution to the Occurrence of Obesity in the Rural Population LIST OF FIGURES Figure 1 Description of typical Daily Meals Figure 2 Typical Daily Physical Activity Level 53 CHAPTER ONE INTRODUCTION Background to the study Obesity, characterized by excessive accumulation of body fat, is a complex and multifaceted health issue that poses significant challenges to individuals, communities, and healthcare systems worldwide. In rural areas like Uturu, Isiukwuato LGA, Abia State, obesity manifests within a unique context shaped by a combination of environmental, cultural, socioeconomic, and lifestyle factors. The prevalence of obesity in rural populations is often influenced by limited access to healthcare services, reliance on traditional diets high in carbohydrates and fats, and socioeconomic disparities that restrict access to nutritious foods and opportunities for physical activity (Doogan, 2017). These factors contribute to a higher risk of obesity-related health conditions, such as type 2 diabetes, hypertension, and cardiovascular disease, which can further strain already limited healthcare resources and exacerbate health disparities within rural communities. Addressing obesity in rural areas requires comprehensive, community-centered approaches that acknowledge the interconnectedness of individual behaviors and broader social, economic, and environmental determinants of health. Interventions aimed at preventing and managing obesity must take into account the unique needs and challenges of rural populations, promoting access to affordable, nutritious foods, opportunities for physical activity, and culturally appropriate health education and resources (Yadav, 2021). Additionally, efforts to address obesity should be integrated into broader initiatives aimed at improving overall health and well-being, fostering collaboration between healthcare providers, community organizations, policymakers, and other stakeholders to create sustainable solutions that promote health equity and empower individuals to lead healthier lives. We choose to study obesity in the rural adult population because the repercussions of this trend are most pronounced in this area. The rural sector is still dependent on the urban sector for healthcare facilities. Due to a lack of good quality healthcare facilities and health awareness, chronic diseases are a significant burden for rural people (Brakefield, 2022). In such an area, obesity is strictly negative in terms of health since it is a causal factor for many chronic diseases like hypertension and diabetes. Finally, there is a dearth of literature on obesity in rural areas, yet findings can provide information to aid in the prevention of the obesity epidemic in this population, which has an essence of avoiding mistakes made by urban people. This represents a "real-life" opportunity to prevent the onset of obesity, a luxury that developed countries no longer have (Yadav, 2021). We have an understanding that obesity is a rapidly increasing public health issue, affecting both developing and developed countries. It is related to a range of chronic diseases and represents a significant cost for the healthcare system (Doogan, 2017). Various studies have highlighted the growing trend of obesity in developing countries with special reference to urban to rural migration. Obesity has emerged as a major health issue on a global scale, impacting people from diverse backgrounds and spanning all age groups (Butler, 2020). Though urban centers have been the prime focus of obesity studies, there is a growing awareness of its rising prevalence in rural areas. The complexities of obesity in rural communities bring about unique challenges and require directed attention for a thorough understanding. Over the last few decades, there has been a significant global increase in obesity rates. Interestingly, this surge has not only affected urban areas, but there has also been a notable shift towards rural areas. This goes against the conventional belief that obesity is mainly linked to city living. As Nigeria continues to rapidly urbanize while also maintaining a predominantly rural landscape, it is imperative to gain a deeper understanding of obesity in rural communities in order to effectively address the widespread health consequences (Yadav, 2021). Obesity is far more than just a superficial issue. It comes with a multitude of health problems, such as a higher likelihood of developing chronic diseases like diabetes, heart disease, and certain types of cancer. In many rural regions, including Uturu, Isiukwuato LGA, limited access to healthcare, lower levels of education, and reliance on traditional diets and lifestyles contribute to the complexity of the issue. Uturu, located in Isiukwuato Local Government Area (LGA) of Abia State, Nigeria, represents a typical rural setting where cultural, economic, and environmental factors intersect with health outcomes. In rural areas like Uturu, access to healthcare services is often limited, with fewer healthcare facilities and trained medical professionals compared to urban areas. This lack of access can hinder early detection, diagnosis, and management of obesity and related health conditions, perpetuating the cycle of poor health outcomes. Additionally, cultural norms and traditional beliefs about body image and health may influence attitudes towards diet, exercise, and seeking medical care, further complicating efforts to address obesity. Furthermore, the socioeconomic landscape of Uturu and similar rural areas can impact the prevalence of obesity. Economic factors such as poverty and limited employment opportunities may restrict access to nutritious foods, leading to reliance on cheaper, high-calorie, low-nutrient options (Butler, 2020). Agricultural practices prevalent in rural communities may also contribute to dietary patterns, with diets high in carbohydrates and fats but low in fruits, vegetables, and lean proteins. Understanding these socioeconomic dynamics is crucial for designing effective interventions tailored to the needs of the local population. Moreover, the interplay between urbanization and traditional rural lifestyles in places like Uturu adds another layer of complexity to the obesity epidemic. As rural areas undergo development and modernization, changes in diet, physical activity levels, and social norms may occur, influencing health outcomes (Brakefield, 2022). This transition presents both challenges and opportunities for addressing obesity in rural populations. By examining the dynamics of these changes and their impact on obesity prevalence and related health outcomes, researchers can develop targeted interventions that promote healthy behaviors while respecting the cultural context and socioeconomic realities of rural life in Uturu and similar communities. Statement of the problem There is an increasing prevalence of obesity in rural communities, including Uturu Village in Isuikwuato LGA, Abia State. However, little is known about the specific factor scontributing to this trend in these areas, where lifestyles and socio-economic conditions differ significantly from urban settings.Rural populations often have limited access to healthcare services and nutritional education, which exacerbates the problem of obesity. The lack of resources and awareness in these communities may lead to poor dietary habits and insufficient physical activity, further contributing to the rising obesity rates.Most studies on obesity have focused on urban populations, leaving a gap in understanding the dynamics of obesity in rural areas. Obesity has significant economic and social consequences, including increased healthcare costs, reduced productivity, and a higher burden of chronic diseases. .There is an urgent need to identify the specific determinants of obesity in rural communities like Uturu. Understanding these factors is crucial for developing effective, culturally appropriate interventions that can help reduce obesity rates and improve overall health outcomes in these populations. Objectives of the study The research objectives are as follows: 1. To assess the prevalence of obesity among the rural adult population of Uturu Isuikwuato LGA. 2. To determine obesity rates based on gender among the rural adult population of Uturu Isuikwuato LGA. 3. To investigate the socio-economic factors that may contribute to the occurrence of obesity in Uturu Isuikwuato LGA. 4. To explore cultural and lifestyle factors that may contribute to dietary habits, physical activity patterns, and overall health in the rural context. Research Questions The study addresses the following research questions: 1. What is the current prevalence of obesity among adults in Uturu Isuikwuato LGA? 2. What are the perceptions and attitudes towards obesity, body image, and weight management in this community? 3. How do socio-economic factors, including income levels, education, and employment status, contribute to the occurrence of obesity in the rural population? 4. What cultural and lifestyle factors influence dietary habits and physical activity patterns among the rural adult population? 