Physical Activity Measures Research Articles

Abstract 4128919: A Study Using Team Based Hypertension Care Focused on Black Patients to Inform a Future Randomized Trial

Background: Current telemedicine programs to manage hypertension are less effective in Black patients perhaps due to insufficient support for self-care skills and social needs. We describe a tailored program for Black patients emphasizing self-management support and social needs to inform future studies. Method: We piloted a 12-week telemedicine intervention comprising home blood pressure (BP) guided pharmacotherapy, frequent self-management support and social support using pharmacist, nurses, community health workers (CHW) and social workers (SW) among 20 patients in 2 clinics. At enrollment, we trained patients to use a BP monitor and a telemonitoring app that transmits BP real-time via a smartphone and provided a pill box to facilitate medication adherence. We asked patients to measure BP at least once daily and used 6 weeks average to guide pharmacotherapy. Trained nurses helped patients achieve self-care goals and provided 8-12 self-management support calls discussing hypertension, medication adherence, diet, physical activity, weight management, sleep, and BP measurement techniques. SWs and CHWs provided social support to address social needs such as food, transportation, and housing, and also offered home visits. Result: Eighteen patients completed the study of which 15 were Black, 2 White, and 1 Korean (9 were women). Mean age was 61.7 ± 11.8 years. Patients measured BP 10 ± 8.6 times/week and completed 8.3 ± 2.5 self-management calls. Over 12 weeks, SBP/DBP decreased by 16.5 ± 26.2/10.2 ± 18.5 mmHg without safety events (Table). There were 1.1 ± 0.8 (range 0-3) medication adjustments (dose or medication changes) per patient. Patients had 8 minor technical difficulties that were promptly resolved. 17 patients used pill boxes to improve medication adherence. Conclusion: Our tailored telemedicine program to manage hypertension is feasible among Black patients and offer valuable insights for future research.

Abstract 4125679: Physical activity among gender minority adults: A systematic review

Introduction: Gender minority (GM; e.g., transgender, non-binary) adults have a higher prevalence of cardiovascular disease (CVD) than their cisgender (i.e., non-transgender) counterparts. Physical activity (PA) is associated with a lower risk of CVD and all-cause mortality. Compared to cisgender adults, GM adults face unique challenges (e.g., discrimination, lack of safe spaces) to meeting aerobic and muscle-strengthening PA recommendations, which may negatively impact their overall health and well-being. There is also limited evidence on factors associated with lower PA among GM adults. Goal: To understand differences in the prevalence of PA between GM and cisgender adults and to identify factors associated with PA among GM adults. Methods: Following the PRISMA guidelines, we performed a comprehensive search using five databases (PubMed, Embase, Web of Since, CINAHL, and Scopus). We included peer-reviewed, English-language, quantitative empirical studies focused on PA among GM adults published between 2004 and 2024. We excluded qualitative studies, reviews, editorials, conference abstracts, and grey literature. We performed quality appraisal using the Joanna Briggs Institute Critical Appraisal Checklist for Analytical Cross-Sectional Studies. Results: A total of 5,163 articles were retrieved and 24 met inclusion criteria. The included studies had a low to moderate risk of bias. Methodological weaknesses of the included studies were an overreliance on self-reported PA with no objective assessment using accelerometry, use of non-validated PA measures, and limited assessment of muscle-strengthening PA. Most studies (n = 15) reported lower aerobic and muscle-strengthening PA among GM adults compared to their cisgender counterparts. Two studies found that GM adults with higher perceived psychological stress reported lower PA. One study found that GM adults who were on gender-affirming hormone therapy reported higher PA than GM adults who were not. Conclusions: Findings highlight that GM adults report lower aerobic and muscle-strengthening PA than cisgender adults. There is a need for more comprehensive research to understand these disparities and their impact on GM adults’ cardiovascular health. This systematic review can inform future research and the development of tailored interventions to increase PA among GM adults.

