scholarly journals Physical Activity and Health: Does the Pattern Matter?

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 790-790
Author(s):  
Annemarie Koster ◽  
Sari Stenholm ◽  
Paul Gardiner
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Latent Class ◽  
Activity Patterns ◽  
Health Study ◽  
Accelerometer Data ◽  
Aging Study ◽  
Health Related ◽  
The Usa ◽  
Using Data

Abstract It is well-known that physical activity is key in the prevention of many diseases and disability in old age. Much less is, however, known about the pattern of activity in relation to health. While there are differences in how people spread their activity and sedentary behavior over the day or over the week, we don’t know which activity pattern of most beneficial for health. This symposium focuses on patterns of physical activity and sedentary behavior and health in five different studies with accelerometry data in Europe and the USA. Dr. Rosenberg will show how sedentary behavior patterns are associated with various health outcomes in the Adult Changes in Thought (ACT) study. Using data from The Maastricht Study, Dr. Vandercappellen will present how weekly activity patterns, in particular comparing regularly actives to weekend warriors, are associated with arterial stiffness. Dr. Shiroma will show how patterns of physical activity and sedentary behavior, taking the volume, intensity, and frequency of sessions into account, are associated with mortality in the Women’s Health Study. Dr. Caserotti will present the association between physical activity fragmentation and physical function in the SITLESS Study. Dr. Stenholm will present data from the Finish Retirement and Aging Study, using latent class trajectory analyses to identify daily activity patterns and how these patterns are associated with health-related physical fitness. Taken together, this symposium will provide insight into different ways patterns of activity can be operationalized using accelerometer data and if the patterns of activity and sedentary behavior are associated with health.

Clustering of Sedentary Behaviors and Physical Activity among Youth: A Cross-National Study

2002 ◽  
Vol 14 (4) ◽  
pp. 401-417 ◽  
Author(s):  
Simon J. Marshall ◽  
Stuart J.H. Biddle ◽  
James F. Sallis ◽  
Thomas L. McKenzie ◽  
Terry L. Conway
Keyword(s):  
Physical Activity ◽  
Young People ◽  
Sedentary Behavior ◽  
National Study ◽  
Sedentary Behaviors ◽  
Tv Viewing ◽  
Health Related ◽  
The Usa ◽  
Cross National Study ◽  
Two Sides

Few studies have attempted to describe patterns of sedentary behavior among children and examine how these relate to patterns of physical activity. A group of 2,494 youth aged 11–15 years from the USA and UK completed a physical activity checklist. Low intercorrelations between sedentary behaviors suggest youth sedentariness is multifaceted and cannot be represented accurately by any one behavior such as TV viewing. Cluster analysis identified three groups of young people, differentiated by the level and type of sedentary behavior and physical activity. Physical activity and sedentary behavior are not two sides of the same coin. Further study should examine the health-related outcomes associated with sedentary behavior and the modifiable determinants of these behaviors among young people.

scholarly journals Objectively Measured Sedentary Behavior, Physical Activity, and Cardiometabolic Risk in Hispanic Youth: Hispanic Community Health Study/Study of Latino Youth

2018 ◽  
Vol 103 (9) ◽  
pp. 3289-3298 ◽  
Author(s):  
Garrett Strizich ◽  
Robert C Kaplan ◽  
Daniela Sotres-Alvarez ◽  
Keith M Diaz ◽  
Amber L Daigre ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Latino Youth ◽  
Health Study ◽  
Accelerometer Data ◽  
Linear Regression Models ◽  
Plasminogen Activator Inhibitor 1 ◽  
Wear Time

