Evidence map›Paper›PMID 39511472›Full record

ArticleBMC geriatrics2024

Association of low socioeconomic status with cognitive decline among older persons in underdeveloped areas in China - a data analysis of the Gansu aging study.

Juxia Zhang, Yuping Feng, Xiaoli Zhang, Jing Wang, Hu Cheng, Yunhua Wang, Jiancheng Wang

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Juxia Zhang *Department of Clinical Education, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China.
Yuping Feng *Nursing Department, Lanzhou University Second Hospital, Lanzhou, 730000, Gansu, China.
Xiaoli ZhangSchool of Nursing, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China.
Jing WangSchool of Nursing, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China.
Hu ChengSchool of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Yunhua WangSchool of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Jiancheng WangDepartment of General Practice Medicine, Hospital of Gansu health vocational college, Lanzhou, 730000, Gansu, China. 364954672@qq.com.

Funding

China Medical Education Association Project 2022KTZ010National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 72264002Research Fund project of Gansu Provincial Hospital 22GSSYYD-70
6 · The paper itself

Abstract

backgroundIndividuals with low socioeconomic status (SES) bear a disproportionate share of the cognitive impairment (CI) burden, there are growing evidence focusing on socioeconomic inequalities in CI among older persons. However, data in the underdeveloped regions is limited. This study aims to measure socioeconomic inequalities in CI among individuals aged 65 years or older in Gansu, China, and determine the contributions of socioeconomic factors to the inequalities.

methodsData from the Gansu Aging Study in 2022 including 3241 participants. Participates' SES was assessed by using education, income, and occupation. Multivariate logistic regression was conducted to identify the associated between SES and CI, and decomposition analysis was further applied to decompose the contribution of each determinant to the observed inequalities in CI. The SES inequalities in CI were illustrated and quantified by the concentration curve index.

resultsOverall, 24.2% of participants suffered from CI in the study. The likelihood of CI was lower among those with a medium SES (OR = 0.04, 95% CI:0.03, 0.07), good SES (OR = 0.06, 95% CI: 0.04, 0.09) compared to those with lower levels of SES. Older adults with mild depression (OR = 3.66, 95% CI:2.70,4.95), moderate-severe (OR = 2.82, 95% CI:2.05,3.88) were more likely to have CI in comparison to those with no depression and regular social activities were protective factors for CI (OR = 0.28, 95% CI:0.11,0.75). The concentration index indicated that CI was more concentrated in households with poor SES. Subsequently, SES explained 34.65% of socioeconomic inequality in CI.

conclusionThis study suggested that, approximately one-quarter of older persons suffered from CI in Gansu, China. Low SES was substantially associated with risk of CI. Although interventions to modify traditional risk factors may decrease the risk of CI, disparities by SES may remain without addressing SES itself.

Indexed as

Cognitive DysfunctionSocial ClassAgedAged, 80 and overChinaFemaleHumansLow Socioeconomic StatusMaleSocioeconomic FactorsChinaCognitive declineCognitive impairmentDementiaOlder personsSocioeconomic statusUnderdeveloped areas

Identifiers

PMID39511472
PMCPMC11545157

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.