Sex differences in the associations of accelerometer-determined physical activity with physical and cognitive function in older adults living in long-term care

Older adults residing in long-term care often experience declines in physical and cognitive functions despite the access to in-house physical activity (PA) programs. This study aimed to evaluate the associations of PA with physical function and global cognitive function in older adults living in long-term care, while examining potential sex differences. A cross-sectional analysis of baseline data from a two-arm cluster randomized controlled trial was conducted, involving 67 participants (34 men, 33 women). PA levels were assessed using tri-axial accelerometers. Physical function, including muscular strength, postural sway, and Short Physical Performance Battery (SPPB) and cognitive function were measured. Spearman correlation analysis revealed no significant associations between PA metrics and muscular strength, postural sway, or global cognitive function across the entire samples (p ≥ 0.091). Multiple linear regression models were developed for the entire sample, males, and females to examine the associations between PA and physical function measures and global cognitive function. After adjustments for confounders, light PA was significantly associated with higher SPPB sub-scores (gait: β = 0.600, p < 0.001; sit-to-stand: β = 0.574, p < 0.001), faster usual gait speed (β = 0.659, p = 0.012), and shorter sit-to-stand times (β = −0.305, p = 0.041) across the whole sample. Similar significant associations were observed in males between light PA and SPPB scores (total: β = 0.319, p = 0.040; gait: β = 0.532, p < 0.001; sit-to-stand: β = 0.417, p = 0.009), usual gait speed (β = 0.762, p = 0.017), and sit-to-stand times (β = −0.677, p < 0.001). In females, a significant association was found between light PA and global cognitive function (β = 0.319, p = 0.012) after adjusting for confounders. This study highlights sex differences in the association of accelerometer-determined PA with physical and cognitive function in older adults living in long-term care, with LPA showing beneficial effects, especially for physical function in males and for cognitive function in females.

Physical activity and DNA methylation-based markers of ageing in 6208 middle-aged and older Australians: cross-sectional and longitudinal analyses.

Epigenetic age quantifies biological age using DNA methylation information and is a potential pathway by which physical activity benefits general health. We aimed to assess the cross-sectional and longitudinal associations between physical activity and epigenetic age in middle-aged and older Australians. Blood DNA methylation data for 6208 participants (40% female) in the Melbourne Collaborative Cohort Study (MCCS) were available at baseline (1990-1994, mean age, 59years) and, of those, for 1009 at follow-up (2003-2007, mean age, 69years). Physical activity measurements (weighted scores at baseline and follow-up and total MET hours per week at follow-up) were calculated from self-reported questionnaire data. Five blood methylation-based markers of ageing (PCGrimAge, PCPhenoAge, bAge, DNAmFitAge, and DunedinPACE) and four fitness-related markers (DNAmGaitspeed, DNAmGripmax, DNAmVO2max, and DNAmFEV1) were calculated and adjusted for age. Linear regression was used to examine the cross-sectional and longitudinal associations between physical activity and epigenetic age. Effect modification by age, sex, and BMI was assessed. At baseline, a standard deviation (SD) increment in physical activity was associated with 0.03-SD (DNAmFitAge, 95%CI = 0.01, 0.06, P = 0.02) to 0.07-SD (bAge, 95%CI = 0.04, 0.09, P = 2 × 10-8) lower epigenetic age. These associations were attenuated after adjustment for other lifestyle variables. Only weak evidence was found for the longitudinal association (N = 1009) of changes in physical activity and epigenetic age (e.g. DNAmFitAge: adjusted β = - 0.04, 95%CI = - 0.08, 0.01). The associations were not modified by age, sex, or BMI. In middle-aged and older Australians, higher levels of self-reported physical activity were associated with slightly lower epigenetic age.

Exercise-Based Telerehabilitation for Heart Failure Patients Declining Outpatient Rehabilitation - A Randomized Controlled Trial.

