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Exercise and Active Living in Diverse Environments for Health Promotion

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Guest Editor
Department of Sports Medicine, Shinhan University, Uijeongbu-si 11644, Republic of Korea
Interests: physical activities; environmental physiology; cognitive function; health
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Special Issue Information

Dear Colleagues,

This issue, “Exercise and Active Living in Diverse Environments for Health Promotion,” explores how structured exercise, habitual physical activity and improvements in physical fitness promote health, prevent disease and enhance quality of life across populations. Drawing on perspectives from exercise physiology, epidemiology and public health, it examines the mechanisms linking physical fitness to cardiometabolic health, musculoskeletal function, healthy aging, the prevention and management of non-communicable diseases (NCDs) and mental well-being.

This issue also highlights how improvements in physical fitness translate into broader health outcomes across diverse populations and living environments.

Contributions may address tailored exercise interventions for different life stages, clinical conditions and risk profiles, as well as system-level strategies such as community-based programs and policy initiatives aimed at reducing health inequities. Key themes include implementation facilitators—such as accessibility, adherence and health literacy—as well as the integration of exercise and physical activity promotion into primary healthcare systems.

Overall, this issue aims to advance evidence-based strategies for active living and healthy lifestyles, providing valuable insights for researchers, practitioners and policymakers worldwide. We welcome submissions of original research articles, reviews and meta-analyses that contribute to this important and rapidly evolving field.

Dr. Yongsuk Seo
Guest Editor

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Keywords

  • exercise and physical activity
  • physical fitness and health outcomes
  • active living and built environments
  • health promotion and disease prevention
  • healthy aging and non-communicable diseases

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Published Papers (2 papers)

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Research

23 pages, 352 KB  
Article
Differential Associations of Occupational and Total Physical Activity with Sleep Quality Among Adults in the United Arab Emirates: A Cross-Sectional Study
by Yousef Aljawarneh, Ahmad M. Al-Bashaireh, Saed Azizeh, Sarah Sanad, Shahad R. Alhefeiti, Maryam Alkaabi, Salaimah S. Aldhanhani, Shama A. Aldhanhani, Haleimah Alkaabi, Aisha Alkaabi and Hana Ghunaim
Int. J. Environ. Res. Public Health 2026, 23(7), 935; https://doi.org/10.3390/ijerph23070935 - 21 Jul 2026
Viewed by 423
Abstract
Physical activity is an important determinant of sleep health; however, its relationship with sleep quality may differ depending on the domain in which it occurs. This study examined the differential associations of occupational physical activity (OPA) and total physical activity (TPA) with sleep [...] Read more.
Physical activity is an important determinant of sleep health; however, its relationship with sleep quality may differ depending on the domain in which it occurs. This study examined the differential associations of occupational physical activity (OPA) and total physical activity (TPA) with sleep quality among adults in the United Arab Emirates. Data were collected from 1310 adults (February–April 2024) using the International Physical Activity Questionnaire, the Occupational Sitting and Physical Activity Questionnaire, and the Sleep Quality Scale, in an analytical cross-sectional design. Higher TPA was associated with better sleep quality at the bivariate level (r = −0.104, p < 0.001) but not independently after adjustment (β = −0.042, p = 0.246); this null adjusted finding was sensitive to how skewness in the activity data was handled. Occupational sitting was associated with poorer sleep quality only at the bivariate level, whereas occupational heavy labor remained independently associated with better sleep quality after adjustment (β = −0.080, p = 0.022). Standing, walking, and the TPA × sitting interaction were not significant. These findings indicate that the physical activity–sleep quality association depends on domain and support promoting overall activity alongside attention to occupational demands; however, given the small effect sizes, cross-sectional design, and unmeasured confounders, these implications should be regarded as preliminary rather than a basis for policy recommendations. Full article
19 pages, 427 KB  
Article
Association Between Nutritional Biomarkers and Low Muscle Mass, Obesity, and Low Muscle Mass with Obesity Across Physical Activity Levels Among U.S. Adults: Finding from the National Health and Nutrition Examination Survey 2015–2018
by Uraiporn Booranasuksakul, Mario Siervo, Alongkote Singhato, Narisa Rueangsri, Tepparit Samrit, Wichukorn Suriyawongpaisal and Piyapong Prasertsri
Int. J. Environ. Res. Public Health 2026, 23(6), 815; https://doi.org/10.3390/ijerph23060815 - 19 Jun 2026
Viewed by 1009
Abstract
Background: Nutritional biomarkers are linked to body composition changes, but limited evidence has studied how nutritional biomarkers relate to low muscle mass, excess adiposity, and both coexisting conditions across different physical activity levels. This study aims to investigate associations between low muscle mass, [...] Read more.
Background: Nutritional biomarkers are linked to body composition changes, but limited evidence has studied how nutritional biomarkers relate to low muscle mass, excess adiposity, and both coexisting conditions across different physical activity levels. This study aims to investigate associations between low muscle mass, obesity, and low muscle mass with obesity and nutritional biomarkers across physical activity levels among U.S. adults across physical activity levels. Methods: This cross-sectional study analyzed data from adults aged 20–59 years from the 2015–2018 cycles of the National Health and Nutrition Examination Survey (NHANES) 2015–2018. Low muscle mass was defined by low appendicular lean mass relative to body weight (LALM/W). Obesity was classified using body mass index (BMI1), waist circumference (WC2), and body fat percentage (FM%3), and low muscle mass with obesity was defined using three coexisting phenotypes (LALM/W-O1, LALM/W-O2, LALM/W-O3). Nutritional biomarkers included serum albumin, vitamin D, triglyceride, cholesterol, LDL cholesterol, iron, insulin resistance (HOMA IR), and high-sensitivity C-reactive protein (hs-CRP). Physical activity was categorized as inactive, insufficiently active, or sufficiently active based on MET minutes per week. Multivariable regression models accounted for the complex survey design and relevant covariates. Results: After adjustment, LALM/W was significantly associated with low serum albumin, low vitamin D, high triglyceride, high HOMA-IR, and high CRP. Obesity was significantly associated with low serum albumin, low vitamin D, high triglyceride, high LDL cholesterol, high HOMA-IR, and high CRP. LALM/W-O in all phenotypes were significantly associated with low serum albumin, low vitamin D, high triglyceride, high LDL cholesterol, high HOMA-IR, and high CRP. LALM/W-O phenotypes demonstrated the strongest associations, particularly with high HOMA-IR and hs-CRP. Although the associations varied by physical activity level, sufficiently active group was associated with lower odds of adverse nutritional biomarkers compared with insufficient activity. Conclusions: Nutritional biomarkers are associated with LALM/W and obesity. Sufficient physical activity was associated with fewer adverse outcomes. This suggests that adequate physical activity may be associated with better nutritional status and body composition. Full article
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