Association of sugary drinks, carbonated beverages, vegetable and fruit juices, sweetened and black coffee, and green tea with subsequent depression: a five-year cohort study

医学 红茶 食品科学 队列 萧条(经济学) 队列研究 化学 病理 内科学 经济 宏观经济学
作者
Zui Narita,Shinsuke Hidese,Rieko Kanehara,Hisateru Tachimori,Hiroaki Hori,Yoshiharu Kim,Hiroshi Kunugi,Kei Arima,Satoshi Mizukami,Kozo Tanno,Nobuyuki Takanashi,Kazumasa Yamagishi,Isao Muraki,Nobufumi Yasuda,Isao Saito,Koutatsu Maruyama,Taiki Yamaji,Motoki Iwasaki,Manami Inoue,Shoichiro Tsugane,Norie Sawada
出处
期刊:Clinical Nutrition [Elsevier]
标识
DOI:10.1016/j.clnu.2024.04.017
摘要

Abstract

Background & aims

Evidence on the impact of beverage consumption on depression is limited in the Asian population. Specifically, there is little information available on vegetable and fruit juices, while whole vegetables and fruits are reportedly protective against depression. Furthermore, evidence is scarce in differentiating the impacts of sweetened and black coffee. We aimed to examine the association of the consumption of total sugary drinks, carbonated beverages, vegetable and fruit juices, sweetened and black coffee, and green tea with subsequent depression in a general population sample.

Methods

We studied individuals without a history of cancer, myocardial infarction, stroke, diabetes, or depression at baseline in 2011–2016, with a five-year follow-up. We evaluated the association of total sugary drinks, carbonated beverages, vegetable juice, 100% fruit juice, sweetened coffee, black coffee, and green tea with subsequent depression. We used Poisson regression models and the g-formula, thereby calculating the risk difference (RD). Multiple sensitivity analyses were conducted. Missing data were handled using random forest imputation. We also examined effect heterogeneity based on sex, age, and body mass index by analyzing the relative excess risk due to interaction and the ratio of risk ratios.

Results

In total, 94,873 individuals were evaluated, and 80,497 completed the five-year follow-up survey for depression. Of these, 18,172 showed depression. When comparing the high consumption group with the no consumption group, the fully adjusted RD (95% CI) was 3.6% (2.8% to 4.3%) for total sugary drinks, 3.5% (2.1% to 4.7%) for carbonated beverages, 2.3% (1.3% to 3.4%) for vegetable juice, 2.4% (1.1% to 3.6%) for 100% fruit juice, and 2.6% (1.9% to 3.5%) for sweetened coffee. In contrast, the fully adjusted RD (95% CI) was -1.7% (-2.6% to -0.7%) for black coffee. The fully adjusted RD for green tea did not reach statistical significance. The results were robust in multiple sensitivity analyses. We did not find substantial effect heterogeneity based on sex, age, and body mass index.

Conclusions

Total sugary drinks, carbonated beverages, vegetable and fruit juices, and sweetened coffee may increase the risk of depression, whereas black coffee may decrease it.
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