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Obirikorang C, Adu EA, Anto EO, Afum-Adjei Awuah A, Fynn ANB, Osei-Somuah G, Ansong PN, Boakye AO, Ofori-Boadu I, Obirikorang Y, Adobasom-Anane AG, Nyarko EN, Balmer L. Prevalence and risk factors of obesity among undergraduate student population in Ghana: an evaluation study of body composition indices. BMC Public Health 2024; 24:877. [PMID: 38515106 PMCID: PMC10958924 DOI: 10.1186/s12889-023-17175-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/07/2023] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND Obesity 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. METHODS The 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. RESULTS Concordance 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. CONCLUSION Using 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.
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Affiliation(s)
- Christian Obirikorang
- Department of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.
- Kumasi Centre for Collaborative Research, Kumasi, Ghana.
| | - Evans Asamoah Adu
- Department of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
- Kumasi Centre for Collaborative Research, Kumasi, Ghana
| | - Enoch Odame Anto
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Western Australia, Australia
| | - Anthony Afum-Adjei Awuah
- Department of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
- Kumasi Centre for Collaborative Research, Kumasi, Ghana
| | | | - George Osei-Somuah
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Patience Nyarkoa Ansong
- Department of Nursing, Faculty of Health Sciences, Garden City University College, Kumasi, Ghana
| | - Alexander Owusu Boakye
- Department of Molecular Medicine, School of Medical Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
- Kumasi Centre for Collaborative Research, Kumasi, Ghana
| | - Ivy Ofori-Boadu
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Yaa Obirikorang
- Department of Nursing, Faculty of Health Sciences, Garden City University College, Kumasi, Ghana
| | | | - Eric Ny Nyarko
- Department of Chemical Pathology, University of Ghana Medical School, University of Ghana, Accra, Ghana
| | - Lois Balmer
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Western Australia, Australia
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Witaszek T, Babicki M, Brytek-Matera A, Mastalerz-Migas A, Kujawa K, Kłoda K. Maladaptive Eating Behaviours, Generalised Anxiety Disorder and Depression Severity: A Comparative Study between Adult Women with Overweight, Obesity, and Normal Body Mass Index Range. Nutrients 2023; 16:80. [PMID: 38201910 PMCID: PMC10780963 DOI: 10.3390/nu16010080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
(1) Background: Causes of obesity are multifactorial and include genetic predisposition as well as behavioural, psychological, social, and hormonal influences. We aimed to compare adult women with normal weight, overweight, and obesity, with a focus on maladaptive eating behaviours, the presence of generalised anxiety disorder, and the severity of depression. Additionally, we explored the context of anti-obesity pharmacotherapy and the status of bariatric surgery. (2) Methods: The sample was composed of 1105 adult women. The following measures, through the Computer-Assisted Web Interview (CAWI), were used in the present study: the Three Factor Eating Questionnaire (TFEQ-R18), the 7-item Generalised Anxiety Disorders Scale (GAD-7), and the 9-item Patient Health Questionnaire (PHQ-9). (3) Results: All domains of the TFEQ-R18 had correlations with Body Mass Index (BMI). There was a weak negative association between BMI and Cognitive Restraint (r = -0.172, p < 0.001) and a weak positive relationship between BMI and Uncontrolled as well as Emotional Eating (r = 0.165, p < 0.001; r = 0.191, p < 0.001, respectively). Women who screened positive for anxiety scored lower in the Cognitive Restraint domain (10.11 ± 3.58, p = 0.042) and higher in the Uncontrolled Eating (12.69 ± 6.04, p < 0.001) and Emotional Eating (5.29 ± 2.75, p < 0.001) domains. Similarly, women screening positive for depression had lower scores in Cognitive Restraint (9.88 ± 3.61, p < 0.001) and higher scores in Uncontrolled Eating (12.64 ± 6.09, p < 0.001) and Emotional Eating (5.31 ± 2.71, p < 0.001). A significant association between liraglutide and semaglutide administration and Cognitive Restraint was observed. (4) Conclusions: Individualised treatment for obesity should consider the existing and confirmed association between maladaptive eating behaviours and generalised anxiety disorder, as well as the severity of depression influencing the BMI altogether. The use of anti-obesity pharmacotherapy needs further exploration because the evidence for the use of liraglutide and semaglutide in terms of positive associations with eating behaviours is encouraging.
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Affiliation(s)
- Tomasz Witaszek
- Hipokrates Przychodnia Lekarzy Rodzinnych i Specjalistów, ul. Powstańców WIelkopolskich 1a, 64-330 Opalenica, Poland;
| | - Mateusz Babicki
- Department of Family Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland;
| | - Anna Brytek-Matera
- Eating Behavior Laboratory (EAT Lab), Institute of Psychology, University of Wroclaw, ul. J. Dawida 1, 50-527 Wrocław, Poland;
| | | | - Krzysztof Kujawa
- Statistical Analysis Centre, Wroclaw Medical University, 50-368 Wrocław, Poland
| | - Karolina Kłoda
- MEDFIT Karolina Kłoda, ul. Narutowicza 13E/11, 70-240 Szczecin, Poland;
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