Effectiveness of utilizing step-monitoring devices to prevent and treat obesity in children and adolescents: A systematic review and meta-analysis.

Background: Children and adolescents who are overweight and obese represent a growing public health issue. The use of step-monitoring devices as an intervention tool may be a simple, cost-effective, and easily replicable solution for addressing obesity in children and adolescents. No prior systematic reviews have evaluated the effectiveness of utilizing step-monitoring devices as an intervention method for obesity in children and adolescents. Methods: Previous studies on using step-monitoring devices to prevent and treat obesity in children and adolescents were identified in the following databases: Web of Science, EMBASE, PubMed, Cochrane Library, SPORTDiscus, and SCOPUS. The search period for each database ranged from the year of their inception to 8 March 2023 (updated in June 2024). Meta-analyses were performed for mean differences (MDs) in body mass index (BMI), BMI z-score (BMI-Z), body fat, waist circumference, and body weight. Results: From 12,907 relevant records, 23 studies were included in this meta-analysis. The included studies were mainly at low risk of bias, except for blinding. Step-monitoring device-based interventions had significant effects in reducing BMI-Z (MD -0.06; 95% CI -0.10 to -0.02), body fat (MD -0.95%; 95% CI -1.35 to -0.54), and body weight (MD -1.23 kg; 95% CI -2.36 to -0.10). However, there was no significant effect on BMI (MD -0.16 kg/m2; 95% CI -0.55 to 0.22) and waist circumference (MD -0.33 cm; 95% CI -1.23 to 0.58). Subgroup analyses indicated that participants who were overweight or obese showed greater intervention effects on BMI and BMI-Z compared to participants with normal weight. The programs with an intervention duration of ≤6 months presented a greater intervention effect on BMI-Z than those with an intervention duration of more than 6 months. The programs that established goals had a greater intervention effect on body fat than those that did not. Conclusions: Step-monitoring devices may be an effective and generalizable intervention tool for the prevention and treatment of obesity in children and adolescents. Future studies should further explore how to set step goals and the duration of interventions to achieve better intervention effects.

Physical activity in relation to metabolic health and obesity: The Feel4Diabetes study.

AIM: To examine physical activity levels in association with metabolic health and estimate the stability of metabolically healthy obese (MHO) phenotypes over a 2-year period. METHODS: In total, 2848 men and women from families at risk of the development of diabetes were recruited. Participants were classified as obese or non-obese and metabolic health was defined using five existing definitions. Physical activity was estimated with the International Physical Activity Questionnaire and pedometers. RESULTS: Prevalence of the MHO phenotype varied among definitions (0% to 20.2%). Overall, the MHO were more active than the metabolically unhealthy obese (MUO). Daily sitting hours (odds ratio [OR] = 1.055, 95% confidence interval [CI]: 1.009-1.104) and daily steps (per 500; OR = 0.934, 95% CI: 0.896-0.973) were remarkable predictors of metabolic health in individuals with obesity; and likewise, in individuals without obesity. After 2 years, 44.1% of baseline MHO adults transitioned to MUO, while 84.0% of the MUO at baseline remained at the same phenotype. Although physical activity was not a major determinant in phenotype transitioning, daily steps were associated with the maintenance of metabolic health over time in the non-obese group. CONCLUSION: A universally accepted definition for MHO is needed. Being physically active can contribute to a metabolically healthy profile even in the presence of obesity; still, MHO is a transient condition and physical activity alone may not be an adequate factor for its maintenance.

Evaluation of a Commercial Pregnancy Test Using Blood or Plasma Samples in High-Producing Dairy Cows.

This study evaluated a commercial pregnancy-associated glycoproteins (PAGs)-based pregnancy test using whole blood or plasma samples during early pregnancy (28-55 days of gestation) in high-producing dairy cows. Transrectal ultrasonography was used as the gold standard method. The study population constituted of 284 cows. False positive diagnoses were recorded from Day 60 to 89 and from Day 60 to 99 postpartum in blood and plasma samples, respectively. In early pregnancy screening, correct positive diagnoses were recorded in 75% and 100% of blood and plasma samples, respectively. High milk production was associated with negative results in blood samples and with the lowest test line intensity in plasma samples. False positive or negative diagnoses were recorded in 0% of both types of samples in cows previously diagnosed as pregnant and showing signs of estrus. In conclusion, the use of plasma was more effective than the use of blood in early pregnancy diagnosis. In cows previously diagnosed as pregnant and showing signs of estrus, both types of samples showed the same results. Because of large individual variations, normal single pregnancies could not be differentiated from twin pregnancies, from pregnancies with a recently dead conceptus, or from pregnancies that experienced subsequent pregnancy loss.

