scholarly journals SEDENTARY BEHAVIOR AND PHYSICAL ACTIVITY IN THE ADULT CHANGES IN THOUGHT (ACT) STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S19-S20
Author(s):  
Dori E Rosenberg ◽  
Andrea Z LaCroix ◽  
Jack Guralnik
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Epidemiologic Study ◽  
Sleep Time ◽  
Epidemiologic Studies ◽  
Built Environments ◽  
Adult Health ◽  
Cross Sectional ◽  
Sleep Logs ◽  
Aging And Health

Abstract Few epidemiologic studies have examined device-measured sitting patterns and health outcomes. Furthermore, there is a need to continue understanding the role of prospectively measured physical activity in relation to older adult health. The Adult Changes in Thought (ACT) study is an on-going epidemiologic study of adults age ≥65 years that began in 1994. Participants complete biennial assessments including a self-reported measure of physical activity. Starting in 2016, ACT participants could enroll in a physical activity sub-study that involved wearing a thigh-worn activPAL device and maintaining sleep logs for 7 days. Of those approached to participate in the sub-study, 64% agreed (N = 1139). A total of 961 had valid wear time (≥4 days with 10-20 hours of data per day) and completed survey collecting measures on pain and built environments (56% female, 57% > age 75, 89% non-Hispanic white). Participants who consented to the sub-study were generally younger and had fewer chronic conditions than those who did not consent. After removing sleep time, mean daily activPAL measures calculated included hours sitting and standing, number of sitting bouts lasting 30 minutes or more, number of breaks from sitting, and steps walked. The first session in this symposium will present historical self-reported physical activity trajectories in relation to cognitive function. The subsequent sessions will present novel cross-sectional data examining activPAL variables with measures of physical function, pain, and perceived built environments. This symposium will provide new insights on the roles of sedentary behavior and physical activity in aging and health.

scholarly journals Association between leisure-time physical activity and sedentary behavior with cardiometabolic health in the ELSA-Brasil participants

2019 ◽  
Vol 7 ◽  
pp. 205031211982708 ◽  
Author(s):  
Francisco José Gondim Pitanga ◽  
Sheila Maria Alvim Matos ◽  
Maria da Conceição C. Almeida ◽  
Ana Luísa Patrão ◽  
Maria del Carmen Bisi Molina ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Screen Time ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Sitting Time ◽  
Cardiometabolic Health ◽  
Adult Health ◽  
Cross Sectional ◽  
Low Levels

Objectives: To assess associations, both individually and in combination, between leisure-time physical activity and sedentary behavior, and cardiometabolic health. Methods: This cross-sectional study included 13,931 civil servants participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Leisure-time physical activity was analyzed using the leisure-time domain of the long-form International Physical Activity Questionnaire, while questions related to cumulative sitting time and leisure-based screen time on a weekday and on one day on the weekend were used to establish sedentary behavior. Data analysis was performed using multivariate logistic regression. Results: Following adjustment for confounding variables, high levels of leisure-time physical activity and low levels of sedentary behavior were both associated with favorable cardiometabolic health markers in both genders. When these two factors were analyzed in conjunction, taking the combination of low levels of leisure-time physical activity and high levels of sedentary behavior as the reference, the inverse associations with cardiometabolic variables became even more significant. Conclusion: High levels of leisure-time physical activity and low levels of sedentary behavior were both inversely associated with the cardiometabolic variables analyzed; however, the two variables when evaluated in conjunction appear to produce more consistent associations, particularly when sedentary behavior is evaluated according to leisure-based screen time.

scholarly journals Sleep, sedentary behavior and physical activity: changes on children’s routine during the COVID-19

2020 ◽  
Vol 25 ◽  
pp. 1-9
Author(s):  
Luís Carlos Barbosa Silva ◽  
Cinthya Rafaella Magalhães da Nóbrega Noaves ◽  
Ronaldo Alexandre de Lima Júnior ◽  
Bruno Barbosa Giudicelli ◽  
Arnaldo Tenório da Cunha Júnior ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Qualitative Data ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Full Time ◽  
Time Increase ◽  
Sectional Study ◽  
Cross Sectional ◽  
Transmission Speed

