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Although it is well established that moderate-to-vigorous physical activity (MVPA) buffers against declines in cognitive health, less is known about the benefits of light physical activity (LPA). Research on the role of LPA is crucial to advancing behavioral interventions to improve late life health outcomes, including cognitive functioning, because this form of physical activity remains more feasible and amenable to change in old age. Our study examined the extent to which increases in LPA frequency protected against longitudinal declines in cognitive functioning and whether such a relationship becomes pronounced in old age when opportunities for MVPA are typically reduced. We analyzed 9-year data from the national Midlife in the United States Study (n = 2,229; M age = 56 years, range = 33-83; 56% female) using autoregressive models that assessed whether change in LPA frequency predicted corresponding changes in episodic memory and executive functioning in middle and later adulthood. Increases in LPA frequency predicted less decline in episodic memory (β = 0.06, p = .004) and executive functioning (β = 0.14, p < .001) over the 9-year follow-up period, even when controlling for moderate and vigorous physical activity. Effect sizes for moderate and vigorous physical activity were less than half that observed for LPA. Moderation models showed that, for episodic memory, the benefits of increases in LPA frequency were more pronounced at older ages. Findings suggest that increases in LPA over extended periods of time may help slow age-related cognitive declines, particularly in later life when opportunities for MVPA are often diminished., (© 2024. The Author(s).)

Physical inactivity and sedentary behaviour are important risk factors for cardiovascular disease. Knowledge about the impact of everyday movements on cardiac autonomic regulation is sparse. This study aims to provide evidence that typical everyday movements show a clear impact on heart rate regulation. 40 healthy participants performed two everyday movements: (1) calmly kneeling down ("tie one's shoes") and standing up again and (2) raising the arms to the horizontal ("expressive yawning"). Both movements elicited reproducible pattern in the sequence of heart periods. Local minima and local maxima appeared in the transient period of approx. 30 s. The regulatory response for ergometer cycling, which was used as control, did not show a pattern formation. Calmly performed everyday movements are able to elicit rich cardiac regulatory responses including specific patterns in heart rate. These newly described patterns have multiple implications for clinical and rehabilitative medicine, basic research, digital health data processing, and public health. If carried out regularly these regulatory responses may help to mitigate the burden of physical inactivity and enrich cardiovascular regulation., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Heidelbach, Cysarz and Edelhäuser.)

Background: Sedentary behavior (SB) is one of the largest contributing factors increasing the risk of developing noncommunicable diseases, including cardiovascular disease and type 2 diabetes. Guidelines from the World Health Organization for physical activity suggest the substitution of SB with light physical activity. The Apple Watch contains a health metric known as the stand hour (SH). The SH is intended to record standing with movement for at least 1 minute per hour; however, the activity measured during the determination of the SH is unclear., Objective: In this cross-sectional study, we analyzed the algorithm used to determine time spent standing per hour. To do this, we investigated activity measurements also recorded on Apple Watches that influence the recording of an SH. We also aimed to estimate the values of any significant SH predictors in the recording of a SH., Methods: The cross-sectional study used anonymized data obtained in August 2022 from 20 healthy individuals gathered via convenience sampling. Apple Watch data were extracted from the Apple Health app through the use of a third-party app. Appropriate statistical models were fitted to analyze SH predictors., Results: Our findings show that active energy (AE) and step count (SC) measurements influence the recording of an SH. Comparing when an SH is recorded with when an SH is not recorded, we found a significant difference in the mean and median AE and SC. Above a threshold of 97.5 steps or 100 kJ of energy, it became much more likely that an SH would be recorded when each predictor was analyzed as a separate entity., Conclusions: The findings of this study reveal the pivotal role of AE and SC measurements in the algorithm underlying the SH recording; however, our findings also suggest that a recording of an SH is influenced by more than one factor. Irrespective of the internal validity of the SH metric, it is representative of light physical activity and might, therefore, have use in encouraging individuals through various means, for example, notifications, to reduce their levels of SB., (©Katy Lyons, Alison Hau Hei Man, David Booth, Graham Rena. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.06.2024.)

Increasing interest in measuring key components of the 24 h activity cycle (24-HAC) [sleep, sedentary behavior (SED), light physical activity (LPA), and moderate to vigorous physical activity (MVPA)] has led to a need for better methods. Single wrist-worn accelerometers and different self-report instruments can assess the 24-HAC but may not accurately classify time spent in the different components or be subject to recall errors. Objective . To overcome these limitations, the current study harmonized output from multiple complimentary research grade accelerometers and assessed the feasibility and logistical challenges of this approach. Approach . Participants ( n = 108) wore an: (a) ActiGraph GT9X on the wrist, (b) activPAL3 on the thigh, and (c) ActiGraph GT3X+ on the hip for 7-10 d to capture the 24-HAC. Participant compliance with the measurement protocol was compared across devices and an algorithm was developed to harmonize data from the accelerometers. The resulting 24-HAC estimates were described within and across days. Main results . Usable data for each device was obtained from 94.3% to 96.7% of participants and 89.4% provided usable data from all three devices. Compliance with wear instructions ranged from 70.7% of days for the GT3X+ to 93.2% of days for the activPAL3. Harmonized estimates indicated that, on average, university students spent 34% of the 24 h day sleeping, 41% sedentary, 21% in LPA, and 4% in MVPA. These behaviors varied substantially by time of day and day of the week. Significance . It is feasible to use three accelerometers in combination to derive a harmonized estimate the 24-HAC. The use of multiple accelerometers can minimize gaps in 24-HAC data however, factors such as additional research costs, and higher participant and investigator burden, should also be considered., (Creative Commons Attribution license.)

Purpose: The aim of the current study was to investigate the association of accelerometer-measured sleep duration and different intensities of physical activity (PA) with the risk of incident type 2 diabetes in a population-based prospective cohort study., Methods: Altogether, 88,000 participants (mean age = 62.2 ± 7.9 years, mean ± SD) were included from the UK Biobank. Sleep duration (short: <6 h/day; normal: 6-8 h/day; long: >8 h/day) and PA of different intensities were measured using a wrist-worn accelerometer over a 7-day period between 2013 and 2015. PA was classified according to the median or World Health Organization-recommendation: total volume of PA (high, low), moderate-to-vigorous PA (MVPA) (recommended, not recommended), and light-intensity PA (high, low). Incidence of type 2 diabetes was ascertained using hospital records or death registries., Results: During a median follow-up of 7.0 years, 1615 incident type 2 diabetes cases were documented. Compared with normal sleep duration, short (hazard ratio (HR) = 1.21, 95% confidence interval (95%CI): 1.03-1.41) but not long sleep duration (HR = 1.01, 95%CI: 0.89-1.15) was associated with excessive type 2 diabetes risk. This increased risk among short sleepers seems to be protected against by PA. Compared with normal sleepers with high or recommended PA, short sleepers with low volume of PA (HR = 1.81, 95%CI: 1.46-2.25), not recommended (below the World Health Organization-recommended level of) MVPA (HR = 1.92, 95%CI: 1.55-2.36), or low light-intensity PA (HR = 1.49, 95%CI: 1.13-1.90) had a higher risk of type 2 diabetes, while short sleepers with a high volume of PA (HR = 1.14, 95%CI: 0.88-1.49), recommended MVPA (HR = 1.02, 95%CI: 0.71-1.48), or high light-intensity PA (HR = 1.14, 95%CI: 0.92-1.41) did not., Conclusion: Accelerometer-measured short but not long sleep duration was associated with a higher risk of incident type 2 diabetes. A higher level of PA, regardless of intensity, potentially ameliorates this excessive risk., (Copyright © 2023. Production and hosting by Elsevier B.V.)

