Average Daily Step Count Research Articles

Proximal Muscle Resistance Training to Improve Walking in People With Multiple Sclerosis: A Pilot Study.

This pilot study examined the feasibility of a proximal muscle resistance training program to improve walking in people with multiple sclerosis using a combination of in-person, virtual, and independent exercise sessions. People with multiple sclerosis (Expanded Disability Status Scale Score is <6.0) were recruited to a study of resistance training exercises targeting hip abduction and trunk muscles for 10weeks. Feasibility criteria were: enrolling 40 participants, retaining ≥80%, ≥80% visit adherence, no serious intervention-related adverse events, and ≥80% satisfaction. The 6-Minute Walk Test, Timed 25-Foot Walk Test, muscle performance (hip abduction and lateral trunk flexion strength, and trunk flexion endurance), patient-reported outcomes, daily step count, and pelvis and trunk kinematics were measured before and after intervention. Patient-reported outcomes and step count were measured again 12weeks after intervention. Twenty-eight people (median Expanded Disability Status Scale is 3.5) enrolled and 92.8% were retained. Visit adherence was 86.5% (96% for virtual visits, 74% for in-person visits), and 48% of participants preferred virtual visits, while 20% preferred in-person visits. There were no serious intervention-related adverse events, and there was 100% satisfaction. Following intervention, 6-Minute Walk Test distance increased 29.6 m (95% confidence interval [CI], 12.2-47.0), Timed 25-Foot Walk Test decreased by 0.57seconds (95% CI, -0.85 to -0.29), and all muscle performance outcomes improved. Patient-reported outcomes also improved immediately following intervention. There were no changes in average daily step count or trunk and pelvis kinematics. This proximal muscle resistance training program was feasible, with benefits in walking and muscle strength, warranting a future efficacy study.

The Role of Body Mass Index on Physical Activity, Symptoms, and Related Outcomes Following Pediatric Concussion

To determine the step count and self-reported activity levels for obese and non-obese pediatric patients following concussion and predict self-reported symptoms, quality of life, and psychological health over time. Participants completed the Post-Concussion Symptom Scale (PCSS), Pediatric Quality of Life (PedsQL), and Behavioral Symptom Inventory-18 (BSI-18) at an initial visit (<72 hours), 3-5 days post-injury, 10-18 days post-injury, and 1 and 2 months post-injury. Physical activity data (eg, step count) were collected via a commercial actigraph. Participants were categorized into obese and non-obese body mass index (BMI) groups based on age- and sex-adjusted growth standards. Mann Whitney U tests compared groups while nonparametric series regression models examined the effect of obese BMI and average daily step count on PCSS, PedsQL, and BSI-18 outcomes at 1- and 2-months post-injury. 194 participants were included: 153 (78.9%; M=14.6 ± 2.4 years; 50% female) in the non-obese group and 41 (21.1%; M=14.2 ± 2.0 years; 44% female) in the obese group. The obese group had a 22.8% lower average daily step count in the week post-injury (p=0.02). At 2-months, there was a significant association between obese BMI and worse PCSS total score (p=0.042), PedsQL (p=0.017), and BSI-18 anxiety (p=0.046). Average daily step count in the first week post-injury was associated with a higher PCSS total score at 2 months (p=0.031). Pediatric patients following concussion with an obese BMI had a lower daily average step count in the week after injury and exhibited worse concussion symptoms, quality of life, and anxiety at 2 months compared with those with a non-obese BMI.

Semmelweis University’s innovative Center of Preventive Services in support of healthy ageing

Abstract Issue/problem Europe’s aging population presents substantial hurdles for healthcare sustainability. To alleviate the social and economic impacts of age-related diseases, promoting healthy aging is imperative. However, motivating individuals to adopt a healthier lifestyle proves challenging. Description of the problem Semmelweis University, a leading institution in medicine, health sciences, and health care in Hungary and Central Eastern Europe, has addressed this challenge by establishing the Center of Preventive Services (CPS), serving 12,500 Semmelweis University employees. The CPS conducts comprehensive health risk assessments and offers consultations with specialists in preventive medicine, public health, dietetics, physiotherapy, and health psychology. Motivational interviewing is used to enhance patient engagement and commitment to healthy lifestyle changes. Results The CPS has effectively integrated preventive services into the university’s healthcare system, reaching a significant number of employees. Early results show improvements in participants’ lifestyle and health behaviors due to the effective use of motivational interviewing. According to the first preliminary result, a study on step count conducted within the CPS found that those taking part in motivational interviewing session were able to increase their average daily step count by 1074 (95% Confidence Interval: 116-2033) steps more than controls. Lessons The Semmelweis University’s CPS provides valuable lessons for integrating healthy aging-focused preventive care into healthcare systems: 1. Effective preventive care requires targeted interventions based on detailed risk assessment and motivational interviewing; 2. Embedding preventive services within existing health infrastructure improves accessibility and utilization; 3. Collaborative and multidisciplinary approaches are essential to comprehensively address the needs of ageing populations. Key messages • Motivational interviewing boosts the effectiveness and engagement of preventive health services, which is essential to meet the challenges of ageing populations. • The Semmelweis University’s model program shows that embedding preventive services into the infrastructure of existing institutions like universities is scalable for better public health.

