Short Leg Length, a Marker of Early Childhood Deprivation, Is Associated With Metabolic Disorders Underlying Type 2 Diabetes
Bibliographic record
Abstract
OBJECTIVE: Short leg length, a marker of early childhood deprivation, has been used in studies of the association of early life conditions with adult chronic disease risk. The objective of this study was to determine the cross-sectional associations of leg length with measures of insulin sensitivity and β-cell function. RESEARCH DESIGN AND METHODS: Subjects (n = 462) at risk for type 2 diabetes were recruited into the PROspective Metabolism and ISlet cell Evaluation (PROMISE) longitudinal cohort. Leg length was calculated from sitting and standing height at the 3-year clinical examination. Glucose tolerance status was determined using an oral glucose tolerance test. Insulin sensitivity was assessed using homeostasis model assessment of insulin resistance (HOMA-IR) and the Matsuda insulin sensitivity index (ISI), while the insulinogenic index over HOMA-IR (IGI/IR) and the insulin secretion sensitivity index 2 (ISSI-2) determined β-cell function. Multiple linear regression analysis was conducted, adjusting for covariates including age, sex, ethnicity, family history of diabetes, waist, and weight. RESULTS: Leg length and leg-to-height ratio were significantly associated with HOMA-IR (β = -0.037, β = -10.49, respectively; P < 0.0001), ISI (β = 0.035, β = 8.83, respectively; P < 0.0001), IGI/IR (β = 0.021, P < 0.05; β = 7.60, P < 0.01, respectively), and ISSI-2 (β = 0.01, P < 0.03; β = 3.34, P < 0.01, respectively) after adjustment for covariates. The association of shorter leg length with lower insulin sensitivity was most evident for those with high waist circumferences. CONCLUSIONS: Shorter legs were independently associated with lower insulin sensitivity and β-cell function, suggesting that early childhood deprivation may increase the risk of developing diabetes.
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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 | 0.001 |
| 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".