Background: As the world's population ages, the prevalence of multiple chronic and non-chronic health-related conditions is increasing. Research on multimorbidity, the co-occurrence of two or more health-related conditions, has mainly involved patient and older populations. Its effect in working populations, presumably younger and healthier, is not well known but could conceivably affect sickness absence (SA) and ability to return to work.
Aims: To examine the effect of multimorbidity on the incidence and duration of SA episodes by frequent diagnostic groups.
Methods: A prospective study (in 2006-2008) of workers in Spain. Information on health-related conditions was gathered with a standardized questionnaire and used to construct a sex-specific multidimensional multimorbidity score (MDMS). In order to estimate the effect of MDMS on incidence and duration of SA episodes due to cardiovascular diseases (CVD), musculoskeletal disorders (MSD) and mental health disorders (MHD), we fitted Cox models adjusted by age, occupational social class and number of prior SA episodes for both sexes.
Results: The study population was 372370. Men with high MDMS showed a trend towards higher incidence risk for SA due to CVD and MSD [adjusted hazard ratio (aHR) = 2.03; 95% confidence interval (CI) 1.48-2.78 and aHR = 1.20; 95% CI 1.01-1.43, respectively]. Women showed a similar trend for MSD, but MHD had the strongest association (aHR = 4.78; 95% CI 1.97-11.62) for high MDMS. In both sexes, the effect of MDMS was strongest among those without a prior SA. No consistent associations with SA duration were observed.
Conclusions: Multimorbidity increased the risk of incident musculoskeletal, mental and cardiovascular SA episodes but not their duration.
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http://dx.doi.org/10.1093/occmed/kqw092 | DOI Listing |
BMC Complement Med Ther
January 2025
Department of Health Medicine and Caring Sciences, Linkoping University, Linköping, Sweden.
Background: Evidence about rehabilitation of post COVID-19 condition is scarce. Yoga has been found beneficial in other chronic conditions and can be delivered in a digital format at home. The aim of the study was to explore the feasibility of teleyoga in persons with post COVID-19 condition by assessing adherence, safety, limited efficacy and experiences.
View Article and Find Full Text PDFPsychol Health Med
January 2025
Department of Public Policy and Management, University of Georgia, Athens, GA, USA.
Self-rated health (SRH) is a significant predictor of future health outcomes. Despite the contribution of psychological factors in individuals' subjective health assessments, prior studies of machine learning-based prediction models primarily focused on health-related factors of SRH. Using the Midlife in the United States (MIDUS 2), the current study employed machine learning techniques to predict SRH based on a broad array of biological, psychological, and sociodemographic factors.
View Article and Find Full Text PDFObjective: To investigate the factors associated with hypercholesterolemia in older adults residing in a small municipality in northeastern Brazil.
Methods: This is a population-based cross-sectional epidemiological study conducted with 232 older adults (women: 58.60%; men: 41.
Front Public Health
January 2025
AstraZeneca SpA, Milano Innovation District (MIND), Milano, Italy.
Background: Software as a Medical Device (SaMD) and mobile health (mHealth) applications have revolutionized the healthcare landscape in the areas of remote patient monitoring (RPM) and digital therapeutics (DTx). These technological advancements offer a range of benefits, from improved patient engagement and real-time monitoring, to evidence-based personalized treatment plans, risk prediction, and enhanced clinical outcomes.
Objective: The systematic literature review aims to provide a comprehensive overview of the status of SaMD and mHealth apps, highlight the promising results, and discuss what is the potential of these technologies for improving health outcomes.
Health Serv Res
January 2025
Department of Epidemiology and Population Health, Stanford University, Palo Alto, California, USA.
Objective: To assess mental health related outcomes of Recipe4Health, a multisectoral social care partnership implementing produce prescriptions with or without group medical visits (GMVs).
Study Setting And Design: Recipe4Health was implemented at five community health centers from 2020 to 2023. Primary care teams referred patients with food insecurity and/or nutrition-sensitive chronic conditions (e.
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