Systematic review of the prospective association of daily step counts with risk of mortality, cardiovascular disease, and dysglycemia

Associations of 24 h time-use compositions of sitting, standing, physical activity and sleeping with optimal cardiometabolic risk and glycaemic control: The Maastricht Study

AIMS/HYPOTHESIS

The associations of sitting, standing, physical activity and sleep with cardiometabolic health and glycaemic control markers are interrelated. We aimed to identify 24 h time-use compositions associated with optimal metabolic and glycaemic control and determine whether these varied by diabetes status.

METHODS

Thigh-worn activPAL data from 2388 participants aged 40-75 years (48.7% female; mean age 60.1 [SD = 8.1] years; n=684 with type 2 diabetes) in The Maastricht Study were examined. Compositional isometric log ratios were generated from mean 24 h time use (sitting, standing, light-intensity physical activity [LPA], moderate-to-vigorous physical activity [MVPA] and sleeping) and regressed with outcomes of waist circumference, fasting plasma glucose (FPG), 2 h plasma glucose, HbA1c, the Matsuda index expressed as z scores, and with a clustered cardiometabolic risk score. Overall analyses were adjusted for demographics, smoking, dietary intake and diabetes status, and interaction by diabetes status was examined separately. The estimated difference when substituting 30 min of one behaviour with another was determined with isotemporal substitution. To identify optimal time use, all combinations of 24 h compositions possible within the study footprint (1st-99th percentile of each behaviour) were investigated to determine those cross-sectionally associated with the most-optimal outcome (top 5%) for each outcome measure.

RESULTS

Compositions lower in sitting time and with greater standing time, physical activity and sleeping had the most beneficial associations with outcomes. Associations were stronger in participants with type 2 diabetes (p<0.05 for interactions), with larger estimated benefits for waist circumference, FPG and HbA1c when sitting was replaced by LPA or MVPA in those with type 2 diabetes vs the overall sample. The mean (range) optimal compositions of 24 h time use, considering all outcomes, were 6 h (range 5 h 40 min-7 h 10 min) for sitting, 5 h 10 min (4 h 10 min-6 h 10 min) for standing, 2 h 10 min (2 h-2 h 20 min) for LPA, 2 h 10 min (1 h 40 min-2 h 20 min) for MVPA and 8 h 20 min (7 h 30 min-9 h) for sleeping.

CONCLUSIONS/INTERPRETATION

Shorter sitting time and more time spent standing, undergoing physical activity and sleeping are associated with preferable cardiometabolic health. The substitutions of behavioural time use were significantly stronger in their associations with glycaemic control in those with type 2 diabetes compared with those with normoglycaemic metabolism, especially when sitting time was balanced with greater physical activity.

Sit less and move more! A cross-sectional study of the associations between physical activity and sedentary behaviors with inhibitory control in Brazilian adults

OBJECTIVE

To investigate the independent and joint associations between sedentary behaviors (SB) and physical activity (PA) with inhibitory control (IC) in adults.

METHODS

A total of 111 participants (median age = 30 years; 60% women), completed the Stroop Color-Words test to assess IC. They also wore accelerometers for seven days to measure SB, light PA, moderate-to-vigorous PA (MVPA), and daily steps. We previously set cutoff points for SB and PA measurements and tested them to determine their association with IC. All analyses were adjusted for potential confounding factors including age, gender, post-secondary education, income, body mass index, and accelerometer wear time.

RESULTS

Low SB, high MVPA, and high daily steps were independently associated with a better IC compared to their respective counterparts. Adults with low levels of SB and light PA demonstrated better IC performance (β = -227.67, 95%CI = -434.14 to -21.20) compared to those with high SB and low light PA. Conversely, individuals with high SB and high light PA exhibited worse performance (β = 126.80, 95%CI = 2.11 to 251.50) than those in the high SB and low light PA group. Furthermore, the joint association of low SB with high MVPA (β = -491.12, 95%CI = -689.23 to -293.01) or low SB with high daily steps (β = -254.29, 95%CI = -416.41 to -92.16) demonstrated better IC performance compared to those with high SB and low MVPA or low daily steps.

CONCLUSION

Our findings highlight independent and joint associations between low SB, high MVPA, and high daily steps with enhanced IC in adults.

Participatory Development of an Integrated, eHealth-Supported, Educational Care Pathway (Diabetes Box) for People With Type 2 Diabetes: Development and Usability Study

BACKGROUND

Type 2 diabetes (T2D) tremendously affects patient health and health care globally. Changing lifestyle behaviors can help curb the burden of T2D. However, health behavior change is a complex interplay of medical, behavioral, and psychological factors. Personalized lifestyle advice and promotion of self-management can help patients change their health behavior and improve glucose regulation. Digital tools are effective in areas of self-management and have great potential to support patient self-management due to low costs, 24/7 availability, and the option of dynamic automated feedback. To develop successful eHealth solutions, it is important to include stakeholders throughout the development and use a structured approach to guide the development team in planning, coordinating, and executing the development process.

OBJECTIVE

The aim of this study is to develop an integrated, eHealth-supported, educational care pathway for patients with T2D.

METHODS

The educational care pathway was developed using the first 3 phases of the Center for eHealth and Wellbeing Research roadmap: the contextual inquiry, the value specification, and the design phase. Following this roadmap, we used a scoping review about diabetes self-management education and eHealth, past experiences of eHealth practices in our hospital, focus groups with health care professionals (HCPs), and a patient panel to develop a prototype of an educational care pathway. This care pathway is called the Diabetes Box (Leiden University Medical Center) and consists of personalized education, digital educational material, self-measurements of glucose, blood pressure, activity, and sleep, and a smartphone app to bring it all together.

RESULTS

The scoping review highlights the importance of self-management education and the potential of telemonitoring and mobile apps for blood glucose regulation in patients with T2D. Focus groups with HCPs revealed the importance of including all relevant lifestyle factors, using a tailored approach, and using digital consultations. The contextual inquiry led to a set of values that stakeholders found important to include in the educational care pathway. All values were specified in biweekly meetings with key stakeholders, and a prototype was designed. This prototype was evaluated in a patient panel that revealed an overall positive impression of the care pathway but stressed that the number of apps should be restricted to one, that there should be no delay in glucose value visualization, and that insulin use should be incorporated into the app. Both patients and HCPs stressed the importance of direct automated feedback in the Diabetes Box.

CONCLUSIONS

After developing the Diabetes Box prototype using the Center for eHealth and Wellbeing Research roadmap, all stakeholders believe that the concept of the Diabetes Box is useful and feasible and that direct automated feedback and education on stress and sleep are essential. A pilot study is planned to assess feasibility, acceptability, and usefulness in more detail.

Digital Peer-Supported App Intervention to Promote Physical Activity Among Community-Dwelling Older Adults: Nonrandomized Controlled Trial

BACKGROUND

The use of mobile apps has promoted physical activity levels. Recently, with an increasing number of older adults accessing the internet, app-based interventions may be feasible in older populations. Peer support-based interventions have become a common method for promoting health-related behavior change. To our knowledge, the feasibility of using digital peer support apps (DPSAs) to increase physical activity among older adults and its impact on physical activity and physical function have not been investigated.

OBJECTIVE

This study aims to assess the feasibility of using DPSAs in older adults and to assess changes in physical activity and physical function in DPSA users.

METHODS

We conducted a nonrandomized controlled trial of older adults aged ≥65 years. We recruited participants for 2 distinct 12-week programs designed to increase physical activity. Participants could choose between an intervention group (app program and exercise instruction) or a control group (exercise instruction only). DPSA creates a group chat for up to 5 people with a common goal, and participants anonymously post to each other in the group. Once a day, participants posted a set of their step counts, photos, and comments on a group chat box. The intervention group used the DPSA after receiving 2 face-to-face lectures on its use. The participants were characterized using questionnaires, accelerometers, and physical function assessments. The feasibility of the DPSA was assessed using retention and adherence rates. Physical activity was assessed using accelerometers to measure the daily step count, light intensity physical activity, moderate to vigorous intensity physical activity (MVPA), and sedentary behavior. Physical function was assessed using grip strength and the 30-second chair-stand test.

RESULTS

The participants in the intervention group were more frequent users of apps, were more familiar with information and communication technology, and had a higher baseline physical activity level. The retention and adherence rates for the DPSA intervention were 88% (36/41) and 87.7%, respectively, indicating good feasibility. Participants in the intervention group increased their step count by at least 1000 steps and their MVPA by at least 10 minutes using the DPSA. There was a significant difference in the interaction between groups and intervention time points in the daily step count and MVPA (step count, P=.04; duration of MVPA, P=.02). The DPSA increased physical activity, especially in older adults with low baseline physical activity levels.

CONCLUSIONS

The feasibility of DPSA was found to be good, with the intervention group showing increases in daily steps and MVPA. The effects of DPSA on step count, physical activity, and physical function in older adults with low baseline physical activity should be investigated using randomized controlled trials.

Time- vs Step-Based Physical Activity Metrics for Health

Importance

Current US physical activity (PA) guidelines prescribe moderate to vigorous PA (MVPA) time of at least 150 minutes per week for health. An analogous step-based recommendation has not been issued due to insufficient evidence.

Objective

To examine the associations of MVPA time and step counts with all-cause mortality and cardiovascular disease (CVD).

Design, Setting, and Participants

This cohort study analyzed data from an ongoing follow-up study of surviving participants of the Women's Health Study, a randomized clinical trial conducted from 1992 to 2004 in the US to evaluate use of low-dose aspirin and vitamin E for preventing cancer and CVD. Participants were 62 years or older who were free from CVD and cancer, completed annual questionnaires, and agreed to measure their PA with an accelerometer as part of a 2011-2015 ancillary study. Participants were followed up through December 31, 2022.

