Time Physical Activity Research Articles

Associations between physical activity and ankle-brachial index: the Swedish CArdioPulmonary bioImage Study (SCAPIS)

BackgroundThe ankle–brachial index (ABI) is the ratio of the ankle and brachial systolic blood pressures. In the clinical setting, low ABI (< 0.9) is an indicator of peripheral atherosclerosis, while high ABI (> 1.4) is a sign of arterial stiffness and calcification. The purpose of the current study was to investigate the association between ABI and physical activity levels, measured by accelerometer.MethodsThe Swedish CArdioPulmonary bioImage Study (SCAPIS) is a Swedish nationwide population-based cross-sectional cohort for the study of cardiovascular and pulmonary diseases, in which individuals aged 50–64 years were randomly invited from the general population. The study population with data on ABI, physical activity, and sedentary time based on accelerometry was 27,737. Differences between ABI categories and associations to sedentary behavior, moderate to vigorous physical activity (MVPA), and other metabolic characteristics were compared. ABI was categorized as low, ABI ≤ 0.9, borderline, ABI 0.91–0.99, normal, ABI 1.0-1.39, and high, ABI ≥ 1.4.ResultsPrevalence of low ABI was higher in the most sedentary quartiles compared to the least sedentary (0.6% vs. 0.1%, p < 0.001). The most sedentary individuals also exhibited higher BMI, higher prevalence of diabetes and hypertension. The proportion of wake time spent in MVPA was lowest in those with low ABI (0.033 ± 0.004; p < 0.001) and highest in those with ABI > 1.4 (0.069 ± 0.001; p < 0.001) compared to those with normal ABI. Compared to normal ABI, the proportion of sedentary time was highest in those with low ABI (0.597 ± 0.012; p < 0.001) and lowest in those with ABI > 1.4 (0.534 ± 0.002; p = 0.004).ConclusionThis population-based study shows that middle-aged individuals with ABI > 1.4 have the highest level of physical activity, while individuals with a lower ABI, especially those with ABI < 0.9, are less active and spend more time sedentary. Future studies are needed to understand the relationships between ABI, physical activity, and the risk of peripheral arterial and cardiovascular disease in the general population.

Association between physical activity & sedentary time on frailty in adults with chronic kidney disease: Cross-sectional NHANES study

ObjectiveA considerable percentage of individuals with chronic kidney disease (CKD) are reported to be frail. Lower physical activity and higher sedentary time are most consistently associated with frailty among the potentially alterable risk factors. Although the single effect of physical activity or sedentary time on suppressing frailty have been widely studied, whether physical activity can mitigate or counteract the detrimental consequences of higher sedentary time on frailty among CKD population has never been explored. This study aims to explore whether and to what extent the correlation between sedentary time and frailty was diminished by physical activity among CKD population. Study design and settingData were acquired from the National Health and Nutrition Examination Survey (NHANES) 2007 to 2018 cycles. Frailty index was assessed using 49-item deficit model. Physical activity and sedentary time were measured using the Global Activity Questionnaire. Weighted binary logistic regression models, restricted cubic spline models and sensitivity analyses were performed to investigate the aforementioned relationship. ResultsThe final sample included 2551 adults aged ≥20 years with CKD, which is represented a weighted number of 4.98 million noninstitutionalized US population. In the fully adjusted model, the group with low physical activity was 1.56 (95 % CI:1.19, 2.03) times more likely to develop frailty than the group with high physical activity and each unit of increase of sedentary time was associated with an 41 % increased risk of frailty (OR = 1.41, 95 % CI = 1.04–1.89). Our findings also indicated that engaging in 1240–6200 MET-min/week of high physical activity was associated with a decreased risk of frailty related to moderate-to-high sedentary time among CKD population (OR = 0.69, 95 % CI = 0.49–0.99, P = 0.044). In subgroup analyses, high physical activity was associated with a 0.43-fold (95%CI: 0.24, 0.77) decreased risk of moderate-to-high sedentary time associated with frailty in female groups and a significant modification effect of gender was uncovered (Pinteraction = 0.024). ConclusionHigh physical activity was associated with a decreased risk of frailty related to moderate-to-high sedentary time in adults with CKD, especially in females subgroups.

Improving physical activity and screen time in Australian Outside School Hours Care: Study protocol.

