scholarly journals Meeting Canadian 24-Hour Movement Guideline recommendations and risk of all-cause mortality

2021 ◽  
Author(s):  
Anna E Clarke ◽  
Valerie Carson ◽  
Jean-Philippe Chaput ◽  
Rachel C Colley ◽  
Karen C Roberts ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Mortality Risk ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
All Cause Mortality ◽  
New Guidelines

This study determined if meeting the Canadian 24-Hour Movement Guidelines recommendations are associated with all-cause mortality. Participants were 3,471 adults from the 2005-2006 U.S. National Health and Nutrition Examination Survey followed for mortality over 11 years. They were classified as meeting or not meeting recommendations for sleep duration, sedentary behaviour, and moderate-to-vigorous physical activity (MVPA). A total of 63.8%, 35.3%, and 41.5% of participants met recommendations for sleep, sedentary behavior, and physical activity while 12.3% met all three recommendations. The hazard ratio (HR) for all-cause mortality in participants meeting the recommendations relative to those not meeting the recommendations were 0.91 (0.72, 1.16) for sleep, 0.92 (0.61, 1.40) for sedentary behavior, and 0.42 (0.24, 0.74) for MVPA. The HR for meeting none, any one, any two, and all three recommendations were 1.00, 0.86 (0.65, 1.14), 0.49 (0.28, 0.86), and 0.72 (0.34, 1.50). When the cut-point used to denote acceptable sedentary time was changed from ≤8 to ≤10 hours/day, the HR for meeting none, any one, any two, and all three recommendations were 1.00, 0.83 (0.59, 1.15), 0.57 (0.34, 0.96), and 0.43 (0.20, 0.93). These findings provide some support for the ability of the 24-hour movement guidelines to predict mortality risk. NOVELTY - The 24-Hour Movement Guidelines provide recommendations for sleep, sedentary behavior, and physical activity. - The findings of this study provide some support of the ability of these new guidelines to predict mortality risk.

scholarly journals The Relationship of Accelerometer-Assessed Standing Time With and Without Ambulation and Mortality: The WHI OPACH Study

2020 ◽  
Vol 76 (1) ◽  
pp. 77-84
Author(s):  
Purva Jain ◽  
John Bellettiere ◽  
Nicole Glass ◽  
Michael J LaMonte ◽  
Chongzhi Di ◽  
...  
Keyword(s):  
Physical Activity ◽  
Mortality Risk ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Community Dwelling ◽  
Machine Learning Algorithms ◽  
Cardiovascular Health Study ◽  
Accelerometer Data ◽  
All Cause Mortality

Abstract Background Self-reported time spent standing has been associated with lower risk of mortality. No previous studies have examined this association using device-measured standing. Method This was a prospective cohort study of 5878 older (median age = 80 years), racial/ethnically diverse, community-dwelling women in the WHI Objective Physical Activity and Cardiovascular Health Study (OPACH). Women wore accelerometers for 1 week and were followed for mortality. The study applied previously validated machine learning algorithms to ActiGraph GT3X+ accelerometer data to separately measure time spent standing with and without ambulation. Cox proportional hazards models were used to estimate mortality risk adjusting for potential confounders. Effect modification by age, body mass index, moderate-to-vigorous physical activity, sedentary time, physical functioning, and race/ethnicity was evaluated. Results There were 691 deaths during 26 649 person-years of follow-up through March 31, 2018 (mean follow-up = 4.8 years). In fully adjusted models, all-cause mortality risk was lower among those with more standing without ambulation (quartile [Q] 4 vs Q1 HR = 0.63; 95% CI = 0.49–0.81, p-trend = .003) and more standing with ambulation (Q4 vs Q1 HR = 0.50; 95% CI = 0.35–0.71, p-trend < .001). Associations of standing with ambulation and mortality were stronger among women with above-median sedentary time (HR = 0.51; 95% CI = 0.38–0.68) compared to women with below-median sedentary time (HR = 0.80; 95% CI = 0.59–1.07; p-interaction = .02). Conclusions In this prospective study among older women, higher levels of accelerometer-measured standing were associated with lower risks of all-cause mortality. Standing is an achievable approach to interrupting prolonged sedentary time, and if not contraindicated, is a safe and feasible behavior that appears to benefit health in older ages.

