Association of Accelerometer-Measured Sedentary Time and Physical Activity With Risk of Stroke Among US Adults

Association of physical activity, sedentary behavior and stroke in older adults

Objective

The aim of this study was to investigate the relationship between physical activity, sedentary behavior and stroke in people aged 60 years and older.

Methods

The study included 3,010 participants aged 60 and older from the National Health and Nutrition Examination Survey (NHANES). Data on sedentary behavior, physical activity and stroke were obtained through questionnaires. Statistical analyses were performed using a complex multistage sampling design and weighted multivariate logistic regression. Smoothed curve fitting and threshold effects analyses were used to explore non-linear relationships between physical activity, sedentary behavior and stroke.

Results

There were 244 (7.53%) participants aged 60 years and older who had experienced a stroke. After adjusting for all covariates, physical activity, sedentary behavior and stroke were significantly associated [OR (95% CI) for physical activity: 0.622 (0.443, 0.875), p = 0.009; OR (95% CI) for sedentary behavior: 2.602 (1.557, 4.348), p = 0.003]. C-reactive protein mediated the association between sedentary behavior and stroke among older adults, with a mediation of 3.64%.

Conclusion

In people aged 60 years and older, sedentary behavior was positively associated with stroke, whereas physical activity was negatively associated with stroke, and C-reactive protein mediated the relationship between sedentary behavior and stroke.

2024 Guideline for the Primary Prevention of Stroke: A Guideline From the American Heart Association/American Stroke Association

AIM

The "2024 Guideline for the Primary Prevention of Stroke" replaces the 2014 "Guidelines for the Primary Prevention of Stroke." This updated guideline is intended to be a resource for clinicians to use to guide various prevention strategies for individuals with no history of stroke.

METHODS

A comprehensive search for literature published since the 2014 guideline; derived from research involving human participants published in English; and indexed in MEDLINE, PubMed, Cochrane Library, and other selected and relevant databases was conducted between May and November 2023. Other documents on related subject matter previously published by the American Heart Association were also reviewed.

STRUCTURE

Ischemic and hemorrhagic strokes lead to significant disability but, most important, are preventable. The 2024 primary prevention of stroke guideline provides recommendations based on current evidence for strategies to prevent stroke throughout the life span. These recommendations align with the American Heart Association's Life's Essential 8 for optimizing cardiovascular and brain health, in addition to preventing incident stroke. We also have added sex-specific recommendations for screening and prevention of stroke, which are new compared with the 2014 guideline. Many recommendations for similar risk factor prevention were updated, new topics were reviewed, and recommendations were created when supported by sufficient-quality published data.

Patterns and correlates of sedentary behavior among university students

Objective: To characterize the context, patterns, and correlates of sedentary behavior (SB) in university students. Participants: A total of 95 adults (41% men) enrolled in 34 different undergraduate majors. Methods: SB was assessed by questionnaire and accelerometer. Results: Objective SB and moderate-to-vigorous physical activity (MVPA) accounted for 8.4 ± 1.5 and 1.2 ± 0.5 h·day-1, respectively. Most SB was spent in occupational, leisure, and screen time behaviors, and was accumulated in short bouts of 10 min or longer. Women were more sedentary than men (522.0 ± 80.3 vs. 486.1 ± 91.3 min·day-1, p = 0.03) and engaged in more prolonged bouts of SB. Correlates of SB included female sex, smoking, light activity, MVPA, and markers of obesity, with higher levels of light activity and current smoking the strongest and most consistent correlates of reduced SB. Conclusions: University students engage in high amounts of SB and accumulate most of their SB in short bouts, with differences in patterns of SB between men and women.

Global, Regional, and National Burden of Stroke, 1990-2021: A Systematic Analysis for Global Burden of Disease 2021

BACKGROUND

This study aims to perform a comprehensive analysis of stroke burden from the Global Burden of Disease 2021.

METHODS

We conducted a comprehensive analysis of the burden, including prevalence, incidence, mortality, and disability-adjusted life year rates, for stroke across 204 countries and regions from 1990 to 2021 using data from the Global Burden of Disease 2021. We calculated the estimated annual percentage change (EAPC) and performed a joinpoint regression analysis to identify the trends. We also explored the association between the stroke burden and sociodemographic index.

RESULTS

The age-standardized prevalence, incidence, mortality, and disability-adjusted life year rates for stroke were 1099.310, 141.553, 87.454, and 1886.196 per 100 000 persons in 2021, respectively. The general stroke burden trends declined in EAPC analysis (age-standardized prevalence: EAPC, -0.37; age-standardized incidence: EAPC, -0.99; age-standardized mortality: EAPC, -1.81; and disability-adjusted life year: EAPC, -1.76). However, we found an increasing burden of stroke in East Asia and Southern Sub-Saharan Africa (EAPC >0). The global burdens of intracerebral hemorrhage, subarachnoid hemorrhage, and ischemic stroke showed a similar trend. The stroke, intracerebral hemorrhage, and ischemic stroke burdens were heavier in men than in women, except for that of subarachnoid hemorrhage in women. Our joinpoint regression analysis revealed that the age-standardized burden rates of stroke decreased from 1990 to 2021 (average annual percent change <0), whereas an upward trend was observed between 2019 and 2021 (average annual percent change >0). The burden of stroke was inversely proportional to the sociodemographic index (P<0.05), except in the case of subarachnoid hemorrhage. The actual stroke burden showed an increasing trend for stroke, intracerebral hemorrhage, subarachnoid hemorrhage, and ischemic stroke in 2021 (during the coronavirus pandemic).

CONCLUSIONS

We found age-standardized rates of stroke burden declining over time, but some areas exhibited a notable increase in the prevalence, incidence, mortality, and disability-adjusted life year rates.

Absolute and relative intensities of solo, free-form dancing in adults: A pilot study

OBJECTIVES

Engaging in dance of various styles confers health benefits among adults; however, additional studies on free-form dancing are needed to quantify its intensity and advance research on dance and health. This study characterized the absolute and relative physical activity (PA) intensities of solo, free-form dancing at self-determined moderate and vigorous intensities in adults.

METHOD

Participants (N = 48) ages 18 to 83 years old, with 0 to 56 years of dance training experience, engaged in 5-minute free-form dance bouts at respectively self-determined moderate and vigorous intensities, both with and without music. Absolute intensity was measured during bouts using indirect calorimetry (metabolic equivalents; METs = [Formula: see text]O2 ml·kg-1·min-1/3.5). Relative intensity was measured by ratings of perceived exertion (Borg scale) and heart rate. Linear mixed effects models were used to assess the relationship between absolute and relative intensity metrics and model covariates.

RESULTS

On average, the relative intensity of self-determined moderate-to-vigorous intensity dancing, with and without music, was 76% of the age-predicted maximal heart rate; 74% of the heart rate reserve (HRR); and 13 on the Borg scale. By measure of %HRR, all adults reached at least a moderate PA intensity across all dance bouts. The mean absolute intensity of self-determined moderate intensity free-form dancing without music was 5.6 METs, and the presence of music (β = 0.6) and the intention to dance at a vigorous intensity (β = 1.1) were both significantly positively associated with METs, as participants engaged in free-form dance; METs were significantly inversely associated with age (β = -0.05) and BMI (β = -0.10).

