scholarly journals Objectively Monitored Physical Activity and Sitting Time in Bariatric Patients Pre- and Post-Surgery

2015 ◽  
Vol 2 (2) ◽  
Keyword(s):  
Physical Activity ◽  
Sitting Time ◽  
Post Surgery ◽  
Bariatric Patients

scholarly journals A Retrospective Study about the Differences in Cardiometabolic Risk Indicators and Level of Physical Activity in Bariatric Surgery Patients from Private vs. Public Units

2019 ◽  
Vol 16 (23) ◽  
pp. 4751 ◽  
Author(s):  
Rebeca Rocha de Almeida ◽  
Márcia Cândido de Souza ◽  
Dihogo Gama de Matos ◽  
Larissa Monteiro Costa Pereira ◽  
Victor Batista Oliveira ◽  
...  
Keyword(s):  
Physical Activity ◽  
Bariatric Surgery ◽  
Retrospective Study ◽  
Healthcare System ◽  
Cardiometabolic Risk ◽  
Risk Indicators ◽  
Public Healthcare ◽  
Post Surgery ◽  
Bariatric Patients ◽  
One Year

Background: Obesity is a pathology with a growing incidence in developing countries. Objective: To evaluate the evolution of cardiometabolic, anthropometrics, and physical activity parameters in individuals undergoing bariatric surgery (BS) in the public healthcare system (PUS) and private healthcare system (PHS). Methods: A longitudinal, observational, and retrospective study was conducted with 111 bariatric patients on two different health systems, with 60 patients from the PUS and 51 from the PHS. Cardiometabolic risk (CR) was analyzed by the assessment of obesity-related comorbidities (AORC) on admission and 3, 6, and 12 months after BS, and the International Physical Activity Questionnaire (IPAQ) was surveyed before and 12 months after BS. In addition, cardiometabolic risk was also assessed by biochemical (fasting glucose and complete lipidogram) and anthropometric (weight, weight loss, waist circumference, and waist-to-height ratio) parameters. Results: On admission, the parameters of severe obesity, systemic arterial hypertension (SAH), Diabetes mellitus (DM), and waiting time to BS were higher in the PUS. Additionally, in the PUS, AORC was reduced only in the SAH parameter. However, in the post-surgery moment, AORC reduced, and there was no difference between the two groups after BS. Regarding physical activity, the IPAQ showed a higher level of activity in the PHS before and one year after BS. Conclusion: At the PUS, BS is performed in patients with a higher degree of comorbidities, but BS improved the reduction of the CR at a similar level to those observed in the PHS.

Physical activity and sitting time in bariatric surgery patients 1-16 years post-surgery

2014 ◽  
Vol 4 (5) ◽  
pp. 267-276 ◽  
Author(s):  
K. M. Herman ◽  
T. E. Carver ◽  
N. V. Christou ◽  
R. E. Andersen
Keyword(s):  
Physical Activity ◽  
Bariatric Surgery ◽  
Sitting Time ◽  
Post Surgery

scholarly journals Changes in Physical Activity in Relation to Body Composition, Fitness and Quality of Life after Primary Bariatric Surgery: a Two-Year Follow-Up Study

2020 ◽  
Author(s):  
Malou A. H. Nuijten ◽  
Onno M. Tettero ◽  
Rens J. Wolf ◽  
Esmée A. Bakker ◽  
Thijs M. H. Eijsvogels ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Bariatric Surgery ◽  
Body Composition ◽  
Fat Free Mass ◽  
Post Surgery ◽  
Related Quality ◽  
Health Related ◽  
Bariatric Patients

Abstract Purpose The success of bariatric surgery varies largely, which may relate to variance in adopting a physically active lifestyle. This study aimed to determine whether two-year changes in physical activity (PA) were associated with weight loss, fat-free mass, cardiorespiratory fitness and quality of life up to two years after bariatric surgery. Materials and Methods In this retrospective study, 3879 post-bariatric patients were divided into three groups: 1) decreased PA (n = 388), 2) maintained PA (n = 2002) or 3) increased PA (n = 1498). Measurements regarding PA (Baecke questionnaire), body composition (bioelectrical impedance analysis), estimated cardiorespiratory fitness (Åstrand test) and health-related quality of life (RAND-36) were performed preoperatively and two years post-surgery. Results Bariatric patients with increased PA had greater excess weight loss (76.3% vs. 73.2% vs. 72.9%, P < 0.001), greater increases in %fat-free mass (Δ14.0% vs. 13.0% vs. 12.8%; P < 0.001), larger improvements in VO2max (Δ11.8 vs. 10.2 vs. 8.0 ml/kg/min, P < 0.001), and larger increases in health related quality of life subscale scores (P < 0.05) compared to patients with maintained- and decreased PA. Conclusions Bariatric patients who managed to induce improvements in habitual physical activity had better body composition, fitness and quality of life at 2 years post-surgery, compared to patients who maintained or even reduced their PA levels. These findings underscore the importance of perioperative-bariatric care programs to change lifestyle and achieve sustainable improvements in PA levels.

