Centre de Recherche en Épidémiologie et Statistiques, Équipe de Recherche en Épidémiologie Nutritionnelle, Université Paris 13, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France.
Centre de Recherche en Épidémiologie, École de Santé Publique, Biostatistiques et Recherche Clinique, Université Libre de Bruxelles, B-1070 Bruxelles, Belgium.
Nutrients. 2017 Oct 28;9(11):1179. doi: 10.3390/nu9111179.
Individual characteristics, dietary intake and physical activity influence weight status; however, the contribution of each factor to weight change has not been studied. The objective was to confirm a conceptual framework by simultaneously assessing the relative influence of socioeconomic, psychological and sensory characteristics, physical activity, and dietary intake on five-year weight gain in French adults. Individual characteristics, physical activity, and dietary data were assessed at baseline in 8014 participants in the NutriNet-Santé cohort. Self-reported anthropometric data were collected at baseline and five years later. Structural equation models, stratified by baseline body mass index (BMI), were used to perform analyses. Dietary restraint was a direct predictor of weight gain, with a stronger effect than age or intake of energy-dense foods, both in non-overweight and overweight participants. In non-overweight individuals only, intake of nutrient-dense foods and physical activity were inversely associated with weight gain. Regarding dietary intake, fat liking was the most important predictor of nutrient-dense food intake and was also related to energy-dense food intake. In these models, dietary restraint appears to be a direct predictor of weight gain and fat liking is a strong determinant of dietary intake. The influence of dietary restraint on weight gain, not explained by diet, warrants further investigation.
个体特征、饮食摄入和身体活动都会影响体重状况;然而,每个因素对体重变化的贡献尚未得到研究。本研究的目的是通过同时评估社会经济、心理和感官特征、身体活动以及饮食摄入对法国成年人五年体重增加的相对影响,来验证一个概念框架。在 NutriNet-Santé 队列的 8014 名参与者中,在基线时评估了个体特征、身体活动和饮食数据。在基线和五年后收集了自我报告的人体测量数据。使用结构方程模型,按基线体重指数(BMI)进行分层,进行分析。饮食克制是体重增加的直接预测因素,其影响强于年龄或能量密集型食物的摄入,无论是在非超重者还是超重者中。仅在非超重个体中,营养密集型食物的摄入和身体活动与体重增加呈负相关。关于饮食摄入,对脂肪的喜爱是营养密集型食物摄入的最重要预测因素,也与能量密集型食物摄入有关。在这些模型中,饮食克制似乎是体重增加的直接预测因素,而对脂肪的喜爱是饮食摄入的一个重要决定因素。饮食克制对体重增加的影响,不能用饮食来解释,值得进一步研究。