Evidence map›Paper›PMID 33837409›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2022

Links Between Mortality and Socioeconomic Characteristics, Disease Burden, and Biological and Physical Functioning in the Aging Chinese Population.

Yuan S Zhang, John A Strauss, Peifeng Hu, Yaohui Zhao, Eileen M Crimmins

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

11 citing papers in PubMed, 25 citations in OpenAlex.

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  11. Frontiers in medicine · 2021
    Review
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

5 authors at 4 institutions in 2 countries.

Yuan S ZhangCarolina Population Center, University of North Carolina, Chapel Hill, USA.ORCID 0000-0002-1290-9305
John A StraussDepartment of Economics, University of Southern California, Los Angeles, USA.
Peifeng HuDavid Geffen School of Medicine, University of California, Los Angeles, USA.
Yaohui ZhaoNational School of Development, Peking University, Beijing, China.
Eileen M CrimminsDavis School of Gerontology, University of Southern California, Los Angeles, USA.
University of Southern California · USPeking University · CNUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · US

Funding

USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
China Health and Retirement Longitudinal StudyR01AG037031 · NIA · PEKING UNIVERSITY · PI STRAUSS, JOHN A, WANG, YAFENG · 2010 to 2024
$15.1M
RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
USC Resource Center for Minority Aging Research (US-RCMAR)P30AG043073 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EMMA AGUILA, JENNIFER A AILSHIRE · 2012 to 2026
$10.1M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
From Biological to Social Processes: Interdisciplinary Training in Life Course ResearchT32HD091058 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER, Amanda L Thompson · 2017 to 2026
$4.3M
Program Development (Pilot) CoreP30AG066615 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TAYLOR HARGROVE · 2020 to 2026
$4.1M
Harmonized Cognitive and Dementia Assessment in ChinaR01AG053228 · NIA · PEKING UNIVERSITY · PI HUANG, YUEQIN, STRAUSS, JOHN A · 2016 to 2019
$1.7M
A cross-national comparative study on cardiometabolic risk, education, and cognitive agingR00AG070274 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, YUAN S · 2023 to 2025
$721k
A cross-national comparative study on cardiometabolic risk, education, and cognitive agingK99AG070274 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZHANG, YUAN S · 2021 to 2022
$191k
NIA NIH HHS K99 AG070274NIA NIH HHS P30 AG017265NIA NIH HHS P30 AG043073NIA NIH HHS P30 AG066615NIA NIH HHS R00 AG070274NIA NIH HHS R01 AG037031NIA NIH HHS R01 AG053228NIA NIH HHS T32 AG000037NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD091058NIH HHS P30AG17265
6 · The paper itself

Abstract

objectivesDeterminants of mortality may depend on the time and place where they are examined. China provides an important context in which to study the determinants of mortality at older ages because of its unique social, economic, and epidemiological circumstances. This study uses a nationally representative sample of persons in China to determine how socioeconomic characteristics, early-life conditions, biological and physical functioning, and disease burden predict 4-year mortality after age 60.

methodsWe used data from the China Health and Retirement Longitudinal Study. We employed a series of Cox proportional hazard models based on exact survival time to predict 4-year all-cause mortality between the 2011 baseline interview and the 2015 interview.

resultsWe found that rural residence, poor physical functioning ability, uncontrolled hypertension, diabetes, cancer, a high level of systemic inflammation, and poor kidney functioning are strong predictors of mortality among older Chinese. DISCUSSION: The results show that the objectively measured indicators of physical functioning and biomarkers are independent and strong predictors of mortality risk after accounting for several additional self-reported health measures, confirming the value of incorporating biological and performance measurements in population health surveys to help understand health changes and aging processes that lead to mortality. This study also highlights the importance of social and historical context in the study of old-age mortality.

Indexed as

AgingChronic DiseaseCost of IllnessMortalityPhysical Functional PerformanceAgedChinaFemaleHealth Status DisparitiesHumansLongitudinal StudiesMaleProportional Hazards ModelsRisk FactorsSocioeconomic FactorsChina Health and Retirement Longitudinal Study (CHARLS)Death and dyingLife course analysisSocioeconomic status

Identifiers

PMID33837409
PMCPMC8824635
OpenAlexW3141336414

What OpenQuestion holds

Textmetadata
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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.