Sedentary lifestyle and body composition in type 2 diabetes

Background Body composition alterations may participate in the pathophysiological processes of type 2 diabetes (T2D). A sedentary lifestyle may be responsible for alterations of body composition and adverse consequences, but on which body composition of patients with T2D and to what extent the sedentary lifestyle has an effect have been poorly investigated. Methods We recruited 402 patients with T2D for this cross-sectional study. All patients received questionnaires to evaluate sedentary time and were further divided into three subgroups: low sedentary time (LST, < 4 h, n = 109), middle sedentary time (MST, 4–8 h, n = 129) and high sedentary time (HST, > 8 h, n = 164). Each patient underwent a dual energy X-ray absorptiometry (DXA) scan to detect body composition, which included body fat percentage (B-FAT), trunk fat percentage (T-FAT), appendicular skeletal muscle index (ASMI), lumbar spine bone mineral density (BMD) (LS-BMD), femoral neck BMD (FN-BMD), hip BMD (H-BMD) and total BMD (T-BMD). Other relevant clinical data were also collected. Results With increasing sedentary time (from the LST to HST group), B-FAT and T-FAT were notably increased, while ASMI, LS-BMD, FN-BMD, H-BMD and T-BMD were decreased (p for trend < 0.01). After adjustment for other relevant clinical factors and with the LST group as the reference, the adjusted mean changes [B (95% CI)] in B-FAT, T-FAT, ASMI, LS-BMD, FN-BMD, H-BMD and T-BMD in the HST group were 2.011(1.014 to 3.008)%, 1.951(0.705 to 3.197)%, − 0.377(− 0.531 to − 0.223) kg/m2, − 0.083(− 0.124 to − 0.042) g/cm2, − 0.051(− 0.079 to − 0.024) g/cm2, − 0.059(− 0.087 to − 0.031) g/cm2 and − 0.060(− 0.088 to − 0.033) g/cm2, p < 0.01, respectively. Conclusions A sedentary lifestyle may independently account for increases in trunk and body fat percentage and decreases in appendicular skeletal muscle mass and BMD of the lumbar spine, femoral neck, hip and total body in patients with T2D.

Long sedentary time is associated with worsened cardiometabolic risk markers among working adults in Eastern Ethiopia

This study aimed to examine the associations of sedentary time and cardiometabolic risk markers among working adults in Eastern Ethiopia. A cross-sectional study was conducted among 1,200 participants. Data were collected using the World Health Organization NCD STEPS survey instrument, and the sedentary behavior questionnaire. The biochemical parameters were analyzed by using the Mindray BS-200 chemistry analyzer. STATA version 16.1 software was used for analysis. The associations between sedentary time and cardiometabolic risk markers controlling confounders were examined using linear regression models. An adjusted coefficient (β) with the 95% confidence interval (CI) was used to report the results. P-value < 0.05 was considered for statistical significance. One hour per day increases in total sedentary time increases the average body mass index (β = 0.61kg/m2: 95% CI: 0.49, 0.71), waist circumference (β = 1.48cm: 95% CI:1.14-1.82), diastolic blood pressure (β = 0.87mmHg: 95% CI: 0.56-1.18), systolic blood pressure (β = 0.95mmHg: 95% CI: 0.45, 1.48), triglycerides (β = 7.07mg/dl: 95% CI: 4.01-10.14), total cholesterol (β = 3.52mg/dl: 95% CI: 2.02-5.02), fasting plasma glucose (β = 4.15mg/dl: 95% CI: 5.31-4.98) and low-density lipoprotein cholesterol (β = 2.14mg/dl: 95% CI: 0.96-3.33). Long sedentary time is significantly associated with cardiometabolic risk markers. Interventions to reduce sedentary time to decreasing the risk of cardiovascular diseases among working adults.

