Modifiable determinants of central obesity among the rural black population in the DIMAMO HDSS, Limpopo, South Africa

Ntimana, Cairo B; Choma, Solomon

doi:10.3389/fpubh.2023.1165662

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…However, this could perhaps be due to the fact that majority of respondents in this study were single. The findings of this study go in line with a study done by (Ntimana & Choma, 2023) whereby Bivariate correlation analysis showed that married participants correlated positively and significantly with central obesity. Similarly, a study Bakir et al, (2017) reported that the mean Body mass indexes and other anthropometric measurements such as Waist circumference were significantly higher in married women.…”

Section: Anthropometric Status Of University Students Central Obesity...supporting

confidence: 91%

Dietary diversity and Anthropometric status of students at universities in Dodoma and Morogoro regions, Tanzania

Mgetta,

Muhimbula

2024

Tanzania J Hlth Res

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Background: Young adulthood is a transitional period that provides an opportunity to influence immediate and future eating behavior and good nutritional status. As diets evolve during young adulthood due to changes in circumstances and the introduction of new influences, young adults are a significant population group to influence future eating behaviours and prevent the development of NCDS. There is scanty information on the relationship between dietary diversity and the nutritional status of university students in Tanzania. This study aimed to find the synergy between university students' anthropometric status and dietary diversity in Morogoro and Dodoma regions of Tanzania. Methods: This cross-sectional study involved 247 University students in Morogoro and Dodoma regions (130 from Mzumbe University and 117 from Saint John’s University) respectively. The two Universities were purposively selected from each region. Data on Dietary diversity was collected using food groups from DDS to obtain the dietary score of each student. Anthropometric measures such as weight, height and waist circumference were done to obtain the anthropometric status of the University students. Results: The descriptive cross-sectional study involved 247 University students. In comparative chi-square analysis, the association was found among different socio-demographic characteristics of the University students. The p-value < 0.05 was used to determine the association among the variables. Conclusion: In conclusion, university students are a vulnerable group in developing obesity/overweight due to the transitional stage. Being overweight and obese was associated with being female, increased age and being married. High dietary diversity was also linked with abdominal obesity. Factors that can help describe and understand the anthropometric status of university students have also been identified. These include years of study, religion, and university location. Therefore, efforts to adopt good lifestyle behaviours should be sensitized amongst this sub-population to reduce the risk of developing chronic diseases in the long run.

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Section: Anthropometric Status Of University Students Central Obesity...supporting

confidence: 91%

Dietary diversity and Anthropometric status of students at universities in Dodoma and Morogoro regions, Tanzania

Mgetta,

Muhimbula

2024

Tanzania J Hlth Res

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Prevalence and determinants of central obesity among adults 18–69 years in Kenya: a cross-sectional study

Nyakundi,

Okemwa,

Ngesa

et al. 2024

Preprint

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Background: Central obesity affects about 4 out of every 10 people globally, and it is a notable public health concern linked with premature morbidity and mortality. In Kenya, regional studies have approximated the prevalence to range from 37% to 50%. However, these studies have been done in specific regions or population groups, such as among urban residents or women. Therefore, we aimed to assess the general and sex specific prevalence and determinants of central obesity among adults in Kenya. Methods: An analysis of the prevalence and determinants of central obesity was assessed using data from the 2015 Kenya STEPwise survey on non-communicable diseases and injuries. We included a final sample of 4 003 participants. Participants' characteristics and prevalence of central obesity were described and summarized using frequencies and percentages. The bivariate and multivariate logistic regression were used to assess the determinants of central obesity. Results: The overall weighted prevalence of central obesity was 46.7% [95% confidence interval (CI): 43.2, 50.3], with women exhibiting a significantly higher prevalence compared to men (58.3% vs. 35.6%, p=0.001). Sex, age, household wealth index, and smoking were among the factors significantly associated with central obesity. Men had 66% lower odds of central obesity compared to women, while the risk increased with age, ranging from 1.6 to 4 times higher odds among those aged 30 to 39 and 50 to 69 years, respectively, compared to 18 to 29 year olds. Other predictors of central obesity were wealthier households and non-smoking. Conclusion: About half of the adult Kenyan population is centrally obese, with a higher prevalence among women than men. Kenya's policymakers should consider targeting high risk groups in this population to reduce the burden of central obesity.

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Sociodemographic Disparities in the Prevalence of Metabolic Syndrome in Rural South Africa: An Analysis of Gender, Age, and Marital, Employment, and Educational Status

Mashala,

Ntimana,

Seakamela

et al. 2024

Obesities

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Sociodemographic factors affect how metabolic syndrome (MetS) manifests and progresses. This study aimed to investigate the prevalence between MetS and sociodemographic factors among adult participants in the Dikgale HDSS. This was a comprehensive retrospective study where the records of 575 participants were meticulously evaluated. MetS was defined using a joint interim statement (JIS). The data were analyzed using the Statistical Package for SPSS, version 25. A chi-square test was used to compare proportions between groups, with Cramer’s V used to assess the strength of association. Logistic regression was used to determine the association between MetS and sociodemographic profiles. A p-value of less than 0.05 was considered statistically significant. The prevalence of MetS was 28.2% (females 33.3% vs. males 15.6%, p ≤ 0.001). In addition, logistic regression showed males to have lower odds of MetS as compared to females (OR = 0.36, 95% CI: 0.2–0.6, and AOR = 0.4, 95% CI: 0.2–0.6). The 55–60 age group had the highest proportion of affected individuals, and MetS was also more common among individuals with low educational attainment. In addition, on regression, the same association was observed. This study found sociodemographic disparities in MetS among rural adults, especially females, who had an increased risk of MetS, and participants with low educational attainment.

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Modifiable determinants of central obesity among the rural black population in the DIMAMO HDSS, Limpopo, South Africa

Cited by 3 publications

References 47 publications

Dietary diversity and Anthropometric status of students at universities in Dodoma and Morogoro regions, Tanzania

Dietary diversity and Anthropometric status of students at universities in Dodoma and Morogoro regions, Tanzania

Prevalence and determinants of central obesity among adults 18–69 years in Kenya: a cross-sectional study

Sociodemographic Disparities in the Prevalence of Metabolic Syndrome in Rural South Africa: An Analysis of Gender, Age, and Marital, Employment, and Educational Status

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