Evidence map›Paper›PMID 26873032›Full record

ArticleThe Gerontologist2017

Mechanisms Linking Neighborhood Age Composition to Health.

Sara M Moorman, Jeffrey E Stokes, Jeremiah C Morelock

Abstract read
In one paragraph

Article in The Gerontologist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Ageism and late-life mortality: How community matters.Social science & medicine (1982) · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Population Aging and Health Trajectories at Older Ages.The journals of gerontology. Series B, Psychological sciences and social sciences · 2019
    Article
  6. Associations Among Neighborhood Characteristics, Mobility Limitation, and Social Participation in Late Life.The journals of gerontology. Series B, Psychological sciences and social sciences · 2019
    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

3 authors.

Sara M MoormanDepartment of Sociology, Boston College, Chestnut Hill, Massachusetts.
Jeffrey E StokesDepartment of Sociology, Boston College, Chestnut Hill, Massachusetts.
Jeremiah C MorelockDepartment of Sociology, Boston College, Chestnut Hill, Massachusetts.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTOPHER L COE · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
NIA NIH HHS P01 AG020166NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

Purpose of the Study: Age integration theory posits that the age composition of spaces affects the social interactions in which people can engage. This study aimed to examine whether social interactions perceived to involve generativity (i.e., commitment to younger generations), daily discrimination, and/or social cohesion mediate associations between neighborhood age composition, self-reported health, and psychological well-being. Design and Methods: We applied multilevel structural equation models to data from 4,017 participants aged 30-84 who participated in the 2004-2006 wave of National Survey of Midlife Development in the United States, merged with data on their 3,714 neighborhoods from the 2010U.S. Census. Results: Neighborhoods that represented the age distribution of the United States and neighborhoods that overrepresented older adults were contexts in which residents reported the most generativity and social cohesion. In turn, generativity and social cohesion were associated with better self-reported health and higher psychological well-being. Implications: The nature of social interaction links neighborhood age composition to health and well-being. These results clarify the results of prior studies, advance measurement, suggest elaborations to age integration theory, and point to new directions for aging-in-place initiatives.

Indexed as

Age DistributionHealth StatusAdolescentAdultAgedAged, 80 and overAge FactorsEmotional AdjustmentFemaleHumansInterpersonal RelationsMaleMiddle AgedResidence CharacteristicsSocial EnvironmentUnited StatesSelf-rated healthSociology of aging/social gerontologyStructural equation modelsWell-being

Identifiers

PMID26873032
PMCPMC6281327

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.