Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784786712531042304 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9460296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yanjing associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT renqinghan associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT linhongyan associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT liuqian associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT fujingzhu associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT sunchangqing associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT liwen associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT mafei associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT zhuyun associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT lizhenshu associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT zhangguoquan associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT duyue associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT liuhuan associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT zhangxumei associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT chenyongjie associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT wangguangshun associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina AT huangguowei associationbetweendietarypatternsandtheriskofdepressivesymptomsintheolderadultsinruralchina |