Acceso usuarios
Aaltje E. Manampiring, Jimmy Posaangi, Joice N. Engka, Mira Kumayas, Karina E. Kussoy
Background: Adolescence is a critical developmental stage marked by physical, psychological, and social changes that influence long-term health outcomes. Various behavioral and health-related factors may affect adolescents’ quality of life; however, evidence from regional settings in Indonesia remains limited.
Objective: To analyze factors associated with adolescents’ quality of life and health in North Minahasa Regency.
Methods: A school-based cross-sectional study was conducted among 427 adolescents aged 13–18 years recruited from eight randomly selected junior and senior high schools in North Minahasa Regency, Indonesia, between November 2023 to February 2024. Sample size was calculated using a single population proportion formula with a 95% confidence level and 5% margin of error. Data were collected using validated Indonesian versions of the WHOQOL-BREF, Pittsburgh Sleep Quality Index (PSQI), and Global School-based Student Health Survey (GSHS). Quality-of-life scores were transformed according to WHO guidelines and categorized using median-based cut-off values. Chi-square tests were performed for bivariate analyses. Variables with p<0.25 were entered into multivariable logistic regression models. Separate logistic regression analyses were conducted for physical, psychological, social, and environmental quality-of-life domains. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were reported.
Results: Poor nutritional status was independently associated with poorer physical (AOR=1.85; 95%CI:1.12–3.04), psychological (AOR=2.10; 95%CI:1.35–3.26), and environmental quality of life (AOR=1.76; 95%CI:1.07–2.89). Smoking behavior was associated with poorer physical (AOR=1.62; 95%CI:1.05–2.50) and psychological quality of life (AOR=1.94; 95%CI:1.15–3.28). Alcohol consumption significantly increased the likelihood of poor physical quality of life (AOR=2.25; 95%CI:1.45–3.49). Poor sexual and reproductive health was associated with lower quality of life in physical, psychological, and environmental domains. Female gender and poor physical activity were independently associated with poorer psychological well-being.
Conclusion: Adolescents’ quality of life in North Minahasa is influenced by multiple behavioral and health-related factors, particularly nutritional status, smoking, alcohol consumption, physical activity, and reproductive health. Comprehensive school-based and community-based interventions are necessary to improve adolescent well-being.
