Patterns Of Sedentary Time Research Articles

Sedentary and Physical Activity Patterns in Adults with Intellectual Disability.

Little is known about the patterns of sedentary time (ST) and physical activity (PA) levels throughout the week among adults and older adults with Intellectual Disability (ID). We analyzed ST and PA patterns of adults and older adults with ID. Forty-two adults and 42 older adults with mild to severe ID participated in this study. Height and weight were obtained to calculate Body Mass Index (BMI). Body fat and fat-free mass percentages were also obtained. Patterns of PA levels and ST were assessed with GT3X Actigraph accelerometers. Adults performed higher amounts of total PA and moderate to vigorous PA than older adults during the week, on weekdays and in center time (all p > 0.05). No differences between males and females were found for either PA levels or ST. Only 10.7% of the participants met the global recommendations on PA for health. The participants of the current study showed low PA levels and a high prevalence of ST. Interestingly, when comparing age and/or sex groups, no differences were observed for ST. Our findings provide novel and valuable information to be considered in future interventions aiming to increase PA levels and reduce ST.

Sedentary Patterns In People with Intellectual Disability

INTRODUCTION: Adults and older adults with intellectual disabilities (ID) have low physical activity levels (PALs) and very little is known about the patterns of sedentary time (ST) among them. PURPOSE: To analyze ST patterns of adults and older adults with ID. METHODS: A group of 42 adults and 42 older adults with mild to severe ID were recruited. A health screening questionnaire was completed by each participant and/or legal guardian. Height and weight were obtained to calculate BMI. ST patterns were assessed with ActiGraph accelerometers for 7 consecutive days. RESULTS: Non-significant differences in ST throughout the week were observed. Non-significant differences between gender groups were found for ST. A significant difference was found for age groups where adults present a higher number of breaks per sedentary hour than older adults (P = 0.048) and the obese participants spent more time on SB than those participants with a normal BMI (P = 0.042). We also found that the number of bouts in SB per day increased in those participants with higher BMI values (P = 0.005). CONCLUSIONS: These groups of subjects with ID showed a high prevalence of ST (79,4% of monitoring time). Interestingly, when comparing age and/or gender groups, no differences were observed for ST. Our findings provide novel and valuable information to be considered in future interventions aiming to increase PAL and reduce ST. Well-designed interventions and preventive health strategies in this specific population are recommended. Partially supported by: MEC (Ref: DEP2012-35335) & AGAUR (Ref: 2013FI_B2 00091)Table 1: Descriptive characteristics of the participants.Table 2: Time in sedentary, percentage of sedentary behavior·day-1, number of sedentary bouts·day-1, and number of breaks per sedentary hour.

Dietary Protein in Older Adults: Adequate Daily Intake but Potential for Improved Distribution.

Daily distribution of dietary protein may be important in protecting against sarcopenia, specifically in terms of per meal amounts relative to a proposed threshold for maximal response. The aims of this study were to determine total and per meal protein intake in older adults, as well as identifying associations with physical activity and sedentary behavior. Three-day food diaries recorded protein intake in 38 participants. Protein distribution, coefficient of variation (CV), and per meal amounts were calculated. Accelerometry was used to collect physical activity data as well as volume and patterns of sedentary time. Average intake was 1.14 g·kg−1·day−1. Distribution was uneven (CV = 0.67), and 79% of participants reported <0.4 g·kg−1 protein content in at least 2/3 daily meals. Protein intake was significantly correlated with step count (r = 0.439, p = 0.007) and negatively correlated with sedentary time (r = −0.456, p = 0.005) and Gini index G, which describes the pattern of accumulation of sedentary time (r = −0.421, p = 0.011). Total daily protein intake was sufficient; however, distribution did not align with the current literature; increasing protein intake may help to facilitate optimization of distribution. Associations between protein and other risk factors for sarcopenia may also inform protective strategies.

