Physical activity and all-cause mortality across levels of overall and abdominal adiposity in European men and women: the European Prospective Investigation into Cancer and Nutrition Study (EPIC).

Physical activity and all-cause mortality across levels of overall and abdominal adiposity in European men and women: the European Prospective Investigation into Cancer and Nutrition Study (EPIC).
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DOI:
10.3945/ajcn.114.100065
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发表时间:
2015-03
期刊:
The American journal of clinical nutrition
影响因子:
--
通讯作者:
Riboli E
Riboli E
中科院分区:
其他
文献类型:
--
作者:
Ekelund U;Ward HA;Norat T;Luan J;May AM;Weiderpass E;Sharp SJ;Overvad K;Østergaard JN;Tjønneland A;Johnsen NF;Mesrine S;Fournier A;Fagherazzi G;Trichopoulou A;Lagiou P;Trichopoulos D;Li K;Kaaks R;Ferrari P;Licaj I;Jenab M;Bergmann M;Boeing H;Palli D;Sieri S;Panico S;Tumino R;Vineis P;Peeters PH;Monnikhof E;Bueno-de-Mesquita HB;Quirós JR;Agudo A;Sánchez MJ;Huerta JM;Ardanaz E;Arriola L;Hedblad B;Wirfält E;Sund M;Johansson M;Key TJ;Travis RC;Khaw KT;Brage S;Wareham NJ;Riboli E

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背景:过度肥胖导致的较高死亡风险可能会被体力活动(PA)减弱。然而,与整体和腹部肥胖相比,消除身体不活动减少的死亡理论数量仍不清楚。目的:我们研究了总体肥胖和腹部肥胖是否改变了PA与全因死亡率之间的相关性,并估计了这些暴露的人群归因分数(PAF)和寿命延长。设计:这是一项在334,161名欧洲男性和女性中进行的队列研究。平均随访时间为12.4年,相当于4,154,915人年。在门诊测量身高、体重和腰围(WC)。使用经验证的自我报告工具评估PA。采用考克斯比例风险模型对PA、BMI和WC与死亡率的联合相关性进行了研究,按中心和年龄组分层,并对性别、教育、吸烟和饮酒进行了调整。计算与不活动、体重指数(BMI; kg/m2)(>30)和WC(男性≥102 cm,女性≥88 cm)相关的中心特异性PAF,并在随机效应荟萃分析中合并。寿命表分析被用来估计预期寿命的增长。结果:观察到显著的相互作用(PA × BMI和PA × WC),因此在BMI和WC分层内估计HR。在BMI和WC的不同分层中,中度不活动的个体与归类为不活动的个体相比,全因死亡率的风险降低了16-30%。理论上,避免所有不活动将使全因死亡率降低7.35%(95% CI:5.88%,8.83%)。避免肥胖(BMI >30)的相应估计值为3.66%(95%CI:2.30%,5.01%)。避免高WC的估计值与缺乏体力活动的估计值相似。结论:在一般和腹部肥胖水平上,在2个最低活动组之间观察到死亡风险的最大降低,这表明鼓励不活动个体活动量即使是小幅增加的努力可能对公共卫生有益。
Background: The higher risk of death resulting from excess adiposity may be attenuated by physical activity (PA). However, the theoretical number of deaths reduced by eliminating physical inactivity compared with overall and abdominal obesity remains unclear. Objective: We examined whether overall and abdominal adiposity modified the association between PA and all-cause mortality and estimated the population attributable fraction (PAF) and the years of life gained for these exposures. Design: This was a cohort study in 334,161 European men and women. The mean follow-up time was 12.4 y, corresponding to 4,154,915 person-years. Height, weight, and waist circumference (WC) were measured in the clinic. PA was assessed with a validated self-report instrument. The combined associations between PA, BMI, and WC with mortality were examined with Cox proportional hazards models, stratified by center and age group, and adjusted for sex, education, smoking, and alcohol intake. Center-specific PAF associated with inactivity, body mass index (BMI; in kg/m2) (>30), and WC (≥102 cm for men, ≥88 cm for women) were calculated and combined in random-effects meta-analysis. Life-tables analyses were used to estimate gains in life expectancy for the exposures. Results: Significant interactions (PA × BMI and PA × WC) were observed, so HRs were estimated within BMI and WC strata. The hazards of all-cause mortality were reduced by 16–30% in moderately inactive individuals compared with those categorized as inactive in different strata of BMI and WC. Avoiding all inactivity would theoretically reduce all-cause mortality by 7.35% (95% CI: 5.88%, 8.83%). Corresponding estimates for avoiding obesity (BMI >30) were 3.66% (95% CI: 2.30%, 5.01%). The estimates for avoiding high WC were similar to those for physical inactivity. Conclusion: The greatest reductions in mortality risk were observed between the 2 lowest activity groups across levels of general and abdominal adiposity, which suggests that efforts to encourage even small increases in activity in inactive individuals may be beneficial to public health.
DOI: 10.1139/h05-038
发表时间: 2006-06-01
期刊: APPLIED PHYSIOLOGY NUTRITION AND METABOLISM-PHYSIOLOGIE APPLIQUEE NUTRITION ET METABOLISME
影响因子: --
作者:
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影响因子: 158.5
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通讯作者: Manson, JE
DOI: 10.1079/phn2002394
发表时间: 2002-12-01
影响因子: 3.2
作者:
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通讯作者: Saracci, R
DOI: 10.1079/phn2001322
发表时间: 2002-08-01
影响因子: 3.2
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