Non-health-targeted promotions and step counts of smartphone-based mall walking program users

Abstract Background The COVID-19 pandemic changed lifestyles and raised concerns regarding physical inactivity among adults. Mobile health interventions for physical activity may be a potential solution. However, the effects may diminish over time. This study investigated whether incorporating non-health-targeted promotions into an existing mobile health-walking program could stimulate users to walk. Methods We used nationwide cohort data of smartphone users participating in a shopping mall walking program in Japan. We focused on existing users registered in the program until October 31, 2022. A Japanese anime tie-in promotion was conducted by the shopping mall company from December 3 to 25, 2022, offering additional rewards alongside the regular program. We collected step count records of existing users 1 month before and after (November 1 to December 2, 2022, and December 26, 2022 to January 31, 2023, respectively), and during the promotion period. Propensity score matching was applied to ensure balance in the baseline characteristics of existing users in terms of gender, age, and pre-promotion program participation frequency. Next, we analyzed the association between participation in the promotion program and the average daily step counts during and after the promotional period using mixed effects models for repeated measures, while adjusting for the same covariates. Results Among the 18,156 users included in the study, 13,386 (73.7%) were women, with a mean (SD) age of 45.2 (12.7) years, and a mean (SD) pre-promotion program participation frequency of 9.7 (9.6) per month. During the promotion period, the participants walked 87 (95% CI: 50-125) more steps per day than non-participants, after adjusting for covariates. No clear association was observed 1 month post-promotion. Conclusions These findings indicate that non-health-targeted promotions may be short-term motivators for existing app users to walk. Ongoing monitoring is necessary to assess the long-term impact. Key messages • Mobile health intervention effects may diminish over time. • A non-health-related promotion could stimulate existing mall walking program app users to increase their daily step count temporarily.

Smartphone-Based Digital Peer Support for a Walking Intervention Among Public Officers in Kanagawa Prefecture: Single-Arm Pre- and Postintervention Evaluation.

Digital peer support, defined as peer support delivered through technology such as smartphone apps, may be promising to promote activity in the form of step counts. Interactions among users have a positive impact on retention rates, and apps with social elements show significant improvements in daily step count. However, the feasibility of digital peer support in promoting physical activity (PA) is unknown; therefore, its effectiveness on step count and the clinical implications remain unconfirmed. This study aimed to assess the feasibility of digital peer support over a 3-month intervention period using the retention rate as the outcome. Moreover, changes in daily step count and physical measurements were compared between pre- and postintervention. The study design was a 3-month 1-arm intervention with participants from local government offices in Kanagawa, Japan. We used an available smartphone app, Minchalle, as the tool for the group intervention. Participants were required to report their daily step count to a maximum of 5 members composed exclusively of study participants. The primary outcome was the retention rate. Secondary outcomes included daily step count, the rate of achieving daily step goals, physical measurements, and lifestyle characteristics. Descriptive statistics and the Pearson coefficient were used to examine the relationship between goal achievement and step count, as well as changes in step count and various variables including physical measurements. Of the 63 participants, 62 completed the intervention. The retention rate was 98% (62/63). The average daily step count during the intervention was 6993 (SD 2328) steps, an 1182-step increase compared with the count observed 1 week before the intervention began. The rate of achieving the daily step count during the intervention was 53.5% (SD 26.2%). There was a significant correlation (r=0.27, P=.05) between achieving daily step goals and increasing daily step count. Comparative analyses showed that changes in weight (68.56, SD 16.97 kg vs 67.30, SD 16.86 kg; P<.001), BMI (24.82, SD 4.80 kg/m2 vs 24.35, SD 4.73 kg/m2; P<.001), somatic fat rate (28.50%, SD 7.44% vs 26.58%, SD 7.90%; P=.005), systolic blood pressure (130.42, SD 17.92 mm Hg vs 122.00, SD 15.06 mm Hg; P<.001), and diastolic blood pressure (83.24, SD 13.27 mm Hg vs 77.92, SD 11.71 mm Hg; P=.002) were significantly different before and after the intervention. Similarly, the daily amount of PA significantly improved from 5.77 (SD 3.81) metabolic equivalent (MET)-hours per day to 9.85 (SD 7.84) MET-hours per day (P<.001). This study demonstrated that digital peer support is feasible for maintaining a high retention rate and can, therefore, effectively promote PA. It can be a promising tool to improve daily step count, subjective PA, and clinical outcomes, such as weight and somatic fat rate. UMIN Clinical Trials Registry UMIN000042520; https://tinyurl.com/46c4nm8z.

