Evidence map›Paper›PMID 42564293›Full record

ArticleHealth science reports2026

Association Between Dietary Patterns, Work Stress, Physical Activity, and Cardiometabolic Markers Among University Workers in Ghana: A Cross-Sectional Study.

Daniel Ayeltigah, Mary Amoako, Richard Oguah, Dorcas Kafui Ledi, Adwoa Gyamfi, Michael Akenteng Wiafe

Abstract read
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Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Daniel AyeltigahDepartment of Biochemistry and Biotechnology, Faculty of Biosciences, College of Science Kwame Nkrumah University of Science and Technology Kumasi Ghana.ORCID https://orcid.org/0009-0001-2796-1368
Mary AmoakoDepartment of Biochemistry and Biotechnology, Faculty of Biosciences, College of Science Kwame Nkrumah University of Science and Technology Kumasi Ghana.ORCID https://orcid.org/0000-0001-9387-2286
Richard OguahDepartment of Biochemistry and Biotechnology, Faculty of Biosciences, College of Science Kwame Nkrumah University of Science and Technology Kumasi Ghana.ORCID https://orcid.org/0009-0001-3402-3740
Dorcas Kafui LediDepartment of Biochemistry and Biotechnology, Faculty of Biosciences, College of Science Kwame Nkrumah University of Science and Technology Kumasi Ghana.
Adwoa GyamfiSchool of Nursing and Midwifery, College of Health Sciences Kwame Nkrumah University of Science and Technology Kumasi Ghana.ORCID https://orcid.org/0000-0001-7855-6672
Michael Akenteng WiafeDepartment of Dietetics, School of Allied Health Sciences University of Development Studies Tamale Ghana.ORCID https://orcid.org/0000-0003-3756-3037

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Emerging evidence highlight metabolic markers as key indicators of health status, linking subtle metabolic changes with the rising global rate of non-communicable diseases. Therefore, this study aimed to investigate the relationship between lifestyle and metabolic markers among university workers in Ghana. Methods: A cross-sectional design was employed. Data were collected from 94 participants (34 teaching, 60 non-teaching) via surveys and clinical measurements at the Kwame Nkrumah University of Science and Technology. Metabolic markers such as fasting blood glucose, cholesterol levels, abdominal obesity, and blood pressure were defined using the World Health Organisation cutoffs. Univariable logistic regression and multivariate models were adopted to analyse the association between lifestyle components and cardiometabolic markers. Results: Non-teaching staff reported higher work stress (Job Content Questionnaire = 73.3%), while teaching staff showed lower physical activity (76.5%). Three dietary patterns were identified: Indigenous Ghanaian, Westernised, and High Protein. The most prevalent metabolic markers were high abdominal obesity (52.1%) and elevated blood pressure (19.1%). In multivariable logistic regression adjusting for age, education, income and staff category, high protein diet was associated with high blood pressure (aOR = 1.869, 95% CI = 1.011-3.455, Conclusion: The results showed significant associations between some cardiometabolic markers and certain dietary patterns, while no significant association was found between work stress, physical activity, and cardiometabolic markers. The high prevalence of abdominal obesity and elevated blood pressure highlights the need for targeted workplace interventions. Based on border literature, workplace wellness programs aimed at reducing work stress and promoting physical activity while improving healthy diets will be beneficial to the staff.

Indexed as

cardiometabolic markersdietary patternsphysical activitywork stress

Identifiers

PMID42564293
PMCPMC13443126

What Socratic holds

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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 Socratic graph.