Exposures

Time spent in MVPA and step counts, measured with an accelerometer for 7 consecutive days.

Main Outcomes and Measures

The associations of MVPA time and step counts with all-cause mortality and CVD (composite of myocardial infarction, stroke, and CVD mortality) adjusted for confounders. Cox proportional hazards regression models, restricted mean survival time differences, and area under the receiver operating characteristic curve (AUC) were used to evaluate the associations.

Results

A total of 14 399 women (mean [SD] age, 71.8 [5.6] years) were included. The median (IQR) MVPA time and step counts were 62 (20-149) minutes per week and 5183 (3691-7001) steps per day, respectively. During a median (IQR) follow-up of 9.0 (8.0-9.9) years, the hazard ratios (HR) per SD for all-cause mortality were 0.82 (95% CI, 0.75-0.90) for MVPA time and 0.74 (95% CI, 0.69-0.80) for step counts. Greater MVPA time and step counts (top 3 quartiles vs bottom quartile) were associated with a longer period free from death: 2.22 (95% CI, 1.58-2.85) months and 2.36 (95% CI, 1.73-2.99) months at 9 years follow-up, respectively. The AUCs for all-cause mortality from MVPA time and step counts were similar: 0.55 (95% CI, 0.52-0.57) for both metrics. Similar associations of these 2 metrics with CVD were observed.

Conclusion and Relevance

Results of this study suggest that among females 62 years or older, MVPA time and step counts were qualitatively similar in their associations with all-cause mortality and CVD. Step count-based goals should be considered for future guidelines along with time-based goals, allowing for the accommodation of personal preferences.

Cross-sectional associations between patterns and composition of upright and stepping events with physical function: insights from The Maastricht Study

INTRODUCTION

Age-related declines in physical functioning have significant implications for health in later life. Physical activity (PA) volume is associated with physical function, but the importance of the pattern in which PA is accumulated is unclear. This study investigates associations between accelerometer-determined daily PA patterns, including composition and temporal distribution (burstiness) of upright and stepping events, with physical function.

METHODS

Data was from participants who wore an activPAL3 accelerometer as part of The Maastricht Study. Exposures included a suite of metrics describing the composition and the temporal distribution (burstiness) of upright and sedentary behaviour. Physical function outcomes included the six-minute walk test (6MWT), timed chair-stand test (TCST), grip strength (GS), and SF-36 physical functioning sub-scale (SF-36pf). Multivariable linear regression models were used to assess associations, adjusting for covariates including overall PA volume (daily step count).

RESULTS

Participants(n = 6085) had 6 or 7 days of valid data. Upright and stepping event metrics were associated with physical function outcomes, even after adjusting PA volume. Higher sedentary burstiness was associated with better function (6MWT, TCST, and SF-36pf), as was duration and step volume of stepping events (6MWT, TCST, GS, and SF-36pf), step-weighted cadence (6MWT, TCST, and SF-36pf). Number of stepping events was associated with poorer function (6MWT, GS, and SF-36pf), as was upright event burstiness (SF-36pf). Associations varied according to sex.

CONCLUSION

Our study reveals that diverse patterns of physical activity accumulation exhibit distinct associations with various measures of physical function, irrespective of the overall volume. Subsequent investigations should employ longitudinal and experimental studies to examine how changing patterns of physical activity may affect physical function, and other health outcomes.

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

Introduction

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.

Methods

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.

Results

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.

Discussion

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).

Prospective association of daily ambulatory activity with metabolic syndrome in middle-aged and older Japanese adults: the Toon Health Study

BACKGROUND

This cohort study aimed to examine the relationship between objectively measured daily ambulatory activity (AA) variables and the onset of metabolic syndrome (MetS) in middle-aged and older Japanese individuals.

METHODS

A total of 1,034 participants (women, 76.8%; mean age, 56.9 years) who were initially free from MetS, underwent objective assessment of daily AA using a uniaxial accelerometer at baseline. The number of steps, time accumulated in light-intensity AA (LIAA), moderate-to-vigorous intensity AA (MVAA), and total AA (LIAA + MVAA) were calculated. The diagnostic criteria outlined by the Japanese standards were employed to define the presence of MetS. To explore the association between AA variables and MetS onset, both multivariate logistic regression and a restricted cubic spline model were used while controlling for variables such as age, sex, education, alcohol habit, smoking habit, energy intake, and the number of MetS components present at baseline.

RESULTS

Over the course of the 5-year follow-up period, 116 participants (11.2%) developed MetS. In terms of the number of steps, LIAA, and total AA, the third quartile had significantly lower multivariate adjusted odds ratios for MetS onset than the first quartile. The odds ratios (95% confidence intervals) were 0.386 (0.197-0.755), 0.527 (0.285-0.975), and 0.392 (0.206-0.745), respectively. In the spline model, an L-shaped association with MetS was observed for the number of steps (p for nonlinearity = 0.066), LIAA (p for nonlinearity = 0.034), and total AA (p for nonlinearity = 0.040).

CONCLUSIONS

Among the variables related to AA, the index of daily amount AA, in particular, may be linked to the onset of MetS.

Cross-sectional associations between temporal patterns and composition of upright and stepping events with physical function in midlife: Insights from the 1970 British Cohort Study

INTRODUCTION

Age-related decline in physical functioning has significant implications for health in later life but declines begin earlier in midlife. Physical activity (PA) volume is associated with physical function, but the importance of the pattern in which PA is accumulated is unclear. This study investigates associations between patterns of PA accumulation, including the composition, variation, and temporal distribution of upright and stepping events, with physical function in midlife.

METHODS

Participants (n = 4378) from the 1970 British Cohort Study wore an activPAL3 accelerometer on the thigh for 7 consecutive days. Exposure measures included a suite of metrics describing the frequency, duration, and composition of upright events, as well as the duration and volume (total steps) of stepping events. In addition, patterns of accumulation of upright and sedentary events were examined including how fragmented/transient they were (upright-to-sedentary transition probability [USTP]) and their burstiness (the tendency for events to be clustered together followed by longer interevent times). Physical function outcomes included grip strength (GS), balance, and SF-36 physical functioning subscale (SF-36pf). Cross-sectional analyses included multivariable linear regression models to assess associations, adjusting for covariates including overall PA volume (mean daily step count).

RESULTS

Higher upright event burstiness was associated with higher GS, and higher USTP was associated with lower GS. Duration and step volume of stepping events were positively associated with SF-36pf in females. Step-weighted cadence was positively associated with SF-36pf and balance. Contradictory findings were also present (e.g., more transient stepping events were associated with better GS) particularly for GS in males. Inconsistencies between sexes were observed across some associations.

CONCLUSION

Our study reveals that diverse patterns of PA accumulation exhibit distinct associations with various measures of physical function in midlife, irrespective of the overall volume. Contradictory findings and inconsistency between sexes warrant further investigation. Patterns of PA accumulation, in addition to volume, should be considered in future PA research. Longitudinal studies are required to determine whether a given volume of activity accumulated in different patterns, impacts associations between PA and health outcomes.

Wearable Sensors to Monitor Physical Activity in Heart Failure Clinical Trials: State-of-the-Art Review

BACKGROUND

Estimation of the effects that drugs or other interventions have on patients' symptoms and functions is crucial in heart failure trials. Traditional symptoms and functions clinical outcome assessments have important limitations. Actigraphy may help to overcome these limitations due to its objective nature and the potential for continuous recording of data. However, actigraphy is not currently accepted as clinically relevant by key stakeholders.

METHODS AND RESULTS

In this state-of-the-art study, the key aspects to consider when implementing actigraphy in heart failure trials are discussed. They include which actigraphy-derived measures should be considered, how to build endpoints using them, how to measure and analyze them, and how to handle the patients' and sites' logistics of integrating devices into trials. A comprehensive recommendation based on the current evidence is provided.

CONCLUSION

Actigraphy is technically feasible in clinical trials involving heart failure, but successful implementation and use to demonstrate clinically important differences in physical functioning with drug or other interventions require careful consideration of many design choices.

Device-Measured Physical Activity in 3506 Individuals with Knee or Hip Arthroplasty

PURPOSE

Hip and knee arthroplasty aims to reduce joint pain and increase functional mobility in patients with osteoarthritis; however, the degree to which arthroplasty is associated with higher physical activity is unclear. The current study sought to assess the association of hip and knee arthroplasty with objectively measured physical activity.

METHODS

This cross-sectional study analyzed wrist-worn accelerometer data collected in 2013-2016 from UK Biobank participants (aged 43-78 yr). Multivariable linear regression was performed to assess step count, cadence, overall acceleration, and activity behaviors between nonarthritic controls, end-stage arthritic, and postoperative cohorts, controlling for demographic and behavioral confounders. From a cohort of 94,707 participants with valid accelerometer wear time and complete self-reported data, electronic health records were used to identify 3506 participants having undergone primary or revision hip or knee arthroplasty and 68,389 nonarthritic controls.

RESULTS

End-stage hip or knee arthritis was associated with taking 1129 fewer steps per day (95% confidence interval (CI), 811-1447; P < 0.001) and having 5.8 fewer minutes per day (95% CI, 3.0-8.7; P < 0.001) of moderate-to-vigorous activity compared with nonarthritic controls. Unilateral primary hip and knee arthroplasties were associated with 877 (95% CI, 284-1471; P = 0.004) and 893 (95% CI, 232-1554; P = 0.008) more steps than end-stage osteoarthritic participants, respectively. Postoperative unilateral hip arthroplasty participants demonstrated levels of moderate-to-vigorous physical activity and daily step count equivalent to nonarthritic controls. No difference in physical activity was observed between any cohorts in terms of overall acceleration, or time spent in daily light activity, sedentary behavior, or sleep.