Social isolation was adopted as a strategy to reduce the transmission speed of the severe acute respiratory syndrome of coronavirus 2 (SARS-CoV-2) in several countries in the world, including Brazil. As a result, schools were closed and the routines of children altered, affecting sleep, sedentary behavior, and physical activity. The present study aims to compare the children’s weekly routine and time spent on sleep, sedentary behavior and physical activity before and during the Coronavirus disease 2019 (COVID-19) pandemic. A cross-sectional study with a quantitative and qualitative approach was performed, with 120 parents, mothers or guardians of children from 5 to 10 years of age of both sexes enrolled in 5 full-time schools in Arapiraca, Alagoas, Brazil. To meet the research objective, two interviews were conducted between 27 May and 5 June, out addressing aspects of sleep, sedentary behavior, and physical activity before and during the COVID-19 pandemic. In the analysis of quantitative data, the paired sample t test was performed, while for qualitative data, discourse analysis was used. Significant differences (p < 0.05) were found in the routine and in sleep time (increase 10%) and screen time (increase 36%) before vs during the COVID-19 pandemic, on weekdays and weekends. There was also a reduction in the practice of physical activity (54%). Therefore, the findings indicate that behaviors during the COVID-19 pandemic could be harmful to children’s health and that the school may be an important social environment to protect children from exposure to these behaviors.

scholarly journals Physical Activity and Sedentary Behavior Patterns Prior to and During the COVID-19 Pandemic

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 339-339
Author(s):  
Nancy Gell ◽  
Dori Rosenberg ◽  
John Bellettiere
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Healthy Aging ◽  
Sedentary Time ◽  
Epidemiologic Study ◽  
Self Report ◽  
Sitting Time ◽  
Aging And Health ◽  
Reported Data

Abstract Understanding patterns in the types of activities older adults engage in during physical activity and sedentary time could help shape intervention designs. Few studies have adequately described the physical activity and sedentary pursuits older adults undertake, including during the COVID-19 pandemic. To answer these questions, this symposium uses data from three recent studies: Adult Changes in Thought (ACT),an epidemiologic study with self-reported and device-based measures of physical activity and sedentary time including time spent in various domains of activity; Objective Physical Activity and Cardiovascular Disease Health in Older Women (OPACH), an epidemiologic study with device and self-report measures of sedentary behavior; and an ongoing clinical trial, the Healthy Aging Resources to Thrive (HART) study with device and self-reported data on sitting time and patterns as well as physical activity. The first session in this symposium will present a description of the rates of meeting the aerobic, strength, and balance recommendations among older adults in the ACT study. Next, we will have a presentation describing sedentary activities in older adults by age, sex and device-based sitting patterns in the ACT study. In the third presentation we will use OPACH data to examine patterns and context of sedentary in relation to aging-related outcomes. Finally, we will describe changes in physical activity and sedentary time in the HART trial in the cohort enrolled prior to the COVID-19 pandemic vs. those enrolled during the pandemic. Our Discussant will provide new insights on the roles of sedentary behavior and physical activity in aging and health.

scholarly journals Physical Activity, Sedentary Behavior, and Cardiorespiratory Fitness in Hazardous and Non-Hazardous Alcohol Consumers

2021 ◽  
pp. 089011712098583
Author(s):  
Mats Hallgren ◽  
Davy Vancampfort ◽  
Thi-Thuy-Dung Nguyen ◽  
Elin Ekblom-Bak ◽  
Peter Wallin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Cardiorespiratory Fitness ◽  
Leisure Time ◽  
Health Assessment ◽  
Cross Sectional Study ◽  
Cycle Ergometer ◽  
Cross Sectional ◽  
Physically Active ◽  
Alcohol Abstainers