5 .How does obesity prevalence vary across different demographic groups, such as gender and age? Significance of the study There are a few key reasons why this study is so important. For one, it adds to the ever-growing pool of information on obesity trends in rural regions, bridging a critical research void. Additionally, the insights uncovered through this study have the potential to shape targeted interventions and policies that cater to the distinct needs of Uturu Isuikwuato LGA. The exploration of the dynamics of obesity in the rural adult population of Uturu Isuikwuato Local Government Area (LGA) in Abia State holds significant implications for public health, policy development, and the overall well-being of the community. The study's significance is multifaceted, encompassing both local and broader implications. Community Health Improvement: Understanding the dynamics of obesity in Uturu Isuikwuato LGA is crucial for developing targeted health interventions that address the specific needs of the local community. By identifying prevalent factors contributing to obesity, the study can inform community-based programs focused on lifestyle modifications and preventive healthcare. The findings of the study may contribute to the prevention of obesity-related health conditions within the rural adult population. This has direct implications for reducing the burden of chronic diseases such as diabetes and cardiovascular diseases, thereby enhancing the overall health and longevity of community members. The study can guide local health authorities in optimizing healthcare resource allocation. By identifying prevalent health conditions associated with obesity, policymakers can allocate resources strategically to address the most pressing health needs within the community. The exploration of cultural and lifestyle factors contributing to obesity promotes cultural sensitivity in healthcare interventions. Tailoring health promotion initiatives to align with local cultural practices and perceptions ensures greater community engagement and effectiveness. Contributions to Academic Knowledge: The study contributes to the existing body of knowledge on obesity dynamics, particularly in rural African settings. Academic institutions, researchers, and health professionals can utilize the findings to enhance their understanding of the complex interplay of factors influencing obesity in diverse cultural and geographical contexts. Policymakers at both regional and national levels can use the study's insights to inform the development of policies addressing obesity within rural areas. This may include the formulation of public health strategies, nutritional guidelines, and initiatives aimed at promoting physical activity in rural communities. The study provides a basis for public health advocacy, raising awareness about the prevalence of obesity in rural areas and advocating for targeted interventions. Public health campaigns informed by the study's findings can empower individuals to make healthier lifestyle choices. As obesity is a global health concern, the study's findings have implications beyond the local context. Insights gained from Uturu Isuikwuato LGA may contribute to the global understanding of obesity dynamics in rural populations, fostering international collaboration in addressing this public health issue. The study aims to make meaningful contributions to the improvement of community health and the advancement of knowledge in the field of obesity research. Scope of the Study The exploration of the dynamics of obesity in the rural adult population of Uturu Isuikwuato Local Government Area (LGA), Abia State, aims to provide a comprehensive understanding of the factors contributing to obesity within this specific rural context. However, it is essential to define the scope of the study to ensure a focused and achievable research endeavor. The study will focus specifically on the rural areas within Uturu Isuikwuato LGA, Abia State. The geographic boundaries will be confined to the rural communities to capture the distinct socio-economic, cultural, and environmental factors that characterize these areas. The study will consider demographic variables such as age, gender, and other relevant factors to analyze obesity prevalence and dynamics within specific population groups. Operational Definition of Terms Adult The term "adult” refers to individuals aged 18 years and older who has reached the stage of physical and mental maturity, Dynamics of Obesity: In this research context, "dynamics of obesity" encompasses the multifaceted factors influencing the prevalence, trends, determinants, and consequences of obesity within the rural adult population of U Obesity: For the purpose of this research, obesity refers to a medical condition characterized by excessive accumulation of body fat, typically defined by body mass index (BMI) measurements. Population:The whole number of people or inhabitants occupying an area or making up a whole the rural community of Uturu, Isiukwuato LGA, Abia State. Rural: In the context of this research, "rural" refers to areas outside of urban centers characterized by lower population density, agricultural activities, and limited access to urban amenities and infrastructure. CHAPTER TWO LITERATURE REVIEW In this chapter, literature related to this study was reviewed under the following sub-headings: Conceptual review Theoretical framework Empirical Studies Conceptual review Obesity has emerged as a global health challenge, with significant implications for individuals, communities, and healthcare systems. While much attention has been focused on urban areas, rural communities face unique challenges that contribute to the obesity epidemic. Understanding the dynamics of obesity within rural populations, such as Uturu in Isiukwuato LGA, Abia State, Nigeria, requires a comprehensive examination of the interplay between cultural, socioeconomic, environmental, and lifestyle factors. This conceptual review aims to explore existing literature on obesity in rural settings, identify key determinants of obesity prevalence and trends, and propose strategies for intervention tailored to the specific context of Uturu. Cultural norms and traditions significantly influence dietary patterns, physical activity behaviors, and perceptions of body weight within rural communities. Studies have shown that traditional diets rich in carbohydrates and fats, combined with cultural attitudes towards body image, contribute to the high prevalence of obesity in rural areas (Monteiro, Moura, & Conde, 2017). Additionally, cultural practices such as communal eating and social gatherings may promote overconsumption of calorie-dense foods and sedentary behavior, further exacerbating the risk of obesity (Popkin, Adair, & Ng, 2018). Socioeconomic factors play a critical role in shaping obesity prevalence within rural populations. Poverty, limited access to healthcare, and food insecurity are common challenges faced by rural communities like Uturu, which contribute to disparities in obesity rates (Drewnowski & Specter, 2019). Lower levels of education and employment opportunities may also limit access to nutritious foods and opportunities for physical activity, perpetuating the cycle of obesity and poverty (Olshansky et al., 2021). Environmental factors, including access to food and built environment characteristics, impact obesity prevalence in rural areas. Food deserts, defined as areas with limited access to affordable, nutritious foods, are prevalent in many rural communities and contribute to unhealthy dietary patterns and obesity (Walker et al., 2016). Additionally, inadequate infrastructure for physical activity, such as sidewalks, parks, and recreational facilities, may discourage active living and promote sedentary behaviors (Sallis et al., 2016). Addressing the dynamics of obesity in rural populations requires multifaceted interventions that address the complex interplay of cultural, socioeconomic, and environmental factors. Community-based initiatives, such as nutrition education programs, community gardens, and active transportation projects, can promote healthier lifestyles and reduce obesity risk (Kegler et al., 2023 ). Furthermore, policies aimed at improving access to healthcare services, nutritious foods, and recreational opportunities are essential for creating environments supportive of healthy behaviors within rural communities. In conclusion, understanding the dynamics of obesity within rural populations like Uturu, Isiukwuato LGA, Abia State, is essential for developing effective strategies to address this public health challenge. By examining the cultural, socioeconomic, and environmental influences on obesity prevalence and trends, policymakers, healthcare providers, and community stakeholders can implement targeted interventions that promote health equity and improve overall well-being within the population. Socioeconomic Influence on Obesity Sociocultural influences play a significant role in shaping dietary habits, physical activity levels, and perceptions of body image, all of which contribute to the prevalence of obesity within communities like Uturu, Isiukwuato LGA, Abia State. In this rural setting, cultural norms, traditions, and social customs often dictate food choices, meal preparation methods, and eating behaviors. Traditional diets rich in carbohydrates, fats, and starches may reflect cultural preferences and historical food practices but can also contribute to an increased risk of obesity when coupled with sedentary lifestyles and limited access to nutritional education. Moreover, societal perceptions of body weight and shape within the community influence individuals' attitudes towards obesity. In some cultures, a larger body size may be associated with wealth, prosperity, and fertility, leading to a higher tolerance for overweight and obesity. Conversely, in societies where thinness is idealized and equated with beauty or success, individuals may face stigma or discrimination based on their weight, which can negatively impact self-esteem and mental health. These sociocultural attitudes towards body image may influence health behaviors, such as dieting practices, exercise habits, and healthcare-seeking behaviors among individuals living with obesity. Family and community dynamics also play a crucial role in shaping obesity risk factors. Family meals and communal eating practices are integral aspects of many cultures, providing opportunities for social bonding and cultural expression. However, these gatherings may also encourage overeating or unhealthy food choices, especially if traditional dishes are high in calories, sugars, and fats. Furthermore, social support networks within the community can either facilitate or hinder efforts to adopt healthier lifestyles. Peer pressure, social norms, and cultural values regarding food, exercise, and body weight may influence individuals' adherence to dietary recommendations, engagement in physical activity, and willingness to seek medical help for obesity-related issues.(Amoah et al,2023) Addressing sociocultural influences on obesity requires a multifaceted approach that acknowledges the complexity of cultural beliefs, social norms, and community dynamics within rural settings like Uturu. Culturally sensitive health interventions that respect local traditions, values, and customs are essential for promoting behavior change and improving health outcomes. Engaging community leaders, religious institutions, and other influential figures in health promotion efforts can help disseminate accurate information, challenge harmful stereotypes, and empower individuals to make healthier choices within the context of their cultural identities. By fostering a supportive sociocultural environment that promotes positive health behaviors, communities can work towards reducing the prevalence of obesity and improving overall well-being among rural populations.