Replacing Sedentary Time With Light or Moderate–Vigorous Physical Activity Across Levels of Frailty

2020 ◽  
Vol 28 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Judith Godin ◽  
Joanna M. Blodgett ◽  
Kenneth Rockwood ◽  
Olga Theou
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Mortality Risk ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Frailty Index ◽  
Lower Mortality ◽  
Vigorous Exercise ◽  
Light Activity ◽  
Lower Mortality Risk

The authors sought to examine how much sedentary time needs to be replaced by light or moderate–vigorous physical activity in order to reduce frailty and protect against mortality. The authors built isotemporal substitution models to assess the theoretical effect of replacing sedentary behavior with an equal amount of light or moderate–vigorous activity on frailty and mortality in community-based adults aged 50 years and older. Controlling for age, sex, body mass index, marital status, race, education, employment status, and National Health and Nutrition Examination Study cycle, replacing 1 hr of sedentary time with moderate–vigorous or light physical activity daily was associated with a lower frailty index. For mortality, results varied based on frailty level. Replacing sedentary behavior with moderate–vigorous exercise was associated with lower mortality risk in vulnerable individuals; however, replacing sedentary behavior with light activity was associated with lower mortality risk in frailer individuals.

A Cross-Sectional Examination of Physical Activity, Sedentary Time, and Sleep Between Adults With and Without Children in the Home Using National Health and Nutrition Examination Survey

2021 ◽  
pp. 1-9
Author(s):  
Danae Dinkel ◽  
Kelsey Lu ◽  
Jemima John ◽  
Kailey Snyder ◽  
Lisette T. Jacobson
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
National Health ◽  
Weight Status ◽  
Sedentary Time ◽  
Nutrition Examination Survey ◽  
Chi Square ◽  
Cross Sectional ◽  
Work Activity ◽  
Health And Nutrition

Background: Physical activity (PA), sedentary behavior, and sleep are interconnected, promoting optimal health. Few studies have examined these factors holistically. Therefore, the purpose of this study was to capture the 24-hour activity cycles of the US population by examining PA, sedentary behavior, and sleep based on the presence of a child within the home, as well as gender and weight. Methods: Cross-sectional health-related variables from the National Health and Nutrition Examination Survey were used for analysis. The primary variables were the total and type of PA (recreation, work, and active transportation), sedentary behavior, and sleep. Chi-square and regression models were applied to compare the outcomes across participants’ characteristics. Results: The adults with children within the home reported less recreational PA, more work activity, less sedentary activity, and less sleep, but no differences in total PA. The females with children in the home not only had the lowest levels of recreational activity and sleep, but also the lowest levels of sedentary behavior. The obese individuals with children in the home had less sedentary time than the adults without children in the home, regardless of weight status. Conclusions: Unhealthy sleep and PA behaviors are prevalent in adults with children living at home, and women are particularly impacted.

Integrating Sleep, Physical Activity, and Diet Quality to Estimate All-Cause Mortality Risk: A Combined Compositional Clustering and Survival Analysis of the National Health and Nutrition Examination Survey 2005–2006 Cycle

2020 ◽  
Vol 189 (10) ◽  
pp. 1057-1064 ◽  
Author(s):  
Borja del Pozo Cruz ◽  
Duncan E McGregor ◽  
Jesús del Pozo Cruz ◽  
Matthew P Buman ◽  
Javier Palarea-Albaladejo ◽  
...  
Keyword(s):  
Physical Activity ◽  
National Health ◽  
Diet Quality ◽  
Mortality Risk ◽  
Cox Regression ◽  
Nutrition Examination Survey ◽  
Activity Profile ◽  
Health And Nutrition ◽  
All Cause Mortality ◽  
Log Ratio

Abstract We aimed to compare all-cause mortality risk across clusters of adults ≥50 years of age (n = 1,035) with common lifestyle behaviors patterns, enrolled in the US National Health and Nutrition Examination Survey (2005–2006). Log-ratio coordinates of 24-hour movement pattern and z scores of diet quality were used as input into a model-based clustering analysis. A Cox regression model was fitted to ascertain the all-cause mortality risk associated with each cluster. Participants were clustered into 4 groups: 1) a group characterized by a better physical activity profile and longer sleep duration coupled with an average diet quality (cluster 1); 2) a group with the poorest activity profile and shortest sleep but also the best diet quality (cluster 2); 3) another group featuring lower levels of activity of either intensity and higher levels of sedentary behavior and also a poor diet quality score (cluster 3); and 4) a group with an average diet quality and the best activity profile in the sample (cluster 4). A combination of a poorer diet and activity profile increased the prospective risk of all-cause mortality. Our findings emphasize the importance of considering the combination of diet quality and 24-hour movement patterns when developing interventions to reduce the risk of premature mortality.

