Objectively Measured Physical Activity, Sedentary Behavior, and Metabolic Syndrome in Adults: Systematic Review of Observational Evidence

At-Home Immersive Virtual Reality Exergames to Reduce Cardiometabolic Risk Among Office Workers: Protocol for a Randomized Controlled Trial

BACKGROUND

The worldwide rise in the prevalence of noncommunicable diseases has increased the recognition of the need to identify modifiable risk factors for preventing and managing these diseases. The office worker, as a representative group of physically inactive workers, is exposed to risk factors for metabolic syndrome, which is a primary driver of noncommunicable diseases. The use of virtual reality (VR) exergames may offer a potential solution to the problem of increasing noncommunicable disease prevalence, as it can help individuals increase their physical activity levels while providing a more immersive experience.

OBJECTIVE

This exploratory study aims to examine the interventional efficacy of at-home immersive VR exergames on metabolic syndrome biomarkers among office workers. Additionally, it seeks to investigate the impacts of at-home immersive VR exergames on the active and sedentary behaviors of office workers.

METHODS

A 3-arm, single-blinded pilot randomized controlled trial will be conducted to examine the therapeutic effects of at-home immersive VR exergames. A total of 120 Chinese office workers, engaging in less than 150 minutes per week of moderate to vigorous intensity physical activity, will be recruited via a convenience sampling method. The participants, who will be tested over a 12-week period, will be randomly assigned to one of three groups: (1) the VR exergame intervention group, (2) the regular physical activity control group, and (3) the nonexercise control group. Throughout the 12-week trial, three categories of variables will be collected across the three groups: clinical risk factors associated with metabolic syndrome, active and sedentary behaviors, and demographics. To analyze variance among the groups, a mixed linear model will be applied to assess the efficacy of each group. Differences in metabolic syndrome clinical risk factors among all groups will be used to evaluate the effects of at-home immersive VR exergames. Changes in active and sedentary behaviors will also be used to determine the impacts of VR exergames on metabolic syndrome.

RESULTS

The ethics committee of Guangzhou University, China, approved this study on September 25, 2024. Participant recruitment will begin in early 2025 and continue for approximately 3 months. Data will be analyzed after the 12-week trial is completed, with full results expected to be presented in early 2026.

CONCLUSIONS

This study explores an emerging topic by applying an at-home immersive VR exergame intervention, potentially contributing to understanding the effects of an exergame program on metabolic syndrome risk among office workers.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06556784; https://clinicaltrials.gov/study/NCT06556784.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/64560.

Patterns of daily ambulatory activity and the onset of metabolic syndrome in middle-aged and older Japanese women: the Toon Health Study

BACKGROUND

This cohort study aimed to identify the accumulation patterns of objectively measured ambulatory activity (AA) variables in the middle-aged and older Japanese women and examine the relationship of these derivative patterns with onset of metabolic syndrome (MetS).

METHODS

A total of 794 women (mean age: 56.2 years) provided objectively assessed AA data using a uniaxial accelerometer. The number of steps, time accumulated in light-intensity AA (LIAA) and moderate-to-vigorous intensity AA (MVAA) and the ratio of MVAA to total AA (LIAA + MVAA) were calculated. Latent profile analysis was used to identify participant groups based on their distinct AA patterns. Logistic regression models were used to assess the association of groups with the onset of MetS after adjusting for age, sex, education, alcohol habit, smoking habit, energy intake, and the number of MetS components present at baseline.

RESULTS

Four distinct groups were identified: Group A had low levels of the AA variable; group B accumulated a certain number or more steps primarily through MVAA; group C accumulated a certain number or more steps primarily through LIAA; and group D had high level of the AA variables. Over the course of the 5-year follow-up period, 61 participants (7.7%) developed MetS. The multivariate-adjusted odds ratio (95% confidence interval) for onset of MetS in groups B, C, and D relative to group A were 0.416 (0.166-1.218), 0.451 (0.223-0.914), and 0.933 (0.365-2.382), respectively. Group C had a significantly lower odds ratio of MetS onset than group A.