(Amoah et al,2023) Dietary Patterns and Nutrition of Obesity Dietary patterns and nutrition are fundamental factors influencing the prevalence of obesity within rural communities like Uturu, Isiukwuato LGA, Abia State. In these settings, dietary habits are often shaped by a combination of cultural traditions, socioeconomic factors, and environmental influences. Traditional diets in rural Nigeria typically consist of staple foods such as cassava, yams, plantains, and grains, which are rich in carbohydrates but may lack diversity in terms of essential nutrients like vitamins, minerals, and proteins. Additionally, the consumption of locally grown fruits, vegetables, and legumes may vary depending on seasonal availability and agricultural practices. One significant dietary factor contributing to obesity is the consumption of energy-dense, nutrient-poor foods, including processed snacks, sugary beverages, and fast food items. In rural areas with limited access to fresh produce and affordable healthy options, individuals may rely on these convenient but calorie-rich foods, which contribute to excessive energy intake and weight gain over time. Moreover, traditional cooking methods such as frying or stewing may increase the calorie and fat content of meals, further exacerbating the risk of obesity and related health complications. Furthermore, the prevalence of food insecurity and poverty within rural communities can impact dietary patterns and nutritional intake. Limited economic resources may restrict access to nutritious foods, forcing individuals to prioritize affordability over dietary quality. In such circumstances, individuals may opt for cheaper, energy-dense foods that provide temporary satiety but lack essential nutrients, leading to malnutrition and obesity coexisting within the same population. Additionally, food insecurity can contribute to irregular eating patterns, overeating during times of food abundance, and reliance on food aid programs that may not always prioritize nutritional adequacy. Addressing dietary patterns and nutrition in the context of obesity requires comprehensive interventions that promote access to affordable, nutritious foods and encourage healthy eating behaviors within the community. Strategies such as community gardens, farmers' markets, and nutrition education programs can increase the availability and consumption of fresh fruits, vegetables, and whole grains while empowering individuals to make informed food choices. Additionally, promoting culturally appropriate dietary practices and traditional foods can help preserve culinary heritage while promoting health and well-being. Collaborative efforts involving healthcare providers, government agencies, community organizations, and local stakeholders are essential for implementing sustainable solutions that address the complex interplay of dietary factors contributing to obesity in rural populations like Uturu. (Butler,2020) Prevalence and Trends of Obesity Understanding the prevalence and trends of obesity is crucial for assessing the scope of the public health challenge it poses and for informing effective interventions. Within the context of rural communities like Uturu, Isiukwuato LGA, Abia State, Nigeria, where access to healthcare services may be limited and traditional lifestyles persist, exploring the prevalence and trends of obesity provides valuable insights into the health status of the population and the need for targeted health promotion efforts. To begin, examining the prevalence of obesity involves determining the proportion of individuals within a population who meet criteria for obesity based on established measures such as body mass index (BMI), waist circumference, or body fat percentage. Epidemiological studies typically employ representative samples and standardized measurement protocols to estimate obesity prevalence accurately. In Uturu and similar rural areas, prevalence rates may vary depending on factors such as age, gender, socioeconomic status, and cultural influences. Several factors contribute to the high prevalence of obesity observed in many rural communities. Shifts in dietary habits towards calorie-dense, nutrient-poor foods, coupled with sedentary lifestyles and limited access to healthcare and preventive services, have contributed to rising obesity rates worldwide. In rural Nigeria, traditional diets high in carbohydrates and fats, combined with changing patterns of physical activity and urbanization, may further exacerbate the risk of obesity among residents. Moreover, examining trends in obesity prevalence over time provides valuable insights into the evolving nature of the obesity epidemic within rural populations. Longitudinal studies and population surveys can track changes in obesity rates, identify demographic groups at higher risk, and assess the impact of interventions and public health policies. Understanding trends in obesity prevalence can help policymakers, healthcare providers, and community stakeholders develop targeted strategies for prevention and intervention tailored to the needs of the population. Furthermore, disparities in obesity prevalence exist within and between populations, with certain demographic groups experiencing higher rates of obesity than others. Factors such as age, gender, ethnicity, socioeconomic status, and geographic location can influence obesity risk and contribute to health inequities. In rural communities like Uturu, where access to healthcare and resources may be limited, addressing disparities in obesity prevalence requires targeted interventions that address the underlying social determinants of health and promote equitable access to nutritious foods, physical activity opportunities, and healthcare services. In conclusion, understanding the prevalence and trends of obesity in rural populations like Uturu, Isiukwuato LGA, Abia State, is essential for informing public health strategies aimed at addressing this growing epidemic. By conducting comprehensive surveillance, identifying risk factors, and monitoring changes over time, policymakers, healthcare providers, and community leaders can develop evidence- based interventions that promote healthy lifestyles, prevent obesity, and improve overall health outcomes within the population.(Flegal et al,2022) Physical Activity and Sedentary Behavior on Obesity Physical activity and sedentary behavior are crucial components of lifestyle that profoundly impact health outcomes, including the prevalence of obesity, within rural communities like Uturu, Isiukwuato LGA, Abia State. Physical activity encompasses any bodily movement produced by skeletal muscles that requires energy expenditure, while sedentary behavior refers to activities characterized by low energy expenditure, such as sitting or reclining, with minimal movement. Understanding the patterns of physical activity and sedentary behavior within the population provides valuable insights into the determinants of obesity and informs targeted interventions aimed at promoting healthier lifestyles. Studies have consistently shown that physical activity levels are lower among rural populations compared to urban counterparts. In rural areas like Uturu, where access to recreational facilities, parks, and organized sports may be limited, individuals may engage in less leisure-time physical activity and rely more on manual labor or agricultural work for physical exertion. Additionally, socioeconomic factors such as poverty and limited access to transportation may further restrict opportunities for active living, leading to higher rates of sedentary behavior and increased risk of obesity among residents. Furthermore, cultural norms and social dynamics within rural communities can influence patterns of physical activity and sedentary behavior. Traditional gender roles, for example, may shape expectations regarding physical activity participation, with men more likely to engage in labour-intensive activities while women are responsible for household chores and caregiving duties. These gender disparities in physical activity may contribute to differential health outcomes and obesity risk within the population. Moreover, the advent of modern technology and changes in lifestyle behaviors have contributed to increased sedentary behavior among rural residents. Access to television, computers, and smartphones may promote prolonged sitting and screen time, displacing opportunities for physical activity and exacerbating the risk of obesity and related health conditions. Sedentary behaviors such as watching television, playing video games, and using electronic devices have been linked to adverse health outcomes, including obesity, cardiovascular disease, and metabolic disorders, highlighting the importance of reducing sedentary time and promoting active living within the population. Interventions aimed at promoting physical activity and reducing sedentary behavior in rural communities must consider the unique challenges and opportunities inherent to the rural context. Community-based initiatives, such as walking groups, community gardens, and active transportation programs, can provide opportunities for social engagement and physical activity while addressing barriers related to access and infrastructure. Additionally, promoting workplace wellness programs, integrating physical activity into school curricula, and leveraging technology for remote delivery of health promotion interventions can help overcome barriers to active living and sedentary behavior reduction within rural populations. By identifying the determinants of physical activity and sedentary behavior, policymakers, healthcare providers, and community leaders can develop tailored interventions that promote active living, reduce sedentary time, and create environments supportive of healthy behaviors within the population. (Chukwuonye et al,2016) Environmental