Evidence map›Paper›PMID 21900505›Full record

ArticleThe Gerontologist2012

City governments and aging in place: community design, transportation and housing innovation adoption.

Amanda J Lehning

Abstract read
In one paragraph

Article in The Gerontologist, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Aging in Place:: Are We Prepared?Delaware journal of public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Optimizing mobility in later life: the role of the urban built environment for older adults aging in place.Journal of urban health : bulletin of the New York Academy of Medicine · 2013
    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

1 author.

Amanda J LehningUniversity of Michigan, School of Social Work, Ann Arbor, 48109, USA. alehning@umich.edu

Funding

SOCIAL RESEARCH TRAINING ON APPLIED ISSUES OF AGINGT32AG000117 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DUNKLE, RUTH E · 1985 to 2011
$2.9M
NIA NIH HHS T32-AG000117
6 · The paper itself

Abstract

purpose of the studyTo examine the characteristics associated with city government adoption of community design, housing, and transportation innovations that could benefit older adults. DESIGN AND

methodsA mixed-methods study with quantitative data collected via online surveys from 62 city planners combined with qualitative data collected via telephone interviews with a subsample of 18 survey respondents.

resultsResults indicate that advocacy is an effective strategy to encourage city government adoption of these innovations. Percent of the population with a disability was positively associated, whereas percent of the population aged 65 and older was not associated or negatively associated, with innovation adoption in the regression models. Qualitative interviews suggest that younger individuals with disabilities are more active in local advocacy efforts. IMPLICATIONS: Results suggest that successful advocacy strategies for local government adoption include facilitating the involvement of older residents, targeting key decision makers within government, emphasizing the financial benefits to the city, and focusing on cities whose aging residents are vulnerable to disease and disability.

Indexed as

AgingConsumer AdvocacyEnvironment DesignHousingTransportationAgedAged, 80 and overCross-Sectional StudiesDiffusion of InnovationFemaleHumansInternetInterviews as TopicLocal GovernmentMalePersons with Disabilities

Identifiers

PMID21900505
PMCPMC3409800

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.