Prevalence of Obesity and Associated Risk Factors amongst Teaching Staff of Juba University, South Sudan
Bibliographic record
Abstract
Obesity is a significant contributing factor in the development of various chronic diseases such as cardiovascular disease, hypertension, type 2 diabetes mellitus, stroke, osteoarthritis and certain cancer accounting for 2.8 million worldwide deaths annually. Recent global figures indicate that the prevalence of obesity is not just a problem of the developed countries but is also on the increase in the developing world, with over 115 million people suffering from obesity-related problems (WHO). In Africa, 8% of adults above 20 years are obese and 27% overweight (Steyn & Mchiza, 2014), Lack of empirical data remains an obstacle in monitoring the magnitude of current and future trends of overweight and obesity in sub Saharan Africa including South Sudan. This study investigated the prevalence of obesity and associated risk factors among teaching staff; a case at University of Juba in South Sudan (Rep). A cross-sectional study design was used. A total of 196 study participants drawn from various Colleges and faculties of Juba University using multi-stage systematic random sampling of 1st selecting the College, department and 2nd stage was the selection of participants using the exiting staff list obtained from the University administration. Key variables collected includes weight/kg, height, age, sex, physical activities, feeding habits and income of the study participants, which was used to determine the prevalence of obesity and associated risk factors. STATA version 12 was used to data analyze. Chi-square statistics were used to compare equality of distribution of obesity. Out of the 196 participants, 18.4% were males (160/196) and 81.6% were females (36/196). The mean age of the participant was estimated at 37 ± 8.5 years. Prevalence of Obesity (BMI> or=30) and Overweight (BMI >25 to <=30) among teaching staff was 4.1% and 10.2%, respectively. Of those found overweight/or obese, 20% were females (4/20) and 80% were males (16/20). While the age specific prevalence indicates obesity is highest among 35-44yrs (50%), followed by 45-55 yrs+ (37.5%) and 12.5% among 25-34yrs age groups. Age was found to be associated with obesity (P-value=0.0337, p<0.05)).Meal frequency was noted to be twice a day. Walking is the main physical activities for both males and females (97.5%) and nearly half of the participants (44.9%) had incomes 7500 South Sudan Pounds (SSP) an equivalent of $1000. Income levels was associated with BMI levels (P-value=0.0222; p<0.05). However, low prevalence of obesity among teaching staff at the University of Juba is not yet of an immediate public health concern, however, earlier preventive and control measures is required as most of the staff leads sedentary lifestyle. This study recommends public awareness intervention on dietary intake and physical exercises among others in schools and institutions at all levels to curtail an otherwise gradual rise in obesity and overweight in the near future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".