CONCLUSION

AA patterns accumulating a certain number or more steps, regardless of the intensity of AA, may help reduce the risk of MetS compared to inactive AA patterns.

Associations of 24-hr Movement Behaviors With Cardiometabolic Risk Factors and Metabolic Syndrome in Adults Receiving Outpatient Rehabilitation: A Compositional Time-Use Analysis

BACKGROUND

Research suggests associations between physical activity, sedentary behavior, sleep, and metabolic syndrome, but most has focused on healthy populations and individual behaviors. We investigated associations of 24-hr movement behavior compositions with cardiometabolic risk factors and metabolic syndrome in adults receiving rehabilitation for other health conditions.

METHOD

 This cross-sectional study assessed 24-hr movement behaviors using thigh-worn accelerometers and metabolic outcomes via blood analyses in 145 adults attending outpatient rehabilitation. Regression models tested associations of five 24-hr time-use behaviors (time in bed, sedentary time, standing, light-intensity stepping, and moderate- to vigorous-intensity stepping) with cardiometabolic risk factors and metabolic syndrome severity score (a cumulative measure of risk derived from metabolic risk factors).

RESULTS

 Participants (64 [SD 12] years old; 52% women; 66% with metabolic syndrome, with 6 [SD 0.7] days of 24-hr data) spent 41% of a 24-hr day sedentary, 15% standing, 3% in light-intensity stepping, 2% in moderate- to vigorous-intensity stepping, and 38% in bed. Adjusted models indicated that a higher proportion of light-intensity stepping was associated with lower triglycerides, more time in bed was associated with a higher metabolic syndrome severity score, and more time stepping was associated with a lower metabolic syndrome severity score. There was no evidence of associations between the overall compositions and outcomes.

CONCLUSION

The consistently observed small proportions of physical activity, with lack of variation between participants, may not be sufficient to counteract the impact of high sedentary time on metabolic outcomes in adults attending outpatient rehabilitation.

IMPLICATIONS

 Future research may focus on exploring ways to increase light-intensity stepping in sedentary older adults with various health conditions.

Exercise as a Therapeutic Intervention for Chronic Disease Management: A Comprehensive Review

This comprehensive review examines exercise as a therapeutic intervention for managing chronic diseases. It explores the physiological mechanisms behind physical activity's beneficial effects and its impact on various conditions, including cardiovascular disease, diabetes mellitus, obesity, and mental health disorders. Drawing from current literature and research findings, this review highlights how regular exercise significantly reduces mortality rates, improves disease outcomes, and enhances the overall quality of life for those with chronic illnesses. It discusses specific exercise recommendations for different conditions, emphasizing the importance of tailored physical activity programs. The review also addresses exercise's potential as a cost-effective and accessible treatment option, which may complement or, in some cases, reduce the need for pharmacological interventions. Ultimately, this review aims to equip healthcare professionals with a thorough understanding of exercise's therapeutic potential in chronic disease management, supporting the integration of physical activity into comprehensive treatment plans.

Joint Association of Change in Physical Activity and Sitting Time with Metabolic Syndrome Risk: A Prospective Cohort Study

Background and Aims: The purpose of this study was to investigate the combined impact of variations in physical activity (PA) and sitting time (ST) on the risk of developing metabolic syndrome (MetS). Methods: This study was conducted on a cohort of adults from the general population, aged 40-69 years, who participated in the KOGES community-based cohort study over a span of 10 years. Changes in PA and ST were assessed using the results from PA questionnaires completed during baseline and follow-up surveys. The diagnosis of MetS was determined according to the criteria established by the International Diabetes Federation. To evaluate the combined effect of PA and ST changes on the incidence of MetS, we calculated hazard ratios and 95% confidence intervals using a Cox proportional hazards regression model. Result: The incidence of MetS was reduced by 39% (HR = 0.61, 95% CI = 0.46-0.82) for increased ST/increased PA and 26% (HR = 0.74, 95% CI = 0.58-0.94) for decreased ST/increased PA, compared with increased ST/decreased PA, respectively. In addition, this study confirmed that the combined impact of changes in PA and ST, based on the domain of PA, on the incidence of MetS varied. Conclusion: Changes in ST and PA are associated with the risk of developing MetS. These findings lay the groundwork for further research on the relationship between changes in PA, ST, and the occurrence of diseases.

