Decomposition analysis of health inequalities between the urban and rural oldest-old populations in China: Evidence from a national survey.
China
Decomposition analysis
Health Inequality
Oldest-old
Self-rated health
Journal
SSM - population health
ISSN: 2352-8273
Titre abrégé: SSM Popul Health
Pays: England
ID NLM: 101678841
Informations de publication
Date de publication:
Mar 2023
Mar 2023
Historique:
received:
28
04
2022
revised:
15
12
2022
accepted:
18
12
2022
entrez:
9
1
2023
pubmed:
10
1
2023
medline:
10
1
2023
Statut:
epublish
Résumé
The number of Chinese oldest-old (aged 80+) is growing rapidly and some studies have shown that the health status is unequal among older persons in different regions. However, to the best of our knowledge, no study to date has analyzed health inequalities among the oldest-old in urban and rural areas in China. This study therefore aimed to examine the correlation between health inequalities among the oldest-old in urban and rural areas of China. From the 8th wave of the Chinese Longitudinal Health Longevity Survey (CLHLS), we selected 8124 oldest-old participants who met the requirements of the study. Chi-square tests were used to analyze the distribution characteristics of indicators and a logistic model was performed to determine the factors associated with different self-rated health (SRH). The Fairlie model was adopted to decompose the causes and related contributions to health inequality. Our results found that of the Chinese oldest-old, 46.57% were in good health. Urban residents reported significantly better SRH than rural residents (50.17% vs. 45.13%). Variables associated with good and poor SRH had different distribution characteristics. The logistic model suggested that marital status, alcohol consumption, and annual income were important factors underlying the SRH differences. Our decomposition analysis indicated that 76.64% of the SRH differences were caused by observational factors, and validated that the difference in SRH between urban and rural areas was significantly (P<0.05) associated with exercise status (45.44%), annual income (37.64%), social activity status (3.75%), age (-5.27%), and alcohol consumption (-2.66%). Therefore, socioeconomic status and individual lifestyle status were the main factors underlying the health inequality between urban and rural Chinese oldest-old.
Identifiants
pubmed: 36618546
doi: 10.1016/j.ssmph.2022.101325
pii: S2352-8273(22)00304-4
pmc: PMC9816804
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101325Informations de copyright
© 2022 The Authors. Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
None.
Références
BMC Public Health. 2019 Jul 18;19(1):960
pubmed: 31319817
J Appl Gerontol. 2021 Jul;40(7):752-762
pubmed: 32396415
J Healthc Eng. 2022 Feb 08;2022:2367406
pubmed: 35178223
BMC Public Health. 2020 Apr 15;20(1):502
pubmed: 32295560
J Clin Hypertens (Greenwich). 2022 Mar;24(3):320-328
pubmed: 35188335
Front Public Health. 2022 Feb 08;10:824783
pubmed: 35211447
Int J Environ Res Public Health. 2020 Feb 04;17(3):
pubmed: 32033086
Lancet. 2017 Apr 22;389(10079):1619-1629
pubmed: 28285816
Health Soc Care Community. 2021 Sep;29(5):1461-1472
pubmed: 33094541
J Epidemiol Community Health. 2016 Aug;70(8):764-70
pubmed: 26797821
SSM Popul Health. 2020 Mar 18;11:100567
pubmed: 32258355
Eur Rev Med Pharmacol Sci. 2021 Sep;25(17):5529-5541
pubmed: 34533803
J Clin Oncol. 2002 May 15;20(10):2514-9
pubmed: 12011130
Lancet Diabetes Endocrinol. 2022 Mar;10(3):193-206
pubmed: 35131037
Int J Environ Res Public Health. 2021 Jul 29;18(15):
pubmed: 34360346
Rev Panam Salud Publica. 2021 Sep 30;45:e114
pubmed: 34621302
J Women Aging. 2021 Nov 25;:1-14
pubmed: 34821544
Eur Geriatr Med. 2022 Aug;13(4):977-986
pubmed: 35218555
BMC Health Serv Res. 2015 Oct 01;15:441
pubmed: 26423746
Prev Med. 2019 Jan;118:295-303
pubmed: 30476503
J Aging Health. 2020 Dec;32(10):1376-1386
pubmed: 32538249
Res Econ Inequal. 2013 Jun;21:263-284
pubmed: 24570580
Age Ageing. 2017 Nov 1;46(6):932-939
pubmed: 28985329
J Pers Med. 2022 Jan 17;12(1):
pubmed: 35055437
BMC Geriatr. 2022 Jan 3;22(1):10
pubmed: 34979973
BMC Geriatr. 2021 Dec 18;21(1):721
pubmed: 34922481