An examination of potential influences on the success of prediabetes service provision
Bibliographic record
Abstract
Introduction: Several national trials have demonstrated the efficacy of lifestyle interventions on decreasing the incidence of type 2 diabetes in adults with prediabetes. Behavior change pertaining to physical activity (PA) and diet were central to these lifestyle interventions; however it is likely a majority of adults with prediabetes are not currently meeting public health guidelines for PA and dietary intake. Little information is available on different influences of behavior central to prediabetes treatment. Given these findings, further investigation into potential influences on the efficacy of prediabetes service provision is warranted. Purpose: This dissertation aimed to explore prediabetes service provision to identify potential influences on PA and dietary intake in adults with prediabetes. Methods: The first study used Grounded Theory methodology to obtain opinions on necessary components of an optimal diabetes prevention program from health professionals’ (n=20) and adults with, or at high risk of, prediabetes (n=12). The second, third, and fourth studies involved individuals with prediabetes (N=232) in Northern Alberta, Canada. Participants completed a mailed survey assessing various demographic, health and behavior influences in August-September, 2008. Results: Data from Study 1 identified four influences on behavior change in adults with prediabetes: service provision, knowledge or confusion, motivational influences, and goal-setting. Potential strategies to increase effectiveness of prediabetes programs were also identified. In Study 2, individuals with prediabetes achieving PA guidelines (38%) reported higher physical and mental health-related quality of life compared to those not meeting PA guidelines. In Study 3, a number of preferences for PA and PA programming were identified. Activity status, health, and demographic variables all demonstrated significant influence on different PA preference variables. In Study 4, behavior-specific social cognitive theory constructs including self-efficacy, outcome expectations, and goal formation demonstrated significant associations with each other and PA, fat, and fibre intake. Conclusions: Evidence suggests it is possible to prevent or delay the progression of prediabetes to diabetes with small changes in body weight, physical activity and dietary intake. The results reported in this dissertation identified a number of factors that may influence potential success of a prediabetes program to promote behavior change and increase the public health impact of prediabetes prevention programs.
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 | 0.014 | 0.063 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".