ArticleFrontiers in public health2026
Multifactorial determinants of health status: insights from the MEDIET4ALL large-scale survey on eco-sociodemographic, psychological, and lifestyle (diet, physical activity, and sleep) factors.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Lifestyle, Sleep, and Psychological Correlates of Social Participation Across Mediterranean and Neighbouring Countries: Findings from the MEDIET4ALL Survey.Healthcare (Basel, Switzerland) · 2026Article
- Article
- Targeting Reduced Glutathione (GSH) to Promote Metabolic Health: Insights on the Role of Bioactive-Rich Foods and Fasting Protocols.International journal of molecular sciences · 2026Review
- Sleep Characteristics and Insomnia Severity in Relation to Mediterranean Lifestyle Adherence and Psychosocial Wellbeing: Findings from the MEDIET4ALL International Survey.European journal of investigation in health, psychology and education · 2026Article
- Physical Activity and Sedentary Behaviour in the MEDIET4ALL Study: Associations with Mediterranean Lifestyle, Sleep, and Psychosocial Well-Being, with Mediation Analyses.Sports (Basel, Switzerland) · 2026Article
- Cross-country variability in Mediterranean lifestyle adherence and its psychosocial and behavioural correlates: insights from the MEDIET4ALL project across 10 Mediterranean and neighboring countries.Frontiers in nutrition · 2026Article
- Article
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41 authors.
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Abstract
Background: Non-communicable diseases are a growing public health challenge, shaped not only by biological predispositions but also by geo-demographic, socioeconomic, psychological, and lifestyle factors. A comprehensive understanding of these determinants is essential for developing targeted public health strategies. This study aimed to examine the multifactorial determinants of individual health status by analyzing geo-demographic, socio-economic, behavioral, psychological, and lifestyle variables. Methods: Data were collected from 4,010 participants (age: 37.2 ± 15.4 years; 59.5% female) across 10 Mediterranean and neighboring countries using the multinational MEDIET4ALL e-survey. Health status was categorized as healthy, at-risk, or with diseases. Multinomial logistic regression, Quade's Rank ANCOVA and series of multiple regression models were conducted. Results: Collectively, around 25% of respondents declared to be at-risk of or with known disease. BMI emerged as the strongest negative predictor of health status ( Conclusion: These findings highlight the complex interplay of lifestyle, mental health, and socio-environmental factors in determining health outcomes, while emphasizing the urgent need for multi-level public health interventions, including policies promoting physical activity, healthy eating, mental well-being, and equitable healthcare access. Future research should employ longitudinal designs to establish causal relationships and guides preventive strategies.
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