Aims: To investigate associations between objectively measured light (LPA) and moderate-to-vigorous (MVPA) physical activity on plasma homocysteine and serum C-reactive protein (CRP) in individuals with Non-Alcoholic Fatty Liver Disease (NAFLD)., Methods: This study was a secondary analysis using data from 2003 to 2006 National Health and Nutrition Examination Survey including a total of 983 individuals with NAFLD. Physical activity was assessed over 7 days with accelerometers. Participants were split into tertiles based on average daily minutes of LPA or MVPA and CRP and homocysteine were assessed across tertiles., Results: Adjusted plasma homocysteine and CRP were not different between groups regarding levels of LPA (Homocysteine: 1st tertile - 10.4 ± 0.7 µmol/L; 2nd tertile - 9.6 ± 0.4 µmol/L; 3rd tertile - 9.6 ± 0.4 µmol/L; p = 0.28; CRP: 1st tertile - 0.79 ± 0.12 mg/dL; 2nd tertile - 0.73 ± 0.09 mg/dL; 3rd tertile - 0.73 ± 0.09 mg/dL; p = 0.72). Adjusted CRP was significantly (p = 0.02) different across MVPA tertiles (1st: 0.87 ± 0.13 mg/dL; 2nd: 0.75 ± 0.10 mg/dL; 3rd:0.65 ± 0.09)., Conclusions: LPA does not appear to be effective at improving homocysteine or CRP levels in individuals with NAFLD. However, MVPA may be an effective therapy for decreasing CRP in NAFLD patients., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Objectives: We investigated how device-measured physical activity (PA) volume (PA energy expenditure [PAEE]) and intensity (fraction of PAEE from moderate-to-vigorous PA [FMVPAEE]) were associated with the incidence of type 2 diabetes mellites (T2DM)., Methods: This population-based prospective cohort study included 90,044 participants. The primary exposures were PAEE and FMVPAEE. The secondary exposures were energy expenditure exerted during light, moderate, and vigorous PA and their fraction of PAEE., Results: Each 1-SD increase in PAEE was associated with a 17% lower risk of T2DM (hazard ratio [HR]: 0.83, 95% confidence interval [CI]: 0.78-0.98). Each 1-SD increase in FMVPAEE was associated with a 21% lower incidence of T2DM (HR: 0.79, 95% CI: 0.74-0.83). Achieving the same PA volume (KJ/kg/day) through vigorous PA (HR: 0.88, 95% CI: 0.85-0.91) was more effective in preventing T2DM than moderate PA (HR: 0.97, 95% CI: 0.96-0.98) and light PA (HR: 0.99, 95% CI: 0.98-1.00)., Conclusion: A higher PA volume is associated with a lower incidence of T2DM. Achieving the same PA volumes through higher-intensity PA is more effective than low-intensity PA in reducing T2DM incidence., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Li, Zhang and Xing.)

Individuals exhibiting exaggerated blood pressure responses to stress are at increased risk for later cardiovascular disease. Engagement in brief bouts of moderate-to-vigorous physical activity may reduce instances of these exaggerated blood pressure responses. While observational work has shown that periods of light physical activity may also be associated with reduced blood pressure responses to stress in daily life, the few experimental studies involving light physical activity have methodological limitations that temper conclusions. The current investigation sought to understand the effects of brief bouts of light physical activity on blood pressure responses to psychological stress. In a between-person, single-session experimental design, 179 healthy, young adults were randomized to 15 min of light physical activity, moderate physical activity, or sitting before engaging in a 10-min computerized Stroop Color-Word Interference Task. Blood pressure readings were collected throughout the study session. Surprisingly, the light physical activity participants showed higher systolic blood pressure responses to stress than control participants by 2.9 mmHg (F (2, 174) = 3.49, η p 2  = 0.028, p = .078). These findings show that light physical activity may not be related to reduced blood pressure responses to stress in an experimental session involving healthy, college-aged adults and question the extent to which brief bouts of physical activity may reduce acute blood pressure responses to stress.p 2  = 0.028, p = .078). These findings show that light physical activity may not be related to reduced blood pressure responses to stress in an experimental session involving healthy, college-aged adults and question the extent to which brief bouts of physical activity may reduce acute blood pressure responses to stress., (© 2023 Society for Psychophysiological Research.)

Decreasing sedentary behavior and increasing light physical activity could promote the maintenance of functional abilities for older adults in assisted living (AL). The purpose of this qualitative study was to gather residents' recommendations about a proposed self-efficacy enhancing intervention to replace sedentary behavior with light physical activity. We interviewed 20 residents (mean age 83.1; 60% women). Topics included their current activities and thoughts about physical activity. We presented the intervention and asked questions to inform its modification. Data were analyzed with content and thematic analysis. Specific recommendations included shorter one-hour sessions and framing the intervention as increasing light physical activity rather than decreasing sedentary behavior. The thematic analysis identified multiple factors that could influence intervention implementation, including motivation to be active, safety concerns, ageist attitudes about physical activity, varying abilities of residents, social influences, and limited opportunities for physical activity. These results will inform physical activity intervention implementation for AL residents.

Children with Down syndrome (DS) have physical characteristics such as hypotonus of the musculature. Therefore, their attainment rate of physical activity guidelines is low, and guidelines alone may not be sufficient in assessing the amount of physical activity in children with DS. Compared with normal children (NC) of the same grade, light physical activity (LPA) must be considered while assessing physical activity of children with DS, owing to muscle hypotonia. This study included 69 children with DS and 68 NC in grades 4−6 attending elementary school in Japan. The measurements for physical characteristics included age, height, weight, and body mass index. Physical activity was measured using a triaxial accelerometer, which indicated physical activity volume. Children with DS had less moderate-to-vigorous physical activity duration (DS: 53.1 min/day, NC: 65.0 min/day; p < 0.001) but significantly longer LPA duration (DS: 376.4 min/day, NC: 287.7 min/day; p < 0.001) than NC. Conversely, the amount of light to vigorous physical activity (Met’s-hours/day) was greater in children with DS (DS: 16.0 Met’s-hours/day, NC: 14.4 Met’s-hours/day; p = 0.037). In children with DS with muscular hypotonia, vigorous physical activity is challenging, but LPA is feasible. Developing and validating educational programs that promote physical activity with intensity level depending on individual’s physical characteristic are warranted.