Digital technologies for step counting: between promises of reliability and risks of reductionism.

Step counting is among the fundamental features of wearable technology, as it grounds several uses of wearables in biomedical research and clinical care, is at the center of emerging public health interventions and recommendations, and is gaining increasing scientific and political importance. This paper provides a perspective of step counting in wearable technology, identifying some limitations to the ways in which wearable technology measures steps and indicating caution in current uses of step counting as a proxy for physical activity. Based on an overview of the current state of the art of technologies and approaches to step counting in digital wearable technologies, we discuss limitations that are methodological as well as epistemic and ethical-limitations to the use of step counting as a basis to build scientific knowledge on physical activity (epistemic limitations) as well as limitations to the accessibility and representativity of these tools (ethical limitations). As such, using step counting as a proxy for physical activity should be considered a form of reductionism. This is not per se problematic, but there is a need for critical appreciation and awareness of the limitations of reductionistic approaches. Perspective research should focus on holistic approaches for better representation of physical activity levels and inclusivity of different user populations.

The Physical Activity Level of Ophthalmologists at Work: A Pedometer-Based Study.

BACKGROUND: Ophthalmology practice entails many hours of physical inactivity, a potential long-term health hazard. This study aims to perform a pedometer-based evaluation of the physical activity (PA) levels of ophthalmologists at work. METHODS: This is a prospective observational study. Ophthalmologists from a single tertiary medical center were monitored with electronic pedometers during six morning sessions in the ophthalmology clinics. Working hours and the number of patients seen per clinic session were retrieved. The age and body mass index (BMI) of participants were documented. Step number per working hour (SPH) was calculated for all participants. Comparisons between males and females, practicing ophthalmologists (attendings) and ophthalmology residents (residents), and sub-specialties were performed. Correlations between SPH and age, BMI, and patients seen per clinic session were computed. FINDINGS: Pedometer readings for a total of 673 working hours were analyzed for 24 ophthalmologists, 17% female, 17 attendings, mean age 44.2 years (standard deviation (SD = 9.8). The average number of SPH for all participants was 359.7 (SD = 166.7). The mean PA level of residents was significantly higher than that of attendings (410.17 SPH vs. 338.95 SPH, respectively, p = .019). Oculoplastic surgeons demonstrated significantly higher step counts per hour than cornea specialists (439.90 SPH vs. 245.55 SPH, respectively, p = .002). A negative correlation was observed between SPH and the number of patients seen per clinic session (ρ = -0.274, p = .001). CONCLUSIONS/APPLICATIONS TO PRACTICE: Low number of SPH for ophthalmologists in this study indicates ophthalmology to be a highly sedentary medical occupation. PA levels of ophthalmologists in the workplace may indicate a personal health care challenge.

Effectiveness of interventions to increase device-measured physical activity in pregnant women: systematic review and meta-analysis of randomised controlled trials.

BACKGROUND: Interventions that provide pregnant women with opportunities to access and participate in physical activity have been shown to be beneficial to their health. Much of this evidence however has been based on self-reported physical activity data, which may be prone to inflated effects due to recall bias and social desirability bias. No previous synthesis of randomised controlled trials has assessed the effectiveness of these interventions using only device measured data, to assess their health benefits more accurately in pregnant women. This systematic review and meta-analysis aimed to address this evidence gap. DATA SOURCES: Cochrane Central Register of Controlled Trials, Medline, SportDiscus, APA PsycINFO, Embase and Web of Science databases were queried from inception up to December 2, 2021. An updated search of PubMed was conducted on May 16, 2022. STUDY ELIGIBILITY CRITERIA: Randomised controlled trials that recruited pregnant women, participating in any physical activity intervention (excluding interventions aimed entirely at body conditioning), compared with standard antenatal care (comparators), using device-measured total physical activity as an outcome were eligible for inclusion. METHODS: 3144 titles and abstracts were screened for eligibility, and 18 met the inclusion criteria. Data were analysed using random effect models, (standardised mean difference and mean difference), using data from baseline to last available follow-up (primary end point), and until between 24 to 30 weeks gestation. Gestational weight gain was also assessed at these timepoints in the included trials. RESULTS: No significant differences between the groups were found for total physical activity at last available follow-up or 24 to 30 weeks gestation (95% CI 0.03 to 0.27, p = 0.10: 95% CI -0.05 to 0.33, p = 0.15) respectively. On average, pregnant women randomised to a physical activity intervention completed 435 and 449 more steps per day than comparators at last available follow-up and at 24 to 30 weeks gestation (95% CI -0.5-870.6, p = 0.05: 95% CI 5.5-892.7, p = 0.05) respectively. Intervention participants also gained 0.69 kg less (95% CI -1.30 to -0.08, p = 0.03) weight than comparators. CONCLUSION: Based on device-measured data, interventions to promote physical activity during pregnancy have small but important effects on increasing physical activity and managing excessive gestational weight gain.

