Evidence map›Paper›PMID 25799269›Full record

ArticlePloS one2015

Relationship of the perceived social and physical environment with mental health-related quality of life in middle-aged and older adults: mediating effects of physical activity.

Delfien Van Dyck, Megan Teychenne, Sarah A McNaughton, Ilse De Bourdeaudhuij, Jo Salmon

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
10.9field-weighted citation impact, top 1% of its field
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 127 citations in OpenAlex.

  1. Pooled it
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  11. The Use of Urban Parks by Older Adults in the Context of Perceived Security.International journal of environmental research and public health · 2022
    Article
  12. Neighborhood Makes or Breaks Active Ageing? Findings from Cross-Sectional Path Analysis.International journal of environmental research and public health · 2022
    Article
  13. Article
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  18. Latent Variables Quantifying Neighborhood Characteristics and Their Associations with Poor Mental Health.International journal of environmental research and public health · 2021
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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

5 authors at 3 institutions in 2 countries.

Delfien Van DyckResearch Foundation Flanders, Egmontstraat 5, 1000 Brussels, Belgium; Ghent University, Department of Movement and Sports Sciences, Watersportlaan 2, 90000 Ghent, Belgium.
Megan TeychenneDeakin University, Centre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, 221 Burwood Highway, Burwood, Victoria 3125, Australia.
Sarah A McNaughtonDeakin University, Centre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, 221 Burwood Highway, Burwood, Victoria 3125, Australia.
Ilse De BourdeaudhuijGhent University, Department of Movement and Sports Sciences, Watersportlaan 2, 90000 Ghent, Belgium.
Jo SalmonDeakin University, Centre for Physical Activity and Nutrition Research, School of Exercise and Nutrition Sciences, 221 Burwood Highway, Burwood, Victoria 3125, Australia.
Deakin University · AUGhent University · BEResearch Foundation - Flanders · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health conditions are among the leading non-fatal diseases in middle-aged and older adults in Australia. Proximal and distal social environmental factors and physical environmental factors have been associated with mental health, but the underlying mechanisms explaining these associations remain unclear. The study objective was to examine the contribution of different types of physical activity in mediating the relationship of social and physical environmental factors with mental health-related quality of life in middle-aged and older adults.

methodsBaseline data from the Wellbeing, Eating and Exercise for a Long Life (WELL) study were used. WELL is a prospective cohort study, conducted in Victoria, Australia. Baseline data collection took place in 2010. In total, 3,965 middle-aged and older adults (55-65 years, 47.4% males) completed the SF-36 Health Survey, the International Physical Activity Questionnaire, and a questionnaire on socio-demographic, social and physical environmental attributes. Mediation analyses were conducted using the MacKinnon product-of-coefficients test.

resultsPersonal safety, the neighbourhood physical activity environment, social support for physical activity from family or friends, and neighbourhood social cohesion were positively associated with mental health-related quality of life. Active transportation and leisure-time physical activity mediated 32.9% of the association between social support for physical activity from family or friends and mental health-related quality of life. These physical activity behaviours also mediated 11.0%, 3.4% and 2.3% respectively, of the relationship between the neighbourhood physical activity environment, personal safety and neighbourhood social cohesion and mental health-related quality of life.

conclusionsIf these results are replicated in future longitudinal studies, tailored interventions to improve mental health-related quality of life in middle-aged and older adults should use a combined strategy, focusing on increasing physical activity as well as social and physical environmental attributes.

Indexed as

Mental HealthMotor ActivityQuality of LifeSocial EnvironmentAgedAustraliaFemaleHealth SurveysHumansMaleMiddle AgedProspective StudiesSocioeconomic Factors

Identifiers

PMID25799269
PMCPMC4370752
OpenAlexW2056220705

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.