Breaks in Sedentary Time (original) (raw)
Related papers
Objectively Measured Sedentary Time, Physical Activity, and Metabolic Risk
Diabetes Care, 2007
OBJECTIVE—We examined the associations of objectively measured sedentary time and physical activity with continuous indexes of metabolic risk in Australian adults without known diabetes. RESEARCH DESIGN AND METHODS—An accelerometer was used to derive the percentage of monitoring time spent sedentary and in light-intensity and moderate-to-vigorous–intensity activity, as well as mean activity intensity, in 169 Australian Diabetes, Obesity and Lifestyle Study (AusDiab) participants (mean age 53.4 years). Associations with waist circumference, triglycerides, HDL cholesterol, resting blood pressure, fasting plasma glucose, and a clustered metabolic risk score were examined. RESULTS—Independent of time spent in moderate-to-vigorous–intensity activity, there were significant associations of sedentary time, light-intensity time, and mean activity intensity with waist circumference and clustered metabolic risk. Independent of waist circumference, moderate-to-vigorous–intensity activity time ...
Diabetes Care, 2007
OBJECTIVE—We examined the associations of objectively measured sedentary time and physical activity with continuous indexes of metabolic risk in Australian adults without known diabetes. RESEARCH DESIGN AND METHODS—An accelerometer was used to derive the percentage of monitoring time spent sedentary and in light-intensity and moderate-to-vigorous–intensity activity, as well as mean activity intensity, in 169 Australian Diabetes, Obesity and Lifestyle Study (AusDiab) participants (mean age 53.4 years). Associations with waist circumference, triglycerides, HDL cholesterol, resting blood pressure, fasting plasma glucose, and a clustered metabolic risk score were examined. RESULTS—Independent of time spent in moderate-to-vigorous–intensity activity, there were significant associations of sedentary time, light-intensity time, and mean activity intensity with waist circumference and clustered metabolic risk. Independent of waist circumference, moderate-to-vigorous–intensity activity time ...
Diabetologia, 2012
Aims/hypothesis We investigated whether objectively measured sedentary time and interruptions in sedentary time are associated with metabolic factors in people with type 2 diabetes. Methods We studied 528 adults (30-80 years) with newly diagnosed type 2 diabetes, who were participants in a diet and physical activity intervention. Waist circumference (WC), fasting HDL-cholesterol, insulin and glucose levels, HOMA of insulin resistance (HOMA-IR) and physical activity (accelerometer) were measured at baseline and at 6 months follow-up. Linear regression models were used to investigate cross-sectional and longitudinal associations of accelerometer-derived sedentary time and breaks in sedentary time (BST) with metabolic variables. Results In cross-sectional analyses each hour of sedentary time was associated with larger WC (unstandardised regression coefficient [B] [95% CI] 1.89 cm [0.94, 2.83]; p<0.001), higher insulin (B08.22 pmol/l [2.80, 13.65]; p00.003) and HOMA-IR (B00.42 [0.14, 0.70]; p00.004), and lower HDLcholesterol (B0−0.04 mmol/l [−0.06, −0.01]; p00.005). Adjustment for WC attenuated all associations. Each BST was associated with lower WC (B0−0.15 cm [− 0.24, −0.05]; p00.003) and there was evidence of a weak linear association with HDL-cholesterol, but no association with insulin levels or HOMA-IR. Volume of sedentary time at baseline predicted HDL-cholesterol (B0−0.05 mmol/l [−0.08, −0.01]; p00.007), insulin levels (B08.14 pmol/l [0.1.51, 14.78]; p00.016) and HOMA-IR (B00.49 [0.08, 0.90]; p00.020) at 6 months, though not WC. Baseline BST did not substantially predict any metabolic variables at follow-up. No change was seen in sedentary time or BST between baseline and 6 months follow-up. Conclusions/interpretation Higher sedentary time is associated with a poorer metabolic profile in people with type 2 diabetes.
