Evidence map›Paper›PMID 38515106›Full record

ArticleBMC public health2024

Prevalence and risk factors of obesity among undergraduate student population in Ghana: an evaluation study of body composition indices.

Christian Obirikorang, Evans Asamoah Adu, Enoch Odame Anto, Anthony Afum-Adjei Awuah, Angela Nana Bosowah Fynn, George Osei-Somuah, Patience Nyarkoa Ansong, Alexander Owusu Boakye, Ivy Ofori-Boadu, Yaa Obirikorang and 3 more

Abstract read
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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

13 authors.

Christian ObirikorangDepartment of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana. krisobiri@gmail.com.
Evans Asamoah AduDepartment of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Enoch Odame AntoDepartment of Medical Diagnostics, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Anthony Afum-Adjei AwuahDepartment of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Angela Nana Bosowah FynnKumasi Centre for Collaborative Research, Kumasi, Ghana.
George Osei-SomuahDepartment of Medical Diagnostics, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Patience Nyarkoa AnsongDepartment of Nursing, Faculty of Health Sciences, Garden City University College, Kumasi, Ghana.
Alexander Owusu BoakyeDepartment of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
Ivy Ofori-BoaduDepartment of Medical Diagnostics, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Yaa ObirikorangDepartment of Nursing, Faculty of Health Sciences, Garden City University College, Kumasi, Ghana.
Austin Gideon Adobasom-AnaneKumasi Centre for Collaborative Research, Kumasi, Ghana.
Eric Ny NyarkoDepartment of Chemical Pathology, University of Ghana Medical School, University of Ghana, Accra, Ghana.
Lois BalmerCentre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Western Australia, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a classified risk factor for several of the world's leading causes of death. In this study, we combined information contained in body mass index (BMI), total percentage body fat (TPBF) and relative fat mass (RFM) to estimate obesity prevalence and examine the risk factors associated with obesity.

methodsThe study recruited 1027 undergraduate students aged between 16 and 25 years using a cross-sectional study design and two-stage stratified random sampling between January and April 2019 from the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Demographic, lifestyle, and family history of chronic disease data, were collected using a structured questionnaire. Bioelectrical impedance, along with height, weight, age, and gender, were used to estimate BMI and TPBF. The RFM was calculated using a published equation. The TPBF and RFM ranges were evaluated based on standard BMI thresholds and an informative combined obesity prevalence estimated in a Bayesian framework. Multiple logistic regression analysis was used to evaluate potential risk factors of overweight/obesity.

resultsConcordance between BMI, TPBF and RFM for obesity classification was 84% among female and 82.9% among male students. The Bayesian analysis revealed a combined prevalence means of obesity of 9.4% (95%CI: 6.9-12.2%) among female students and 6.7% (95%CI:4.3-9.5%) among male students. The odds of obesity were increased between 1.8 and 2.5 for females depending on the classification index. A significant increasing trend of obesity was observed with university-level. A family history of obesity was associated with a high estimate of general, central, and high TPBF.

conclusionUsing multiple adiposity indicators conjointly in a Bayesian framework offers a greater power to examine obesity prevalence. We have applied this and reported high obesity prevalence, especially among female students. University level and family history of obesity were key determinants for obesity among the student population.

Indexed as

Body CompositionObesityAdolescentAdultBayes TheoremBody Mass IndexCross-Sectional StudiesFemaleGhanaHumansMaleOverweightPrevalenceRisk FactorsStudentsYoung AdultAdiposityBody compositionObesityRisk factorsUndergraduate students

Identifiers

PMID38515106
PMCPMC10958924

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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.