CONCLUSIONS

When characterized using HRR, engaging in free-form dance at self-determined moderate-to-vigorous PA intensities provided a sufficient stimulus for all adults to reach a moderate PA intensity, which provides evidence that dancing however one wishes at such perceived intensities may support adults in accumulating the recommended weekly dose of 3150 minutes of moderate intensity PA.

Improvements in Walking During Subacute Stroke Rehabilitation Translate to Physical Activity at the Chronic Stage: A Sub-Analysis From the Phys Stroke Trial

Stroke frequently results in mobility impairments, contributing to an increased cardiovascular risk. Despite efforts to promote physical activity, stroke survivors fail to meet recommended levels. This secondary analysis of the 'Physical Fitness in Patients with Subacute Stroke' (Phys-Stroke) trial analyzes physical activity at 6 months post-stroke, and examines the effect of gains in walking capacity during the subacute phase on physical activity in the chronic stage. Phys-Stroke compared aerobic exercise vs relaxation in 200 stroke patients. Data from the 6-minute walk test (6MWT) pre and post intervention as well as accelerometry and questionnaire data at 6 months were used. Data was analyzed using mixed linear models and function-on-scalar regression. At 6 months after stroke, participants exhibited low daily step counts (5,623 ± 2,998 steps/day), with most activity occurring in the morning and midday. Per meter gained in the 6MWT during the intervention period, participants increased daily steps by 8.2 (95% confidence interval, 1.6 to 14.8, p = 0.017) at 6 months. Questionnaire data showed that engagement in sports activities was minimal, basic activities being the primary activity. Stroke survivors demonstrated suboptimal activity levels at 6 months but increases in walking capacity during the subacute stage did result in meaningful increases chronically.

Trial Registration

ClinicalTrials.gov Identifier: NCT01953549.

Accelerometer-derived 'weekend warrior' physical activity pattern and brain health

Extensive evidence shows the beneficial effect of adhering to a regular physical activity (PA) pattern on brain health. However, whether the 'weekend warrior' pattern, characterized by concentrated moderate-to-vigorous PA (MVPA) over 1-2 days, is associated with brain health is unclear. Here, we perform a prospective cohort study including 75,629 participants from the UK Biobank with validated accelerometry data. Individuals were classified into three PA patterns using current guideline thresholds: inactive (<150 min week-1 of MVPA), weekend warrior (≥150 min week-1 with ≥50% of total MVPA occurring within 1-2 days) and regularly active (≥150 min week-1 but not meeting weekend warrior criteria). We find that the weekend warrior pattern is associated with similarly lower risks of dementia, stroke, Parkinson's disease, depressive disorders and anxiety compared to a regularly active pattern. Our findings highlight the weekend warrior pattern as a potential alternative in preventive intervention strategies, particularly for those unable to maintain daily activity routines.

Independent, Stratified, and Joint Associations of Sedentary Time and Physical Activity With Cardiovascular Disease: A Systematic Review

BACKGROUND

Recent statistics highlight cardiovascular diseases (CVD) as a major global cause of death. This review examines the methodological approaches and the main results of independent, stratified, and joint association of sedentary time (ST) and physical activity (PA) on CVD outcomes.

METHODS

We searched PubMed, Embase, Web of Science, and Scopus for prospective cohorts that examined the independent, stratified, or joint associations of ST and PA with CVD outcomes. Independent associations were defined as analyses mutually adjusted for PA and ST. Stratified associations were considered when there was a reference group in each stratum of PA or ST, and joint associations were defined by a single reference group for all other combined categories of ST and PA levels.

RESULTS

Of 45 articles, 69% explored independent association of ST or PA on CVD outcomes, while 31% using a stratified/joint approach. Most studies used self-reports for ST and PA and focused on CVD mortality. Mutually adjusted analyses identified ST positively and PA inversely associated to CVD outcomes. Stratified studies showed higher ST's pronounced impact on CVD for lower PA levels. High PA mitigated but did not eliminate ST's negative impact. Joint analyses revealed highest CVD risk in those with both high ST and low PA, and elevated risk in various intermediate combinations.

CONCLUSIONS

Employing independent, stratified, and joint association approaches can yield distinct and complementary public health messages aimed at promoting cardiovascular health. Recommendations should aim to not only to encourage boosting PA levels, but also, concurrently decrease ST.

Associations of Sedentary Behavior with Risks of Cardiovascular Disease Events among Chinese Adults

AIMS

Evidence regarding the modification effects of age, sex, ethnicity, socioeconomic status, or weight status on the associations of sedentary behavior (SB) with cardiovascular diseases (CVDs) is limited. Moreover, the mechanisms for the associations also remain unclear. We aimed to investigate the possible influence of these factors on the associations of SB with CVD events and whether the associations are mediated by metabolic phenotypes.

METHODS

This study included 42,619 participants aged 20-74 years, recruited from the Shanghai Suburban Adult Cohort and Biobank study. SB was assessed at baseline and integrated with health information systems to predict future CVD events. Cox proportional hazards models, interaction analyses, restricted cubic splines and causal mediation analyses were used for assessments.

RESULTS

Compared to those with ＜3 h/d sedentary time, participants having SB ≥ 5 h/d had significantly higher risks of CVD (HR[95%CI]: 1.27[1.12-1.44]), coronary heart disease (CHD, 1.35[1.14-1.60]), and ischemic stroke (IS, 1.30[1.06-1.60]). The association of CHD was more pronounced in the retired individuals than their counterparts (1.45[1.20-1.76] versus 1.06[0.74-1.52], pinteraction=0.046). When SB was expressed as a continuous variable, a 1 h/d increment in SB was positively associated with risks of CVD (1.03[1.01-1.05]), CHD (1.04[1.01-1.07]), and IS (1.05[1.01-1.08]). High-density lipoprotein cholesterol (HDL-C, proportion mediated: 12.54%, 12.23%, and 11.36%, all p＜0.001), followed by triglyceride (TG, 5.28%, 4.77%, and 4.86%, all p＜0.01) and serum uric acid (SUA, 3.64%, 4.24%, and 2.29%, all p＜0.05) were major mediators through metabolic phenotypes.

CONCLUSIONS

Higher SB was associated with elevated risks of CVD events. The detrimental effect of SB on CHD risk was more pronounced among retired individuals. Moreover, HDL-C, TG and SUA partially mediated the relationships between SB and CVD events. Our findings may have implications for preventing and controlling CVD associated with SB.

The association of sedentary time with sleep disturbances among the US population, 2005 to 2014

BACKGROUND

Sleep problems increase the risk of premature illness and death. We evaluated the association between sedentary time and sleep disturbances.

METHODS

A cross-sectional analysis of the US nationally representative data of 21,414 adults (aged > = 18 years) from National Health and Nutrition Examination Survey (NHANES) (2005-2014) was performed. The data of sleep disturbances were assessed using NHANES questionnaire results, which included the question, "{Have you/has sp} ever been told by a doctor or other health professional that {you have/s/he has} a sleep disorder?". All participants were stratified by quartiles of sedentary behavior distribution, which was the explanatory variable (sedentary time quartile cut points: Q1, 0 < = Q1 < 3 h; Q2, 3 < = Q2 < 5 h; Q3, 5 < = Q3 < 8 h; Q4, 8 < = Q4 < 20 h). We used multivariable logistic regression and the restricted cubic splines (RCS) model to assess the relationship between sedentary time and sleep disturbances.

