The Effectiveness of Wellness Programs within Police Departments at Addressing Police Officer Health
Bibliographic record
Abstract
PURPOSE: This study identifies the wellness services offered through various West Michigan police departments and the extent to which they meet the needs of police department staff. SUBJECTS: Eight different departments across two counties in West Michigan, Kent and Ottawa, were the study participants. METHODS AND MATERIALS: A 33-quesstion survey was administered and asked questions related to physical fitness, stress management, mental health, nutrition and diet, alcohol and substance use, and overall wellness. ANALYSES: The data from the surveys was analyzed using descriptive statistics. Percentages were used to summarize the data. RESULTS: Results indicated that police departments offer services in stress management and mental health, but physical fitness, nutrition and diet, and alcohol and substance use services/programs are not as prevalent. Results also showed that most departments do not have a comprehensive wellness program that offers service in five major areas of health: physical fitness, stress management, mental health, alcohol and drug use, and nutrition and diet. CONCLUSIONS: The role of public health is to create local awareness in the areas that are currently lacking in West Michigan police departments: physical fitness, nutrition and diet, and alcohol and substance use. Future research should focus on the impacts of implementing services/programs in the five areas of health that were assessed in this study. Results could increase the understanding and importance of the impact of implementing comprehensive wellness programs among a population that desperately needs support in multiple areas of health.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".