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ORIGINAL RESEARCH article

Front. Public Health
Sec. Aging and Public Health
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1412547

Lifestyle trajectories in middle-aged adults and their relationship with health indicators

Provisionally accepted
Alba Roca-Ventura Alba Roca-Ventura 1,2,3*Javier Solana-Sánchez Javier Solana-Sánchez 1,4,5Gabriele Cattaneo Gabriele Cattaneo 1,4,5Jose M. Tormos Jose M. Tormos 1,4,5,6Alvaro Pascual-Leone Alvaro Pascual-Leone 7,8David Bartrés-Faz David Bartrés-Faz 1,2,9
  • 1 Neurorehabilitation Hospital, Guttmann Institute, Badalona, Catalonia, Spain
  • 2 Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Catalonia, Spain
  • 3 Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Hospital Germans Trias i Pujol, Badalona, Spain
  • 4 Autonomous University of Barcelona, Barcelona, Catalonia, Spain
  • 5 Fundació Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Hospital Germans Trias i Pujol, Barcelona, Balearic Islands, Spain
  • 6 Catholic University of Valencia San Vicente Mártir, Valencia, Valencian Community, Spain
  • 7 Hinda and Arthur Marcus Institute for Aging Research, Harvard Medical School, Roslindale, Massachusetts, United States
  • 8 Department of Neurology, Harvard Medical School, Boston, Massachusetts, United States
  • 9 August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Catalonia, Spain

The final, formatted version of the article will be published soon.

    Understanding the impact of diverse lifestyles on health preservation and disease risk is crucial for effective interventions. In this study, lifestyle engagement over five years was analyzed 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. 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 (p<0.001). In contrast, profiles with risky habits showed distinct risks for psychiatric, neurological, and cardiovascular diseases. Participant's trajectories in lifestyles remained relatively stable over time. Data-driven insights emphasize the importance of maintaining a healthy lifestyle, informing personalized interventions to enhance health outcomes in an aging society.

    Keywords: Health, lifestyles, clustering, joint trajectories, K-means, Multiple health behaviors, ageing. (Min

    Received: 05 Apr 2024; Accepted: 16 May 2024.

    Copyright: © 2024 Roca-Ventura, Solana-Sánchez, Cattaneo, Tormos, Pascual-Leone and Bartrés-Faz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Alba Roca-Ventura, Neurorehabilitation Hospital, Guttmann Institute, Badalona, 08916, Catalonia, Spain

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