The Role of Exercise on Cardiometabolic Profile and Body Composition in Youth with Type 1 Diabetes.

Exercise has a direct positive effect on glycemic control by promoting insulin secretion from ß-pancreatic islet-cells and by increasing skeletal muscle glucose uptake. The reduction in daily insulin needs and the optimization of glycemic control improves the patient's quality of life, self-esteem, mental wellness, as well as diabetes-related mobility and mortality. The aim of this study was to investigate the effect of physical activity in children and adolescents with type-1 diabetes (T1D) on diabetic control, cardiovascular, and biochemical profiles; hs-CRP; IL6; leptin; and adiponectin levels of the population under study. This is a prospective cross-sectional study that involved 80 participants (36 boys and 44 girls) with T1D, who were aged 6-21 years and who attended the Diabetes and Metabolism Clinic of the 2nd Pediatric Department, University of Athens, "P & A Kyriakou" Children's Hospital of Athens. Twenty (25%) children were above the 75th percentile regarding total levels of physical activity, while 40 (50%) and 20 (25%) were between the 25th and 75th percentile, as well as below the 25th percentile, respectively. In the group with an intermediate level of exercise, physical activity was negatively associated with the participant's family situation (traditional, single parent, grandparent, with others, or by himself/herself) (p = 0.013), ferritin (p = 0.031), lipoprotein(a) [Lp(a)] (p = 0.016), and squared leptin levels (p = 0.040). Whereas in the groups with extreme vs. no exercise there was a negative association with the number of daily glucose measurements (p = 0.047). However, in the group with non-vigorous exercise, physical activity was positively associated with high density lipoprotein-c (HDL-c) levels (p = 0.048). The findings of this study are indicative of the beneficial role of exercise on children and adolescents with T1D, which is achieved by primarily improving their cardiometabolic profile through the amelioration of lipid profile [HDL-c, Lp(a)] and leptin levels, as well as by reducing chronic systemic inflammatory response (ferritin) and ultimately decreasing the overall diabetes morbidity.

Effect of Exercise on the Resting Metabolic Rate and Substrate Utilization in Women with Gestational Diabetes Mellitus: Results of a Pilot Study.

Regular physical activity during pregnancy has a positive effect on the mother and fetus. However, there is scarce data regarding the effect of exercise in pregnancies complicated by gestational diabetes mellitus (GDM). The aim of the present parallel, non-randomized, open-label, pilot, clinical study was to examine the effect of two exercise programs on the resting metabolic rate (RMR) and substrate utilization in pregnancies complicated by GDM, compared with usual care (advice for the performance of exercise). Forty-three pregnant women diagnosed with GDM between the 24th and 28th gestational week, volunteered to participate. Three groups were formed: Usual care (n = 17), Walking (n = 14), and Mixed Exercise (n = 12). The Usual care group was given advice on maintaining habitual daily activities without any additional exercise. The Walking group exercised regularly by walking, in addition to the habitual daily activities. Finally, the Mixed Exercise group participated in a program combining aerobics and strength exercises. Training intensity was monitored continuously using lightweight, wearable monitoring devices. The Walking and Mixed Exercise groups participated in the training programs after being diagnosed with GDM and maintained them until the last week of gestation. RMR and substrate utilization were analyzed using indirect calorimetry for all participants twice: between 27th and 28th gestational week and as close as possible before delivery. No differences were observed between groups regarding body composition, age, and medical or obstetrical parameters before or after the exercise programs. RMR was increased after the completion of the exercise interventions in both the Walking (p = 0.001) and the Mixed Exercise arms (p = 0.002). In contrast, substrate utilization remained indifferent. In conclusion, regular exercise of moderate intensity (either walking, or a combination of aerobic and strength training) increases RMR in women with GDM compared to the lack of systematic exercise. However, based on the present, pilot data, these exercise regimes do not appear to alter resting substrate utilization.