Purpose: Cardiac rehabilitation participation rates are low despite strong recommendations, and many chronic heart failure patients remain physically inactive. Rural living, long travel distance, costs, age, and frailty might be factors explaining this. To increase cardiac rehabilitation uptake, we designed an exercise-based randomized controlled telerehabilitation trial enabling chronic heart failure patients unable or unwilling to participate in outpatient cardiac rehabilitation to exercise at home. Aim was to evaluate the long-term effects of telerehabilitation on physical activity levels.Methods and results: CHF patients (n = 61) with reduced (≤40%), mildly reduced (41-49%), or preserved ejection fraction (≥50%) were randomized (1:1) to telerehabilitation (n = 31) with an initial 3-month group-based high-intensity exercise telerehabilitation program or control (n = 30), with regular follow-up visits over a 2-year period. All participants attended a "Living with heart failure" course. Outcomes were measures of physical activity, peak oxygen uptake, 6-minute walk test distance, quality of life, morbidity, and mortality. We found no significant differences between groups for long-term changes in moderate to vigorous activity (MVPA) or peak oxygen uptake from baseline to the 2-year follow-up. Nor quality of life differed between groups, but both groups had significant within-group improvements in score on the Minnesota living with heart failure questionnaire (p = 0.000) and improvement in EQ-5D VAS score was significant (p = 0.05) in the telerehabilitation group.Conclusions: Telerehabilitation performed as home-based real-time high-intensity exercise sessions provided by videoconferencing for participants unable or unwilling to participate in standard outpatient cardiac rehabilitation did not affect long-term physical activity levels or physical capacity as expected. Still, a positive effect on health-related quality of life was seen in both groups.

Measuring validity and reliability of the Italian version of Physical Activity Questionnaire for Older Children in overweight and obese children

The measure of daily physical activity (PA) is one of the most important topics in the field of health promotion. In addition, self-efficacy and enjoyment are significant factors that can foster adherence to physical activity during a person’s lifetime. The present study aims to assess the validity and reliability of Physical Activity Questionnaire for Older Children-Italian version (PAQ-C-It) in a sample of normal weight, overweight, and obese children. Three studies were conducted to assess the (1) general characteristics of PAQ-C-It, (2) model fit and construct validity between PA, self-efficacy, and enjoyment, and (3) reliability and construct validity of PAQ-C-It in normal weight, overweight, and obese children. The sample involved a total of 914, 500, and 600 children (male = 466, female = 448) attending first grade of secondary school (age = 11–13 years), in the first, second and third study, respectively. Children were asked to respond to three scales: Physical Activity Questionnaire for Older Children (PAQ-C-It), the Perceived Physical Ability Scale (PPAS), and Physical Activity Enjoyment Scale (PACES). Then, explorative and confirmatory factor analyses were conducted to assess the validity and reliability of the PAQ-C-It by relating results with those of the other scales. The analysis showed acceptable value and internal consistency of items for the subscales (α > 0.7), as well as the average variance extracted (>0.5) in both normal weight, overweight, and obese children. The results of the present study show that PAQ-C-It can be applied in the field of physical activity to measure adherence to physical activity and healthy behaviors. Moreover, self-efficacy and enjoyment are significant factors that can best promote adherence to PA. The present study can extend our knowledge about PAQ-C-It and open up new research avenues for driving interventions aimed at reducing sedentary behavior and improving PA in overweight and obese children.

The behavioral and physiological correlates of affective mood switching in premenstrual dysphoric disorder

Premenstrual dysphoric disorder (PMDD), a more severe manifestation of premenstrual syndrome (PMS), is characterized by emotional, behavioral, and physical symptoms that begin in the mid-to-late luteal phase of the menstrual cycle, when estradiol and progesterone levels precipitously decline, and remit after the onset of menses. Remotely monitoring physiologic variables associated with PMDD depression symptoms, such as heart rate variability (HRV), sleep, and physical activity, holds promise for developing an affective state prediction model. Switching into and out of depressive states is associated with an increased risk of suicide, and therefore, monitoring periods of affective switching may help mitigate risk. Management of other chronic health conditions, including cardiovascular disease and diabetes, has benefited from remote digital monitoring paradigms that enable patients and physicians to monitor symptoms in real-time and make behavioral and medication adjustments. PMDD is a chronic condition that may benefit from real-time, remote monitoring. However, clinical practice has not advanced to monitoring affective states in real-time. Identifying remote monitoring paradigms that can detect within-person affective state change may help facilitate later research on timely and efficacious interventions for individuals with PMDD. This narrative review synthesizes the current literature on behavioral and physiological correlates of PMDD suitable for remote monitoring during the menstrual cycle. The reliable measurement of heart rate variability (HRV), sleep, and physical activity, with existing wearable technology, suggests the potential of a remote monitoring paradigm in PMDD and other depressive disorders.

