Evidence map›Paper›PMID 38859750›Full record

ArticleInternational journal of aging & human development2025

Household Environments and Cognitive Decline Among Middle-Aged and Older Adults in China: Exploring Gender, Age, and Residential Variations.

Ye Luo, Dandan Zhao, Xi Pan, Zhang Lingling

Abstract read
In one paragraph

Article in International journal of aging & human development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ye LuoDepartment of Sociology, Anthropology and Criminal Justice, Clemson University, Clemson, SC, USA.ORCID 0000-0003-4899-318X
Dandan ZhaoDepartment of Sociology, Anthropology and Criminal Justice, Clemson University, Clemson, SC, USA.
Xi PanDepartment of Sociology, Texas State University, San Marcos, TX, USA.ORCID 0000-0001-8705-9686
Zhang LinglingDepartment of Nursing, University of Massachusetts Boston, Boston, MA, USA.

Funding

Neighborhood Environments and Cognitive Decline Among Middle-Aged and Older Adults in ChinaR03AG065637 · NIA · CLEMSON UNIVERSITY · PI LUO, YE · 2020 to 2021
$154k
NIA NIH HHS R03 AG065637
6 · The paper itself

Abstract

This study examined the relationship between household environments and trajectories of cognitive function among middle-aged and older adults in China and its urban/rural, gender, and age variations. We estimated multi-level linear growth curve models using a representative sample of 16,111 respondents aged 45 years and over from the China Health and Retirement Longitudinal Study (2011-2018). Older people who lived with a spouse, but not with children, and those with higher living expenditures, better housing quality, and indoor clean fuels for cooking had a slower cognitive decline. Living arrangement more strongly predicted men's cognitive decline, while living expenditure, solid fuel use, and housing quality significantly predicted only women's cognitive decline. Only for older adults and rural residents, those living alone had significantly faster cognitive decline than those living with a spouse only. These findings underscore the importance of improving the living conditions of older adults to help alleviate their cognitive decline.

Indexed as

Cognitive DysfunctionFamily CharacteristicsResidence CharacteristicsAgedAged, 80 and overAge FactorsChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedRural PopulationSex FactorsUrban Populationcognitionhousehold environmentshousehold expenditureshousing qualityin-door pollutionliving arrangement

Identifiers

PMID38859750
PMCPMC13237860

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Registered trials

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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.