Bidirectional two-sample Mendelian randomization analysis identifies causal associations between relative carbohydrate intake and depression

被引:0
作者
Shi Yao
Meng Zhang
Shan-Shan Dong
Jia-Hao Wang
Kun Zhang
Jing Guo
Yan Guo
Tie-Lin Yang
机构
[1] Xi’an Jiaotong University,National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, the Second Affiliated Hospital
[2] Xi’an Jiaotong University,Key Laboratory of Biomedical Information Engineering of Ministry of Education, Biomedical Informatics & Genomics Center, School of Life Science and Technology
来源
Nature Human Behaviour | 2022年 / 6卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Growing evidence suggests that relative carbohydrate intake affects depression; however, the association between carbohydrates and depression remains controversial. To test this, we performed a two-sample bidirectional Mendelian randomization (MR) analysis using genetic variants associated with relative carbohydrate intake (N = 268,922) and major depressive disorder (N = 143,265) from the largest available genome-wide association studies. MR evidence suggested a causal relationship between higher relative carbohydrate intake and lower depression risk (odds ratio, 0.42 for depression per one-standard-deviation increment in relative carbohydrate intake; 95% confidence interval, 0.28 to 0.62; P = 1.49 × 10−5). Multivariable MR indicated that the protective effect of relative carbohydrate intake on depression persisted after conditioning on other diet compositions. The mediation analysis via two-step MR showed that this effect was partly mediated by body mass index, with a mediated proportion of 15.4% (95% confidence interval, 6.7% to 24.1%). These findings may inform prevention strategies and interventions directed towards relative carbohydrate intake and depression.
引用
收藏
页码:1569 / 1576
页数:7
相关论文
共 161 条
  • [1] Walker ER(2015)Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis JAMA Psychiatry 72 1259-1259
  • [2] McGee RE(2018)Epidemiology of adult DSM-5 major depressive disorder and its specifiers in the United States JAMA Psychiatry 75 336-346
  • [3] Druss BG(2018)Risk factors for depression: an autobiographical review Annu. Rev. Clin. Psychol. 14 1-28
  • [4] Hasin DS(2020)Mendelian randomisation for nutritional psychiatry Lancet Psychiatry 7 208-216
  • [5] Hammen C(2019)Linking what we eat to our mood: a review of diet, dietary antioxidants, and depression Antioxidants (Basel) 8 376-166
  • [6] Carnegie R(2001)The effect of food intake on mood Clin. Nutr. 20 161-109
  • [7] Huang QY(1996)Comparison of nutrient intake among depressed and nondepressed individuals Int. J. Eat. Disord. 20 105-67
  • [8] Liu H(2019)Sugar rush or sugar crash? A meta-analysis of carbohydrate effects on mood Neurosci. Biobehav. Rev. 101 45-355
  • [9] Suzuki K(2019)Sugar-sweetened beverages consumption and the risk of depression: a meta-analysis of observational studies J. Affect. Disord. 245 348-143
  • [10] Ma SH(2001)A healthy body, a healthy mind: long-term impact of diet on mood and cognitive function Proc. Nutr. Soc. 60 135-1112