Factors associated with participation in a walking intervention for veterans who smoke and have chronic pain.

This analysis was part of the Pain and Smoking Study (PASS), a randomized trial of a cognitive behavioral intervention (CBI) for Veterans with chronic pain who smoke. The objective of this study was to examine factors associated with participation in the walking component of the intervention. Demographics and clinical characteristics were obtained at baseline. Completion of two or more CBI counseling sessions was required to be included in analyses. Average daily step counts obtained via pedometer in the prior week were recorded in up to three telephone counseling sessions. Participants were then categorized as "sedentary" (≤ 4999 daily steps) or "not sedentary" (≥ 5000 daily steps). Multivariable logistic regression was used to model variance in activity categorization. Overall, 91.0% of participants were men, 70.5% were white, mean age was 58.4 years, mean BMI was 28.6, median pack years was 20.5, and 43.8% were depressed. Veterans reported moderate pain intensity (4.9/10) and pain interference (5.4/10). Pain locations included: lower extremity (67.4%), back (53.4%) and upper extremity (28.1%). Median daily steps were 2491 [IQR: 1720-3550] (sedentary) (n = 65), 7307 [IQR: 5952-8533] (not sedentary) (n = 24), and 3196 [IQR: 2237-5067] (overall) (n = 89). Veterans with older age (odds ratio (OR): 1.10, 95% confidence interval (CI): 1.04, 1.17) and presence of LE pain (OR: 5.98, 95% CI: 1.82, 19.65) had increased odds of being "sedentary." Integrated smoking cessation and chronic pain self-management interventions that include a walking component may need to consider the impact of age and pain location on participation.Trial registration: The trial is registered at www.ClinicalTrials.gov (NCT02971137). First posted on November 22, 2016.

Optimizing Total Knee Arthroplasty Rehabilitation With Telehealth Physical Activity Behavior Change Intervention: A Randomized Clinical Trial.

Conventional total knee arthroplasty (TKA) rehabilitation has little impact on sedentary lifestyles that have negative long-term health consequences. The purpose of this trial was to determine the effect of telehealth-based physical activity behavior change intervention on physical activity and functional outcomes following TKA. This study was a 2-arm, parallel randomized controlled superiority trial at a regional Veterans Affairs medical center. The participants were 92 US military veterans (mean age = 65.7 [SD =7.8] y) undergoing unilateral TKA. The Physical Activity Behavior Change (PABC) intervention included telehealth-based self-management training (10 30-minute sessions) delivered over 12weeks. The control intervention included telehealth-based health education sessions that matched PABC frequency and duration. Both groups participated in standardized conventional outpatient rehabilitation. Physical activity, measured as average daily step count, was the primary outcome. Secondary outcomes were Life-Space Assessment questionnaire, 30-Second Chair-Stand test, Timed "Up & Go" Test, 6-Minute Walk Test, Western Ontario and McMaster Universities Osteoarthritis Index, and Veterans RAND 12-Item Health Survey. The Self Efficacy for Exercise scale and daily time spent in different postures (sitting/lying, standing, stepping) were exploratory variables. Outcomes were measured at baseline (before surgery), mid-intervention (8weeks after surgery), after the intervention (14weeks after surgery; primary endpoint), and follow-up (38weeks after surgery). The PABC group had an estimated 931 (95% CI = 42-1819) more daily steps than the control group from baseline to 14weeks, though a between-group effect was not sustained at 38weeks. There were no group differences in secondary outcomes. Participants included only military veterans using Veterans Health Administration services. The intervention targeted self-management and did not include peer support. The PABC intervention improved physical activity for veterans recovering from unilateral TKA at 14weeks after surgery, though the effect was not sustained at 38weeks. Physical function improved with rehabilitation but was not different between groups, indicating that physical function was not a primary driver of physical activity behavior. Conventional TKA rehabilitation has a negligible effect on free-living physical activity, which is relevant to long-term health outcomes. This trial identified telehealth physical activity self-management as effective in addressing activity behaviors, separate from conventional rehabilitation strategies.

Telephone Health Coaching and Remote Exercise Monitoring (TeGeCoach) in Peripheral Arterial Occlusive Disease.

Supervised exercise programs are used to treat intermittent claudication (IC). Home-based exercise programs have been developed to lower barriers to participation. We studied the effects of one such exercise program (TeGeCoach) on self-reported walking ability in patients with IC. In a pragmatic multicenter randomized controlled trial (registration number NCT03496948), 1982 patients with symp - tomatic IC insured by one of three German statutory health insurance funds received either telephone health coaching with remote exercise monitoring (TeGeCoach; n = 994) or routine care (n = 988). The primary outcome was the change in Walking Impairment Questionnaire (WIQ) scores after 12 and 24 months in the intention-to-treat population. The secondary outcomes were healthrelated quality of life, symptoms of depression or anxiety, health competence, patient activation, alcohol use, and nicotine depen - dence. There was a significant group difference in WIQ score in favor of TeGeCoach (p < 0.0001), amounting to 6.30 points at 12 months (Bonferroni-corrected 95% CI [4.02; 8.59], Cohen's d = 0.26) and 4.55 points at 24 months ([2.20; 6.91], d = 0.19). Some of the secondary outcomes also showed positive results in favor of TeGeCoach at 12 months with small effect sizes (d ≥ 0.20), including physical health-related quality of life and patient activation. The average daily step count was not higher in the TeGeCoach group. Significant improvements regarding symptom burden demonstrate the benefit of a home-based exercise program and thus expand the opportunities for guideline-oriented treatment of IC. Future studies should additionally address the effect of home-based exercise programs on clinical variables by means of, for example, the 6-minute walk test.

