The Impact of Exercise on Quality of Life, Physical Health, and Mental Health in Type 2 Diabetes Mellitus Patients: Meta-Analysis
Bibliographic record
Abstract
Background: Type 2 Diabetes Mellitus (T2DM) is a prevalent metabolic disorder that is common on a global scale. Effective management in addition to medication involves implementing lifestyle modifications, including regular exercise. This study aimed to analyze and estimate the impact of exercise on improving quality of life, physical health, and mental health in type 2 diabetes mellitus patients.Subjects and Method: This was a meta-analysis study using the PICO model which includes; P= type 2 diabetes mellitus patients; I= exercise; C= no exercise; and O= quality of life, physical health, and mental health. The articles obtained were from 2 databases, namely PubMed and ScienceDirect. Keywords used include “exercise” OR “physical activity” AND “quality of life” OR “physical health” OR “mental health” AND “type 2 diabetes mellitus” AND “randomized control trial”. The inclusion criteria of articles were a randomized control trial study design, publication year from 2018 to 2023, full-text, English language, and reported mean and standard deviation values. Data was analyzed using the PRISMA diagram and the Review Manager 5.3 application.Results: This meta-analysis consisted of 13 articles originating from Canada, Denmark, Egypt, Ghana, Iran, Saudi Arabia, Spain, Taiwan, Turkey, and USA. The total sample size was 755 type 2 diabetes mellitus patients. Exercises improved the quality of life (SMD= 0.66; CI 95%= 0.20 to 1.11; p= 0.005); physical health (SMD= 0.91; CI 95%= 0.53 to 1.29; p= 0.001) and mental health (SMD= 0.82; CI 95%= 0.25 to 1.39; p= 0.005) in type 2 diabetes mellitus patients.Conclusion: Exercise carried out regularly and measurably improves the quality of life, physical health, and mental health in type 2 diabetes mellitus patients. Keywords: Exercise, quality of life, physical health, mental health, type 2 diabetes mellitus.
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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 | 0.054 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".