CONCLUSIONS

Hip and knee arthroplasties are associated with higher levels of physical activity compared with participants with end-stage arthritis. Unilateral hip arthroplasty patients, in particular, demonstrate equivalence to nonarthritic peers at more than 1 yr after surgery.

The Impact of Physical Activity on Thyroid Health: Insights From Representative Data in Korea

CONTEXT

Thyroid hormones are essential for energy metabolism related to thermogenesis and oxygen consumption.

OBJECTIVE

This study evaluated the potential association of thyroid function including thyroid peroxidase antibodies (TPOAb) with physical activity in nationally representative data.

DESIGN/SETTING/PARTICIPANTS

This retrospective cohort study used data from the Korean National Health and Nutrition Examination Survey between 2013 and 2015. Physical activity (PA) was assessed using metabolic equivalents based on the validated Korean version of the International Physical Activity Questionnaire Short Form. PA level was categorized into 3 groups of high, moderate, and low. Participants with abnormal thyroid function test, restricted activity, or previous history of thyroid disease were excluded in the study.

RESULTS

A total of 5372 participants was finally selected. The free T4 level was lowest in the low PA group, while TSH was not significantly different among the groups. TPOAb titers increased in the following order: moderate PA, low PA, and high PA. After adjustment for confounding factors, moderate PA was associated with a high T4 level and a decrease in TSH and TPOAb with significance. However, there were no significant changes in free T4, TSH, or TPOAb titer in the high PA group. In a subanalysis, females with moderate PA showed a significant decrease in TSH and TPOAb. In both males and females, insulin sensitivity was increased with moderate PA. In obese participants, TSH negatively correlated with PA, and free T4 levels decreased in the low PA. The sensitivity to thyroid hormone did not differ in our study.

CONCLUSION

The present study found an association between thyroid function and moderate PA. Therefore, moderate-intensity PA should be recommended to improve thyroid function.

Step count and multiple health outcomes: An umbrella review

OBJECTIVE

This study aimed to quantify the association between step count and multiple health outcomes in a healthy population.

METHODS

PubMed, Embase, Web of Science, and The Cochrane Library were systematically searched for systematic reviews and meta-analyses from inception to April 1, 2022. Literature screening, data extraction, and data analysis were performed in this umbrella review. The intervention factor was daily step counts measured based on devices. Multiple health outcomes included metabolic diseases, cardiovascular diseases, all-cause mortality, and other outcomes in the healthy population.

RESULTS

Twenty studies with 94 outcomes were identified in this umbrella review. The increase in daily step count contributed to a range of human health outcomes. Furthermore, the special population, different age groups, countries, and cohorts should be carefully considered. Negative correlation between step counts and the following outcomes: metabolic outcomes, cardiovascular diseases, all-cause mortality, postural balance, cognitive function, and mental health. However, there was no association between participation in the outdoor walking group and the improvement of systolic blood pressure and diastolic blood pressure. Analysis of the dose-response association between increasing daily step count and the risk of cardiovascular disease events and all-cause mortality showed a substantially linear relationship.

CONCLUSION

A wide range of health outcomes can benefit from the right number of steps.

Predictors of Sustained Physical Activity During the COVID-19 Pandemic in People With Parkinson Disease in Sweden

BACKGROUND AND PURPOSE

During the first wave of the COVID-19 pandemic, people with Parkinson disease (PwPD) reported deterioration in health and physical activity. The aim of this study was to describe 1-year changes in physical activity and perceived health in PwPD during the COVID-19 pandemic and to identify predictors of sustained physical activity.

METHODS

This study compared perceived health and sensor-derived physical activity (Actigraph GT3x) in PwPD between the first (June to July 2020) and third waves (June to July 2021) of the pandemic. Multiple logistic regression analyses were used to predict sustained physical activity across the study period using personal factors, disease severity, and functioning as independent variables.

RESULTS

Sixty-three PwPD (mean age 71.0 years, 41% females) completed both baseline and 1-year follow-up (26 lost to follow-up). PwPD showed a decrease in average number of steps per day (Δ415 steps, P = 0.048), moderate-to-vigorous-physical activity (Δ7 minutes, P = 0.007) and increase in sedentary time (Δ36 minutes, P <.001) between baseline and 1-year follow-up. While self-perceived walking impairments and depressive symptoms increased significantly, balance confidence decreased between baseline and 1-year follow-up, no significant changes occurred for self-rated health, quality of life, or anxiety. Significant predictors of sustained physical activity levels were 15 years or more of education (odds ratio [OR] = 7.38, P = 0.013) and higher perceived walking ability (OR = 0.18, P = 0.041).

DISCUSSION AND CONCLUSION

Among PwPD with mild to moderate disease severity living in Sweden, factors associated with reduced physical activity levels during the COVID-19 pandemic included older age, lower education levels, and greater perceived walking difficulties.

Family-Focused Facilitated Fitness: Feasibility and Acceptability of a Couple-Based Physical Activity Intervention for Hematopoietic Cell Transplant Recipients and Their Caregiving Partners

Reductions in physical activity (PA) are common among patients following hematopoietic cell transplantation, and a risk factor for poor physical functioning. PA among spouses/cohabiting partners, who frequently serve as the patient's primary caregiver, may also be reduced due to caregiving demands and limited bandwidth for self-care. In addition, the patient-caregiver relationship can be compromised, and communication patterns disrupted. All PA interventions in the hematopoietic cell transplantation setting have focused entirely on patients, ignoring an opportunity to synergistically engage and benefit the caregiver as well. We sought to test feasibility and acceptability of a couple-based intervention entitled Family-Focused Facilitated Fitness (FFFF), designed to improve PA as assessed by daily step counts among both patients undergoing hematopoietic cell transplantation and their caregivers. Guided by interdependence and communal coping perspectives, FFFF is an 8-week, remotely-delivered intervention that provides training in communication skills and joint problem-solving to help patients and caregivers support one another in PA. Participants are also given a Fitbit to track their steps and weekly individualized step prescription based on the 75th percentile ranked value of their last 7 recorded daily step counts. A priori benchmarks for feasibility and acceptability in this single-arm pilot were as follows: 50% of eligible couples would agree to participate, 70% of couples would attend all 8 sessions, 80% of participants would provide valid Fitbit wear data 4/7 days/ week, and among sessions reviewed for treatment fidelity, 85% of treatment protocol elements would be covered. Couples were recruited prior to transplant. Among 26 couples approached and deemed eligible, 17 enrolled (65% agreement) and completed baseline assessment. Three couples later withdrew after transplantation but prior to receiving the intervention, resulting in 14 couples commencing the intervention, on average 21 days post-transplant. Four couples subsequently discontinued due to medical complications (n = 3) or caregiver schedule (n = 1). Among the 10 couples who completed the intervention, the percentage of participants meeting our benchmark of valid Fitbit wear at least 4 days per week was 85% in week 1, 90% in weeks 2 to 7, and 80% in week 8. Treatment fidelity was 95% on average across 24 sessions reviewed (3 cases). Treatment satisfaction scores were uniformly high across multiple dimensions, with all means above 4 on the 1 to 5 scale. Daily step counts among those attending all 8 intervention sessions increased from 2249 ± 302 steps/day in week 1 to 4975 ± 1377 steps/day in week 8 among patients, and from 8676 ± 3760 steps/day in week 1 to 9838 ± 3723 steps/day in week 8 among caregivers. Qualitative feedback indicated perceived mental and physical health benefits of the program. Participants also offered suggestions for adaptations to accommodate medical setbacks and constraints. All a priori feasibility benchmarks were met or exceeded. Results offer promise for utility of the program to engage and leverage patient-caregiver dyads to increase PA following transplant. An investigation using a randomized controlled design will be necessary to adequately examine change over time relative to control and its possible impact on clinical and patient-reported outcomes.

Use of activity trackers to improve blood pressure in young people at risk for cardiovascular disease: a pilot randomized controlled trial

BACKGROUND

Promoting physical activity among young individuals with cardiovascular disease (CVD) risk factors such as hypertension, diabetes, or chronic kidney disease can lower systolic blood pressure (BP). We sought to determine whether a 6-month intervention using a physical activity tracker was feasible and effective, compared with usual care.

METHODS

Participants were recruited at a single academic medical center. Those aged 8-30 years were randomized in a 2:1 ratio to either the intervention (use of a Fitbit physical activity tracker coupled with feedback regarding the participant's step count) or usual care. The primary feasibility outcomes were screening-to-enrollment ratio and 6-month retention rates; the primary clinical outcome was a change in systolic BP from 0-6 months.

RESULTS

Sixty-three participants were enrolled (57% male; mean age: 18 ± 4 years). The screening-to-enrollment ratio was 1.8:1. Six-month retention was 62% in the intervention group and 86% in the control group (p = 0.08). Mean change in systolic BP in the intervention group was not significantly different from the control group at 6 months (- 2.3 mmHg; 95% CI - 6.5, 1.8 vs. 3.0 mmHg; 95% CI - 2.5, 8.4, respectively, p = 0.12).

CONCLUSIONS

Among children and young adults at elevated CVD risk, the use of a physical activity tracker coupled with tailored feedback regarding their step count progress was feasible but not sustained over time. Physical activity tracker use did not have a statistically significant effect on BP after 6 months. Augmented strategies to mitigate risk in young patients at high risk for early-onset CVD should be explored. This trial is registered at ClinicalTrials.gov (NCT03325426).

The effects of the first wave of COVID-19 restrictions on physical activity: a longitudinal study from "step into health" program in Qatar

Introduction

The COVID-19 pandemic led to restrictions that prevented physical activity in public places. This study sought to conduct a comprehensive longitudinal analysis of how lockdown policies in an Arabian Gulf country influenced the patterns of physical activity during first wave.

Methods

In a longitudinal study design, members of the ongoing "Step into health" community-based health promotion program who provided valid pedometer data from January to August 2020, covering pre, during and post-covid first wave period met the inclusion criteria.