Low Daily Step Count Associated with Small Erector Spine Muscle Area and Sarcopenia in Idiopathic Pulmonary Fibrosis.

Objective The daily step count is associated with mortality in idiopathic pulmonary fibrosis (IPF). However, the factors associated with this phenomenon are not yet fully understood. We therefore clarified its association with clinical parameters. Methods Fifty-nine patients with IPF with available data for daily step counts; 6-minute walk distance (6MWD); chest, abdominal, and pelvic computed tomography (CT); pulmonary function; psychological evaluations; and sarcopenia assessments were prospectively enrolled. The daily step count was measured continuously for seven consecutive days. The cross-sectional areas of the erector spinae muscles at the level of the 12th vertebra (ESMCSA) and psoas major muscle volume (PMV) obtained by CT were assessed. Results The average age of the patients was 73.3±8.1 years old, and the percent predicted forced vital capacity was 81.6% ±15.8%. The average daily step count was 4,258 (2,155-6,991) steps. The average 6MWD, ESMCSA, and PMV were 413±97 m, 25.5±6.7 cm2, and 270±75.6 cm3, respectively. A linear regression analysis for daily step count showed that the ESMCSA and 6MWD were independent factors for the daily step count, whereas the PMV and skeletal muscle index were not. The daily step count, ESMCSA, and 6MWD were lower in patients with sarcopenia than in those without sarcopenia. Conclusions A lower daily step count was associated with a smaller erector spinae muscle area and sarcopenia in patients with IPF. Further studies are warranted to confirm the importance of physical therapy for muscle strengthening in patients with IPF.

Stepping Up Recovery: Integrating Patient-reported Outcome Measures and Wearable Technology for Rehabilitation Following Knee Arthroplasty.

Improvement after knee arthroplasty (KA) is often measured using patient-reported outcome measures (PROMs). However, PROMs are limited due to their subjectivity. Therefore, wearable technology is becoming commonly utilized to objectively assess physical activity and function. We assessed the correlation between PROMs and step/stair flight counts in total (TKA) and partial knee arthroplasty (PKA) patients.Analysis of a multicenter, prospective, longitudinal cohort study investigating the collection of average daily step and stair flight counts, was performed. Subjects (N = 1,844 TKA patients and N = 489 PKA patients) completed the Knee Injury and Osteoarthritis Outcome Score for Joint Replacement (KOOS JR) and provided numerical rating scale pain scores pre- and postoperatively. Only patients who reported living in a multilevel home environment (N = 896 TKA patients and N = 258 PKA patients) were included in analysis of stair flight counts. Pearson correlation coefficients were calculated to determine correlations between variables.Among TKA patients, pain scores demonstrated a negative correlation to mean step counts at preoperative (r = -0.14, p < 0.0001) and 1-month follow-up (r = -0.14, p < 0.0001). Similar negative correlations were true for pain and stair flight counts at preoperative (r = -0.16, p < 0.0001) and 1-month follow-up (r = -0.11, p = 0.006). KOOS JR scores demonstrated weak positive correlations with mean step counts at preoperative (r = 0.19, p < 0.0001) and 1-month postoperative (r = 0.17, p < 0.0001). Similar positive correlations were true for KOOS JR scores and stair flight counts preoperatively (r = 0.13, p = 0.0002) and at 1-month postoperatively (r = 0.10, p = 0.0048). For PKA patients, correlations between pain and KOOS JR with step/stair counts demonstrated similar directionality.Given the correlation between wearable-generated data and PROMs, wearable technology may be beneficial in evaluating patient outcomes following KA. By combining subjective feedback with the objective data, health care providers can gain a holistic view of patients' progress and tailor treatment plans accordingly.

Effects of the COVID-19 associated United Kingdom lockdown on physical activity in older adults at high risk of cardiovascular disease: a mixed methods perspective from the MedEx-UK multicenter trial.

