Association between social health status and health-related quality of life among community-dwelling elderly in Zhejiang.


Journal

Health and quality of life outcomes
ISSN: 1477-7525
Titre abrégé: Health Qual Life Outcomes
Pays: England
ID NLM: 101153626

Informations de publication

Date de publication:
28 Apr 2020
Historique:
received: 22 05 2019
accepted: 08 04 2020
entrez: 30 4 2020
pubmed: 30 4 2020
medline: 19 5 2020
Statut: epublish

Résumé

Population aging is an inevitable trend and previous studies have showed the relationship between social health related factors and health-related quality of life (HR-QOL) in the elderly. The objective of this study is to investigate the association of social health status with HR-QOL among community-dwelling elderly in Zhejiang. This cross-sectional study was based on community-dwelling elderly individuals from July 2018 to September 2018 in Zhejiang, China. HR-QOL was measured by the 12-item Short-Form Health Survey (SF-12). Social health status was estimated by the long-form of the Social Health Scale for the Elderly (SHSE-L) and classified into three categories (poor, moderate and good). Multivariable linear regression models were conducted to evaluate the association between social health status and HR-QOL (PCS, MCS and SF-12 total score). A total of 2952 elderly participants were included in this study. The mean age was 70.68 ± 7.75 years (mean ± SD); of the eligible participants, more than half (50.4%) were females; the mean scores were 48.10 ± 8.49, 47.70 ± 7.09 and 47.90 ± 5.86 for PCS, MCS and SF-12 total score, separately. Results from the multivariable models showed that social health status was positively related to HR-QOL after adjusting for covariates. Compared with individuals with a poor social health status, those who had a moderate or good social health status were more likely to report better HR-QOL (for moderate social health status: β = 1.90(95%CI: 1.09, 2.71) for PCS, β = 1.78(1.08, 2.48) for MCS, β = 1.84(1.29, 2.39) for SF-12 total score; for good social health status: β = 3.29(2.24, 4.34) for PCS, β = 3.10(2.12, 4.01) for MCS, β = 3.20(2.48, 3.91) for SF-12 total score). In our study, we found that social health status was positively associated with HR-QOL among the elderly in Zhejiang. Our findings could provide valuable information for decision-makers to develop interventions to improve the HR-QOL of the elderly.

Sections du résumé

BACKGROUND BACKGROUND
Population aging is an inevitable trend and previous studies have showed the relationship between social health related factors and health-related quality of life (HR-QOL) in the elderly. The objective of this study is to investigate the association of social health status with HR-QOL among community-dwelling elderly in Zhejiang.
METHODS METHODS
This cross-sectional study was based on community-dwelling elderly individuals from July 2018 to September 2018 in Zhejiang, China. HR-QOL was measured by the 12-item Short-Form Health Survey (SF-12). Social health status was estimated by the long-form of the Social Health Scale for the Elderly (SHSE-L) and classified into three categories (poor, moderate and good). Multivariable linear regression models were conducted to evaluate the association between social health status and HR-QOL (PCS, MCS and SF-12 total score).
RESULTS RESULTS
A total of 2952 elderly participants were included in this study. The mean age was 70.68 ± 7.75 years (mean ± SD); of the eligible participants, more than half (50.4%) were females; the mean scores were 48.10 ± 8.49, 47.70 ± 7.09 and 47.90 ± 5.86 for PCS, MCS and SF-12 total score, separately. Results from the multivariable models showed that social health status was positively related to HR-QOL after adjusting for covariates. Compared with individuals with a poor social health status, those who had a moderate or good social health status were more likely to report better HR-QOL (for moderate social health status: β = 1.90(95%CI: 1.09, 2.71) for PCS, β = 1.78(1.08, 2.48) for MCS, β = 1.84(1.29, 2.39) for SF-12 total score; for good social health status: β = 3.29(2.24, 4.34) for PCS, β = 3.10(2.12, 4.01) for MCS, β = 3.20(2.48, 3.91) for SF-12 total score).
CONCLUSION CONCLUSIONS
In our study, we found that social health status was positively associated with HR-QOL among the elderly in Zhejiang. Our findings could provide valuable information for decision-makers to develop interventions to improve the HR-QOL of the elderly.

