Evidence map›Paper›PMID 26922299›Full record

ArticleEuropean journal of public health2016

Local area unemployment, individual health and workforce exit: ONS Longitudinal Study.

Emily T Murray, Jenny Head, Nicola Shelton, Gareth Hagger-Johnson, Stephen Stansfeld, Paola Zaninotto, Mai Stafford

Abstract read
In one paragraph

Article in European journal of public health, 2016. 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.

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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

7 authors.

Emily T MurrayDepartment of Epidemiology and Public Health, University College London, London, UK emily.murray@ucl.ac.uk.
Jenny HeadDepartment of Epidemiology and Public Health, University College London, London, UK.
Nicola SheltonDepartment of Epidemiology and Public Health, University College London, London, UK.
Gareth Hagger-JohnsonAdministrative Data Research Centre England (ADRC-E), University College London, London, UK.
Stephen StansfeldCentre for Psychiatry, Wolfson Institute of Preventive Medicine, Queen Mary University of London, UK.
Paola ZaninottoDepartment of Epidemiology and Public Health, University College London, London, UK.
Mai StaffordMedical Research Council Unit for Lifelong Health and Ageing at University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn many developed countries, associations have been documented between higher levels of area unemployment and workforce exit, mainly for disability pension receipt. Health of individuals is assumed to be the primary driver of this relationship, but no study has examined whether health explains or modifies this relationship.

methodsWe used data from 98 756 Office for National Statistics Longitudinal Study members who were aged 40-69 and working in 2001, to assess whether their odds of identifying as sick/disabled or retired in 2011 differed by local authority area unemployment in 2001, change in local area unemployment from 2001 to 2011 and individual reported health in 2001 (self-rated and limiting long-term illness).

resultsHigher local area unemployment and worse self-rated health measures in 2001 were independently related to likelihood of identifying as sick-disabled or retired, compared to being in work, 10 years later, after adjusting for socio-demographic covariates. Associations for local area unemployment were stronger for likelihood of identification as sick/disabled compared to retired in 2011. Associations for changes in local area unemployment from 2001 to 2011 were only apparent for likelihood of identifying as retired. For respondents that identified as sick/disabled in 2011, effects of local area unemployment in 2001 were stronger for respondents who had better self-rated health in 2001.

conclusionsStrategies to retain older workers may be most effective if targeted toward areas of high unemployment. For persons in ill health, local area unemployment interventions alone will not be as efficient in reducing their exit from the workforce.

Indexed as

Health StatusAdultAgedEnglandFemaleHumansLongitudinal StudiesMaleMiddle AgedPersons with DisabilitiesRetirementRisk FactorsSick LeaveUnemploymentWales

Identifiers

PMID26922299
PMCPMC4884329

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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.