Objectively measured patterns of sedentary time and physical activity in young adults of the Raine study cohort

BackgroundTo provide a detailed description of young adults’ sedentary time and physical activity.Methods384 young women and 389 young men aged 22.1 ± 0.6 years, all participants in the 22 year old follow-up of the Raine Study pregnancy cohort, wore Actigraph GT3X+ monitors on the hip for 24 h/day over a one-week period for at least one ‘valid’ day (≥10 h of waking wear time). Each minute epoch was classified as sedentary, light, moderate or vigorous intensity using 100 count and Freedson cut-points. Mixed models assessed hourly and daily variation; t-tests assessed gender differences.ResultsThe average (mean ± SD) waking wear time was 15.0 ± 1.6 h/day, of which 61.4 ± 10.1 % was spent sedentary, 34.6 ± 9.1 % in light-, 3.7 ± 5.3 % in moderate- and, 0.3 ± 0.6 % in vigorous-intensity activity. Average time spent in moderate to vigorous activity (MVPA) was 36.2 ± 27.5 min/day. Relative to men, women had higher sedentary time, but also higher vigorous activity time. The ‘usual’ bout duration of sedentary time was 11.8 ± 4.5 min in women and 11.7 ± 5.2 min in men. By contrast, other activities were accumulated in shorter bout durations. There was large variation by hour of the day and by day of the week in both sedentary time and MVPA. Evenings and Sundays through Wednesdays tended to be particularly sedentary and/or inactive.ConclusionFor these young adults, much of the waking day was spent sedentary and many participants were physically inactive (low levels of MVPA). We provide novel evidence on the time for which activities were performed and on the time periods when young adults were more sedentary and/or less active. With high sedentary time and low MVPA, young adults may be at risk for the life-course sequelae of these behaviours.Electronic supplementary materialThe online version of this article (doi:10.1186/s12966-016-0363-0) contains supplementary material, which is available to authorized users.

Objectively measured physical activity and sedentary time in youth: the International children's accelerometry database (ICAD).

BackgroundPhysical activity and sedentary behaviour in youth have been reported to vary by sex, age, weight status and country. However, supporting data are often self-reported and/or do not encompass a wide range of ages or geographical locations. This study aimed to describe objectively-measured physical activity and sedentary time patterns in youth.MethodsThe International Children’s Accelerometry Database (ICAD) consists of ActiGraph accelerometer data from 20 studies in ten countries, processed using common data reduction procedures. Analyses were conducted on 27,637 participants (2.8–18.4 years) who provided at least three days of valid accelerometer data. Linear regression was used to examine associations between age, sex, weight status, country and physical activity outcomes.ResultsBoys were less sedentary and more active than girls at all ages. After 5 years of age there was an average cross-sectional decrease of 4.2 % in total physical activity with each additional year of age, due mainly to lower levels of light-intensity physical activity and greater time spent sedentary. Physical activity did not differ by weight status in the youngest children, but from age seven onwards, overweight/obese participants were less active than their normal weight counterparts. Physical activity varied between samples from different countries, with a 15–20 % difference between the highest and lowest countries at age 9–10 and a 26–28 % difference at age 12–13.ConclusionsPhysical activity differed between samples from different countries, but the associations between demographic characteristics and physical activity were consistently observed. Further research is needed to explore environmental and sociocultural explanations for these differences.Electronic supplementary materialThe online version of this article (doi:10.1186/s12966-015-0274-5) contains supplementary material, which is available to authorized users.

Gender and Age Differences in Hourly and Daily Patterns of Sedentary Time in Older Adults Living in Retirement Communities.

BackgroundTotal sedentary time varies across population groups with important health consequences. Patterns of sedentary time accumulation may vary and have differential health risks. The purpose of this study is to describe sedentary patterns of older adults living in retirement communities and illustrate gender and age differences in those patterns.MethodsBaseline accelerometer data from 307 men and women (mean age = 84±6 years) who wore ActiGraph GT3X+ accelerometers for ≥ 4 days as part of a physical activity intervention were classified into bouts of sedentary time (<100 counts per minute). Linear mixed models were used to account for intra-person and site-level clustering. Daily and hourly summaries were examined in mutually non-exclusive bouts of sedentary time that were 1+, 5+, 10+, 20+, 30+, 40+, 50+, 60+, 90+ and 120+ minutes in duration. Variations by time of day, age and gender were explored.ResultsMen accumulated more sedentary time than women in 1+, 5+, 10+, 20+, 30+, 40+, 50+ and 60+ minute bouts; the largest gender-differences were observed in 10+ and 20+ minute bouts. Age was positively associated with sedentary time, but only in bouts of 10+, 20+, 30+, and 40+ minutes. Women had more daily 1+ minute sedentary bouts than men (71.8 vs. 65.2), indicating they break up sedentary time more often. For men and women, a greater proportion of time was spent being sedentary during later hours of the day than earlier. Gender differences in intra-day sedentary time were observed during morning hours with women accumulating less sedentary time overall and having more 1+ minute bouts.ConclusionsPatterns identified using bouts of sedentary time revealed gender and age differences in the way in which sedentary time was accumulated by older adults in retirement communities. Awareness of these patterns can help interventionists better target sedentary time and may aid in the identification of health risks associated with sedentary behavior. Future studies should investigate the impact of patterns of sedentary time on healthy aging, disease, and mortality.