Identifiants

pubmed: 32345322
doi: 10.1186/s12955-020-01358-4
pii: 10.1186/s12955-020-01358-4
pmc: PMC7189640
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110

Subventions

Organisme : Ministry of Science and Technology of the People's Republic of China
ID : 2015FY111600

Références

Gerontologist. 2018 Jan 18;58(1):101-110
pubmed: 28510656
Aging Ment Health. 2016;20(4):370-9
pubmed: 25806938
J Aging Health. 2009 Jun;21(4):581-95
pubmed: 19269929
Popul Dev Rev. 2013 Sep 1;39(3):371-396
pubmed: 25620818
Qual Life Res. 2019 Apr;28(4):1063-1073
pubmed: 30478598
Soc Sci Med. 2010 Apr;70(7):1070-6
pubmed: 20138418
Ann Occup Environ Med. 2015 Nov 30;27:25
pubmed: 26623075
J Nurs Res. 2018 Oct;26(5):316-323
pubmed: 29099470
J Korean Acad Nurs. 2014 Dec;44(6):608-16
pubmed: 25608539
J Clin Psychol. 1984 Jan;40(1):149-56
pubmed: 6547731
Qual Life Res. 2018 Mar;27(3):783-792
pubmed: 29124499
J Aging Health. 2003 Nov;15(4):616-44
pubmed: 14587529
Nihon Koshu Eisei Zasshi. 2004 Feb;51(2):79-93
pubmed: 15058098
Health Qual Life Outcomes. 2011 Jun 27;9:47
pubmed: 21708011
J Gerontol. 1990 Nov;45(6):S267-74
pubmed: 2229953
BMJ. 2011 Jul 26;343:d4163
pubmed: 21791490
Geriatr Gerontol Int. 2017 Jan;17(1):132-141
pubmed: 26799715
J Biosoc Sci. 2014 Jul;46(4):518-30
pubmed: 24229533
BMC Geriatr. 2018 Sep 4;18(1):205
pubmed: 30180808
Can J Public Health. 1992 Sep-Oct;83(5):354-6
pubmed: 1473062
Aging Clin Exp Res. 2016 Apr;28(2):339-46
pubmed: 26142623
Arch Gerontol Geriatr. 2015 Mar-Apr;60(2):311-6
pubmed: 25547994
Qual Life Res. 2017 May;26(5):1303-1314
pubmed: 27817103
PLoS One. 2013 Dec 16;8(12):e84152
pubmed: 24358336
J Epidemiol Community Health. 2018 Dec;72(12):1083-1090
pubmed: 30077965
Geriatr Gerontol Int. 2017 Oct;17(10):1522-1526
pubmed: 27726293
Arch Psychiatr Nurs. 2018 Apr;32(2):256-262
pubmed: 29579521
Gerontologist. 2016 Apr;56 Suppl 2:S163-6
pubmed: 26994257
Aging Ment Health. 2003 May;7(3):224-31
pubmed: 12775405
Aging Dis. 2012 Dec;3(6):465-71
pubmed: 23251852
Clin Interv Aging. 2017 Jun 23;12:971-976
pubmed: 28694690
Arch Psychiatr Nurs. 2017 Apr;31(2):197-204
pubmed: 28359433
BMC Public Health. 2015 Sep 19;15:921
pubmed: 26386951
BMJ Open. 2013 Feb 01;3(2):
pubmed: 23377996
Semergen. 2012 Apr;38(3):137-44
pubmed: 24895717
PLoS One. 2017 Jan 25;12(1):e0170513
pubmed: 28122033
Health Qual Life Outcomes. 2018 Apr 18;16(1):67
pubmed: 29669546
J Neurol. 2015 Sep;262(9):2042-8
pubmed: 26070289
Int J Geriatr Psychiatry. 2009 Nov;24(11):1226-36
pubmed: 19319829
Taehan Kanho Hakhoe Chi. 2004 Aug;34(5):781-90
pubmed: 15502443
Arch Gerontol Geriatr. 2017 Nov;73:182-186
pubmed: 28822919
Acta Med Okayama. 2018 Feb;72(1):31-37
pubmed: 29463936
J Epidemiol Community Health. 2018 Nov;72(11):990-996
pubmed: 29970598
J Rehabil Res Dev. 2013;50(3):437-48
pubmed: 23881768
J Affect Disord. 2016 Nov 01;204:59-69
pubmed: 27337705

Auteurs

Jieming Lu (J)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Zhebin Yu (Z)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Xiaocong Zhang (X)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Mengyin Wu (M)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Shujuan Lin (S)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Yao Zhu (Y)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Zenghao Xu (Z)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Liuqing You (L)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Fang Wei (F)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Mengling Tang (M)

Department of Epidemiology and Biostatistics, Zhejiang University, School of Medicine, Hangzhou, Zhejiang, China.

Mingjuan Jin (M)

Department of Epidemiology and Biostatistics, Cancer Institute, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Jianbing Wang (J)

Department of Epidemiology and Biostatistics, the Children's Hospital, National Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China. wangjianbing@zju.edu.cn.

Kun Chen (K)

Department of Epidemiology and Biostatistics, Cancer Institute, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. ck@zju.edu.cn.

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