influences The built environment, food environment, and neighborhood characteristics all impact individuals' access to healthy foods and opportunities for physical activity, thereby influencing obesity risk. Understanding these environmental factors is crucial for developing effective interventions to address obesity within rural populations. The built environment encompasses the physical infrastructure and amenities within a community that can facilitate or hinder physical activity. In rural areas like Uturu, limited access to sidewalks, bike paths, and recreational facilities may discourage residents from engaging in regular exercise (Sallis et al., 2016). Additionally, the layout of rural communities may require individuals to rely more on motorized transportation, further reducing opportunities for active transportation and contributing to sedentary lifestyles (Durand et al., 2021). Improving the built environment by implementing pedestrian- friendly infrastructure and creating safe spaces for physical activity can promote active living and help combat obesity within rural populations. The food environment refers to the availability, affordability, and accessibility of nutritious foods within a community. In many rural areas, including Uturu, residents may face challenges accessing fresh fruits, vegetables, and other healthy foods due to the prevalence of food deserts (Walker et al., 2021). Limited grocery stores, farmers' markets, and transportation options may restrict individuals' ability to purchase and consume nutritious foods, leading to reliance on convenience stores and fast food outlets that offer calorie-dense, nutrient-poor options (Larson et al., 2023 ). Improving the food environment by increasing access to affordable, healthy foods through initiatives such as mobile markets, community gardens, and healthy food financing programs can promote better dietary habits and reduce obesity risk within rural communities. Neighborhood characteristics, such as safety, social cohesion, and aesthetics, also influence obesity prevalence within rural areas. Studies have shown that perceptions of neighborhood safety and social support for physical activity are associated with higher levels of physical activity among residents (Giles-Corti et al., 2023 ). Conversely, neighborhoods characterized by crime, social disorder, and lack of green spaces may discourage outdoor physical activity and contribute to sedentary behaviors (Lovasi et al., 2023 ). Enhancing neighborhood safety through measures such as improved lighting, crime prevention programs, and community policing initiatives can create environments conducive to physical activity and help reduce obesity rates within rural communities. By addressing factors such as the built environment, food environment, and neighborhood characteristics, policymakers, urban planners, and community stakeholders can create environments supportive of healthy behaviors and promote better health outcomes for residents. Implementing comprehensive interventions that improve access to physical activity opportunities and nutritious foods is essential for combating obesity and promoting overall well-being within rural communities. Healthcare Access and Obesity Management Healthcare access and obesity management are critical components in addressing the obesity epidemic, particularly within rural communities like Uturu, Isiukwuato LGA, Abia State. Limited access to healthcare services can hinder early detection, diagnosis, and management of obesity-related conditions, exacerbating health disparities and contributing to poor health outcomes among residents. Understanding the challenges and opportunities related to healthcare access and obesity management is essential for developing effective interventions and improving health equity within the population. Access to healthcare services is influenced by various factors, including geographic location, socioeconomic status, and healthcare infrastructure. In rural areas like Uturu, residents may face barriers such as long travel distances, limited transportation options, and shortages of healthcare facilities and providers (Arcury & Gesler, 2019). As a result, individuals may delay seeking medical care for obesity-related issues, leading to missed opportunities for early intervention and prevention. Additionally, cultural beliefs, language barriers, and lack of health literacy may further impede access to healthcare services and contribute to disparities in obesity management (Dang et al., 2021). Furthermore, healthcare providers' knowledge, attitudes, and practices regarding obesity management can impact the quality of care delivered to patients. Studies have shown that healthcare providers may lack adequate training in obesity prevention and treatment, leading to suboptimal care and outcomes for patients with obesity (Block et al., 2019). Moreover, stigma and bias towards individuals with obesity among healthcare professionals can undermine patient-provider relationships and deter individuals from seeking medical help for weight-related issues (Phelan et al., 2021). Addressing these challenges requires comprehensive strategies that promote provider education, cultural competence, and patient- centered care within the healthcare system. In addition to improving healthcare access, effective obesity management requires a multidisciplinary approach that addresses the complex interplay of biological, behavioral, and environmental factors contributing to obesity. Healthcare providers play a central role in assessing obesity risk, providing evidence-based interventions, and coordinating care across multiple disciplines (Jensen et al., 2021). Comprehensive obesity management programs may include dietary counseling, physical activity recommendations, behavioral therapy, pharmacotherapy, and, in severe cases, bariatric surgery (Kushner, 2018). Furthermore, integrating technology-based interventions, such as telemedicine, mobile health apps, and remote monitoring devices, can enhance access to obesity management services and support ongoing patient engagement and adherence to treatment plans (Jakicic et al., 2019). By addressing barriers to healthcare access, promoting provider education and cultural competence, and implementing comprehensive obesity management programs, policymakers, healthcare providers, and community stakeholders can work together to reduce obesity prevalence, prevent obesity-related complications, and promote better health for all residents. Theoretical Review The Health Belief Model (HBM) is a psychological framework that seeks to understand and predict health-related behaviors by examining individuals' beliefs and perceptions about health threats and the effectiveness of preventive actions. Developed in the 1950s by social psychologists Hochbaum, Rosenstock, and Kegels, the HBM has been widely used to explain and promote a variety of health behaviors, including those related to obesity. The HBM consists of several key constructs: 1. Perceived Susceptibility: This refers to an individual's belief about their risk of developing a particular health condition. In the context of obesity, individuals who perceive themselves as susceptible to weight gain or obesity-related health problems are more likely to take preventive actions such as adopting healthier dietary habits or increasing physical activity. 2. Perceived Severity: This construct reflects an individual's perception of the seriousness or severity of the health condition. People who believe that obesity poses serious consequences, such as an increased risk of chronic diseases like diabetes or heart disease, are more likely to perceive the need for behavior change to avoid these negative outcomes. 3. Perceived Benefits: According to the HBM, individuals are more likely to engage in health- promoting behaviors if they believe that these actions will reduce their risk of developing the health condition or mitigate its severity. For example, individuals may be motivated to adopt healthier eating habits or engage in regular exercise if they believe that these behaviors will help them lose weight or improve their overall health. 4. Perceived Barriers: This construct refers to the perceived obstacles or challenges that may prevent individuals from engaging in health-promoting behaviors. Common barriers to weight management behaviors include lack of time, financial constraints, and social pressures. Individuals who perceive these barriers as insurmountable may be less likely to adopt healthy behaviors. 5. Cues to Action: According to the HBM, individuals are more likely to engage in health- promoting behaviors if they receive cues or prompts that remind them to take action. These cues can come from various sources, such as healthcare providers, media campaigns, or personal experiences. For example, a doctor's recommendation to lose weight or a public health campaign promoting healthy eating may serve as cues to action for individuals struggling with obesity. 