Objective: To investigate the moderating effect of step count and peak cadence on the relationship of sedentary time and cardiometabolic disease risk in community-dwelling older adults., Methods: This cross-sectional study included 248 older adults aged 60-80 years without cardiovascular disease (66.0 ± 4.6 years of age; 78 % females). Sedentary time, step count and peak cadence were measured by a hip-worn accelerometer for seven days. Peak cadence was defined as the average of 30 min of the day (but not necessarily consecutive) with the highest cadence (steps per minute) for all valid days. Cardiometabolic disease risk was defined using a sex-specific continuous metabolic syndrome score (cMetS). Sedentary time was used as an explanatory variable for cMetS and step count and peak cadence as moderators. The analyses were adjusted for known cardiometabolic disease risk factors and accelerometer wear time. The Johnson-Neyman technique was used to specify the value of moderator variables at which the significant relationship between sedentary time and cMetS disappears., Results: Both step count (β = -0.186, P = 0.032) and peak cadence (β = -0.003, P = 0.007) showed a moderating effect on the relationship of sedentary time and cMetS. The association of sedentary time and cMetS was not statistically significant (p > 0.05) when step count or peak cadence exceed 5715 steps per day and 57 steps per minute, respectively., Conclusion: Steps per day and peak cadence moderate the association of sedentary time and cardiometabolic disease risk in older adults. Therefore, steps per day and peak cadence seem to offset the deleterious effects of sedentary time on cardiometabolic health in this population., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Youth obesity has been a pandemic for decades. One of its causes is a low level of physical activity. It is necessary to know the specific situation of adolescents and the factors that influence it in order to be able to act accordingly. The first aim of the current study is to create an explanatory model to establish the relationships between light physical activity time, light physical activity energy expenditure, screen time and social support. The second aim is to propose a theoretical model specifying the relationships between moderate-vigorous physical activity time, moderate-vigorous physical activity energy expenditure, screen time and social support. The study design was non-experimental (ex post facto), descriptive-correlational and cross-sectional. A total of 694 adolescents from the region of Soria (12-17 years) participated in the study. The instruments administered were the Four by One-Day Physical Activity Questionnaire, Parent Support Scale and Peer Support Scale. Two structural equation models were developed to analyse the relationships between the variables that comprised the explanatory models. The results show that social support had a negative influence on screen time in the proposed model in relation to light physical activity (r = -0.210; p ≤ 0.001) and in the proposed one regarding moderate-vigorous physical activity (r = -0.173; p ≤ 0.05). Social support was negatively related to light physical activity time (r = -0.167; p ≤ 0.05). Family support had a greater influence than did peer support. In conclusion, the models for light and moderate-vigorous physical activity are useful to describe the relationships between time, energy expenditure, screen time and social support.

The aging of the population is increasing the load on the healthcare system, and enhancing light physical activity among older adults can alleviate this problem. This study used medical examination data from 1773 older adults in Lanzhou city (China) and adopted the random forest model to investigate the effect of the built environment on the duration of light physical activity of older adults. The results showed that streetscape greenery has the most significant impact on older adults' light physical activity; greenery can be assessed in a hierarchy of areas; population density and land-use mix only have a positive effect on older adults' light physical activity up to a certain point but a negative effect beyond that point; and a greater distance to the park within 1 km is associated with a longer time spent on light physical activity. Therefore, we conclude that the built environment's impact is only positive within a specific range. Changes in the intervention of environmental variables can be observed visually by calculating the relative importance of the nonlinearity of built environment elements with partial dependency plots. These results provide a reasonable reference indicator for age-friendly community planning.

Background: Evidence on associations between environmental factors and accelerometer-derived light-intensity physical activity (LPA) is scarce. The aim of this study was to examine associations between Geographic Information System (GIS)-based neighborhood built environmental factors and accelerometer-derived LPA, and to investigate the moderating effect of age group (adolescents, adults, older adults) on these associations., Methods: Objective data were used from three similar observational studies conducted in Ghent (Belgium) between 2007 and 2015. Accelerometer data were collected from 1,652 participants during seven consecutive days, and GIS-based neighborhood built environmental factors (residential density, intersection density, park density, public transport density, entropy index) were calculated using sausage buffers of 500 m and 1,000 m around the home addresses of all participants. Linear mixed models were performed to estimate the associations., Results: A small but significant negative association was observed between residential density (500 m buffer) and LPA in the total sample (B = -0.002; SE = 0.0001; p  = 0.04), demonstrating that every increase of 1,000 dwellings per surface buffer was associated with a two minute decrease in LPA. Intersection density, park density, public transport density and entropy index were not related to LPA, and moderating effects of age group were absent., Conclusions: The small association, in combination with other non-significant associations suggests that the neighborhood built environment, as classically measured in moderate-to-vigorous intensity physical activity research, is of limited importance for LPA. More research is needed to unravel how accelerometer-derived LPA is accumulated, and to gain insight into its determinants., Competing Interests: The authors declare there are no competing interests., (©2022 Compernolle et al.)

Physical inactivity, i.e. not reaching the recommended level of physical activity (PA), and sedentary behaviours (SB), i.e. sitting time, have been associated with increased risk for common metabolic diseases. Recent epidemiological data suggest that high volumes of SB are detrimental to metabolic health, even in the presence of regular exercise, i.e. moderate/vigorous PA. This suggests that the health effects of SB are independent from those of exercise. However, experimentally testing this hypothesis is complicated because of the difficulty in disassociating SB from PA. Bedrest studies, a traditional space science model, can offer new insights. In some bedrest studies, an exercise training protocol has been used to counteract the harmful effects of inactivity. While bedrest induces an inactive and sedentary state, exercise with bedrest represents a unique model of sedentary yet physically active people. Here, we review bedrest studies with and without exercise training. Although exercise training prevents the loss of muscle mass and function, even large volumes of exercise are not sufficient to fully counteract the negative metabolic adaptations triggered by inactivity. This observation supports the existence of independent adverse health effects of SB, but also the potential benefits of non-exercise activity, i.e. daily living light PA. We gathered available data to examine the complex relationships between exercise, non-exercise activity, SB and health outcomes. Given the large amount of SB in modern societies, the sole promotion of exercise, i.e. moderate/vigorous PA may be insufficient, and promotion of light PA may be a complimentary approach to improve health., (© 2021 The Authors. The Journal of Physiology © 2021 The Physiological Society.)

Objectives: This study aimed to investigate whether accelerometer-measured light physical activity (LPA) is associated with cognitive function and whether engaging in ≥3 h/day of LPA can reduce the chance of cognitive impairment among a sample of older adults in Taiwan., Design: Cross-sectional study., Setting: An outpatient department in a medical center., Participants: Participants were community-dwelling older adults aged 65 years and older who were able to walk independently from September 2020 to March 2021., Measurements: A tri-axial accelerometer was used to measure LPA for 7 consecutive days, and the Mini-Mental State Examination (MMSE) scale was used to assess the chance of cognitive impairment. Multiple linear regression model and binary logistic regression model were performed to examine the association between LPA and MMSE scores., Results: 145 older Taiwanese adults (51.7% men; 81.2±6.8 years; 6.9% at chance of cognitive impairment) were included. After adjusting for moderate-to-vigorous physical activity (MVPA) and wear time, we found that there was a significant association between LPA and cognitive function (95% confidence interval [CI]: 0.64-1.65; P<0.001), and further found that those who engaged in LPA ≥3 h/day were at reduced chance of cognitive impairment compared with people who engaged in LPA <3 h/day (odds ratio [OR]: 0.16; 95% CI: 0.03-0.80; P=0.025)., Conclusion: This study demonstrated that engaging in LPA ≥3 h/day could be viewed as a protective factor for maintaining cognitive function in older adults. We recommend further longitudinal research to elucidate the association between intensity-specific LPA and cognitive function., Competing Interests: The author reports no conflicts of interest in this work.