Children's physical activity and screen time behaviours impact their physical health and well-being. In Australia, less than half of children meet daily physical activity recommendations and only one-third meet daily screen time recommendations. Nearly half a million Australian school children aged 5-12 attend Outside School Hours Care (OSHC) weekly, activities undertaken at OSHC play a key role in meeting these recommendations. Currently, physical activity and screen time practices in OSHC vary and lack policy guidance. The Activated OSHC program is a policy-based intervention that supports OSHC services to implement the physical activity and screen time guidelines. 192 OSHC services across Australia will be recruited. 96 services will be randomly allocated to receive the Activated OSHC program. OSHC coordinators will complete online surveys examining physical activity and screen time scheduling, cost, acceptability, and feasibility. Primary outcome; changes in the proportion of intervention and control services meeting OSHC sector physical activity and screen time guidelines, and secondary outcomes; changes in children's physical activity and screen time behaviours; changes in staff behaviour will be assessed using mixed-effects regression models. The aim of this study is to examine the impact of the Activated OSHC program on children's physical activity and screen time. Recent Australian research in Outside School Hours Care (OSHC) has identified significant inconsistency in practices related to physical activity and screen time, compounded by an absence of explicit policy guidance. The Activated OSHC program is a policy-based intervention that supports OSHC services to implement the Australian OSHC physical activity and screen time guidelines. This study will assess the implementation and effectiveness of the Activated OSHC program in an effectiveness-implementation hybrid type 2 trial design. Implementation of outside school hours care sector physical activity and screen time guidelines may improve children's physical activity and screen time behaviours.

Exploring factors associated with postoperative physical activity and sedentary behavior in newly diagnosed lung cancer patients: a cross-sectional study.

To comprehensively analyze the factors associated with different intensities of physical activity and sedentary behavior in newly diagnosed lung cancer patients in the early postoperative period, providing a basis for clinically tailored personalized intervention measures. A cross-sectional study design was employed, and 915 patients newly diagnosed with lung cancer completed a questionnaire survey on demographics, disease, health-related fitness, and psychosocial factors. Physical activity levels and sedentary behaviors were assessed using the International Physical Activity Questionnaire. Data were analyzed using SPSS 25.0. The physical activity level of walking amounted to 1265.4 ± 1025.8 MET-min/week, potentially influenced by factors such as region, depression, health behavior capacity, and lactate dehydrogenase. The moderate-intensity physical activity level stood at 529.8 ± 976.5 MET-min/week, subject to influences like regional lymph node staging, body mass index, and albumin levels, among other factors. The high-intensity physical activity level was 111.1 ± 731.0 MET-min/week, potentially affected by region, grip strength, health behavior capacity, and other factors. Sedentary time averaged 5 ± 3h/day, potentially influenced by work conditions, red blood cell values, and other factors. In patients newly diagnosed with lung cancer, early postoperative walking activities predominate, with less engagement in high-intensity physical activity and prolonged sedentary time. Physical activity and sedentary behavior may be influenced by various factors such as geography, physiology, psychology, and health-related fitness. To enhance the quality of life of patients with lung cancer in the early postoperative period, tailored intervention measures should be devised based on the circumstances of the individual patients.

Nutrition and physical activity practices in family day care: A cross-sectional survey of Australian family day care educators.

Munch & Move is a New South Wales (NSW) Ministry of Health program offering family day care (FDC) educators training to support children's healthy behaviours. This study examined educators' nutrition, physical activity and screen time practices and relationships between Munch & Move training and professional development (PD) on these practices. NSW FDC educators (n = 186) completed an online survey from July 2020-June 2021. Differences between groups based on Munch & Move training (trained; not trained) and PD (those who completed PD ≥1 time per year; those who completed PD <1 time per year or never) were tested using bivariate analyses. A significantly higher proportion of educators trained in Munch & Move offered information to families regarding food serving sizes, nutrition policies, and children's physical activity and screen time. Over one-third in both groups did not meet the guideline of no screen time for children under 2 years old. Compared with those who completed PD ≥1 time per year, a significantly higher proportion of educators who completed PD <1 time per year or never did not provide families with nutrition guidelines or resources. Educators trained in Munch & Move, and those who completed PD more frequently, demonstrated better nutrition, physical activity and screen time practices in several areas. SO WHAT?: This study demonstrated benefits of the Munch & Move program, implemented with support from Local Health District health promotion officers, and highlighted key areas for improvement in healthy practices in FDC.