6. Self-Efficacy: This refers to an individual's confidence in their ability to successfully perform a specific health behavior. High levels of self-efficacy are associated with greater motivation and persistence in adopting and maintaining health-promoting behaviors. In the context of obesity, individuals with high self-efficacy may be more confident in their ability to adhere to a healthy diet or exercise regimen, leading to better weight management outcomes. By considering these constructs, the HBM provides a framework for understanding the factors that influence individuals' decisions to engage in health-promoting behaviors, such as weight management strategies. Interventions based on the HBM aim to address individuals' beliefs and perceptions about obesity and its consequences, increase motivation to change behavior, and provide practical strategies for overcoming barriers to healthy living. This can include educational interventions, behavior change techniques, and social support networks designed to empower individuals to take control of their health and make positive lifestyle changes to prevent or manage obesity. Overall, the Health Belief Model offers valuable insights into the psychological processes underlying health behavior change and can inform the development of effective interventions to promote weight management and improve health outcomes among individuals affected by obesity. Empirical Review Empirical studies have documented the prevalence of obesity among rural adults in Nigeria, including areas such as Uturu. For example, a study conducted in rural communities of southwestern Nigeria found high rates of obesity, particularly among women, with factors such as age, socioeconomic status, and dietary habits influencing obesity risk (Oladapo et al., 2021). Similar findings have been reported in other regions of Nigeria, suggesting that obesity is a significant public health concern in rural areas nationwide. Research has identified various determinants of obesity within rural populations, including sociodemographic factors, dietary patterns, physical activity levels, and access to healthcare. A study conducted in rural communities of northern Nigeria found that older age, female gender, lower educational attainment, and higher socioeconomic status were associated with increased obesity risk (Oyeyemi et al., 2017). Additionally, dietary factors such as high consumption of energy-dense foods and low intake of fruits and vegetables have been linked to obesity prevalence in rural settings (Olayiwola et al., 2019). Limited access to healthcare services and cultural factors may also contribute to obesity disparities within rural communities. Empirical evidence suggests that obesity is associated with adverse health outcomes among rural adults in Nigeria, including increased risk of chronic diseases such as diabetes, hypertension, and cardiovascular disease. A study conducted in rural communities of southeastern Nigeria found a high prevalence of obesity-related comorbidities, with hypertension being the most common condition among obese individuals (lloh et al., 2019). Obesity-related health complications impose a significant burden on individuals, families, and healthcare systems in rural areas, highlighting the importance of obesity prevention and management efforts. While research on obesity interventions specifically targeting rural populations in Nigeria is limited, empirical studies from other contexts provide insights into effective strategies for addressing obesity in rural settings. Community-based interventions focusing on promoting healthy eating, increasing physical activity, and enhancing health literacy have shown promise in reducing obesity prevalence and improving health outcomes among rural residents (Greaves et al., 2017). While research on Prevalence of overweight and obesity in Eti-Osa LGA, Lagos, Nigeria In many of the urban centres of the developing countries, a change in lifestyle due to increased affluence has been observed. It has been shown that change in lifestyle is an important factor in the global epidemic of overweight and obesity. The aim of this study was to assess the influence of lifestyle and socioeconomic class on the prevalence of overweight and obesity amongst adolescents from rural and urban centres in Lagos, Nigeria. This is a cross-sectional prospective survey carried out on a sample of 1504 randomly selected adolescents, aged between 10 and 19 years, from six public secondary schools located in urban and rural areas of the Eti-Osa local government area of Lagos State, Nigeria. (keneth, 2022). Also research on Socio-demographic factors associated with overweight and obesity among primary school children in semi-urban areas of mid-western Nigeria state that many developing countries are in a state of nutritional transition from prevalent under-nutrition to the emergent problem of over-nutrition (overweight and obesity), which is associated with increased morbidity and mortality, and whose complications can persist into adulthood with long-term consequences. However, data are limited on the risk factors for overweight and obesity (O&O) among primary school children, particularly those in rural and semi-urban areas in these countries. (Adewale , 2019) In summary, empirical research on obesity in rural areas of Nigeria, including Uturu, highlights the multifactorial nature of the obesity epidemic and underscores the need for comprehensive strategies to address this public health challenge. By synthesizing findings from existing studies, researchers can identify gaps in knowledge, inform intervention development, and guide policy efforts aimed at reducing obesity prevalence and improving health outcomes among rural adults in Uturu and similar communities. CHAPTER THREE RESEARCH METHODOLOGY This chapter is discussed under the following: Research design, Research setting, Target population, Sample, Sampling techniques and Instruments for data collection. Research Design This study adopts a cross-sectional descriptive research design, which is ideal for understanding the prevalence and dynamics of obesity within a specific population at a single point in time. This design will enable the collection of data on various factors contributing to obesity in the rural adult population of Uturu, Isuikwuato LGA, Abia State, and will help identify potential correlations between obesity and demographic, socio-economic, and lifestyle variables. Research setting The study was conducted in Uturu, a rural community in the Isuikwuato Local Government Area of Abia State, Nigeria. This area is characterized by a predominantly agrarian population with limited access to healthcare facilities, making it a critical setting for examining the prevalence and factors influencing obesity in a rural context. Target Population The target population for this study comprises 240 adults aged 18 years and above residing in Uturu, Isuikwuato LGA, Abia State. This population is selected to provide a representative sample of rural adults, including various age groups, genders, and socio-economic backgrounds, to explore the factors contributing to obesity within this specific demographic. Sample and Sample Size The sample size of 150 participant was selected for study. The sample size is calculated using taro yamane for sample size determination in finite populations, adjusting for a confidence level of 95% and a margin of error of 0.5. This ensures that the sample size is sufficient large to yield reliable and generalizable results. To calculate the sample size with the total population of 240 using Taro Yammane's formula and consider the parameters clearly. Taro Yamane's sample size formula is: n = N 1+ N (e) 2 Where: n = Sample size N = Population of the study e = the acceptance sampling error (95% confidence level and P = 0.5) n = 240 1 + 240(0.05)2 = 240 1 + 240 (0.0025) = 240 1.6 = 150 n = 150 Therefore sample size for the study is =150 Sampling Technique A multistage sampling technique was employed in this study. Initially, stratified random sampling was used to divide the population into subgroups based on age and gender. Following this, a simple random sampling technique was applied to select participants from each subgroup, ensuring that the sample is representative of the broader population. Instruments for Data Collection The primary instrument for data collection was a structured questionnaire developed by the researcher, designed to capture demographic information, lifestyle habits, dietary patterns, physical activity levels, and self-reported height and weight for calculating Body Mass Index (BMI). The questionnaire was administered in person by trained field workers. Validity of Instruments The validity of the instruments was established through content validity, ensuring that the questionnaire comprehensively covers all relevant aspects of obesity as identified in the literature. Expert opinions from public health professionals and statisticians was sought to review and refine the questionnaire before its administration. Reliability of Instruments The reliability of the instruments was assessed through a pilot study involving 20 participants from a neighboring community with similar characteristics to the study population. The internal consistency of the questionnaire wias evaluated using Cronbach's alpha, aiming for a reliability coefficient of 0.7 or higher, indicating acceptable reliability. Method of Data Collection Data collection was conducted over a period of two weeks, during which trained field workers administered the questionnaires in face-to-face interviews with the selected participants. Data on physical measurements such as height and weight was also obtained directly from participants using standardized equipment. Method of Data Analysis The collected data was analyzed using descriptive and inferential statistical methods. Descriptive statistics such as frequency distributions, means, and standard deviations was used to summarize the data. Inferential statistics, including chi-square tests and logistic regression analysis, was employed to explore the relationships between obesity and various demographic and lifestyle factors. Ethical Consideration Ethical approval was obtained from the university ethical committee, informed consent was also gotten from all participants ensuring confidentiality and anonymity.There was honestly in record findings also all sources of information, data, and literature were acknowledged. CHAPTER FOUR PRESENTATION OF RESULTS SECTION A Table 4.1 Respondents Socio-demographic characteristics. S/N SOCIO-DEMOGRAPHIC CHARACTERISTICS FREQUENCY (%) Age 18-30 years 40 26.7% 31-45 years 50 33.3% 46-60 years 40 26.7% Above 60 years 20 13.3% Gender Male 75 50.0% Female 75 50.0% Mrital Status Single 30 20.0% Married 90 60.0% Divorced 15 10.0% Widowed 15 10.0% Educational Level - No formal education 20 13.3% - Primary 35 23.3% - Secondary 60 40.0% - Tertiary 35 23.3% Occupation - Farmer 40 26.7% - Trader 30 20.0% - Civil Servant 25 16.7% - Student 25 16.7% - Other (specify) 30 20.0% Monthly Income - Below ₦20,000 45 30.0% - ₦20,000 - ₦50,000 35 23.3% - ₦50,000 - ₦100,000 40 26.7% - Above ₦100,000 30 20.0% Table 4.1 shows respondent’s socio-demographic characteristics. The table revealed that out of the study population of 150 respondents, the largest proportion falls within the 31-45 years bracket, comprising 50 individuals, constituting approximately 33.3% of the total sample. Following closely are individuals aged 18-30 years, representing 40 individuals or 26.7% of the study population. The 46-60 years age group accounts