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BackgroundRecent studies indicate that in-hospital exercise can mitigate the risk of functional decline in acutely hospitalized older adults. However, there is a lack of studies that compare different types of exercise interventions. This feasibility study was conducted in preparation for a three-armed randomized controlled trial. The aim was to examine the process feasibility (in terms of recruitment and retention rate, intervention compliance and acceptability), and scientific feasibility (in terms of presence of adverse events, and trends with 95% confidence intervals of the outcome measures) of the trial.MethodsPatients aged ≥75 years, were included from geriatric medical wards at three hospitals in Stockholm, Sweden. Participants in two groups received a specialized intervention program, i.e., Simple or Comprehensive exercise program, respectively and one group received usual care. Assessments were conducted at hospital admission and discharge, and data were analyzed with descriptive statistics.ResultsIn the spring 2022, 63 patients met the inclusion criteria and 39 accepted to participate (recruitment rate: 61.9%). COVID-19 affected the inclusion period. A total of 33 participants completed the study (i.e., were assessed at baseline and discharge, retention rate: 84.6%). Participants in the Simple and the Comprehensive exercise programs performed 88.9% and 80% of the possible training sessions, respectively. Both interventions were accepted by the participants and no adverse events were reported. The intervention groups showed a higher median change from admission to discharge than the control group on the Short Physical Performance Battery, the main outcome measure of the trial.ConclusionThe result of this pilot study suggests that the trial design is feasible and potentially useful for preventing functional decline in acutely hospitalized older adults. A full-scale trial will, however, require some considerations with respect to routines and logistics. The trial was registered at ClinicalTrials.gov, 4 May 2022, registration number NCT05366075.

The aim of this study was to investigate the potential associations of reallocating 30 minutes sedentary time in long bouts (>60 min) to sedentary time in non-bouts, light intensity physical activity (LPA) and moderate- to vigorous physical activity (MVPA) with cardiometabolic risk factors in a population diagnosed with prediabetes or type 2 diabetes.Participants diagnosed with prediabetes and type 2 diabetes (n = 124, 50% men, mean [SD] age = 63.8 [7.5] years) were recruited to the physical activity intervention Sophia Step Study. For this study baseline data was used with a cross-sectional design. Time spent in sedentary behaviors in bouts (>60 min) and non-bouts (accrued in

INTRODUCTION:To determine time spent at different physical activity intensities, accelerometers need calibration. The aim of this study was to develop and cross-validate intensity thresholds for the Actigraph GT3X+ accelerometer for wrist and hip placement in four-year-old children. METHODS:In total 30 children (49 months, SD 3.7) were recruited from five preschools in Stockholm. Equipped with an accelerometer on the wrist and another on the hip, children performed three indoor activities and one free-play session while being video recorded. Subsequently, physical activity intensity levels were coded every 5th second according to the Children's Activity Rating Scale. Receiver Operating Characteristic (ROC) curves was used to develop wrist and hip intensity thresholds, the upper threshold for sedentary, and lower threshold for moderate-to-vigorous physical activity (MVPA), for the vertical axis (VA) and for the vector magnitude (VM). A leave-one-out method was used to cross-validate the thresholds. RESULTS:Intensity thresholds for wrist placement were ≤ 178 (VA) and ≤ 328 (VM) for sedentary and ≥ 871 (VA) and ≥ 1393 (VM) counts/5 seconds for MVPA. The corresponding thresholds for hip placement were ≤ 43 (VA) and ≤ 105 (VM) for sedentary and ≥ 290 (VA) and ≥ 512 (VM) for MVPA. The quadratic weighted Kappa was 0.92 (95% CI 0.91-0.93) (VA) and 0.95 (95% CI 0.94-0.96) (VM) for the wrist-worn accelerometer and 0.76 (98% CI 0.74-0.77) and 0.86 (95% CI 0.85-0.87) for the hip-worn. CONCLUSION:Using wrist placement and the VM when measuring physical activity with accelerometry in 4-year-old children is recommended.

BACKGROUND:Physical activity (PA) is associated with health benefits, already in childhood. However, little is known about actual levels, patterns and gender differences in PA level in very young children. This study examines Chinese one-year-old children and their parents' PA levels and patterns, and assesses the correlations between children's PA level and gender, body mass index standard deviation score (BMI SDS), parental BMI and parental PA level. METHODS:Data from 123 families participating in the Early STOPP China study were used. Families were recruited based on parental BMI and were classified as either high-risk or low-risk of obesity. Parents and children wore an ActiGraph GT3X+ to assess the average PA levels. PA levels and hourly patterns during weekdays and weekends were examined as were correlations with gender, BMI SDS, parental BMI and parental PA levels. RESULTS:There were no significant differences in children's averaged PA between risk groups, genders, or between weekdays and weekends. Children's peak average activity level was at 7 pm and they were least active at 3 pm (p

To define accelerometer cut points for different walking speeds in older adults with mild to moderate Parkinson's disease.A volunteer sample of 30 older adults (mean age 73; SD 5.4 years) with mild to moderate Parkinson's disease walked at self-defined brisk, normal, and slow speeds for three minutes in a circular indoor hallway, each wearing an accelerometer around the waist. Walking speed was calculated and used as a reference measure. Through ROC analysis, accelerometer cut points for different levels of walking speed in counts per 15 seconds were generated, and a leave-one-out cross-validation was performed followed by a quadratic weighted Cohen's Kappa, to test the level of agreement between true and cut point-predicted walking speeds.Optimal cut points for walking speeds ≤ 1.0 m/s were ≤ 328 and ≤ 470 counts/15 sec; for speeds > 1.3 m/s, they were ≥ 730 and ≥ 851 counts/15 sec for the vertical axis and vector magnitude, respectively. Sensitivity and specificity were 61%-100% for the developed cut points. The quadratic weighted Kappa showed substantial agreement: κ = 0.79 (95% CI 0.70-0.89) and κ = 0.69 (95% CI 0.56-0.82) for the vertical axis and the vector magnitude, respectively.This study provides accelerometer cut points based on walking speed for physical-activity measurement in older adults with Parkinson's disease for evaluation of interventions and for investigating links between physical activity and health.