Concurrent validity between self-reported International Physical Activity Questionnaire Short Form and Fibion accelerometer data among young adults in the UAE

Self-reported physical activity questionnaires (e.g., International Physical Activity Questionnaire, IPAQ) are a cost-effective, time-saving, and accessible method to assess sedentary behaviour and physical activity. There are conflicting findings regarding the validity of self-reported questionnaires in comparison to accelerometer-measured data in a free-living environment. This study aimed to investigate the concurrent validity between self-reported Arabic–English IPAQ short form (IPAQ-SF) and Fibion (Fibion Inc., Jyväskylä, Finland) accelerometer-measured sedentary and physical activity time among young adults. One hundred and one young healthy adults (mean age 20.8 ± 2.4 years) filled in the IPAQ short form (IPAQ-SF) and wore the Fibion device on the anterior thigh for ≥ 600 min per day for 4–7 days. Concurrent validity between the IPAQ-SF and Fibion accelerometer for sitting, walking, moderate activity, and vigorous activity time was assessed using the Spearman correlation coefficient (ρ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho$$\\end{document}) and Bland–Altman plots. Significant weak associations between IPAQ-SF and Fibion measurements were found for total activity time (ρ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho$$\\end{document} = 0.4; P < 0.001) and for the duration of walking (ρ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho$$\\end{document} = 0.3; P = 0.01), moderate (ρ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho$$\\end{document} = 0.2; P = 0.02), and vigorous-intensity activities (ρ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho$$\\end{document} = 0.4; P < 0.001). However, ρ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho$$\\end{document} was not significant (ρ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\rho$$\\end{document} = − 0.2; P = 0.09) for sitting time. In addition, all the plots of the measured variables showed a proportional bias. A low association and agreement were found between self-reported IPAQ-SF scores and Fibion accelerometer measurements among young adults in the UAE. Adult sedentary and physical activity measurements should be obtained objectively with accelerometers rather than being limited to self-reported measures.

Hispanic and non-Hispanic parents’ health behaviour predicts preschool children’s behaviour in low-income communities in the United States

Objective: Despite public health efforts, most children in the United States do not meet nutrition and physical activity guidelines. Moreover, there are nutrition-related health disparities between non-Hispanic and Hispanic communities. Caregivers are critical role models that shape health behaviours in children. To promote healthy behaviours, health promotion interventions must consider the entire family unit. This study aimed to assess the impact of parent’s health behaviours on children’s health behaviours in a sample of non-Hispanic and Hispanic low-income parents. Design: A mixed-methods design was used to identify how parent health behaviours including fruit and vegetable intake, beverage intake, physical activity, and screen time influence corresponding child health behaviours. In addition, the study aimed to investigate whether the strength of association between parent and child health behaviours varied as a function of ethnicity. Survey data and semi-structured qualitative interviews were utilised for the analyses. Setting: The study was a part of the Culture of Wellness in Preschools Programme, a multi-level obesity prevention programme. The data were obtained from the parent wellness workshops, a direct education intervention aimed at increasing fruit and vegetable consumption and physical activity among parents and their children. Data Analysis: The quantitative analyses utilised survey data from the Family Wellness pre-survey. Hierarchical linear regression models assessed the relationship between parent–child-health behaviours. Interaction terms were created to understand if this relationship varied as a function of ethnicity. Data from qualitative interviews were analysed using thematic analysis to gain an in-depth understanding of the relationship between parent and child health behaviours. Results: Parent health behaviours significantly predicted child health behaviours across all models, and these relationships did not vary as a function of ethnicity. The quantitative data were supported by the qualitative analysis: parents modelled health behaviours and thus influenced their child’s health behaviour through a variety of mechanisms. Conclusion: Future efforts to promote a healthy lifestyle in children should engage with both family practices and the wider social context.

