Abstract P1147: Psychological well-being: an asset for healthy lifestyles in young adults and primordial prevention later in life
Bibliographic record
Abstract
Objective: Growing evidence suggests that higher levels of psychological well-being indicators (e.g., emotional vitality, positive mental health) are related to lower cardiometabolic risk. Healthy lifestyle habits (e.g., physical activity) may underpin this association. However, most studies evaluating the association between psychological well-being indicators and lifestyle habits are cross-sectional, precluding temporal sequence of events. Moreover, although such habits are typically established in early adulthood, prior research has been undertaken mainly in midlife or older adults. Finally, past studies usually consider habits separately despite their tendency to cluster and have interactive effects on long-term health. The current study assessed the longitudinal association of emotional vitality and positive mental health with the likelihood of adopting an overall healthy lifestyle among young adults in Canada. Methods: Participants (N=799) from the Nicotine Dependence in Teens Study completed items to derive the emotional vitality score in 2011-12 (mean age: 24.1 years) and a validated positive mental health scale in 2017-20 (mean age: 30.6 years). Data on smoking, sleep, physical activity, alcohol intake, and diet quality were collected in 2011-12, 2017-20, and 2020-21 (mean age: 33.6 years) and used to create a composite lifestyle score. The associations of interest were modeled using logistic regressions adjusting first for baseline sociodemographic factors, health status (e.g., BMI), and depression (Model 1), and then including baseline lifestyle (Model 2). Effect modification by sex was examined. Results: In Model 1, a 1-standard deviation increase in emotional vitality (OR=1.28, 95%CI=1.06-1.54) and positive mental health (OR=1.31, 95%CI: 1.02-1.68) was related to a greater likelihood of a healthy lifestyle 4-10 years later. In Model 2, the findings were robust for positive mental health but the confidence intervals for emotional vitality included the null. Sex did not modify these associations. When considering habits separately, emotional vitality and positive mental health were both related to healthy diets and sleep, but not with the other habits. Conclusions: Both emotional vitality and positive mental health may have beneficial effects on lifestyle. They should be considered when developing primordial prevention strategies that aim to promote healthy lifestyles in young adults, to contribute to cardiometabolic health over the life course.
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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".