RESULTS

In the unadjusted multivariable logistic regression model (crude model), there was a demonstrated tendency for the odds of sleep disturbances to increase with the sedentary time (Q1 as reference, Q2: OR, 1.31 [95% CI 1.09-1.58] P = 0.005; Q3: OR, 1.62 [95% CI 1.39-1.88] P < 0.001; Q4: OR, 1.75 [95% CI 1.48-2.06] P < 0.001; P for trend < 0.001). In the adjusted model 4, adjustment for gender, age, marital type, education type, race, family poverty index ratio, waist circumference, recreational type, smoke status, drink status, diabetes mellitus status, cardiovascular disease status, sleep duration type, body mass index, the OR in Q2 subgroup didn't significantly increase (Q1 as reference. Q2: OR, 1.18 [95% CI 0.96-1.44] P = 0.1). However, the ORs in Q3 and Q4 (Q3: OR, 1.35 [95% CI 1.14-1.59] P < 0.001; Q4: OR, 1.45 [95% CI 1.21-1.75] P < 0.001) both revealed that the risk of sleep disturbances increased with increasing sedentary time, P for trend < 0.001. The unadjusted RCS model revealed that the risk of sleep disturbances increased non-linearly with increasing sedentary time for total participants (P for non-linearity < 0.001). After adjusting for all covariates, the RCS results revealed that the risk of sleep disturbances increased non-linearly with increasing sedentary time for total participants (P for non-linearity = 0.012).

CONCLUSIONS

This study suggested that the longer sedentary time was strongly associated with the sleep disturbances. The protective effect of recreational activities on sleep disturbance, has not been significantly demonstrated.

Data Analytics in Physical Activity Studies With Accelerometers: Scoping Review

BACKGROUND

Monitoring free-living physical activity (PA) through wearable devices enables the real-time assessment of activity features associated with health outcomes and provision of treatment recommendations and adjustments. The conclusions of studies on PA and health depend crucially on reliable statistical analyses of digital data. Data analytics, however, are challenging due to the various metrics adopted for measuring PA, different aims of studies, and complex temporal variations within variables. The application, interpretation, and appropriateness of these analytical tools have yet to be summarized.

OBJECTIVE

This research aimed to review studies that used analytical methods for analyzing PA monitored by accelerometers. Specifically, this review addressed three questions: (1) What metrics are used to describe an individual's free-living daily PA? (2) What are the current analytical tools for analyzing PA data, particularly under the aims of classification, association with health outcomes, and prediction of health events? and (3) What challenges exist in the analyses, and what recommendations for future research are suggested regarding the use of statistical methods in various research tasks?

METHODS

This scoping review was conducted following an existing framework to map research studies by exploring the information about PA. Three databases, PubMed, IEEE Xplore, and the ACM Digital Library, were searched in February 2024 to identify related publications. Eligible articles were classification, association, or prediction studies involving human PA monitored through wearable accelerometers.

RESULTS

After screening 1312 articles, 428 (32.62%) eligible studies were identified and categorized into at least 1 of the following 3 thematic categories: classification (75/428, 17.5%), association (342/428, 79.9%), and prediction (32/428, 7.5%). Most articles (414/428, 96.7%) derived PA variables from 3D acceleration, rather than 1D acceleration. All eligible articles (428/428, 100%) considered PA metrics represented in the time domain, while a small fraction (16/428, 3.7%) also considered PA metrics in the frequency domain. The number of studies evaluating the influence of PA on health conditions has increased greatly. Among the studies in our review, regression-type models were the most prevalent (373/428, 87.1%). The machine learning approach for classification research is also gaining popularity (32/75, 43%). In addition to summary statistics of PA, several recent studies used tools to incorporate PA trajectories and account for temporal patterns, including longitudinal data analysis with repeated PA measurements and functional data analysis with PA as a continuum for time-varying association (68/428, 15.9%).

CONCLUSIONS

Summary metrics can quickly provide descriptions of the strength, frequency, and duration of individuals' overall PA. When the distribution and profile of PA need to be evaluated or detected, considering PA metrics as longitudinal or functional data can provide detailed information and improve the understanding of the role PA plays in health. Depending on the research goal, appropriate analytical tools can ensure the reliability of the scientific findings.

Improving Movement Behavior in People after Stroke with the RISE Intervention: A Randomized Multiple Baseline Study

Objective: High amounts of sedentary behavior increase the risk of cardiovascular disease. This study aimed to determine the preliminary effectiveness and feasibility of the RISE intervention to support community-dwelling people with stroke, who are highly sedentary, to reduce and interrupt sedentary time. Additionally, the added value of including participatory support was determined. Methods: A randomized, multiple-baseline study was conducted including 14 participants. All received the RISE intervention, a 15-week blended behavioral intervention in which a primary care physiotherapist provided personalized coaching in the home setting by using behavior-change techniques and the RISE eCoaching system, including an activity monitor and app to provide real time feedback. Half of the participants (randomly allocated) received participatory support from someone from their social network (e.g., partner or close friend) who joined them in the intervention. Preliminary effectiveness was determined with significant changes in total sedentary time and fragmentation (interruption) of sedentary time using a randomization test. Feasibility was assessed by adherence with the intervention protocol, safety, and satisfaction with the intervention. Results: Participants significantly reduced total sedentary time (p = 0.01) by 1.3 h on average and increased their fragmentation (p < 0.01). Subgroup analyses showed significant improvements in both outcomes only in the group with participatory support. Thirteen (92.9%) participants completed the intervention, no related adverse events occurred, and the reported participant satisfaction was sufficient. Conclusions: The RISE intervention appears promising to support people with stroke who are highly sedentary to reduce and interrupt their sedentary time. Participatory support appears to contribute to greater results. Trial registration: ISRCTN international trial registry, 10694741.

Post-discharge sedentary behavior and light-intensity physical activity-associated stroke recurrence in patients with minor ischemic stroke: A preliminary retrospective observational study

BACKGROUND AND PURPOSE

Evidence regarding whether reducing sedentary behavior and increasing physical activity levels to prevent stroke recurrence is insufficient. Therefore, this study preliminarily investigated whether post-discharge sedentary behavior and physical activity levels in patients with minor ischemic stroke were associated with stroke recurrence.

METHODS

This retrospective observational study included 73 patients (aged 72.0 years) with minor ischemic stroke from a previous study. The outcome was recurrent stroke 2 years after stroke onset, assessed using medical records. Exposure factors including sedentary behavior and physical activity levels 6 months post-discharge were measured using accelerometers; patients were classified into the recurrence or non-recurrence groups. Logistic regression analyses were then conducted to determine whether sedentary behavior and physical activity 6 months after discharge were associated with stroke recurrence.