Using heart rate data from wrist worn activity trackers to define thresholds for moderate to vigorous physical activity in children and young people with cystic fibrosis

BackgroundChildren and young people with cystic fibrosis (CYPwCF) are encouraged to do an average of 60 min of moderate-to-vigorous physical activity (MVPA) daily. However, there are no agreed heart rate (HR) thresholds for defining MVPA, so it is difficult to ascertain whether these targets are actually achieved. Wearable activity trackers enable continuous monitoring of fitness-related measures such as HR and could be used to measure duration and intensity of habitual MVPA. We aimed to define personalized and responsive MVPA thresholds from HR in CYPwCF, to determine habitual time spent in MVPA during childhood and adolescence. MethodsContinuous daily HR data were collected from 142 CYPwCF wearing activity trackers over 16 months. Linear mixed-effects models were used to develop personalised estimates of resting heart rate (RHR), peak heart rate (PHR) and MVPA thresholds, which were defined using the American College of Sports Medicine heart rate reserve (HRR) method. Results309,926 days of physical activity data showed that both RHR and PHR declined with age in CYPwCF, with considerable variability within and between individuals. The HRR method produced personalised MVPA thresholds for each CYPwCF based on age, which inherently accounted for individual demographic variability and personal factors such as cardiovascular fitness or disease severity. ConclusionsBy accounting for within and between person variability in RHR and PHR, our novel method provides more accurate age-related personalised MVPA thresholds for CYPwCF than existing estimates. Our findings provide population-based estimates for RHR, PHR and MVPA thresholds at different ages in CYPwCF. This approach may help guide development of international standards for objective MVPA measurement in the era of remote HR and activity monitoring and facilitate accurate measurement of habitual physical activity in children and young people.

The wearable landscape: Issues pertaining to the validation of the measurement of 24-h physical activity, sedentary, and sleep behavior assessment

The wearable landscape: Issues pertaining to the validation of the measurement of 24-h physical activity, sedentary, and sleep behavior assessment

Use of commercially available wearable devices for physical rehabilitation in healthcare: a systematic review

ObjectivesTo evaluate whether commercially available ‘off-the-shelf’ wearable technology can improve patient rehabilitation outcomes, and to categorise all wearables currently being used to augment rehabilitation, including the disciplines and conditions under...

Relationship between physical activity and neighborhood environment in preschool children during COVID-19.—A cross-sectional study using 24-hour activity records-

Maintaining physical activity and the development of physical and cognitive functions are essential especially in vulnerable populations such as children. Considering the substantial impact of the COVID-19 epidemic on preschool children and the lack of research focusing on this age group, this study examined the duration of physical activity among preschool-aged children on weekend days and its relationship with the environment. This study was conducted between October and November 2021, with the cooperation of 357 parents of preschoolers attending kindergartens, nurseries, and childcare centers. Physical activity was assessed using a 24h physical activity record. A questionnaire was used to collect basic data on the neighborhood environment. Stepwise multiple regression analysis was used to analyze the relationship between the five physical activity measures (sedentary time, screen time, indoor playing time, outdoor playing time, and going out time) and the questionnaire data. Our findings revealed a relationship between physical activity and the neighborhood environment; however, the R2 values were low. Despite low prediction accuracy, the results of this study were similar to those of previous studies, indicating a positive correlation of physical activity with the absence of undulating roads, a crime-free environment, and safety around the home. Overall, these findings emphasize the need for providing children with opportunities for outdoor physical activity and play in the context of the COVID-19 recovery phase for adherence to the relevant guidelines.

The added value of device measured physical activity to the prediction of incident cardiovascular disease.

