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饮食和肥胖遗传风险评分对体重增加的影响。

Impact of dietary and obesity genetic risk scores on weight gain.

机构信息

Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

出版信息

Am J Clin Nutr. 2021 Aug 2;114(2):741-751. doi: 10.1093/ajcn/nqab069.

Abstract

BACKGROUND

Whether genetic background and/or dietary behaviors influence weight gain in middle-aged subjects is debated.

OBJECTIVE

To assess whether genetic background and/or dietary behaviors are associated with changes in obesity markers (BMI, weight, and waist and hip circumferences) in a Swiss population-based cohort.

METHODS

Cross-sectional and prospective (follow-up of 5.3 y) study. Two obesity genetic risk scores (GRS) based on 31 or 68 single nucleotide polymorphisms were used. Dietary intake was assessed using a semiquantitative FFQ. Three dietary patterns "Meat & fries" (unhealthy), "Fruits & vegetables" (healthy), and "Fatty & sugary" (unhealthy), and 3 dietary scores (2 Mediterranean and the Alternative Healthy Eating Index [AHEI]) were computed.

RESULTS

On cross-sectional analysis (N = 3033, 53.2% females, 58.4 ± 10.6 y), obesity markers were positively associated with unhealthy dietary patterns and GRS, and negatively associated with healthy dietary scores and patterns. On prospective analysis (N = 2542, 54.7% females, age at baseline 58.0 ± 10.4 y), the AHEI and the "Fruits & vegetables" pattern were negatively associated with waist circumference gain: multivariate-adjusted average ± SE 0.96 ± 0.25 compared with 0.11 ± 0.26 cm (P for trend 0.044), and 1.14 ± 0.26 compared with -0.05 ± 0.26 cm (P for trend 0.042) for the first and fourth quartiles of the AHEI and the "Fruits & vegetables" pattern, respectively. Similar inverse associations were obtained for changes in waist >5 cm: multivariate-adjusted OR (95% CI): 0.65 (0.50, 0.85) and 0.67 (0.51, 0.89) for the fourth versus the first quartile of the AHEI and the "Fruits & vegetables" dietary pattern, respectively. No associations were found between GRS and changes in obesity markers, and no significant gene-diet interactions were found.

CONCLUSION

Dietary intake, not GRS, are associated with waist circumference in middle-aged subjects living in Lausanne, Switzerland.

摘要

背景

遗传背景和/或饮食行为是否会影响中年人群的体重增加存在争议。

目的

评估遗传背景和/或饮食行为与瑞士人群队列中肥胖标志物(BMI、体重、腰围和臀围)变化的相关性。

方法

横断面和前瞻性(随访 5.3 年)研究。使用基于 31 个或 68 个单核苷酸多态性的两个肥胖遗传风险评分(GRS)。使用半定量 FFQ 评估饮食摄入。计算三种饮食模式“肉和薯条”(不健康)、“水果和蔬菜”(健康)和“脂肪和糖”(不健康)以及三种饮食评分(两个地中海饮食评分和替代健康饮食指数 [AHEI])。

结果

在横断面分析(N=3033,53.2%女性,58.4±10.6 岁)中,肥胖标志物与不健康的饮食模式和 GRS 呈正相关,与健康的饮食评分和模式呈负相关。在前瞻性分析(N=2542,54.7%女性,基线时年龄为 58.0±10.4 岁)中,AHEI 和“水果和蔬菜”模式与腰围增加呈负相关:多变量调整后的平均±SE 0.96±0.25cm 与 0.11±0.26cm(趋势 P=0.044),以及 AHEI 和“水果和蔬菜”模式的第一和第四四分位数分别为 1.14±0.26cm 与-0.05±0.26cm(趋势 P=0.042)。对于腰围增加>5cm,也得到了类似的反向关联:多变量调整后的 OR(95%CI):AHEI 和“水果和蔬菜”饮食模式的第四四分位与第一四分位相比,分别为 0.65(0.50,0.85)和 0.67(0.51,0.89)。GRS 与肥胖标志物的变化之间没有关联,也没有发现基因-饮食相互作用的显著证据。

结论

在瑞士洛桑居住的中年人群中,饮食摄入而不是 GRS 与腰围相关。

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