Evidence map›Paper›PMID 38106373›Full record

ArticleInnovation in aging2023

Housing Environmental Factors Driving Falls Among Middle-Aged and Older Adults: A National Cohort Study.

Shaojie Li, Guanghui Cui, Yuliang Er, Pengpeng Ye, Tao Xue, Junfeng Jim Zhang, Xiaoyun Liu, Leilei Duan, Faqin Lv, Yao Yao

Abstract read
In one paragraph

Article in Innovation in aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Protective Factors for Falls Among Independent Older Adults: A Cross-Sectional Study.International journal of environmental research and public health · 2025
    Article
  6. Article
  7. 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

10 authors.

Shaojie LiSchool of Public Health, Peking University, Beijing, China.
Guanghui CuiDepartment of Integrated Traditional Chinese and Western Medicine, Peking University First Hospital, Beijing, China.
Yuliang ErDivision of Injury Prevention and Mental Health, National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Pengpeng YeDivision of Injury Prevention and Mental Health, National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Tao XueSchool of Public Health, Peking University, Beijing, China.
Junfeng Jim ZhangGlobal Health Institute and the Nicholas School of Environment, Duke University, Durham, North Carolina, USA.
Xiaoyun LiuChina Center for Health Development Studies, Peking University, Beijing, China.
Leilei DuanDivision of Injury Prevention and Mental Health, National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Faqin LvUltrasonic Department, The Third Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.
Yao YaoChina Center for Health Development Studies, Peking University, Beijing, China.ORCID https://orcid.org/0000-0002-6723-6152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Housing is one of the main places where falls occur; however, few studies have examined housing environmental factors driving fall risk. This study aimed to explore the associations between housing environmental factors and falls in China. Research Design and Methods: The study included data of middle-aged and older adults aged ≥45 years from 4 waves of the China Health and Retirement Longitudinal Study. We assessed 7 housing environmental factors: building materials, toilet types, household tidiness, household cooking fuels, and access to electricity, running water, and bathing facilities. Based on these, we divided housing environments into 3 types: good (0-2 poor factors), moderate (3-5 poor factors), and poor (6-7 poor factors). Falls incidence (yes or no) was self-reported during the survey period. We applied the Cox proportional hazard model to estimate the associations, adjusting for a set of covariates such as sociodemographic characteristics, lifestyles, and disease status. Results: A total of 12,382 participants were analyzed, and the incidence of falls was 31.7%. According to the fully adjusted model, having a squatting toilet (hazard ratio [HR] = 1.14, 95% confidence interval [CI] = 1.03-1.26), household untidiness (HR = 1.09, 95% CI = 1.01-1.18), and solid fuel use for cooking (HR = 1.10, 95% CI = 1.02-1.18) were associated with a higher risk of falls ( Discussion and Implications: Among middle-aged and older Chinese adults, a better household environment, including sitting toilets, tidy living conditions, and clean fuel use for cooking, may reduce the risk of falls. The evidence from our study suggests the need to implement age-friendly housing environments to prevent falls and disability in an aging society.

Indexed as

Cohort studyFallsHousing environmentsMiddle-aged and older adults

Identifiers

PMID38106373
PMCPMC10724174

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.