Socioecological factors influencing sugar-sweetened beverage consumption among adolescents in South Korea: a cross-sectional study
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Purpose: This study explored the intrapersonal, interpersonal, and school factors, following the socioecological model, associated with sugar-sweetened beverage (SSB) consumption in Korean high-school students. Methods: A total of 231 students from first to third grade, aged 15–18 years, participated in this cross-sectional study. Multiple linear regression analysis was conducted to identify the factors. Results: Among the intrapersonal factors, fast-food consumption (β = .13, t = 1.97, p = .050) and habit strength of SSB consumption were positively associated (β = .35, t = 4.30, p < .001), and sleep duration was negatively associated with SSB consumption (β = -.14, t = -2.02, p = .045). Among interpersonal factors, perceived SSB consumption by peers was positively associated (β = .30, t = 4.93, p < .001), and among school factors, vending machines at school (β = .13, t = 2.07, p = .039) and supermarkets and convenience stores near schools were positively associated with SSB consumption (β = .17, t = 2.87, p = .005). Conclusion: School nurses should propose policies and interventions that consider the multilevel factors to reduce SSB consumption in adolescents.
Abstract
Purpose: This study explored the intrapersonal, interpersonal, and school factors, following the socioecological model, associated with sugar-sweetened beverage (SSB) consumption in Korean high-school students. Methods: A total of 231 students from first to third grade, aged 15–18 years, participated in this cross-sectional study. Multiple linear regression analysis was conducted to identify the factors. Results: Among the intrapersonal factors, fast-food consumption (β = .13, t = 1.97, p = .050) and habit strength of SSB consumption were positively associated (β = .35, t = 4.30, p < .001), and sleep duration was negatively associated with SSB consumption (β = -.14, t = -2.02, p = .045). Among interpersonal factors, perceived SSB consumption by peers was positively associated (β = .30, t = 4.93, p < .001), and among school factors, vending machines at school (β = .13, t = 2.07, p = .039) and supermarkets and convenience stores near schools were positively associated with SSB consumption (β = .17, t = 2.87, p = .005). Conclusion: School nurses should propose policies and interventions that consider the multilevel factors to reduce SSB consumption in adolescents.