Antidepressant medication use and objectively measured physical activity and sedentary behaviors in adults: a cross-sectional analysis of a nationally representative sample of Canadian adults.
Bibliographic record
Abstract
Background: Antidepressant medication is one of the most prescribed medications among Canadians. This medication class has been previously associated with adverse effects. To date, far too little attention has been paid to physical activity (PA) and sedentary behaviors (SB) in adults using antidepressant medication. The study aims to compare objectively measured time in PA and SB behaviors in a population-based sample of adults using antidepressant medication compared to a group of adults not using any psychotropic medication, and to investigate whether these behaviors differ according to four antidepressant classes. Methods: We used representative data from the Canadian Health Measures Survey (2007–2013). Medication use was documented during an in-house visit. PA and SB were measured by accelerometer. We included 7680 participants aged 18 to 79 years. A set of weighted analyses of covariance with adjustments for sex, age, body-mass index, income, education level, season, smoking and marital status was conducted to compare mean differences in PA and SB variables between adults using antidepressants and controls. Results: The cross-sectional weighted prevalence of antidepressant use was 9.3%. Adults using antidepressants completed significantly fewer minutes of moderate to vigorous PA and steps daily compared to adults without psychotropic medication. Daily time spent in light PA and SB were not significantly different between both groups. Sensitivity analyses controlling for self-reported mental and physical health showed no significant difference except smaller time spent in moderate to vigorous PA in adults using SSRI antidepressants than control. Conclusion: Due to host of negative side effects associated with antidepressant usage and the present findings demonstrating lower levels of MVPA in those taking SSRIs, care providers should promote physical activity when prescribing this class of antidepressants.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".