Department of Family Medicine, Boston University School of Medicine, Boston, MA 02118, USA.
J Nutr. 2010 Jul;140(7):1287-93. doi: 10.3945/jn.109.120808. Epub 2010 May 19.
The effect of diet quality on weight change, relative to other body weight determinants, is insufficiently understood. Furthermore, research on long-term weight change in U.S. adults is limited. We evaluated prospectively patterns and predictors of weight change in Framingham Offspring/Spouse (FOS) women and men (n = 1515) aged > or =30 y with BMI > or = 18.5 kg/m2 and without cardiovascular disease, diabetes, and cancer at baseline over a 16-y period. Diet quality was assessed using the validated Framingham Nutritional Risk Score. In women, older age (P < 0.0001) and physical activity (P < 0.05) were associated with lower weight gain. Diet quality interacted with former smoking status (P-interaction = 0.02); former smokers with lower diet quality gained an additional 5.2 kg compared with those with higher diet quality (multivariable-adjusted P-trend = 0.06). Among men, older age (P < 0.0001) and current smoking (P < 0.01) were associated with lower weight gain, and weight fluctuation (P < 0.01) and former smoking status (P < 0.0001) were associated with greater weight gain. Age was the strongest predictor of weight change in both women (partial R(2) = 11%) and men (partial R(2) = 8.6%). Normal- and overweight women gained more than obese women (P < 0.05) and younger adults gained more weight than older adults (P < 0.0001). Patterns and predictors of weight change differ by sex. Age in both sexes and physical activity among women as well as weight fluctuation and smoking status in men were stronger predictors of weight change than diet quality among FOS adults. Women who stopped smoking over follow-up and had poor diet quality gained the most weight. Preventive interventions need to be sex-specific and consider lifestyle factors.
饮食质量对体重变化的影响相对于其他体重决定因素的影响了解不足。此外,美国成年人长期体重变化的研究有限。我们前瞻性地评估了Framingham Offspring/Spouse(FOS)女性和男性(n=1515)的体重变化模式和预测因素,这些参与者年龄>30 岁,BMI>18.5 kg/m2,且基线时无心血管疾病、糖尿病和癌症。饮食质量使用经过验证的 Framingham 营养风险评分进行评估。在女性中,年龄较大(P<0.0001)和体力活动(P<0.05)与体重增加较低有关。饮食质量与以前的吸烟状态存在交互作用(P-交互=0.02);与饮食质量较高者相比,饮食质量较低的前吸烟者体重额外增加了 5.2kg(多变量调整后 P-趋势=0.06)。在男性中,年龄较大(P<0.0001)和当前吸烟(P<0.01)与体重增加较低有关,体重波动(P<0.01)和以前的吸烟状态(P<0.0001)与体重增加较多有关。年龄是女性(部分 R(2)=11%)和男性(部分 R(2)=8.6%)体重变化的最强预测因素。正常体重和超重女性的体重增加量大于肥胖女性(P<0.05),年轻成年人的体重增加量大于年长成年人(P<0.0001)。男女体重变化的模式和预测因素不同。在男女两性中,年龄以及女性的体力活动,以及男性的体重波动和吸烟状态,都是 FOS 成年人体重变化的比饮食质量更强的预测因素。在随访期间戒烟且饮食质量较差的女性体重增加最多。预防干预措施需要具有性别针对性,并考虑生活方式因素。