The Effect of Metabolic Profile on Leptin, Adiponectin, and hs-CRP in Children and Adolescents with Type 1 Diabetes.

Adipokines are a superfamily of cell signaling proteins produced by the adipose tissue. This study's purpose was to reveal the association of adipokines (leptin, adiponectin), hs-CRP, and IL-6 with well-known cardiovascular risk factors (lipid profile, diabetes control, obesity, physical activity) in children and adolescents with T1D. This cross-sectional study included 80 participants (36 boys) with T1D, aged (mean ± SD) 14.8 ± 3.4 years. Body Mass Index (BMI), metabolic profile, and level of physical activity were assessed (using pedometers) for evaluation of their effect on serum leptin, adiponectin, IL-6, and hs-CRP. Leptin levels were associated with BMI (beta = 0.184, p < 0.001), waist to hip ratio (beta = −2.017, p = 0.022), Low Density Lipoprotein-C (LDL-C) (beta = 0.021, p = 0.005), and fat mass (beta = 14.07, p < 0.001). Adiponectin was correlated with waist to height ratio (beta = 0.048, p = 0.006), ΒΜΙ (beta = −0.056, p = 0.005), and muscle mass (beta = −0.013, p = 0.020). Interestingly, hs-CRP was associated with weight (beta = 0.035, p < 0.001), ΒΜI (beta = 0.186, p < 0.001), fat mass (beta = 5.2859, p = 0.004), and muscle mass (beta = 0.027, p = 0.008). Multiple regression analysis of muscle mass unveiled associations with log hs-CRP (beta = −1.237, p = 0.014) and inverse IL−6 (beta = 18.57, p = 0.01). Finally, multiple regression models of fat mass unveiled associations with physical activity (7-day-total-step-count) (beta = −3.90 × 10−7, p = 0.027), Inverse IL-6 (beta = −0.1572, p = 0.009), and squared leptin (beta = 0.0077, p = 0.03). This study reports a positive association of leptin with LDL-C, BMI, fat mass, and hip circumference and a negative association of adiponectin with BMI and muscle mass. Finally, hs-CRP was associated with HbA1c, fat mass, and BMI. We propose that leptin, adiponectin, and hs-CRP could be used as prognostic indicators of cardiovascular risk in children with T1D.

Agreement Between StepWatch3 and ActiGraph wGT3X+ for Measuring Step-Based Metrics in People With Peripheral Artery Disease.

The authors investigated the agreement between StepWatch3™ (SW3) and ActiGraph™ wGT3X+ monitors for measuring step-based metrics in patients with peripheral artery disease and older adults. In 23 patients with peripheral artery disease and 38 older participants, the authors compared the metrics obtained during an outdoor (400-m track) walking session (step count) and a 7-day free-living period (step count and 60/30/5/1-min maximal or peak step accumulation) using the SW3 (ankle) and the wGT3X+ (hip) with the low-frequency extension filter enabled (wGT3X+/LFE) or not (wGT3X+/N). During outdoor walking session, agreement was high, particularly for wGT3X+/LFE: correlations ≥.98, median absolute percentage errors <1%, and significant equivalence using a ± 15% equivalence zone or narrower. In free living, no wGT3X+ method was equivalent to SW3 for step count. The wGT3X+/LFE was equivalent to SW3 regarding all step accumulation metrics using a ± 20% equivalence zone or narrower, with median absolute percentage errors <11%. The wGT3X+/LFE method is the best option for comparisons with SW3 in peripheral artery disease and older adults.

Walking to a better future? Postoperative ambulation after cesarean delivery and complications: A prospective study.