Physical inactivity and sedentary behaviour are linked to increased risk of cardiovascular disease, infections and dementia, as well as placing a significant economic burden on healthcare systems. The implementation of COVID-19 pandemic lockdown measures aimed at reducing virus transmission posed challenges to the opportunity to be physically active. This study investigates how the first UK COVID-19 lockdown affected objectively measured physical activity in older adults at higher risk of cardiovascular disease. We studied 48 individuals aged 55-74 years (81.3% female) with self-reported PA levels < 90 min/week and a QRISK2 score ≥ 10 (indicative of a ≥ 10% risk of a major cardiovascular event in the next 10 years) without mild cognitive impairment or dementia. Physical activity data was collected using objective wrist-based activity monitors and analysed across three time periods, usual activity (pre-pandemic), the precautionary phase when the UK began advising on limiting social contact and finally during the first UK lockdown period was collected (27 January 2020 and 07 June 2020). Data was analysed using linear mixed effects model was used to investigate PA levels over the measured 12-week period. Effects of BMI, age, deprivation score and baseline PA levels on PA across the three measurement periods were also examined. Focus-group and individual interviews were conducted, and data were thematically analysed. Average daily step count (-34% lower, p < 0.001) and active energy expenditure (-26% lower, p < 0.001) were significantly lower during the precautionary period compared with the usual activity period. Physical activity remained low during the UK lockdown period. Participants with a lower BMI engaged in significantly more (+45% higher daily steps p < 0.001) physical activity and those over 70 years old were more physically active than those under 70 years across the 12-week period (+23% higher daily steps p < 0.007). The risk of COVID-19 infection and restrictions because of lockdown measures meant some individuals had to find alternative methods to staying physical active. Participants described a lack of access to facilities and concerns over health related to COVID-19 as barriers to engaging in physical activity during lockdown. For some, this resulted in a shift towards less structured activities such as gardening or going for a walk. The data presented shows that lockdown measures during the COVID-19 pandemic significantly reduced physical activity among older individuals at risk of cardiovascular disease, particularly those with a higher body mass index. To support this population group in staying active during future lockdowns, a multifaceted strategy is needed, emphasizing psychosocial benefits and home-based physical activity. The MedEx-UK study was pre-registered with ClinicalTrials.gov (NCT03673722).

Abstract P212: Adherence Trends to a Remotely Supervised Weight Loss and Exercise Training Intervention to Improve Rheumatoid Arthritis Cardiovascular Risk

Introduction: Individuals with rheumatoid arthritis (RA) have an increased risk for cardiometabolic disease. By improving traditional markers of cardiometabolic health, interventions that induce weight loss and increase physical activity may also reduce RA-related cardiometabolic disease risk. However, to achieve these health benefits, an individual must adhere to such interventions. To understand whether sustained behavioral modification is feasible for individuals with RA, assessing adherence to prescribed intervention components is needed. Hypothesis: We hypothesized that adherence to a daily step goal would be greater than adherence to more intensive intervention components. Methods: Older adults with RA and overweight/obesity (n = 20) were randomized and completed 16 weeks of “usual care” Counseling Health as Treatment (CHAT) or remotely Supervised Weight loss and Exercise Training (SWET). The SWET program consisted of caloric restriction (7% weight loss goal), aerobic training (AT; 150 minutes/week), and resistance training (RT; twice weekly). Both groups were given a daily goal of 6,000 steps. Pearson correlation analyses assessed for a relationship between baseline measures and average daily step count. Results: Participants were on average 66.7 ± 5.4 years old, Caucasian (65.0%), men (80.0%), with obesity (body mass index: 32.4 ± 2.9 kg/m 2 ). For SWET and CHAT, respectively, average daily step adherence was 117.8% (7065.6 ± 2117.0 steps/day) and 118.2% (7093.4 ± 2965.4 steps/day) (Figure 1A). Average adherence to SWET-only components was 84.0 ± 0.5% for AT, 83.0 ± 0.2% for RT, and 93.9 ± 0.1% for weigh-ins (Figure 1B). Step count adherence was unrelated to baseline measures. Conclusions: Step count adherence 1) was similar in both groups despite the intervention delivery strategy, and 2) exceeded other more intensive SWET intervention components (i.e., AT and RT). Findings highlight step counts as an achievable and sustainable RA exercise goal.

Physical activity and sleep changes among children during the COVID-19 pandemic

Daily routines, including in-person school and extracurricular activities, are important for maintaining healthy physical activity and sleep habits in children. The COVID-19 pandemic significantly disrupted daily routines as in-person school and activities closed to prevent spread of SARS-CoV-2. We aimed to examine and assess differences in objectively measured physical activity levels and sleep patterns from wearable sensors in children with obesity before, during, and after a period of school and extracurricular activity closures associated with the COVID-19 pandemic. We compared average step count and sleep patterns (using the Mann–Whitney U Test) before and during the pandemic-associated school closures by using data from activity tracker wristbands (Garmin VivoFit 3). Data were collected from 94 children (aged 5–17) with obesity, who were enrolled in a randomized controlled trial testing a community-based lifestyle intervention for a duration of 12-months. During the period that in-person school and extracurricular activities were closed due to the COVID-19 pandemic, children with obesity experienced objectively-measured decreases in physical activity, and sleep duration. From March 15, 2020 to March 31, 2021, corresponding with local school closures, average daily step count decreased by 1655 steps. Sleep onset and wake time were delayed by about an hour and 45 min, respectively, while sleep duration decreased by over 12 min as compared with the pre-closure period. Step counts increased with the resumption of in-person activities. These findings provide objective evidence for parents, clinicians, and public health professionals on the importance of in-person daily activities and routines on health behaviors, particularly for children with pre-existing obesity. Trial Registration: Clinical trial registration: NCT03339440

Factors associated with physical activity following total knee arthroplasty for knee osteoarthritis: a longitudinal study.

