Literature DB >> 31928934

Associations Between Somatic Multimorbidity Patterns and Depression in a Longitudinal Cohort of Middle-Aged and Older Chinese.

Shan-Shan Yao1, Gui-Ying Cao1, Ling Han2, Zi-Ting Huang1, Zi-Shuo Chen1, He-Xuan Su1, Yonghua Hu1, Beibei Xu3.   

Abstract

OBJECTIVES: Depressive symptoms are commonly seen among patients with multiple chronic somatic conditions, or somatic multimorbidity (SMM); however, little is known about the relationships between depressive symptoms and different SMM combinations. Our study aimed to delineate the patterns of SMM and their longitudinal associations with depressive symptoms among a nationally representative sample of middle-aged and older Chinese adults.
DESIGN: We employed a longitudinal design. SETTING AND PARTICIPANTS: Older adults (N = 10,084) aged ≥45 years from the China Health and Retirement Longitudinal Study 2011-2015 participated (mean age = 57.7 years at baseline; 53.3% men).
METHODS: Sixteen chronic somatic conditions were ascertained at baseline via questionnaires. Depression was assessed with the Center for Epidemiological Studies Depression Scale at baseline and during follow-up. Patterns of SMM were identified via exploratory factor analyses. Generalized estimating equations were used to evaluate the longitudinal associations between patterns of SMM and the presence of depressive symptoms at follow-up.
RESULTS: Compared with participants with no somatic condition, those with 1, 2, and 3 or more somatic conditions had a 21%, 66%, and 111% greater risk, respectively, for the presence of depressive symptoms. Increased factor scores for 4 patterns identified, cardio-metabolic pattern [adjusted odds ratio (AOR) 1.12, 95% confidence interval (CI) 1.06, 1.20], respiratory pattern (AOR 1.25, 95% CI 1.17, 1.33), arthritic-digestive-visual pattern (AOR 1.29, 95% CI 1.22, 1.37), and hepatic-renal-skeletal pattern (AOR 1.09, 95% CI 1.02, 1.16), were all associated with a higher risk of having depressive symptoms. CONCLUSIONS AND IMPLICATIONS: All SMM patterns were independently associated with depression among middle-aged and older Chinese adults, with greater odds for people with comorbid arthritic-digestive-visual conditions and respiratory conditions. Clinical practitioners should treat the middle-aged and older population under a multiple-condition framework combining SMM and mental disorders.
Copyright © 2019 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Somatic multimorbidity; depression; geriatric population

Mesh:

Year:  2020        PMID: 31928934     DOI: 10.1016/j.jamda.2019.11.028

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  7 in total

1.  Exploring the relationship between depression and different multimorbidity patterns among older people covered by long-term care insurance in Shanghai, China.

Authors:  Cancan Li; Wenjia Peng; Mengying Li; Xinghui Li; Tingting Yang; Huosheng Yan; Zijing Wang; Xianjie Jia; Zhi Hu; Ying Wang
Journal:  Psychogeriatrics       Date:  2021-11-07       Impact factor: 2.295

2.  Associations between Multimorbidity and Physical Performance in Older Chinese Adults.

Authors:  Shan-Shan Yao; Xiangfei Meng; Gui-Ying Cao; Zi-Ting Huang; Zi-Shuo Chen; Ling Han; Kaipeng Wang; He-Xuan Su; Yan Luo; Yonghua Hu; Beibei Xu
Journal:  Int J Environ Res Public Health       Date:  2020-06-24       Impact factor: 3.390

3.  Impact of Multimorbidity on Symptoms of Depression, Anxiety, and Stress in Older Adults: Is There a Sex Difference?

Authors:  Huang Lin; Shujuan Xiao; Lei Shi; Xiao Zheng; Yaqing Xue; Qilong Yun; Ping Ouyang; Dong Wang; Hong Zhu; Chichen Zhang
Journal:  Front Psychol       Date:  2021-12-21

4.  Associations between physical multimorbidity patterns and common mental health disorders in middle-aged adults: A prospective analysis using data from the UK Biobank.

Authors:  Amy Ronaldson; Jorge Arias de la Torre; Matthew Prina; David Armstrong; Jayati Das-Munshi; Stephani Hatch; Rob Stewart; Matthew Hotopf; Alexandru Dregan
Journal:  Lancet Reg Health Eur       Date:  2021-06-22

5.  Association between single and multiple cardiometabolic diseases and depression: A cross-sectional study of 391,083 participants from the UK biobank.

Authors:  Li Gong; Tianqi Ma; Lingfang He; Guoqiang Lin; Guogang Zhang; Xunjie Cheng; Fanyan Luo; Yongping Bai
Journal:  Front Public Health       Date:  2022-08-04

6.  Association between multimorbidity trajectories and incident disability among mid to older age adults: China Health and Retirement Longitudinal Study.

Authors:  Zaixing Shi; Zeyun Zhang; Kanglin Shi; Bohan Yu; Zhongquan Jiang; Li Yang; Jianlin Lin; Ya Fang
Journal:  BMC Geriatr       Date:  2022-09-12       Impact factor: 4.070

7.  Urban-rural disparity in prevalence of multimorbidity in China: a cross-sectional nationally representative study.

Authors:  Xiaochen Ma; Yu He; Jin Xu
Journal:  BMJ Open       Date:  2020-11-16       Impact factor: 2.692

  7 in total

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