ArticleScientific reports2023
Predicting wellbeing over one year using sociodemographic factors, personality, health behaviours, cognition, and life events.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review on the psychological factors behind vaccine hesitancy in the COVID-19 era.Frontiers in public health · 2025Pooled it
- More than mirror images: Health associations of transitions between formal and informal employment.SSM - population health · 2026Article
- Article
- Mapping Conditional Associations Among Wellbeing, Distress, Spirituality, and Yoga Practice: A Network Analysis.Healthcare (Basel, Switzerland) · 2026Article
- Population Well-Being in Mashhad: Mental Health Distribution and Demographic Gradients.Iranian journal of psychiatry · 2026Article
- Emotional regulation, economic predictors, and their influence on life satisfaction in Peruvian university students.Frontiers in psychology · 2026Article
- Association of the Big Five personality traits with cognitive decline: a 24-week multidomain intervention study.Frontiers in psychiatry · 2026Article
- Active night-time tweeting is associated with meaningfully lower mental wellbeing in a UK birth cohort study.Scientific reports · 2025Article
- Personality predicts internalizing symptoms and quality of life in police cadets: a comparison of artificial intelligence and parametric approaches.Health & justice · 2025Article
- Internal and external factors influencing Gen Z wellbeing.BMC public health · 2025Article
- Predicting Weight Control Intentions: An Extended Model of Goal-Directed Behavior.International journal of environmental research and public health · 2025Article
- Financial well-being and financial stress as predictors of overall well-being and life satisfaction among Peruvian workers.Frontiers in psychology · 2025Article
- Beyond the pandemic: physical activity and health behaviors as predictors of well-being among Filipino tertiary students.Frontiers in psychology · 2025Article
- Sources of stress in online learning scale: development and validation of an instrument to evaluate students' stressors associated with the online learning.Frontiers in psychology · 2025Article
- Article
- Health enhancing behaviors in early adolescence: an investigation of nutrition, sleep, physical activity, mindfulness and social connectedness and their association with psychological distress and wellbeing.Frontiers in psychiatry · 2024Article
- Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort.Nature. Mental health · 2024Article
- Structural equation modeling to estimate treatment adherence based on the light triad of personality and sense of coherence in patients with type-2 diabetes: examining the mediating role of psychological well-being.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Various sociodemographic, psychosocial, cognitive, and life event factors are associated with mental wellbeing; however, it remains unclear which measures best explain variance in wellbeing in the context of related variables. This study uses data from 1017 healthy adults from the TWIN-E study of wellbeing to evaluate the sociodemographic, psychosocial, cognitive, and life event predictors of wellbeing using cross-sectional and repeated measures multiple regression models over one year. Sociodemographic (age, sex, education), psychosocial (personality, health behaviours, and lifestyle), emotion and cognitive processing, and life event (recent positive and negative life events) variables were considered. The results showed that while neuroticism, extraversion, conscientiousness, and cognitive reappraisal were the strongest predictors of wellbeing in the cross-sectional model, while extraversion, conscientiousness, exercise, and specific life events (work related and traumatic life events) were the strongest predictors of wellbeing in the repeated measures model. These results were confirmed using tenfold cross-validation procedures. Together, the results indicate that the variables that best explain differences in wellbeing between individuals at baseline can vary from the variables that predict change in wellbeing over time. This suggests that different variables may need to be targeted to improve population-level compared to individual-level wellbeing.
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