Association between dietary protein intake and depression in American adults with metabolic syndrome

Author:

Gu Xue1,Shen Xia1,Liu Yuan-Yuan1,Chu Jiang-Hui2,Jiang Lei3

Affiliation:

1. Jiangnan University

2. Affiliated Hospital of Jiangnan University

3. huadong sanatorium

Abstract

Abstract Background There is currently intense interest in the effects of macronutrients on mental disorders. The purpose of the study was to analyze the relationship between depression and protein intake in people with metabolic syndrome. Methods The study analyzed data on 7922 individuals with metabolic syndrome that were derived from the National Health and Nutrition Examination Survey (NHANES)1999–2018. To test whether the investigated variables differed significantly, variance and the chi-squared test were used to analyze dietary protein intake among groups. Variables with significant differences were selected for multiple logistic regression analysis to further explore the associations between PHQ-9 defined depressive symptoms and protein. Smoothed curve fitting was employed to determine whether if there was a nonlinear correlation between the two. Results As protein eaten increased, the number of participants suffering from depression decreased. After adjusting for confounding variables (eGFR, cancer, thyroid disease, total energy, carbohydrate, fiber, calcium, caffeine intake, magnesium, and general information), multivariate logistic regression analysis indicated that dietary protein may serve as a protective factor for depression. Moreover, a negative nonlinear association between depression and dietary protein was found. Conclusion These findings indicate that for individuals with metabolic syndrome dietary protein is relevant to depression.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3