Purpose: To describe physical activity habits, sedentary behavior, and cardiorespiratory fitness levels among alcohol abstainers, hazardous and non-hazardous drinkers. Design: Cross-sectional study with data collected between 2017-19. Setting: Sweden. Subjects: Adults aged 18-65 years (n = 47,559; 59.4% male). Measures: During a routine health assessment, participants answered validated single-item questions regarding: habitual physical activity, structured exercise, and the percentage of time spent sedentary during leisure-time (past 30 days), and completed a 6-minute cycle ergometer test (V02max) to determine cardiorespiratory fitness (CRF). Participants were categorized as alcohol abstainers, non-hazardous drinkers or hazardous drinkers (low/high) based on the Alcohol Use Disorders Identification Test (AUDIT-C) cut-points for men and women. Analysis: Logistic regression models stratified by sex and age. Results: Compared to non-hazardous drinkers, the heaviest drinkers were less physically active (males: OR = 1.38, CI = 1.13-1.67, p = .001; females: OR = 1.41, CI = 1.01-1.97, p = .040) and more sedentary during leisure time (males: OR = 1.94, CI = 1.62-2.32, p = .000; females: OR = 1.62, CI = 1.21-2.16, p = .001). Apart from young females, the heaviest drinkers also did less structured exercise than non-hazardous drinkers (males: OR = 1.22, CI = 1.15-1.51, p = .000; females: OR = 1.43, CI = 1.15-1.78, p = .001). The strongest associations were seen among adults aged 40-65 years (shown here). High-hazardous drinking was associated with low CRF among older males only (OR = 1.19, CI = 1.00-1.41). Conclusion: Middle-aged adults with AUDIT-C scores of ≥6 (women) and ≥7 (men) were less physically active and more sedentary during leisure time and may be appropriate targets for physical activity interventions.

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

Prevalence of Physical Activity and Sedentary Behaviors in US High School Students by Metropolitan Status and Geographic Region

2006 ◽  
Vol 3 (4) ◽  
pp. 365-380 ◽  
Author(s):  
Andrew E. Springer ◽  
Deanna M. Hoelscher ◽  
Steven H. Kelder
Keyword(s):  
Physical Activity ◽  
High School Students ◽  
Sedentary Behavior ◽  
Geographic Region ◽  
Sedentary Behaviors ◽  
The South ◽  
School Students ◽  
Cross Sectional ◽  
Nationally Representative ◽  
Tv Watching

Background:Geographic differences in the prevalence of physical activity (PA) have been found among adults in the US; similar studies have not been conducted among adolescents.Methods:Using nationally representative cross-sectional data from the CDC’s 2003 Youth Risk Behavior Survey, we estimated the prevalence of PA and sedentary behaviors by metropolitan status and geographic region.Results:The prevalence of PA was lowest and prevalence of sedentary behavior highest for urban students. Students from the South reported the lowest prevalence of PA and the highest prevalence of TV watching, while students from the West generally reported the highest PA prevalence and lowest sedentary behavior prevalence. Prevalence differences ranged from < 1.0% to > 15%, with most differences falling between 5% and 10%.Conclusions:Findings mirror regional variations previously observed in adult PA. We need to understand factors that contribute to lower PA in youth living in the South and in urban settings.

scholarly journals Patterns of Sedentary Behavior in a Community-Based Cohort of Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 790-790
Author(s):  
Dori Rosenberg ◽  
Rod Walker ◽  
Mikael Anne Greenwood-Hickman ◽  
KatieRose Richmire ◽  
John Bellettiere ◽  
...  
Keyword(s):  
Older Adults ◽  
Epidemiologic Study ◽  
Epidemiologic Studies ◽  
Community Based ◽  
Covariate Data ◽  
Self Rated Health ◽  
Measurement Protocol ◽  
Sleep Logs ◽  
Hispanic White ◽  
Difficulty Walking

Abstract Few epidemiologic studies have examined device-measured sitting patterns by demographics and health status. The Adult Changes in Thought (ACT) study is an on-going epidemiologic study of adults age ≥65 years. We conducted a sub-study that added a thigh-worn activPAL device and sleep logs for 7 days to the measurement protocol. A total of 997 had valid wear time (≥4 days with 10-20 hours of data per day) and covariate data. activPAL sedentary pattern measures included number of sitting bouts lasting 30 minutes or more and mean sitting bout duration. On average, participants (56% female, 57% &gt; age 75, 89% non-Hispanic white) sat in bouts lasting 17 minutes (SD = 12) and had 5.9 (SD = 1.7) bouts of sitting lasting 30 minutes or more. Participants who were older, were male, had obesity, had worse self-rated health, had depression, and had difficulty walking had longer sitting bouts and more prolonged bouts.