RESULTS

Six patients experienced stroke recurrence (recurrence rate, 8.2%). The recurrence group showed greater sedentary behavior (recurrence group 68.0%, non-recurrence group 52.0%, p = 0.007) and less light-intensity physical activity (LPA) (recurrence group 21.0%, non-recurrence group 37.0%, p = 0.002) than in the non-recurrence group. Logistic regression analysis showed that sedentary behavior (odds ratio = 1.083, 95% confidence interval = 1.007-1.165, p = 0.032) and LPA (odds ratio = 0.874, 95% confidence interval = 0.785-0.975, p = 0.015) were independent factors for recurrence of stroke.

DISCUSSION

Post-discharge sedentary behavior and LPA in patients with minor ischemic stroke were associated with stroke recurrence. Results suggest that reducing post-discharge sedentary behavior and increasing LPA may be crucial for reducing the risk of stroke recurrence in patients with minor ischemic stroke.

Accelerometer-Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank

BACKGROUND

The goal was to compare patterns of physical activity (PA) behaviors (sedentary behavior [SB], light PA, moderate-to-vigorous PA [MVPA], and sleep) measured via accelerometers for 7 days between patients with incident cerebrovascular disease (CeVD) (n=2141) and controls (n=73 938).

METHODS AND RESULTS

In multivariate models, cases spent 3.7% less time in MVPA (incidence rate ratio [IRR], 0.963 [95% CI, 0.929-0.998]) and 1.0% more time in SB (IRR, 1.010 [95% CI, 1.001-1.018]). Between 12 and 24 months before diagnosis, cases spent more time in SB (IRR, 1.028 [95% CI, 1.001-1.057]). Within the year before diagnosis, cases spent less time in MVPA (IRR, 0.861 [95% CI, 0.771-0.964]). Although SB time was not associated with CeVD risk, MVPA time, both total min/d (hazard ratio [HR], 0.998 [95% CI, 0.997-0.999]) and guideline threshold adherence (≥150 min/wk) (HR, 0.909 [95% CI, 0.827-0.998]), was associated with decreased CeVD risk. Comorbid burden had a significant partial mediation effect on the relationship between MVPA and CeVD. Cases slept more during 12:00 to 17:59 hours (IRR, 1.091 [95% CI, 1.002-1.191]) but less during 0:00 to 5:59 hours (IRR, 0.984 [95% CI, 0.977-0.992]). No between-group differences were significant at subgroup analysis.

CONCLUSIONS

Daily behavior patterns were significantly different in patients before CeVD. Although SB was not associated with CeVD risk, the association between MVPA and CeVD risk is partially mediated by comorbid burden. This study has implications for understanding observable behavior patterns in cerebrovascular dysfunction and may help in developing remote monitoring strategies to prevent or reduce cerebrovascular decline.

Sedentary behavior patterns and bone health among overweight/obesity older women: a cross-sectional study

Background

Recent studies have indicated an association between sedentary behavior (SB), particularly patterns of SB, and bone health. However, it remains uncertain how different patterns of SB in overweight/obesity older women impact their bone health. This study aimed to investigate the association between objectively measured SB patterns and bone health in Chinese community-dwelling overweight/obesity older women.

Methods

Cross-sectional data were obtained from a baseline survey of Physical Activity and Health in Older Women Study. Quantitative ultrasound was used to measure speed of sound (SOS), broadband ultrasound attenuation (BUA), bone quality index (BQI) and T value to evaluate bone health. SB patterns were measured using triaxial accelerometers, including sedentary time in SB bouts of ≥ 10, 30, and 60 min, number of SB bouts ≥ 10, 30, and 60 min. Multiple linear regression was used to examine the associations of different SB patterns with bone health.

Results

After adjusting for confounders, sedentary time in SB bouts ≥ 60 min, number of SB bouts ≥ 60 min were significantly associated with bone health, with a lower SOS [β = -2.75, 95% confidence interval (CI): -4.96 to -0.53, P = 0.015], BUA (β = -1.20, 95% CI: -2.14 to -0.26, P = 0.013), BQI (β = -1.56, 95% CI: -2.63 to -0.49, P = 0.004), T value (β = -0.08, 95% CI: -0.14 to -0.03, P = 0.004) per 60 min increase of sedentary time in SB bouts ≥ 60 min, and a lower SOS (β = -3.97, 95% CI: -7.54 to -0.40, P = 0.029), BUA (β = -1.80, 95% CI: -3.44 to -0.16, P = 0.031), BQI (β = -2.28, 95% CI: -4.08 to -0.47, P = 0.014) and T value (β = -0.12, 95% CI: -0.22 to -0.03, P = 0.013) per bout increase of SB bouts ≥ 60 min, respectively.

Conclusion

Limiting the duration of prolonged sedentary bouts and minimizing the occurrence of number of SB bouts ≥ 60 min could be essential in bone health management, especially for those older people who are overweight/obesity.

Risk of stroke with different levels of leisure-time physical activity: a systematic review and meta-analysis of prospective cohort studies

BACKGROUND

Leisure-time physical activity (LTPA) protects against vascular diseases. Whether and to what extent different levels of LTPA, including lower ones, benefit stroke prevention is still unclear.

METHODS

We searched prospective cohort studies, indexed on PubMed and Scopus, published in English up to 22 April 2023, that investigated, in a general healthy population, the relationship between different predefined LTPA levels, compared with inactivity, and the risk of any type of stroke. We applied random effect modelling for meta-analyses and meta-regression to control for the impact of age and sex.

RESULTS

Out of 3064 screened articles, 15 articles on 16 cohorts of subjects were included in meta-analyses, with a total of 752 050 followed-up subjects. Mean follow-up was 125.7±77.5 months. Included studies identified three (none, below target and ideal) to five (none, insufficient, low, moderate and intense) levels of LTPA. In the five studies identifying three levels of LTPA, compared with no LTPA, below target (risk ratio (RR)=0.82, 95% CI=0.75 to 0.88) and ideal LTPA significantly reduced stroke risk (RR=0.71, 95% CI=0.58 to 0.86).Lower levels of LTPA also mitigated stroke risk in studies reporting on four (n=6; RR=0.73, 95% CI=0.62 to 0.87 favouring moderate LTPA over no LTPA) and five levels (n=2; RR=0.71, 95% CI=0.58 to 0.88 favouring moderate LTPA over no LTPA). The benefits of LTPA were independent of age and sex.

CONCLUSIONS

According to our results, all levels of LTPA can be beneficial for stroke prevention, including levels currently regarded as low or insufficient. People should be encouraged to be physically active even at the lowest levels.

PROSPERO REGISTRATION NUMBER

CRD42023425302.

Domain-Specific Physical Activity and Stroke in Sweden

Importance

Associations of domain-specific physical activity with stroke incidence and poststroke outcomes have not been extensively studied using long-term, population-based data.

Objective

To investigate associations of leisure time, work time, transport, and household physical activity with stroke incidence and death or dependency in activities of daily living (ADL) 3 months after stroke.

Design, Setting, and Participants

The prospective, population-based Interplay Between Genetic Susceptibility and External Factors (INTERGENE) cohort study was conducted among a random sample of individuals from an urban-rural area covering western Sweden; 3614 individuals aged 24 to 77 years were examined in 2001 to 2004, and 1394 individuals were reexamined in 2014 to 2016. The median (range) follow-up was 20.0 years (56 days to 21.9 years). Data were analyzed from September through October 2023.

