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用于肥胖多种危险因素的健康评估工具:年龄和性别对体重指数预测的差异。

A health assessment tool for multiple risk factors for obesity: age and sex differences in the prediction of body mass index.

机构信息

Department of Psychology, University of Stirling, Stirling FK4 9LA, UK.

出版信息

Br J Nutr. 2010 Jul;104(2):298-307. doi: 10.1017/S0007114510000607. Epub 2010 Mar 9.

Abstract

The aim was to establish the relative importance of multiple dietary, activity and other risk factors in determining BMI. A cross-sectional survey was conducted with 322 adults (71 % female; aged 18-79 years; BMI 16.5-40.9 kg/m2) using a previously developed, psychometrically tested, seventy-three-item questionnaire covering a wide range of obesity risk factors (consisting of five dietary, five activity and seven other risk factor subscales). Outcome was self-reported weight and height for BMI, cross-validated with items on clothes size and perceived need to lose weight. Stepwise regression analysis predicted 25-55 % of the variance in BMI with physical activity participation, current and past dieting behaviour, amount eaten, and age being the most important predictors. The association of lower BMI and younger age appeared to be due to higher activity levels, as younger participants reported much less healthy eating behaviour than the older age group. Amount eaten and physical activity participation were stronger predictors of BMI than other factors including healthy eating and use of mechanised transport. Results showed that the relationship between various risk factors and obesity may differ by both sex and age group, suggesting that different interventions may need to be targeted at different groups. The higher-risk eating behaviour observed in younger participants is of concern and needs to be addressed, if the current trend of rising obesity levels is to be halted.

摘要

目的是确定多种饮食、活动和其他风险因素在决定 BMI 方面的相对重要性。采用先前开发的、经过心理测量测试的、包含广泛肥胖风险因素的 73 项问卷对 322 名成年人(71%为女性;年龄 18-79 岁;BMI 为 16.5-40.9kg/m2)进行了横断面调查(问卷由五个饮食、五个活动和七个其他风险因素子量表组成)。结果是自我报告的体重和身高用于 BMI,并用衣服尺寸和自我感知的减肥需求进行交叉验证。逐步回归分析预测 BMI 的变异性为 25-55%,其中身体活动参与度、当前和过去的节食行为、食量以及年龄是最重要的预测因素。较低 BMI 和较年轻的年龄与更高的活动水平有关,因为年轻参与者报告的健康饮食习惯明显不如年龄较大的组。与其他因素(包括健康饮食和使用机械化交通工具)相比,食量和身体活动参与度是 BMI 的更强预测因素。研究结果表明,各种风险因素与肥胖之间的关系可能因性别和年龄组而异,这表明需要针对不同群体采取不同的干预措施。年轻参与者中观察到的高风险饮食习惯令人担忧,需要加以解决,如果要阻止当前肥胖水平上升的趋势。

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