Exploring predictors of eating behaviour among adolescents by gender and socio-economic status
Exploring predictors of eating behaviour among adolescents by gender and socio-economic status
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DOI：
10.1079/phn2002334
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发表时间：
2002-10-01
影响因子：
3.2
通讯作者：
Klepp, KI
中科院分区：
文献类型：
--
作者：
Lien, N;Jacobs, DR;Klepp, KI
客观的。本研究以理论为指导，探讨了影响青少年饮食行为的因素（包括性别和社会经济地位（SES））的横截面差异，并随后测试了模型的纵向预测能力。 设计/设置/受试者：通过对来自挪威霍达兰县的青少年（基线年龄为 13 岁）及其父母的纵向研究问卷收集数据。在 15 岁时评估了个人和环境变量（家庭、朋友、学校/社会）与水果和蔬菜 (FV) 以及选定的脂肪和糖来源的消耗之间的关系 (n = 613)。最终的横截面模型随后用于按性别/社会经济地位分层的组中，并预测 21 岁时的消费量 (n = 380)。 结果：该模型解释了更多糖评分 (21%) 和 FV 评分 (13.5%) 的变化，而不是脂肪评分 (0%) 的变化。 SES 与糖分和 FV 分数相关。与糖分和 FV 最强的关联分别是反社会行为和自身饮食评估。前一种关联在所有性别/社会经济地位群体中均显着，而后一种关联仅在低社会经济地位群体中显着。对于所有三种类型的食物，纵向模型中最强的显着预测因素是 15 岁时的消费频率。 结论：该模型解释饮食行为变化的能力因食物类型而异，也可能因性别/社会经济地位而异，但之前的饮食行为是所有三种食物的重要预测因素。在进一步调查这些因素与性别/社会经济地位对饮食行为发展的影响和相互关系时，前瞻性研究应仔细操作理论结构。
Objective. Guided by theory, this study explored cross-sectional differences in factors influencing adolescent eating behaviour including gender and socio-economic status (SES), and subsequently tested the longitudinal predictive power of the models.Design/setting/subjects: Data were collected by questionnaires in a longitudinal study of adolescents (age 13 years at baseline) and their parents from Hordaland County, Norway. Association of personal and environmental variables (family, friends, school/society) with the consumption of fruit and vegetables (FV) and selected sources of fat and of sugar were assessed at age 15 (n = 613). The final cross-sectional models were subsequently employed in groups stratified by gender/SES and to predict consumption at age 21 (n = 380).Results: The model explained more of the variation in the sugar score (21%) and the FV score (13.5%) than in the fat score 0%). SES was associated with both the sugar and FV scores. The strongest associations with the sugar score and FV were for antisocial behaviour and evaluation of own diet, respectively. The former association was significant in all gender/SES groups, whereas the latter association was only significant in the low SES groups. For all three types of food, the strongest significant predictors in the longitudinal models were frequency of consumption at age 15.Conclusion: The model's ability to explain variation in eating behaviours differed by food type, and possibly by gender/SES, but previous eating behaviour was an important predictor for all three foods. Prospective studies should carefully operationalise theoretical constructs when further investigating the influences of and interrelationships between these factors and gender/SES on the development of eating behaviours.