Evidence map›Paper›PMID 34484858›Full record

ArticleChinese sociological review2021

From Traditional and Socialist Work-Unit Communities to Commercial Housing: The Association between Neighborhood Types and Adult Health in Urban China.

Lei Lei, Zhiyong Lin

Abstract read
In one paragraph

Article in Chinese sociological review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

  1. The Residential Environment and Health and Well-Being of Chinese Migrant Populations: A Systematic Review.International journal of environmental research and public health · 2023
    Pooled it
  2. Article
  3. Article
  4. Socioeconomic Determinants of Health and Their Unequal Distribution in Poland.International journal of environmental research and public health · 2021
    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

2 authors.

Lei LeiDepartment of Sociology, Rutgers University.
Zhiyong LinCenter on Aging and Population Sciences and Population Research Center, The University of Texas at Austin.

Funding

Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI HAYWARD, MARK D. · 2002 to 2016
$8.4M
Program Development and Pilot CoreP30AG066614 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI KAREN L FINGERMAN · 2020 to 2026
$5.2M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
NIA NIH HHS P30 AG066614NICHD NIH HHS P2C HD042849NICHD NIH HHS R24 HD042849
6 · The paper itself

Abstract

The urban structure in China has been transformed profoundly through rounds of economic reforms. Over the past 60 years, various types of neighborhoods have emerged at different stages of economic and social transition. Formed and organized in different ways, these neighborhoods provide distinct economic, social, and physical environments to residents. However, little is known about the link between neighborhood types and the health of residents in urban China. Using longitudinal data from the China Labor-Force Dynamics Survey (2012-2014), we estimate multilevel regression models to predict self-rated health (SRH) while controlling for a lagged measure of SRH. Results show that living in traditional communities in old districts and work-unit compounds for state-owned enterprises is associated with better SRH among older adults (≥50 years old) compared with living in other types of neighborhoods, such as commercial-housing communities and migrant enclaves. Neighborhood types do not matter for the health of younger adults (< 50 years old). Neighborhood water quality and distance to facilities are associated with SRH for older adults but do not account for the relationships between neighborhood types and SRH.

Indexed as

agingneighborhoodsself-rated healthsocial cohesionurban China

Identifiers

PMID34484858
PMCPMC8412143

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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.