Although PWS presented better cardiometabolic profiles than OB and lower MetS risk, associations between body fat, MetS and cytokines were somewhat similar for both groups, with the exception of CRP. Results suggest a potential role for MVPA related to MetS and inflammation and extend associations shown in OB to PWS.

This study investigated the cross-sectional and longitudinal associations of the substitution of non-school time light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), and sedentary time (ST) with adiposity in boys and girls. Boys (n = 65, baseline Mage= 9.93 ± 0.86 years) and girls (n = 77, baseline Mage = 10.17 ± 0.95 years) wore waist-worn accelerometers (ActiGraph GT3X) at baseline and at a 30-month follow-up, from which non-school time LPA, MVPA, ST, and total device wear were quantified. Body mass index (BMI) and waist-to-height-ratio (WHR) were measured at baseline and follow-up. Body fat percent (BF%) was obtained at follow-up only. Isotemporal substitution models assessed the cross-sectional and longitudinal associations of reallocating non-school time activity with BMI, WHR and BF%. In boys, replacing 30 min/day of LPA with MVPA was cross-sectionally (β = −8.26, p < 0.05) associated with a lower BF%. Replacing 30 min/day of ST with MVPA was cross-sectionally (β = −6.02, p < 0.05) associated with a lower BF% in boys. Longitudinally in boys, replacing 30 min of change in LPA with MVPA (β = −7.42, p < 0.10) and replacing 30 min of change in MVPA with ST (β = 5.78, p < 0.10) over 30 months was marginally associated with less BF%. Associations were null in girls (p > 0.05). These results may support targeting activity reallocation during non-school time for the purposes of adiposity improvement in boys. A multi-behavioral approach may be more appropriate for girls, as non-school time activity may not be driving adiposity status.

Background and Purpose: Activity trackers have grown increasingly popular, yet research grade accelerometers, like Actigraph, are still very expensive and must be worn on the waist. This study correlated the low-cost wrist-worn SQORD band to the Actigraph accelerometer to assess physical activity (PA) in youth from a low-income area. Methods: Forty-one participants (22:19 male:female; mean age= 10.7 years) in an after-school program participated. Participants wore a waist-worn Actigraph accelerometer and a wrist-worn SQORD for seven days. Abdominal, upper and lower body strength and endurance, and aerobic capacity were assessed through FITNESSGRAM tests. Bivariate correlations were used to analyze the relationship between moderate-to-vigorous PA (MVPA) via the Actigraph and SQORD and to examine relationships between physical fitness and MVPA. Results: At 8- and 10-hour wear-time, compliance with wearing the devices was higher with the SQORD than the Actigraph. A correlation was found between MVPA via SQORD and Actigraph (r=0.651). Neither the SQORD or Actigraph was associated with any fitness measures (r = -0.061; – 0.817). Conclusion: The SQORD appears to be successful in tracking MVPA in youth and was worn more than the Actigraph. Wrist-worn, consumer-grade devices may be a cost-effective alternative to traditional accelerometers for physical education programs and research in low-income populations.

Introduction. Sedentary behavior (SB) is highly prevalent among older adults, with more than 25% engaging in 6 hours or more of SB daily. SB has been associated with several cardiometabolic biomarkers in younger adults; however, there is a paucity of research in older populations. This study examined associations between patterns of SB and cardiometabolic biomarkers in community-dwelling adults aged 55 years and older. Methods. Data were drawn from a convenience sample of 54 community-dwelling individuals (12 males, 42 females; mean age = 72.6 ± 6.8 years, range = 56–89 years). Cardiometabolic biomarkers assessed included systolic (SBP) and diastolic blood pressure (DBP), body mass index, waist circumference, and fasting blood glucose and cholesterol parameters. SB was assessed via accelerometry over a 7-day period, and measures included daily time in SB, number and length of sedentary bouts, the number and length of breaks between sedentary bouts, moderate-to-vigorous physical activity (MVPA), and light physical activity (LPA). Associations between the SB measures and each cardiometabolic risk factor were examined using separate stepwise multiple regression models, controlling for sex, MVPA, and accelerometer wear time. Isotemporal substitution models were used to examine the change in cardiometabolic outcomes when SB is replaced by an equal duration of either LPA or MVPA. Results. Adjusted regression analyses showed that daily sedentary time was positively associated with DBP (β = 0.052, ∆R2 = 0.112, p=0.022) and inversely associated with HDL cholesterol (β = −0.111, ∆R2 = 0.121, p=0.039). Sedentary bout length was also associated with DBP and HDL cholesterol (β = 0.575, ∆R2 = 0.152, p = 0.007; β = −1.529, ∆R2 = 0.196, p=0.007, respectively). Replacement of 10 minutes of SB a day with LPA was associated with improved DBP and HDL cholesterol (p≤0.05). No other significant associations (p≤0.05) were found. Conclusion. Sitting for prolonged periods of time without interruption is unfavorably associated with DBP and HDL cholesterol. Prospective studies should identify causal relationships and observe specific changes in cardiometabolic profiles in older populations.