Evidence map›Paper›PMID 28499210›Full record

ArticleJournal of affective disorders2017

Micro-scale environment and mental health in later life: Results from the Cognitive Function and Ageing Study II (CFAS II).

Yu-Tzu Wu, A Matthew Prina, Andy Jones, Linda E Barnes, Fiona E Matthews, Carol Brayne, MRC CFAS

Abstract read
In one paragraph

Article in Journal of affective disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Urbanicity-Perspectives from Neuroscience and Public Health: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. Editorial: Urbanization and Ageing Health Outcomes.The journal of nutrition, health & aging · 2020
    Article
  8. Article
  9. Article
  10. Review
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

7 authors.

Yu-Tzu WuDepartment of Public Health and Primary Care, Institute of Public Health, Forvie Site, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0SR, United Kingdom. Electronic address: y.wu3@exeter.ac.uk.
A Matthew PrinaKing's College London, Institute of Psychiatry, Psychology and Neuroscience, Centre for Global Mental Health, Health Service and Population Research Department, De Crespigny Park, Denmark Hill, London SE5 8AF, United Kingdom.
Andy JonesNorwich Medical School, University of East Anglia, Norwich, Norfolk NR4 7TJ, United Kingdom.
Linda E BarnesDepartment of Public Health and Primary Care, Institute of Public Health, Forvie Site, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0SR, United Kingdom.
Fiona E MatthewsMRC Biostatistics Unit, Institute of Public Health, University of Cambridge, Cambridge CB2 0SR, United Kingdom; Institute of Health and Society, Newcastle University, Newcastle upon Tyne NE4 5PL, United Kingdom.
Carol BrayneDepartment of Public Health and Primary Care, Institute of Public Health, Forvie Site, University of Cambridge, School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0SR, United Kingdom.
MRC CFAS

Funding

Medical Research Council G0601022Medical Research Council G9901400Medical Research Council MR/K021907/1Medical Research Council MR/K023187/1
6 · The paper itself

Abstract

backgroundPoor micro-scale environmental features, such as graffiti and broken windows, have been associated with crime and signs of social disorder with a potential impact on mental health. The aim of this study is to investigate the association between micro-scale environment and mental health problems in later life, including cognitive (cognitive impairment and dementia) and common mental disorders (depressive and anxiety symptoms).

methodsThe method of visual image audits was used to collect micro-scale environmental data for 3590 participants in the Cognitive Function and Ageing Study II, a population-based multicentre cohort of people aged 65 or above in England. Multilevel logistic regression was used to examine the associations between the quality of micro-scale environment and mental health problems taking into account urban/rural difference.

resultsPoor quality of micro-scale environment was associated with nearly 20% increased odds of depressive (OR: 1.19; 95% CI: 0.99, 1.44) and anxiety symptoms (OR: 1.17; 95% CI: 0.99, 1.38) while the direction of association for cognitive disorders differed across urban and rural settings. Although higher odds of cognitive disorders were found in rural settings, living in a poor quality environment was associated with nearly twice higher odds of cognitive impairment (OR: 1.88; 95% CI: 1.18, 2.97) in urban conurbations but 20% lower odds in rural areas (OR: 0.80; 95% CI: 0.57, 1.11). LIMITATIONS: The causal direction could not be fully determined due to the cross-sectional nature of the data. The visual nature of the environmental assessment tool means it likely does not fully capture features related to the availability of local support services, or opportunities for social participation and interaction.

conclusionsThe quality of micro-scale environment appears to be important to mental health in older people. Interventions may incorporate the environmental aspect to reduce cognitive and common mental disorders.

Indexed as

EnvironmentSocial EnvironmentAgedAged, 80 and overAgingAnxietyCognition DisordersCross-Sectional StudiesDementiaDepressionEnglandFemaleHumansLogistic ModelsMaleMental DisordersAnxietyCognitive disorderDepressionEnvironmentNeighbourhoodOlder age

Identifiers

PMID28499210
PMCPMC5478740

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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.