Prevalence of comorbid conditions pre-existing and diagnosed at a tertiary care pediatric weight management clinic
Bibliographic record
Abstract
BACKGROUND: Childhood obesity places individuals at risk for a multitude of physical and mental health problems. The aim of this study was to assess the prevalence of obesity related comorbidities diagnosed prior to and after attending a tertiary care pediatric weight management clinic. METHODS: A cross sectional retrospective chart review of patients 2-17 years old seen in the weight management clinic at Alberta Children's Hospital from May 2012 to May 2014. RESULTS: A total of 199 patients were included in the review. Comorbidity prevalences were: hypertension 6 (3%), prediabetes 11 (5.5%), type 2 diabetes 3 (1.5%), dyslipidemia 105 (52.8%), non-alcoholic fatty liver disease 31 (15.6%), asthma 45 (22.6%), obstructive sleep apnea 21 (10.6%), and polycystic ovarian syndrome (PCOS) 9 (12% of females ≥10 years at the first visit). Concerns related to depression and anxiety were present in 20 (10.1%) and 25 (12.6%) patients respectively. The majority of comorbidities were identified prior to joining the clinic. Conditions requiring more specialized tests, such as diabetes and PCOS, were more commonly identified after joining the clinic. CONCLUSIONS: These results give further insight into the prevalence of obesity-related comorbidities in overweight and obese children and adolescents, and demonstrate the importance of screening for these known comorbidities. It is important to have the resources and an experienced multi-disciplinary team to follow children and their families through treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".