scholarly journals Objectively measured sedentary behavior and physical activity in a sample of Finnish adults: a cross-sectional study

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Pauliina Husu ◽  
Jaana Suni ◽  
Henri Vähä-Ypyä ◽  
Harri Sievänen ◽  
Kari Tokola ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Objectively Measured

Prevalence of Internet Addiction and Its Relationship With Combinations of Physical Activity and Screen-Based Sedentary Behavior Among Adolescents in China

2021 ◽  
pp. 1-8
Author(s):  
Gengyu Han ◽  
Jingshu Zhang ◽  
Shang Ma ◽  
Ruoran Lu ◽  
Jiali Duan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Sedentary Behavior ◽  
Internet Addiction ◽  
Cross Sectional Study ◽  
Mixed Effects ◽  
Chi Square ◽  
Cross Sectional ◽  
Other Information ◽  
Chi Square Test

Background: Given the widespread prevalence and serious nature of Internet addiction (IA), this study aimed to estimate the prevalence of IA and assess the relationships between IA and combinations of physical activity (PA) and screen-based sedentary behavior (SB) among adolescents in China. Methods: This cross-sectional study surveyed 31,954 adolescents in grades 7 to 12 in Beijing. IA, PA, screen-based SB, and other information were obtained from a self-administrated questionnaire. The chi-square test and mixed-effects logistic regression model were applied to estimate the relationship between IA and combinations of PA and screen-based SB. Results: 6.2% of the surveyed adolescents reported IA and the prevalence of low PA/high screen-based SB, high PA/high screen-based SB, low PA/low screen-based SB, and high PA/low screen-based SB were 53.7%, 19.5%, 18.8%, and 8.0%, respectively. Mixed-effects logistic regression analysis showed that adolescents with low PA/high screen-based SB were 1.99 (95% confidence interval, 1.62–2.44, P < .001) times more likely to prefer IA than those with high PA/low screen-based SB. Conclusions: The prevalence of IA among Chinese adolescents is still high. Intervention programs like maintaining sufficient PA and reducing screen-based SB might contribute to reducing their IA.

scholarly journals The Association between Dry Eye Disease and Physical Activity as well as Sedentary Behavior: Results from the Osaka Study

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Motoko Kawashima ◽  
Miki Uchino ◽  
Norihiko Yokoi ◽  
Yuichi Uchino ◽  
Murat Dogru ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Dry Eye ◽  
Visual Display ◽  
Dry Eye Disease ◽  
Activity Level ◽  
Eye Disease ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Large Groups

Purpose. To assess the association of dry eye disease (DED) with physical activity and sedentary behavior.Methods. The cross-sectional survey conducted included Japanese office workers who use visual display terminals (n=672). DED was assessed according to the Japanese Dry Eye Diagnostic Criteria, and participants were categorized into “definite DED,” “probable DED,” or “non-DED” groups based on the results of DED examinations. Physical activity and sedentary behavior of participants were assessed using the International Physical Activity Questionnaire (IPAQ), and physical activity level was calculated in metabolic equivalent units per week (MET, min/week). Participants were classified as having a high, moderate, or low level of physical activity.Results. Participants with abnormal tear break-up time (BUT) (≤5 s) were involved in sedentary behavior for significantly longer duration than those with normal BUT (P=0.035). Non-DED participants (14.5%) tended to have higher levels of physical activity than definite DED participants (2.5%). Participants with definite DED had significantly lower MET scores than those with non-DED (P=0.025).Conclusions. Our findings suggest that a lower level of physical activity and sedentary behavior are associated with DED; however, longitudinal/intervention studies with large groups of participants are needed to validate these findings.

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