Though we know physical activity (PA) decreased while sedentary behavior (SB) increased compared to that before the COVID-19 pandemic, little is known about subsequent changes in PA and SB throughout one year in the post-pandemic era. This study aimed to examine the changes in PA and SB in a sample of Chinese young adults using a four-wave repeated-measure design during the pandemic. A total of 411 participants provided self-reported data of sociodemographic characteristics (e.g., sex, age), PA, and SB. Nonparametric tests and generalized estimating equations were conducted. Results revealed significant changes in moderate to vigorous PA (MVPA), light PA (LPA), and SB. The MVPA of Wave 1, 2, and 3 was significantly less than that of Wave 4 ( p < 0.001); the LPA of Wave 1 and 2 was significantly less than that of Wave 4; the SB of Wave 1 was significantly more than that of Wave 4 ( p < 0.05). Being female was the only predictor of changes in MVPA (Beta = -0.311, p < 0.001). Being female (Beta = 0.115, p = 0.003) and perceived family affluence (Beta = -0.059, p < 0.001) were predictors of changes in SB. As such, PA was less, while SB was more during the early stages of the pandemic. With the progress of the pandemic stages, health behaviors in young adults have been gradually improved. Sex and perceived family affluence were two important factors in predicting health behaviors. Our results can inform efficient policies or interventions in the COVID-19 era and future similar public health events.

Background: While research has examined physical activity differences between youth with autism spectrum disorder (ASD) and neurotypical peers, they largely do not consider demographic or anthropomorphic variables when recruiting comparison group participants., Objective: The purpose of this preliminary study was to compare light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) between youth with ASD and age, sex, and body mass index (BMI) matched neurotypical peers from the same geographic region., Method: A sample of 36 participants, including youth aged 13-17 with ASD and age, sex, and BMI-matched neurotypical youth recruited from the same geographic location. Demographic information was obtained via parent report, and physical activity was measured using the ActiGraph GT3x accelerometer. Participants wore monitors for seven consecutive days during waking hours. Descriptive analyses were conducted for participant demographics, LPA, and MVPA, and paired-sample t-tests were employed to examine differences in LPA and MVPA between youth with ASD and age, sex, and BMI-matched neurotypical peers., Results: Youth with ASD and their age, BMI, and sex matched neurotypical peers demonstrated no significant difference in average daily LPA (201.36 ± 63.50 v. 172.30 ± 54.98) or MVPA (33.54 ± 17.07 v. 37.63 ± 19.94)., Conclusions: Results indicate that youth with ASD did not engage in significantly less MVPA than age, sex, and BMI-matched peers from the same geographic location. Not finding clear distinctions between youth with ASD and neurotypical peers in this study suggest that variability in other social or environmental factors may play a larger role in influencing MVPA than ASD itself., Competing Interests: Declaration of competing interest The Author(s) declare(s) that there is no conflict of interest., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: There is limited prospective evidence on the association between physical activity (PA) and inflammation in older adults. Our aim was to assess the associations between changes in PA and changes in the inflammatory profile in older individuals who are overweight or obese., Methods: This prospective study included 489 men and women, aged 55-75 years, from the PREDIMED-Plus trial. Levels of interleukin 6 (IL-6), interleukin 8 (IL-8), interleukin 18 (IL-18), monocyte chemo-attractant protein-1 (MCP-1), C-peptide, high-sensitivity C-reactive protein (hs-CRP), leptin, and regulated on activation, normal T-cell expressed and secreted chemokine (RANTES) were obtained from fasting blood samples and a composite inflammatory score based on these biomarkers was calculated. Physical activity was measured by a validated questionnaire. All measures were taken at baseline and one-year follow-up., Results: Multiple linear regression models showed an association between an increase in total PA and a decrease in the inflammatory score (p = 0.012), which was particularly driven by a decrease in C-peptide (p = 0.037). Similarly, the inflammatory score decreased with increasing moderate PA (p = 0.001), and moderate-to-vigorous PA (p = 0.006)., Conclusions: Increases in total PA, moderate and moderate-to-vigorous PA were associated with a decrease in the inflammatory profile of obese or overweight older individuals. This finding is relevant for PA recommendations and public health strategies., Clinical Trial Registry: Clinical trial identifier: International Standard Randomized Controlled Trial 89898870., Competing Interests: Conflict of interest The authors declare that they have no competing interests., (Copyright © 2020. Published by Elsevier Ltd.)

Introduction: Regular moderate-to-vigorous physical activity (MVPA) is associated with improved mental health, but the evidence for the effect of reducing sedentary behavior (SB) or increasing light PA (LPA) in older adults is lacking. Using isotemporal substitution (IS) models, the aim of this paper was to investigate the effect of substituting SB with LPA or MVPA on associations with mental health in older adults., Methods: Data from 1360 older adults (mean age 75.18 years) in four countries were utilized. PA and SB was measured using ActiGraph wGT3X-BT + accelerometers worn for 7 days. Self-rated mental health was measured using the Hospital and Anxiety Depression Scale (HADS). IS models estimated cross-sectional associations when 30 minutes of one behavior was substituted with another. Models were adjusted for age, sex, marital status, and educational attainment., Results: Substituting 30 minutes of SB with LPA (β -.37; 95% CI -0.42, -0.32) or MVPA (β -.14; 95% CI -0.21, -0.07) and substituting LPA with MVPA (β -.11; 95% CI -0.18, -0.04) were associated with improvements in anxiety. However, substituting 30 minutes of SB with LPA (β .55; 95% CI 0.49, 0.62) was associated with increased depression., Conclusion: Replacing 30 minutes of SB with LPA or MVPA was associated with improved anxiety symptoms in older adults. Greater benefits were observed when shifting SB and LPA to MVPA., (© 2020 The Authors. Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.)

Background : In response to the COVID-19 pandemic, physical distancing measures have been implemented globally. Canadians have been instructed to stay at home, which has likely resulted in significant changes in their physical activity. Using data from a national physical activity tracking app (PAC app), we aimed to determine device-measured physical activity levels immediately prior to and following the implementation of physical distancing measures in Canada to provide evidence for the development of physical activity recommendations for future pandemics or second wave infections. Methods : Demographic and physical activity data were extracted from the ParticipACTION app (PAC app), using a 10-week (10 February to 19 April 2020) quasi-experimental design to determine changes in physical activity 4 weeks pre-pandemic and 6 weeks post-pandemic declaration. Weekly physical activity levels were monitored through wearable fitness trackers and health apps linked to the PAC app, to record moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), and steps. Repeated measure ANOVA was used to determine changes over time (mean ± SE). Findings : A total of 2,338 Canadians who were mostly 35-44 years old (26.6%) and female (90.2%) were included in the analysis. MVPA, LPA, and steps significantly declined immediately following the declaration of the pandemic (MVPA: pre-pandemic: 194.2 ± 5.2 min, post-pandemic: 176.7 ± 5.0 min, p < 0.001; LPA: pre-pandemic: 1,000.5 ± 17.0 min, post-pandemic: 874.1 ± 15.6 min, p < 0.001; steps: pre-pandemic: 48,625 ± 745 steps, post-pandemic: 43,395 ± 705 steps, p < 0.001). However, 6 weeks following pandemic declaration, MVPA (week 6: 204.4 ± 5.4 min, p = 0.498) had returned to pre-pandemic levels. LPA (week 6: 732.0 ± 14.3 min, p = < 0.001) and steps (week 6: 41,946 ± 763, p < 0.001) remained significantly lower than pre-pandemic levels at week 6. Interpretation : Although MVPA returned to pre-pandemic levels, significant and sustained declines in incidental LPA and steps were observed. Attenuating the loss of incidental physical activity should be a public health priority in response to future pandemics or a second wave of a COVID-19 infection, as it may have significant long-term implications for the physical and mental health of Canadians., (Copyright © 2020 Di Sebastiano, Chulak-Bozzer, Vanderloo and Faulkner.)

