Design and evaluate a community-based physical activity intervention for adolescent health improvement

Thesis Abstract

The increasing prevalence of sedentary lifestyles among adolescents poses significant public health challenges, including rising rates of obesity, cardiovascular risk factors, and mental health issues, necessitating urgent and context-specific intervention strategies. This study aims to design, implement, and evaluate a community-based physical activity program tailored to improve adolescent health outcomes within urban settings. The specific objectives are to assess the baseline physical activity levels and health status of adolescents, develop culturally appropriate intervention components, evaluate the effectiveness of the intervention in increasing physical activity engagement, and determine its impact on selected health indicators such as body mass index (BMI), blood pressure, and self-reported mental well-being. Employing a quasi-experimental research design with pre-test and post-test control groups, the study targeted adolescents aged 13 to 17 years residing in three urban communities. A total of 300 adolescents was purposively sampled, with 150 assigned to the intervention group and 150 to the control group through stratified random sampling based on gender and socio-economic status. Data collection instruments included a validated Physical Activity Questionnaire (PAQ), health assessment protocols for measuring BMI and blood pressure, and a standardized adolescent mental health questionnaire. The validity and reliability of the instruments were established through pilot testing and statistical analysis, including Cronbach’s alpha and factor analysis. The intervention comprised thrice-weekly supervised physical activity sessions incorporating sports, aerobic exercises, and lifestyle education, led by trained community health workers over a period of six months. Process evaluation was conducted to monitor fidelity and participation rates, while outcome evaluation involved quantitative analysis of changes in physical activity levels and health indicators. Descriptive statistics summarized demographic and baseline data, while inferential statistical techniques such as repeated measures ANOVA tested for significant differences within and between groups. Multiple regression analysis explored predictors of behavior change, controlling for confounding variables. It is anticipated that the findings will demonstrate statistically significant increases in moderate to vigorous physical activity among the intervention group, accompanied by reductions in BMI and blood pressure, and improvements in mental health scores. The study is expected to reveal that community engagement, culturally relevant activities, and peer support are crucial mediators of successful intervention outcomes. Moreover, the integration of social cognitive theory and ecological models of health behavior will provide a comprehensive framework explaining observed changes, offering a model for similar initiatives in comparable urban contexts. The research contributes new knowledge by providing evidence of the feasibility, effectiveness, and contextual adaptation of community-based physical activity interventions for adolescents, thus filling gaps identified in prior literature concerning sustainability and cultural relevance. The study also advances understanding of how social and environmental factors interact to influence adolescent health behaviors. The main conclusion emphasizes that well-structured, community-led programs can significantly enhance physical activity and health among urban adolescents, thereby informing policy development and program planning. Based on the results, it is recommended that policymakers and health practitioners prioritize community participation in designing adolescent health interventions, integrate physical activity promotion into school and community settings, and allocate resources towards sustaining peer-led initiatives. Future research should explore longitudinal impacts, replicability in rural environments, and integration of digital health tools to enhance engagement, to further strengthen the evidence base and optimize intervention strategies.