Exposure

Physical activity levels were self-reported for leisure time, work time, transportation, and household domains. The mean number of steps taken over a 6-day period was collected in a subgroup of participants using a sealed pedometer.

Main Outcomes and Measures

Follow-up for stroke incidence and mortality rates continued until December 31, 2022. The composite outcome of death or ADL dependency was assessed at 3 months after stroke.

Results

Among 3614 individuals (mean [SD] age, 51.4 [13.1] years; 1910 female [52.9%]); 269 individuals (7.4%) developed stroke, of whom 120 individuals (44.6%) were dead or ADL dependent at 3 months. Intermediate (adjusted hazard ratio [aHR], 0.54; 95% CI, 0.38-0.77) and high (aHR, 0.47; 95% CI, 0.31-0.73) levels of leisure time physical activity were associated with a reduced incidence of stroke compared with low levels, as was an intermediate level of physical activity in transportation (aHR, 0.69; 95% CI, 0.52-0.93). High levels of leisure time physical activity were also associated with a reduced risk of poststroke death or ADL dependency (adjusted odds ratio, 0.34; 95% CI, 0.16-0.71) compared with low levels. Work time and household physical activity were not associated with stroke incidence or stroke outcomes. In exploratory subgroup analyses, there were interactions between physical activity and smoking (current smoking or smoking in the past year associated with stroke risk only in participants with low or intermediate physical activity: aHR, 2.33; 95% CI, 1.72-3.15) and family history of stroke (first-degree relative with a history of stroke associated with stroke risk only in participants with low or intermediate physical activity: aHR, 1.73; 95% CI, 1.27-2.38).

Conclusions and Relevance

In this study, leisure time and transport-related physical activities were associated with a reduced risk of stroke. A high level of leisure time physical activity was also associated with a lower risk of death or ADL dependency 3 months after stroke.

Physical Activity, Mental Activity, and Risk of Incident Stroke: A Prospective Cohort Study

BACKGROUND

Cumulative evidence suggests a correlation between physical or mental activity and the risk of stroke. However, the combined impact of these activities on stroke onset remains unexplored. This study identified physical and mental activity patterns using principal component analysis and investigated their associations with risk of incident stroke in the general population.

METHODS

Our study was sourced from the UK Biobank cohort between 2006 and 2010. Information on physical and mental-related activities were obtained through a touch-screen questionnaire. The incident stroke was diagnosed by physicians and subsequently verified through linkage to Hospital Episode Statistics. Principal component analysis was used to identify potential physical and mental activity patterns. Cox proportional hazard regression models were performed to calculate hazard ratios (HRs) and 95% CIs of incident stroke, adjusting for potential confounders.

RESULTS

The initial UK Biobank cohort originally consisted of 502 411 individuals, of whom a total of 386 902 participants (aged 38-79 years) without any history of stroke at baseline were included in our study. During a median follow-up of 7.7 years, 6983 (1.8%) cases of stroke were documented. The mean age of the included participants was 55.9 years, and the proportion of women was 55.1%. We found that multiple individual items related to physical and mental activity showed significant associations with risk of stroke. We identified 4 patterns of physical activity and 3 patterns of mental activity using principal component analysis. The adherence to activity patterns of vigorous exercise, housework, and walking predominant patterns were associated with a lower risk of stroke by 17% (HR, 0.83 [95% CI, 0.78-0.89]; 20% (HR, 0.80 [95% CI, 0.75-0.85]; and 20% (HR, 0.80 [95% CI, 0.75-0.86), respectively. Additionally, the transportation predominant pattern (HR, 1.36 [95% CI, 1.28-1.45) and watching TV pattern (HR, 1.43 [95% CI, 1.33-1.53) were found to be significantly associated with a higher risk of stroke. These associations remained consistent across all subtypes of stroke.

CONCLUSIONS

Activity patterns mainly related to frequent vigorous exercise, housework, and walking were associated with lower risks of stroke and all its subtypes. Our findings provide new insights for promoting suitable patterns of physical and mental activity for primary prevention of stroke.

Impact of automated data flow and reminders on adherence and resource utilization for remotely monitoring physical activity in individuals with stroke or chronic obstructive pulmonary disease

As rehabilitation advances into the era of digital health, remote monitoring of physical activity via wearable devices has the potential to change how we provide care. However, uncertainties about patient adherence and the significant resource requirements needed create challenges to adoption of remote monitoring into clinical care. Here we aim to determine the impact of a novel digital application to overcome these barriers. The Rehabilitation Remote Monitoring Application (RRMA) automatically extracts data about physical activity collected via a Fitbit device, screens the data for adherence, and contacts the participant if adherence is low. We compare adherence and estimate the resources required (i.e., time and financial) to perform remote monitoring of physical activity with and without the RRMA in two patient groups. Seventy-three individuals with stroke or chronic obstructive pulmonary disease completed 28 days of monitoring physical activity with the RRMA, while 62 individuals completed 28 days with the data flow processes being completed manually. Adherence (i.e., the average percentage of the day that the device was worn) was similar between groups (p=0.85). However, the RRMA saved an estimated 123.8 minutes or $50.24 per participant month when compared to manual processes. These results demonstrate that automated technologies like the RRMA can maintain patient adherence to remote monitoring of physical activity while reducing the time and financial resources needed. Applications like the RRMA can facilitate the adoption of remote monitoring in rehabilitation by reducing barriers related to adherence and resource requirements.

Association of accelerometer-measured sleep duration and different intensities of physical activity with incident type 2 diabetes in a population-based cohort study

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.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Risk of metabolic syndrome among law enforcement officers due to physical activity and posture behaviors

BACKGROUND

There are limited data on objectively measured activity and postural behaviors of law enforcement officers (LEOs) in relation to risk of metabolic syndrome (MetS).

OBJECTIVES

To examine the associations between objectively measured activity and postural behaviors and MetS risk among LEOs.

METHODS

Thirty-one LEOs, mean (SD) age 33 (10) years, participated in the study. LEOs had their metabolic risk factors measured using blood samples after fasting for at least 10 hours prior to testing. Participants wore activity-monitoring devices for 7 consecutive days during on-duty and off-duty shifts. Eighteen participants adhered to wearing the devices. Descriptive statistics were used to determine means for all MetS risk factors; time in intensity-specific physical activity behaviors; and time in various postural shifts. Correlation analyses were employed to examine relationships between activity behaviors, postures, and MetS risk factors.

RESULTS

Over half (51.6%; n = 16) of the participants had 2 or more positive MetS risk factors. Mean (SD) on-duty sedentary behavior was 273 (59) minutes compared with off-duty sedentary behavior of 401 (146) minutes. Mean on-duty moderate-intensity activity was 236 (40) minutes compared with off-duty moderate-intensity activity of 305 (80) minutes. Average on-duty sitting time was 435 (69) minutes compared with off-duty sitting time of 528 (142) minutes. Average on-duty standing time was 116 (43) minutes compared with off-duty standing time of 171 (51) minutes. There were negative correlations between on-duty sedentary activity and Systolic Blood Pressure (r = -0.48) and Diastolic Blood Pressure (r = -0.48), respectively.

