Associations between lifestyle change during the COVID-19 pandemic and mental health in adolescents
Bibliographic record
Abstract
Abstract Background It is unclear whether changes in physical activity or sugar consumption during the COronaVIrus Disease (COVID)-19 pandemic relate to later mental health among adolescents. This study identified profiles of change in physical activity and sugar consumption during the COVID-19 pandemic, and estimated associations between these profiles and later anxiety, depression and wellbeing among adolescents. Methods Data were from the EXIST cross-sectional pilot study conducted in schools in northeastern France, one year after the end of the first lockdown (May-June 2021). Adolescents provided data on lifestyle behavior changes during lockdown and mental health using self-report questionnaires. We used latent class analysis to identify profiles of change in physical activity and sugar consumption, and conducted multinomial logistic regression to estimate associations between these profiles, and mental health. Results Among 380 adolescents (52.5% male; 13.5±0.6 years), we identified four change profiles: 1) “increased physical activity and decreased sugar consumption” (21.8%), 2) “physical activity and sugar consumption stable over time” (36.1%), 3) “decreased physical activity and increased sugar consumption” (28.4%), and 4) “consistently low physical activity and stable sugar consumption over time” (13.7%). Compared to adolescents in profile 1, odds of depression one year after the end of the first lockdown were higher among adolescents in profile 3 (OR [95%CI]= 2.42[1.17; 4.99]) and profile 4 (OR = 3.16; [1.39; 7.19]). Associations were similar for wellbeing, but profiles were unrelated to anxiety. Conclusions Unhealthy changes in physical activity and sugar consumption during the COVID-19 pandemic may have contributed to deteriorating later mental health of adolescents. Future studies should assess long-term effects of the pandemic on physical activity and sugar consumption, and whether any long-term changes are associated with adolescent mental health. Key messages • A total of 42% of adolescents experienced unhealthy changes in physical activity and sugar consumption during the COVID-19 pandemic. • Unhealthy changes in physical activity and sugar consumption during the COVID-19 pandemic may have contributed to deteriorating later mental health of adolescents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".