The Association between Change in Lifestyle Behaviors and Mental Health Indicators in Immunosuppressed Individuals during the COVID-19 Pandemic
Bibliographic record
Abstract
Little is known on how changes in lifestyle behaviors affect mental health among immunosuppressed individuals who observed stricter physical and social distancing measures due to higher risk of complications during the COVID-19 pandemic. This study examines the association between changes in moderate-to-vigorous physical activity (MVPA), sedentary time (ST) and sleep duration following COVID-19 outbreak on mental health indicators of immunosuppressed individuals and their relatives. Participants (n = 132) completed an online questionnaire between May and August 2020. Linear regressions were conducted to assess the associations between an increase or decrease in lifestyle behaviors and mental health indicators. Individuals with decreased MVPA and increased ST experienced higher distress, anxiety and depressive symptoms. Those who reported an increase or decrease in sleep had higher levels of stress, distress and depressive symptoms. Decreases in sleep was associated with higher anxiety symptoms. Lifestyle behaviors in the context of a stressful life event such as the COVID-19 pandemic may impact mental health indicators of immunosuppressed individuals and their relatives.
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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 | 0.002 |
| 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 | 0.001 |
| 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 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".