Interrelationships among body composition, nutrient intake, physical activity, medical management and glycemic control in children with type 1 diabetes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
'Objective'. To investigate if children with type 1 diabetes, compared to those without, had higher weight for height, higher fat mass, and/or a more central fat distribution, and to examine the relationship of these variables with age, nutrient intake, physical activity, medical management and glycemic control. 'Study design'. Females (n = 27) and males (n = 24) with type 1 diabetes, were compared to control females (n = 34), and males (n = 34), between the ages of 8 and 17 years, for weight, height, body mass index (BMI), percent total and regional body fat in a cross-sectional design. Weight and height were corrected to age by calculating Z-scores using the 1977 National Centre for Health Statistics data set; Body Mass Index (BMI) was calculated as kg/m2 and as Z-scores using data complied by Rosner et al (1998). Nutrient Intake was assessed using one 24 hour recall interview and one 3 day food record. Physical activity was determined using a questionnaire and clinical information for children with diabetes was taken from the medical chart. Relationships among body composition, nutrient intake, physical activity, medical management and glycemic control were examined with correlation and linear regression. (Abstract shortened by UMI.)
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.
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) | 0.000 | 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 it