Experience of fatigue and associated factors among adult people living with HIV attending ART clinic: a hospital-based cross-sectional study in Ethiopia
Bibliographic record
Abstract
OBJECTIVE: This study aimed to determine the prevalence of fatigue and the factors associated among adult people living with HIV attending antiretroviral therapy clinic in Gondar town, Ethiopia. DESIGN: Cross-sectional. SETTING: Governmental health facility that provides HIV care in Gondar town. OUTCOME MEASURE: Fatigue is defined by nine items version Fatigue Severity Scale. PARTICIPANTS: Adult (aged 18 and above) people living with HIV in Gondar town (n=392). RESULT: A total of 408 HIV seropositive adults were approached for consent, among which 392 participants consented to participate in this study, with a response rate of 96.1%. The mean age of the participants was 40.5±8.5 years. The prevalence of HIV-related fatigue was 53.3% and about 66% of women living with HIV experienced fatigue. The factors associated with fatigue experience were; female gender (adjusted OR (AOR): 2.61, 95% CI 1.01 to 5.3), being married (AOR: 0.18, 95% CI 0.10 to 0.9), low income (AOR: 7.1, 95% CI 4.6 to 22.15), unemployed (AOR: 2.79, 95% CI 1.19 to 9.84), parity (AOR: 4.87, 95% CI 2.18 to 17.9), being anaemic (AOR: 12.45, 95% CI 5.6 to 41.01), depression (AOR: 4.51, 95% CI 1.91 to 11.20), mild weight loss (AOR: 4.2 95% CI 2.56 to 13.9) and moderate weight loss (AOR: 5.1, 95% CI 1.85 to 16.12), respectively. CONCLUSION: The findings of this study revealed that experiencing fatigue is quite common among adult people living with HIV. It is important for the healthcare professionals and people living with HIV to understand; the possible causes of fatigue, remedies and ways to reclaim energy. The predisposing factors and complications that cause fatigue should be aggressively diagnosed and treated by the clinicians. Further qualitative studies exploring the reasons for experiencing HIV-related fatigue might help designing interventions.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".