Physical Activity and Sitting Time in Bariatric Surgery Patients 1 to 16 Years Post-Surgery

2013 ◽  
Vol 37 ◽  
pp. S254
Author(s):  
Katya Herman ◽  
Tamara E. Carver ◽  
Kathleen M. Andersen ◽  
Nicolas V. Christou ◽  
Ross E. Andersen
Keyword(s):  
Physical Activity ◽  
Bariatric Surgery ◽  
Sitting Time ◽  
Post Surgery

Physical Activity and Sedentary Behavior in Bariatric Patients Long-Term Post-Surgery

2015 ◽  
Vol 25 (6) ◽  
pp. 1073-1077 ◽  
Author(s):  
Ryan E. R. Reid ◽  
Tamara E. Carver ◽  
Kathleen M. Andersen ◽  
Olivier Court ◽  
Ross E. Andersen
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Post Surgery ◽  
Bariatric Patients

scholarly journals Association of Physical Activity and Sitting Time with Overweight/Obesity in Chinese Occupational Populations

Obesity Facts ◽  
2021 ◽  
pp. 1-7
Author(s):  
Fan Yuan ◽  
Weiyan Gong ◽  
Caicui Ding ◽  
Hui Li ◽  
Ganyu Feng ◽  
...  
Keyword(s):  
Physical Activity ◽  
Lower Risk ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Active Transportation ◽  
Sitting Time ◽  
Work Time ◽  
Transportation Mode ◽  
Activity Intensity ◽  
Female Employees

<b><i>Abstract:</i></b> The aim of this study was to explore association of physical activity and sitting time with overweight/obesity in Chinese occupational populations for the development of intervention and prevention strategies for obesity. <b><i>Methods:</i></b> A total of 23,112 participants were selected from the 2010–2012 China National Nutrition and Health Survey (CNNHS). A logistics regression model was used to examine the associations of physical activity and sitting time with overweight/obesity by gender after adjusting for age, educational level, marital status, and family economic level. <b><i>Results:</i></b> The prevalence of overweight/obesity based on the WHO definition and the WGOC definition was 30.8% and 41.3%, respectively. Male employees with moderate and heavy occupation activity intensity had a lower risk for overweight/obesity than those with light occupation activity intensity (moderate: OR 0.90, 95% CI 0.82–0.98; heavy: OR 0.75, 95% CI 0.65–0.86), and the risk of overweight/obesity of male employees with long work-time spent sitting was higher than those with short work-time spent sitting (2–4.9 h/day: OR 1.26, 95% CI 1.14–1.40; ≥5 h/day: OR 1.29, 95% CI 1.15–1.44). The risk of overweight/obesity of male employees with active transportation mode was lower than those with inactive transportation mode (OR 0.91, 95% CI 0.84–0.99), while the risk of overweight/obesity of female employees with active transportation mode was higher (OR 1.14, 95% CI 1.04–1.25). Female employees with leisure-time physical activity (LTPA) for ≥150 min/week had lower risk of overweight/obesity than those with LTPA for &#x3c;150 min/week (OR 0.69, 95% CI 0.56–0.84). There was no significant association of leisure-time sitting and housework time with overweight/obesity in Chinese occupational populations. <b><i>Conclusion:</i></b> Occupation activity intensity, LTPA, transportation mode, and work sitting time were associated with overweight/obesity. Reducing work sitting time, moderate and heavy occupation activity intensity, and an active transportation mode could help male employees decrease the risk of overweight/obesity. Increasing leisure-time physical activity could reduce the risk of overweight/obesity in women. Our findings provided insight into the association of physical activity and sitting time with overweight/obesity. It will be necessary to carry out workplace-based interventions, have an active transportation mode, and increase leisure-time physical activity to decrease the risks of overweight/obesity.

scholarly journals The impact of sitting time and physical activity on mental health during COVID-19 lockdown

2021 ◽  
Author(s):  
Matthew Pears ◽  
Susanna Kola-Palmer ◽  
Liane Beretta De Azevedo
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Health Outcomes ◽  
Online Survey ◽  
Depression Score ◽  
Sitting Time ◽  
Multiple Stepwise Regression Analysis ◽  
Previous Diagnosis ◽  
The Uk ◽  
The Impact

