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The association of body mass index with social and economic disadvantage in women and men.体重指数与男性和女性社会经济劣势之间的关联。
Int J Epidemiol. 1999 Jun;28(3):445-9. doi: 10.1093/ije/28.3.445.
2
Socioeconomic differences in weight gain and determinants and consequences of coronary risk factors.体重增加方面的社会经济差异以及冠心病风险因素的决定因素和后果。
Am J Clin Nutr. 1999 Apr;69(4):719-26. doi: 10.1093/ajcn/69.4.719.
3
Body mass index and its association with socioeconomic and behavioral variables among socioeconomically heterogeneous populations of Andhra Pradesh, India.印度安得拉邦社会经济状况各异人群的体重指数及其与社会经济和行为变量的关联。
Hum Biol. 1998 Oct;70(5):901-17.
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Body mass index as indicator of standard of living in developing countries.身体质量指数作为发展中国家生活水平的指标。
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Socio-economic status and blood pressure: an overview analysis.社会经济地位与血压:综述分析
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The impact of socioeconomic status on health functioning as assessed by the SF-36 questionnaire: the Whitehall II Study.通过SF-36问卷评估社会经济地位对健康功能的影响:白厅II研究。
Am J Public Health. 1997 Sep;87(9):1484-90. doi: 10.2105/ajph.87.9.1484.
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The effects of occupation-based social position on mortality in a large American cohort.基于职业的社会地位对美国一个大型队列人群死亡率的影响。
Am J Public Health. 1997 Sep;87(9):1472-5. doi: 10.2105/ajph.87.9.1472.
8
Obesity.肥胖症
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9
Smoking and relative body weight: an international perspective from the WHO MONICA Project.吸烟与相对体重:来自世界卫生组织莫尼卡项目的国际视角
J Epidemiol Community Health. 1997 Jun;51(3):252-60. doi: 10.1136/jech.51.3.252.
10
Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health.西欧发病率和死亡率方面的社会经济不平等。欧盟健康领域社会经济不平等问题工作组。
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教育水平、相对体重及其10年间关联的变化:来自世界卫生组织莫尼卡项目的国际视角

Educational level, relative body weight, and changes in their association over 10 years: an international perspective from the WHO MONICA Project.

作者信息

Molarius A, Seidell J C, Sans S, Tuomilehto J, Kuulasmaa K

机构信息

MONICA Data Centre, Department of Epidemiology and Health Promotion, National Public Health Institute, Helsinki, Finland.

出版信息

Am J Public Health. 2000 Aug;90(8):1260-8. doi: 10.2105/ajph.90.8.1260.

DOI:10.2105/ajph.90.8.1260
PMID:10937007
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1446346/
Abstract

OBJECTIVES

This study assessed the consistency and magnitude of the association between educational level and relative body weight in populations with widely different prevalences of over-weight and investigated possible changes in the association over 10 years.

METHODS

Differences in age-adjusted mean body mass index (BMI) between the highest and the lowest tertiles of years of schooling were calculated for 26 populations in the initial and final surveys of the World Health Organization (WHO) MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) Project. The data are derived from random population samples, including more than 42,000 men and women aged 35 to 64 years in the initial survey (1979-1989) and almost 35,000 in the final survey (1989-1996).

RESULTS

For women, almost all populations showed a statistically significant inverse association between educational level and BMI; the difference between the highest and the lowest educational tertiles ranged from -3.3 to 0.4 kg/m2. For men, the difference ranged from -1.5 to 2.2 kg/m2. In about two thirds of the populations, the differences in BMI between the educational levels increased over the 10-year period.

CONCLUSION

Lower education was associated with higher BMI in about half of the male and in almost all of the female populations, and the differences in relative body weight between educational levels increased over the study period. Thus, socioeconomic inequality in health consequences of obesity may increase in many countries.

摘要

目的

本研究评估了超重患病率差异很大的人群中教育水平与相对体重之间关联的一致性和强度,并调查了10年间这种关联可能发生的变化。

方法

在世界卫生组织(WHO)MONICA(心血管疾病监测趋势和决定因素)项目的初始和最终调查中,计算了26个人群中受教育年限最高和最低三分位数之间年龄调整后的平均体重指数(BMI)差异。数据来自随机人群样本,包括初始调查(1979 - 1989年)中42000多名35至64岁的男性和女性,以及最终调查(1989 - 1996年)中近35000名。

结果

对于女性,几乎所有人群中教育水平与BMI之间均呈现出具有统计学意义的负相关;最高和最低教育三分位数之间的差异范围为-3.3至0.4kg/m²。对于男性,差异范围为-1.5至2.2kg/m²。在约三分之二的人群中,教育水平之间的BMI差异在10年期间有所增加。

结论

在约一半的男性人群和几乎所有女性人群中,较低的教育水平与较高的BMI相关,并且在研究期间教育水平之间的相对体重差异有所增加。因此,肥胖对健康影响方面的社会经济不平等在许多国家可能会加剧。