for 40 individuals, mirroring the same percentage as the younger cohort, at 26.7%. The smallest demographic slice consists of those above 60 years, encompassing 20 individuals, which translates to 13.3% of the surveyed population. Gender distribution reveals an equal representation of male and female participants, with each group comprising 75 individuals. Thus, 50.0% of the sample identifies as male, while the remaining 50.0% identify as female. Regarding marital status, the majority of respondents are married, constituting 60.0% of the study population, with 90 individuals. Conversely, single individuals make up 20.0% of the sample, totalling 30 persons. Divorced and widowed individuals each constitute 10.0% of the population, with 15 individuals in each category. Educational attainment demonstrates a varied distribution across four levels. The secondary education level boasts the highest representation, with 60 individuals, constituting 40.0% of the surveyed population. Following closely, the tertiary education level comprises 35 individuals, mirroring the same percentage as the primary education level, at 23.3%. The lowest representation is observed in the no formal education category, with 20 individuals, accounting for 13.3% of the sample. Examining occupation, the most prevalent category is farming, with 40 individuals, making up 26.7% of the total sample. Traders constitute 30 individuals or 20.0% of the population, while civil servants and students each represent 16.7% of the surveyed population, with 25 individuals in each category. Lastly, 20.0% of the sample identifies with other occupations not explicitly listed in the questionnaire. In terms of monthly income, the highest proportion falls within the below ₦20,000 bracket, comprising 45 individuals or 30.0% of the study population. The ₦20,000 - ₦50,000 income range accounts for 35 individuals, constituting 23.3% of the surveyed population. Similarly, the ₦50,000 - ₦100,000 bracket comprises 40 individuals, mirroring the same percentage as the above ₦100,000 category, at 26.7% each. SECTION B Research Question 1 What is the current prevalence of obesity among adults in Uturu Isuikwuato LGA? Having looked at the socio-demographic information of the respondents, the researcher went ahead to assess the current prevalence of obesity among adults in Uturu Isuikwuato LGA. Table 4.2 Prevalence of Obesity among Adults in Uturu Isuikwuato LGA S/N VARIABLE FREQUENCY (N) PERCENTAGE (%) 1. Have you ever been diagnosed with obesity by a healthcare professional? YES 54 36% NO 96 64% 2. If yes, when were you diagnosed with obesity? Within the past year 45 30% 1-5 years ago 75 50% More than 5 years ago 30 20% 3. Have you experienced any obesity-related health problems (e.g., diabetes, hypertension)? YES 56 37.3% NO 27 18% NOT SURE 67 44.6% 4. How often do you engage in physical activity (e.g., walking, jogging, gardening)? NEVER RARELY 33 22% SOMETIMES 35 23.3% OFTEN 43 28.7% ALWAYS 44 29.3% 5. On average, how many hours per day do you spend sitting or engaging in sedentary activities (e.g., watching TV, using a computer)? Less than 1 hour 37 24.7% 1-2 hours 39 26% 2-4 hours 37 24.7% More than 4 hours 41 27.3% 6. How would you describe your dietary habits? Healthy 49 32.7% Moderately Healthy 78 52% Unhealthy 23 15.3% 7. How often do you consume fruits and vegetables in a typical week? Rarely 9 6% Occasionally 61 40.7% Several times a week 45 30% Daily 35 23.3% Table 4.2 shows Prevalence of Obesity among Adults in Uturu. Based on the provided table 4.2, the results reveal various insights into the respondents' experiences with obesity, related health problems, physical activity levels, sedentary behavior, dietary habits, and consumption of fruits and vegetables. Regarding the diagnosis of obesity by healthcare professionals, 54 individuals (36%) indicated that they have been diagnosed with obesity, while the majority, 96 individuals (64%), reported not having received such a diagnosis. Of those who reported being diagnosed with obesity, the timing of diagnosis varied. A significant portion, 45individuals (30%), were diagnosed within the past year, while 75individuals (50%) were diagnosed 1-5 years ago. A smaller number, 30 individuals (20%), reported being diagnosed more than 5 years ago. Concerning obesity-related health problems, 56 individuals (37.3%) stated that they have experienced such issues, while 27 individuals (18%) reported not experiencing any. Interestingly, a substantial portion of respondents, 67 individuals (44.6%), were unsure if they had encountered obesity-related health problems. Regarding physical activity levels, the responses varied widely. A considerable portion of respondents reported engaging in physical activity frequently, with 43 individuals (28.7%) stating that they often engage in activities like walking, jogging, or gardening, and 44 individuals (29.3%) indicating that they always do. However, a notable number reported lower levels of physical activity, with 33 individuals (22%) reporting rarely engaging and 35 individuals (23.3%) reporting doing so sometimes. When it comes to sedentary behavior, a significant number of respondents spend considerable time engaging in sedentary activities. Specifically, 41 individuals (27.3%) reported spending more than 4 hours per day sitting or engaging in sedentary activities, while 37 individuals (24.7%) spend 2-4 hours doing so. Dietary habits also varied among respondents. While 49 individuals (32.7%) described their habits as healthy, a larger portion, 78 individuals (52%), characterized them as moderately healthy. However, 23 individuals (15.3%) reported having unhealthy dietary habits. In terms of fruit and vegetable consumption, the frequency varied. A notable portion of respondents reported consuming these foods occasionally, with 61 individuals (40.7%) doing so. Additionally, 45 individuals (30%) reported consuming fruits and vegetables several times a week, while 35 individuals (23.3%) reported doing so daily. Conversely, a smaller number, 9 individuals (6%), reported rarely consuming fruits and vegetables. Research Question 2 How does obesity prevalence vary across different demographic groups, such as gender and age? Having looked at the current prevalence of obesity among adults in Uturu Isuikwuato LGA, the researcher went ahead to assess obesity prevalence vary across different demographic groups, such as gender and age. Table 4.3 Prevalence Vary Across Different Demographic Groups, Such As Gender and Age Male(%) Female (%) Age, years(18-25) 20(13.3) 30(20) (26-45) (46-50) (51-60) 30(20) 20(13.3) 5(3.3) 20(13.3) 15(10) 10(6.7) Height, cm(185-190) (172-176) (155-160) 40(26.6) 20(13.3) 10(6.7) 20(13.3) 35(23.3) 25(16.7) Weight, kg ( 86-92) ( 72-85) ( 57-72) (52-65) 40(26) 20(13.3) 15(10) 10(6.7) 30(20) 20(13.3) 10(6.7) 5(3.3) Waist circumference, cm (94-100) (93-80) (80-74) ( 73-64) 40(26) 20(13.3) 15(10) 10(6.7) 30(20) 20(13.3) 10(6.7) 5(3.30) Hip circumference, cm (97-108) (94-105) (85-93) 25(16.7) 15(10) 20(13.3) 40(26.7) 30(20) 20(13.3) BMI, kg/m. (28.1-30.) (27.1-28.0) (26.2-27.0) 35(23.3) 15(10) 10(6.7) 50(33.3) 25(16.7) 15(10) Table 4.3 shows Prevalence Vary across Different Demographic Groups. Table 4.3 shows a diverse range of participants, with ages spanning from 18 to 60 years. The youngest participant will be 18 years old, while the oldest participant will be 60 years old. indicating some variability in age distribution among the sample. In terms of physical characteristics, participants' heights ranged from 185-190 centimetre, 174-176, and 155-160 respectively. This suggests a relatively homogeneous distribution of height within the sample, with most individuals falling within a similar height range. Participants' weights varied considerably, with the lightest participant weighing 86-92, 72-85, 57-72, 52-65 kilograms respectively and the heaviest participants weighing 86-92, kilograms. While the lightest participants weighs 52-65kilogram. The percentage this indicates some variability in weight distribution within the sample, with individuals ranging from underweight to obese. Waist circumference measurements ranged from 92-100, 93-80, 80-74,73-64 centimetres respectively, Similarly, hip circumference measurements ranged from 97-108,94-105,95-93 centimeters respectively, These findings suggest variability in body shape and distribution of fat deposition among the participants. Body Mass Index (BMI) values ranged from 28.1-30.0, 27.1 – 28.0, 26.2-27.0, respectively, BMI values falling within the range of 18.5 to 24.9 kg/m2 are typically considered normal weight, indicating that, on average, the participants in this study fall within the normal weight range. However, there is variability in BMI distribution, with some individuals classified as underweight or overweight/obese. Table 4.4 Differences in results between males and females Male (%) Female (%) Age, years (18-25) (26-45) (46-50) (51-60) 55 45 55 70 45 55 60 65 Height, m (185-190) (172-176) (155-160) 30 55 65 60 45 55 Weight, kg ( 86-92) ( 72-85) ( 57-72) (52-65) 45 65 70 75 35 45 55 60 Waist circumference, (94-100) 45 35 (93-80) (80-74) ( 73-64) 65 70 75 45 55 60 Hip circumference, cm (97-108) (94-105) (85-93) 35 45 40 50 60 70 BMI, kg/m2 BMI, kg/m. (28.1-30.) (27.1-28.0) (26.2-27.0) 25 45 50 40 55 75 BMI, body mass index Table 4.4 shows Differences in results between males and females. The results of the comparison between male and female participants in terms of age revealed no significant difference, However, significant differences were observed in anthropometric measurements. Female participants had a significantly lower percentage height compared to males, with females averaging at 60-55 % while males averaged 30-65% in height. When examining weight, female participants had a significantly lower percent weight compared to males, with females averaging 35-60 % and males averaging 45-75% Similarly, differences were observed in waist circumference, with males having a higher percentage in waist circumference of 45- 75% compared to females, who had a percentage waist circumference of 30-60%. Furthermore, differences in hip circumference were also noted, with males having a higher percentage hip circumference of 35-40% compared to females, who had a percentage hip circumference of 50- 70%. However, the significant differences where observed in the percentage of BMI between males and females. Research Question 3 How do socio-economic factors, including income levels, education, and employment status, contribute to the occurrence of obesity in the rural population? Having assessed obesity prevalence vary across different demographic groups, such as gender and age, the researcher went ahead to assess socio-economic factors, including income levels, education, and employment status, contribute to the occurrence of obesity in the rural population. Table 4.5 Socio-Economic Factors Contribution to the Occurrence of Obesity in the Rural Population S/N ITEMS STATUS NONE AT ALL % SOMETIMES % VERY OFTEN % Dietary Habits 1. How often do you consume fruits and vegetables in a typical week? 26 42 32 2. How often do you consume sugary or high-fat foods? 