Sleep duration in middle-aged years of life predicts the age of diagnosis of Parkinson's disease

IntroductionChronic short sleep duration (i.e., <7 h sleep daily) could reduce the brain's ability to attenuate toxin and protein accumulation, which may contribute to Parkinson's disease (PD). The purpose of this study was to characterize the relationship between self-reported sleep duration from adolescence to adulthood and the age of diagnosis in people with PD. A secondary purpose was to characterize the interaction between sleep duration and physical activity through the lifespan on the age of PD diagnosis. MethodsA secondary data analysis was performed using the Fox Insight data set. Multiple regression analysis was used to determine the age range that sleep duration best predicted the age of diagnosis of PD. Hierarchical linear multiple regression was performed to assess if self-reported sleep duration, physical activity, and their interaction predicted the age of diagnosis for PD, after accounting for sociodemographic factors. ResultsBoth sleep (p < 0.001) and physical activity time (p = 0.013) significantly predicted the of age of onset of PD. In contrast, there was no evidence to support an interaction of sleep by physical activity on the age of diagnosis of PD. Sleep duration at 46–55 years maintained significance after controlling for education, income, race, ethnicity, and sex (p < 0.001). Weekly duration of time spent performing moderate-intensity physical activity was added as an input variable. ConclusionSleep duration significantly predicts the age of diagnosis of PD, with shorter sleep duration associated with a younger age of diagnosis of PD.

Associations between fatigue impact and physical and neurobehavioural factors: An exploration in people with progressive multiple sclerosis

BackgroundFatigue is common in people with multiple sclerosis (MS). Understanding the relationship between fatigue, physical and neurobehavioural factors is important to inform future research and practice. Few studies explore this explicitly in people with progressive MS (pwPMS). ObjectiveTo explore relationships between self-reported fatigue, physical and neurobehavioural measures in a large, international progressive MS sample of cognitively impaired people recruited to the CogEx trial. MethodsBaseline assessments of fatigue (Modified Fatigue Impact Scale; MFIS), aerobic capacity (VO2peak), time in moderate-vigorous physical activity (MVPA; accelerometery over seven-days), walking performance (6-minute walk test; 6MWT), self-reported walking difficulty (MS Walking Scale; MSWS-12), anxiety and depression (Hospital Anxiety and Depression Scale; HADS and Beck Depression Inventory-II; BDI-II), and disease impact (MS Impact Scale-29, MSIS-29) were assessed. Participants were categorised as fatigued (MFISTotal >=38) or non-fatigued (MFISTotal ≤38). Statistical AnalysisDifferences in individuals categorised as fatigued or non-fatigued were assessed (t-tests, chi square). Pearson's correlation and partial correlations (adjusted for EDSS score, country, sex, and depressive symptoms) determined associations with MFISTotal, MFISPhysical, MFISCognitive and MFISPsychosocial, and the other measures. Multivariable logistic regression evaluated the independent association of fatigue (categorised MFISTotal) with physical and neurobehavioural measures. ResultsThe sample comprised 308 pwPMS (62 % female, 27 % primary progressive, 73 % secondary progressive), mean age 52.5 ± 7.2 yrs, median EDSS score 6.0 (4.5–6.5), mean MFISTotal 44.1 ± 17.1, with 67.2 % categorised as fatigued. Fatigued participants walked shorter distances (6MWT, p = 0.043), had worse MSWS-12 scores (p < 0.001), and lower average % in MVPA (p = 0.026). The magnitude of associations was mostly weak between MFISTotal and physical measures (r = 0.13 to 0.18), apart from the MSWS-12 where it was strong (r = 0.51). The magnitude of correlations were strong between the MFISTotal and neurobehavioural measures of anxiety (r = 0.56), depression (r = 0.59), and measures of disease impact (MSIS-physical r = 0.67; MSIS-mental r = 0.71). This pattern was broadly similar for the MSIF subscales. The multivariable model indicated a five-point increase in MSWS-12 was associated with a 14 % increase in the odds of being fatigued (OR [95 %CI]: 1.14 [1.07–1.22], p < 0.0001) ConclusionManagement of fatigue should consider both physical and neurobehavioural factors, in cognitively impaired persons with progressive MS.

Older adults exercising ON TIME: protocol for a randomized controlled cross-over study to assess the effect of physical activity timing on insomnia severity

