Evidence map›Paper›PMID 32542463›Full record

ArticleSocial psychiatry and psychiatric epidemiology2021

Measures of mental health and addictions conditions show a U-shaped relationship with self-rated worker performance.

Angus H Thompson

Abstract read
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In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Angus H ThompsonInstitute of Health Economics, 1200, 10405 Jasper Avenue, Edmonton, AB, T5J 3N4, Canada. gthompson@ihe.ca.ORCID http://orcid.org/0000-0002-6910-222X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReports of a meaningful relationship between mental health-related conditions and work productivity measures are relatively common. These, however, are frequently examined for their linearity while ignoring untapped, and potentially rich, non-linear associations.

methodsFollowing a serendipitous finding of a curvilinear relationship between workplace presenteeism (lowered productivity while at work) and depression, an investigation was undertaken of the association between worklife prevalence measures of presenteeism (measured by the W.H.O. Health & Work Performance Questionnaire) and lifetime prevalence of twelve psychosocial vulnerabilities, encompassing mental health, mental health-related, and addictive conditions. Linear and quadratic (U-shaped) functions were calculated across the "relative" presenteeism measure (self vs. other workers) for each of the 12 conditions.

resultsA visual analysis revealed a U-shaped graphic function in all conditions, and excepting anxiety all were statistically significant. In general, increases beyond the lowest ("poorest") level of self-reported comparative productivity were associated with increases in psychosocial stability, but only as far as deemed equality. Beyond that, increases in self-confidence resulted in a reversal, thus returning to a higher level of vulnerability for the condition in question. A cursory scan of five relevant journals indicated that non-linear analyses were often possible, but rarely carried out.

conclusionsThis has informative value for our conceptualization of overconfidence, and it begs the question of whether an over-reliance on linear measures has caused us to overlook important curvilinear human relationships. The inclusion of analyses of non-linear functions is suggested as a matter of course for future studies.

Indexed as

Mental HealthPresenteeismAbsenteeismAnxietyCross-Sectional StudiesEfficiencyHumansSurveys and QuestionnairesWorkplaceAddictionMental healthNon-linearOverconfidencePresenteeism

Identifiers

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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.