Evidence map›Paper›PMID 28575472›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2019

Population Aging and Health Trajectories at Older Ages.

Eric M Vogelsang, James M Raymo, Jersey Liang, Erika Kobayashi, Taro Fukaya

Erratum issuedAbstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Eric M VogelsangDepartment of Sociology, California State University-San Bernardino.
James M RaymoDepartment of Sociology, University of Wisconsin-Madison.
Jersey LiangSchool of Public Health, University of Michigan, Ann Arbor.
Erika KobayashiDepartment of Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Japan.
Taro FukayaDepartment of Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Japan.

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
POPULATION, LIFE COURSE, AND AGINGT32AG000129 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1986 to 2026
$6.0M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
NIA NIH HHS P30 AG017266NIA NIH HHS T32 AG000129NICHD NIH HHS P2C HD047873
6 · The paper itself

Abstract

objectiveThis study examines relationships between municipal age structure and two types of self-rated health: general (SRH) and comparison with similar-aged peers (C-SRH).

methodsUsing a national sample of almost 5,000 Japanese older adults over two decades, we employ hierarchical growth curve models to estimate health trajectories. For municipal age structure, we consider both the relative prevalence of elderly adults in the local population and the pace of aging over time.

resultsLiving in the oldest municipalities was generally associated with worse health, particularly between the ages of 70 and 80 years. For SRH, the speed of municipal population aging was also independently associated with worse health. For C-SRH, worse health in older areas was partially explained by less favorable economic conditions in those municipalities. Results also suggest that higher levels of employment and social integration among older adults living in the oldest municipalities operate in the opposite direction. That is, these attributes partially "protect" individuals from other factors that contribute to worse health. DISCUSSION: Relative differences in municipal age structure and the pace of population aging are largely unexplored and potentially important correlates of older adult health. This line of research is increasingly salient in a world with substantial and growing regional variation in population aging.

Indexed as

AgingDiagnostic Self EvaluationHealth StatusSocial EnvironmentAgedAged, 80 and overCitiesFemaleHealth SurveysHumansJapanLongitudinal StudiesMaleMiddle AgedUrban PopulationHealth trajectoriesJapanPopulation agingSelf-rated health

Identifiers

PMID28575472
PMCPMC6748743

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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.