Determinants of life satisfaction and self-rated health in Iranian children and adolescents: a structure equation model

Background Life satisfaction (LS) and self-rated health (SRH) are related with health outcomes. It is expected that these items are also related to healthy behaviors. Therefore, this study was conducted in order to find out the main determinants of LS and SRH in nationwide representative sample of Iranian children and adolescents. Methods This study was performed on 13,834 students aged 7–18 years who were selected by multistage, stratified cluster sampling method from 30 provinces of Iran. Life satisfaction and SRH were assessed through a questionnaire based on World Health Organization-Global School-based Student Health Survey protocols. Path analysis was applied to evaluate the relationships among the study variables using the structural modeling. Results Life satisfaction was directly affected by age (− 0.037 in boys & -0.028 in girls); sedentary time (0.055 in boys & 0.048 in girls); school satisfaction (0.249 in boys & 0.250 in girls); and well-being (0.186 in boys & 0.176 in girls). Self-rated health was directly affected by LS (0.28 in boys & girls) and school satisfaction (0.21 in boys & 0.22 in girls); and indirectly affected by age (− 0.046 in boys & -0.017 in girls); sedentary time (− 1.99 in boys & -0.145 in girls); family size (− 0.005 in boys & -0.014 in girls); and socio-economic status (0.015 in boys & 0.058 in girls). Conclusions This study indicated that school satisfaction had the greatest positive direct effect on both LS and SRH.

The Association Between Sedentary Screen Time, Non-screen-based Sedentary Time, and Overweight in Chinese Preschool Children: A Cross-Sectional Study

Introduction: Less is known about the effects of the different domains of sedentary behaviors on healthy weight in young children. This cross-sectional study examined the association between sedentary screen time (SST), non-screen-based sedentary time (NSST), and overweight (and obesity) in Chinese preschoolers.Methods: Data were collected from the Physical Activity and Health in Tianjin Chinese Children study (PATH-CC), involving healthy children 3–6 years old and their families. Children's overweight status was classified according to the international (IOTF) childhood BMI cut-offs. SST and NSST were reported in minutes/day by parents using the leisure-time sedentary behaviors questionnaire. Logistic regression models adjusted by sex, age, socioeconomic status, outdoor play, and sleep duration were used.Results: In a total of 971 children (55.4% boys), 11.8% were overweight. Generally, children spent 1 h/day in SST and 1 h/day in NSST. Multiple models showed that children who spent more time in SST were more likely to be overweight [OR and 95% CI: 1.22 (1.03–1.45)]. No correlation between time spent on NSST and children with overweight was found (P &gt; 0.05).Conclusions: This study indicated that children who spent more time in SST were more likely to be overweight, but a null correlation between NSST and overweight was found. Longitudinal studies designed to identify associations between exposures to screen media and changes in metabolic parameters during a child's early years are needed.

Effects of A Gamified, Behavior Change Techniques-Based Mobile Application on Increasing Physical Activity and Reducing Anxiety in Adults with Autism Spectrum Disorder: A Preliminary Study (Preprint)

BACKGROUND Physical activity (PA) has an impact on physical and mental health in neurotypical populations, and addressing these variables may improve the prevalent burden of anxiety in adults with autism spectrum disorder (ASD). Gamified mobile applications using behavior change techniques (BCTs) present a promising way to increase PA and reduce sedentary time, thus reducing anxiety in adults with ASD. OBJECTIVE This study aimed to compare the efficacy of a gamified and BCTs-based mobile application, PuzzleWalk vs. a commercially available application Google Fit (Google LLC, CA) on increasing PA and reducing sedentary time as an adjunct anxiety treatment for this population. METHODS Twenty-four adults with ASD were assigned to either PuzzleWalk or Google Fit group for five weeks, using a covariate adaptive randomization design. Physical activity and anxiety were assessed over 7 days at three different data collection periods (i.e., baseline, intervention start, intervention end) using triaxial accelerometers and the Beck Anxiety Inventory. Group differences in outcome variables were assessed by repeated measures ANCOVA adjusting for age, sex, and BMI. RESULTS Findings indicated that PuzzleWalk group spent a significantly larger amount of time for application use compared to Google Fit group (F 2, 38 = 5.07, p = 0.011, partial η2 = 0.21) while anxiety was unfavorably associated with increases in light PA and decreases in sedentary time after intervention (all p < 0.05). CONCLUSIONS Additional research is needed to clarify the determinants of physical and mental health as well as their interrelationship in adults with ASD. In addition, more research is needed to identify the factors that facilitate the use and adoption of mobile health technology in these individuals. The small, albeit insignificant, changes in PA and/or anxiety may be of clinical significance to adults with ASD. CLINICALTRIAL N/A