scholarly journals Joint association between accelerometry-measured daily combination of time spent in physical activity, sedentary behaviour and sleep and all-cause mortality: a pooled analysis of six prospective cohorts using compositional analysis

2021 ◽  
pp. bjsports-2020-102345
Author(s):  
Sebastien Chastin ◽  
Duncan McGregor ◽  
Javier Palarea-Albaladejo ◽  
Keith M Diaz ◽  
Maria Hagströmer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Sedentary Time ◽  
Cox Regression ◽  
Vigorous Physical Activity ◽  
Pooled Analysis ◽  
Light Physical Activity ◽  
Cox Regression Analysis ◽  
All Cause Mortality ◽  
Prospective Cohorts

ObjectiveTo examine the joint associations of daily time spent in different intensities of physical activity, sedentary behaviour and sleep with all-cause mortality.MethodsFederated pooled analysis of six prospective cohorts with device-measured time spent in different intensities of physical activity, sedentary behaviour and sleep following a standardised compositional Cox regression analysis.Participants130 239 people from general population samples of adults (average age 54 years) from the UK, USA and Sweden.Main outcomeAll-cause mortality (follow-up 4.3–14.5 years).ResultsStudies using wrist and hip accelerometer provided statistically different results (I2=92.2%, Q-test p<0.001). There was no association between duration of sleep and all-cause mortality, HR=0.96 (95% CI 0.67 to 1.12). The proportion of time spent in moderate to vigorous physical activity was significantly associated with lower risk of all-cause mortality (HR=0.63 (95% CI 0.55 to 0.71) wrist; HR=0.93 (95% CI 0.87 to 0.98) hip). A significant association for the ratio of time spent in light physical activity and sedentary time was only found in hip accelerometer-based studies (HR=0.5, 95% CI 0.42 to 0.62). In studies based on hip accelerometer, the association between moderate to vigorous physical activity and mortality was modified by the balance of time spent in light physical activity and sedentary time.ConclusionThis federated analysis shows a joint dose–response association between the daily balance of time spent in physical activity of different intensities and sedentary behaviour with all-cause mortality, while sleep duration does not appear to be significant. The strongest association is with time spent in moderate to vigorous physical activity, but it is modified by the balance of time spent in light physical activity relative to sedentary behaviour.

scholarly journals Cannabis use, sedentary behavior, and physical activity in a nationally representative sample of US adults

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Lydia Q. Ong ◽  
John Bellettiere ◽  
Citlali Alvarado ◽  
Paul Chavez ◽  
Vincent Berardi
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Health Impact ◽  
Cannabis Use ◽  
Objective Measures ◽  
Health And Nutrition ◽  
Nationally Representative ◽  
The Relationship ◽  
Potential Public Health

Abstract Background Prior research examining the relationship between cannabis use, sedentary behavior, and physical activity has generated conflicting findings, potentially due to biases in the self-reported measures used to assess physical activity. This study aimed to more precisely explore the relationship between cannabis use and sedentary behavior/physical activity using objective measures. Methods Data were obtained from the 2005–2006 National Health and Nutrition Examination Survey. A total of 2,092 participants (ages 20–59; 48.8% female) had accelerometer-measured sedentary behavior, light physical activity, and moderate-to-vigorous physical activity. Participants were classified as light, moderate, frequent, or non-current cannabis users depending on how often they used cannabis in the previous 30 days. Multivariable linear regression estimated minutes in sedentary behavior/physical activity by cannabis use status. Logistic regression modeled self-reported moderate-to-vigorous physical activity in relation to current cannabis use. Results Fully adjusted regression models indicated that current cannabis users’ accelerometer-measured sedentary behavior did not significantly differ from non-current users. Frequent cannabis users engaged in more physical activity than non-current users. Light cannabis users had greater odds of self-reporting physical activity compared to non-current users. Conclusions This study is the first to evaluate the relationship between cannabis use and accelerometer-measured sedentary behavior and physical activity. Such objective measures should be used in other cohorts to replicate our findings that cannabis use is associated with greater physical activity and not associated with sedentary behavior in order to fully assess the potential public health impact of increases in cannabis use.

