Evidence map›Paper›PMID 38028706›Full record

ArticleHealth science reports2023

Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross-sectional study.

Angela Arthur, Anthony Mensah-Asamoah, Eleazer Kofi Mensah Brown, Anita Kabuki Ocansey, Prince De-Gaulle Deku, Monday Omoniyi Moses

Abstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Individual Work Attitudes and Work Ability.European journal of investigation in health, psychology and education · 2025
    Article
  4. Article
  5. Article
  6. 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

6 authors.

Angela ArthurDepartment of Physiotherapy and Sport Science, Faculty of Allied Health Sciences, College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana.
Anthony Mensah-AsamoahDepartment of Physiotherapy and Sport Science, Faculty of Allied Health Sciences, College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana.
Eleazer Kofi Mensah BrownDepartment of Physiotherapy and Sport Science, Faculty of Allied Health Sciences, College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana.
Anita Kabuki OcanseyDepartment of Physiotherapy and Sport Science, Faculty of Allied Health Sciences, College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana.
Prince De-Gaulle DekuDepartment of Physiotherapy and Sport Science, Faculty of Allied Health Sciences, College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana.
Monday Omoniyi MosesDepartment of Physiotherapy and Sport Science, Faculty of Allied Health Sciences, College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana.ORCID 0000-0001-5785-9551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Understanding the correlation of work ability (WA) and anthropometric indices with cardiovascular diseases (CVDs) risk factors among public sector employees (PSE) is vital for policy direction. This study examined the correlation between work ability, anthropometric indices, and cardiovascular risk factors among PSEs. Methods: The cross-sectional study had 254 (mean age = 37.18 ± 10.34) PSE. A self-reported WA index was used to measure WA. Blood pressure (BP), body mass index (BMI), waist circumference (WC), hip circumference (HC), waist to hip ratio (WHR), and visceral fat were measured. Lifestyle CVDs risk history was also obtained. Results: 3.9% had moderate, 51.2% good, and 44.9% excellent WA. 37.4% overweight, 20.1% obese, 19.7% hypertension history, 67.7% no physical activity history. WA correlates with increased systolic BP, BMI, WC, WHR, weight to height ratio, and visceral fat significantly. Age 24-29 (aOR = 26.38), 30-39 (aOR = 7.52), and 40-49 (aOR = 4.94) independently predict excellent WA. Overweight (aOR = 0.44) independently predict decreased excellent WA. Conclusion: Participants were hypertension-prone, had increased WC, WHR, physically inactive, overweight, and obese. WA and anthropometric indices of the participants predict CVDs risks. Workplace health care strategy should be put in place to control BP, BMI, WC, WHR, weight to height ratio, and visceral fat as CVDs risk factors.

Indexed as

blood pressurebody mass indexpublic sector employeesweight to hip ratiowork ability

Identifiers

PMID38028706
PMCPMC10663432

What OpenQuestion holds

Textmetadata
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.