Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Aug;30(8):2149-2160.
doi: 10.1007/s11136-021-02807-3. Epub 2021 Mar 6.

Association among multimorbidity, physical disability and depression trajectories: a study of urban-rural differences in China

Affiliations

Association among multimorbidity, physical disability and depression trajectories: a study of urban-rural differences in China

Chaoyang Yan et al. Qual Life Res. 2021 Aug.

Abstract

Purpose: The purpose of this study was to analyse the trajectories of depression in urban and rural areas, and to analyse the relationship among multimorbidity, disability and other variables and trajectories.

Methods: Data from the China Health and Retirement Longitudinal Study were used. A latent class growth model was used to characterise the trajectories of urban and rural depression symptoms. Chi-square test was used to test the differences in respondents' characteristics among depression trajectories groups within urban and rural areas. The relationships among multimorbidity, disability and depression symptom trajectories were analysed via multinomial logistic regression.

Results: Urban and rural depression trajectories were divided into three categories. Respondents in urban areas were divided into rising, remaining-low and declining group, and those in rural areas were divided into rising, remaining-low and remaining-high group. The depression scores of respondents with multimorbidity were more likely to rise, and this result was similar for the disabled respondents. Respondents who need help on activities of daily living and instrumental activities of daily living in urban areas were more likely to decline in depression scores. In rural areas, however, the values were consistently high. In urban and rural areas, the relationships among marital status, education and age and depression trajectories were different.

Conclusions: The depression trajectories are different in urban and rural China. Improving the quality of medical services, promoting the distribution of rural social resources and implementing more recreational activities could be beneficial for the promotion of mental health in rural areas.

Keywords: Depression; Multimorbidity; Physical disability; Trajectory.

PubMed Disclaimer

Conflict of interest statement

All authors declare that there is no conflict of interest.

Figures

Fig. 1
Fig. 1
Flowchart of sample selection
Fig. 2
Fig. 2
The trajectory of depression symptom in urban and rural. a Urban trajectory, b rural trajectory

Similar articles

Cited by

References

    1. GBD 2017 DALYs and HALE Collaborators Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2018;392(10159):1859–1922. doi: 10.1016/s0140-6736(18)32335-3. - DOI - PMC - PubMed
    1. Depression (2019). Retrieved September 20, 2020 from https://www.who.int/news-room/fact-sheets/detail/depression
    1. Gu L, Xie J, Long J, Chen Q, Chen Q, Pan R, Yan Y, Wu G, Liang B, Tan J, Xie X, Wei B, Su L. Epidemiology of major depressive disorder in mainland china: A systematic review. PloS One. 2013;8(6):e65356. doi: 10.1371/journal.pone.0065356. - DOI - PMC - PubMed
    1. Li D, Zhang DJ, Shao JJ, Qi XD, Tian L. A meta-analysis of the prevalence of depressive symptoms in Chinese older adults. Archives of Gerontology and Geriatrics. 2014;58(1):1–9. doi: 10.1016/j.archger.2013.07.016. - DOI - PubMed
    1. Xue Z, Wang Y, Wang L, Shen L, Zhang A, Pan P, Wang H, Dou J, Guo X, Lv Y, Jin L, Yao Y. Analysis of influencing factors of poststroke depression: Is higher Body Mass Index always a risk factor of poststroke depression? The Journal of Nervous and Mental Disease. 2019;207(3):203–208. doi: 10.1097/NMD.0000000000000949. - DOI - PubMed

LinkOut - more resources