Bibliographic record
Abstract
Background Obesity is a national and global public health problem in terms of morbidity, mortality, and economic burden. In 2014, 5% of deaths worldwide were attributable to obesity, with an estimated economic impact of 2.8% of the global gross domestic product. A survey in 2008 showed a high prevalence of overweight and obesity among adults in Jordan. Objective This study aimed to determine the prevalence of obesity, assess its trends, and identify the factors and comorbidities associated with this condition. Methods A multipurpose national household survey was conducted among Jordanian adults over 4 months in 2017. Data were collected using a structured validated questionnaire. Obesity was defined according to the International Diabetes Federation criteria. Results This study included 4056 adults (1193 men, 29.4%; 2863 women, 70.6%). Their age ranged from 18 to 90 years, with a mean age of 43.8 (SD 14.2) years. According to the International Diabetes Federation criteria, the age-standardized prevalence of obesity was 60.4% in men and 75.6% in women. After adjusting for age, the odds of obesity in 2017 were twice the odds in 2008 in men (odds ratio [OR] 1.98) and women (OR 1.96). In the multivariate analysis, age, place of living, and marital status were significantly associated with obesity in men and women. Obesity was significantly associated with increased odds of diabetes mellitus (OR 2.1 for men; OR 2.9 for women), hypertension (OR 2.4 for men; OR 2.5 for women), elevated triglyceride levels (OR 2.5 for men; OR 4.2 for women), and low high-density lipoprotein levels (OR 2.2 for men; OR 2.1 for women) after adjusting for age. Conclusions The prevalence of obesity is high in Jordan, and this condition is associated with other metabolic abnormalities. Well-defined programs to manage, control, and prevent obesity as well as intersectoral action are urgently required to reverse current trends in Jordan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".