Associations of sedentary time patterns and TV viewing time with inflammatory and endothelial function biomarkers in children.

SummaryObjectiveInvestigate associations of TV viewing time and accelerometry‐derived sedentary time with inflammatory and endothelial function biomarkers in children.MethodsCross‐sectional analysis of 164 7–10‐year‐old children. TV viewing time was assessed by parental proxy report and total and patterns of sedentary time accumulation (e.g. prolonged bouts) were assessed by accelerometry. C‐reactive protein (CRP), homeostasis model assessment of insulin resistance, interleukin‐2, ‐6, ‐8, ‐10, tumour necrosis factor alpha, adiponectin, resistin, brain‐derived neurotrophic factor, soluble intercellular and vascular adhesion molecule 1, plasminogen activator inhibitor 1 and soluble E‐selectin were assessed. Generalised linear models assessed the associations of TV viewing and sedentary time with biomarkers, adjusting for sex, waist circumference, moderate‐ to vigorous‐intensity physical activity and diet density.ResultsEach additional h week−1 of TV viewing was associated with 4.4% (95% CI: 2.1, 6.7) greater CRP and 0.6% (0.2, 1.0) greater sVCAM‐1 in the fully adjusted model. The association between frequency and duration of 5–10 min bouts of sedentary time and CRP was positive after adjustment for sex and waist circumference but attenuated after adjustment for diet density.ConclusionsThis study suggests that TV viewing was unfavourably associated with several markers of inflammation and endothelial dysfunction. The detrimental association between 5 and 10 min bouts of sedentary time and CRP approached significance, suggesting that further research with a stronger study design (longitudinal and/or experimental) is needed to better understand how the accumulation of sedentary time early in life may influence short and longer term health.

Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.

BackgroundAccelerometer-based activity monitors are widely used in research and surveillance applications for quantifying sedentary behavior (SB) and physical activity (PA). Considerable research has been done to refine methods for assessing PA, but relatively little attention has been given to operationalizing SB parameters (i.e., sedentary time and breaks) from accelerometer data - particularly in relation to health outcomes. This study investigated: (a) the accrued patterns of sedentary time and breaks; and (b) the associations of sedentary time and breaks in different bout durations with cardiovascular risk factors.MethodsAccelerometer data on 5,917 adults from the National Health Examination and Nutrition Survey (NHANES) 2003–2006 were used. Sedentary time and breaks at different bout durations (i.e., 1, 2–4, 5–9, 10–14, 15–19, 20–24, 25–29, and ≥30-min) were obtained using a threshold of <100 counts per minute. Sedentary time and breaks were regressed on cardiovascular risk factors (waist circumference, triglyceride, and high-density lipoprotein cholesterol) and body mass index across bout durations.ResultsThe results revealed that the majority of sedentary time occurred within relatively short bout durations (≈70% and ≈85% for <5-min and <10-min, respectively). The associations of sedentary time and breaks with health outcomes varied depending on how bout time was defined. Estimates of SB parameters based on bout durations of 5 min or shorter were associated with reduced cardiovascular risk factors while durations longer than 10-min were generally associated with increased risk factors.ConclusionsThe present study demonstrates that the duration of sedentary bouts should be further considered when operationalizing the SB parameters from accelerometer data. The threshold of 5 minutes to define a bout is defensible, but a 10 minute threshold would provide a more conservative estimate to clearly capture the prolonged nature of sedentary behavior. Additional research is needed to determine the relative sensitivity and specificity of these thresholds.