Abstract Context Time spent in moderate-to-vigorous physical activity (MVPA), but not in sedentary behavior (SB), is related to cardiometabolic risk among non-Hispanic white youth. Objective Examine associations of SB and MVPA with cardiometabolic risk factors among Hispanic/Latino youth. Design Cross-sectional analysis. Setting Four US communities. Participants Hispanic/Latino youth (N = 1,426) ages 8 to 16 years. Measurements Associations of MVPA and SB, measured using 7-day accelerometer data (independent variables), with markers of glucose and lipid metabolism, inflammation, and endothelial function (dependent variables), were assessed in multivariable linear regression models while adjusting for sociodemographic characteristics and accelerometer wear time. Additional models controlled for obesity measures. Results SB comprised a mean (SD) of 75% (13%) of accelerometer wear time; mean (SD) time of MVPA was 35 min/d (22 min/d). Deleterious levels of high-density lipoprotein–cholesterol (HDL-C), triglycerides, insulin resistance, C-reactive protein, and plasminogen activator inhibitor-1 were associated with lower levels of MVPA and higher levels of SB (all P < 0.05). Associations of MVPA with log-transformed triglyceride concentrations (β per 15-min/d increment, −0.039; SE, 0.018; P = 0.037) and SB with HDL-C (β per 30-min/d increment, −0.63; SE, 0.26; P = 0.018), but not those with other markers, remained significant after adjusting for MVPA or SB and further adjustment for body mass index and waist circumference. Higher SB tertiles were associated with lower soluble receptor for advanced glycation end products in fully adjusted models (P for trend = 0.037). Conclusions Physiological precursors of diabetes and cardiovascular disease were associated with MVPA and SB among US Hispanic/Latino youth, a group that bears a disproportionate burden of metabolic disorders.

scholarly journals Examining the When and How of Physical Activity Patterns in Older Adults: The Women’s Health Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 790-790
Author(s):  
Eric Shiroma
Keyword(s):  
Physical Activity ◽  
Women’S Health ◽  
Women's Health ◽  
Activity Patterns ◽  
Health Study ◽  
Relative Importance ◽  
Mortality Hazard ◽  
Session Duration ◽  
Using Data ◽  
Mortality Hazard Ratio

Abstract Using data from the Women’s Health Study (N = 17,708, mean age = 72 years), we investigated the relative importance of physical activity volume, intensity, frequency of sessions, and session duration. We calculated the mortality hazard ratio for varying patterns and combinations of physical activity intensities and sedentary behavior. In separate analyses, we compared participants who engaged in activity regularly throughout the week to those who focused on one or two days a week, and the relative importance of session frequency and duration. These characteristics of activity patterns and their impact on health may help design interventions and public policy.

scholarly journals Daily Physical Activity Patterns and Their Association With Health-Related Physical Fitness Among Aging Workers—The Finnish Retirement and Aging Study

2020 ◽  
Author(s):  
Sari Stenholm ◽  
Anna Pulakka ◽  
Tuija Leskinen ◽  
Jaana Pentti ◽  
Olli J Heinonen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Physical Fitness ◽  
Activity Patterns ◽  
Working Hours ◽  
Activity Level ◽  
Physical Activity Patterns ◽  
Aging Study ◽  
Health Related ◽  
Aging Workers

Abstract Background This study aimed to identify accelerometer-measured daily physical activity patterns, and to examine how they associate with health-related physical fitness among aging workers. Methods The study population consisted of 263 participants (mean age 62.4 years, SD 1.0) from the Finnish Retirement and Aging study, who used wrist-worn ActiGraph accelerometer for at least 1 week including both workdays and days off. Health-related physical fitness measures included body composition (waist circumference, bioimpedance), cardiorespiratory fitness (bicycle ergometer test), and muscular fitness (push-up and chair rise tests). Results Based on the latent class trajectory analysis, 6 trajectories were identified for workdays showing variation in activity level on working hours and on evening hours. Moderate activity during working hours and increase of activity level in the evening was associated with the most favorable health-related fitness in comparison to low activity throughout the workday: waist circumference 90.0 cm (95% confidence interval [CI] 85.5–94.5) versus 99.5 cm (95% CI 96.8–102.3), fat mass 13.9 kg (9.3–18.5) versus 23.8 kg (20.2–27.4), cardiorespiratory fitness 33.4 mL/kg/min (95% CI 31.4–35.3) versus 29.1 mL/kg/min (95% CI 27.8–30.3) (adjusted for age, sex, days off activity, smoking, and alcohol). For the days off, 2 different trajectories were identified, but they differed only in terms of level and not by timing of physical activity. Conclusions A large variation in the workday physical activity patterns was observed among aging workers. Independent of worktime activity, people who were more active in the evenings had more favorable health-related physical fitness than those who were less active throughout the day.

scholarly journals Physical Activity and Years of Healthy Life in Older Adults: Results From the Cardiovascular Health Study