BackgroundThere are increased indications that physical activity timing, irrespective of intensity, impacts insomnia and circadian clock function. Here, we describe the rationale and design of a randomized cross-over study, called ON TIME, to examine the effects of (changing) physical activity timing on insomnia severity and on multiple exploratory outcomes that are linked to circadian clock function.MethodsWe will conduct a randomized cross-over trial in 40 healthy older adults (aged 65 to 75 years) with subclinical or clinical insomnia (Insomnia Severity Index (ISI) scores of ≥ 10) from the Dutch municipality of Leiden and surroundings. Participants will undergo 3 intervention periods (14 days each) consecutively: one sedentary period and two periods of increased physical activity (one period with morning activity and one period with evening activity). The intervention periods are separated by a wash-out period of 1 week. In both active intervention arms, participants will follow coached or uncoached outdoor physical exercise sessions comprising endurance, strength, and flexibility exercises for 14 days. The primary outcome is change in insomnia severity as measured by the ISI. Additional exploratory outcomes include multiple components of objective sleep quality measured with tri-axial accelerometry and subjective sleep quality assessed by questionnaires as well as dim light melatonin onset and 24-h rhythms in heart rate, heart rate variability, breathing rate, oxygen saturation, mood, and objective emotional arousal and stress. Additionally, we will collect diary data on eating patterns (timing and composition). Finally, fasting blood samples will be collected at baseline and after each intervention period for measurements of biomarkers of metabolic and physiological functioning and expression of genes involved in regulation of the biological clock.DiscussionWe anticipate that this study will make a significant contribution to the limited knowledge on the effect of physical activity timing. Optimizing physical activity timing has the potential to augment the health benefits of increased physical exercise in the aging population.Trial registrationTrial was approved by the Medical Ethics Committee Leiden, The Hague, Delft, The Netherlands (June, 2023). The trial was registered in the CCMO-register https://www.toetsingonline.nl/to/ccmo_search.nsf/Searchform?OpenForm under study ID NL82335.058.22 and named (“Ouderen op tijd in beweging” or in English “Older adults exercising on time”). At time of manuscript submission, the trial was additionally registered at ClinicalTrials.gov under study ID: NL82335.058.22 and is awaiting approval.

Adherence to physical activity and screen time recommendations of youth: Demographic differences from National Health and Nutrition Examination Survey 2017-2018.

Engaging in physical activity (PA) and reducing sedentary behaviors among youth are linked to improved mental and physical health. This study aimed to examine demographic differences among youth adhering to PA and Screen Time (ST) recommendations. The present study utilized data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES). The NHANES survey employed a cross-sectional design and gathered information on the daily duration of moderate-to-vigorous PA lasting 60min or more, as well as the maximum daily ST not exceeding 2h. The analysis encompassed a total of 1697 youth aged between 6 and 17years. Overall, 36.3% of participants adhered to PA recommendations, 20.9% adhered to ST recommendations and 10.8% of youth met both recommendations. The odds of meeting PA, ST and both recommendations were inversely associated with obesity (obese vs. normal: aOR, 0.56 [95% CI, 0.42-0.75]), (aOR, 0.67 [95% CI, 0.48-0.94]) and (aOR, 0.51 [95% CI, 0.32-0.82]) respectively, and age (14-17years vs. 6-9years: aOR, 0.2 [95% CI, 0.15-0.27]), (aOR, 0.33 [95% CI, 0.23-0.47]) and (aOR, 0.16 [95% CI, 0.09-0.3]) respectively. A small portion of the youth met PA and ST recommendations. Older youth, youth with obesity, and youth with a parent or guardian who had not completed a high school education were particularly at risk.

Improvements in stress among Latinas participating in a randomized controlled trial of technology-supported physical activity interventions.

High levels of stress and inactivity likely contribute to chronic disease disparities among Latinas in the U.S. and call for intervention. To inform such efforts, the current study examined the relationships among changes (over time) in physical activity, stress, and related cardiometabolic biomarkers among sedentary (mostly) first generation Latinas. Data are taken from a randomized controlled trial (N=199 Latinas) of two home-based physical activity interventions (Original vs. theory- and technology- Enhanced versions). Physical activity and perceived stress were assessed at baseline and 6 and 12months. Blood draws occurred at baseline and 6months in a random subsample (N=153). The participants were underactive (<60/min week of moderate-to-vigorous physical activity) Mexican American (89%) women with moderate perceived stress scores (M=21.49, SD=8.55, range=0-40) and excess weight (M BMI=30.6) at baseline. Overall, participants reported decreases in stress after 6months enroled in the physical activity programs. The odds of a reduction in perceived stress were 11% higher among Enhanced versus Original Intervention participants (OR=1.11, 95% CI: 1.05-2.27). Those who met physical activity guidelines were significantly more likely to report reductions in perceived stress over 6months (OR=1.92, 95% CI: 1.08-4.16). Furthermore, those who reported reductions in perceived stress over 6months reported significantly more moderate-to-vigorous physical activity at 12months (+69min/week, SE=27.98, p=0.01) compared to those who did not. Greater reductions in perceived stress over 6months were associated with greater improvements in cardiometabolic biomarkers (HbA1c, triglycerides, p's<0.05). These results support a bidirectional relationship between improvements in stress and physical activity among Latinas. Future implications include using physical activity to address stress management and health disparities in this community.

