Evidence map›Paper›PMID 38077247›Full record

ReviewSSM - population health2024

Exploring the labour market outcomes of the risk factors for non-communicable diseases: A systematic review.

Debapriya Chakraborty, Daphne C Wu, Prabhat Jha

Abstract readReview
In one paragraph

Review in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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.

Debapriya ChakrabortyCentre for Global Health Research, Unity Health Toronto, University of Toronto, Canada.
Daphne C WuCentre for Global Health Research, Unity Health Toronto, University of Toronto, Canada.
Prabhat JhaCentre for Global Health Research, Unity Health Toronto, University of Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To look at the associations between labour market outcomes and major risk factors for non-communicable diseases (NCDs) (smoking, heavy alcohol consumption), key metabolic changes resultant of the risk factors (overweight and obesity, hypertension, type 2 diabetes), and major depressive disorder, and examine any gender differences. Design: Systematic review of cohort and longitudinal studies, to establish causality between exposures and outcomes. Methods: A systematic literature search was conducted in MEDLINE (Ovid), Embase (Ovid), EconLit (EBSCO), EconPapers, and Cochrane Database of Systematic Reviews, from inception to July 2022 for all peer-reviewed literature published, guided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) framework. Results: 109 studies were eligible for this review. All studies were published in English. 96% of the studies were conducted in high-income countries with 63% from Europe and Central Asia. High BMI was the most frequently reported exposure (reported by 46% of the studies), while income was the most studied outcome (reported by 33% of studies). Though not all estimates presented in the literature can be interpreted as causal impacts, 77% of the studies reported significant (p < 0.05) adverse associations between the exposures and outcomes. Conclusions: All of the studies included in this review that looked at plausible causal relationships between NCD risk factors and labour market outcomes were from high-income and upper-middle-income countries (USA, northern European countries, and South Korea). Based on these studies, we found that individuals with overweight or obesity, diabetes, hypertension, depressive disorders, excessive alcohol use, and cigarette use are more likely to have lower rates of employment, lower income, and higher rates of sickness absence and disability pension.

Identifiers

PMID38077247
PMCPMC10698265

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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.