2010 ◽  
Vol 18 (3) ◽  
pp. 313-334 ◽  
Author(s):  
Calvin H. Hirsch ◽  
Paula Diehr ◽  
Anne B. Newman ◽  
Shirley A. Gerrior ◽  
Charlotte Pratt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cardiovascular Health ◽  
Age Groups ◽  
Health Study ◽  
Cardiovascular Health Study ◽  
Healthy Life ◽  
Health Related ◽  
Using Data ◽  
Relative Gains

Little is known about how many years of life and disability-free years seniors can gain through exercise. Using data from the Cardiovascular Health Study, the authors estimated the extra years of life and self-reported healthy life (over 11 years) and years without impairment in activities of daily living (over 6 years) associated with quintiles of physical activity (PA) in older adults from different age groups. They estimated PA from the Minnesota Leisure Time Activities Questionnaire. Multivariable linear regression adjusted for health-related covariates. The relative gains in survival and years of healthy life (YHL) generally were proportionate to the amount of PA, greater among those 75+, and higher in men. Compared with being sedentary, the most active men 75+ had 1.49 more YHL (95% CI: 0.79, 2.19), and the most active women 75+ had 1.06 more YHL (95% CI: 0.44, 1.68). Seniors over age 74 experience the largest relative gains in survival and healthy life from physical activity.

scholarly journals Using Devices to Assess Physical Activity and Sedentary Behavior in a Large Cohort Study: The Women’s Health Study

2018 ◽  
Vol 1 (2) ◽  
pp. 60-69 ◽  
Author(s):  
I-Min Lee ◽  
Eric J. Shiroma ◽  
Kelly R. Evenson ◽  
Masamitsu Kamada ◽  
Andrea Z. LaCroix ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Outcomes ◽  
Sedentary Behavior ◽  
Women’S Health ◽  
Women's Health ◽  
The United States ◽  
Epidemiologic Studies ◽  
Health Study ◽  
Accelerometer Data

In recent years, it has become feasible to use devices for assessing physical activity and sedentary behavior among large numbers of participants in epidemiologic studies, allowing for more precise assessments of these behaviors and quantification of their associations with health outcomes. Between 2011–2015, the Women’s Health Study (WHS) used the Actigraph GT3X+ device to measure physical activity and sedentary behavior over seven days, during waking hours, among 17,708 women (Mage, 72 years) living throughout the United States. Devices were sent to and returned by participants via mail. We describe here the methods used to collect and process the accelerometer data for epidemiologic data analyses. We also provide metrics that describe the quality of the accelerometer data collected, as well as expanded findings regarding previously published associations of physical activity or sedentary behavior with all-cause mortality during an average follow-up of 2.3 years (207 deaths). The WHS is one of the earliest “next generation” epidemiologic studies of physical activity, utilizing wearable devices, in which long-term follow-up of participants for various health outcomes is anticipated. It therefore serves as a useful case study in which to discuss unique challenges and issues faced.

scholarly journals Physical Activity Patterns After Retirement: The REGARDS Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 528-529
Author(s):  
Eric Shiroma ◽  
J David Rhodes ◽  
Aleena Bennet ◽  
Monika M Safford ◽  
Leslie MacDonald ◽  
...  
Keyword(s):  
Physical Activity ◽  
Light Intensity ◽  
Racial Differences ◽  
Activity Patterns ◽  
Accelerometer Data ◽  
Tv Viewing ◽  
Major Life Events ◽  
Major Life ◽  
Physical Activity Patterns ◽  
Regards Study