Abstract Objective The primary aim of this study was to investigate the association between physical activity (PA) and sitting time on adults’ mental health (i.e., depression, anxiety and wellbeing) and the influence of mediators and confounders. Methods An online survey was disseminated in the UK between May and June 2020. A total of 284 participants (33.5 ± 12.4 years) self-reported their PA, sitting time and mental health through validated questionnaires. Results Multiple stepwise regression analysis revealed that being of younger age, female, on a lower income, with one or more comorbid health conditions, with a previous diagnosis of mood disorder and increased sitting time independently correlated with higher depression scores (F (13,219) = 12.31, p < 0.001), and explained 42% of the variance. Similar results were found for wellbeing where socio-demographic, health outcomes and sitting time influenced the subjective wellbeing (F (14,218) = 5.77, p < 0.001, 27% variance), although only socio-demographic and health outcomes contributed to the variation in anxiety score (F (13,219) = 7.84, p < 0.001, 32% variance). PA did not explain variation when sitting time was taken into account in any of the models. Combined analysis revealed that participants with lower sedentary time (< 8 h) and with both low or moderate and high PA presented a significantly lower depression score [low PA: (B = −2.7, 95% CI −4.88, −0.52); moderate and high PA (B = −2.7, −4.88, −0.52)]. Conclusion Sitting time was strongly associated with adverse mental health during COVID-19 lockdown and should be considered in future public health recommendations.

SMART STEP – SMARTphone-driven exercise and pedometer-based STEP intervention to promote physical activity among desk-based employees: Study protocol for a three-arm cluster randomized controlled trial

Work ◽  
2021 ◽  
pp. 1-17
Author(s):  
Baskaran Chandrasekaran ◽  
Chythra R Rao ◽  
Fiddy Davis ◽  
Ashokan Arumugam
Keyword(s):  
Physical Activity ◽  
Cognitive Performance ◽  
Sports Medicine ◽  
Cardiometabolic Risk ◽  
Controlled Trial ◽  
Fasting Blood Glucose ◽  
Subcutaneous Fat ◽  
Work Productivity ◽  
Sitting Time ◽  
Sickness Absenteeism

BACKGROUND: Prolonged sitting in desk-based office workers is found to be associated with increased cardiometabolic risk and poor cognitive performance. Technology-based physical activity (PA) interventions using smartphone applications (SmPh app) to promote PA levels might be effective in reducing cardiometabolic risk among sedentary population but the evidence remains inconclusive. OBJECTIVE: The objective is to investigate the effects of a technology-based PA intervention compared to PA education with a worksite manual or no intervention on PA levels, cardiometabolic risk, cognitive performance, and work productivity among desk-based employees. METHOD: A three-arm clustered randomized trial will be conducted. The study will be conducted among various administrative offices of a multifaceted university in India. Desk-based employees aged between 30 and 50 years (n = 159; 53 in each arm) will be recruited. Employees from various constituent institutions (clusters) of the university will be randomized into one of the three following groups - SMART: SmPh app-driven break reminders (visual exercise prompts) plus pedometer-based step intervention, TRADE: worksite PA education with a manual plus American College of Sports Medicine guided PA prescription, or CONTROL: usual work group. At baseline and after the 1st, 3rd and 6th month of the trial period, accelerometer-measured sitting time and PA levels, cardiometabolic risk (fasting blood glucose, triglycerides, insulin, blood pressure, heart rate variability, functional capacity, and subcutaneous fat), cognitive performance (executive function), sickness absenteeism and work limitations will be assessed by a blinded assessor. Therapist delivering interventions will not be blinded. CONCLUSION: This trial will determine whether a combined SmPh-app and pedometer-based intervention is more effective than education or no intervention in altering PA levels, cardiometabolic risk and cognitive performance among desk-based employees in India. This study has the potential to foster institutional recommendations for using SmPh-based technology and pedometers to promote PA at work.

scholarly journals Cox regression survival analysis with compositional covariates: Application to modelling mortality risk from 24-h physical activity patterns

2019 ◽  
Vol 29 (5) ◽  
pp. 1447-1465 ◽  
Author(s):  
DE McGregor ◽  
J Palarea-Albaladejo ◽  
PM Dall ◽  
K Hron ◽  
SFM Chastin
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Survival Analysis ◽  
Regression Model ◽  
Cox Regression ◽  
Public Health Problem ◽  
Sitting Time ◽  
Cox Regression Model ◽  
Log Ratio ◽  
Activity Behaviour

Survival analysis is commonly conducted in medical and public health research to assess the association of an exposure or intervention with a hard end outcome such as mortality. The Cox (proportional hazards) regression model is probably the most popular statistical tool used in this context. However, when the exposure includes compositional covariables (that is, variables representing a relative makeup such as a nutritional or physical activity behaviour composition), some basic assumptions of the Cox regression model and associated significance tests are violated. Compositional variables involve an intrinsic interplay between one another which precludes results and conclusions based on considering them in isolation as is ordinarily done. In this work, we introduce a formulation of the Cox regression model in terms of log-ratio coordinates which suitably deals with the constraints of compositional covariates, facilitates the use of common statistical inference methods, and allows for scientifically meaningful interpretations. We illustrate its practical application to a public health problem: the estimation of the mortality hazard associated with the composition of daily activity behaviour (physical activity, sitting time and sleep) using data from the U.S. National Health and Nutrition Examination Survey (NHANES).

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