Results

420 (76.7% men, 13.8% ≤40 years) were included in the study. Overall, significant decline in daily step counts was recorded (-1,130 ± SE302) after the implementation of lockdown policies (p < 0.001). When the restrictions were removed, the steps per day were still lower compared to pre-covid for men (-910 ± SE610, p = 0.017) and among individuals with normal BMI (-1,304 ± SE409, p = 0.004). The lockdown in Qatar did not significantly affect women and individuals with obesity who already had lower daily steps pre-covid.

Discussion

The present study confirms immediate decline in daily steps imposed indirectly through the COVID-19 lockdown measures. Participants with higher physical activity levels pre-covid experienced significant decline in step count during and even after restrictions were uplifted.

Daily Step Count and its Association with Arterial Stiffness Parameters in Older Adults

BACKGROUND

Daily step count is a simple parameter for assessing physical activity. However, the potential advantages of setting daily step goals below the traditional 10,000-step threshold remain unclear. The cross-sectional study aimed to determine the relationship between daily step counts and arterial stiffness outcomes in older individuals.

METHODS

Forty-eight older adults recorded their daily step counts over a 7-day period using a pedometer. The participants were classified into two groups based on their daily step count: Group 1 (n = 28) consisted of individuals taking fewer than 5000 steps per day, while Group 2 (n = 20) included those who recorded 5,000 to 9,999 steps per day. To evaluate arterial stiffness parameters, we measured pulse wave velocity (PWV), cardio-ankle vascular index (CAVI), and ankle-brachial index (ABI). Hemodynamic and biochemical parameters were also determined.

RESULTS

Participants who accumulated fewer daily steps exhibited higher PWV compared to each group. An inverse association was observed between average steps per day and PWV. However, no significant differences were found between daily step counts and CAVI or ABI.

CONCLUSION

Conclusions: As individuals increase their daily step count, they may experience a reduction in arterial stiffness. Consequently, the assessment of daily steps has benefits for enhancing vascular health and overall well-being among older individuals.

Use of Community Engagement Studios to Adapt a Hybrid Effectiveness-Implementation Study of Social Incentives and Physical Activity for the STEP Together Study

Physical activity is known to contribute to good health, but most adults in the United States do not meet recommended physical activity guidelines. Social incentive interventions that leverage insights from behavioral economics have increased physical activity in short-term trials, but there is limited evidence of their effectiveness in community settings or their long-term effectiveness. The STEP Together study is a Hybrid Type 1 effectiveness-implementation study to address these evidence and implementation gaps. This paper describes the process of adapting study procedures prior to the effectiveness trial using Community Engagement (CE) Studios, facilitated meetings during which community members provide feedback on research projects. Six CE Studios were held with community members from the priority population. They were conducted remotely because of the COVID-19 pandemic. Fifteen liaisons representing 13 community organizations and 21 community members from different neighborhoods in Philadelphia participated. Three elements of the study design were modified based on feedback from the CE Studios: lowering the age requirement for an 'older adult', clarifying the definition of family members to include second-degree relatives, and adding a 6-month survey. These adaptations will improve the fit of the effectiveness trial to the local context and improve participant engagement and retention. CE Studios can be used to adapt intervention strategies and other aspects of study design during hybrid implementation-effectiveness trials. This approach was successfully used with remote online participation due to the COVID-19 pandemic and serves as a model for future community-engaged implementation research.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Breaking prolonged sitting increases 24-h physical activity and self-perceived energy levels but does not acutely affect cognition in healthy adults

INTRODUCTION

It is unknown whether predetermined (un)interrupted sitting within a laboratory setting will induce compensatory changes in human behaviours (energy intake and physical activity) once people return to a free-living environment. The effects of breaking up prolonged sitting on cognition are also unclear.

METHODS

Twenty-four (male = 13) healthy participants [age 31 ± 8 y, BMI 22.7 ± 2.3 kg/m2 (mean ± SD)] completed 320 min mixed-feeding trials under prolonged sitting (SIT) or with 2 min walking at 6.4 km/h every 20 min (ACTIVE), in a randomised crossover design. Human behaviours were recorded post-trial under free-living conditions until midnight. Cognitive performance was evaluated before and immediately after SIT and ACTIVE trials. Self-perceived sensations (appetite, energy and mood) and finger prick blood glucose levels were collected at regular intervals throughout the trials.

RESULTS

There were no differences between trials in eating behaviour and spontaneous physical activity (both, p > 0.05) in free-living conditions, resulting in greater overall total step counts [11,680 (10740,12620) versus 6049 (4845,7253) steps] and physical activity energy expenditure (PAEE) over 24-h period in ACTIVE compared to SIT (all, p < 0.05). Greater self-perceived levels of energy and lower blood glucose iAUC were found in ACTIVE trial compared to SIT trial (both, p < 0.05). No differences were found in cognitive performance between trials (all, p > 0.05).

CONCLUSION

Breaking up sitting does not elicit subsequent behavioural compensation, resulting in greater 24-h step counts and PAEE in healthy adults. Breaking up sitting reduces postprandial glucose concentrations and elicits greater self-perceived energy levels, but these positive effects do not acutely translate into improved cognitive function.

Does Walking Have an Association with Osteoarthritis? A Two-Sample Mendelian Randomization Analysis

Objective

Osteoarthritis (OA) is one of the major disabling human diseases. The related studies indicate a potential correlation between walking and OA. However, there is still a lack of evidence in genetics to support the correlation between walking and OA. Therefore, this study aimed to explore the relationship between walking and OA at the genetic level.

Methods

The publicly available Genome Wide Association Study (GWAS) data were used, with inverse variance weighting (IVW, the random-effects model) as the main analysis method, whereas MR-Egger, Weighted median, Simple mode, and Weighted mode as the secondary analysis methods. In addition, Cochran's Q test, pleiotropy test, and MR-Egger intercept test were conducted to examine the heterogeneity and pleiotropy of the outcome.

Results

In the MR analysis, IVW results showed a negative correlation between types of physical activity in last 4 weeks: Walking for pleasure (not as a means of transport) and OA (KOA or HOA) (odds ratio (OR) = 0.3224, 95% confidence interval (CI): 0.1261 to 0.8243), and the difference was of statistical significance (P = 0.0181). Moreover, IVW results also revealed a negative correlation between types of physical activity in last 4 weeks: Walking for pleasure (not as a means of transport) and KOA (OR = 0.1396, 95% CI: 0.0484 to 0.4026), and the difference was statistically significant (P = 0.0003). However, IVW results did not demonstrate any statistical significance types of physical activity in last 4 weeks: Walking for pleasure (not as a means of transport) and HOA (OR = 1.2075, 95% CI: 0.1978 to 7.3727, P = 0.8381).

Conclusion

From genetic studies, types of physical activity in last 4 weeks: Walking for pleasure (not as a means of transport) is negatively correlated with knee osteoarthritis (KOA), but there is no clear evidence supporting its correlation with hip osteoarthritis (HOA).

Temporal Interactions between Maintenance of Cerebral Cortex Thickness and Physical Activity from an Individual Person Micro-Longitudinal Perspective and Implications for Precision Medicine

Maintenance of brain structure is essential for neurocognitive health. Precision medicine has interests in understanding how maintenance of an individual person's brain, including cerebral cortical structure, interacts with lifestyle factors like physical activity. Cortical structure, including cortical thickness, has recognized relationships with physical activity, but concepts of these relationships come from group, not individual, focused findings. Whether or how group-focused concepts apply to an individual person is fundamental to precision medicine interests but remains unclear. This issue was studied in a healthy man using concurrent micro-longitudinal tracking of magnetic resonance imaging-defined cortical thickness and accelerometer-defined steps/day over six months. These data permitted detailed examination of temporal relationships between thickness maintenance and physical activity at an individual level. Regression analyses revealed graded significant and trend-level temporal interactions between preceding activity vs. subsequent thickness maintenance and between preceding thickness maintenance vs. subsequent activity. Interactions were bidirectional, delayed/prolonged over days/weeks, positive, bilateral, directionally asymmetric, and limited in strength. These novel individual-focused findings in some ways are predicted, but in other ways remain unaddressed or undetected, by group-focused work. We suggest that individual-focused concepts of temporal interactions between maintenance of cortical structure and activity can provide needed new insight for personalized tailoring of physical activity, cortical, and neurocognitive health.

Wearable Sensors as a Preoperative Assessment Tool: A Review

Surgery is a common first-line treatment for many types of disease, including cancer. Mortality rates after general elective surgery have seen significant decreases whilst postoperative complications remain a frequent occurrence. Preoperative assessment tools are used to support patient risk stratification but do not always provide a precise and accessible assessment. Wearable sensors (WS) provide an accessible alternative that offers continuous monitoring in a non-clinical setting. They have shown consistent uptake across the perioperative period but there has been no review of WS as a preoperative assessment tool. This paper reviews the developments in WS research that have application to the preoperative period. Accelerometers were consistently employed as sensors in research and were frequently combined with photoplethysmography or electrocardiography sensors. Pre-processing methods were discussed and missing data was a common theme; this was dealt with in several ways, commonly by employing an extraction threshold or using imputation techniques. Research rarely processed raw data; commercial devices that employ internal proprietary algorithms with pre-calculated heart rate and step count were most commonly employed limiting further feature extraction. A range of machine learning models were used to predict outcomes including support vector machines, random forests and regression models. No individual model clearly outperformed others. Deep learning proved successful for predicting exercise testing outcomes but only within large sample-size studies. This review outlines the challenges of WS and provides recommendations for future research to develop WS as a viable preoperative assessment tool.