Abstract Background Conventional risk prediction models for Major Adverse Cardio/Cerebrovascular Events (MACCE) primarily rely on non-modifiable factors such as age, sex, and physiological measurements, including LDL/HDL cholesterol and blood pressure readings, that are prone to variations across medical practices and are often unavailable in many parts of the world. In this study, we investigate the potential of inexpensive wearable measurements of physical activity to enhance MACCE prediction when physiological measurements are unavailable. Purpose To assess the added value of physical activity measurements, collected via wrist-worn accelerometers, to established cardiovascular risk prediction models. Additionally, we seek to investigate whether physical activity measurements can substitute for common physiological measurements in established cardiovascular risk models. Methods We obtained accelerometer-measured physical activity over 7 days between 2013 and 2015 from 69,898 UK Biobank (UKB) participants without a prior history of MACCE, defined as death or hospitalisation due to (1) myocardial infarction, (2) heart failure, or (3) Stroke/transient ischaemic attack. We assessed the added value of daily step counts, sleep duration, and a deep learning-derived activity health score (Fig 1), calculated from complete 7-day accelerometer recordings, to established clinical risk models (SCORE2, QRISK3 and AHA) before and after excluding measurements of cholesterol and systolic blood pressure (SBP). The primary outcome was the first recorded MACCE within 6 years. Risk scores were developed in men and women using Cox proportional hazards models. We assessed predictive performance using Harrel’s C-index, net reclassification index (NRI), and net benefit at the recommended treatment threshold for each model. Results Of the 69,898 UKB participants in the study, 3,386 (4.8%) experienced a MACCE over a 6-year follow-up period. In place of HDL ratio and SBP, the addition of deep-learned activity health scores modestly improved performance in the best clinical baseline, QRISK3 for Female participants ΔC-index women:0.003 (95% CI 0.002-0.004); Δnet benefit 0.02(0.01-0.03); NRI 0.04, (0.02-0.07), and outperformed manually extracted steps and sleep measurements. We report no significant improvements for men. We find a greater increase in model performance when both HDL ratio and SBP, plus activity health scores, are included in the model. ΔC-index women:0.008, (0.007-0.009); men: 0.003 (0.002-0.004) (Fig 2). Conclusion Our findings indicate that in the absence of cholesterol and systolic blood pressure, the addition of device-measured physical activity modestly improves the performance of clinical risk scores among individuals without prior cardiovascular disease (CVD). These findings could further refine intervention strategies for targeted prevention of CVD, particularly in settings where physiological measurements may be unavailable.

Trajectories of physical activity among participants of six-month mobile app-based disease management program for cardiovascular risk: a group-based trajectory modelling approach

Abstract Background Mobile app-based health promotion is an emerging preventive intervention for cardiovascular disease that allows for the frequent and longitudinal monitoring of physical activity (PA). Previous studies exploring PA trajectories categorized participants in a limited number of follow-up assessments and did not consider dynamic nature with changes that occur over the intervention period. Purpose This study explored the trajectories of PA during mobile app-based disease management programs in adults with cardiovascular risk using group-based trajectory modelling (GBTM). Methods Participants who completed a six-month disease management program using a mobile app were enrolled. The program promoted behavioural changes for the management of cardiovascular risk factors in individuals with one or more of hypertension, diabetes, or dyslipidaemia. Daily step count was measured using a wrist-worn activity tracker (Fitbit devices). Each participant was encouraged to wear a tracker for the monitoring of exercise and physical activity. To analyse relatively physically inactive participants, we included those with baseline step count <8,000 steps/day. GBTM was conducted to identify distinct patterns of longitudinal step count changes of baseline, 3-22 weeks, and 24 weeks. Participants with PA measurements <4 time points were excluded. The baseline characteristics and indicators related to mobile app usage during the first two weeks were compared among the trajectory groups. Results A total of 1,760 participants were included in the analysis (age: median 55 years; 83.8% men; body mass index (BMI): median 27.0 kg/m²; baseline step count: median 6,118 steps/day). GBTM identified four step count trajectory groups: rapid increase (T1, rapid increase in the first three months; 5%), gradual increase (T2, gradual increase in the first three months; 24%), moderate activity (T3, maintained at around 7,000 steps/day; 45%), and physically inactive (T4, around 4,500 steps/day throughout the program; 26%) (Figure 1). The trajectory groups that showed increasing PA patterns were older (T1: median 57 years; T2: 55 years; T3: 55 years; T4: 54 years; p=0.040) with a lower baseline BMI (T1: median 26.6 kg/m²; T2: 26.4 kg/m²; T3: 27.0 kg/m²; T4: 27.7 kg/m²; p<0.001) and were predominantly men (T1: 89.5%; T2: 87.4%; T3: 82.8%; T4: 81.1%; p=0.028). PA increasing patterns were associated with a longer time of mobile app use (T1: median 8.5 min/day; T2: 5.5 min/day; T3: 5.5 min/day; T4: 4.9 min/day; p=0.012) and more login times (T1: median of daily average 3.9/day; T2: 3.0/day; T3: 3.1/day; T4: 2.9/day; p=0.003) during the first two weeks of the program. Conclusions GBTM showed that 30% of participants in the mobile app-based intervention showed significant PA improvement during the first 12 weeks. Results of this study suggest that the response to PA intervention may be associated with lifestyle prior to the program and willingness to use the mobile app.Figure 1.Step count trajectories