OBJECTIVE: To assess the correlation between maternal mobility after cesarean delivery and postoperative morbidity. METHODS: A prospective study was conducted in a tertiary hospital among patients after cesarean delivery. The women were recruited after surgery and before ambulation. Each participant received an accelerometer and routine instructions for mobilization. The patients were asked to wear the accelerometer constantly. It was collected at discharge. Electronic files were reviewed and patients' outcomes were analyzed. The Mann-Whitney U test was used to compare groups and a receiver operating characteristic curve was calculated for the threshold of number of steps. RESULTS: Data were analyzed for 199 patients, among which 107 (54.4%) deliveries were urgent and 90 (45.6%) were elective. The median number of steps was higher for multiparous women compared to nulliparous women (P = 0.035). Patients who developed complications after discharge walked significantly less during their hospitalization compared to those who did not. There was a trend toward increased risk for in-hospitalization complications among patients who walked less while hospitalized. A threshold of more than 9716 steps per hospitalization was found to be associated with fewer post-discharge complications. CONCLUSION: There is a significant correlation between the extent of ambulation after cesarean delivery and fewer postoperative complications.

Process evaluation of the Sophia Step Study- a primary care based three-armed randomized controlled trial using self-monitoring of steps with and without counseling in prediabetes and type 2 diabetes.

BACKGROUND: Describing implementation features of an intervention is required to compare interventions and to inform policy and best practice. The aim of this study was to conduct a process evaluation of the first 12 months of the Sophia Step Study: a primary care based RCT evaluating a multicomponent (self-monitoring of daily steps plus counseling) and a single component (self-monitoring of steps only) physical activity intervention to standard care on cardiometabolic health. METHODS: The evaluation was guided by the Medical Research Council Guidance for complex interventions. To describe the implementation communication with the health professionals implementing the interventions, attendance records and tracking of days with self-monitored pedometer-determined steps were used. Change in physical activity behaviour was measured at baseline, 6 and 12 months as daily steps by accelerometry. RESULTS: During April 2013 to January 2018 188 participants were randomized and intervened directly after inclusion. Response rate was 49% and drop out was 10%. A majority, 78%, had type 2 diabetes and 22% were diagnosed with prediabetes. Mean [Standard deviation (SD)] body mass index was 30.4 (4.4) kg/m2 and steps per day was 6566 (3086). The interventions were delivered as intended with minor deviation from the protocol and dose received was satisfying for both the multicomponent and single component group. The mean [95% Confidence Interval (CI)] change in daily steps from baseline to 6 months was 941(227, 1655) steps/day for the multicomponent intervention group, 990 (145, 1836) step/day for the single component group and - 506 (- 1118, 107) for the control group. The mean (95% CI) change in daily steps from baseline to 12 months was 31(- 507, 570) steps/day for the multicomponent intervention group, 144 (- 566, 853) step/day for the single component group and - 890 (- 1485, - 294) for the control group. There was a large individual variation in daily steps at baseline as well as in step change in all three groups. CONCLUSIONS: Applying self-monitoring of steps is a feasible method to implement as support for physical activity in the primary care setting both with and without counseling support. TRIAL REGISTRATION: ClinicalTrials.gov , NCT02374788 . Registered 2 March 2015.

Effectiveness of Self-Monitoring Approach Using Fitness Trackers to Improve Walking Ability in Rehabilitation Settings: A Systematic Review.

Background: A self-monitoring approach utilizing fitness trackers that provide feedback regarding physical activities has been recently applied to rehabilitation patients to promote voluntary walking activities. Although this approach has been proven to increase physical activity, it is uncertain whether the intervention improves walking ability. Aim: This review investigated whether the additional self-monitoring approach using activity trackers would improve walking ability in any type of rehabilitation setting. Methods: A systematic search was performed in four databases [PubMed (MEDLINE), The Cochrane Library, SPORTDiscus, and Cumulative Index to Nursing and Allied Health Literature] to identify studies that examined the self-monitoring approach combined with rehabilitative intervention vs. the same rehabilitative intervention only in participants with any unhealthy conditions. Two review authors independently assessed the eligibility of all the retrieved English literature published from 2009 to 2019, then discussed the final inclusion. The risk of bias was assessed referring to the criteria of the Cochrane Risk of Bias tool. The key findings were synthesized using narrative synthesis. In addition, a quantitative synthesis was conducted when more than two studies investigating the same disease were identified. Results: Eleven randomized controlled trials satisfied the eligibility criteria, nine of which had a lower risk of bias. The types of diseases included stroke, chronic obstructive pulmonary disease (COPD), cancer, Parkinson's disease, hemophilia, peripheral artery disease, post-total knee arthroplasty, and geriatric rehabilitation. Eight studies reported measures of walking endurance and four reported measures of gait speed. In the quantitative synthesis of two studies investigating COPD, there was a significant between-group difference in terms of changes in the 6-min walking distance from the baseline, which was favorable to the additional self-monitoring intervention group (mean difference: 13.1 m; 95% confidence interval, 1.8-24.5; 2 studies, 124 participants; p = 0.02; I 2 = 0%). Other available data revealed no consistent evidence regarding effectiveness of the intervention. Conclusions: The findings indicate that there is little evidence suggesting the effectiveness of the self-monitoring approach in improving walking ability in rehabilitation settings. However, a weak recommendation for patients with stable COPD was implicated in the quantitative synthesis. Further research would be required to explore the best indications for this self-monitoring approach. Systematic Review Registration: CRD 42020157695.