Discrete Features of Sedentary Behavior Impact Cardiometabolic Risk Factors
Medicine & Science in Sports & Exercise, 2015
Sedentary behavior is linked to numerous poor health outcomes. Purpose-To determine the effects of 7 days of increased sitting in free-living individuals on markers of cardiometabolic risk. Methods-Ten, recreationally active participants (>150 min of moderate intensity physical activity per week, mean (SD) age; 25.2 y (5.7), BMI 24.9 m˙kg −2 (4.3)) completed a 7-day baseline period and a 7-day sedentary condition in their free-living environment. During baseline participants maintained normal activity. Following baseline, participants completed a 7-day sedentary condition. Participants were instructed to sit as much as possible, limit standing and walking and refrain from structured exercise and leisure time physical activity. The activPAL™ was used to assess sedentary behavior and physical activity. Fasting lipids, glucose and insulin were measured and an oral glucose tolerance test (OGTT) was performed following baseline and sedentary conditions. Results-In comparison to baseline, total sedentary time (mean change (95% CI); 14.9% (10.2, 19.6)), and time in prolonged/uninterrupted sedentary bouts significantly increased, while the rate of breaks from sedentary time was significantly reduced (21.4% (6.9, 35.9)). For the OGTT, 2 h plasma insulin (mean change (95% CI); 38.8 uU˙ml −1 (10.9, 66.8)) and area under the insulin curve (3074.1 uU˙ml −1˙1 20 min −1 (526.0, 5622.3)) were significantly elevated after the sedentary condition. Lipid concentrations did not change. Change in 2 h insulin was negatively associated with change in light intensity activity (r=-0.62) and positively associated with change in time in sitting bouts longer than 30 (r=0.82) and 60 min (r=0.83). Conclusion-Increased free-living sitting negatively impacts markers of cardiometabolic health and specific features of sedentary behavior (e.g. time in prolonged sitting bouts) may be particularly important.
Preventive Medicine Reports
The aim of this study was to investigate the associations of accelerometer-assessed sedentary time and breaks in sedentary time with 24-h events and duration of hypoglycaemia (< 3.9 mmol/l), euglycaemia (3.9-7.8 mmol/l), hyperglycaemia (> 7.8 mmol/l) and above target glucose (> 9 mmol/l). Thirty-seven participants with type 2 diabetes (age, 62.8 ± 10.5 years; body mass index, 29.6 ± 6.8 kg/m 2) in Glasgow, United Kingdom were enrolled between February 2016 and February 2017. Participants wore an activity monitor (activPAL3) recording the time and pattern of sedentary behaviour and a continuous glucose monitoring (CGM, Abbott FreeStyle Libre) for up to 14 days. Linear regression analyses were used to investigate the associations. Participants spent 3.7%, 64.7%, 32.1% and 19.2% of recording h/day in hypoglycaemia, euglycaemia, hyperglycaemia and above target, respectively. There was a negative association between sedentary time and time in euglycaemia (β = −0.44, 95% CI −0.86; −0.03, p = 0.04). There was a trend towards a positive association between sedentary time and time in hyperglycaemia (β = 0.36, 95% CI −0.05; 0.78, p = 0.08). Breaks in sedentary time was associated with higher time in euglycaemia (β = 0.38, 95% CI 0.00; 0.75, p = 0.04). To conclude, in individuals with type 2 diabetes, more time spent in unbroken and continuous sedentary behaviour was associated with poorer glucose control. Conversely, interrupting sedentary time with frequent breaks appears to improve glycaemic control. Therefore, this should be considered as a simple adjunct therapy to improve clinical outcomes in type 2 diabetes.
Journal of the American Heart Association, 2019
Background Isotemporal substitution examines the effect on health outcomes of replacing sedentary time with light‐intensity physical activity or moderate‐to‐vigorous intensity physical activity; however, existing studies are limited by cross‐sectional study designs. Methods and Results Participants were 1922 adults from the CARDIA (Coronary Artery Risk Development in Young Adults) study. Linear regression examined the associations of sedentary, light‐intensity physical activity, and moderate‐to‐vigorous intensity physical activity at year 20 (2005–2006) with waist circumference, blood pressure, glucose, insulin, triglycerides, high‐density lipoprotein cholesterol, and a composite risk score at year 30 (2015–2016). Models then examined change in activity with change in cardiometabolic risk over the same 10‐year period. Replacing 30 min/day of sedentary time with 30 min/day of light‐intensity physical activity at year 20 was associated with a lower composite risk score (−0.01 SD [95% ...