After total knee arthroplasty (TKA), patients' physical activity (PA) levels at 6 months are lower than those of healthy subjects. Few studies have investigated the factors associated with PA at 6 months after TKA by objectively measuring preoperative and postoperative PA intensity using an accelerometer and knee function using a goniometer and dynamometer. The purpose of this study was to determine the factors associated with PA levels at 6 months after TKA based on objective data. Eighty-two patients (mean [SD] age 74.5 [6.4] years) with moderate-to-severe knee osteoarthritis (OA) who were scheduled for TKA at the Nagoya Orthopaedic and Joint Replacement Clinic from July 2018 to July 2019 were enrolled in this longitudinal study. All patients underwent evaluations of knee function, including range-of-motion and knee-extension muscle strength; knee pain; performance in the timed up-and-go test; and accelerometer-measured PA both preoperatively and 6 months postoperatively. Factors associated with PA at 6 months after TKA were assessed using a hierarchical multiple linear regression analysis adjusted for age, sex, body mass index, and presence of diabetes mellitus. A higher average daily step count at 6 months after TKA was significantly associated with greater preoperative knee-extension muscle strength on the operated side (β = 0.155, p = 0.028) as well as a higher preoperative average daily step count (β = 0.834, p < 0.001). Furthermore, average daily time spent in moderate-to-vigorous-intensity PA postoperatively was significantly associated only with time spent in moderate-to-vigorous-intensity PA preoperatively (β = 0.723, p < 0.001). These findings indicate that a higher preoperative daily step count and greater preoperative knee-extension muscle strength on the operated side may be associated with a higher daily step count at 6 months after TKA. Factors associated with PA differed by the PA intensity level. Rehabilitation and interventions for psychosocial factors before TKA beginning when mild knee OA first occurs are expected to lead to increased PA in TKA patients.

Lifestyle and mood correlates of cardiometabolic risk in people with serious mental illness on second-generation antipsychotic medications.

Cardiovascular morbidity and mortality are high in people with serious mental illness (SMI). This problem is mediated, at least in part, by metabolic side effects of second-generation antipsychotics (SGAs) and by unhealthy lifestyle behaviors. We asked whether oral glucose tolerance testing (oGTT) or hemoglobin A1c (HbA1c) is superior in identifying people with SMI at high cardiometabolic risk and whether this risk is shaped by mood, cognition, or lifestyle habits. We evaluated 40 patients with schizophrenia, schizoaffective, or bipolar disorder receiving SGAs by oGTT, HbA1c, comprehensive metabolic and lipid panels, and CRP. Mood was assessed using the Patient Health Questionnaire (PHQ-9), and cognition was assessed using the Saint Louis University Mental Status examination. Diet was assessed using the UK Diabetes and Diet Questionnaire (UKDDQ), and physical activity was assessed using daily step counts. Most patients had prediabetes (preDM) or diabetes mellitus (DM), 72.5% by oGTT, and 52.5% by HbA1c criteria. Pulse rates and insulin resistance indices (Homeostatic Model Assessment of Insulin Resistance, HOMA IR; Matsuda) were significantly different between patients classified as normal or with preDM/DM, using either oGTT or HbA1c criteria. Patients with preDM/DM by HbA1c but not oGTT criteria also had higher waist/hip ratios, triglyceride, and CRP levels (p<0.05). A strong negative correlation was found between average daily step counts and CRP levels (rho = -0.62, p<0.001). Higher UKDDQ scores, or unhealthier diet habits, were associated with higher fasting plasma glucose (rho = 0.28, p = 0.08), triglyceride levels (rho = 0.31, p = 0.05), and insulin resistance (HOMA IR: rho = 0.31, p = 0.06). Higher PHQ-9 scores correlated with lower 2h-oGTT glucose levels (rho = -0.37, p<0.05). OGTT screening is superior to HbA1c screening in detecting preDM and DM early. Patients identified with preDM/DM by oGTT or HbA1c screening are insulin-resistant and have higher pulse rates. Abdominal obesity, unfavorable lipid profiles, and higher CRP levels were noted in patients screened by HbA1c, but not by oGTT. Low physical activity, low depression scores, and unhealthy diet habits were associated with higher CRP and higher glucose and triglyceride levels, respectively. Future studies should assess the impact of specifically tailored individual lifestyle counseling and medical management interventions in this high-risk population.

