The effect of a 12-week combinational exercise program on CD4 count and mental health among HIV infected women: A randomized control trial
Bibliographic record
Abstract
BACKGROUND/OBJECTIVE: There are conflicting results regarding the effects of exercise on immune function of HIV positive patients. Exercise can also be beneficial to psychological functioning of the patients. The purpose of this study was to determine the impact of a 12-week aerobic and resistance exercise training program on mental health and CD4 counts among female HIV+ patients. METHODS: This clinical trial was conducted between September and December 2013. Forty participants (women age range 20-40) were carefully selected from 240 HIV-positive women referred to Voluntary Counseling and Treatment Center (VCT) and randomly assigned to either exercise (80 min of aerobic and strength training while receiving the VCT's routine services) group (n = 20) or control (received the VCT's routine services only) group (n = 20). To assess their mental health status, all participants completed GHQ28 questionnaire. Blood samples were collected to measure CD4 and T-cell counts at baseline and at the end of the 12-week intervention. RESULTS: From a sample of 40 women with HIV infection, the data of 30 participants [experimental group (14) and control group (16)] were analyzed (participation rate 75%). The results indicated that after the intervention program, a significant difference in CD4 cell counts was found between the two groups (P = 0.01). With regard to mental health, after performing intervention, significant improvement in all subscales including anxiety disorder, social function, depression and mental health's total score was observed in the exercise compared to the control groups (P < 0.001). CONCLUSION: Exercise training can be included in health care services in order to improve the mental health status of women with HIV infection. No effect on CD4 count was detected.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".