A Smartphone-Based Shopping Mall Walking Program and Daily Walking Steps

Importance

Because shopping malls are considered safe places for walking, several mall walking programs have been developed. Research on the association between the use of walking programs and the number of daily steps taken is limited.

Objective

To evaluate the association between use of a smartphone-based shopping mall walking program and daily steps taken after the COVID-19 pandemic.

Design, Setting, and Participants

This cohort study evaluated a nationwide longitudinal data set of 217 344 registered smartphone app users at least 18 years of age residing in Japan. Daily step counts were collected from January 1 to December 31, 2021.

Exposures

The mall walking program Mall Challenge integrated a global positioning system with a smartphone app's incentive system to reward achieving a goal of 1000 daily steps with lottery-based coupons to win from 0 to 500 shopping points (1 point equaled 1 yen or approximately US $0.01).

Main Outcomes and Measures

Daily step records were collected from the smartphone app's walking program and adjusted for gender and age. Multilevel analyses using mixed-effect linear regression models were used to estimate the coefficients for the association between daily participation in the walking program and daily step counts. Cross-level interaction terms of age and gender by walking program participation were included in one model.

Results

Among the 217 344 registered mall app users (23 638 110 daily step records; 154 616 [71.1%] women; 18 014 [8.3%] participants 65 years or older, and 199 330 [91.7%] adults younger than 65 years), the mean (SD) daily steps were 7415 (4686) on walking program participation days and 5281 (4339) on days without participation in the program. Walking program participation days were associated with 1219 additional daily steps (95% CI, 1205-1232) compared with nonparticipation days after adjusting for gender and age. By geographic region, participation in the walking program was associated with 1130 (95% CI, 1113-1146) more steps in rural malls, 1403 (95% CI, 1379-1428) more steps in suburban malls, and 1433 (95% CI, 1408-1457) more steps in urban malls than nonparticipation. Moreover, participation in the walking program was associated with 1422 (95% CI, 1405-1439) more steps in large malls and 1059 (95% CI, 1041-1077) more steps in small malls compared with nonparticipation. Regarding cross-level interactions, women were associated with walking 728 (95% CI, 698-758) more steps than men, and older adults were associated with walking 228 (95% CI, 183-273) more steps than younger adults on walking program participation days.

Conclusions and Relevance

This cohort study found that the use of a smartphone-based mall walking program combined with physical shopping mall facilities and lottery-based digital incentive coupons may motivate people to increase their daily number of walking steps.

Internal but Not External Building Design Associated With More Occupational Physical Activity

BACKGROUND

Few studies have explored the impact of internal building design features on physical activity. The purpose of this study is to determine building design features associate with physical activity and sedentary behaviors.

METHODS

Full-time workers (n = 114) wore an ActivPal monitor for 4 work days to measure physical activity and sedentary behaviors. Participants completed a 25-item survey about the presence of external, internal, and staircase design features at their worksite. Participants also reported their desk type. General linear models were used to examine relations between the number of features present for each category and physical activity (steps per hour) and sedentary behavior (sitting time per hour).

RESULTS

Internal design scores were positively associated with occupational physical activity. Each single item increase in facilitating internal design features was associated with +64.5 steps/hr (p = .045) at work. Workers who reported having a desk job walked 538 fewer steps/hr (p < .01) and sat 17 min more/hr at work than workers who reported not having a desk.

CONCLUSION

These results suggest that internal design features can promote more movement and less sitting at work. Future studies that examine the longitudinal effect of changing internal design features on occupational physical activity and sedentary behaviors are warranted.

Feedbacks Using behaviOral econOmic theories on STEP countS in Cardiovascular Disease Patients (FOOTSTEPS) Using Novel Daily Step Counts Retrieving System

The effectiveness of gamification-based feedback systems that utilize non-monetary points to promote exercise among cardiovascular disease (CVD) patients has not been fully evaluated. This study aimed to evaluate the effectiveness of a gamification program using non-monetary points on the daily step counts in CVD patients. We collected 30 patients with a history of heart failure or myocardial infarction at a single tertiary center between January 9, 2023, and April 13, 2023. The primary outcome was the change in daily step counts. The baseline step counts were compared with those during the 4-week gamification and the 1-week follow-up period. A total of 29 participants with a mean age of 64.6 years were finally enrolled, and 8 (27.6%) were female. Among them, 23 (79.3%) had a history of old myocardial infarction, and 9 (31.0%) had a history of chronic heart failure. During the intervention period, the average daily step counts increased significantly from baseline in weeks 1-5 (week 1: 1165 steps; 95% CI, 319-2011; P = 0.009, week 2: 1508; 635-2382; P = 0.001, week 3: 1321; 646-1996; P < 0.001, week 4: 1436; 791-2081; P < 0.001, week 5:1148; 436-1860; P < 0.001). Higher body mass index was statistically associated with the smaller difference in step counts from the baseline, and the lower proportion of achievement of step count goals. Female sex was significantly associated with the higher proportion of achievement of step count goals. In conclusion, this pilot prospective interventional study demonstrated the effectiveness of gamification-based feedback systems that utilize non-monetary points to increase daily step counts in CVD patients.

Automatic processes moderate the association between reflective processes and movement behavior: A cross-sectional study

Dual-process theories postulate that both reflective and automatic processes regulate health behavior. Further research is required to test the basic postulates of dual-process theories. We investigated the direct associations and moderating effect between automatic processes and multiple indicators of reflective processes on various levels of physical activity and sedentary behavior assessed using accelerometry in adults who were not participating in regular physical exercise programs. This cross-sectional study included 257 adults. Each participant completed a computerized test for automatic associations, a set of questions assessing reflective processes, a seven-day assessment using accelerometers to determine their levels of physical activity and sedentary behavior. The results showed a direct relationship between perceived benefits (B = 15.90, p = 0.043), perceived cons (B = -12.81, p = 0.034), decisional intention (B = -0.07, p = 0.049) with light physical activity, and self-efficacy with daily steps (B = 485.71, p = 0.008). There was a positive association between intention strength and daily steps when implicit associations favored physical activity (b = 623.36, LLCI = 79.09, ULCI = 1167.62, p = 0.025); a negative association between self-efficacy and sedentary behavior when implicit associations favored sedentary behavior (b = -25.73, LLCI = -49.77, ULCI = -1.70, p = 0.035); and a positive association between intention strength and sedentary behavior when implicit associations favored physical activity (b = 34.18, LLCI = 8.81, ULCI = 59.56, p = 0.008). These findings underscore the importance of considering the interplay between reflective and automatic processes in shaping movement behavior.

The association between daily step count and all-cause and cardiovascular mortality: a meta-analysis

AIMS

There is good evidence showing that inactivity and walking minimal steps/day increase the risk of cardiovascular (CV) disease and general ill-health. The optimal number of steps and their role in health is, however, still unclear. Therefore, in this meta-analysis, we aimed to evaluate the relationship between step count and all-cause mortality and CV mortality.

METHODS AND RESULTS

We systematically searched relevant electronic databases from inception until 12 June 2022. The main endpoints were all-cause mortality and CV mortality. An inverse-variance weighted random-effects model was used to calculate the number of steps/day and mortality. Seventeen cohort studies with a total of 226 889 participants (generally healthy or patients at CV risk) with a median follow-up 7.1 years were included in the meta-analysis. A 1000-step increment was associated with a 15% decreased risk of all-cause mortality [hazard ratio (HR) 0.85; 95% confidence interval (CI) 0.81-0.91; P < 0.001], while a 500-step increment was associated with a 7% decrease in CV mortality (HR 0.93; 95% CI 0.91-0.95; P < 0.001). Compared with the reference quartile with median steps/day 3867 (2500-6675), the Quartile 1 (Q1, median steps: 5537), Quartile 2 (Q2, median steps 7370), and Quartile 3 (Q3, median steps 11 529) were associated with lower risk for all-cause mortality (48, 55, and 67%, respectively; P < 0.05, for all). Similarly, compared with the lowest quartile of steps/day used as reference [median steps 2337, interquartile range 1596-4000), higher quartiles of steps/day (Q1 = 3982, Q2 = 6661, and Q3 = 10 413) were linearly associated with a reduced risk of CV mortality (16, 49, and 77%; P < 0.05, for all). Using a restricted cubic splines model, we observed a nonlinear dose-response association between step count and all-cause and CV mortality (Pnonlineraly < 0.001, for both) with a progressively lower risk of mortality with an increased step count.

CONCLUSION

This meta-analysis demonstrates a significant inverse association between daily step count and all-cause mortality and CV mortality with more the better over the cut-off point of 3867 steps/day for all-cause mortality and only 2337 steps for CV mortality.

Effects of intermittent fasting combined with physical exercise on cardiometabolic outcomes: systematic review and meta-analysis of clinical studies

CONTEXT

Different intermittent fasting (IF) protocols have been proven to be efficient in improving cardiometabolic markers, but further research is needed to examine whether or not combining IF regimens plus physical exercise is superior to control diets (ie, nonfasting eating) plus physical exercise in this setting.

OBJECTIVE

The aim of this study was to determine whether or not combining IF plus exercise interventions is more favorable than a control diet plus exercise for improving cardiometabolic health outcomes.

DATA SOURCE

PubMed, Scopus, and Web of Science were comprehensively searched until April 2023.

DATA EXTRACTION

Electronic databases were searched for clinical trials that determined the effect of IF plus exercise vs a control diet plus exercise on body weight, lipid profile (high-density lipoprotein [HDL], low-density lipoprotein [LDL], triglycerides, and total cholesterol), and systolic and diastolic blood pressure (SBP and DBP, respectively). Analyses were conducted for IF plus exercise vs a nonfasting diet plus exercise to calculate weighted mean differences (WMDs).