Patterns of sedentary time and cardiometabolic risk among Canadian adults

ObjectiveThe aim of this study is to examine the associations of total sedentary time and patterns of sedentary time with cardiometabolic biomarkers in a large representative sample of Canadian adults. MethodsThe study is based on 4935 adults aged 20–79years, from the 2007/09 and 2009/11 Canadian Health Measures Survey. Total sedentary time, patterns of sedentary time (≥20minute prolonged sedentary bouts, number of sedentary breaks), and moderate- to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Waist circumference, systolic and diastolic blood pressure, high-density lipoprotein (HDL) cholesterol, and C-reactive protein were measured. Triglycerides, low-density lipoprotein (LDL) cholesterol, insulin, and glucose were also measured in a fasting sub-sample (n=2551). ResultsTotal sedentary time and time in ≥20minute prolonged sedentary bouts were associated with higher insulin and lower diastolic blood pressure levels (P<0.05). On average, each additional 10 breaks/day was associated with 0.83 (95%CI: 1.35, 0.31) cm lower waist circumference, 0.32 (0.62, 0.02) mmHg lower systolic blood pressure, 0.01 (0.00, 0.02) mmol/l higher HDL-cholesterol, 3.72 (1.34, 6.13) % lower triglycerides, 0.57 (0.23, 0.92) % lower glucose, and 4.19 (1.80, 6.63) % lower insulin. ConclusionThese findings in a large representative sample of Canadian adults indicate that breaking up sedentary time may be particularly important for cardiometabolic health.

Objective assessment of sedentary time and physical activity throughout the week in adolescents with Down syndrome. The UP&amp;DOWN study

This study aimed to examine the patterns of sedentary time and physical activity (PA) throughout the week in adolescents with Down syndrome (DS). The study comprised 109 adolescents with DS (68 males and 41 females) aged 11-20 years, participating in the UP&DOWN study, but only a total of 100 adolescents provided valid data. Sedentary time and total, light, moderate, vigorous, and moderate-to-vigorous PA (MVPA) were measured by accelerometers. There were no significant differences in the time spent in sedentary time and PA levels between weekdays vs. weekend days, as well as between school time vs. after school-time periods (all p>0.05). Adolescent males engaged in more total PA, moderate PA, vigorous PA and MVPA than females on weekend days (all p<0.05). Differences between age groups showed that sedentary time increases and PA decreases with advancing age in all analyses, so that the oldest groups were more sedentary and less active (all p<0.05). Only 43% of adolescents with DS met the PA recommendations of ≥60min/day of MVPA. Our findings show valuable information to be considered in future interventions aiming to decrease sedentary time and increase PA levels in adolescents with DS.

The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey.

BackgroundSelf-reported screen time is associated with elevated health risk in children and youth; however, research examining the relationship between accelerometer-measured sedentary time and health risk has reported mixed findings. The purpose of this study was to examine the association between accelerometer-measured patterns of sedentary time and health risk in children and youth.MethodsThe results are based on 1,608 children and youth aged 6 to 19 years from the Canadian Health Measures Survey (2007–2009). Sedentary time was measured using the Actical accelerometer. Breaks in sedentary time and prolonged bouts of sedentary time lasting 20 to 120 minutes were derived for all days, weekend days and during the after-school period (i.e., after 3 pm on weekdays). Regression analyses were used to examine the association between patterns of sedentary time and body mass index (BMI), waist circumference, blood pressure and non-HDL cholesterol.ResultsBoys accumulated more sedentary time on weekdays after 3 pm and had a higher number of breaks in sedentary time compared to girls. Overweight/obese boys (aged 6–19 years) accumulated more sedentary time after 3 pm on weekdays (282 vs. 259 min, p < .05) and as prolonged bouts lasting at least 80 minutes (171 vs. 133 min, p < .05) compared to boys who were neither overweight nor obese. Prolonged bouts of sedentary time lasting at least 80 minutes accumulated after 3 pm on weekdays were positively associated with BMI and waist circumference in boys aged 11–14 years (p < .006). Each additional 60 min of sedentary time after 3 pm on weekdays was associated with a 1.4 kg·m-2 higher BMI and a 3.4 cm higher waist circumference in 11–14 year old boys. No sedentary pattern variables differed between girls who were not overweight or obese and those who were overweight/obese and none of the sedentary pattern variables were associated with any health markers in girls.ConclusionsThe findings confirm results of other studies that reported accelerometer-measured sedentary time was not associated with health risk in children and youth. Even when the pattern and timing of sedentary time was examined relative to health markers, few associations emerged and were limited to boys aged 11–14 years.