Cognitive behavioral therapy for symptomatic paroxysmal atrial fibrillation: effects on physical activity, sleep and heart rate variability

Abstract Background We have devised a novel psychological intervention, cognitive behavioral therapy for paroxysmal atrial fibrillation (AF-CBT), that targets symptom preoccupation and avoidance behaviour. AF-CBT significantly improved cardiac anxiety and quality of life (QoL) in a randomized trial. To what extent this may be attributed to changes in physiological parameters is yet to be determined. Purpose A) to assess changes in objective and subjective measures of physical activity and sleep. B) to evaluate potential treatment effects on heart rate variability (HRV). Methods Patients with paroxysmal AF on optimal medical therapy (65.4±8.3 years, 58% women) and European Heart Rhythm Association Symptom Score ≥2b were randomized to a 10-week therapist-led online AF-CBT (n=65) or a control group (n=62), with the primary outcome of Atrial Fibrillation Effect on Quality-of-life (AFEQT). A Patch-Holter with an integrated accelerometer was applied for five days at baseline, post-treatment, and at three months follow-up. Each recording was divided into day and night (sleep time) based on posture, heart rate, and activity. HRV was analysed in both time and frequency domains, excluding AF episodes and aberrant beats. Results AFEQT increased from 62.4±14.3 to 83.7± 13.8 points in the AF-CBT group at the 3-month follow-up with a relative difference of 15.0 points. At baseline, the participants walked 8040±2600 steps/day and slept 8.0 ± 1.1 hours. AF-CBT did not increase physical activity, and there were no significant changes in objective sleep duration. The Insomnia Severity Score went from subclinical (12.2±6.7) to near normal values (8.1±5.6), which was significant as compared to controls (p=0.032). AF burden increased from 5.3% to 7.3% in the AF-CBT group and 5.0% to 9.2% in the control group, with no difference between the groups (p=0.59). We did not observe any change in heart rate or HRV indices at rest during the day or at night. Conclusion AF-CBT did not mediate its effects on QoL by improving objective physiological variables. Thus, our findings underline the importance of subjective, psychological, and behavioural aspects and indicate that AF-CBT might fill a void beyond medical and lifestyle interventions in comprehensive AF care.

Objective and subjective physical activity assessment in obese patients with eating disorders