DATA ANALYSIS

The meta-analysis included a total of 14 studies, with a total sample of 360 adults with or without obesity. The duration ranged from 4 to 52 weeks. IF plus exercise decreased body weight (WMD = -1.83 kg; P = 0.001), LDL (WMD = -5.35 mg/dL; P = 0.03), and SBP (WMD = -2.99 mm Hg; P = 0.003) significantly more than a control diet plus exercise. HDL (WMD = 1.57 mg/dL; P = 0.4) and total cholesterol (WMD = -2.24 mg/dL; P = 0.3) did not change significantly for IF plus exercise vs a control diet plus exercise, but there was a trend for reducing triglycerides (WMD = -13.13 mg/dL; P = 0.07) and DBP (WMD = 2.13 mm Hg; P = 0.05), which shows clinical magnitude.

CONCLUSION

IF plus exercise improved some cardiometabolic outcomes (body weight, blood pressure, and lipid profile) compared with a control diet plus exercise.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42023423878.

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

OBJECTIVE

Coronary 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.

METHODS

Using 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.

RESULTS

After 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).

CONCLUSIONS

Higher 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.

Open-Source, Step-Counting Algorithm for Smartphone Data Collected in Clinical and Nonclinical Settings: Algorithm Development and Validation Study

BACKGROUND

Step counts are increasingly used in public health and clinical research to assess well-being, lifestyle, and health status. However, estimating step counts using commercial activity trackers has several limitations, including a lack of reproducibility, generalizability, and scalability. Smartphones are a potentially promising alternative, but their step-counting algorithms require robust validation that accounts for temporal sensor body location, individual gait characteristics, and heterogeneous health states.

OBJECTIVE

Our goal was to evaluate an open-source, step-counting method for smartphones under various measurement conditions against step counts estimated from data collected simultaneously from different body locations ("cross-body" validation), manually ascertained ground truth ("visually assessed" validation), and step counts from a commercial activity tracker (Fitbit Charge 2) in patients with advanced cancer ("commercial wearable" validation).

METHODS

We used 8 independent data sets collected in controlled, semicontrolled, and free-living environments with different devices (primarily Android smartphones and wearable accelerometers) carried at typical body locations. A total of 5 data sets (n=103) were used for cross-body validation, 2 data sets (n=107) for visually assessed validation, and 1 data set (n=45) was used for commercial wearable validation. In each scenario, step counts were estimated using a previously published step-counting method for smartphones that uses raw subsecond-level accelerometer data. We calculated the mean bias and limits of agreement (LoA) between step count estimates and validation criteria using Bland-Altman analysis.

RESULTS

In the cross-body validation data sets, participants performed 751.7 (SD 581.2) steps, and the mean bias was -7.2 (LoA -47.6, 33.3) steps, or -0.5%. In the visually assessed validation data sets, the ground truth step count was 367.4 (SD 359.4) steps, while the mean bias was -0.4 (LoA -75.2, 74.3) steps, or 0.1%. In the commercial wearable validation data set, Fitbit devices indicated mean step counts of 1931.2 (SD 2338.4), while the calculated bias was equal to -67.1 (LoA -603.8, 469.7) steps, or a difference of 3.4%.

CONCLUSIONS

This study demonstrates that our open-source, step-counting method for smartphone data provides reliable step counts across sensor locations, measurement scenarios, and populations, including healthy adults and patients with cancer.

Social epidemiology of Fitbit daily steps in early adolescence

BACKGROUND

Sociodemographic disparities in adolescent physical activity have been documented but mostly rely on self-reported data. Our objective was to examine differences in device-based step metrics, including daily step count (steps d-1), by sociodemographic factors among a diverse sample of 10-to-14-year-old adolescents in the US.

METHODS

We analyzed prospective cohort data from Year 2 (2018-2020) of the Adolescent Brain Cognitive Development (ABCD) Study (N = 6460). Mixed-effects models were conducted to estimate associations of sociodemographic factors (sex, sexual orientation, race/ethnicity, household income, parental education, and parental marital status) with repeated measures of steps d-1 over the course of 21 days.

RESULTS

Participants (49.6% female, 39.0% racial/ethnic minority) accumulated an average of 9095.8 steps d-1. In mixed-effects models, 1543.6 more steps d-1 were recorded for male versus female sex, Black versus White race (328.8 more steps d-1), heterosexual versus sexual minority sexual orientation (676.4 more steps d-1), >$200,000 versus <$25,000 household income (1003.3 more steps d-1), and having married/partnered parents versus unmarried/unpartnered parents (326.3 more steps d-1). We found effect modification by household income for Black adolescents and by sex for Asian adolescents.

CONCLUSIONS

Given sociodemographic differences in adolescent steps d-1, physical activity guidelines should focus on key populations and adopt strategies optimized for adolescents from diverse backgrounds.

IMPACT

Sociodemographic disparities in physical activity have been documented but mostly rely on self-reported data, which can be limited by reporting and prevarication bias. In this demographically diverse sample of 10-14-year-old early adolescents in the U.S., we found notable and nuanced sociodemographic disparities in Fitbit steps per day. More daily steps were recorded for male versus female sex, Black versus White race, heterosexual versus sexual minority, >$100,000 versus <$25,000 household income, and having married/partnered versus unmarried/unpartnered parents. We found effect modification by household income for Black adolescents and by sex for Asian adolescents.

Reduction of Financial Health Incentives and Changes in Physical Activity

Importance

Governments and others continue to use financial incentives to influence citizen health behaviors like physical activity. However, when delivered on a population scale they can be prohibitively costly, suggesting more sustainable models are needed.

Objectives

To evaluate the association of incomplete financial incentive withdrawal ("schedule thinning") with physical activity after more than a year of incentive intervention and to explore whether participant characteristics (eg, app engagement and physical activity) are associated with withdrawal outcomes.

Design, Setting, and Participants

This case-control study with a pre-post quasi-experimental design included users of a government-funded health app focused on financial incentives. Eligible participants were residents in 3 Canadian provinces over 25 weeks in 2018 and 2019. Data were analyzed from July 2021 to December 2022.

Exposure

Due to fiscal constraints, financial incentives for daily physical activity goals were withdrawn in Ontario in December 2018 (case)-representing a 90% reduction in incentive earnings-but not in British Columbia or Newfoundland and Labrador (controls).

Main Outcome and Measures

The primary outcome was objectively assessed weekly mean daily step count. Linear regression models were used to compare pre-post changes in daily step counts between provinces (a difference-in-differences approach). Separate models were developed to examine factors associated with changes in daily step count (eg, app engagement and physical activity). Clinically meaningful initial effect sizes were previously reported (approximately 900 steps/d overall and 1800 steps/d among the physically inactive).

Results

In total there were 584 760 study participants (mean [SD] age, 34.3 [15.5] years; 220 388 women [63.5%]), including 438 731 from Ontario, 124 101 from British Columbia, and 21 928 from Newfoundland and Labrador. Significant physical activity declines were observed when comparing pre-post changes in Ontario to British Columbia (-198 steps/d; 95% CI, -224 to -172 steps/d) and Newfoundland and Labrador (-274 steps/d; 95% CI, -323 to -225 steps/d). The decrease was most pronounced for highly engaged Ontario users (-328 steps/d; 95% CI, -343 to -313 steps/d). Among physically inactive Ontario users, physical activity did not decline following withdrawal (107 steps/d; 95% CI, 90 to 124 steps/d).

Conclusions and Relevance

In this case-control study of incomplete financial incentive withdrawal, statistically significant daily step count reductions were observed in Ontario; however, these declines were modest and not clinically meaningful. Amidst substantial program savings, the physical activity reductions observed here may be acceptable to decision-makers working within finite budgets.

Hip and Knee Osteoarthritis, Not Nonsteroidal Anti-Inflammatory Drugs, are Linked to Cardiac Disease

BACKGROUND

In 2005, the Food and Drug Administration placed a black-box warning (the most stringent warning for drugs) on all nonaspirin nonsteroidal anti-inflammatory drugs (NSAIDs) stating that these agents may cause heart attacks and/or strokes. No level I evidence demonstrates that nonselective NSAIDs increase cardiovascular risk. An alternative hypothesis is that hip and knee osteoarthritis (OA) indirectly causes cardiovascular disease (CVD) through decreased activity and NSAIDs are correlated with CVD as an arthritis treatment.

METHODS

Systematic reviews were conducted to find observational studies evaluating the association of hip and/or knee OA, CVD, activity, walking, and step counts. The systematic review found studies correlating hip and/or knee OA and CVD morbidity incidence (n = 2); CVD morbidity prevalence (n = 6); odds ratios, relative risks, or hazard ratios of CVD morbidity (n = 11); relative risk, standardized mortality ratios, or hazard ratios of CVD mortality (n = 14); and all-cause mortality hazard ratios associated with NSAID use (n = 3).

RESULTS

Hip OA (5 studies), knee OA (9 studies), and hip and knee OA (6 studies) are linked to an increased risk of CVD morbidity and mortality. Cardiac risk increases with validated disability scores, use of walking aids, walking difficulties, longer follow-up times, younger ages of OA onset, numbers of joints involved, and OA severities. No study linked NSAID use to cardiac disease.

CONCLUSIONS

All studies with more than 10-year follow-up linked cardiac disease with hip and knee OA. No study linked nonselective NSAID use to CVD. The Food and Drug Administration should reconsider the black-box warnings on naproxen, ibuprofen, and celecoxib.

[Mobility and Urban Health]

Cities and communities form complex microcosms in which people with very different needs and opportunities live. The structural design and functionality of urban spaces have a significant impact on individual mobility and thus on the health and quality of life of the entire population. In recent decades, politicians and municipalities have accepted negative effects on people (especially vulnerable groups) and ecosystems as a price worth paying for ensuring mobility through car-friendly structures. The interconnection of health and sustainability aspects will be a central process component for the necessary transformation of urban structures in integrated urban and transport planning. Although there are many positive framework conditions and possible solutions in the international and national context, numerous processes need to be optimized and measures implemented on a large scale. In addition, the existing tools in urban and traffic planning must be further expanded to include health aspects more comprehensively. This requires readjustments in science, in municipal practice planning, in education and in interdisciplinary funding programs.

