Evidence map›Paper›PMID 36259923›Full record

ArticleThe Gerontologist2023

Crime, Disorder, and Territorial Stigmatization: Older Adults Living in Deprived Neighborhoods.

Afsaneh Taei, Håkan Jönson, Marianne Granbom

Abstract read
In one paragraph

Article in The Gerontologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Afsaneh TaeiDepartment of Health Sciences, Lund University, Lund, Sweden.ORCID 0000-0002-1202-7740
Håkan JönsonSchool of Social Work, Lund University, Lund, Sweden.
Marianne GranbomDepartment of Health Sciences, Lund University, Lund, Sweden.

Funding

Swedish Research Council for Health, Working Life and Welfare 2019/00107
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe existence of social problems, crime, and a diminishing sense of community are acknowledged challenges to residents of deprived neighborhoods. In research on deprived neighborhoods in Sweden, the perspectives of young residents and adults of working age dominate. This study explores how older adults in deprived neighborhoods in Sweden experience crime and disorder, and how they adapt and respond to these problems and the neighborhood's poor reputation. RESEARCH DESIGN AND

methodsSemistructured interviews were conducted with 22 older adults who had lived 5 years or more in deprived areas of two cities in Sweden. Data were analyzed using Hirschman's theory of exit, voice, and loyalty with a thematic analysis.

resultsMost residents had positive things to say about their homes and neighborhoods, even if criminal acts such as shootings, drug dealing, arson, burglary, and knife attacks were part of everyday life. The residents attempted to manage these events with various strategies. Exit strategies included relocation and forms of adaptation and detachment. They used several voice strategies to actively try to solve the problems and engage with the community. Loyalty strategies-and relativizing-were used to defend their neighborhood reputation. DISCUSSION AND IMPLICATIONS: The findings show we should move on from generalized notions of older adults as passive victims of their environment and highlight that some older adults are active agents in building communities in deprived neighborhoods. City improvement programs should extend support to older adults who wish to engage. Approaches are identified which may strengthen older adults' contributions in such neighborhoods.

Indexed as

Residence CharacteristicsStereotypingAgedCrimeHumansDeprived areaHirschman’s theoryNeighborhood reputation

Identifiers

PMID36259923
PMCPMC10268582

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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.