Abstract Major life events, such as retirement, may lead to dramatic shifts in physical activity (PA) patterns. However, there are limited empirical data quantifying the magnitude of these changes. Our aims were to objectively measure PA before and after retirement and to describe changes in participation in various types of PA. Participants were employed black and white men and women enrolled in REGARDS (REasons for Geographic and Racial Differences in Stroke), a national prospective cohort study (n=581, mean age 64 years, 25% black, 51% women). Participants met inclusion criteria if they retired between their first and second accelerometer wearing (2009-2013 and 2017-2018, respectively) and had valid accelerometer data (>4 days with >10 hours/day pre- and post-retirement). Accelerometer-based PA was categorized into average minutes per day spent in sedentary, light-intensity, and moderate-to-vigorous PA. Participants reported changes (less, same, more) in 12 types of PA. After retirement, participants decreased both sedentary time (by 36.3 minutes/day) and moderate-to-vigorous PA (by 5.6 minutes/day). Conversely, there was an increase in light-intensity PA (+18.1 minutes/day) after retirement. Participants reported changes in their participation level in various PA activities. For example, 41% reported an increased amount of TV viewing, 42% reported less walking, and 31% reported increased participation in volunteer activities. Findings indicate that retirement coincides with a change in the time spent in each intensity category and the time spent across a range of activity types. Further research is warranted to examine how these changes in physical activity patterns influence post-retirement health status.

Associations of Sleep With Sedentary Behavior and Physical Activity Patterns Across Pregnancy Trimesters

2021 ◽  
Author(s):  
Kara M. Whitaker ◽  
Dong Zhang ◽  
Christopher E. Kline ◽  
Janet Catov ◽  
Bethany Barone Gibbs
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Activity Patterns ◽  
Physical Activity Patterns

scholarly journals Physical Activity and Sedentary Activity Patterns Among Children and Adolescents: A Latent Class Analysis Approach

2011 ◽  
Vol 8 (4) ◽  
pp. 457-467 ◽  
Author(s):  
Carrie D. Patnode ◽  
Leslie A. Lytle ◽  
Darin J. Erickson ◽  
John R. Sirard ◽  
Daheia J. Barr-Anderson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Class Analysis ◽  
Children And Adolescents ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Activity Patterns ◽  
Moderate Activity ◽  
Class Analysis ◽  
Sedentary Behaviors ◽  
Sedentary Activity

Background:While much is known about the overall levels of physical activity and sedentary activity among youth, few studies have attempted to define clusters of such behaviors. The purpose of this study was to identify and describe unique classes of youth based on their participation in a variety of physical activity and sedentary behaviors.Methods:Latent class analysis was used to characterize segments of youth based on patterns of self-reported and accelerometer-measured participation in 12 behaviors. Children and adolescents (N = 720) from 6th-11th grade were included in the analysis. Differences in class membership were examined using multinomial logistic regression.Results:Three distinct classes emerged for boys and girls. Among boys, the 3 classes were characterized as “Active” (42.1%), “Sedentary” (24.9%), and “Low Media/Moderate Activity” (33.0%). For girls, classes were “Active” (18.7%), “Sedentary” (47.6%), and “Low Media/Functional Activity” (33.7%). Significant differences were found between the classes for a number of demographic indicators including the proportion in each class who were classified as overweight or obese.Conclusions:The behavioral profiles of the classes identified in this study can be used to suggest possible audience segments for intervention and to tailor strategies appropriately.

scholarly journals Physical activity, health-related quality of life and depression during pregnancy

2011 ◽  
Vol 27 (2) ◽  
pp. 219-228 ◽  
Author(s):  
Iva Tendais ◽  
Bárbara Figueiredo ◽  
Jorge Mota ◽  
Ana Conde
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Activity Patterns ◽  
Health Related Quality ◽  
Physical Activity Patterns ◽  
Work Related ◽  
Related Quality ◽  
Health Related ◽  
Leisure Physical Activity

This study examines physical activity patterns among women, from pre-pregnancy to the second trimester of pregnancy, and the relationship between physical activity status based on physical activity guidelines and health-related quality of life (HRQoL) and depression over pregnancy. 56 healthy pregnant women self-reported physical activity, HRQoL and depression at 10-15 and 19-24 weeks of pregnancy and physical activity before pregnancy. Whereas vigorous leisure physical activity decreased after conception, moderate leisure physical activity and work related physical activity remained stable over time. The prevalence of recommended physical activity was 39.3% and 12.5% in the 1st and 2nd trimesters of pregnancy respectively, and 14.3% pre-pregnancy. From the 1st to the 2nd pregnancy trimester, most physical HRQoL dimensions scores decreased and only mental component increased, independently of physical activity status. No changes in mean depression scores were observed. These data suggest that physical activity patterns change with pregnancy and that physical and mental components are differentially affected by pregnancy course, independently of physical activity status.

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