THE LIVED EXPERIENCE OF COPD AND EMOTIONAL DISTRESS IN US VETERANS: A MIXED-METHOD STUDY

Abstract Behavioral interventions targeting low physical activity (PA) and comorbid emotional distress are critically needed to address gaps in the management of chronic obstructive pulmonary disease (COPD). A mixed-methods study was conducted to guide the development of Step-Cognitive Behavioral Therapy (Step-CBT), a virtual behavioral intervention under study integrating PA promotion with CBT for those with COPD. Semi-structured interviews with U.S. Veterans with COPD at the VA Boston Healthcare System explored the lived experience of COPD and emotional distress. Participants completed the Patient Health Questionnaire-9 [PHQ-9], Beck Anxiety Inventory [BAI]), and wore an accelerometer (ActiGraph wGT3X-BT) for 14 days to measure objective PA. Thematic analysis was used to code responses and identify themes. Participants (n=22; 90.9% male, age 68.0±6.0 years; 96% White) were assessed. PHQ-9 indicated moderate depression severity (M=11.3± 5.3) and BAI scores indicated moderate anxiety severity (M=26.5±9.4). Average daily step count was (M=6,611±4,799). In response to questions eliciting participants’ experience of emotional distress, participants described Emotions, Behaviors, and Cognitions associated with distress that interacted with COPD and PA (e.g., “I’ve gotta catch my breath where before I could just do up the yard with no problem… so that gets me depressed”). When asked about engaging in daily PA in the context of emotional distress, three themes emerged: Emotion Regulation and Coping (e.g., healthy behavioral coping, maladaptive coping, etc.), Factors that Motivate (i.e., routine/schedule, etc.), and Social Context. Findings illuminate linkages between emotional distress and PA that will guide the creation of vignette-based treatment modules in the development of Step-CBT.

The Role of Daily Steps in the Treatment of Major Depressive Disorder: Secondary Analysis of a Randomized Controlled Trial of a 6-Month Internet-Based, Mindfulness-Based Cognitive Behavioral Therapy Intervention for Youth.

Current evidence supports physical activity (PA) as an adjunctive treatment for major depressive disorder (MDD). Few studies, however, have examined the relationship between objectively measured PA and MDD treatment outcomes using prospective data. This study is a secondary analysis of data from a 24-week internet-based, mindfulness-based cognitive behavioral therapy program for MDD. The purpose of this analysis was twofold: (1) to examine average daily step counts in relation to MDD symptom improvement, and whether pain moderated this relationship; and (2) to examine whether changes in step activity (ie, step trajectories) during treatment were associated with baseline symptoms and symptom improvement. Patients from the Centre for Addiction and Mental Health were part of a randomized controlled trial evaluating the effects of internet-based, mindfulness-based cognitive behavioral therapy for young adults (aged 18-30 years old) with MDD. Data from 20 participants who had completed the intervention were analyzed. PA, in the form of objectively measured steps, was measured using the Fitbit-HR Charge 2 (Fitbit Inc), and self-reported depression severity was measured with the Beck Depression Inventory-II (BDI-II). Linear regression analysis was used to test PA's relationship with depression improvement and the moderating effect of pain severity and pain interference. Growth curve and multivariable regression models were used to test longitudinal associations. Participants walked an average of 8269 steps per day, and each additional +1000-step difference between participants was significantly associated with a 2.66-point greater improvement (reduction) in BDI-II, controlling for anxiety, pain interference, and adherence to Fitbit monitoring (P=.02). Pain severity appeared to moderate (reduce) the positive effect of average daily steps on BDI-II improvement (P=.03). Higher baseline depression and anxiety symptoms predicted less positive step trajectories throughout treatment (Ps≤.001), and more positive step trajectories early in the trial predicted greater MDD improvement at the end of the trial (Ps<.04). However, step trajectories across the full duration of the trial did not significantly predict MDD improvement (Ps=.40). This study used objective measurements to demonstrate positive associations between PA and depression improvement in the context of cognitive behavioral treatment. Pain appeared to moderate this relationship, and baseline symptoms of anxiety and depression predicted PA trajectories. The findings inform future interventions for major depression. Future research with larger samples should consider additional moderators of PA-related treatment success and the extent to which outcomes are related to PA change in multimodal interventions. Clinical Trials.gov NCT03406052; https://www.clinicaltrials.gov/ct2/show/NCT03406052. RR2-10.2196/11591.

