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Metabolic syndrome and depressive symptoms among rural Northeast general population in China

BACKGROUND: Previous researches aiming to estimate the association between metabolic syndrome and depressive symptoms come out with inconsistent results. Besides, most of them are conducted in the developed areas. There is lack of the data from rural China. The aim of this study is to confirm whethe...

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Autores principales: Yu, Shasha, Yang, Hongmei, Guo, Xiaofan, Zheng, Liqiang, Sun, Yingxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219740/
https://www.ncbi.nlm.nih.gov/pubmed/28061774
http://dx.doi.org/10.1186/s12889-016-3913-0
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author Yu, Shasha
Yang, Hongmei
Guo, Xiaofan
Zheng, Liqiang
Sun, Yingxian
author_facet Yu, Shasha
Yang, Hongmei
Guo, Xiaofan
Zheng, Liqiang
Sun, Yingxian
author_sort Yu, Shasha
collection PubMed
description BACKGROUND: Previous researches aiming to estimate the association between metabolic syndrome and depressive symptoms come out with inconsistent results. Besides, most of them are conducted in the developed areas. There is lack of the data from rural China. The aim of this study is to confirm whether gender difference exists among the relationship between MetS, metabolic components and depressive symptoms in the rural Chinese population. METHODS: A cross-sectional analysis enrolled 11430 subjects’ aged ≥35 from rural Northeast China. Metabolic and anthropometric indicators were measured according to standard methods. Depressive symptoms were defined using the Patient Health Questionnaire-9 (PHQ-9). RESULTS: The prevalence of depressive symptoms was 6% among rural Northeast general population and the prevalence of MetS and its components were 39.0% for MetS, 42.9% for abdominal obesity, 67.1% for elevated blood pressure, 47.1% for hyperglycemia, 32.1% for hypertriglyceridemia, 29.5% for low HDL-C. Depressive symptoms were associated with triglyceride component (OR = 1.24, 95%CI: 1.05–1.46, P = 0.01) but not MetS (OR = 1.11, 95%CI: 0.94–1.30, P = 0.23). Moreover, depressive symptoms were associated with triglyceride component (OR = 1.21, 95% CI = 1.00–1.47, P = 0.05) in women only. But once adjusted for menopause status, depressive symptoms were no longer statically associated with triglyceride component (OR = 1.20, 95% CI = 0.99–1.46, P = 0.07). CONCLUSIONS: Depressive symptoms were associated with triglyceride component but not MetS in rural Chinese population. Routine lipid screening should be recommended among rural depressed residents especially among female.
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spelling pubmed-52197402017-01-10 Metabolic syndrome and depressive symptoms among rural Northeast general population in China Yu, Shasha Yang, Hongmei Guo, Xiaofan Zheng, Liqiang Sun, Yingxian BMC Public Health Research Article BACKGROUND: Previous researches aiming to estimate the association between metabolic syndrome and depressive symptoms come out with inconsistent results. Besides, most of them are conducted in the developed areas. There is lack of the data from rural China. The aim of this study is to confirm whether gender difference exists among the relationship between MetS, metabolic components and depressive symptoms in the rural Chinese population. METHODS: A cross-sectional analysis enrolled 11430 subjects’ aged ≥35 from rural Northeast China. Metabolic and anthropometric indicators were measured according to standard methods. Depressive symptoms were defined using the Patient Health Questionnaire-9 (PHQ-9). RESULTS: The prevalence of depressive symptoms was 6% among rural Northeast general population and the prevalence of MetS and its components were 39.0% for MetS, 42.9% for abdominal obesity, 67.1% for elevated blood pressure, 47.1% for hyperglycemia, 32.1% for hypertriglyceridemia, 29.5% for low HDL-C. Depressive symptoms were associated with triglyceride component (OR = 1.24, 95%CI: 1.05–1.46, P = 0.01) but not MetS (OR = 1.11, 95%CI: 0.94–1.30, P = 0.23). Moreover, depressive symptoms were associated with triglyceride component (OR = 1.21, 95% CI = 1.00–1.47, P = 0.05) in women only. But once adjusted for menopause status, depressive symptoms were no longer statically associated with triglyceride component (OR = 1.20, 95% CI = 0.99–1.46, P = 0.07). CONCLUSIONS: Depressive symptoms were associated with triglyceride component but not MetS in rural Chinese population. Routine lipid screening should be recommended among rural depressed residents especially among female. BioMed Central 2017-01-06 /pmc/articles/PMC5219740/ /pubmed/28061774 http://dx.doi.org/10.1186/s12889-016-3913-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Yu, Shasha
Yang, Hongmei
Guo, Xiaofan
Zheng, Liqiang
Sun, Yingxian
Metabolic syndrome and depressive symptoms among rural Northeast general population in China
title Metabolic syndrome and depressive symptoms among rural Northeast general population in China
title_full Metabolic syndrome and depressive symptoms among rural Northeast general population in China
title_fullStr Metabolic syndrome and depressive symptoms among rural Northeast general population in China
title_full_unstemmed Metabolic syndrome and depressive symptoms among rural Northeast general population in China
title_short Metabolic syndrome and depressive symptoms among rural Northeast general population in China
title_sort metabolic syndrome and depressive symptoms among rural northeast general population in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219740/
https://www.ncbi.nlm.nih.gov/pubmed/28061774
http://dx.doi.org/10.1186/s12889-016-3913-0
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