Herzog Beatrice, Lacruz Maria E, Haerting Johannes, Hartwig Saskia, Tiller Daniel, Medenwald Daniel, Vogt Susanne, Thorand Barbara, Holle Rolf, Bachlechner Ursula, Boeing Heiner, Merz Benedikt, Nöthlings Ute, Schlesinger Sabrina, Schipf Sabine, Ittermann Till, Aumann Nicole, Schienkiewitz Anja, Haftenberger Marjolein, Greiser Karin H, Neamat-Allah Jasmine, Katzke Verena, Kluttig Alexander
Institute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Obesity (Silver Spring). 2016 Mar;24(3):710-8. doi: 10.1002/oby.21366. Epub 2016 Feb 1.
To study the association between socioeconomic status (SES) and annual relative change in anthropometric markers in the general German adult population.
Longitudinal data of 56,556 participants aged 18-83 years from seven population-based German cohort studies (CARLA, SHIP, KORA, DEGS, EPIC-Heidelberg, EPIC-Potsdam, PopGen) were analyzed by meta-analysis using a random-effects model. The indicators of SES were education and household income.
On average, all participants gained weight and increased their waist circumference over the study's follow-up period. Men and women in the low education group had a 0.1 percentage points greater annual increase in weight (95% CI men: 0.06-0.20; and women: 0.06-0.12) and waist circumference (95% CI men: 0.01-0.45; and women: 0.05-0.22) than participants in the high education group. Women with low income had a 0.1 percentage points higher annual increase in weight (95% CI 0.00-0.15) and waist circumference (95% CI 0.00-0.14) than women with high income. No association was found for men between income and obesity markers.
Participants with lower SES (education and for women also income) gained more weight and waist circumference than those with higher SES. These results underline the necessity to evaluate the risk of weight gain based on SES to develop more effective preventive measures.
研究德国成年普通人群社会经济地位(SES)与人体测量指标年度相对变化之间的关联。
对来自德国七项基于人群的队列研究(CARLA、SHIP、KORA、DEGS、海德堡欧洲癌症与营养前瞻性研究、波茨坦欧洲癌症与营养前瞻性研究、PopGen)的56556名年龄在18 - 83岁的参与者的纵向数据,采用随机效应模型进行荟萃分析。SES的指标为教育程度和家庭收入。
在研究的随访期内,所有参与者平均体重增加且腰围增大。低教育组的男性和女性体重年增长率(95%置信区间男性:0.06 - 0.20;女性:0.06 - 0.12)和腰围年增长率(95%置信区间男性:0.01 - 0.45;女性:0.05 - 0.22)比高教育组参与者更高。低收入女性的体重年增长率(95%置信区间0.00 - 0.15)和腰围年增长率(95%置信区间0.00 - 0.14)比高收入女性更高。未发现男性收入与肥胖指标之间存在关联。
SES较低(教育程度低,女性还包括收入低)的参与者比SES较高的参与者体重增加更多、腰围增大更多。这些结果强调了基于SES评估体重增加风险以制定更有效预防措施的必要性。