Associations of pedometer-measured ambulatory activity with incidence of atherosclerotic cardiovascular diseases: Strong heart family study

ObjectiveCoronary heart disease has several risk factors that require a multifactorial community intervention approach in prevention efforts. Prevalence of coronary heart disease and its risk factors have been disproportionately high among American Indians. The objective of this study is to evaluate the impact of ambulatory activity levels on the development of coronary heart disease in this population. MethodsUsing pedometer data and other lifestyle and clinical factors from 2492 participants in the Strong Heart Family Study, we examined the associations of average daily step counts with incident coronary heart disease during an 18 to 20 year follow-up. ResultsAfter adjusting for potential confounders, participants with daily step counts in the 4th quartile (>7282 steps per day) had significantly lower odds of developing coronary heart disease compared to those in the 1st quartile (<3010 steps per day) (p = 0.035). ConclusionsHigher daily step count (over 7282 steps per day) is significantly associated with lower incidence of coronary heart disease among American Indian participants of the Strong Heart Family Study in a 20-year follow-up period.

Enhancing Physical and Psychosocial Health of Older Adults in Saudi Arabia through Walking: Comparison between Supervised Group-Based and Non-Supervised Individual-Based Walking.

Walking is widely recognized as one of the most common and effective forms of physical activity, particularly for older adults. This study examined the comparative effects of two types of walking interventions, including supervised group-based intervention (SGBI) and non-supervised individual-based intervention (NSIBI), on frailty syndrome, cognitive functions or skills, and health-related quality of life among sedentary older Saudi individuals. A 15-week double-blinded, randomized controlled trial (RCT) including three groups (two were intervention groups while the other was the control group) was conducted among older adults who were inactive to examine the effect of different forms of walking interventions on frailty syndrome, cognitive functions, and health-related quality of life. A total of 107 participants, including 65 males and 42 females, were divided into three groups, which include SGBI, NSIBI, and the control group. Frailty syndrome was measured using the physical performance test (PPT), while cognitive function and health-related quality of life were assessed using the Mini-mental State Examination (MMSE) and the Short Form 36 (SF 36) health survey questionnaire. One-way repeated measures analysis of variance (ANOVA) and one-way analysis of covariance (ANCOVA) with the pre- and post-tests were performed for within- and between-group differences. while post-test data for the control group participants were absent due to the change in elderly center regulation, and they were excluded from the analysis. Hence, the comparison was stated only between the intervention groups. Both of the intervention groups (SGBI and NSIBI) showed significant within-subject differences in the Physical Function subscale of the health-related quality of life scale only, with F(1,20) = 23.03, p < 0.001, and F(1,18) = 27.22, p < 0.001, respectively. On the other hand, the Physical Performance Test revealed significant [F(2,51) = 9.21, p < 0.001] between-group differences in the post-test based on the baseline values. In addition, the average step count of older adults was increased from 4000 steps per session to around 7000 steps per session in the intervention group. The average heart rate of the NSIBI group did not show a visible change, and the resting heart rate of both groups showed a slightly declining trend throughout the intervention period. The walking intervention significantly increased participants' physical function, which is a component of health-related quality of life and physical performance (frailty level), along with average daily step counts for older adults in Saudi Arabia. Regular engagement in the recommended level of walking is strongly advisable for Saudi Arabian older adults to maintain their overall quality of life at this stage.

The STEPWISE study: study protocol for a smartphone-based exercise solution for people with Parkinson’s Disease (randomized controlled trial)

BackgroundExercise has various health benefits for people with Parkinson’s disease (PD). However, implementing exercise into daily life and long-term adherence remain challenging. To increase a sustainable engagement with physical activity of people with PD, interventions that are motivating, accessible, and scalable are needed. We primarily aim to investigate whether a smartphone app (STEPWISE app) can increase physical activity (i.e., step count) in people with PD over one year. Our second aim is to investigate the potential effects of the intervention on physical fitness, and motor- and non-motor function. Our third aim is to explore whether there is a dose-response relationship between volume of physical activity and our secondary endpoints.MethodsSTEPWISE is a double-blind, randomized controlled trial. We aim to include 452 Dutch people with PD who can walk independently (Hoehn & Yahr stages 1–3) and who do not take more than 7,000 steps per day prior to inclusion. Physical activity levels are measured as step counts on the participant’s own smartphone and scaled as percentage of each participant’s baseline. Participants are randomly assigned to an active control group with an increase of 5–20% (active controls) or any of the three intervention arms with increases of 25–100% (intermediate dose), 50–200% (large dose), or 100–400% (very large dose). The primary endpoint is change in step count as measured by the STEPWISE smartphone app from baseline to 52 weeks. For our primary aim, we will evaluate the between-group difference in average daily step count change from baseline to 52 weeks. For our second aim, measures of physical fitness, and motor- and non-motor function are included. For our third aim, we will associate 52-week changes in step count with 52-week changes in secondary outcomes.DiscussionThis trial evaluates the potential of a smartphone-based intervention to increase activity levels in people with PD. We envision that motivational apps will increase adherence to physical activity recommendations and could permit conduct of remote clinical trials of exercise for people with PD or those at risk of PD.Trial registrationClinicalTrials.gov; NCT04848077; 19/04/2021. Clinicaltrials.gov/ct2/show/NCT04848077.