Evidence map›Paper›PMID 38771867›Full record

ArticlePloS one2024

Multiple job holding, working hours, and hypertension by race/ethnicity and sex.

Caryn N Bell, Carlos D Tavares, Jessica L Owens-Young

Abstract read
In one paragraph

Article in PloS one, 2024. 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. 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.

Caryn N BellDepartment of Social, Behavioral and Population Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America.ORCID 0000-0001-8392-3721
Carlos D TavaresDepartment of Anthropology and Sociology, Lafayette College, Easton, PA, United States of America.ORCID 0000-0001-9888-645X
Jessica L Owens-YoungDepartment of Health Studies, American University, Washington, DC, United States of America.ORCID 0000-0002-6199-3857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of Americans with multiple jobs is increasing and multiple jobholders work more hours per week. However, the associations between multiple jobholding and hypertension are unknown. The aim of this study was to examine the associations of multiple jobholding with hypertension and determine whether weekly working hours moderated this association. Data from the 2015 National Health Interview Survey on adults (age ≥18 years) were used and included participants who self-identified as non-Hispanic Asian, non-Hispanic Black, Hispanic, or non-Hispanic White in the U.S. (n = 16,926), The associations of multiple jobholding with self-reported hypertension by sex were assessed using modified Poisson regressions. Both the number of working hours per week and race/ethnicity were assessed as moderators using multiplicative interaction terms. Multiple jobholding was not associated with hypertension among women. However, there was a significant three-way interaction such that multiple jobholding was associated with hypertension among non-Hispanic Black men who worked ≥55 hours per week (relative risk = 1.02, 95% confidence interval = 1.01-1.05). The results suggest that the associations between multiple jobholding, number of working hours, and hypertension should be examined at the intersection of race/ethnicity and sex. Future studies should further characterize multiple jobholding and hypertension among non-Hispanic Black men.

Indexed as

EmploymentHypertensionAdolescentAdultAgedAsianBlack or African AmericanEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedSex FactorsUnited StatesWhite

Identifiers

PMID38771867
PMCPMC11108192

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.