A health assessment tool for multiple risk factors for obesity: age and sex differences in the prediction of body mass index
A health assessment tool for multiple risk factors for obesity: age and sex differences in the prediction of body mass index
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DOI：
10.1017/s0007114510000607
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发表时间：
2010-07-28
影响因子：
3.6
通讯作者：
Swanson, Vivien
中科院分区：
文献类型：
--
作者：
Chambers, Julie A.;Swanson, Vivien
目的是确定多种饮食、活动和其他危险因素在确定BMI中的相对重要性。使用先前开发的、经过心理测量测试的73项问卷对322名成年人（71%为女性;年龄18-79岁; BMI 16.5-40.9 kg/m2）进行了横断面调查，该问卷涵盖了广泛的肥胖风险因素（包括5个饮食、5个活动和7个其他风险因素分量表）。结果是自我报告的体重和身高的BMI，并与衣服尺寸和感知的减肥需要等项目进行交叉验证。逐步回归分析预测了25-55%的BMI变异，其中体力活动参与，当前和过去的节食行为，进食量和年龄是最重要的预测因素。较低的BMI和较年轻的年龄之间的关联似乎是由于较高的活动水平，因为年轻的参与者报告的健康饮食行为比老年组少得多。进食量和身体活动参与度是BMI的更强预测因子，而不是其他因素，包括健康饮食和使用机械化运输。结果表明，各种危险因素与肥胖之间的关系可能因性别和年龄组而异，这表明可能需要针对不同的群体采取不同的干预措施。如果要遏制目前肥胖水平上升的趋势，在年轻参与者中观察到的高风险饮食行为令人担忧，需要加以解决。
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/m(2)) 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.