Lifestyle and patterns of physical activity in Hadza foragers

OBJECTIVES

Physically active lifestyles are associated with several health benefits. Physical activity (PA) levels are low in post-industrial populations, but generally high throughout life in subsistence populations. The Hadza are a subsistence-oriented foraging population in Tanzania known for being physically active, but it is unknown how recent increases in market integration may have altered their PA patterns. In this study, we examine PA patterns for Hadza women and men who engage in different amounts of traditional foraging.

MATERIALS AND METHODS

One hundred and seventy seven Hadza participants (51% female, 19-87 years) wore an Axivity accelerometer (dominant wrist) for ~6 days during dry season months. We evaluated the effects of age, sex, and lifestyle measures on four PA measures that capture different aspects of the PA profile.

RESULTS

Participants engaged in high levels of both moderate-intensity PA and inactivity. Although PA levels were negatively associated with age, older participants were still highly active. We found no differences in PA between participants living in more traditional "bush" camps and those living in more settled "village" camps. Mobility was positively associated with step counts for female participants, and schooling was positively associated with inactive time for male participants.

CONCLUSIONS

The similarity in PA patterns between Hadza participants in different camp types suggests that high PA levels characterize subsistence lifestyles generally. The sex-based difference in the effects of mobility and schooling on PA could be a reflection of the Hadza's gender-based division of labor, or indicate that changes to subsistence-oriented lifestyles impact women and men in different ways.

Sex-specific differences in the association between steps per day and all-cause mortality among a cohort of adult patients from the United States with congestive heart failure

BACKGROUND

There is a lack of understanding of how daily step counts differentially affect the risk of all-cause mortality in adult with congestive heart failure (CHF) by sex in the United States (US).

OBJECTIVES

To explore the relationship between daily step counts and all-cause mortality in patients with CHF by sex.

METHODS

This is a cohort analysis from the National Health and Nutrition Examination Survey from 2005 to 2006. Multiple Cox hazard regression was performed to explore the association of step counts and all-cause mortality in patients with CHF by sex.

RESULTS

In this study, 363 unweighted samples were enrolled from NHANES 2005-2006, representing about 8.4 million of the US population. Further, 46.28% were women, and the average age was 46 years. Patients with CHF in the more than 5581 steps/day group (HR, 0.31 [95% CI, 0.16-0.58]) had a significantly reduced risk of all-cause mortality compared with the patients in the less 5581 steps/day group after accounting for all covariates. In men, after accounting for all the covariates, there was a significant difference in more than 5581 steps/day group (HR, 0.33 [95% CI, 0.14-0.76]) on all-cause mortality in men with CHF compared with men in the less than 5581 steps/day group.

CONCLUSIONS

Step count is associated with all-cause mortality in patients with CHF. Taking 5581 daily steps was associated with a decreased risk of all-cause mortality in patients with CHF.

The longitudinal effects of the built environment on transportation and recreational walking, and differences by age and sex: systematic review protocol

BACKGROUND

In high-income countries, the prevalence of physical inactivity and non-communicable diseases is high, and it is now well-established that insufficient physical activity is a risk factor for non-communicable diseases. Walking for recreation and transportation are effective means of improving population levels of physical activity. Research finds that the built environment (BE) can encourage or discourage walking behaviour, and this association varies for different age groups and sexes. This systematic review aims to synthesise longitudinal evidence to better understand how the BE affects recreational and transportation walking for different age groups (above 64 years and 18-64 years) and sexes in high-income countries.

METHOD

We will use Scopus, PubMed, SPORTDiscus with Full Text (EBSCO), Business Source Complete (EBSCO), Art and Architecture Archive (Proquest), Avery Index to Architectural Periodicals (ProQuest), and Art, Design & Architecture Collection (ProQuest) databases to search for relevant studies. Reviewers will screen the search results according to pre-specified eligibility criteria for study inclusion in the review. Required data for the synthesis will be extracted from the included studies to answer the research questions. Further, the methodological quality of the studies included in this systematic review will be evaluated using an established instrument, and the resulting quality scores will be utilized in sensitivity analysis. The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) checklist will be followed when reporting the findings.

DISCUSSION

This review will identify BE attributes that are likely to influence transportation and recreational walking for younger and older adults and different sexes in high-income countries. The findings will help policymakers with making decisions around walkable built environments for older and younger adults and different sexes to keep them healthy.

TRIAL REGISTRATION

This protocol of the prospective systematic review is developed following PRISMA-P guidelines and is registered on the Prospective Register of Systematic Reviews (PROSPERO) (registration ID CRD42022351919).

Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

The term "digital phenotype" refers to the digital footprint left by patient-environment interactions. It has potential for both research and clinical applications but challenges our conception of health care by opposing 2 distinct approaches to medicine: one centered on illness with the aim of classifying and curing disease, and the other centered on patients, their personal distress, and their lived experiences. In the context of mental health and psychiatry, the potential benefits of digital phenotyping include creating new avenues for treatment and enabling patients to take control of their own well-being. However, this comes at the cost of sacrificing the fundamental human element of psychotherapy, which is crucial to addressing patients' distress. In this viewpoint paper, we discuss the advances rendered possible by digital phenotyping and highlight the risk that this technology may pose by partially excluding health care professionals from the diagnosis and therapeutic process, thereby foregoing an essential dimension of care. We conclude by setting out concrete recommendations on how to improve current digital phenotyping technology so that it can be harnessed to redefine mental health by empowering patients without alienating them.

A Smartphone App Shows Patients Return to Preoperative Gait Metrics 6 Weeks After Hip Arthroscopy, and Gait Metrics Have Low to Moderate Correlations With a Hip-Specific Patient-Reported Outcome Measure

Purpose

The purpose of this study was to use a smartphone app to collect gait metrics in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (FAIS) and determine when gait metrics return to preoperative levels and if gait metrics correlate with postoperative hip-specific patient-reported outcomes.

Methods

Patients undergoing primary hip arthroscopy for FAIS from August 2021 to December 2022 were prospectively enrolled. Patients downloaded the iPhone app, rHip, at ∼6 months postoperatively, enabling retroactive access to Apple Health data. Gait metrics included step count, step length, and walking speed. Each patient's preoperative baseline was compared to that individual's successive postoperative week metrics. All patients underwent a standard 4-stage rehabilitation protocol. We compared metrics from beginning to end of each phase (i.e., week 1 to 6 for phase 1) and evaluated correlations with patient outcomes.

Results

Fifty patients (40 women; age: 31.9 ± 14.5 years) were included. Patients had significantly reduced step count from postoperative weeks 1 to 5 and improved upon baseline at weeks 13 and 16 to 26. Patients had significantly reduced step length from postoperative weeks 1 to 4 and improved upon baseline at weeks 16 and 20. Patients had significantly lower walking speed from postoperative weeks 1 to 6 and improved upon baseline at week 20 (P < .05). Step count significantly improved over phase 1 rehabilitation (P < .05). Step length and walking speed significantly improved over each of phases 1 to 3 (P < .05 for all). Preoperatively, weak correlations were noted between step length and Patient-Reported Outcomes Measurement Information System (PROMIS) for Physical Function (PF)/Pain, as well as walking speed and Hip Outcome Score-Activities of Daily Living (HOS-ADL)/PROMIS-Pain. At 3 months, moderate correlations were noted between step count and HOS-ADL/12-item international Hip Outcome Tool (iHOT-12), step length and HOS-ADL/PROMIS-PF, and walking speed and HOS-ADL/iHOT-12/PROMIS-PF/PROMIS-Pain. At 6 months, weak to moderate correlations were noted between all 3 gait metrics and HOS-ADL.

Conclusions

A smartphone app was capable of capturing health data gait metrics. Patients undergoing hip arthroscopy for FAIS returned to baseline levels in step count, step length, and walking speed after phase 1 (6 weeks) of rehabilitation. The most consistent correlations between gait metrics and step count were seen at 3 months, although only weak to moderate. Gait metrics similarly had weak to moderate correlations with HOS-ADL at 6 months.

Level of Evidence

Level IV, case series.

Acute effects of daily step count on postprandial metabolism and resting fat oxidation: a randomized controlled trial

To examine the effects of daily step count on same-day fat oxidation and postprandial metabolic responses to an evening high-fat mixed meal (HFMM). Ten healthy participants (5 females, 30 ± 7 yr) completed four different daily step counts-2,000 (2 K), 5,000 (5 K), 10,000 (10 K), and 15,000 (15 K) steps-on separate days in randomized order. On experimental days, participants ate the same meals and walked all steps on an indoor track at a pace of 100 steps/min in three roughly equal bouts throughout the day. After the final walking bout, participants' resting energy expenditure (REE), respiratory exchange ratio (RER), and fat oxidation rate (FATOX) were measured. Blood samples were obtained before (BL) and 30-, 60-, 90-, 120-, and 240-min following consumption of an HFMM (960 kcal; 48% fat) to measure triglycerides (i.e., postprandial lipemia; PPL), nonesterified fatty acids (NEFAs), insulin, and glucose. Two-way ANOVAs indicated condition effects where PPL was significantly higher after 2 K versus 10 K (+23 ± 8 mg/dL, P = 0.027), and NEFAs were significantly higher after 15 K versus 2 K (+86 ± 23 µmol/L; P = 0.006). No differences were found for insulin, glucose, or REE among conditions (all P > 0.124). Similarly, RER (P = 0.054; ηp2 = 0.24) and FATOX (P = 0.071; ηp2 = 0.23) were not significantly different among conditions. In young adults, 10 K steps elicited the greatest decrease in PPL, an established cardiovascular disease risk factor. NEFA levels were highest after the 15 K condition, likely due to alterations in adipose tissue lipolysis or lipoprotein lipase activity with increased activity.NEW & NOTEWORTHY This randomized controlled trial demonstrated that walking 10,000, compared with 2,000, steps/day significantly reduced postprandial lipemia (PPL), an independent predictor of cardiovascular disease (CVD) following same-day evening meal consumption. These experimental data support walking 10,000 steps/day to lower CVD risk.

