Suppr超能文献

进行身体活动、通勤方式、心肺健康和久坐行为是否会改变遗传易感性导致更高 BMI?来自英国生物库研究的发现。

Do physical activity, commuting mode, cardiorespiratory fitness and sedentary behaviours modify the genetic predisposition to higher BMI? Findings from a UK Biobank study.

机构信息

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK.

Centro de Investigación en Fisiología del Ejercicio (CIFE), Universidad Mayor, Santiago, Chile.

出版信息

Int J Obes (Lond). 2019 Aug;43(8):1526-1538. doi: 10.1038/s41366-019-0381-5. Epub 2019 Jun 5.

Abstract

OBJECTIVE

To investigate whether the association between a genetic profile risk score for obesity (GPRS-obesity) (based on 93 SNPs) and body mass index (BMI) was modified by physical activity (PA), cardiorespiratory fitness, commuting mode, walking pace and sedentary behaviours.

METHODS

For the analyses we used cross-sectional baseline data from 310,652 participants in the UK Biobank study. We investigated interaction effects of GPRS-obesity with objectively measured and self-reported PA, cardiorespiratory fitness, commuting mode, walking pace, TV viewing, playing computer games, PC-screen time and total sedentary behaviour on BMI. Body mass index (BMI) was the main outcome measure.

RESULTS

GPRS-obesity was associated with BMI (β:0.54 kg.m per standard deviation (SD) increase in GPRS, [95% CI: 0.53; 0.56]; P = 2.1 × 10). There was a significant interaction between GPRS-obesity and objectively measured PA (P = 3.3 × 10): among inactive individuals, BMI was higher by 0.58 kg.m per SD increase in GPRS-obesity (p = 1.3 × 10) whereas among active individuals the relevant BMI difference was less (β:0.33 kg.m, p = 6.4 × 10). We observed similar patterns for fitness (Unfit β:0.72 versus Fit β:0.36 kg.m, P = 1.4 × 10), walking pace (Slow β:0.91 versus Brisk β:0.38 kg.m, P = 8.1 × 10), discretionary sedentary behaviour (High β:0.64 versus Low β:0.48 kg.m, P = 9.1 × 10), TV viewing (High β:0.62 versus Low β:0.47 kg.m, P = 1.7 × 10), PC-screen time (High β:0.82 versus Low β:0.54 kg.m, P = 0.0004) and playing computer games (Often β:0.69 versus Low β:0.52 kg.m, P = 8.9 × 10). No significant interactions were found for commuting mode (car, public transport, active commuters).

CONCLUSIONS

Physical activity, sedentary behaviours and fitness modify the extent to which a set of the most important known adiposity variants affect BMI. This suggests that the adiposity benefits of high PA and low sedentary behaviour may be particularly important in individuals with high genetic risk for obesity.

摘要

目的

探究肥胖遗传风险评分(GPRS-肥胖)(基于 93 个 SNP)与体重指数(BMI)之间的关联是否受到身体活动(PA)、心肺功能适应性、通勤方式、步行速度和久坐行为的影响。

方法

本研究使用了英国生物库研究中 310652 名参与者的横断面基线数据。我们调查了 GPRS-肥胖与客观测量和自我报告的 PA、心肺功能适应性、通勤方式、步行速度、看电视、玩电脑游戏、PC 屏幕时间和总久坐行为之间的交互作用对 BMI 的影响。主要观察指标是体重指数(BMI)。

结果

GPRS-肥胖与 BMI 相关(β:GPRS 每标准偏差(SD)增加 0.54 kg.m [95%CI:0.53;0.56];P=2.1×10)。GPRS-肥胖与客观测量的 PA 之间存在显著的交互作用(P=3.3×10):在不活动的个体中,GPRS-肥胖每增加 0.58 SD,BMI 增加 0.58 kg.m(p=1.3×10),而在活跃的个体中,相关的 BMI 差异较小(β:0.33 kg.m,p=6.4×10)。我们在体能(不适宜的 β:0.72 与适宜的 β:0.36 kg.m,P=1.4×10)、步行速度(慢 β:0.91 与快 β:0.38 kg.m,P=8.1×10)、随意性久坐行为(高 β:0.64 与低 β:0.48 kg.m,P=9.1×10)、看电视(高 β:0.62 与低 β:0.47 kg.m,P=1.7×10)、PC 屏幕时间(高 β:0.82 与低 β:0.54 kg.m,P=0.0004)和玩电脑游戏(经常 β:0.69 与低 β:0.52 kg.m,P=8.9×10)方面观察到了类似的模式。在通勤方式(汽车、公共交通、活跃的通勤者)方面,没有发现显著的交互作用。

结论

PA、久坐行为和体能适应性改变了一组最重要的已知肥胖变异体影响 BMI 的程度。这表明,高 PA 和低久坐行为的肥胖益处可能在遗传肥胖风险较高的个体中尤其重要。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验