Frailty is associated with poor bone health and osteoporosis, and physical activity (PA) is one of the best treatments for both pathologies in older adults. Nonetheless, because daily time is limited, how the time is distributed during the waking hours is critical. The waking hours are spent according to different movement behaviors: sedentary behaviors (SB), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). The aim of this study was to use compositional data analyses to examine the effects of the change in movement behaviors on bone health during aging in older people, related to the changes in their frailty levels. We analyzed 227 older people aged 65 to 94 (125 women and 102 men) over a 4-year period. Movement behaviors were assessed using accelerometry. Both bone mineral density (BMD) and bone mineral content (BMC) were determined using bone densitometry. The Frailty Trait Scale was used to divide the sample by frailty level evolution during aging. The R statistical system was used for the compositional data analysis and, in addition, all models were adjusted for several covariates. The changes in the distribution of all movement behaviors within a waking hour period were significantly associated with spine and femoral neck BMD changes in the subgroup with a positive change in frailty level and spine BMC in the subgroup with no change in frailty level (p ≤ .05). Likewise, MVPA relative to the change in other movement behaviors was also associated in both subgroups with higher BMD and BMC, respectively, in the same body areas (p ≤ .05). No significant associations were found in the negative change in frailty level subgroup. Older people who achieved a positive change in frailty level during a 4-year period showed higher BMD changes compared to those with no changes or increases in their frailty level. Therefore, increasing MVPA relative to the change in the other movement behaviors during a 4-year period could perhaps produce bone health improvements in the elderly that do not worsen their frailty level. © 2020 American Society for Bone and Mineral Research., (© 2020 American Society for Bone and Mineral Research.)

Objectives : To investigate the associations between objectively measured sedentary behavior (SB), light-intensity physical activity (LIPA) and moderate-to-vigorous physical activity (MVPA) and cardiometabolic and endocrine biomarkers, and to estimate the associations of reallocating time from one behavior to another with cardiometabolic and endocrine biomarkers. Methods : Baseline data from participants diagnosed with prediabetes or type 2 diabetes, n = 175, 58% men, mean (SD) age = 64.4 (7.7), recruited to a physical activity intervention was used. Time spent in SB, LIPA and MVPA was measured by accelerometer and transformed into isometric log-ratio coordinates. The associations between time spent in SB, LIPA and MVPA and biomarkers were examined by linear regression models. The change in each outcome of reallocating time between the three behaviors was estimated. Results : The findings show strong positive associations of time spent in MVPA and negative associations of time spent in SB relative to time spent in the other behaviors with sagittal abdominal diameter (SAD) and homeostasis model assessment for insulin resistance (HOMA-IR) and negative associations of time spent in SB with high-density lipoprotein (HDL) cholesterol. Theoretically, reallocation of 19 minutes MVPA to SB or to LIPA was associated with a 17% and 17% larger SAD, 39% and 36% larger HOMA-IR values and 3.3% and 2.3% lower levels of HDL, respectively. Conclusion : In conclusion, our analysis from a time-use perspective supports the current evidence that sedentary time is devastating for the cardiometabolic health. While LIPA probably requires more time, maintaining or increasing time in MVPA are the most important features of the time use behaviors when promoting a favorable cardiometabolic risk profile in adults with prediabetes and type 2 diabetes. Trial registration : ClinicalTrials.gov, NCT02374788. Registered 2 March 2015 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT02374788.

The aim of this study was to examine the associations of fitness and physical activity with academic achievement in children with overweight/obesity. A total of 106 (10.0 ± 1.1y, 61 boys) children participated. The fitness components were assessed by field and laboratory-based tests. Physical activity was measured via accelerometry. The academic achievement was assessed by a standardised test and school-grades. Field-based cardiorespiratory fitness was associated with language skills (ß-standardised- ranging from 0.281 to 0.365, p < 0.01). The field-based muscular strength was associated with grade point average, natural and social sciences, and foreign language (ß = 0.280-0.326, all p ≤ 0.01). Speed-agility was associated with some language-related skills (ß = 0.325-0.393, all p ≤ 0.01). The laboratory-based muscular strength also showed an association with mathematics skills (ß = 0.251-0.306, all p ≤ 0.01). Physical activity did not show significant association with academic achievement (p > 0.01). Overall, the significant associations observed for muscular strength and speed/agility were attenuated and disappeared in many cases after additional adjustments for body mass index and cardiorespiratory fitness, indicating that these associations are inter-dependent. Our study contributes by indicating that other fitness components apart from cardiorespiratory fitness, such as muscular strength and speed-agility, are positively associated with academic achievement. However, these associations appear to be dependent on body mass index and cardiorespiratory fitness.

Background: People with chronic obstructive pulmonary disease (COPD) are very sedentary; increasing light physical activity (LPA) may help to promote long-term maintenance of physical activity., Objectives: We evaluated feasibility and acceptability of Active for Life with COPD, a self-efficacy-enhancing intervention designed to increase LPA., Methods: The 10-week intervention included walking, functional circuit training, and behavioral and educational strategies. Measures included attrition, adherence, objectively measured physical activity, and qualitative interviews., Results: Thirty-six subjects enrolled in the study; 26 completed the intervention and 19 completed the two-month follow-up. Subjects reported the intervention was enjoyable and beneficial, but disliked the activity log and buddy system. Subjects increased mean time spent standing/stepping by 36 (SD = 82) min/24 h (P > 0.05); they retained a gain of 21 (SD = 88) min/24 h at the two-month follow-up (P > 0.05)., Conclusions: The Active for Life with COPD intervention is feasible, acceptable, and may support long term maintenance of physical activity., Competing Interests: Declaration of Competing Interest None., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Processing decisions for accelerometry data can have important implications for outcome measures, yet little evidence exists exploring these in older adults. The aim of the current study was to investigate the impact of three potentially important criteria on older adults, physical activity, and sedentary time. Participants (n = 222: mean age 71.75 years [SD = 6.58], 57% male) wore ActiGraph GT3X+ for 7 days. Eight data processing combinations from three criteria were explored: low-frequency extension (on/off), nonwear time (90/120 min), and intensity cut points (moderate-to-vigorous physical activity ≥1,041 and >2,000 counts/min). Analyses included Wilcoxon signed-rank test, paired t tests, and correlation coefficients (significance, p < .05). Results for low-frequency extension on 90-min nonwear time and >1,041 counts/min showed significantly higher light and moderate-to-vigorous physical activity and lower sedentary time. Cut points had the greatest impact on physical activity and sedentary time. Processing criteria can significantly impact physical activity and/or sedentary time, potentially leading to data inaccuracies, preventing cross-study comparisons and influencing the accuracy of population surveillance.

