Efficacy of a Multicomponent Physical Activity Intervention for Teachers With or At Risk of Type 2 Diabetes: The Support, Motivation, and Physical Activity Research for Teachers Health Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Type 2 diabetes is a major cause of illness and disability and physical activity reduces these risks. The SMART Health study aim was to compare the efficacy of a multicomponent intervention to promote aerobic physical activity and resistance training in schoolteachers at risk of or diagnosed with type 2 diabetes, with and without a technology-based behavior change package. METHODS: We randomized participants (N = 104) into 3 groups: "wait-list" control group, 5 face-to-face visits with a psychologist and exercise specialist (SH group), or 5 face-to-face visits over a 3-month period with a psychologist and exercise specialist, plus a technology-based behavior change package for an additional 6 months (SH+ group). Physical activity was the primary outcome (daily steps measured by pedometers). Systolic and diastolic blood pressure, waist circumference, body mass index, fasting blood glucose, glycosylated hemoglobin, plasma lipids, self-reported resistance training, anxiety and depression were also assessed at 3 and 9 months (primary time point). Linear mixed models were used to assess the intervention efficacy of SH and SH+ compared with wait-list control. RESULTS: There were no significant group-by-time effects for steps in the SH or SH+ groups compared to the wait-list control group. Self-reported participation in monthly minutes of resistance training significantly increased at 3-month postbaseline in both groups (SH: 136 min, P < .01, d = 0.33 and SH+: 145 min P < .001, d = 0.4) versus the control group. The improvements were maintained for the SH group at 9 months. There was also a meaningful effect (P < .06, d = -0.23) for reducing anxiety for SH group at 9 months. CONCLUSIONS: SMART Health was a feasible, multicomponent intervention, which increased self-reported resistance training but no other secondary outcomes.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".