CONCLUSIONS

Law enforcement officers have unfavorable activity and postural behaviors during a typical day regardless of working status and may be at risk for developing MetS.

Better Mobility Is Associated With Higher Incomes and Longer Working Years Among Older Adults

BACKGROUND

Robust physical mobility is the key to healthy independent aging. Although the association between socioeconomic status and health is well documented, it is unclear whether there is a relationship between mobility and income, because income data are not readily available.

QUESTIONS/PURPOSES

(1) Do individuals with better mobility have higher incomes? (2) Does maintaining mobility over time allow individuals to keep working? (3) Is exercise associated with higher mobility over time?

METHODS

We obtained longitudinal income and health data from the nationally representative Health and Retirement Study. Three cohorts were used. First, we studied the relationship between household income and mobility (on a 6-point index of walking impairment) in 19,430 adults who were assessed in 2016 (representing 93% of the 20,805-person total cohort). We measured the association of mobility and household income in a multivariate linear regression analysis of age, gender, health conditions, and education. We then identified a second group of 1094 individuals with unrestricted mobility in the year 2000 and compared differences in income and working rates between those who maintained mobility and those who lost mobility after 10 years. Finally, we identified a third group of 7063 individuals who were 60 to 80 years old in 2012, divided the group by how often they engaged in exercise, and observed differences in mobility after 4 years.

RESULTS

After adjusting for covariates, a drop of one level of mobility was associated with a USD 3410 reduction in annual household income (95% CI USD 2890 to USD 3920; p < 0.001). After 10 years, individuals who maintained their mobility had incomes that were USD 6500 higher than that of individuals who were not working (95% CI USD 2300 to USD 10,300; p < 0.001) and were more likely to be working (40% versus 34.5%; p < 0.001). Exercising at least once per week was associated with better mobility 4 years later (mobility score 4.46 ± 0.08 versus 3.66 ± 0.08; p < 0.001).

CONCLUSION

Better mobility was associated with more than USD 3000 in annual income. Regular exercise and other interventions that improve mobility may have meaningful returns on investment.

CLINICAL RELEVANCE

Because greater mobility is strongly associated with higher income, orthopaedic interventions may be undervalued.

Reduced physical activity level was associated with poorer quality of life during the early phase of the COVID-19 pandemic: a sub-study of the last-long trial

OBJECTIVES

To assess how physical activity levels changed in a stroke cohort during the COVID-19 (SARS-CoV-2) pandemic, and how these changes were associated with quality of life (QoL).

METHODS

Between March and July 2021, 150 patients with stroke already included in the Life after Stroke (LAST-long) trial in Norway were invited to participate in this cross-sectional survey. Participants were asked to complete a questionnaire assessing changes in physical activity and self-reported health following the pandemic. Univariate and multivariate logistic regression analyses were used to explore the association between physical activity, loneliness, mental health, social activity and QoL.

RESULTS

In all, 118 (79%) participants completed the questionnaire. A total of 80 (68%) reported less physical activity, 46 (39%) felt lonelier, and 43 (37%) reported worse mental health, while 50 (42%) reported reduced QoL compared with before the lockdown. In the univariate analyses less physical activity, feeling lonelier and changes in mental health were associated with reduced QoL. In the multivariate analysis only less physical activity odds ratio (OR) = 4.04 (95% confidence interval (95% CI) 1.44-11.34, p = 0.008) was significantly associated with reduced QoL.

CONCLUSION

More than two-thirds of patients with stroke reported reduced physical activity during the COVID-19 pandemic, and less physical activity was strongly associated with reduced QoL.

Association of accelerometer-measured physical activity intensity, sedentary time, and exercise time with incident Parkinson's disease

Evidence regarding the association between physical activity and Parkinson's disease (PD) risk is generally limited due to the use of self-report questionnaires. We aimed to quantify the separate and combined effects of accelerometer-measured light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), sedentary time and exercise timing with incident PD. 96,422 participants without prior PD and with usable accelerometer data were included from UK Biobank. Time spent in sedentary activity, LPA, MVPA, and exercise timing were estimated using machine learning models. The study outcome was incident PD. Over a median follow-up duration of 6.8 years, 313 participants developed PD. There was a L-shaped association for LPA and MVPA, and a reversed L-shaped association for sedentary time, with the risk of incident PD (all P for nonlinearity < 0.001). Similar trends were found across three time-windows (morning, midday-afternoon, and evening). Compared with those with both low LPA (<3.89 h/day) and low MVPA (<0.27 h/day), the adjusted HR (95% CI) of PD risk was 0.49 (0.36-0.66), 0.19 (0.36-0.66) and 0.13 (0.09-0.18), respectively, for participants with high MVPA only, high LPA only, and both high LPA and high MVPA. Moreover, participants with both low LPA and high sedentary time (≥9.41 h/day) (adjusted HR, 5.59; 95% CI: 4.10-7.61), and those with both low MVPA and high sedentary time (adjusted HR, 3.93; 95% CI: 2.82-5.49) had the highest risk of incident PD. In conclusion, regardless of exercise timing (morning, midday-afternoon, and evening), there was an inverse association for accelerometer-measured MVPA and LPA, and a positive association for sedentary time, with incident PD.

Trends in deaths and disability-adjusted life-years of stroke attributable to low physical activity worldwide, 1990-2019

BACKGROUND

Low physical activity (LPA) is linked to the risk of stroke, but the disease burden of stroke attributable to LPA needs to be understood to develop effective preventive strategies. We aim to assess spatiotemporal trends in the global burden of stroke attributable to LPA from 1990 to 2019.

METHODS

Based on the Global Burden of Disease, Injuries, and Risk Factors Study, our research examined deaths, the Disability-Adjusted Life Years (DALYs), the Age-Standardized Mortality Rate (ASMR), the Age-Standardized DALY Rate (ASDR), and the Estimated Annual Percentage Change (EAPC) for stroke attributable to LPA.

RESULTS

Deaths and DALYs were on the rise worldwide from 1990 to 2019, with increases of 72.72% for the former and 67.41% for the latter; ASMR and ASDR decreased, with the ASMR-related EAPC of -1.61 (95% CI:-1.71--1.5) and ASDR-related EAPC of -1.35 (95% CI:-1.43--1.27); females had more numbers of deaths and DALYs, and the majorities of deaths and DALYs were shared by those aged ≥ 70. The highest burden rates were shared by North Africa, the Middle East, and Tropical Latin America; the ASMR-related EAPC was associated with the ASMR in 1990 (R = -0.26, P < 0.001) and the Socio-Demographic Index (SDI) across different countries in 2019 (R = -0.61, P < 0.001), respectively, and such patterns were similar to what ASDR and the ASDR-related EAPC had; the Human Development Index (HDI) in 2019 was associated with the ASMR-related EAPC (R = 0.63, P < 0.001) and the ASDR-related EAPC across different countries (R = -0.62, P < 0.001), respectively.

