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膳食模式与中国成年人 5 年随访期间体重变化:来自江苏营养研究的结果。

Dietary pattern and weight change in a 5-year follow-up among Chinese adults: results from the Jiangsu Nutrition Study.

机构信息

Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, China.

出版信息

Br J Nutr. 2011 Apr;105(7):1047-54. doi: 10.1017/S0007114510004630. Epub 2010 Nov 25.

Abstract

The aim of the present study was to examine the association between dietary patterns and weight change prospectively. We followed up 1231 adults aged 20 years and older (mean age 49·3 years) from 2002 to 2007. Food intake was assessed at baseline by an FFQ. Factor analysis was used to identify dietary patterns. Nutrient intake was measured by food weighing plus consecutive individual 3 d food records. Body weight and height were measured. The mean 5-year weight gain among all participants was 0·8 (sd 4·7) kg. The mean weight changes across quartiles of the 'traditional' pattern (rice, fresh vegetables, pork and wheat flour) were 2·0, 0·6, 0·6 and 0·0 kg. The corresponding values were 0·4, 0·5, 0·7 and 1·6 kg across quartiles of the 'vegetable-rich' pattern. No significant association between the 'macho' dietary pattern (meat and alcohol), the 'sweet tooth' pattern (drinks and cake) and weight gain was found. In multivariate linear regression, using the first quartile as the reference, participants in the highest quartile of the 'traditional' pattern had a β of - 2·18 (95 % CI - 2·91, - 1·45) for weight gain. However, the β from weight change of the highest quartile of the 'vegetable-rich' pattern was 1·00 (95 % CI 0·25, 1·74). In conclusion, the 'traditional' dietary pattern was negatively and the 'vegetable-rich' pattern was positively associated with weight gain in Chinese adults.

摘要

本研究旨在前瞻性地研究饮食模式与体重变化之间的关系。我们对 2002 年至 2007 年间 1231 名年龄在 20 岁及以上(平均年龄 49.3 岁)的成年人进行了随访。在基线时通过 FFQ 评估食物摄入量。采用因子分析来识别饮食模式。通过称重食物和连续的个体 3 天食物记录来测量营养素摄入。测量体重和身高。所有参与者的平均 5 年体重增加量为 0.8(sd 4.7)kg。“传统”模式(米饭、新鲜蔬菜、猪肉和面粉)四分位数中体重变化均值分别为 2.0、0.6、0.6 和 0.0kg。“富含蔬菜”模式四分位数中相应的值分别为 0.4、0.5、0.7 和 1.6kg。“大男子主义”饮食模式(肉和酒精)、“甜食”模式(饮料和蛋糕)与体重增加之间没有显著关联。在多元线性回归中,以第一四分位数为参照,“传统”模式中四分位最高的参与者体重增加的β为-2.18(95%CI-2.91,-1.45)。然而,“富含蔬菜”模式中四分位最高的参与者体重变化的β为 1.00(95%CI0.25,1.74)。总之,“传统”饮食模式与中国成年人的体重增加呈负相关,“富含蔬菜”饮食模式与体重增加呈正相关。

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