Obesity negatively impacts lung function in children and adolescents
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
OBJECTIVES: To investigate the relationship between weight status (body mass index [BMI] percentile and BMI z-score) and lung volumes in healthy children and adolescents. HYPOTHESES: We hypothesized that: (a) there would be a significant inverse relationship between age- and sex-specific BMI distribution and functional residual capacity (FRC), and expiratory reserve volume (ERV), respectively; and (b) obese children would have significantly reduced FRC and ERV compared to their non-obese peers. METHODS: The medical records of all individuals who successfully performed pulmonary function testing between 2000 and 2007 at two university children's hospitals were reviewed. Participants were excluded if they had cardiopulmonary, neuromuscular, or chest wall disease. RESULTS: Of 1,469 record reviewed, 327 subjects met study criteria. Percent predicted ERV was lowest in the obese group (P < 0.001) while residual volume (RV) was lowest in the overweight and obese groups (P < 0.001). Underweight participants had a lower percent predicted forced vital capacity (FVC) (P = 0.027) and vital capacity (VC; P = 0.039). Obese participants had the lowest FEV1 /FVC (P < 0.001). A positive linear relationship existed between BMI z-score and percent predicted FVC, VC, and diffusing capacity of carbon monoxide (DLCO ). A negative linear relationship was found between BMI z-score and percent predicted FRC, ERV, RV, and absolute FEV1 /FVC. CONCLUSIONS: Our results show that increasing weight status in children and adolescents is associated with a general reduction in lung volume measurements, which may reflect impaired lung function, increased respiratory symptoms, and decreased functional status.
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