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新西兰奥塔哥地区不同环境下健康和体重不健康青少年的饮食模式指标

Dietary Pattern Indicators among Healthy and Unhealthy Weight Adolescents Residing in Different Contexts across the Otago Region, New Zealand.

作者信息

Coppell Kirsten J, Keall Michael, Mandic Sandra

机构信息

Department of Medicine, University of Otago Wellington, Wellington South 6242, New Zealand.

Nelson Marlborough Institute of Technology, Nelson 7010, New Zealand.

出版信息

Children (Basel). 2023 Aug 24;10(9):1445. doi: 10.3390/children10091445.

Abstract

Reported obesity rates for adolescents in different urban and rural areas are inconsistent. We examined indicators of healthy and unhealthy dietary patterns among 1863 adolescents aged 13-18 years with a healthy or excess body weight attending 23 secondary schools in four different settlement types across the Otago region, New Zealand. An online survey included demographics and dietary behaviours. Height and weight were measured, and body mass index was calculated. New Zealand defined urban and rural settlement types were used. Home addresses determined a small area-level index of deprivation. Data were analysed using Chi-square tests and ANOVA. A logistic model was fitted to estimate adjusted odds ratios of excess weight. The proportion of adolescents with a healthy weight differed ( < 0.001) between the most (64.9%) and least (76.4%) deprived neighbourhood areas. There was only indicative evidence of differences between settlement types ( = 0.087). Sugar-sweetened beverage and fast-food consumption was more frequent in the most deprived areas ( < 0.001), and in urban versus rural settlements ( < 0.001). The most important associations with excess weight were area-level deprivation and ethnicity, but not settlement type. Prioritising socioeconomic factors irrespective of settlement type is necessary when developing interventions to improve dietary patterns and body weight status among adolescents.

摘要

不同城乡地区青少年的肥胖率报告并不一致。我们调查了新西兰奥塔哥地区四种不同定居类型的23所中学中1863名13 - 18岁体重正常或超重的青少年的健康和不健康饮食模式指标。一项在线调查涵盖了人口统计学和饮食行为。测量了身高和体重,并计算了体重指数。采用了新西兰定义的城乡定居类型。家庭住址确定了一个小区域层面的贫困指数。数据采用卡方检验和方差分析进行分析。拟合了一个逻辑模型来估计超重的调整比值比。在最贫困(64.9%)和最不贫困(76.4%)的社区地区,体重正常的青少年比例存在差异(<0.001)。定居类型之间仅存在指示性差异证据(=0.087)。在最贫困地区以及城市与农村定居点中,含糖饮料和快餐的消费更为频繁(<0.001)。与超重最重要的关联因素是区域层面的贫困和种族,而非定居类型。在制定干预措施以改善青少年的饮食模式和体重状况时,无论定居类型如何,优先考虑社会经济因素都是必要的。

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