Body Shapes of Multiple Anthropometric Traits and All-cause and Cause-specific Mortality in the UK Biobank.

IF 4.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Epidemiology Pub Date : 2025-03-01 Epub Date: 2024-11-13 DOI:10.1097/EDE.0000000000001810
Patricia Bohmann, Michael J Stein, Andrea Weber, Julian Konzok, Emma Fontvieille, Laia Peruchet-Noray, Quan Gan, Béatrice Fervers, Vivian Viallon, Hansjörg Baurecht, Michael F Leitzmann, Heinz Freisling, Anja M Sedlmeier
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Abstract

Background: Individual traditional anthropometric measures such as body mass index and waist circumference may not fully capture the relation of adiposity to mortality. Investigating multitrait body shapes could overcome this limitation, deepening insights into adiposity and mortality.

Methods: Using UK Biobank data from 462,301 adults (40-69 years at baseline: 2006-2010), we derived four body shapes from principal component analysis on body mass index, height, weight, waist and hip circumference, and waist-to-hip ratio. We then used multivariable-adjusted Cox proportional hazard models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between body shapes and mortality for principal component scores of +1 and -1.

Results: During 6,114,399 person-years of follow-up, 28,807 deaths occurred. A generally obese body shape exhibited a U-shaped mortality association. A tall and centrally obese body shape showed increased mortality risk in a dose-response manner (comparing a score of +1 and 0: HR = 1.16, 95% CI = 1.14, 1.18). Conversely, tall and lean or athletic body shapes displayed no increased mortality risks when comparing a score of +1 and 0, with positive relations for the comparison between a score of -1 and 0 in these shapes (short and stout shape: HR = 1.12, 95% CI = 1.10, 1.14; nonathletic shape: HR = 1.15, 95% CI = 1.13, 1.17).

Conclusion: Four distinct body shapes, reflecting heterogeneous expressions of obesity, were differentially associated with all-cause and cause-specific mortality. Multitrait body shapes may refine our insights into the associations between different adiposity subtypes and mortality.

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英国生物库中多种人体测量特征的体型以及全因和特定原因的死亡率。
背景:个体的传统人体测量指标,如体重指数和腰围,可能不能完全反映肥胖与死亡率的关系。研究多特征体型可以克服这一限制,加深对肥胖和死亡率的了解。方法:利用英国生物银行(UK Biobank) 462301名成年人(基线年龄为40-69岁:2006-2010)的数据,通过主成分分析得出身体质量指数、身高、体重、腰臀围和腰臀比的四种体型。然后,我们使用多变量调整的Cox比例风险模型来估计主成分得分为+1和-1时体型与死亡率之间关联的风险比(hr)和95%置信区间(CIs)。结果:在6,114,399人年的随访期间,发生28,807例死亡。普遍肥胖的体型与死亡率呈u型关系。身高和中心肥胖的体型以剂量-反应方式显示死亡风险增加(比较+1和0分:HR = 1.16, 95% CI = 1.14, 1.18)。相反,当得分为+1和0时,高瘦或运动体型的人的死亡风险没有增加,当得分为-1和0时,这些体型的人的死亡风险呈正相关(HR = 1.12, 95% CI = 1.10, 1.14;非运动型:HR = 1.15, 95% CI = 1.13, 1.17)。结论:四种不同的体型,反映了肥胖的异质性表达,与全因死亡率和病因特异性死亡率存在差异。多特征体型可能会使我们对不同肥胖亚型和死亡率之间的关系有更深入的了解。
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来源期刊
Epidemiology
Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.70
自引率
3.70%
发文量
177
审稿时长
6-12 weeks
期刊介绍: Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.
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