Chansukree Pananda, Rungjindarat Nitinai
Research Center, National Institute of Development Administration, Bangkok, Thailand.
Research Center, National Institute of Development Administration, Bangkok, Thailand.
J Nutr Educ Behav. 2017 Mar;49(3):204-210.e1. doi: 10.1016/j.jneb.2016.10.019.
To investigate the impact of social cognitive determinants on healthy eating behaviors among adolescents, with a specific focus on gender differences.
Cross-sectional analysis of survey data.
Bangkok, Thailand.
A total of 1,200 undergraduates from public and private universities.
Dependent variable: healthy eating behaviors measured by the total score of 11 items adapted from the Australian Dietary Guideline Index.
self-efficacy, intentions, outcome expectations, perceived benefits, perceived barriers, situations, social support from parents and guardians, and social support from peers (measured by 54 Likert-type items).
Multiple linear regressions (α and P < .01).
Self-efficacy, intentions, perceived barriers, and situations had statistically significant relationships with healthy eating behaviors (ß = .17, .16, -.15, and .19, respectively). The predictor variables explained 18.1% of variance. Healthy eating in male adolescents was best predicted by perceived barriers, whereas that in female adolescents was best predicted by situations.
These results indicate that relevant agencies should deliver gender-specific approaches to promote healthy eating in adolescents. The findings demonstrate the need for further studies to explore a broader range of factors influencing adolescent eating behaviors.
探讨社会认知决定因素对青少年健康饮食行为的影响,特别关注性别差异。
对调查数据进行横断面分析。
泰国曼谷。
来自公立和私立大学的1200名本科生。
因变量:采用澳大利亚膳食指南指数改编的11项总分衡量的健康饮食行为。
自我效能感、意图、结果期望、感知益处、感知障碍、情境、来自父母和监护人的社会支持以及来自同伴的社会支持(通过54个李克特式项目衡量)。
多元线性回归(α和P <.01)。
自我效能感、意图、感知障碍和情境与健康饮食行为存在统计学上的显著关系(β分别为.17、.16、-.15和.19)。预测变量解释了18.1%的方差。男性青少年的健康饮食最佳预测因素是感知障碍,而女性青少年的健康饮食最佳预测因素是情境。
这些结果表明,相关机构应采取针对性别的方法来促进青少年的健康饮食。研究结果表明需要进一步研究以探索影响青少年饮食行为的更广泛因素。