Abstract Background Discrepancies between objective and subjective measures of physical activity have been reported in healthy populations but remain unexplored in adults with obesity and psychosomatic disorders. Exercise is key for reducing these disorders, yet physiological and psychosomatic factors may complicate valid activity assessments in this population. Here, we compare self-reporting with actigraph data in a clinical setting. Methods Over two years, 27 obese patients (21 female, 6 male; 43±14 yrs; 41.3±5.7 kg·m−2) with eating disorders (EDE-Q) were recruited from an Austrian Psychosomatic Center. Total physical activity was assessed using the metabolic equivalent (MET min/w) and sitting time (min/d). Objective data were collected using the SenseWear® wristband (SWA) during weeks 3-4 of patients’ clinical stay. SWA was worn for ≥18 h/d on ≥ 4 days, including one weekend day. Patients self-administered the International Physical Activity Questionnaire (IPAQ-SF) in alignment with the ∼7 days of SWA wear. Concurrent validity - SWA as a criterion - was assessed using regression analyses, and proportional bias was examined with regression and equality line similarity analyses. Results Comparison showed an overestimation of total activity (+45%; p<.001) and underestimation of sitting time (-28%; p<.001) with IPAQ-SF vs SWA. Within-patient correlations were poor for MET (r=.92, p<.001) and impractical for sitting time (r=.27, p=.018), with a proportional bias for both outcomes (p≤.001). Converting objective to subjective measures yielded typical errors of 232 (total activity) and 90 min (sitting time). Conclusions The observed disparities emphasize the need to integrate sensor-based assessment of physical activity into clinical practice or tailored public health initiatives for adult obesity and psychosomatic disorders. However, further research is needed to evaluate the long-term impact of incorporating accurate SWA data on intervention efficacy in this vulnerable group. Key messages • There was strong evidence for meaningful differences in objective vs subjective physical activity assessments in obese patients with eating disorders. • Integrating objective measures into treatment seems crucial to improve exercise-guided interventions and address the global obesity and psychosomatic disorders pandemic.

Thirty-five years of personalized promotion. The contribution of medicine in the workplace

Abstract Issue/problem Occupational medicine has always had the task of identifying and solving problems caused by exposure to occupational risks and improving the health conditions of workers. This traditional prevention task can be advantageously associated with promotional activities to reduce the incidence of non-communicable diseases. Description of the problem Since the end of the 1980s we have conducted health promotion interventions in the workplace, integrated into the company’s occupational prevention plan. The results, discussed internationally, have allowed the improvement of projects such as the one presented here, aimed at the prevention of cardiovascular and metabolic risks. Results Workers carry out a clinical check integrated with blood chemistry tests, actigraphic measurement of physical activity and sleep, bioimpedance measurement and plicometry, to objectify the data of interest. Furthermore, they keep a food diary and answer questionnaires on lifestyle, stress, and sleep. They receive personalized non-pharmacological treatment aimed at making salutogenic changes to diet, sleep, physical activity, and relaxation methods. They are monitored monthly and carry out a follow-up after six months. The pilot study, conducted on 20 healthcare workers with previously undiagnosed metabolic problems, indicates a significant improvement in abdominal circumference, systolic blood pressure and sleep duration in the third month. Workers report a high level of satisfaction with the initiative, a lower level of occupational stress and a higher quality of sleep. Lessons Accumulated experience demonstrates that projects of this type are feasible, sustainable, and advantageous and can be applied to companies of all sizes, regardless of the quantity of resources available. Key messages • Health promotion in the workplace can contribute to the reduction of chronic non-communicable diseases. • The active participation of workers in health promotion activities contributes to improving job engagement and satisfaction derived from work.

Reliability of 24-h measurement of physical activity, sleep, and sedentary time in adult patients with asthma using a triaxial accelerometer

Objective Physical activity (PA), sleep, and sedentary time (SST) are important outcomes to monitor and to improve as part of patients’ asthma management. This study aimed to assess the number of measurement days needed to reliably measure PA and SST. Secondly, the influence of external factors on the reliability of measuring PA and SST was studied. Methods Adult patients with stable asthma were asked to wear a triaxial accelerometer for at least four days, with at least 22.5 h of wear time per day. The Intraclass Correlation Coefficients (ICCs) between different number of measurement days were used to determine reliability. Values ≥0.75 indicated good reliability. Results: Data from 452 patients were analyzed (63% women; age: 49 ± 16 years; FEV1: 87 ± 17% predicted). PA could reliably be measured with four valid measurement days (ICC 0.761). For SST, three days were needed (ICC 0.778). In summer and autumn, three days were needed to reliably measure PA, in winter four, in spring six. For SST, five days were needed in spring for good reliability, and two in all other seasons. Conclusion: Based on data from four valid days, PA and SST can reliably be measured with an accelerometer in patients with asthma. Seasonal influences are present, especially during spring. When measuring for four days, using only weekdays or three weekdays and one weekend day is recommended. The degree of asthma control, dyspnea or spirometric values did not influence the reliability.

Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population-Based Studies: Report of a National Heart, Lung, and Blood Institute Workshop.

The National Heart, Lung, and Blood Institute convened a virtual workshop in September 2022 to discuss "Optimal Instruments for Measurement of Diet, Physical Activity, and Sleep." This report summarizes the proceedings, identifying current research gaps and future directions for measuring different lifestyle behaviors in adult population-based studies. Key discussions centered on integrating report-based methods, like questionnaires, with device-based assessments, including wearables and physiological measures such as biomarkers and omics to enhance self-reported metrics and better understand the underlying biologic mechanisms of chronic diseases. Emphasis was placed on the need for data harmonization, including the adoption of standard terminology, reproducible metrics, and accessible raw data, to enhance the analysis through artificial intelligence and machine learning techniques. The workshop highlighted the importance of standardizing procedures for integrated behavioral phenotypes using time-series data. These efforts aim to refine data accuracy and comparability across studies and populations, thereby advancing our understanding of lifestyle behaviors and their impact on chronic disease outcomes over the life course.

Self-compassion improves barrier self-efficacy and subsequently physical activity: A test of longitudinal mediation using a representative sample of the United Kingdom.

Self-compassion, which directs the awareness of suffering, sympathetic concerns and caring motives towards oneself, is an important psychological quality and resource for health and well-being. In the context of physical activity, self-compassion can help individuals overcome obstacles, recuperate from a setback or a lapse and engage in regular physical activity. The present research was the first to examine the longitudinal effects of self-compassion on physical activity and the mediation role of barrier self-efficacy of such effects. We recruited a national representative sample of 654 UK adults and followed them over three timepoints across 9 months. At each time point, participants completed an online survey assessing levels of state self-compassion, barrier self-efficacy and physical activity behaviours. We examined the longitudinal effects of self-compassion on physical activity and the mediation role of barrier self-efficacy. Baseline state self-compassion consistently correlated with physical activity levels at Times 2 and 3. Barrier self-efficacy at Time 2 mediated the longitudinal effect of baseline state self-compassion on Time 3 physical activity, after controlling for within- (e.g., Time 1 on Time 2 self-compassion) and between-person variations (e.g., covariance of self-compassion and physical activity within a timepoint). Adopting a self-compassionate mind facilitates engagement and maintenance of physical activity. Future studies could consider accelerometer-based physical activity measures and develop and validate a more context-specific state self-compassion measure tailored for physical activity contexts. Researchers and practitioners should consider incorporating self-compassion to future interventions and education programmes for promoting physical activity.

Physical Activity Behaviour and Motivation During and Following Pulmonary and Cardiac Rehabilitation: A Repeated Measures Study.

Exercise rehabilitation programmes are important for long-term health and wellbeing among people with cardiac and pulmonary diseases. Despite this, many people struggle to maintain their physical activity once rehabilitation ends. This repeated measures study tracked changes in physical activity behaviour and motivation during and after completing a community-based exercise rehabilitation programme. Cardiac and pulmonary exercise rehabilitation patients (N = 31) completed six once-monthly measures of physical activity (MET·min), self-determined motivation, intention, and habit strength for rehabilitation exercise (within rehabilitation sessions) and lifestyle physical activity (outside of rehabilitation sessions). Linear regression and random effects models with estimated marginal means were used to test for associations between physical activity motivation and behaviour and change during and post-rehabilitation. Overall physical activity decreased after rehabilitation (823 MET·min) despite patients becoming more self-determined for lifestyle physical activity during rehabilitation. More self-determined motivation, stronger intentions, and stronger habits were associated with more lifestyle physical activity behaviour. However, none of these motivation variables were significantly associated with rehabilitation exercise behaviour. Among community-based cardiac and pulmonary rehabilitation patients, physical activity levels decreased following exercise rehabilitation programmes. The findings revealed clear distinctions in the motivation of rehabilitation exercise compared to lifestyle physical activity. Exercise rehabilitation programmes might improve the longevity of outcomes by integrating approaches to enhance lifestyle physical activity beyond the clinic.