Evidence map›Paper›PMID 35668882›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2022

Depression and Diabetes in Workers Across the Life Span: Addressing the Health of America's Workforce-Behavioral Risk Factor Surveillance System, 2014-2018.

Harpriya Kaur, Juliann C Scholl, Michelle Owens-Gary

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
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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

3 authors at 1 institution in 1 country.

Harpriya KaurDivision of Science Integration, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH.ORCID https://orcid.org/0000-0003-2825-5585
Juliann C SchollDivision of Science Integration, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, OH.
Michelle Owens-GaryDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA.
Centers for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetes affects nearly 12.2% of U.S. adults. Comorbid depressive symptoms among U.S. workers with diabetes are associated with increased unemployment and reduced work performance. This study examined the age-group-specific prevalence of depression among U.S. workers with self-reported diabetes and identified factors associated with depression.

methodsData from the 2014-2018 Behavioral Risk Factor Surveillance System were used to examine the prevalence of depression among adult workers with diabetes in the United States. Relationships between depression prevalence and diabetes and demographic, physical, and behavioral risk factors were examined through bivariate and multivariable analyses. Age was categorized into four groups: 18-34, 35-54, 55-64, and ≥65 years.

resultsThe overall prevalence of self-reported depression among U.S. workers with diabetes was 17.4-30% higher than among those without diabetes. Workers with diabetes aged 18-34 years had the highest depression prevalence (28.7%) compared with other age-groups. Female workers with diabetes were significantly more likely than male workers to report depression in all age-groups. Young adult workers with diabetes who had another chronic disease were nearly three times more likely to report depression than those without another chronic condition. There were no overlapping patterns of prevalence of diabetes and depression by state.

conclusionWorkers with diabetes are at an increased risk of depression, which can affect their overall health and productivity. These findings indicate that, among those with diabetes, young adult workers and women are most likely to have depression. Employee wellness programs may address the specific needs of individuals with diabetes and depression.

Identifiers

PMID35668882
PMCPMC9160556
OpenAlexW3194044030

What OpenQuestion holds

Textmetadata
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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.