Factors Influencing Psychological Distress During the COVID-19 Pandemic in People Aging with HIV
Bibliographic record
Abstract
Older adults living with HIV may be at increased risk of experiencing distress during the coronavirus disease 2019 (COVID-19) pandemic. We took advantage of a cohort study in older adults living with HIV in Canada (The Positive Brain Health Now [+BHN]) to study the psychological impact of the first wave of the COVID-19 pandemic. A longitudinal study was conducted in which participants in the +BHN study who had access to the internet and agreed to be contacted were queried on symptoms of psychological distress and its predictors each week between mid-April and the end of June 2020. Evolution of distress, measured with the Hospital Anxiety and Depression Scale (HADS), was modeled using Group Based Trajectory Analysis and logistic regression was used to identify factors predictive of psychological distress in the clinical range. The study was approved by the Research Ethics Board of the McGill University Health Center and all participants provided informed consent. The 77 +BHN participants who took part in this study were mostly men (92%) and on average 57.3 years of age. Over the study period, 32.5% experienced psychological distress in the clinical range at one or more weekly surveys. In the transition between the pre-COVID-19 and the COVID-19 periods, the HADS scores followed five distinct trajectories: (1) 39.5 % of the sample, with normal HADS scores in the several months preceding the pandemic, experienced an increase in HADS scores; (2) 30.6% of the sample had normal prepandemic HADS scores, remained stable; and (3) 29.9%, with prepandemic presence of distress, had a decrease in HADS scores. During the first wave of COVID-19, some attenuation in distress was seen over time. Feeling lonely and financial insecurity were associated with distress. Presence of psychological distress during the first wave of the COVID-19 pandemic was not universal among older adults with HIV, with as many as one third of the participants reporting an improvement in mental health. Distress was predicted by loneliness and financial insecurity.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".