98%
921
2 minutes
20
Introduction: Sedentary behavior (SB) has been associated with adverse health outcomes, however, it is not completely clear whether total time in SB during the day or prolonged uninterrupted SB are interrelated. The aim of the current study was to describe the different patterns of SB of adults, their relationships, and associated factors.
Methods: The sample included 184 adults aged ranging from 18 to 59 years old. SB was objectively measured by an accelerometer and the following SB pattern parameters were obtained: total time in sedentary bouts, mean time of sedentary bouts, and total time in sedentary breaks. Demographic data (age and sex), anthropometry [weight, height, body mass index (BMI)], blood pressure (BP), medical history (self-reported comorbid conditions), and cardiac autonomic modulation, were assessed to identify factors associated with SB. Multiple linear regressions were used to analyze the relationship between SB parameters and the associated factors.
Results: The parameters of SB indicated 2.4 (0.9) h/day for total time in sedentary bouts, 36.4 (7.9) min for the mean time of sedentary bouts, and 9.1 (1.9) h/day for the total time in sedentary breaks. Multiple adjusted regression indicated that age was the only factor associated with SB patterns ( < 0.05) after adjustment for confounding variables (sex, age, BMI, dyslipidemia, systolic and diastolic BP). Young adults (18-39 years old) spent more time in sedentary bouts and less time in uninterrupted sedentary bouts compared to middle-aged adults (40-59 years old) (2.58 (0.88) h/day vs. 2.13 (0.90) h/day, respectively; = 0.001 and 34.5 (5.8) min 18-39 years old vs. 38.8 (9.6) min 40-59 years old; ≤ 0.001; respectively). The total time in sedentary breaks was similar between age groups ( = 0.465). The total time in sedentary bouts was significantly correlated with the mean time of sedentary bouts ( = -0.58; ≤ 0.001), and with the total time in sedentary breaks ( = -0.20; = 0.006). The mean time of sedentary bouts was significantly related to the total time in sedentary breaks ( -= 0.19; = 0.007).
Discussion And Conclusion: In conclusion, age seems to be a relevant factor associated with sedentary behavior with young adults spending more time in SB and accumulating this behavior in a higher amount of sedentary bouts compared to middle-aged adults.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042287 | PMC |
http://dx.doi.org/10.3389/fcvm.2023.1116499 | DOI Listing |
JNCI Cancer Spectr
September 2025
Pennington Biomedical Research Center, Baton Rouge, LA 70808, United States.
Background: Cancer survivors may be more likely to experience accelerated declines in physical function compared to cancer-free controls, but objective data and knowledge of preventive interventions are limited.
Methods: The Lifestyle Interventions and Independence for Elders (LIFE) study was a multicenter, single-blinded, randomized trial conducted at 8 centers across the United States that enrolled 1635 sedentary adults aged 70-89 years and with physical limitations but who could walk 400 m at baseline, of which 371 (22.7%) reported a history of cancer.
Cien Saude Colet
August 2025
Faculdade de Medicina, Universidade Federal do Rio Grande Faculdade de Medicina. R. General Osório s/n, Centro. 96200-400 Rio Grande RS Brasil.
Screen time has prompted investigations by researchers worldwide because of its impact on general health. This research aimed to analyze excessive screen time from a Brazilian national survey among adults and older people and to verify the immediate effect of the COVID-19 pandemic on the evolution of the behavior. A panel study using the survey database between 2016-2022, in a sample of 254,600 Brazilian adults and elderly residents in capital cities.
View Article and Find Full Text PDFPLoS One
September 2025
MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom.
Background: Many young people fail to achieve the minimum recommended amount of physical activity to benefit their health. Understanding the nature of age-related changes in behaviour and how this varies for population sub-groups is informative for intervention design. The aim of this study was to describe age-related changes in physical activity and sedentary time and examine variability in patterns of change across demographic sub-groups.
View Article and Find Full Text PDFSleep
September 2025
Center for Sleep Medicine, Hospices Civils de Lyon, Lyon 1 University, Lyon, F-69000, France.
Current treatments for narcolepsy type 1 (NT1) have little impact on psychiatric, cognitive and metabolic comorbidities. Here, we evaluated the feasibility, safety and efficacy of a prospective Exercise Training (ET) program on sleep-related symptoms and comorbidities in NT1. Sedentary adult with NT1 participated in a 6-week supervised ET program followed by a 18-week self-directed program.
View Article and Find Full Text PDFInteract J Med Res
September 2025
Department of Sport Science and Physical Activity, Taibah University, Medina, SA.
Background: Obesity is increasing among Saudi adolescents, with rural females disproportionately underserved due to limited health education, sociocultural barriers, and scarce resources. While most school programs emphasize weight, global recommendations call for non-weight-centric approaches to avoid stigma. The Green Apple program is a school-based, weight-neutral intervention focusing on energy metabolism, nutrient balance, and dietary sources.
View Article and Find Full Text PDF