British Journal of Sports Medicine, 2014
Background Sedentary behaviours are increasingly recognised as raising the risk of cardiovascular disease events, diabetes and mortality, independently of physical activity levels. However, little is known about patterns of sedentary behaviour in older adults. Methods Cross-sectional study of 1566/3137 (50% response) men aged 71–91 years from a UK populationbased cohort study. Men wore a GT3x accelerometer over the hip for 1 week in 2010–2011. Mean daily minutes of sedentary behaviours, percentage of day in sedentary behaviours, sedentary bouts and breaks were calculated and summarised by health and demographic characteristics. Results 1403 ambulatory men aged 78.4 years (SD=4.6 years) with ≥600 min of accelerometer wear on ≥3 days had complete data on covariables. Men spent on average 618 min (SD=83), or 72% of their day in sedentary behaviours (<100 counts/min). On average, men accumulated 72 spells of sedentary behaviours per day, with 7 breaks in each sedentary hour. Men had on average 5.1 sedentary bouts of ≥30 min, which accounted for 43% of sedentary time, and 1.4 bouts of ≥60 min, which accounted for 19% of daily sedentary time. Men who were over 80 years old, obese, depressed and had multiple chronic conditions accumulated more sedentary time and spent more time in longer sedentary bouts. Conclusions Older men spend nearly three quarters of their day in sedentary behaviours, mostly accumulated in short bouts, although bouts lasting ≥30 min accounted for nearly half of the sedentary time each day. Men with medical risk factors were more likely to also display sedentary behaviour
Sedentarism and Metabolic Syndrome: Broadening the measurement of sedentarism
Archives of Community Medicine and Public Health, 2019
The metabolic syndrome (MS) is a combination of cardiovascular risk factors, including visceral obesity, low HDL cholesterol level, increased triglycerides, hyperglycemia and high blood pressure. This sequence of risk factors contributes towards the development of atherosclerotic cardiovascular disease (ACVD) and diabetes mellitus. Sedentarism is not widely studied. This habit is a determinant factor for chronic or acute diseases. This study tests the hypothesis of the association between overall sedentarism, including professional work, travel and leisure and the MS, in adult men and women in Salvador, Bahia. A population based cross-sectional study of both genders, ages ≥ 20 years. MS is defi ned by the criteria of the International Diabetes Foundation, characterized as the MS when considering the presence of abdominal obesity (waist ≥84 cm for women and ≥ 88cm for men) plus two of the following criteria: arterial hypertension (≥130/85mmHg) hyperglycemia (≥100mg/dl) hypertriglyceridemia (≥150mg/dl). Hypoalphalipoproteinemia (hdl-cholesterol below 40mg/dl for women and below 50 for men). Sedentarism is defi ned by means of the four criteria of physical inactivity described below. Athletes were excluded. Inactivity in the professional work: lack of physical activity in the professional work or the presence of light physical activity such as: working mostly seated or less than 25% of the time standing or moving around. Inactivity in household work: lack of household work or light work, such as small repairs, light cleaning or preparation of food. Physical inactivity during travel to work: traveling by car or bus, walking less than 30 minutes as well as performing most of the outside activities by car or walking. Physical inactivity during leisure: leisure does not include physical activities. The fi nal sample totaled 1,333 individuals. In logistic regression, the adjusted prevalence ratio (PR) of overall sedentarism and the MS for women was of 1.31 (CI95% 0.86-1.91). For men the adjusted prevalence ratio was of 1.68 (CI95% 1.05-2.53), statistically signifi cant. This paper reveals, in men, that overall sedentarism is associated to the MS. There was no statistically signifi cant association between sedentarism exclusively in leisure and the MS. Marital status was a confounding factor and raises the issue of this variable not being widely studied as a cardiovascular risk factor.