Background: This study explored the association between inactive time and measures of adiposity, clinical parameters, obesity, type 2 diabetes and metabolic syndrome components. It further examined the impact of reallocating inactive time to time in bed, light physical activity (LPA) or moderate-to-vigorous physical activity (MVPA) on cardio-metabolic risk factors, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults., Methods: This is a cross-sectional analysis of baseline data from 2189 Caucasian men and women (age 55-75 years, BMI 27-40 Kg/m 2 ) from the PREDIMED-Plus study (http://www.predimedplus.com/). All participants had ≥3 components of the metabolic syndrome. Inactive time, physical activity and time in bed were objectively determined using triaxial accelerometers GENEActiv during 7 days (ActivInsights Ltd., Kimbolton, United Kingdom). Multiple adjusted linear and logistic regression models were used. Isotemporal substitution regression modelling was performed to assess the relationship of replacing the amount of time spent in one activity for another, on each outcome, including measures of adiposity and body composition, biochemical parameters and blood pressure in older adults., Results: Inactive time was associated with indicators of obesity and the metabolic syndrome. Reallocating 30 min per day of inactive time to 30 min per day of time in bed was associated with lower BMI, waist circumference and glycated hemoglobin (HbA1c) (all p-values < 0.05). Reallocating 30 min per day of inactive time with 30 min per day of LPA or MVPA was associated with lower BMI, waist circumference, total fat, visceral adipose tissue, HbA1c, glucose, triglycerides, and higher body muscle mass and HDL cholesterol (all p-values < 0.05)., Conclusions: Inactive time was associated with a poor cardio-metabolic profile. Isotemporal substitution of inactive time with MVPA and LPA or time in bed could have beneficial impact on cardio-metabolic health., Trial Registration: The trial was registered at the International Standard Randomized Controlled Trial (ISRCTN: http://www.isrctn.com/ISRCTN89898870) with number 89898870 and registration date of 24 July 2014, retrospectively registered.

Research has found that social relationships are central to the health and well-being of an aging population. Evidence exploring the association between physical activity (PA) and sedentary behavior (SB) with social isolation and loneliness is limited. This study uses objectively measured PA and SB (ActiGraph®) and self-reported measures of loneliness (the De Jong Gierveld Loneliness Scale) and social engagement (the Lubben Social Network Scale) from the SITLESS study, a European-wide study of community-dwelling older adults. Social isolation was associated with SB where higher levels of SB were associated with an increase in the level of social isolation, controlling for age, sex, living arrangements, employment status, body mass index, educational background, marital status, and self-reported general health. In contrast, PA was not associated with social isolation, and neither SB nor PA was a statistically significant predictor of loneliness. SB may be linked to social isolation in older adults, but PA and SB are not necessarily linked to loneliness in older community-dwelling adults.

Purpose : To better promote college students' physical activity (PA) and quality of life (QoL), it is imperative to understand this population's PA correlates, such as self-determined motivation and perceived competence. However, few studies existed in this area of inquiry among Chinese college students. Thus, the purpose of this study was to examine the relationships among Chinese college students' self-determined motivation, PA, and QoL. Method: A total of 220 college students (115 females; M age = 20.29 years, SD = 2.37; M BMI = 20.67) were recruited from one university in south-central China. Participants were instructed to wear the ActiGraph GT9X Link (ActiGraph, Pensacola, FL, USA) accelerometers for 7 days. A minute-by-minute stepping rate methodology was used to determine participants sedentary behaviors, light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Participants' self-determined motivation (autonomous, controlled, and amotivation), perceived competence, and QoL (physical function, stress, depression, fatigue, sleep, and social issues) were assessed by a battery of validated surveys in June 2017. Results : Participants reported moderate-high levels of PA correlates and QoL as the means ranged from 5.5 to 6 (out of 7) for PA correlates and 2.75 to 4 (out of 4) for QoL. The minute-by-minute stepping rate revealed participants had average 580.51 min/day in sedentary, 134.77 min/day in LPA, and 1.57 min/day in MVPA. Regression analyses for physical function, stress, depression, and social issues suggested that the models explained 4%-8% of the variances. Specifically, perceived competence was the negative predictor of the problems with physical function (β = -0.17, p < 0.05) and depression (β = -0.18, p < 0.01), amotivation was positively associated with depression and stress ( p < 0.05). Additionally, controlled motivation predicted the ability to participate in social roles and activities (β = 0.22, p < 0.05). No significant predictors emerged for fatigue or for sleep. Conclusions : Findings suggest Chinese college students' perceived competence and social support are critical for improving PA and QoL. In addition, strategies are needed to motivate Chinese college students to engage in PA participation and improve overall well-being.

The aim of this study was to determine the relationship between bone mass (BM) and physical activity (PA) and sedentary behavior (SB) according to frailty status and sex using compositional data analysis. We analyzed 871 older people with an adequate nutritional status. Fried criteria were used to classify by frailty status. Time spent in SB, light intensity PA (LPA) and moderate-to-vigorous intensity PA (MVPA) was assessed from accelerometry for 7 days. BM was determined by dual-energy X-ray absorptiometry (DXA). The combined effect of PA and SB was significantly associated with BM in robust men and women ( p ≤ 0.05). In relation to the other behaviors, SB was negatively associated with BM in robust men while BM was positively associated with SB and negatively with LPA and MVPA in robust women. Moreover, LPA also was positively associated with arm BM ( p ≤ 0.01). Finally, in pre-frail women, BM was positively associated with MVPA. In our sample, to decrease SB could be a good strategy to improve BM in robust men. In contrast, in pre-frail women, MVPA may be an important factor to consider regarding bone health.

Background: Prolonged sedentary time is associated with adverse health outcomes, after controlling for the role of moderate-to-vigorous physical activity. We previously reported on a four-week randomized trial using a sit-stand desk (SSD) intervention that decreased sedentary time at work without changing activity level during non-work hours., Purpose: The purpose of this study was to measure the impact of the SSD on sitting time and activity level one year after the original intervention., Methods: A pre-post design was used where the control period from the original study was regarded as "pre" and the measurements made in the follow-up study as "post." The follow-up study was conducted in the same office workers over a two-week period in June 2013., Results: Fifteen out of the 23 participants took part in the follow-up study. Self-reported sitting time during work-hours was decreased by 22% (95% CI: 15% to 29%; p  < 0.001), replaced almost entirely by standing. Activity measured by Gruve accelerometer during work-hours were significantly higher in the one-year follow-up period compared to baseline (+24,748 AU/h; 95% CI: 7150 to 42,347; p  < 0.01). Sedentary time during work-hours was decreased by 0.77 min per work-hour (95% CI: -1.88 to 0.33 min/h; p  = 0.17). Qualitative findings through focus group sessions suggested the workers had overall favorable experiences with the SSDs without negatively impacting productivity., Conclusion: One year following the original intervention, participants continue to have increased activity and decreased sedentary time at work with the use of SSDs.

