Background: There is a fourfold higher prevalence of sleep problems in multiple sclerosis (MS) than the general population.
Objective: This study examined cross-sectional associations among device-measured sedentary and physical activity behavior with perceived sleep quality in adults with MS.
Methods: Adults with MS (N = 290) completed the Pittsburgh Sleep Quality Index (PSQI) and wore an accelerometer for seven days providing a measure of time spent in sedentary behavior, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) using MS-specific cut-points. We conducted multiple linear regression analysis to identify the independent contributions of variables for explaining PSQI scores.
Results: The overall model accounted for 2% of the variance in global PSQI scores, and MVPA was significantly and independently associated with global PSQI scores (β = ─0.123; p = 0.045; partial r = ─0.118) when accounting for average wear time, sedentary behavior, and time spent in LPA. There were no other significant associations with PSQI global score.
Conclusions: Our results suggest that time spent in MVPA may be associated with better sleep quality in adults with MS, but adults with MS do not spend sufficient time in physical activity. Researchers should evaluate these relationships in longitudinal study designs and behavior change interventions, as physical activity may provide a unique opportunity to improve sleep quality outcomes.
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http://dx.doi.org/10.1016/j.dhjo.2021.101133 | DOI Listing |
Rural Remote Health
January 2025
School of Health Sciences, Western Sydney University, Campbelltown, NSW 2560, Australia.
Almost universally, people living in rural and remote places die younger, poorer, and sicker than urban-dwelling citizens of the same country. Despite clear need, health services are commonly less available, and more costly and challenging to access, for rural and remote people. Rural geography is commonly cited as a reason for these disparities, that is, rural people are said to live in places too distant, too underpopulated, and too difficult to access.
View Article and Find Full Text PDFJMIR Aging
January 2025
Centre of Expertise in Care Innovation, Department of PXL - Healthcare, PXL University of Applied Sciences and Arts, Hasselt, Belgium.
Background: Advancements in mobile technology have paved the way for innovative interventions aimed at promoting physical activity (PA).
Objective: The main objective of this feasibility study was to assess the feasibility, usability, and acceptability of the More In Action (MIA) app, designed to promote PA among older adults. MIA offers 7 features: personalized tips, PA literacy, guided peer workouts, a community calendar, a personal activity diary, a progression monitor, and a chatbot.
J Med Internet Res
January 2025
Department of Epidemiology, Boston University School of Public Health, Boston University, Boston, MA, United States.
Background: Digital gaming has become increasingly popular among older adults, potentially offering cognitive, social, and physical benefits. However, its broader impact on health and well-being, particularly in real-world settings, remains unclear.
Objective: This study aimed to evaluate the multidimensional effects of digital gaming on health and well-being among older adults, using data from the Japan Gerontological Evaluation Study conducted in Matsudo City, Chiba, Japan.
JMIR Res Protoc
January 2025
McMaster University, Hamilton, ON, Canada.
Background: Research has shown that engaging in a range of healthy lifestyles or behavioral factors can help reduce the risk of developing dementia. Improved knowledge of modifiable risk factors for dementia may help engage people to reduce their risk, with beneficial impacts on individual and public health. Moreover, many guidelines emphasize the importance of providing education and web-based resources for dementia prevention.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Background: Insomnia is a prevalent sleep disorder affecting millions worldwide, with significant impacts on daily functioning and quality of life. While traditionally assessed through subjective measures such as the Insomnia Severity Index (ISI), the advent of wearable technology has enabled continuous, objective sleep monitoring in natural environments. However, the relationship between subjective insomnia severity and objective sleep parameters remains unclear.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!