CONCLUSIONS

Globally, deaths and DALYs of stroke attributable to LPA were on the rise, although their age-standardized rates presented downward over the past three decades; the burden of stroke attributable to LPA showed upward trends especially in those aged ≥ 70 and females in the regions of East Asia, North Africa, and the Middle East, which need more attention to the effects of physical activity on health interventions.

Association of Accelerometer-Measured Sedentary Time and Physical Activity with Arterial Stiffness and Vascular Aging in the General Spanish Population, Analyzed by Sex

Background

In this study we analyzed the association between physical activity and sedentary lifestyle with vascular aging in Spanish populations aged 35-75 years.

Methods

A cross-sectional study was developed, in which 501 subjects aged 35-75 years were recruited. Physical activity and sedentary time were measured with an accelerometer (Actigraph GTX3) for a week. We measured carotid-femoral pulse wave velocity (cfPWV) by a Sphygmo Cor® device and carotid intima-media thickness (cIMT) by ultrasound (Sonosite Micromax®). The vascular aging index (VAI) was calculated as described in the literature. Vascular aging was defined considering the 25th and 75th percentiles by age and sex of cfPWV and VAI, presence of vascular injury, type-2 diabetes mellitus or arterial hypertension. Individuals were classified into three groups: healthy, normal, and early vascular aging.

Results

The mean age of the sample was 55.90 ± 14.24 years, 50% being women. Total physical activity was negatively associated with cfPWV ( β = -0.454) and VAI ( β = -1.845). Similarly, the number of steps per day obtained a negative association with cfPWV ( β = -0.052) and VAI ( β = -0.216), while sedentary time showed a positive association with cfPWV ( β = 0.028) and VAI ( β = 0.117). In the analysis by sex, the results showed similar values. The odds ratio (OR) of total physical activity of subjects classified as early vascular aging (EVA) with regarding those classified as healthy vascular aging (HVA) was 0.521 (95% confidence interval [CI] 0.317 to 0.856) for cfPWV, and 0.565 (95% CI 0.324 to 0.986) for VAI. In terms of the number of steps per day, the OR was 0.931 (95% CI 0.875 to 0.992) for cfPWV and 0.916 (95% CI 0.847 to 0.990) for VAI and for sedentary time the OR was 1.042 (95% CI 1.011 to 1.073) for cfPWV and 1.037 (95% CI 1.003 to 1.072) for VAI. The OR of subjects classified as vigorous physical activity was 0.196 (95% CI 0.041 to 0.941) using cfPWV and 0.161 (95% CI 0.032 to 0.820) using VAI. In the analysis by sex, the results showed an association in men when cfPWV was used and an association in women when VAI was used to define vascular aging.

Conclusions

The results of this study indicate that the more time spent performing physical activity and the less sedentary time, the lower the arterial stiffness and the probability of developing early vascular aging.

Clinical Trial Registration

The study was registered in ClinicalTrials.gov (number: NCT02623894).

Sedentary behavior patterns and the risk of non-communicable diseases and all-cause mortality: A systematic review and meta-analysis

BACKGROUND

The association between sedentary behavior and health-related outcomes has been well established, whereas it is inconclusive whether a sedentary behavior pattern is an additional risk factor for health-related outcomes independent of total sedentary time and physical activity.

OBJECTIVES

To determine sedentary behavior patterns and their association with risks of noncommunicable diseases and all-cause mortality and to assess whether this association is independent of total sedentary time and physical activity.

DESIGN

This was a systematic review and meta-analysis.

METHODS

Studies were obtained by searching the Web of Science Core Collection, PubMed/Medline, the Cochrane Library, Embase, CINAHL, and SPORTDiscus up to April 2023. All observational studies published in English or Chinese were included if they explored sedentary behavior patterns and their association with risks of abdominal obesity, metabolic syndrome, diabetes, cardiovascular disease, cancer, and all-cause mortality among individuals who had never experienced the outcome event before the baseline assessment. Data extraction using a standardized form and quality appraisal using two authoritative tools were then performed. All these steps were completed by two independent reviewers from December 2022 to May 2023. If data were sufficiently homogenous, meta-analyses were performed; otherwise, narrative syntheses were employed. Harvest plots were also used to visually represent the distribution of evidence.

RESULTS

Eighteen studies comprising 11 prospective cohort studies and seven cross-sectional studies were included. The findings suggested that prolonged sedentary time and usual sedentary bout duration were two metrics that reflected the nonlinear dose-response effect of prolonged sedentary behavior patterns. Only extremely high levels of prolonged sedentary behavior patterns significantly increased the risk of adverse health outcomes, independent of physical activity. Whether prolonged sitting was an additional risk factor for adverse health outcomes, independent of total sedentary time, was inconclusive due to an insufficient number of primary studies that included total sedentary time as one of the potential covariates. There was some evidence that supported a sedentary bout that significantly increased the risk of adverse health outcomes was 30-60 min. The threshold of prolonged sedentary time differed with outcomes, and future studies are needed to make this threshold more precise.

CONCLUSION

A prolonged sedentary behavior pattern was associated with increased risks of several major noncommunicable diseases and all-cause mortality. People, especially those who do not reach the recommended level of moderate-to-vigorous physical activity, are encouraged to interrupt sedentary bouts every 30 to 60 min and limit prolonged sedentary time per day as much as possible.

TWEETABLE ABSTRACT

Breaking up consecutive sedentary bouts >30 to 60 min and substituting them with brief bouts of physical activity.

The Impact of Light Physical Activity, Sedentary Behavior and Cardiorespiratory Fitness in Extending Lifespan and Healthspan Outcomes: How Little is Still Significant? A Narrative Review

To describe the relationship between mortality and measures of low intensity physical activity (LIPA) as well as sedentary behavior (SB), and cardiorespiratory fitness (CRF). Study selection was performed through multiple database searches from January 1, 2000 until May 1, 2023. Seven LIPA studies, 9 SB studies, and 8 studies CRF studies were selected for primary analysis. LIPA and non-SB follow a reverse J shaped curve with mortality. The greatest benefits occur initially, and the rate of mortality reduction slows with increasing physical activity. Increasing CRF reduces mortality although the dose response curve is uncertain. For special populations such as individuals with, or at high risk of developing cardiovascular disease the benefit from exercise is heightened. LIPA, decreased SB and higher CRF lead to reductions in mortality and improved quality of life. Individualized counseling on the benefits of any amount of physical activity may increase compliance and serve as a starting point for lifestyle modifications.

Sedentary Behavior Impacts on the Epigenome and Transcriptome: Lessons from Muscle Inactivation in Drosophila Larvae

The biological mechanisms linking sedentary lifestyles and metabolic derangements are incompletely understood. In this study, temporal muscle inactivation in Drosophila larvae carrying a temperature-sensitive mutation in the shibire (shi1) gene was induced to mimic sedentary behavior during early life and study its transcriptional outcome. Our findings indicated a significant change in the epigenetic profile, as well as the genomic profile, of RNA Pol II binding in the inactive muscles relative to control, within a relatively short time period. Whole-genome analysis of RNA-Pol II binding to DNA by muscle-specific targeted DamID (TaDa) protocol revealed that muscle inactivity altered Pol II binding in 121 out of 2010 genes (6%), with a three-fold enrichment of genes coding for lncRNAs. The suppressed protein-coding genes included genes associated with longevity, DNA repair, muscle function, and ubiquitin-dependent proteostasis. Moreover, inducing muscle inactivation exerted a multi-level impact upon chromatin modifications, triggering an altered epigenetic balance of active versus inactive marks. The downregulated genes in the inactive muscles included genes essential for muscle structure and function, carbohydrate metabolism, longevity, and others. Given the multiple analogous genes in Drosophila for many human genes, extrapolating our findings to humans may hold promise for establishing a molecular link between sedentary behavior and metabolic diseases.

