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Science. 2010 Jan 29;327(5965):576-9. doi: 10.1126/science.1180606. Epub 2009 Dec 17.
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Obesity and functional impairment: influence of comorbidity, joint pain, and mental health.肥胖与功能障碍:合并症、关节疼痛和精神健康的影响。
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Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes).欧洲人群的水果和蔬菜摄入量及其随后的体重变化:饮食、肥胖与基因(DiOGenes)项目的结果
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Considerations for an obesity policy research agenda.肥胖政策研究议程的考量因素。
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Does social class predict diet quality?社会阶层能预测饮食质量吗?
Am J Clin Nutr. 2008 May;87(5):1107-17. doi: 10.1093/ajcn/87.5.1107.
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Socioeconomic position at different stages of the life course and its influence on body weight and weight gain in adulthood: a longitudinal study with 13-year follow-up.生命历程不同阶段的社会经济地位及其对成年期体重和体重增加的影响:一项为期13年随访的纵向研究。
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Increasing healthy eating vs. reducing high energy-dense foods to treat pediatric obesity.增加健康饮食与减少高能量密度食物以治疗儿童肥胖症。
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即使在控制了人口统计学、社会经济和生活方式因素后,水果和蔬菜摄入与 BMI 之间仍呈负相关。

Inverse association between fruit and vegetable intake and BMI even after controlling for demographic, socioeconomic and lifestyle factors.

机构信息

Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.

出版信息

Obes Facts. 2011;4(6):449-55. doi: 10.1159/000335279. Epub 2011 Dec 6.

DOI:10.1159/000335279
PMID:22248995
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3338984/
Abstract

OBJECTIVE

To estimate fruit and vegetable (FV) intake levels of US adult population and evaluate the association between FV intake and BMI status after controlling for confounding demographic, socioeconomic and lifestyle factors. We also sought to identify moderating factors.

METHODS

We used 2007 Behavior Risk Factors Surveillance System (N > 400,000) data. FV intake was dichotomized as ≥5 servings (FV5+) versus <5 servings/ day. BMI status was categorized as normal, overweight, and obese. Identification of moderators was performed by testing interactions between BMI status and other variables using bivariate analyses followed by multiple logistic regression analysis incorporating complex survey sampling design features.

RESULTS

Only 24.6% of US adults consumed ≥5 servings per day and less than 4% consumed 9 or more servings. Overweight (% FV5+ = 23.9%) and obese (21.9%) groups consumed significantly less FV than the normal-weight (27.4%) group (p < 0.0001). This inverse association remained significant even after controlling for potential confounding factors. Multivariate analysis identified five significant moderators (p < 0.0001) after controlling for all evaluated variables: race, sex, smoking status, health coverage, and physical activity. Notably, physically inactive obese males tended to consume the least FV (% FV5+ = 14.7%).

CONCLUSION

Current US population FV intake level is below recommended levels. The inverse association between FV intake and obesity was significant and was moderated by demographic, socioeconomic status, and lifestyle factors. These factors should be considered when developing policies and interventions to increase FV intake.

摘要

目的

评估美国成年人的水果和蔬菜(FV)摄入量水平,并在控制混杂的人口统计学、社会经济和生活方式因素后,评估 FV 摄入量与 BMI 状况之间的关系。我们还试图确定调节因素。

方法

我们使用了 2007 年行为风险因素监测系统(N>400000)的数据。FV 摄入量分为≥5 份(FV5+)与<5 份/天。BMI 状况分为正常、超重和肥胖。通过使用双变量分析测试 BMI 状况与其他变量之间的相互作用,然后使用包含复杂调查抽样设计特征的多变量逻辑回归分析来识别调节因素。

结果

只有 24.6%的美国成年人每天摄入≥5 份,不到 4%的人每天摄入 9 份或更多份。超重(%FV5+ = 23.9%)和肥胖(21.9%)组的 FV 摄入量明显低于正常体重(27.4%)组(p < 0.0001)。即使在控制了潜在的混杂因素后,这种负相关仍然显著。多变量分析在控制了所有评估变量后,确定了五个显著的调节因素(p < 0.0001):种族、性别、吸烟状况、健康保险和体力活动。值得注意的是,不活跃的肥胖男性往往摄入最少的 FV(%FV5+ = 14.7%)。

结论

目前美国人口的 FV 摄入量低于推荐水平。FV 摄入量与肥胖之间的负相关关系显著,并受人口统计学、社会经济地位和生活方式因素的调节。在制定增加 FV 摄入量的政策和干预措施时,应考虑这些因素。