Is Physical Activity-Related Self-Efficacy Associated with Moderate to Vigorous Physical Activity and Sedentary Behaviour among Ambulatory Children with Cerebral Palsy?

2021 ◽  
pp. e20200064
Author(s):  
Felipe Ganz ◽  
Virginia Wright ◽  
Patricia J. Manns ◽  
Lesley Pritchard
Keyword(s):  
Physical Activity ◽  
Sedentary Behaviour ◽  
Motor Function ◽  
Self Efficacy ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Linear Regression Models ◽  
Gross Motor ◽  
Gross Motor Function ◽  
Gmfcs Level

Purpose: To determine how physical activity-related self-efficacy is associated with physical activity and sedentary behaviour time among ambulatory children with cerebral palsy (CP). Method: Children with CP, Gross Motor Function Classification System (GMFCS) Levels I-III ( N = 26; aged 9–18 y), completed the task self-efficacy component of a self-efficacy scale and wore Actigraph GT3X+ accelerometers for 5 days. Correlations (Pearson and Spearman’s rank-order; a = 0.050) were conducted to evaluate the relationships among age, GMFCS level, self-efficacy, and both daily moderate-to-vigorous physical activity (MVPA) and sedentary time. Linear regression models were used to determine the relationships among the independent variables and MVPA and sedentary time. Results: Self-efficacy was positively associated with MVPA time ( r = 0.428, p = 0.015) and negatively correlated with sedentary time ( r = –0.332, p = 0.049). In our linear regression models, gross motor function (β = –0.462, p = 0.006), age (β = –0.344, p = 0.033), and self-efficacy (β = 0.281, p = 0.080) were associated with MVPA time ( R2 = 0.508), while GMFCS level (β = 0.439, p = 0.003) and age (β = 0.605, p < 0.001) were associated with sedentary time ( R2 = 0.584). Conclusions: This research suggests that self-efficacy, age, and gross motor function are associated with MVPA in children with CP. Additional research is needed to confirm these findings and further explore the influence of self-efficacy on sedentary behaviour.

scholarly journals Leading by Example: Association Between Mother and Child Objectively Measured Physical Activity and Sedentary Behavior

2020 ◽  
pp. 1-12
Author(s):  
Brad R. Julius ◽  
Amy M.J. O’Shea ◽  
Shelby L. Francis ◽  
Kathleen F. Janz ◽  
Helena Laroche
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Low Income ◽  
Multivariate Regression ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Mother And Child ◽  
Low Income Mothers ◽  
Objectively Measured ◽  
The Relationship

Purpose: The authors examined the relationship between mother and child activity. Methods: The authors compared moderate–vigorous physical activity (MVPA) and sedentary time of low-income mothers with obesity and their 6- to 12-year-old children on week (WD) and weekend (WE) days. A total of 196 mother–child pairs wore accelerometers simultaneously for a week. Mothers completed questionnaires. Spearman correlation and multivariate regression were used. Results: WE MVPA (accelerometry) was significantly correlated between mothers with children aged 6–7 (rs = .35) and daughters (rs = .27). Self-reported maternal PA time spent with one of their children was significantly correlated with the WE MVPA of all children (rs = .21) and children aged 8–10 (rs = .22) and with the WD MVPA of all children (rs = .15), children aged 8–10 (rs = .23), aged 11–12 (rs = .52), and daughters (rs = .37), and inversely correlated to the WD sedentary time of all children (rs = −.21), children aged 8–10 (rs = −.30), aged 11–12 (rs = −.34), daughters (rs = −.26), and sons (rs = −.22). In multivariate regression, significant associations were identified between reported child–mother PA time together and child MVPA and sedentary time (accelerometry). Conclusions: Mothers may influence the PA levels of their children with the strongest associations found in children aged 6–7 and daughters. Mother–child coparticipation in PA may lead to increased child MVPA and decreased sedentary behavior.

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