New principles, the benefits, and practices for fostering a physically active lifestyle

The modern environment has led to an increased risk and incidence of sedentary lifestyles. When physical activity (PA) becomes insufficient, pathophysiological pathways are invoked and the future risk for chronic diseases and premature mortality increases. As a consequence, since the 1970s governmental agencies and medical societies have published guidelines to promote PA. The 2018 Guidelines for Physical Activity for Americans contain important updated guidelines, but many of these guidelines are not yet sufficiently known by the public or health providers. In addition, to make use of these guidelines, they need to be integrated with optimal behavioral interventions. Accordingly, this narrative review critically assesses five tenets that stem from the 2018 Guidelines and illustrates how these tenets can be integrated with tools and techniques for motivating individuals to initiate and maintain a more physically active lifestyle. The first tenet indicates that there is no lower threshold of PA that must be obtained before health benefits begin to accrue. Second, it is no longer required that PA be obtained in bouts of 10 min or more to "count". Bouts of lesser duration also count. Pending further study, new accelerometry data suggest that vigorous intermittent PA of just 1-2 min may also benefit health, such as that acquired by stair climbing or carrying heavy groceries. This has led to a new concept of promoting "lifestyle physical activity". Third, excessive sitting is health damaging if it is not accompanied by sufficient daily life PA or accrues over long uninterrupted bouts. Fourth, it is essential to incorporate resistance exercises for optimal health and to promote successful aging. Fifth, a wealth of new evidence indicates that PA strongly protects and promotes all aspects of brain health and may improve cognition even after a single bout of exercise.

Association of Accelerometer-Measured Physical Activity and Sedentary Behavior With Incident Cardiovascular Disease, Myocardial Infarction, and Ischemic Stroke: The Women's Health Study

Background Few studies have investigated associations of acclerometer-based assessments of physical activity (PA) and sedentary behavior (SB) with incidence of cardiovascular disease (CVD) and its components. This prospective cohort study assessed the associations of accelerometer-measured PA and SB with total CVD, myocardial infarction, and ischemic stroke (IS). Methods and Results The authors included 16 031 women aged 62 years and older, free of CVD, with adherent accelerometer wear (≥10 hours/day for ≥4 days) from the Women's Health Study (mean age, 71.4 years [SD, 5.6 years]). Hip-worn ActiGraph GT3X+ accelerometers measured total volume of PA (total average daily vector magnitude), minutes per day of high-light PA and moderate to vigorous PA (MVPA), and SB. Women reported diagnoses of CVD, which were adjudicated using medical records and death certificates. Hazard ratios (HRs) were estimated for each exposure, and 95% CIs using Cox proportional hazards models were adjusted for accelerometer wear time, age, self-reported general health, postmenopausal hormone therapy, smoking status, and alcohol use. The hypothetical effect of replacing 10 minutes/day of SB or high-light PA with MVPA on CVD incidence was assessed using adjusted isotemporal substitution Cox models. Over a mean of 7.1 years (SD, 1.6 years) of follow-up, 482 total CVD cases, 107 myocardial infarction cases, and 181 IS cases were diagnosed. Compared with the lowest quartiles of total average daily vector magnitude and MVPA (≤60 minutes), women who were in the highest quartiles (>120 minutes of MVPA) had a 43% (95% CI, 24%-58%) and 38% (95% CI, 18%-54%) lower hazard of total CVD, respectively. Estimates were similar for total average daily vector magnitude and MVPA with IS, but PA was not associated with myocardial infarction overall. High-light PA was not associated with any CVD outcomes. Women who spent <7.4 hours sedentary per day had a 33% (95% CI, 11%-49%) lower hazard of total CVD compared with those who spent ≥9.5 hours sedentary. Replacing 10 minutes of SB with MVPA was associated with a 4% lower incidence of total CVD (HR, 0.96 [95% CI, 0.93-0.99]). Conclusions Accelerometer-assessed total PA and MVPA were inversely associated with total CVD and IS incidence, and SB was directly associated with total CVD; high-light PA was not related to CVD.

The critical issue linking lipids and inflammation: Clinical utility of stopping oxidative stress

The formation of an atheroma begins when lipoproteins become trapped in the intima. Entrapped lipoproteins become oxidized and activate the innate immune system. This immunity represents the primary association between lipids and inflammation. When the trapping continues, the link between lipids and inflammation becomes chronic and detrimental, resulting in atherosclerosis. When entrapment ceases, the association between lipids and inflammation is temporary and healthy, and the atherogenic process halts. Therefore, the link between lipids and inflammation depends upon lipoprotein retention in the intima. The entrapment is due to electrostatic forces uniting apolipoprotein B to polysaccharide chains on intimal proteoglycans. The genetic transformation of contractile smooth muscle cells in the media into migratory secretory smooth muscle cells produces the intimal proteoglycans. The protein, platelet-derived growth factor produced by activated platelets, is the primary stimulus for this genetic change. Oxidative stress is the main stimulus to activate platelets. Therefore, minimizing oxidative stress would significantly reduce the retention of lipoproteins. Less entrapment decreases the association between lipids and inflammation. More importantly, it would halt atherogenesis. This review will analyze oxidative stress as the critical link between lipids, inflammation, and the pathogenesis of atherosclerosis. Through this perspective, we will discuss stopping oxidative stress to disrupt a harmful association between lipids and inflammation. Numerous therapeutic options will be discussed to mitigate oxidative stress. This paper will add a new meaning to the Morse code distress signal SOS-stopping oxidative stress.

Screen-based sedentary behaviors but not total sedentary time are associated with anxiety among college students

Objective

The purpose of the study was to investigate the associations of device-measured total sedentary time and screen-based sedentary time with anxiety in college students.

Methods

Three hundred and twenty-one college students (mean age = 19.72 ± 1.18, 55.8% females) were recruited from Shanghai, China. Total sedentary time was objectively measured using accelerometry, while screen-based sedentary time was self-reported. Anxiety symptom was evaluated using the Self-Rating Anxiety Scale. Linear regression modeling was used to assess the associations of total sedentary time and screen-based sedentary time with anxiety symptom.

Results

Accelerometer-assessed total sedentary time was not associated with anxiety symptom. Prolonged sedentary time on TV and movie viewing (>2 h on weekdays) and social media using (>2 h on weekdays and weekend) were associated with a higher level of anxiety. However, time on video gaming and recreational reading was not associated with anxiety symptom.

Conclusion

The findings indicated that screen-based sedentary behaviors but not total sedentary time were associated with anxiety symptom among college students. The associations of screen-based sedentary behaviors with anxiety symptom varied by the types of screen time.