The effect of anthropometric characteristics and electronic device use on median nerve cross-sectional area: A cross-sectional study.

INTRODUCTION: This study aimed to identify the relationship between age, body mass index (BMI), weight, height, and wrist circumference and median nerve cross-sectional area (CSA). The study also aimed to examine the difference between CSA in individuals reporting a high amount (>4 hours per day) of electronic device use compared to those reporting a low amount (≤4 hours per day). MATERIALS/METHODS: One hundred twelve healthy individuals volunteered to participate in the study. Anthropometric, demographic, and self-reported electronic device usage data were collected. A transverse image of the median nerve was captured using ultrasonography from the dominant wrist at the carpal tunnel inlet . A Spearman's rho correlation coefficient was used to examine correlations between participant characteristics (age, BMI, weight, height, and wrist circumference) and CSA. Separate Mann-Whitney U tests were used to examine differences in CSA in those younger and older than age 40, in those with BMI <25 kg/m2 and BMI ≥25 kg/m2, and in high and low-frequency device users. RESULTS: BMI, weight, and wrist circumference showed fair correlations with CSA. There were significant differences in CSA between individuals younger than 40 and those older than 40 and between individuals with BMI <25kg/m2 and those with BMI ≥25kg/m2. There were no statistically significant differences in CSA in the low- and high-use electronic device groups. DISCUSSION: Anthropometric and demographic characteristics including age and BMI or weight should be considered when examining the CSA of the median nerve, especially when determining cut-off points for establishing a diagnosis of carpal tunnel syndrome.

Move more and sit less pilot intervention for individuals with heart failure.

BACKGROUND: Higher physical activity (PA) and lower sedentary behavior (SB) have been independently associated with lower risk of Heart Failure (HF). However, few individuals with HF engage in sufficient PA to confer benefits and many engage in high amounts of SB. This this feasibility study was conducted to examine changes in steps/day and SB in response to a tailored move more and sit less intervention. METHODS: This study used a single group, pre-post study design to assess changes in steps/day, inactive time, and time in moderate- to vigorous-intensity physical activity in individuals with HF stage C and D. Participants completed 1-week baseline assessment and an 11-week intervention. GEE Poisson model was used to evaluate the effect of intervention on change in PA and SB. RESULTS AND TRANSLATIONAL CONCLUSIONS: Thirteen participants with an average age of 69 ± 13 years that had been living with heart failure for 5.5 ± 4.2 years completed this intervention study. Average steps per day increased significantly over the intervention from 4778 steps/day at baseline to 5518 steps/day post-intervention. Time spent sedentary did not change. Move more and sit less interventions that include behavioral change techniques such as immediate feedback on steps can result in changes in walking behavior. Further strategies for reducing SB in this population should be explored.