Changes in Accelerometer-Measured Physical Activity and Sedentary Time Across Retirement Transition as a Predictor of Self-Rated Health.

Retirement transition has been shown to associate with changes in physical activity (PA) and self-rated health (SRH), but their interrelationship is less studied. The aim was to investigate changes in accelerometer-measured total PA, moderate to vigorous PA (MVPA), and sedentary time across retirement transition as a predictor of SRH. Data from the Swedish Retirement Study and the Finnish Retirement and Aging study were harmonized and pooled. Data from 3 waves (about 12mo apart) were included: 1 preretirement (wave 1) and 2 postretirement follow-ups (wave 2-3). A totally of 245 participants (27% men) were included. Thigh-worn accelerometers were used to collect data for PA variables (wave 1-2), and SRH was obtained from the questionnaire (wave 1-3). Between wave 1 and 2, total PA decreased with 11 (CI, -22 to -1)minutes per day, MVPA was stable (0 [CI, -3 to 3]min), and sedentary time decreased nonsignificantly with 9 (CI, -20 to 1)minutes. SRH changed between all 3 waves (all P < .001). At preretirement, 10 more minutes of MVPA was associated with greater odds of better SRH when adjusting for accelerometer wear-time, cohort, sex, age, and occupational status (odds ratio: 1.11 [95% CI, 1.02-1.22]). This association was no longer statistically significant when additionally adjusting for marital status, body mass index, and smoking. No significant associations were observed between changes in the PA variables during retirement transition and SRH at postretirement follow-ups. This study showed a cross-sectional association between MVPA and greater odds of reporting better SRH before retirement. No longitudinal associations were observed between changes in the PA variables from before to after retirement and later changes in SRH.

Associations of weather and air pollution with objective physical activity and sedentary time before and after bariatric surgery: a secondary analysis of a prospective cohort study

Purpose. Identifying factors that influence moderate-to-vigorous intensity physical activity (MVPA) and sedentary time in metabolic and bariatric surgery (MBS) patients is necessary to inform the development of interventions. Weather/environmental factors may be especially important considering rapid climate change and the vulnerability of people with obesity to heat and pollution. Our study aimed to examine the associations of weather (maximal, average and Wet Bulb Globe Temperatures), and air pollution indices (air quality index [AQI]) with daily physical activity (PA) of both light (LPA) and MVPA and sedentary time before and after MBS. Materials and methods. Participants (n = 77) wore an accelerometer at pre- and 3, 6, and 12-months post-MBS to assess LPA/MVPA/ sedentary time (min/d). These data were combined with participants’ local (Boston, MA or Providence, RI, USA) daily weather and AQI data (extracted from federal weather and environmental websites). Results. Multilevel generalized additive models showed inverted U-shaped associations between weather indices and MVPA, with a marked reduction in MVPA for daily maximal temperatures ≥20 °C. Sensitivity analysis showed a less marked decrease of MVPA (min/d) during higher temperatures after versus before MBS. Both MVPA before and after MBS and sedentary time before MBS were negatively impacted by higher AQI levels. Conclusion. This study is the first to show that weather and air pollution indices, even in locations with good AQI and moderate temperatures, are related to variability in activity behaviors, particularly MVPA, during pre- and post-MBS. Weather/environmental conditions should be considered in MVPA prescription/strategies for adults who have undergone MBS.

The effects of physical activity on adolescents' depression: evidence from China.

Depression is becoming a common threat to the mental health of Chinese adolescents. As an intermediate stage between being healthy and having depression, identifying factors influencing depressive may contribute to providing more options for the prevention and treatment of depression. The study aims to explore the effects of physical activity on adolescent depression, focusing on the times and hours of activity per week. The study used a cross-sectional dataset collected in Ruyang County, Henan Province in September 2022, including a sample of 5,629 adolescents in 31 compulsory public schools in the county. We utilized Ordinary Least Squares (OLS) to analyze the impact of physical activity on adolescents' depression scores, and probit model to analyze the influence of physical activity on adolescents' depression. To examine whether there is a U-shaped relationship between physical activity and depression, we included the squared terms of times and hours of activity in models. The results showed that: (1) The times of physical activity significantly reduces Chinese adolescent depression. An increase in physical activity by one time per week is associated with a mean decrease of 0.354 points in depression scores (p < 0.01). However, an increase of one time of physical activity per week is associated with an average 1% increase in the likelihood of experiencing depression(p < 0.05), while the hours of physical activity was statistically insignificant. (2) Physical activity has a U-shaped (not linear) relationship with adolescent depression, with 7-8 times per week or 7-9 h of physical activity per week being the optimal range. The study found that increasing the frequency of physical activity positively impacts adolescent depression, while increasing the hours does not show a significant association. Furthermore, a U-shaped relationship exists between times of activity, hours of activity, and adolescent depression, suggesting that moderate activity is optimal.

