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Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China

Geriatric depression, a chronic condition, has become a substantial burden in rural China. This study aimed to assess the association between dietary patterns and the risk of geriatric depression in rural China. Between March 2018 and June 2019, 3304 participants were recruited for this cross-sectio...

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Autores principales: Yan, Jing, Ren, Qinghan, Lin, Hongyan, Liu, Qian, Fu, Jingzhu, Sun, Changqing, Li, Wen, Ma, Fei, Zhu, Yun, Li, Zhenshu, Zhang, Guoquan, Du, Yue, Liu, Huan, Zhang, Xumei, Chen, Yongjie, Wang, Guangshun, Huang, Guowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460296/
https://www.ncbi.nlm.nih.gov/pubmed/36079798
http://dx.doi.org/10.3390/nu14173538
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author Yan, Jing
Ren, Qinghan
Lin, Hongyan
Liu, Qian
Fu, Jingzhu
Sun, Changqing
Li, Wen
Ma, Fei
Zhu, Yun
Li, Zhenshu
Zhang, Guoquan
Du, Yue
Liu, Huan
Zhang, Xumei
Chen, Yongjie
Wang, Guangshun
Huang, Guowei
author_facet Yan, Jing
Ren, Qinghan
Lin, Hongyan
Liu, Qian
Fu, Jingzhu
Sun, Changqing
Li, Wen
Ma, Fei
Zhu, Yun
Li, Zhenshu
Zhang, Guoquan
Du, Yue
Liu, Huan
Zhang, Xumei
Chen, Yongjie
Wang, Guangshun
Huang, Guowei
author_sort Yan, Jing
collection PubMed
description Geriatric depression, a chronic condition, has become a substantial burden in rural China. This study aimed to assess the association between dietary patterns and the risk of geriatric depression in rural China. Between March 2018 and June 2019, 3304 participants were recruited for this cross-sectional study in rural Tianjin, China. Principal component analysis was used to determine the major dietary patterns. The associations between dietary patterns and the risk of geriatric depression were assessed using a logistic regression model. Four dietary patterns were identified: vegetables-fruit, animal food, processed food, and milk-egg. The study found that vegetable-fruit (Q2 vs. Q1: OR = 0.62, 95% CI: 0.46–0.83; Q3 vs. Q1: OR = 0.54, 95% CI: 0.38–0.75; Q4 vs. Q1: OR = 0.39, 95% CI: 0.26–0.57) and animal food patterns (Q3 vs. Q1: OR = 0.69, 95% CI: 0.50–0.95; Q4 vs. Q1: OR = 0.58, 95% CI: 0.41–0.82) were associated with a decreased risk of depression, and inflammatory dietary pattern (Q2 vs. Q1: OR = 1.71, 95% CI: 1.23–2.38; Q3 vs. Q1: OR = 1.70, 95% CI: 1.22–2.36; Q4 vs. Q1: OR = 1.44, 95% CI: 1.03–2.03) was associated with an increased risk of depression. The present findings reinforce the importance of adopting an adequate diet consisting of vegetables, fruit and animal foods, while limiting the intake of pro-inflammatory foods, to decrease the risk of depression.
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spelling pubmed-94602962022-09-10 Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China Yan, Jing Ren, Qinghan Lin, Hongyan Liu, Qian Fu, Jingzhu Sun, Changqing Li, Wen Ma, Fei Zhu, Yun Li, Zhenshu Zhang, Guoquan Du, Yue Liu, Huan Zhang, Xumei Chen, Yongjie Wang, Guangshun Huang, Guowei Nutrients Article Geriatric depression, a chronic condition, has become a substantial burden in rural China. This study aimed to assess the association between dietary patterns and the risk of geriatric depression in rural China. Between March 2018 and June 2019, 3304 participants were recruited for this cross-sectional study in rural Tianjin, China. Principal component analysis was used to determine the major dietary patterns. The associations between dietary patterns and the risk of geriatric depression were assessed using a logistic regression model. Four dietary patterns were identified: vegetables-fruit, animal food, processed food, and milk-egg. The study found that vegetable-fruit (Q2 vs. Q1: OR = 0.62, 95% CI: 0.46–0.83; Q3 vs. Q1: OR = 0.54, 95% CI: 0.38–0.75; Q4 vs. Q1: OR = 0.39, 95% CI: 0.26–0.57) and animal food patterns (Q3 vs. Q1: OR = 0.69, 95% CI: 0.50–0.95; Q4 vs. Q1: OR = 0.58, 95% CI: 0.41–0.82) were associated with a decreased risk of depression, and inflammatory dietary pattern (Q2 vs. Q1: OR = 1.71, 95% CI: 1.23–2.38; Q3 vs. Q1: OR = 1.70, 95% CI: 1.22–2.36; Q4 vs. Q1: OR = 1.44, 95% CI: 1.03–2.03) was associated with an increased risk of depression. The present findings reinforce the importance of adopting an adequate diet consisting of vegetables, fruit and animal foods, while limiting the intake of pro-inflammatory foods, to decrease the risk of depression. MDPI 2022-08-27 /pmc/articles/PMC9460296/ /pubmed/36079798 http://dx.doi.org/10.3390/nu14173538 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yan, Jing
Ren, Qinghan
Lin, Hongyan
Liu, Qian
Fu, Jingzhu
Sun, Changqing
Li, Wen
Ma, Fei
Zhu, Yun
Li, Zhenshu
Zhang, Guoquan
Du, Yue
Liu, Huan
Zhang, Xumei
Chen, Yongjie
Wang, Guangshun
Huang, Guowei
Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China
title Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China
title_full Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China
title_fullStr Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China
title_full_unstemmed Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China
title_short Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China
title_sort association between dietary patterns and the risk of depressive symptoms in the older adults in rural china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460296/
https://www.ncbi.nlm.nih.gov/pubmed/36079798
http://dx.doi.org/10.3390/nu14173538
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