Cardio-metabolic impact of changing sitting, standing, and stepping in the workplace

According to cross-sectional and acute experimental evidence, reducing sitting time should improve cardio-metabolic health risk biomarkers. Furthermore, the improvements obtained may depend on whether sitting is replaced with standing or ambulatory activities. Based on data from the Stand Up Victoria multi-component workplace intervention, we examined this issue using compositional data analysis - a method that can examine and compare all activity changes simultaneously.Participants receiving the intervention (n=136 ≥0.6 full-time equivalent desk-based workers, 65% women, mean±SD age=44.6 ±9.1 years from seven worksites) were asked to improve whole-of-day activity by standing up, sitting less and moving more. Their changes in the composition of daily waking hours (activPAL-assessed sitting, standing, stepping) were quantified, then tested for associations with concurrent changes in cardio-metabolic risk (CMR) scores and 14 biomarkers concerning body composition, glucose, insulin and lipid metabolism. Analyses were by mixed models, accounting for clustering (3 months, n=105-120; 12 months, n=80-97).Sitting reduction was significantly (

Moderators of health behavior initiation and maintenance in a randomized telephone counseling trial

Objective. This study compares moderators of initiation and maintenance of health behavior changes

Sedentary time in people with obstructive airway diseases

Sedentary time (ST) and light-intensity physical activity (LIPA) are movement behaviours associated with important health outcomes, but are not widely explored in respiratory diseases. We aimed to describe their volume and/or accumulation patterns in moderate-severe COPD, bronchiectasis and severe asthma using the accurate postural-based accelerometer activPAL, contrasting these values with a non-respiratory population. We also sought to test the cross-sectional associations of these behaviours with disease characteristics by diagnostic group, and as a combined label-free disease group. Results Adults with COPD (n = 64), bronchiectasis (n = 61), severe asthma (n = 27), and controls (n = 61) underwent cross-sectional measurements of volume and/or accumulation patterns of ST and LIPA. The prevalence and characteristics, and associations with exercise capacity, health-status, airflow-limitation, dyspnoea, systemic inflammation and exacerbations were analysed. ST volumes in COPD were higher than that of bronchiectasis and severe asthma. Values in bronchiectasis and severe asthma were similar to each other and controls (≈8.9 h/day). Their accumulation patterns were also significantly better than in COPD, but similar if not worse compared to controls. LIPA volumes in bronchiectasis and severe asthma were also higher than those of COPD (p < 0.05) and controls. In bronchiectasis and COPD, lower levels/better patterns of ST accumulation, as well as higher LIPA volume were associated with better clinical characteristics. These associations may be mediated by airflow limitation. Conclusions The discordance between engagement in ST volume versus ST patterns highlights the importance of accounting for both these different yet complementary metrics. ST and LIPA are low-intensity activities associated with important clinical characteristics in people with chronic respiratory diseases. Trial registration Not applicable

Associations of objectively assessed physical activity and sedentary time with biomarkers of breast cancer risk in postmenopausal women: findings from NHANES (2003-2006)

Physical activity reduces the risk of postmenopausal breast cancer through multiple inter-related biologic mechanisms; sedentary time may contribute additionally to this risk. We examined cross-sectional associations of objectively assessed physical activity and sedentary time with established biomarkers of breast cancer risk in a population-based sample of postmenopausal women. Accelerometer, anthropometric and laboratory data were available for 1,024 (n = 443 fasting) postmenopausal women in the U.S. National Health and Nutrition Examination Survey 2003–2006. Associations of quartiles of the accelerometer variables (moderate- to vigorous-intensity activity, light-intensity activity and sedentary time per day; average length of active and sedentary bouts) with the continuous biomarkers were assessed using linear regression models. Following adjustment for potential confounders, including sedentary time, moderate- to vigorous-intensity activity had significant (P < 0.05), inverse associations with all biomarker outcomes (body mass index, waist circumference, C-reactive protein, fasting plasma glucose, fasting insulin and homeostasis model assessment of insulin resistance). Light-intensity activity and sedentary time were significantly associated in fully adjusted models with all biomarkers except fasting glucose. Active bout length was associated with a smaller waist circumference and lower C-reactive protein levels, while sedentary bout length was associated with a higher BMI. The associations of objectively assessed moderate- to vigorous-intensity activity with breast cancer biomarkers are consistent with the established beneficial effects of self-reported exercise on breast cancer risk. Our findings further suggest that light-intensity activity may have a protective effect, and that sedentary time may independently contribute to breast cancer risk

