COVID-19 severity and mortality risk are greater for older adults whereas economic impact is deeper for younger adults. Using the Health Belief Model (HBM) as a framework, this study used a web-based survey to examine how perceived COVID-19 susceptibility and severity and perceived efficacy of recommended health behaviors varied by age group and were related to the adoption of health behaviors. Proportional odds logistic regression was used to examine the relationship between age group and perceived COVID-19 susceptibility, severity, impact, and health behavior efficacy and adoption. Structural equation modeling based on HBM constructs examined the relationships between health beliefs and behaviors. Data from 820 participants (Ontario, Canada) were analyzed (age: 42.7, 16.2 years; 79% women). Middle-aged and older adults reported greater concerns about the personal risk of hospitalization and mortality, economic impact, and social impact of COVID-19 than young adults. Middle-aged adults also reported greatest concern for other age groups. Adoption and perceived efficacy of health behaviors was similar across age groups with few exceptions. Both middle-aged and older-adults were more likely to perceive their own and each other's age groups as responding adequately to COVID-19 compared to young adults. Structural equation modeling indicated perceived benefits of health behaviors were the primary driver of behavior uptake, with socioeconomic factors and perceived severity and susceptibility indirectly associated with uptake through their influence on perceived benefits. Overall, these results suggest adoption of health behaviors is very high with few differences between age groups, despite differences in perceived impact of COVID-19. Public health communications should focus on the benefits of health behaviors to drive adoption.
Osteoarthritis is the most common condition to co-occur with other chronic health conditions and a broad exercise program on management of chronic conditions may be suitable for this group. This study evaluated the 12-week YMCA Move for Health exercise program among adults with osteoarthritis or with/at risk of chronic health conditions using a mixed-methods study design based on the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework. Participants (n = 66) completed the exercise program at the YMCAs in Cambridge, Kitchener, and Waterloo. Assessments included physical function, health-related quality of life, symptoms of arthritis, and physical activity levels and were conducted at baseline (B), postprogram (PP), and 3-month postprogram. Due to interruption by COVID-19, a subgroup of participants completed the 3-month postprogram assessments after the onset of the pandemic. At PP, participants with OA showed significant improvements in level of disability (B = 0.63 ± 0.45 and PP = 0.55 ± 0.47; p = .049), pain (B = 4.3 ± 2.5 and PP = 3.6 ± 2.4; p = .026), fatigue (B = 3.9 ± 3.1 and PP = 2.8 ± 2.6; p = .003), and several domains related to health-related quality of life. Despite interruption by the COVID-19 pandemic and poor maintenance of physical activity levels, nearly all improvements related to level of disability, symptoms of arthritis, and health-related quality of life observed at PP were maintained 3-months postprogram. The Move for Health program proved to be a feasible and effective community program for people with osteoarthritis. Additional supports may be needed to maintain physical activity levels after the program.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.