Patterning of children's sedentary time at and away from school

Sedentary behavior in children is positively associated with an increased risk of both obesity and insulin resistance. Children spend a considerable portion of their awake time in sedentary behavior; however, the pattern of accumulation is not known. Thus the objective of this study was to describe the patterning of sedentary behavior of children at and away from school. The patterns of sedentary time in a sample of 53 children (28 girls) aged 10-12 years during school-term time were examined. Children wore an accelerometer for 1 week. Total sedentary time, prolonged sequences (bouts) of sedentary time, and frequency of active interruptions to sedentary were examined on school days and weekends and within school time and non-school time on school days. The data did not support our hypothesis that children accumulated more sedentary time on school days when compared with weekend days (mean [SD]: 64.4% [5.3] vs. 64.9% [9.0], P = 0.686). However, when comparing school time with non-school time on school days, children accumulated more sedentary time at school (66.8% [7.3] vs. 62.4% [5.2], P < 0.001) and spent more time at school in sustained sedentary sequences, that is, uninterrupted sedentary time for 30 min or more (75.6 min [45.8] vs. 45.0 min [26.8], P < 0.002). The children also recorded less breaks per sedentary hour within school time when compared with non-school time (8.9 h(-1) vs. 10.2 h(-1) , P < 0.001). Reducing total sedentary time spent both in and out of school remains an important challenge. Interrupting sedentary time more often in the "working" (school) day could also reap important musculoskeletal and metabolic health rewards for children.

Patterns of sedentary time of 19 month old children meeting or exceeding screen time recommendations

Patterns of sedentary time of 19 month old children meeting or exceeding screen time recommendations

Sedentary behavior: Understanding and influencing adults' prolonged sitting time

Too much sitting is now understood to be a health risk that is additional to, and distinct from, too little exercise. There is a rapidly-accumulating evidence on relationships of prolonged sedentary time and patterns of sedentary time with cardio-metabolic risk biomarkers and health outcomes. There is, however, the need to gather dose–response evidence and develop a broader understanding of the set of mechanisms linking sedentary behavior to health outcomes. In addition to the further understanding of the associated health risks, there is a new health-behavior, and epidemiological and experimental research agenda to be pursued, which include measurement studies; understanding the relevant determinants—particularly environmental determinants of sedentary behavior; and, developing effective interventions. A broad-based body of evidence is needed to inform the research-translation agenda—identifying and developing the future public health initiatives, environmental and policy changes and clinical guidelines that may be required.

Oceans of love: A lesson for care in the emergency department

The aim of this study is to examine the associations of total sedentary time and patterns of sedentary time with cardiometabolic biomarkers in a large representative sample of Canadian adults.The study is based on 4935 adults aged 20–79 years, from the 2007/09 and 2009/11 Canadian Health Measures Survey. Total sedentary time, patterns of sedentary time (≥ 20 minute prolonged sedentary bouts, number of sedentary breaks), and moderate- to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Waist circumference, systolic and diastolic blood pressure, high-density lipoprotein (HDL) cholesterol, and C-reactive protein were measured. Triglycerides, low-density lipoprotein (LDL) cholesterol, insulin, and glucose were also measured in a fasting sub-sample (n = 2551).Total sedentary time and time in ≥ 20 minute prolonged sedentary bouts were associated with higher insulin and lower diastolic blood pressure levels (P < 0.05). On average, each additional 10 breaks/day was associated with 0.83 (95%CI: 1.35, 0.31) cm lower waist circumference, 0.32 (0.62, 0.02) mm Hg lower systolic blood pressure, 0.01 (0.00, 0.02) mmol/l higher HDL-cholesterol, 3.72 (1.34, 6.13) % lower triglycerides, 0.57 (0.23, 0.92) % lower glucose, and 4.19 (1.80, 6.63) % lower insulin.These findings in a large representative sample of Canadian adults indicate that breaking up sedentary time may be particularly important for cardiometabolic health.