ArticleFrontiers in public health2024
Lifestyle trajectories in middle-aged adults and their relationship with health indicators.
Article in Frontiers in public health, 2024. 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.
- Insomnia and associated pharmacological prescription in the adult population in primary care in Central Catalonia from 2018 to 2024.Family medicine and community health · 2026Observational
- Sex differences in the associations between lifestyle, intestinal permeability and brain health in middle-aged adults.Brain, behavior, & immunity - health · 2026Article
- Nonrestorative Sleep and Poor Self-Reported Physical and Mental Health among Middle-Aged Japanese Adults: A Cross-Sectional Study.JMA journal · 2026Article
- Community Health Perspectives on Middle-aged Adults Living Alone: A Scoping Review.Journal of community health · 2026Article
- How Cognitive Reserve Could Protect from Dementia? An Analysis of Everyday Activities and Social Behaviors During Lifespan.Brain sciences · 2025Article
- Health beliefs mediates the association between the number of non-communicable diseases and preventive behaviors in middle-aged and older adults in southern China.Aging clinical and experimental research · 2025Article
- Clustering on longitudinal lifestyle trajectories and their impact on cognitive performance.Frontiers in psychology · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Understanding the impact of different lifestyle trajectories on health preservation and disease risk is crucial for effective interventions. Methods: This study analyzed lifestyle engagement over five years in 3,013 healthy adults aged 40-70 from the Barcelona Brain Health Initiative using K-means clustering. Nine modifiable risk factors were considered, including cognitive, physical, and social activity, vital plan, diet, obesity, smoking, alcohol consumption, and sleep. Self-reported diagnoses of new diseases at different time-points after baseline allowed to explore the association between these five profiles and health outcomes. Results: The data-driven analysis classified subjects into five lifestyle profiles, revealing associations with health behaviors and risk factors. Those exhibiting high scores in health-promoting behaviors and low-risk behaviors, demonstrate a reduced likelihood of developing diseases ( Discussion: Our findings have identified risk for distinct diseases associated to specific lifestyle patterns. These results could help in the personalization of interventions based on data-driven observation of behavioral patterns and policies that promote a healthy lifestyle and can lead to better health outcomes for people in an aging society.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.