Considerations when using the activPAL monitor in field based research with adult populations

Research indicates that high levels of sedentary behavior (sitting or lying with low energy expenditure) are adversely associated with health. A key factor in improving our understanding of the impact of sedentary behavior (and patterns of sedentary time accumulation) on health is the use of objective measurement tools that collect date and time-stamped activity information. One such tool is the activPAL monitor. This thigh-worn device uses accelerometer-derived information about thigh position to determine the start and end of each period spent sitting/lying, standing, and stepping, as well as stepping speed, step counts, and postural transitions. The activPAL is increasingly being used within field-based research for its ability to measure sitting/lying via posture. We summarise key issues to consider when using the activPAL in physical activity and sedentary behavior field-based research with adult populations. It is intended that the findings and discussion points be informative for researchers who are currently using activPAL monitors or are intending to use them. Pre-data collection decisions, monitor preparation and distribution, data collection considerations, and manual and automated data processing possibilities are presented using examples from current literature and experiences from 2 research groups from the UK and Australia

The Living Well after Breast Cancer™ Pilot Trial: A weight loss intervention for women following treatment for breast cancer

Aim: Obesity is associated with poor prognosis and risk of treatment side-effects in breast cancer survivors. This pilot study assessed the feasibility, acceptability, safety and efficacy of a telephone-delivered weight loss intervention, among women (BMI 25–40kg/m2) following treatment for stage I–III breast cancer, on weight loss (primary outcome), quality of life and treatment-related side-effects (versus usual care). \ud \ud Methods: Ninety women (mean±SD age: 55.3±8.7years; BMI: 31.0±4.3kg/m2; 15.9±2.9 months post-diagnosis), recruited from a state-based cancer registry, were randomized to a weight loss (diet and physical activity) intervention (n=45) or usual care (n=45). Data collected at baseline and six-months included weight, body composition, quality of life, fatigue and body image. Acceptability and satisfaction were assessed in intervention participants. \ud \ud Results: Oncologists provided consent to contact 82.6% of patients, with 84.1% of those women contacted and eligible consenting to participate. Compared with usual care, mean weight loss was significantly greater in the intervention arm (-3.1kg [95%CI: -5.4, -0.7]; -3.7% baseline weight [95%CI: -6.6, -0.9]), as were reductions in fat mass (-2.1kg [95%CI: -4.2, -0.1]) and waist circumference (-4.0cm [95%CI: -6.6, -1.3]). No other statistically significant intervention effects were observed. Participants were highly satisfied with the intervention overall and it’s timing in relation to diagnosis/treatment. One reported adverse event (musculoskeletal injury) was attributable to the intervention.\ud \ud Conclusions: This weight loss intervention was feasible, acceptable, safe and effective for women 1–2 years after a breast cancer diagnosis. The effect of weight loss on quality of life and treatment-related side-effects should be examined further in fully-powered studies

Measurement of adults' sedentary time in population-based studies

Sedentary time (too much sitting) increasingly is being recognized as a distinct health risk behavior. This paper reviews the reliability and validity of self-reported and device-based sedentary time measures and provides recommendations for their use in population-based studies. The focus is on instruments that have been used in free-living, population-based research in adults. Data from the 2003–2006 National Health and Nutrition Examination Survey are utilized to compare the descriptive epidemiology of sedentary time that arises from the use of different sedentary time measures. A key recommendation from this review is that, wherever possible, population-based monitoring of sedentary time should incorporate both self-reported measures (to capture important domain- and behavior-specifıc sedentary time information) and device- based measures (to measure both total sedentary time and patterns of sedentary time accumulation)

Associations of Physical Activity and Sitting Time With the Metabolic Syndrome Among Omani Adults

High amounts of time spent sitting can increase cardiovascular disease risk and are deleteriously associated cardio-metabolic risk biomarkers. Though evidence suggests that accruing sitting time in prolonged periods may convey additional risk, verification using high-quality measures is needed. We examined this issue in adults from the Australian Diabetes, Obesity and Lifestyle Study, using accurate measures of sitting accumulation