Background/objectives: The aim of this study was to examine the effect of physical activity (PA) and sedentary behaviour (SB) on body mass index (BMI) and fat mass index (FMI) in children over the course of five years and identify potential bi-directional associations., Subjects/methods: Data were drawn from the EU Childhood Obesity Project (CHOP). PA and SB were measured with the SenseWear Armband 2 at the ages of 6 (T1), 8 (T2) and 11 (T3) years. Height and weight were measured and BMI was calculated at each time point, resulting in 1254 complete observations from 600 children. Bio impedance analysis was used to measure body fat mass and eventually calculate FMI. To examine the longitudinal association between PA/SB and BMI/FMI as well as to account for repeated measure on these children, mixed model analysis was employed., Results: Higher levels of total PA and moderate-to-vigorous PA (MVPA) were associated with lower BMI and FMI and higher SB with higher BMI and FMI over the five year period. When looking at the age dependent effects, negative associations of MVPA (β MVPA x age : - 0.05, 95% confidence interval (CI): - 0.09 - -0.01, p = 0.007) and positive associations of SB (β SB x age : 0.04, 95% CI: 0.02-0.06, p < 0.001) increased with each year of age. In a model combining these two effects, only SB x age interaction remained significant (β SB x age : 0.04, 95% CI: 0.03-0.06, p = 0.01). No significant interaction between MVPA and SB could be discerned. Light Physical activity showed no significant associations with BMI or FMI. When reversing outcome and predictor; higher BMI or FMI showed a negative association with MVPA and a positive association with SB, but no age dependency., Conclusions: More time per day in SB was associated with a higher BMI over the course of five years, whereas higher MVPA had an inverse effect. In a combined model, only effects of higher SB remained significant, emphasizing the importance of SB in obesity prevention. Present bidirectional associations, where lower body size was associated with higher PA and lower SB, indicated the need for an integrated approach of activity and weight control for obesity prevention., Trial Registration: ClinicalTrials.gov Identifier: NCT00338689 . Registered: June 19, 2006 (retrospectively registered).

Aim of this study was to clarify if extension of the work phase has an impact on DNA- stability, telomere lengths and inflammatory markers. We conducted an intervention trial with office workers (n = 24) and carpenters (n = 10), who changed their working schedule from 8 to 12 h per day over a period of 3 months. The work of both groups involved only moderate physical activity. We found no evidence for induction of double strand breaks (measured in γH2AX assays) and relative telomere lengths (relTL&#95;36B4 and ALB) in lymphocytes in the two study groups. Furthermore, no overall changes of the levels of C-reactive protein (CRP), interleukin-6 (IL-6) and thiobarbituric acid reactive substances (TBARS) in plasma were detected. However, we found in agreement with earlier investigations a moderate (not significant) increase of the CRP levels with age. Furthermore, significant higher CRP concentrations (P = 0.03) were detected in young individuals (21-30 years) as a consequence of the extended working period. Taken together our findings indicate that prolongation of the working hours has no pronounced impact on DNA stability, telomere shortening and inflammatory markers; but the increase of the CRP concentrations in young workers may be indicative for adverse health effects in this subgroup., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Exergaming has been observed to be a viable supplemental approach in promoting physical activity (PA) among children. However, whether sex differences in PA and sedentary behaviors exist during exergaming is inconsistent. Thus, this study aimed to quantify, via accelerometry, young children's PA and sedentary behaviors during exergaming as well as examine sex differences in these PA and sedentary behaviors during gameplay. In total, 121 first- and second-grade children (mean age = 6.89 ± 0.9 years; 73 girls) were included in the analysis. Children were a part of a large 18-week parent study. Children wore ActiGraph GT1M accelerometers during exergaming play, with four measurements purposively selected from the 28 total exergaming sessions to capture children's PA and sedentary behaviors during exergaming play. Outcome variables included mean percentages of time spent in moderate-to-vigorous PA (MVPA), light PA (LPA), and sedentary behavior during each exergaming session. One-way ANOVA was performed to determine whether there were differences in the percentage of time engaged in MVPA, LPA, and sedentary behavior during exergaming by sex. Accelerometry data indicated that children's mean percentage of exergaming time spent in MVPA, LPA, and sedentary behavior were 19.9%, 32.9%, and 47.2%, respectively. However, no sex differences were present. Observations in this study indicated that boys and girls have similar PA levels during exergaming and suggests that features inherent to exergaming may assist in PA promotion among both sexes.

Aims: The main objective of this study was to determine the association between objectively measured physical activity (PA) and cardiometabolic risk factors, particularly insulin resistance (IR), in Japanese community-dwelling older adults without diabetes mellitus., Methods: Daily PA was measured by accelerometers in 388 community-dwelling older adults. IR was determined using homeostasis model assessment of insulin resistance (HOMA-IR). Regression analyses adjusted by age and sex were performed to determine the association of light-intensity PA (LPA), moderate-to-vigorous PA (MVPA), or total steps per day with cardiometabolic risk factors. Then, multiple regression analysis was performed with HOMA-IR as an independent variable and those factors with p < 10% in the regression analysis as explanatory variables., Results: Objectively measured LPA was negatively associated with systolic blood pressure, diastolic blood pressure, waist circumference, body mass index, and triglyceride (TG) and positively associated with high-density lipoprotein cholesterol (HDL-C). LPA was also negatively associated with IR. Total steps per day also had significant association with IR. MVPA was associated with TG, HDL-C, and IR. Multiple regression analysis showed that the association between LPA and IR was independent of other covariates, whereas that between MVPA and IR was lost after adjustment for other covariates., Conclusion: IR was associated with LPA or total steps, but not with MVPA, in community-dwelling older adults without diabetes mellitus., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Background: Sedentary behaviour (SB) is associated with adverse health outcomes in the general population. Replacing sedentary time with light intensity physical activity (LPA) has been linked with improvements in all-cause and cardiovascular disease mortality in adults. People with Rheumatoid Arthritis (RA) typically spend long periods of time sedentary, but the health consequences of 'too much sitting', and possible benefits of LPA, have not been fully explored in this population. Moreover, little is known regarding the determinants of these behaviours among people living with RA, and such knowledge is required for the development of effective behavioural interventions., Aims: To examine longitudinal relationships between: 1) objectively-assessed SB/LPA with health outcomes in RA, 2) hypothesised determinants of SB/LPA with objectively-assessed SB/LPA in RA., Methods: This longitudinal study will secure assessments at baseline (Time 1) and 6-month follow-up (Time 2) from RA patients. At both time points, physical assessments will be undertaken, and questionnaires administered to measure physical (e.g., percentage body fat, disease activity, physical function, pain) and psychological (e.g., depression, anxiety, vitality) health outcomes. Additional questionnaires will be administered to establish hypothesised determinants (i.e., psychosocial, individual differences, and physical environmental). Participants will wear the ActiGraph GT3X accelerometer and activPAL3 μTM for 7 days to objectively measure SB and LPA., Discussion: Findings will elucidate the health correlates of SB in RA, as well as the relevance of interventions targeting reductions in SB by promoting LPA. Results will also assist in identifying intervention targets (i.e., determinants), with the potential to encourage SB change in RA., (© 2018 The Mediterranean Journal of Rheumatology (MJR).)

