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

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...

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Autores principales: Arthur, Angela, Mensah‐Asamoah, Anthony, Brown, Eleazer Kofi Mensah, Ocansey, Anita Kabuki, Deku, Prince De‐Gaulle, Moses, Monday Omoniyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663432/
https://www.ncbi.nlm.nih.gov/pubmed/38028706
http://dx.doi.org/10.1002/hsr2.1728
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author Arthur, Angela
Mensah‐Asamoah, Anthony
Brown, Eleazer Kofi Mensah
Ocansey, Anita Kabuki
Deku, Prince De‐Gaulle
Moses, Monday Omoniyi
author_facet Arthur, Angela
Mensah‐Asamoah, Anthony
Brown, Eleazer Kofi Mensah
Ocansey, Anita Kabuki
Deku, Prince De‐Gaulle
Moses, Monday Omoniyi
author_sort Arthur, Angela
collection PubMed
description 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.
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spelling pubmed-106634322023-11-21 Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross‐sectional study Arthur, Angela Mensah‐Asamoah, Anthony Brown, Eleazer Kofi Mensah Ocansey, Anita Kabuki Deku, Prince De‐Gaulle Moses, Monday Omoniyi Health Sci Rep Original Research 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. John Wiley and Sons Inc. 2023-11-21 /pmc/articles/PMC10663432/ /pubmed/38028706 http://dx.doi.org/10.1002/hsr2.1728 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Arthur, Angela
Mensah‐Asamoah, Anthony
Brown, Eleazer Kofi Mensah
Ocansey, Anita Kabuki
Deku, Prince De‐Gaulle
Moses, Monday Omoniyi
Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross‐sectional study
title Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross‐sectional study
title_full Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross‐sectional study
title_fullStr Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross‐sectional study
title_full_unstemmed Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross‐sectional study
title_short Work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: Cross‐sectional study
title_sort work ability and anthropometric indices correlate with cardiovascular risk factors in public sector employees: cross‐sectional study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663432/
https://www.ncbi.nlm.nih.gov/pubmed/38028706
http://dx.doi.org/10.1002/hsr2.1728
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