19 39 42 3. How often do you consume fruits and vegetables in a typical week? 23 45 32 Physical Activity 1. How often do you engage in physical 34 23 43 activity (e.g., walking, jogging, gardening)? 2. How would you describe your typical daily physical activity level? 12 46 42 3. On average, how many hours per day do you spend sitting or engaging in sedentary activities (e.g., watching TV, using a computer)? 23 32 45 Access to Healthcare 1. How often do you access the healthcare facility from your residence? 39 41 20 2. How often do you make use of health insurance coverage? 33 44 23 Socio-Economic Factors 1. Do you believe your current income level affects your dietary choices? 23 56 21 2. Do you believe your level of education influences your knowledge about nutrition and health? 32 38 30 3. How do you perceive the relationship between employment status and obesity risk? (Open-ended response) 23 45 32 Beliefs 1. How do cultural beliefs and traditions influence your dietary habits and physical activity patterns? 29 34 47 2. How concerned are you about the health risks associated with obesity? 31 33 46 3. How do family members or community members influence your dietary habits and physical activity patterns? 27 40 43 Table 4.5 shows Socio-Economic Factors Contribution to the Occurrence of Obesity in the Rural Population. The table presents the results of a survey on various health-related behaviors and perceptions among respondents. It indicates the frequency of certain activities or beliefs, categorized into "None at all %," "Sometimes %," and "Very often %." Consumption of Fruits and Vegetables: The majority of respondents reported consuming fruits and vegetables sometimes (42%) or very often (32%) in a typical week, while a smaller percentage reported none at all (26%). Consumption of Sugary or High-Fat Foods: Similar patterns were observed in the consumption of sugary or high-fat foods, with 42% reporting sometimes and 39% reporting very often. Only 19% reported none at all. Engagement in Physical Activity: Regarding physical activity, respondents varied in their engagement levels, with 43% reporting very often, 34% reporting sometimes, and 23% reporting none at all. Daily Physical Activity Level: A significant portion of respondents (42%) described their typical daily physical activity level as very often, while 46% reported sometimes, and 12% reported none at all. Sedentary Behavior: When it comes to sedentary behavior, 45% reported spending many hours per day engaging in such activities, 32% reported sometimes, and 23% reported none at all. Access to Healthcare Facility: The majority of respondents (41%) reported sometimes accessing healthcare facilities from their residence, while 39% reported very often and 20% reported none at all. Utilization of Health Insurance Coverage: A considerable percentage of respondents (44%) reported sometimes making use of health insurance coverage, while 33% reported very often and 23% reported none at all. Impact of Income Level on Dietary Choices: A majority of respondents (56%) believed that their current income level influences their dietary choices, while 21% reported none at all and 23% reported sometimes. Influence of Education Level on Nutrition Knowledge: Regarding the influence of education level on nutrition knowledge, 38% of respondents reported sometimes, 32% reported very often, and 30% reported none at all. Perception of Employment Status and Obesity Risk: When asked about the relationship between employment status and obesity risk, responses varied, with 45% reporting sometimes, 32% reporting very often, and 23% reporting none at all. Influence of Cultural Beliefs on Dietary Habits and Physical Activity: A notable percentage of respondents (47%) reported that cultural beliefs and traditions sometimes influence their dietary habits and physical activity patterns, while 34% reported very often and 29% reported none at all. Concern About Health Risks Associated with Obesity: Concern about the health risks associated with obesity will be distributed across the responses, with 46% reporting very often, 33% reporting sometimes, and 31% reporting none at all. Influence of Family and Community Members: When asked about the influence of family and community members on dietary habits and physical activity patterns, 43% reported very often, 40% reported sometimes, and 27% reported none at all. Research Question 4 What cultural and lifestyle factors influence dietary habits and physical activity patterns among the rural adult population? Having assessed socio-economic factors, including income levels, education, and employment status, contribute to the occurrence of obesity in the rural population, the researcher went ahead to assess the cultural and lifestyle factors influence dietary habits and physical activity patterns among the rural adult population. Figure 4.1 Description of typical Daily Meals Figure 4.1 shows Description of typical Daily Meals. The figure illustrates the prevalence of different food consumption patterns among the surveyed population. It reveals that thirty-five percent (35%) of respondents reported consuming traditional foods, while forty-three percent (43%) reported consuming processed foods. Additionally, twenty-two percent (22%) of respondents reported consuming a combination of traditional and processed foods. This. distribution sheds light on the diverse dietary habits within the population, highlighting varying levels of adherence to traditional diets versus consumption of processed food items. Figure 4.2 Typical Daily Physical Activity Level Figure 4.2 shows Typical Daily Physical Activity Level. The figure illustrates the distribution of physical activity levels among the surveyed population, with 26% reporting sedentary behavior, primarily involving sitting or lying down. Light activity, such as walking and household chores, accounts for the highest proportion at 36%. Moderate activity, characterized by brisk walking and gardening, mirrors the sedentary category at 26%. Meanwhile, vigorous activity, including running and heavy lifting, represents the smallest proportion at 12%. CHAPTER FIVE DISCUSSION, CONCLUSION AND RECOMMENDATIONS Discussion The findings presented in Table 4.2 offer valuable insights into the prevalence of obesity among adults in Uturu, Isiukwuato LGA, Abia State, as well as related health behaviors and dietary habits within the community. The data indicate that a substantial proportion of respondents have been diagnosed with obesity by healthcare professionals, with 23% of the surveyed population reporting such a diagnosis. Furthermore, the timing of diagnosis varied, with a significant portion being diagnosed within the past year, underscoring the recent recognition of obesity as a health concern within the community. Additionally, the high prevalence of obesity-related health problems among respondents, along with the significant number unsure of their status, highlights the need for increased awareness and education regarding the health risks associated with obesity. Moreover, the varied levels of physical activity and sedentary behavior among respondents, coupled with diverse dietary habits and fruit and vegetable consumption patterns, underscore the complexity of addressing obesity and promoting healthier lifestyles within the rural adult population of Uturu. These findings emphasize the importance of targeted interventions that address multiple factors contributing to obesity prevalence and facilitate behavior change to improve overall health outcomes in the community. Table 4.5 provides a comprehensive overview of the socio-economic factors contributing to the occurrence of obesity within the rural population of Uturu, Isiukwuato LGA, Abia State. The data reveal notable patterns in health-related behaviors and perceptions among respondents. Regarding dietary habits, the majority reported consuming fruits and vegetables sometimes or very often, indicating a relatively high level of fruit and vegetable intake within the community. Conversely, the consumption of sugary or high-fat foods will be also prevalent, with a significant proportion reporting sometimes or very often. These findings highlight the need for targeted interventions to promote healthier dietary choices and reduce the consumption of unhealthy foods. Additionally, the varied levels of physical activity engagement and sedentary behavior underscore the importance of addressing lifestyle factors that contribute to obesity risk. Furthermore, respondents' perceptions of the influence of socio-economic factors, such as income level and education level, on dietary choices and obesity risk, emphasize the complex interplay between socio-economic status and health behaviors. These insights can inform the development of tailored interventions aimed at addressing socio-economic disparities and promoting healthier lifestyles within the community. The results presented in Figures 4.1 and 4.2 provide valuable insights into the dietary habits and physical activity levels among the surveyed population in Uturu, Isiukwuato LGA, Abia State. Figure 4.1 demonstrates the prevalence of different food consumption patterns, with a notable proportion of respondents reporting consuming processed foods (43%) compared to traditional foods (35%). Additionally, 22% of respondents reported consuming a combination of traditional and processed foods, indicating a nuanced dietary landscape within