Knowledge and practice of the physical activity prescription by generalists and specialist physicians of the city of Kinshasa: a cross-sectional study

BACKGROUND

The health benefits of regular physical activity (PA) are well documented. However, several people in both developed and developing countries do not meet PA recommendations. Health professionals are believed to be potential PA promoters. The purpose of this study is to gain insight into general and specialist practitioners' knowledge, practices and PA prescription-related factors in private and public hospitals in Kinshasa.

METHODS

A multicenter cross-sectional analytical study was conducted among general and specialist practitioners in the Democratic Republic of the Congo's capital using a declarative and anonymous questionnaire.

RESULTS

Overall, 40.2% of the participants were interested in their patient's PA, 2.3% prescribed PA, and 0.9% did it correctly. Specialist physicians (SPs) prescribed PA more frequently than general practitioners (GP), and private hospital physicians prescribed PA more frequently than public hospital physicians. Five factors were independently associated with participants in prescribing PA: being in a private hospital increased the likelihood of prescribing PA by twofold (aOR, 1.83; 95% CI, 0.99-3.39; p = 0.055), being an SP increased the likelihood by sixfold (aOR, 6.22; 95% CI, 3.78-10.51; p = 0.000), being an internist increase the likelihood by sixfold (aOR, 5.81; 95% CI, 3.45-9.78; p = 0.000), being cardiologist by a factor of 12 (aOR, 12.91; 95% CI, 4.37-38.15; p = 0.000) and knowing the benefits of PA by a factor of 2 (aOR, 2.29; 95% CI, 1.29-4.08; p = 0.006). The most common reason given for a lack of interest in patients' PA, followed by a lack of knowledge about current PA prescribing recommendations and a lack of time.

CONCLUSIONS

SPs and professionals in the private health sector were the most interested in their patients' PA. A small portion of them actually prescribed it, and only a tiny proportion did it correctly. This bleak picture highlights a need to rethink the undergraduate medical curricula, especially about teachings on the importance and use of PA as a medicine in its own right in disease prevention and treatment.

How Could Sensor-Based Measurement of Physical Activity Be Used in Cardiovascular Healthcare?

Physical activity and cardiovascular disease (CVD) are intimately linked. Low levels of physical activity increase the risk of CVDs, including myocardial infarction and stroke. Conversely, when CVD develops, it often reduces the ability to be physically active. Despite these largely understood relationships, the objective measurement of physical activity is rarely performed in routine healthcare. The ability to use sensor-based approaches to accurately measure aspects of physical activity has the potential to improve many aspects of cardiovascular healthcare across the spectrum of healthcare, from prediction, prevention, diagnosis, and treatment to disease monitoring. This review discusses the potential of sensor-based measurement of physical activity to augment current cardiovascular healthcare. We highlight many factors that should be considered to maximise the benefit and reduce the risks of such an approach. Because the widespread use of such devices in society is already a reality, it is important that scientists, clinicians, and healthcare providers are aware of these considerations.

Clinical Pathway for Coronary Atherosclerosis in Patients Without Conventional Modifiable Risk Factors: JACC State-of-the-Art Review

Reducing the incidence and prevalence of standard modifiable cardiovascular risk factors (SMuRFs) is critical to tackling the global burden of coronary artery disease (CAD). However, a substantial number of individuals develop coronary atherosclerosis despite no SMuRFs. SMuRFless patients presenting with myocardial infarction have been observed to have an unexpected higher early mortality compared to their counterparts with at least 1 SMuRF. Evidence for optimal management of these patients is lacking. We assembled an international, multidisciplinary team to develop an evidence-based clinical pathway for SMuRFless CAD patients. A modified Delphi method was applied. The resulting pathway confirms underlying atherosclerosis and true SMuRFless status, ensures evidence-based secondary prevention, and considers additional tests and interventions for less typical contributors. This dedicated pathway for a previously overlooked CAD population, with an accompanying registry, aims to improve outcomes through enhanced adherence to evidence-based secondary prevention and additional diagnosis of modifiable risk factors observed.

StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients

OBJECTIVE

Investigate the preliminary efficacy and feasibility of a personalized mobile health (mHealth) intervention based on social cognitive theory (SCT) to promote physical activity among type 2 diabetes patients via self-monitoring, goal setting, and automatic feedback.

METHODS

We conducted a pilot study involving 33 type 2 diabetes patients attending Mitsui Memorial Hospital in Japan using a pre-post evaluation design over 12 weeks. Participants measured daily step count, body weight, and blood pressure at home, with the measurements synchronized with the StepAdd application (app) automatically. Participants used the app to review daily results, update personalized step goals, identify individualized barriers to achieving the step goals, find coping strategies to overcome each barrier, and implement these strategies, thereby building effective coping skills to meet the goals. Pharmacists examined the usage of the app and provided coaching on lifestyle modifications. Ultimately, patients established skills to enhance diabetes self-care by using the app.

RESULTS

Daily step count increased dramatically with high statistical significance (p < 0.0001), from a mean of 5436 steps/day to 10,150 steps/day, an 86.7 % increase. HbA1c (p = 0.0001) and BMI (p = 0.0038) also improved. Diabetes self-care in diet, exercise, and foot care as well as self-management behavior, self-regulation, and self-efficacy in achieving daily step goals showed significant improvements. The retention rate of the study was very high, at 97.0 % (n = 32).

CONCLUSIONS

A personalized smartphone-based mHealth intervention based on SCT is feasible and effective at promoting physical activity among type 2 diabetes patients. The methodology of the intervention could be readily applied to other patient populations.

The relationship between mortality and daily number of steps in type 2 diabetes

BACKGROUND

Physical activity (PA) is an established modifiable factor for the prevention of cardiovascular disease. Our objective was to assess the association of PA with mortality rates in a national sample of patients with diabetes.

METHODS

We analyzed a nationally representative sample from The National Health and Nutrition Examination Survey (NHANES, periods 2003-2004 and 2005-2006) that used PA Monitors. Individuals were matched for BMI, number of steps/per day and age. Three groups were created: subjects with less than 5000/steps per day (low), 5000-7500/steps per day (moderate) and more than 7500/steps per day (high levels of physical activity). All-cause mortality was ascertained through December 2015.

RESULTS

A sample of 3072 individuals (1018 with diabetes) was analyzed. Patients with diabetes had 30% increased risk of mortality of all causes (RR: 1.298, 95% CI [1.162-1.451], P<0.001), higher levels of PA (>7500 steps/day) provided similar relative risk for subjects with diabetes compared to their controls (RR:1.256 [95% CI 0.910-1.732]). In a Poisson model adjusted for sex, history of previous cardiovascular event or cancer, ethnicity, Hb1ac, SBP, and total cholesterol to HDL ratio, patients with diabetes and moderate or high PA had an associated 44% to 80% lower risk of all-cause mortality compared to those with low PA.

CONCLUSIONS

The subgroup of patients with diabetes and high PA had no excess of mortality compared to the general population. PA can reduce the gap for all-cause mortality, used as an index of cardiovascular fitness and a clinical tool for the assessment of mortality risk.

2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines

AIM

The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease."

METHODS

A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.

2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines

AIM

The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease."

METHODS

A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

STRUCTURE

This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.

Step-Based Metrics and Translations of Physical Activity Guidelines among Adults in the HCHS/SOL

PURPOSE

In a cross-sectional sample of US Hispanic/Latino adults, we aimed to describe step-based metric distributions, estimate their associations with activity counts and self-report, and calibrate step-based translations of current (2018) US physical activity (PA) guidelines, that is, ≥150 min·wk -1 moderate-to-vigorous PA (MVPA) from accelerometer counts and self-report.

METHODS

The Hispanic Community Health Study/Study of Latinos enrolled 16,415 Hispanic/Latino adults 18-74 yr from four US cities (2008-2011). Participants completed the Global PA Questionnaire and 1 wk of Actical accelerometer wear ( n = 12,528). Weighted medians were used to describe step-based metrics, and Spearman correlations estimated their relationships with count-based and self-reported PA indicators. Receiver operator characteristic curve analyses were used to examine the ability of each step-based metric to classify participants meeting PA guidelines.

RESULTS

Overall, US Hispanic/Latino adults accumulated medians of 6770 steps per day and 6, 18, 236, and 630 min·d -1 at ≥100, ≥70, 1-69, and 0 steps per minute, respectively. Count-based time in MVPA, light PA, and sedentary behavior were most strongly correlated ( rs = 0.79-0.85) with times ≥70, 1-69, and 0 steps per minute, respectively, whereas self-reported MVPA had similar correlations with steps per day and times ≥40 and ≥70 steps per minute ( rs = 0.28-0.29). Time ≥70 steps per minute had the greatest capacity to classify participants meeting PA guidelines with both measures of MVPA.

CONCLUSIONS

This study provides the first normative values (based on percentiles) of step-based metrics for US Hispanic/Latino adults, which can facilitate surveillance, program planning, research, and data interpretation. Our finding that PA guidelines corresponded to 6000-7000 steps per day or ~20 min·d -1 at ≥70 steps per minute with an Actical accelerometer can be considered alongside dose-response relationships with health outcomes to develop step-based recommendations that are consistent with and better communicate PA guidelines.