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A multilevel analysis of socioeconomic (small area) differences in household food purchasing behaviour

机译:家庭食品购买行为的社会经济(小区域)差异的多层次分析

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摘要

>Study objective: To examine the association between area and individual level socioeconomic status (SES) and food purchasing behaviour. >Design: The sample comprised 1000 households and 50 small areas. Data were collected by face to face interview (66.4% response rate). SES was measured using a composite area index of disadvantage (mean 1026.8, SD = 95.2) and household income. Purchasing behaviour was scored as continuous indices ranging from 0 to 100 for three food types: fruits (mean 50.5, SD = 17.8), vegetables (61.8, 15.2), and grocery items (51.4, 17.6), with higher scores indicating purchasing patterns more consistent with dietary guideline recommendations. >Setting: Brisbane, Australia, 2000. >Participants: Persons responsible for their household's food purchasing. >Main results: Controlling for age, gender, and household income, a two standard deviation increase on the area SES measure was associated with a 2.01 unit increase on the fruit purchasing index (95% CI -0.49 to 4.50). The corresponding associations for vegetables and grocery foods were 0.60 (-1.36 to 2.56) and 0.94 (-1.35 to 3.23). Before controlling for household income, significant area level differences were found for each food, suggesting that clustering of household income within areas (a composition effect) accounted for the purchasing variability between them. >Conclusions: Living in a socioeconomically advantaged area was associated with a tendency to purchase healthier food, however, the association was small in magnitude and the 95% CI for area SES included the null. Although urban areas in Brisbane are differentiated on the basis of their socioeconomic characteristics, it seems unlikely that where you live shapes your procurement of food over and above your personal characteristics.
机译:>研究目标:检查区域和个人的社会经济地位(SES)与食品购买行为之间的关联。 >设计:该样本包括1000户家庭和50个小区域。通过面对面访谈收集数据(66.4%的回复率)。 SES是使用不利的综合面积指数(平均1026.8,SD = 95.2)和家庭收入来衡量的。三种食品类型的购买行为被评为从0到100的连续指数:水果(平均50.5,SD = 17.8),蔬菜(61.8、15.2)和杂货(51.4、17.6),得分越高表明购买方式越多符合饮食指南的建议。 >环境:澳大利亚,布里斯班,2000年。>参与者:负责家庭食物购买的人员。 >主要结果:控制年龄,性别和家庭收入后,SES面积测量值的两个标准差增加与水果购买指数增加2.01单位相关(95%CI -0.49至4.50 )。蔬菜和杂货的对应关联为0.60(-1.36至2.56)和0.94(-1.35至3.23)。在控制家庭收入之前,每种食物的面积水平存在显着差异,这表明家庭收入在区域内的聚集(构成效应)解释了它们之间的购买差异。 >结论:生活在具有社会经济优势的地区与购买更健康食品的趋势有关,但是,关联程度很小,SES区域的95%CI包括零。尽管布里斯班的城市地区根据其社会经济特征而有所区别,但您居住的地方似乎不太可能超越您的个人特征来影响您的食物采购。

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