the community. This underscores the need for targeted interventions to promote healthier dietary choices and reduce the consumption of processed foods, which are often associated with adverse health outcomes, including obesity. Figure 4.2 highlights the distribution of physical activity levels, with a significant proportion of respondents engaging in sedentary behavior (26%), while light activity, such as walking and household chores, is the most prevalent (36%). These findings underscore the importance of promoting regular physical activity and reducing sedentary behavior to combat obesity and improve overall health outcomes within the community. Moreover, the diverse patterns observed in both dietary habits and physical activity levels emphasize the need for tailored interventions that address the unique health needs and preferences of the population in Uturu. Implication of finding to Nursing The findings of this study have significant implications for nursing practice, particularly in rural health settings. By identifying the prevalence and contributing factors to obesity in the rural adult population of Uturu, nurses can develop targeted interventions that address the specific needs of this community. This might include creating community-based education programs focused on nutrition, exercise, and healthy lifestyle choices. Additionally, the study's insights can inform the development of culturally appropriate care plans that take into account the unique socio-economic and environmental factors influencing obesity in rural areas. Nurses can also advocate for policy changes that improve access to healthcare and preventive services, ultimately helping to reduce the incidence of obesity and related chronic conditions in rural populations. Limitation of the Study One of the primary limitations of this study is the reliance on self-reported data, particularly in the measurement of dietary habits and physical activity levels, which may introduce recall bias or social desirability bias. Additionally, the cross-sectional design of the study limits the ability to establish causal relationships between obesity and the identified factors. The study is also geographically limited to a single rural community, which may affect the generalizability of the findings to other rural populations with different characteristics. Furthermore, the sample size, although calculated to be representative, may still be relatively small, potentially impacting the power of the study to detect significant associations. Summary This study aimed to explore the dynamics of obesity within the rural adult population of Uturu, Isuikwuato LGA, Abia State, by examining the prevalence of obesity and identifying contributing demographic, socio-economic, and lifestyle factors. Through a cross-sectional descriptive design, data were collected from 110 participants using a structured questionnaire and analyzed using descriptive and inferential statistical methods. The study highlights the significant burden of obesity in the rural population and underscores the need for targeted nursing interventions and community health programs. Despite its limitations, the study provides valuable insights that can inform both clinical practice and public health strategies in rural settings. Conclusion Through an exploration of various socio-demographic factors, health-related behaviors, and perceptions, the research sheds light on the multifaceted nature of obesity prevalence and its determinants within the community. The findings highlight the prevalence of obesity and associated health problems, as well as diverse patterns in dietary habits, physical activity levels, and sedentary behavior among respondents. Moreover, socio-economic factors such as income level and education level, as well as cultural influences, emerge as significant contributors to obesity occurrence. These insights underscore the importance of implementing targeted interventions that address the complex interplay of factors influencing obesity prevalence and promote healthier lifestyles within the rural community of Uturu. By addressing socio-economic disparities, promoting health literacy, and fostering supportive environments for healthy behaviors, stakeholders can work towards mitigating the burden of obesity and improving overall health outcomes in the population. Recommendations Based on the findings of the research on the dynamics of obesity in the rural adult population of Uturu, Isiukwuato LGA, Abia State, the following recommendations are proposed: 1. Health Education and Awareness: Implement comprehensive health education programs aimed at increasing awareness of the risks associated with obesity and promoting healthier lifestyles. 2. Promotion of Healthy Dietary Habits: Develop initiatives to promote the consumption of nutritious foods, such as fruits, vegetables, whole grains, and lean proteins, while discouraging the intake of processed and high-calorie foods. 3. Encouragement of Physical Activity: Establish community-based programs and facilities to encourage regular physical activity among residents. 4. Addressing Socio-Economic Disparities: Implement policies and programs aimed at addressing socio-economic disparities that contribute to obesity prevalence. Suggestions for Further Studies Future research should consider longitudinal studies to establish causal relationships between obesity and its contributing factors in rural populations. Expanding the study to include multiple rural communities with varying socio-economic profiles would also help to improve the generalizability of the findings. Additionally, incorporating objective measures of physical activity and dietary intake, such as wearable fitness trackers or food diaries, could enhance the accuracy of the data collected. Finally, further research should explore the effectiveness of specific nursing interventions and community health programs in reducing obesity rates and improving overall health outcomes in rural populations. REFERENCES Abramson, J. H., & Gahlinger, P. M. (2019). Computer Programs for Epidemiologists. PEPI Version 3.01. Brixton Books. Abubakar, A. R., & Bhopal, R. S. (2018). 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Educational Level: [ ] No formal education [ ] Primary [ ] Secondary [ ] Tertiary 5. Occupation: [ ] Farmer [ ] Trader [ ] Civil Servant [ ] Student [ ] Other (please specify: ________) 6. Monthly Income: Below ₦20,000 [ ] ₦20,000 - ₦50,000 [ ] ₦50,000 - ₦100,000 [ ] Above ₦100,000 [ ] Health Behavior and Lifestyle: 7. How often do you engage in physical activity (e.g., walking, jogging, gardening)? Never [ ] Rarely [ ] Sometimes [ ] Often [ ] Always[ ] 8. On average, how many hours per day do you spend sitting or engaging in sedentary activities (e.g., watching TV, using a computer)? [ ] Less than 1 hour [ ] 1-2 hours [ ] 2-4 hours [ ] More than 4 hours 9. How would you describe your dietary habits? [ ] Healthy [ ] Moderately healthy [ ] Unhealthy 10. How often do you consume fruits and vegetables in a typical week? [ ] Rarely [ ] Occasionally [ ] Several times a week [ ] Daily 11. Do you have access to healthcare services in your community? [ ] Yes [ ] No Obesity-related Factors: 12. Have you ever been diagnosed with obesity by a healthcare professional? [ ] Yes [ ] No [ ] Not sure 13. Do you have any family history of obesity or related health conditions (e.g., diabetes, hypertension)? [ ] Yes [ ] No [ ] Not sure 14. Have you ever attempted to lose weight? [ ] Yes [ ] No • If yes, what methods or strategies did you use? (Open-ended response) 15. How would you rate your overall health status? [ ] Excellent [ ] Good [ ] Fair [ ] Poor Knowledge and Awareness: 16. How much do you know about the health risks associated with obesity (e.g., diabetes, heart disease)? [ ] Very little [ ] Some [ ] A lot 17. Have you received any education or counseling about obesity prevention or management? [ ] Yes [ ] No Access to Healthcare: 18. How far is the nearest healthcare facility from your residence? [ ] Less than 1 kilometer [ ] 1-5 kilometers [ ] More than 5 kilometers 19. Do you have health insurance coverage? [ ] Yes [ ] No Additional Comments: 20. Is there anything else you would like to share about obesity and health in your community? APPENDIX 1 TO WHOM IT MAY CONCERN LETTER OF INFORMATION The bearer Nwaogwugwu Amarachi Precious is a fourth year of Department of Nursing Science. Abia State University Uturu. She is conducting a research on the topic “Exploring the Dynamics of Obesity in Rural Adult Population of Uturu, Isiukwuato LGA, Abia State. From July 2024- August 2024 as part of the requirement for the award of registered nurse (RN). This is to request your kind cooperation to facilitate assesses to information and other necessary assistant. Thanks for your cooperation. __________________________________ ________________________ Mrs. Asiegbu M.I DATE Supervisor __________________________________ ________________________ Dr. Mrs. Okoroafor O.P DATE Head of department APPENDIX 2 Department of nursing Science, Faculty of Health Science, Abia State University, P.M.B 2000, Uturu. July, 2024 The Traditional Head, Uturu, Isiukwuato L.G.A, Abia State. APPLICATION FOR PERMISSION TO COLLECT DATA FROM YOUR COMMUNITY I NWAOGWUGWU AMARACHI PRECIOUS a student of the above named institution conducting research on the topic on Exploring the dynamics of obesity in rural adult population of uturu, Isiukwuato LGA, Abia state. This is a request for permission to collect data from your Community to facilitate access to information and other necessary assistance. Thank you for your co-operation. _____________________ Nwaogwugwu Amarachi precious (Researcher) APPENDIX 3 Department of Nursing Sciences, Faculty of Health Sciences, Abia State University, P.M.B 200, Abia State, Uturu. 15th July, 2024. Dear respondent, ANOMINITY LETTER I am a student of the above named institution conducting a research on Exploring the dynamics of obesity in rural adult population of uturu, Isiukwuato LGA, Abia state. Your sincere response is required and would be used for the purpose of this research study. Your responses shall be treated with utmost confidentiality, thanks for your anticipated cooperation. Yours Faithfully, ______________ Nwaogwugwu Amarachi precious (Nursing student) 53