The Effects of Social Support and Health Literacy on Depression among Rural Patients with Hypertension

LIU Yan, HE Jing, SUN Xia-xia, GE Jing-jing, LIU Dan-ping

Abstract

To explore the effects of social support and health literacy on depression among hypertensive patients in rural areas and to provide reference for improving depression in hypertensive patients.  Methods  A multi-stage stratified sampling method was used to select 549 hypertensive patients in a rural area of Chengdu city for a questionnaire survey. Structural equation model was used to analyze the effects of social support and health literacy on depression in hypertensive patients.  Results  Social support (β=−0.116, 95%CI: (−0.198)-(−0.132)) and health literacy (β=−0.209, 95%CI: (−0.289)-(−0.132)) had a direct negative effect on depression, and social support had a direct positive effect on health literacy (β=0.146, 95%CI: 0.064-0.229). Health literacy was a mediator between social support and depression (β=−0.030, 95%CI: (−0.054)-(−0.013)). The gender, employment status and per capita annual income of the patients affected the incidence of depression (P<0.05).  Conclusions  Social support and health literacy are important predictors of depression among hypertensive patients. We should construct a good social support network, strengthen the publicity of health knowledge, and improve social support and health literacy to alleviate the depression in hypertensive patients. At the same time, more attention should be paid to women, people with low per capita annual income and working hypertensive patients.

 

Keywords: Hypertension, Social support, Health literacy, Depression, Structural equation model

 

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References


MIRAGLIA J L， CINTRANUNESMAFRA A C， NASCIMENTOMONTEIR C， et al. The variation of the burden of hypertension and diabetes in two large districts of the city of Sao Paulo， Brazil， based on primary health care routinely-collected data. PLoS One， 2019， 14(3): e0213998[2019-11-02]. https://doi.org/10.1371/journal.pone.0213998.

WANG J W， ZHANG L X， WANG F， et al. Prevalence, awareness, treatment, and control of hypertension in China: results from a national survey. Am J Hypertens，2014，27(11): 1355–1361.

DENNIS J P， MARKEY M A， JOHNSTON K A， et al. The role of stress and social support in predicting depression among a hypertensive African American sample. Heart Lung，2008，37(2): 105–112.

GAZMARARIAN J， BAKER D， PARKER R， et al. A multivariate analysis of factors associated with depression: evaluating the role of health literacy as a potential contributor. Arch Intern Med，2000，160(21): 3307–3314.

STEWART D W， REITZEL LR， C0RREA-FERNANDEZ V， et al. Social support mediates the association of health literacy and depression among racially/ethnically diverse smokers with low socioeconomic status. J Behav Med，2014，37(6): 1169–1179.

ANDRESEN E M， MALMGREN J A， CARTER W B， et al. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med， 1994，10(2): 77–84.

WU Y， DONG W Y， XU Y J， et al. Financial transfers from adult children and depressive symptoms among mid-aged and elderly residents in China - evidence from the China health and retirement longitudinal study. BMC Public Health，2018，18(1): 882[2019-11-15].https://doi.org/10.1186/s12889-018-5794-x.

MOKHELE I， NATTEY C， JINGA N， et al. Prevalence and predictors of postpartum depression by HIV status and timing of HIV diagnosis in Gauteng, South Africa. PLoS One，2019，14(4): e0214849[2019-11-02]. https://doi.org/10.1371/journal.pone.0214849.

MA C H. The prevalence of depressive symptoms and associated factors in countryside-dwelling older Chinese patients with hypertension. J Clin Nurs，2018，27(15-16): 2933–2941.

BROE G A， JORM A F， CREASEY H， et al. Impact of chronic systemic and neurological disorders on disability, depression and life satisfaction. Int J Geriatr Psychiatry，1999，14(6): 497–499.

DAI Y， ZHANG C Y， ZHANG B Q， et al. Social support and the self-rated health of older people: a comparative study in Tainan Taiwan and Fuzhou Fujian province. Medicine (Baltimore)，2016，95(24): e3881[2019-11-02]. https://doi.org/10.1097/MD.0000000000003881.


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