Evidence map›Paper›PMID 24084525›Full record

ArticleJournal of aging and health2014

Local-area age structure and population composition: implications for elderly health in Japan.

Eric M Vogelsang, James M Raymo

Abstract read
In one paragraph

Article in Journal of aging and health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Population Aging and Health Trajectories at Older Ages.The journals of gerontology. Series B, Psychological sciences and social sciences · 2019
    Article
  3. Article
  4. Article
  5. 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.

Eric M VogelsangUniversity of Wisconsin, Madison, USA.
James M Raymo

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Center for Demography and EcologyR24HD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI RAYMO, JAMES M · 2004 to 2013
$7.2M
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 5T32AG000129NIA NIH HHS P30 AG017266NIA NIH HHS T32 AG000129NICHD NIH HHS P2C HD047873NICHD NIH HHS R24 HD047873
6 · The paper itself

Abstract

objectiveThis study examines relationships between local-area age structure and health at older ages.

methodWe estimate random intercept models for two disability measures using four waves of data from a national panel study of 3,580 Japanese older adults.

resultsElderly living in relatively older areas reported more difficulties with activities of daily living compared with those living in an "average" age structure. Controlling for individual characteristics and time did little to change this relationship; while a similar relationship between older age structure and functional limitations emerged. DISCUSSION: Residents of relatively older areas tended to have lower socioeconomic status, but this "disadvantage" was offset by their higher rates of employment and marriage. These compositional differences highlight the role of local-area age structure in identifying and understanding elderly health variation between places.

Indexed as

Activities of Daily LivingHealth Status DisparitiesAgedAge FactorsDemographyFemaleHumansJapanLongitudinal StudiesMalePersons with DisabilitiesResidence CharacteristicsSocial Classage structuredisabilityenvironmental gerontologyJapanpopulation aging

Identifiers

PMID24084525
PMCPMC4096247

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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.