The effects of step-count monitoring interventions on physical activity: systematic review and meta-analysis of community-based randomised controlled trials in adults.

BACKGROUND: Step-count monitors (pedometers, body-worn trackers and smartphone applications) can increase walking, helping to tackle physical inactivity. We aimed to assess the effect of step-count monitors on physical activity (PA) in randomised controlled trials (RCTs) amongst community-dwelling adults; including longer-term effects, differences between step-count monitors, and between intervention components. METHODS: Systematic literature searches in seven databases identified RCTs in healthy adults, or those at risk of disease, published between January 2000-April 2020. Two reviewers independently selected studies, extracted data and assessed risk of bias. Outcome was mean differences (MD) with 95% confidence intervals (CI) in steps at follow-up between treatment and control groups. Our preferred outcome measure was from studies with follow-up steps adjusted for baseline steps (change studies); but we also included studies reporting follow-up differences only (end-point studies). Multivariate-meta-analysis used random-effect estimates at different time-points for change studies only. Meta-regression compared effects of different step-count monitors and intervention components amongst all studies at ≤4 months. RESULTS: Of 12,491 records identified, 70 RCTs (at generally low risk of bias) were included, with 57 trials (16,355 participants) included in meta-analyses: 32 provided change from baseline data; 25 provided end-point only. Multivariate meta-analysis of the 32 change studies demonstrated step-counts favoured intervention groups: MD of 1126 steps/day 95%CI [787, 1466] at ≤4 months, 1050 steps/day [602, 1498] at 6 months, 464 steps/day [301, 626] at 1 year, 121 steps/day [- 64, 306] at 2 years and 434 steps/day [191, 676] at 3-4 years. Meta-regression of the 57 trials at ≤4 months demonstrated in mutually-adjusted analyses that: end-point were similar to change studies (+ 257 steps/day [- 417, 931]); body-worn trackers/smartphone applications were less effective than pedometers (- 834 steps/day [- 1542, - 126]); and interventions providing additional counselling/incentives were not better than those without (- 812 steps/day [- 1503, - 122]). CONCLUSIONS: Step-count monitoring leads to short and long-term step-count increases, with no evidence that either body-worn trackers/smartphone applications, or additional counselling/incentives offer further benefit over simpler pedometer-based interventions. Simple step-count monitoring interventions should be prioritised to address the public health physical inactivity challenge. SYSTEMATIC REVIEW REGISTRATION: PROSPERO number CRD42017075810 .

Relationships Among Children's Independent Mobility, Active Transportation, and Physical Activity: A Multisite Cross-Sectional Study.

PURPOSE: Children's independent mobility (IM) may facilitate both active transportation (AT) and physical activity (PA), but previous studies examining these associations were conducted in single regions that provided limited geographical variability. METHOD: We recruited 1699 children (55.0% girls) in 37 schools stratified by level of urbanization and socioeconomic status in 3 regions of Canada: Ottawa, Trois-Rivières, and Vancouver. Participants wore a SC-StepRx pedometer for 7 days and completed a validated questionnaire from which we derived a 6-point IM index, the number of AT trips over a week, and the volume of AT to/from school (in kilometer per week). We investigated relationships among measures of IM, AT, and PA employing linear mixed models or generalized linear mixed models adjusted for site, urbanization, and socioeconomic status. RESULTS: Each unit increase in IM was associated with 9% more AT trips, 19% higher AT volume, and 147 more steps per day, with consistent results across genders. Both measures of AT were associated with marginally higher PA when pooling boys' and girls' data. Children in Vancouver engaged in more AT. PA did not vary across site, urbanization, or socioeconomic status. CONCLUSION: IM was associated with more AT and PA regardless of where children lived, underscoring a need for IM interventions.