Objective: Physical activity (PA), especially moderate-to-vigorous intensity, could protect older adults from cognitive impairment. However, most literature is based on self-reported PA which is limited by recall bias. Light PA is popular among older adults, but a paucity of objective longitudinal data has considered the relationship between light PA and cognitive ability. We examined if a higher level of objectively measured light PA, independent of moderate-to-vigorous physical activity (MVPA), was prospectively associated with better cognitive ability in older adults., Methods: A longitudinal study over 22.12 (±1.46) months including 274 community-dwelling older adults across 14 regions in Taiwan was undertaken. Cognitive ability was obtained using a Chinese version of the Ascertain Dementia 8-item Questionnaire (AD8) and light PA and MVPA captured by 7days accelerometer positioned on waist. Multivariable negative binomial regression adjusted for confounders were undertaken., Results: 274 participants (74.52years, 45.6% male) attended the follow-up (96.1%). Higher light PA, independent from MVPA, was associated with a reduced rate of decline in cognitive ability (rate ratio 0.75 [0.60-0.92]). MVPA, was also associated with a reduced decline in cognitive ability (rate ratio 0.85 [0.75-0.95]). Light PA was protective of cognitive ability in sensitivity analyses removing participants with activities of daily living difficulties, depressive symptoms and cognitive impairment at baseline., Conclusion: Our data suggest that light PA may offer a protective influence of future cognitive ability in community dwelling older adults. The promotion of light PA may be a valuable means to maintain cognitive ability in older age., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: Although emerging research is demonstrating the potential health impact of exergaming, investigations have primarily been conducted in laboratory settings among small samples with short-term interventions. Information on the effectiveness of exergaming in underserved children's objective physical activity (PA) in population-based settings is also scarce. Moreover, most empirical studies have only included 1 type of exergame in the intervention. Therefore, this study's purpose was to investigate the long-term impact of a multigame exergaming intervention among underserved children integrated within school curricula. Specifically, this study examined the effect of exergaming on children's accelerometer-determined sedentary behavior (SB), light PA, moderate-to-vigorous PA (MVPA), and energy expenditure (EE) over 2 years as compared with regular physical education (PE) classes., Methods: A total of 261 second- and third-grade children (134 girls, 127 boys; mean age 8.27 years) were recruited from 2 Texas elementary schools. Children's pre-test 3-day SB, light PA, MVPA, and EE at school were assessed in the fall of 2012. Participants were assigned to 1 of 2 groups: (1) exergaming/PE group (125 min weekly of exergaming-based PA program) and (2) comparison group (125 min weekly of PE). PA (SB, light PA, and MVPA) and EE outcome variables were assessed again in 2013 (post-test) and 2014 (follow-up)., Results: Significant time effects were observed for SB ( F (1, 162) = 25.0, p  <   0.01, η 2  = 0.14), light PA ( F (1, 162) = 9.6, p  < 0.01, η 2  = 0.06), and MVPA ( F (1, 162) = 6.2, p  = 0.01, η 2  = 0.04) but not for EE ( F (1, 162) = 0.63, p  > 0.05, η 2  = 0.004). Subsequent pairwise comparisons revealed significant increases from pre- to post-test for light PA ( p  <   0.01), MVPA ( p  <   0.01), and EE ( p  = 0.02) with no changes in SB ( p  > 0.05). Conversely, significant decreases occurred in light PA ( p  <   0.01) from post-test to follow-up with no differences seen in MVPA ( p  = 0.08) and EE ( p  = 0.06) over the same time period. A significant increase was seen, however, for SB from post-test to follow-up., Conclusion: Exergaming PE can have the same positive effect on children's light PA, MVPA, and EE as regular PE. More research is necessary to discern how to promote long-term PA participation after conclusion of the intervention.

Background: The ill-health effects of sedentary behavior are becoming well-documented, yet older adults spend 70-80% of waking hours sedentary., Purpose: To determine if a portable elliptical device increases energy expenditure (EE) while performing popular seated activities., Methods: Twenty older adults (68.1 ± 1.4 years) participated to compare the measured EE between seated rest and three randomized seated pedaling activities: computer use, reading, TV viewing. Each pedaling activity included 5-min of self-selected paced/no resistance (SSP) and externally paced/added resistance pedaling (Paced)., Results: A significant increase in EE existed during SSP (+1.44 ± 0.12 kcal/min) and Paced (+2.19 ± 0.09 kcal/min) pedaling relative to Seated Rest (p < .001). EE during the Paced activities was significantly greater than all SSP activities (p <.01)., Conclusion: Extrapolating these results, pedaling at a SSP for an hour while performing seated activities is equivalent to the net EE of walking 1.6 miles. Future home-based effectiveness and feasibility should be explored.

The purpose of the study was to quantify the contributions of physical education, exergaming (active video games that also are a type of exercise), recess, lunch break and after-school time segments to children's daily physical activity and sedentary behaviours. Participants were 138 second and third graders (71 girls) who attended 20-min recess and 75-min lunch time daily, 25-min regular physical education or exergaming-based classes being alternated daily. The after-school period was defined as 3:20-10:00pm. Physical activity was assessed via accelerometry and the dependent variables were children's time spent in moderate-to-vigorous physical activity (MVPA), light physical activity and sedentary behaviour. Children's percentages of time spent in MVPA (P < .001; except for the difference between exergaming and lunch break: P = .63), light physical activity (P < .001) and sedentary behaviour (P < .001) differed significantly across the time segments (i.e., physical education/exergaming, recess, lunch break and after-school). Additionally, children accumulated significantly more MVPA (t = 10.22, P < .001) but less light physical activity (t = -3.17, P = .002) and sedentary behaviour (t = -3.91, P < .001) in physical education than in exergaming. Overall, physical education was more effective in generating MVPA than other segments over the school day. The after-school segment holds potential as an avenue for promoting children's MVPA, as this long period could be better utilised to organise structured physical activity.

Even though physical activity and sedentary behaviour are two distinct behaviours, their interdependent relationship needs to be studied in the same environment. This study examines the influence of urban design, neighbourhood built and social environment, and household and individual factors on the interdependent relationship between objectively measured physical activity and sedentary behaviour in children in the Canadian city of Saskatoon. Saskatoon's built environment was assessed by two validated observation tools. Neighbourhood socioeconomic variables were derived from 2006 Statistics Canada Census and 2010 G5 Census projections. A questionnaire was administered to 10-14 year old children to collect individual and household data, followed by accelerometry to collect physical activity and sedentary behaviour data. Multilevel logistic regression models were developed to understand the interrelationship between physical activity and sedentary behaviour in the context of diverse environmental exposures. A complex set of factors including denser built environment, positive peer relationships and consistent parental support influenced the interrelationship between physical activity and sedentary behaviour. In developing interventions to facilitate active living, it is not only imperative to delineate pathways through which diverse environmental exposures influence physical activity and sedentary behaviour, but also to account for the interrelationship between physical activity and sedentary behaviour.

Background: Little is known about the influence of Montessori methods on children's physical activity (PA). This cross-sectional study compared PA of children attending Montessori and traditional preschools., Methods: We enrolled 301 children in 9 Montessori and 8 traditional preschools in Columbia, South Carolina. PA was measured by accelerometry on weekdays during preschool (In-School), non-school (Non-School), and all day (All Day). Minutes/hour of light, moderate-to-vigorous (MVPA), and total PA (light + MVPA) were calculated., Results: Children attending Montessori preschools accumulated more In-School light (7.7 vs. 6.5 minute/hour), MVPA (7.7 versus 6.5 minute/hour), and total PA (15.4 versus 13.0 minute/hour) than children attending traditional preschools, after adjusting for sex, race/ethnicity, body mass index, parent education and neighborhood poverty index. For Non-School (8.5 versus 6.2 minute/hour) and All Day (8.5 versus 7.6 minute/hour), children in Montessori preschools accumulated more MVPA than children in traditional preschools. In-School PA was higher for children in private Montessori than public Montessori preschools (8.1 versus 7.0 minute/hour; 8.1 versus 6.7 minute/hour; 16.1 versus 13.6 minute/hour, for light, MVPA, and total PA, respectively)., Conclusions: Children attending Montessori preschools were more active than children attending traditional preschools. Adopting the Montessori system may be an important strategy for promoting PA in children., (© 2014, American School Health Association.)