Measuring 24-h use of time in people with a diabetes-related foot ulcer: A feasibility study.

Physical activity (PA), sleep and sedentary time are now recognised as mutually exclusive and exhaustive parts of the 24-h day-if PA decreases, time spent sleeping, being sedentary or both must increase so that all components equate to 24h. Recent advances in time-use epidemiology suggest that we should not consider time-use domains (PA, sleep and sedentary time) in isolation from each other, but in terms of a composition-the mix of time-use domains across the 24-h day. While interrelated daily activities are known to be important in the management of diabetes mellitus, few studies have investigated the interrelated daily activities in people with an active diabetes-related foot ulcer (DFU) and their impact on important outcomes such as wound severity, blood glucose control and health-related quality of life (HRQoL). This feasibility study aims to determine the acceptability and practicality of measuring 24-h use of time data in people with a DFU and its associations on important outcome measures for this population. Participants wore a wrist-worn accelerometer for twoweeks and completed demographic and HRQoL questionnaires. Outcomes were participant engagement, reported levels of study burden and value and compositional data analysis as a methodological approach for evaluating 24-h use of time data. Twenty-six participants reported low levels of study burden and rated the study value highly. The protocol appears feasible in terms of recruitment (81%) and retention rate (86%). On average, participants were relatively sedentary spending 747, 172 and 18min in sedentary time, light physical activity and moderate-to-vigorous activity, respectively. Sleep appeared adequate with participants obtaining an average of 485min, but quality of sleep was notably poor with average sleep efficiency of 75%. Compositional data analysis was able to quantify the integrated associations of 24-h use of time with HRQoL. The protocol provides an acceptable method to collect 24-h use of time data in people with a DFU. Efforts to consider and analyse PA as part of a 24-h activity composition may provide holistic and realistic understandings of PA in this clinical population.

First iteration of a User-Centered Design process to develop an in-bed leg press.

Physical inactivity is prevalent among hospitalized patients and the daytime spent lying should be utilised for exercise. However, implementing new interventions in hospitals' complex daily routines is difficult and requires a participatory approach. Exploring clinical settings and clinicians' perspectives regarding exercise in hospitalized patients to gauge the potential of further development of an in-bed training device and to formulate development goals. A User-Centered Design approach was employed, consisting of work shadowing and focus groups with physiotherapists and nurses. Content and network analyses of the focus group data were performed. Personas were then developed and used to create clinical scenarios. Some clinicians perceived in-bed exercise counterproductive, while others recognized potential for unsupervised training. The most important design characteristics appeared to be a small size, low weight and simplicity of use to facilitate storage, transportation, and administration, respectively. The scenarios revealed that the device's use could increase the physical activity time by 1.4%, although it would also increase the working time of clinicians. The study highlighted the difficulties in developing a usable training device but encouraged the authors to pursue their efforts under the strict condition of following the formulated development goals.

The efficacy of the TEACH e-Learning course at improving early childhood educators’ physical activity and sedentary behaviour self-efficacy, knowledge, intentions, and perceived behavioural control: a randomized controlled trial

