Consumption of sugary beverages, genetic predisposition and the risk of depression: a prospective cohort study

Author:

Chen Yanchun,Yang Hongxi,Sheng Baihe,Zhou Lihui,Li Dun,Zhang Mengnan,Wang YaogangORCID

Abstract

BackgroundThe associations between sugary beverages and genetic predisposition to depression risk remain unclear.AimsThis study aimed to investigate the associations of sugar-sweetened beverages (SSBs), artificially sweetened beverages (ASBs) and natural juices (NJs) with depression and to assess whether these associations were modified by genetic predisposition.MethodsWe used data from the UK Biobank of 180 599 individuals aged 39–72 years who were depression-free at baseline. Dietary intake of SSBs, ASBs and NJs was accessed by a 24-hour dietary recall between 2009 and 2012. The Polygenic Risk Score for depression was estimated and categorised as low (lowest tertile), intermediate (tertile 2) and high (highest tertile). Cox proportional hazard and substitution models were conducted to evaluate hazard ratios (HRs) and 95% CIs.ResultsOver the 12-year follow-up, 4915 individuals developed depression. Higher consumption (>2 units/day) of SSBs (HR: 1.26, 95% CI 1.12 to 1.43) and ASBs (HR: 1.40, 95% CI 1.23 to 1.60) were both associated with an increased risk of depression. However, moderate consumption (>0–1 units/day) of NJs was associated with a lower risk of depression (HR: 0.89, 95% CI 0.83 to 0.95). Furthermore, genetic predisposition did not modify these associations (p interaction>0.05). In substitution models, the HRs for depression risk were 0.94 (95% CI 0.89 to 0.99) and 0.89 (95% CI 0.85 to 0.94), respectively, when 1 unit/day of SSBs or ASBs was replaced by an equivalent intake of NJs.ConclusionsHigher consumption of SSBs and ASBs was associated with an increased risk of depression; in contrast, moderate consumption of NJs was inversely associated with a lower risk of depression. In theory, substituting SSBs and ASBs with NJs would suppose a reduction of depression risk.

Funder

National Natural Science Foundation of China

Publisher

BMJ

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