Zarnowiecki Dorota M, Parletta Natalie, Dollman James
1School of Population Health,Sansom Institute for Health Research,University of South Australia,GPO Box 2471,Adelaide,SA 5001,Australia.
2School of Health Sciences,Sansom Institute for Health Research,University of South Australia,Adelaide,South Australia,Australia.
Public Health Nutr. 2016 Jan;19(1):55-70. doi: 10.1017/S1368980015001081. Epub 2015 Apr 23.
There is limited understanding as to why children of low socio-economic position (SEP) consume poorer diets than children of high SEP. Evidence suggests that determinants of dietary intake may differ between SEP groups. The present study aimed to determine if SEP moderated associations of personal and environmental predictors with children's non-core food and sweetened drink intakes and unhealthy dietary behaviours.
Children completed online questionnaires and parents completed computer-assisted telephone interviews to assess intrapersonal and environmental dietary predictors. Dietary intake was measured using an FFQ. Parents reported demographic information for maternal education, occupation and employment, and household income.
Twenty-six primary schools in South Australia, Australia.
Children aged 9-13 years and their parents (n 395).
Multiple personal and home environment factors predicted non-core food and sweetened drink intakes, and these associations were moderated by SEP. Maternal education moderated associations of girls' sweetened drink intake with self-efficacy, cooking skills and pressure to eat, and boys' non-core food intake with monitoring, parent's self-efficacy and home environment. Maternal occupation and employment moderated associations of sweetened drink intake with attitudes, self-efficacy, pressure to eat and food availability, and non-core food intake with parents' self-efficacy and monitoring. Income moderated associations with pressure to eat and home environment.
Identifying differences in dietary predictors between socio-economic groups informs understanding of why socio-economic gradients in dietary intake may occur. Tailoring interventions and health promotion to the particular needs of socio-economically disadvantaged children may produce more successful outcomes and reduce socio-economic disparities in dietary intake.
对于社会经济地位低下(SEP)的儿童饮食比社会经济地位高的儿童差的原因,人们了解有限。有证据表明,不同SEP群体的饮食摄入量决定因素可能有所不同。本研究旨在确定SEP是否会调节个人和环境预测因素与儿童非核心食品和含糖饮料摄入量以及不健康饮食行为之间的关联。
儿童完成在线问卷,父母完成计算机辅助电话访谈,以评估个人和环境饮食预测因素。饮食摄入量通过食物频率问卷进行测量。父母报告了母亲教育程度、职业和就业情况以及家庭收入等人口统计学信息。
澳大利亚南澳大利亚州的26所小学。
9至13岁的儿童及其父母(n = 395)。
多种个人和家庭环境因素可预测非核心食品和含糖饮料的摄入量,并且这些关联受到SEP的调节。母亲的教育程度调节了女孩含糖饮料摄入量与自我效能感、烹饪技能和进食压力之间的关联,以及男孩非核心食品摄入量与监督、父母自我效能感和家庭环境之间的关联。母亲的职业和就业情况调节了含糖饮料摄入量与态度、自我效能感、进食压力和食物可得性之间的关联,以及非核心食品摄入量与父母自我效能感和监督之间的关联。收入调节了与进食压力和家庭环境的关联。
确定社会经济群体之间饮食预测因素的差异有助于理解为何会出现饮食摄入量方面的社会经济梯度。根据社会经济弱势儿童的特殊需求制定干预措施和健康促进计划可能会产生更成功的结果,并减少饮食摄入量方面的社会经济差距。