BackgroundEarly childhood educators play a critical role in promoting physical activity and reducing sedentary time in childcare centres. However, early childhood educators receive limited specialised pre- and in-service learning opportunities relating to these behaviours and may lack the capacity to effectively engage children in healthy movement behaviours. This study aimed to examine the efficacy of an e-Learning course on increasing early childhood educators’ physical activity and sedentary behaviour-related capacities.MethodsA two-group parallel randomized controlled trial was conducted with early childhood educators in Canada (Mage = 41.78, 97% female). Participants randomized to the intervention group were asked to complete a physical activity and sedentary behaviour e-Learning course within a 4-week period. Participants randomized to the waitlist control condition were assigned to a waitlist to receive the intervention after the testing period. Participants reported on their self-efficacy, knowledge, intentions, and perceived behavioural control relating to physical activity and sedentary behaviours at baseline, post-intervention, and 3 months follow-up. Linear mixed effects models were estimated to determine difference in changes in outcomes from baseline to post-intervention, and follow-up.ResultsA total of 209 early childhood educators participated in the study (intervention n = 98; control n = 111). The TEACH e-Learning course was found to be efficacious at improving all of the examined outcomes, with standardized effect sizes ranging from d = 0.58 to d = 0.65 for self-efficacy outcomes, d = 0.66 to d = 1.20 for knowledge outcomes, d = 0.50 to d = 0.65 for intention outcomes, and d = 0.33 to d = 0.69 for perceived behavioural control outcomes post-intervention. The intervention effects were sustained at follow-up for all outcomes apart from perceived behavioural control to limit screen time. Additionally, the magnitude of the effect for knowledge outcomes decreased at follow-up, with standardized effect sizes ranging from d = 0.49 to d = 0.67.ConclusionsThe e-Learning course was highly successful at improving early childhood educators’ capacity pertaining to physical activity and sedentary behaviours. Providing training content through e-Learning may be an efficacious approach to providing continual professional learning opportunities relating to physical activity and sedentary time to early childhood educators on a large scale.

Leisure Time Habits and Levels of Physical Activity in Children and Adolescents.

Childhood and adolescence are important stages of life for acquiring healthy habits. There is a high prevalence of sedentary lifestyles worldwide during these ages, which negatively impacts health. This is attributed, in part, to excessive time spent engaging in sedentary behaviors. The aim of this study was to assess the time spent on sedentary behaviors and their relationship with physical activity levels in children and adolescents in the Community of Madrid. A total of 26,729 participants aged 10-17 from various schools and institutes took part in this study. The International Physical Activity Questionnaire Short Form (IPAQ-SF) was used, and they were asked about the time they spent on different leisure time habits (specific sedentary behaviors and organized physical activity). A generalized linear model was used to analyze the association between the time spent in sedentary activities and the time spent in physical activity. The results revealed that children and adolescents engage in low levels of physical activity and most of them spend considerable time in sedentary behaviors such as studying, watching television, or using social media. Completing school homework (Coef: 1.23, 95% CI: -0.51 to 2.97, p = 0.167) or using social media for more than 2 h (Coef: 1.29, 95% CI: -2.98 to 0.40, p = 0.133) compared to not dedicating time to them did not show a significant association with daily physical activity time. Watching television for more than 2 h was associated with a decrease of 2.60 min (95% CI: -4.41 to -0.78, p = 0.005). Thus, no or only irrelevant associations were found between time spent in sedentary activities and physical activity time. Despite the drawbacks of spending time engaging in sedentary behaviors, they seem to be compatible with physical activity levels. Therefore, it is important to continue research on physical activity adherence strategies to promote overall health and well-being.

Physical Functioning, Physical Activity, and Variability in Gait Performance during the Six-Minute Walk Test.

Instrumenting the six-minute walk test (6MWT) adds information about gait quality and insight into fall risk. Being physically active and preserving multi-directional stepping abilities are also important for fall risk reduction. This analysis investigated the relationship of gait quality during the 6MWT with physical functioning and physical activity. Twenty-one veterans (62.2 ± 6.4 years) completed the four square step test (FSST) multi-directional stepping assessment, a gait speed assessment, health questionnaires, and the accelerometer-instrumented 6MWT. An activity monitor worn at home captured free-living physical activity. Gait measures were not significantly different between minutes of the 6MWT. However, participants with greater increases in stride time (ρ = -0.594, p < 0.01) and stance time (ρ = -0.679, p < 0.01) during the 6MWT reported lower physical functioning. Neither physical activity nor sedentary time were related to 6MWT gait quality. Participants exploring a larger range in stride time variability (ρ = 0.614, p < 0.01) and stance time variability (ρ = 0.498, p < 0.05) during the 6MWT required more time to complete the FSST. Participants needing at least 15 s to complete the FSST meaningfully differed from those completing the FSST more quickly on all gait measures studied. Instrumenting the 6MWT helps detect ranges of gait performance and provides insight into functional limitations missed with uninstrumented administration. Established FSST cut points identify aging adults with poorer gait quality.