Evidence map›Paper›PMID 39705748›Full record

ArticleThe journal of nutrition, health & aging2025

Associations between housing quality and sarcopenia among older adults: evidence from China and India.

Shaojie Li, Longbing Ren, Yang Hu, Yifei Wu, Yuling Jiang, Mingzhi Yu, Haiyan Kou, Dudu Wu, Wenjian Zhou, Zhouwei Liu and 2 more

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In one paragraph

Article in The journal of nutrition, health & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Shaojie LiSchool of Public Health, Peking University, Beijing 100191, China; China Center for Health Development Studies, Peking University, Beijing 100191, China.
Longbing RenSchool of Public Health, Peking University, Beijing 100191, China; China Center for Health Development Studies, Peking University, Beijing 100191, China.
Yang HuSchool of Public Health, Peking University, Beijing 100191, China; China Center for Health Development Studies, Peking University, Beijing 100191, China.
Yifei WuSchool of Public Health, Peking University, Beijing 100191, China.
Yuling JiangSchool of Public Health, Peking University, Beijing 100191, China; China Center for Health Development Studies, Peking University, Beijing 100191, China.
Mingzhi YuSchool of Public Health, Peking University, Beijing 100191, China; China Center for Health Development Studies, Peking University, Beijing 100191, China.
Haiyan KouUltrasonic Department, The Third Medical Center of Chinese People's Liberation, Army General Hospital, Beijing, China.
Dudu WuUltrasonic Department, Hainan Hospital of PLA General Hospital, Hainan, China.
Wenjian ZhouSchool of Public Health, Peking University, Beijing 100191, China; China Center for Health Development Studies, Peking University, Beijing 100191, China.
Zhouwei LiuSchool of Public Health, Peking University, Beijing 100191, China; China Center for Health Development Studies, Peking University, Beijing 100191, China.
Faqin LvUltrasonic Department, The Third Medical Center of Chinese People's Liberation, Army General Hospital, Beijing, China. Electronic address: lvjin8912@163.com.
Yao YaoChina Center for Health Development Studies, Peking University, Beijing 100191, China. Electronic address: yao.yao@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHousing is an important social determinant of health. However, limited studies have focused on the relationship between housing quality and sarcopenia, especially in low- and middle-income countries. This study aims to examine the association between housing quality and sarcopenia in older adults in China and India.

methodsThe study was based on the China Health and Retirement Longitudinal Study and Longitudinal Aging Study in India. Housing quality was evaluated by five indicators, including housing materials, water sources, sanitation facilities, main fuel for cooking, and availability of electricity. Housing quality is divided into three types: good (0-1 poor housing indicators), medium (2-3 poor housing indicators), and poor (4-5 poor housing indicators). Sarcopenia was evaluated according to the Asian Working Group for Sarcopenia (AWGS) 2019 Consensus. The logistic regression model was performed to examine the association between housing quality and sarcopenia.

resultsThe medium (OR = 1.69, 95%CI = 1.49-1.90) and poor housing quality (OR = 2.19, 95%CI = 1.89-2.54) were associated with sarcopenia in CHARLS. Similar results were also observed in the LASI with significantly higher prevalence of sarcopenia in medium (OR = 1.22, 95%CI = 1.11-1.33), and poor housing quality (OR = 1.60, 95%CI = 1.43-1.79). Moreover, we observed a linear relationship between housing quality and the prevalence of sarcopenia both in CHARLS and LASI (all P for trend <0.001).

conclusionsPoorer housing quality was associated with a higher prevalence of sarcopenia in older adults in China and India. Housing quality improvement plans such as access to tap water, promotion of clean energy may have a positive effect on reducing the prevalence of sarcopenia.

Indexed as

HousingSarcopeniaAgedAged, 80 and overChinaFemaleHumansIndiaLongitudinal StudiesMaleMiddle AgedPrevalenceChinaHousing qualityIndiaSarcopenia

Identifiers

PMID39705748
PMCPMC12180024

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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.