Evaluating adult interaction during the Step It UP! game to increase physical activity in children.

A recent intervention, the Step it UP! game (Galbraith & Normand, 2017), consists of an interdependent group contingency to increase student physical activity. In addition, previous research demonstrated that adult interaction may reinforce physical activity (Larson et al., 2014). We extended research on the Step it UP! game by comparing the effects of no game, Step it UP! game, and Step it UP! game plus adult interaction on the number of steps taken by participants in a third-grade classroom during recess. Overall, 19 of the 25 participants took more steps during the Step it UP! game plus adult interaction compared to the Step it UP! game and no-game recesses. Furthermore, 20 participants preferred the Step it UP! game plus adult interaction. Results suggest that adult interaction can enhance the effects of the Step it UP! game to increase physical activity.

Mobility following cesarean delivery: an observational study utilizing pedometers.

Introduction: Thromboembolic events are a leading cause of maternal death, and peak in the postpartum period. We aimed to assess immediate patient mobility following cesarean delivery (CD) with digital step counters (pedometers), and to characterize factors associated with reduced mobility.Materials and methods: This was a prospective observational study at the maternity unit of the Edith Wolfson Medical Center between June 2017 and February 2018. Patients who underwent a cesarean - primary and repeat, and emergent and nonemergent - were asked to wear pedometers for 48 h following cesarean. Comparison of maternal characteristics, surgical, and postpartum course was performed between three groups: high mobility patients (n = 33), intermediate mobility patients (n = 34), and low mobility patients (n = 34), according to the upper third of steps recorded, intermediate third, and the lower third, respectively.Results: The average number of steps taken during the first 48 h following delivery was 6974 ± 2582, 2724 ± 732, and 1056 ± 454 in the high, intermediate, and low mobility groups, respectively, p < .001. Patients' demographics, parity, intrapartum, and postpartum course were not found to be associated with patient mobility. However, smokers were found to walk an additional 1549 steps following CD as compared to nonsmokers.Conclusion: This study failed to identify risk factors for reduced mobility in the immediate postpartum period, but an increased mobility was noted in smokers, most probably related to the need to ambulate outside the maternity ward. The decision to treat patients following a cesarean with thromboprophlaxis will continue to be based on previously identified risk factors.

Using the Step it UP! Game to increase physical activity during physical-education classes.

The Step it UP! Game is an interdependent group reinforcement contingency based on the Good Behavior Game. We evaluated the effects of the Step it UP! Game on the number of steps taken by 3rd-grade students during physical-education (PE) classes at a local public elementary school. We divided the class into 2 teams and awarded a "Step it UP! Champ" badge to the members of the team with the highest mean step totals at the end of each game. We used a reversal design to compare the mean number of steps taken while playing the game and during regular PE classes. Overall, participants took more steps while playing the game than they did during class periods without the game. When given the opportunity to choose playing the Step it UP! Game or having regular PE class during a follow-up session, 16 of 18 participants voted to play the game.

Effect of walking on depression prevalence for diabetes using information communication technology: Prospective study.

AIM: This study aimed to evaluate the prevention of diabetic depression and its impact on medical costs through the implementation of a step count monitoring system using information and communication technology. METHODS: This study carried out a longitudinal analysis of a prospective cohort. A total of 296 participants were enrolled in the intervention group and 882 participants in the control group. The participants in the intervention group were provided with pedometers, which each participant was asked to scan using devices stationed throughout the city. Activity data were stored in real time by a cloud system. The experiment lasted 30 months. RESULTS: None of the diabetes patients in the intervention group was diagnosed with depression during the study period, compared with 4.09% in the control group. Thus, the intervention suppressed the increase in medical costs for the people who did not develop depression in the diabetic group. CONCLUSIONS: The prevalence rate of depression among the participants with diabetes was lowered significantly. The medical costs of the participants who did not have diabetes were also reduced by implementing the step count monitoring system with information and communication technology. This shows that the use of an information and communication technology pedometer system can have favorable effects in terms of preventing depression in diabetes patients and further benefits for non-diabetic people. Geriatr Gerontol Int 2019; 19: 1147-1152.