scholarly journals Baseline predictors of maintenance of intervention-induced changes in physical activity and sitting time among diabetic and pre-diabetic patients: a descriptive case series

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Judith HM Helmink ◽  
Jessica S Gubbels ◽  
Femke N van Brussel-Visser ◽  
Nanne K de Vries ◽  
Stef PJ Kremers
Keyword(s):  
Physical Activity ◽  
Case Series ◽  
Sitting Time ◽  
Diabetic Patients ◽  
Induced Changes

scholarly journals Influence of physical activity and sleep duration on the retinal and choroidal structure in diabetic patients: An SS-OCT study

2020 ◽  
Author(s):  
Sen Liu ◽  
Wei Wang ◽  
Zihan Qiu ◽  
Miao He ◽  
Wenyong Huang
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Choroidal Thickness ◽  
Retinal Nerve Fibre Layer ◽  
Sitting Time ◽  
Diabetic Patients ◽  
Inner Plexiform Layer ◽  
Confounding Factors ◽  
Metabolic Equivalents ◽  
Sleep Benefit

ABSTRACTPurposeTo assess the association between physical activity, sleep duration, sitting time, and alterations of posterior segment structures with swept-source optical coherence tomography (SS-OCT).MethodsPatients with diabetic retinopathy (DR) were recruited, and diabetic patients without retinopathy (non-DR) who matched for age and duration of diabetes were used as control. The physical activity, siting time, and sleep duration were obtained by using standardized questionnaire. OCT parameters included: retinal nerve fibre layer (RNFL) thickness, ganglion cell inner plexiform layer (GC-IPL) thickness, retinal thickness, and choroidal thickness (CT). Linear regression was conducted to analyse the association.ResultsEach group included 116 diabetic patients. Average macular CT was positively correlated with metabolic equivalents (MET) only in the DR group, independent of age, gender, and other potential confounding factors (β = 1.163, P = 0.006). Average macular CT was also positively correlated with sleep duration only in the non-DR group, independent of age, gender, and other potential confounding factors (β = 10.54, P = 0.031). No correlation was found between MET, sleep duration, and other OCT parameters. Sitting time was not significantly correlated with OCT parameters either.ConclusionsPhysical activity and sleep duration are both positively correlated with macular choroidal thickness; this suggests that more time in physical activity and sleep benefit the retina, while there was no association between sedentary time and OCT parameters. Further studies are warranted to clarify the underlying mechanisms and the role of physical activity and sleep in CT alterations and DR.

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 Effects of physical activity on cognitive function among patients with diabetes in China: a nationally longitudinal study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Anying Bai ◽  
Liyuan Tao ◽  
Jia Huang ◽  
Jing Tao ◽  
Jue Liu
Keyword(s):  
Physical Activity ◽  
Executive Function ◽  
Longitudinal Study ◽  
Cognitive Function ◽  
Episodic Memory ◽  
Age Groups ◽  
Screening Tools ◽  
Diabetic Patients ◽  
Patients With Diabetes ◽  
Lagged Dependent Variable

Abstract Background We aimed to examine the effect of physical activity on different cognitive domains among patients with diabetes. Methods We used two waves of data from the Chinese Health and Retirement Longitudinal Study (CHARLS, 2013–2015), a nationally representative dataset of Chinese population aged over 45. Total physical activity scores were calculated based on the International Physical Activity Questionnaire (IPAQ). Executive function and episodic memory were used as measures of cognitive function. We conducted lagged dependent variable models to explore the association between physical activity and cognitive function in full sample as well as two different age groups (45–65, ≥65). Results: 862 diabetic patients were included. We found that diabetic participants who had greater level of physical activity at baseline were associated with better episodic memory function in 2 years (p < 0.05). Moreover, physical activity was significantly associated with less decline in episodic memory in fully adjusted models, and the associations were stronger among patients aged 45–65 years (p < 0.05). No statistically significant association was found between physical activity and executive function in all age groups. Conclusions Physical activity may prevent some of the potential decline in episodic memory in diabetic patients. Clinicians and public health departments should strengthen the promotion of physical activity and develop early screening tools among diabetic participants to prevent the progression of cognitive impairment.

scholarly journals Intermittent fasting: is there a role in the treatment of diabetes? A review of the literature and guide for primary care physicians

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Michael Albosta ◽  
Jesse Bakke
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Treatment Option ◽  
Primary Care Physicians ◽  
Case Series ◽  
Current Evidence ◽  
Intermittent Fasting ◽  
Diabetic Patients ◽  
Medicinal Treatment

Abstract Background Type 2 Diabetes is a metabolic disorder characterized by hyperglycemia that causes numerous complications with significant long-term morbidity and mortality. The disorder is primarily due to insulin resistance particularly in liver, skeletal muscle, and adipose tissue. In this review, we detail the hormonal mechanisms leading to the development of diabetes and discuss whether intermittent fasting should be considered as an alternative, non-medicinal treatment option for patients with this disorder. Methods We searched PubMed, Ovid MEDLINE, and Google Scholar databases for review articles, clinical trials, and case series related to type 2 diabetes, insulin resistance, and intermittent fasting. Articles were carefully reviewed and included based on relevance to our topic. We excluded abstracts and any non-English articles. Results The majority of the available research demonstrates that intermittent fasting is effective at reducing body weight, decreasing fasting glucose, decreasing fasting insulin, reducing insulin resistance, decreasing levels of leptin, and increasing levels of adiponectin. Some studies found that patients were able to reverse their need for insulin therapy during therapeutic intermittent fasting protocols with supervision by their physician. Conclusion Current evidence suggests that intermittent fasting is an effective non-medicinal treatment option for type 2 diabetes. More research is needed to delineate the effects of intermittent fasting from weight loss. Physicians should consider educating themselves regarding the benefits of intermittent fasting. Diabetic patients should consult their physician prior to beginning an intermittent fasting regimen in order to allow for appropriate oversight and titration of the patients medication regimen during periods of fasting.

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.

The effect of real‐time monitoring of physical activity intensity in diabetic patients

2021 ◽  
Author(s):  
Rumi Tanaka ◽  
Kimie Fujita ◽  
Satoko Maeno ◽  
Kanako Yakushiji ◽  
Satomi Tanaka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Real Time ◽  
Diabetic Patients ◽  
Physical Activity Intensity ◽  
Real Time Monitoring ◽  
Activity Intensity

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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