Empirical Analysis of Body Constitution and Food Intake in Persons with Type 2 Diabetes from a TCM Perspective
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Bibliographic record
Abstract
This study examined the correlations between body constitution (BC) and food intake in a sample of persons with Type 2 Diabetes (T2DM) from a perspective of traditional Chinese medicine (TCM). Past research on BC of persons with diabetes (DM) from a TCM perspective revealed imbalanced state of Yin and Yang in terms of Yin-deficiency (YID), Yang-deficiency (YAD), and Yin-Yang-deficiency (YYD). However, no studies have attempted to find out if daily food intake has an influence on Yin–Yang balance. The present study adapted a mixed method, which constituted of two phases. Phase one involved an exploratory case study (n=18) conducted between May and June 2011 and phase two, a descriptive correlation study (n=210) between October and December 2013. Results showed that in phase-one, three cases showed YID and higher food intake in hot/warm nature, 12 cases with YAD and higher food intake in cold/cool nature while three cases with Yin-Yang-deficiency (YYD) and extremely high food intake in cold/cool nature. In phase-two, Spearman’s correlation coefficient between food intake and YID presentations (YIDPs) (hot/warm food: rho=0.34, p=0.000; cold/cool food: rho= 0.18, p=0.006); YAD presentations (YADPs) (hot/warm food: rho=0.18, p=0.008; cold/cool food: rho=0.2, p=0.006); and YYD presentations (YYDPs) (hot/warm food: rho=0.29, p=0.006; cold/cool food: rho=0.2, p=0.003) have been noted. The findings concluded that persons with T2DM and YIDPs, YADPs, or YYDPs tend to have food intakes higher in hot/warm nature or cold/cool nature
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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 it