Association between polychlorinated biphenyl (PCB) and dioxin with metabolic syndrome (METS): a systematic review and meta-analysis

Polychlorinated biphenyls (PCBs) and dioxin are persistent endocrine disrupting chemicals (EDCs) and have been associated with an increased risk of metabolic syndrome (MetS). The aim of this systematic review and meta-analysis was to assess the associations of PCBs and dioxin with MetS and its risk factors, including obesity, hypertriglyceridaemia (HTG), hypertension (HTN) and diabetes mellitus (DM). We searched three electronic databases for epidemiological studies concerning PCBs and dioxin with MetS published up to the end of 2023. Meta-analysis was performed for MetS itself and each of the MetS risks based on a random-effects meta-analysis model, and odds ratios (ORs) with 95% confidence intervals (CIs) were obtained. Publication bias was assessed based on Egger's test. Eleven studies were included from three databases up to 2023. There were 40,528 participants aged 18-89, where 18-100% of them were males, included in our meta-analysis. The meta-analysis results showed a strong association between PCB exposure and DM (OR = 3.593, 95% CI 2.566, 5.031), while most of the risk factors for MetS, including obesity (OR = 1.875, 95% CI 0.883, 3.979), HTN (OR = 1.335, 95% CI 0.902, 1.976) and HTG (OR = 1.611, 95% CI 0.981, 2.643), were weakly associated with PCB. Furthermore, both PCBs (OR = 1.162, 95% CI 0.994, 1.357) and dioxin (OR = 2.742, 95% CI 1.936, 3.883) were found to be weakly and strongly associated with MetS, respectively. Meta-regression analysis showed that DM in the Asian population is associated with PCB exposure, while HTG in the Northern American population is associated with PCB exposure. Our meta-analysis has demonstrated a strong relationship between DM and PCBs, while the relationship between PCBs with MetS and other risk factors is less pronounced. Additionally, MetS is weakly associated with dioxin exposure. To improve primary care outcomes, healthcare providers should consider incorporating the assessment of patients' risk of exposure to PCBs and dioxins into their evaluation procedures for more targeted medical interventions.

Relationship between Change in Physical Activity and Risk of Metabolic Syndrome: A Prospective Cohort Study

Background

This study investigates the relationship between changes in physical activity levels and risk of metabolic syndrome.

Methods

This study examined 1,686 adults aged 40 to 69 years from a community-based cohort study with complete 1st to 4th follow-up data between 2011 and 2020. Changes in physical activity were evaluated through baseline and follow-up surveys using physical activity questionnaires. Metabolic syndrome was diagnosed according to the International Diabetes Federation criteria. A survival analysis was conducted using a multivariate extended Cox regression model with a significance level set at P<0.05.

Results

Participants were divided into groups according to physical activity levels. The newly inactive group (vigorous physical activity ≤150 minutes at first follow-up) had a 36% increase in the hazard ratio (HR) for metabolic syndrome compared with the consistently inactive group (≤150 minutes at both baseline and first follow-up) (HR, 1.36; 95% confidence interval [CI], 1.04 to 1.79). The newly active group (walking ≤420 minutes per week at baseline and >420 minutes per week at first follow-up) had a 25% decrease in the HR for metabolic syndrome compared with the consistently inactive group (walking ≤420 minutes per week at both baseline and first follow-up) (HR, 0.75; 95% CI, 0.57 to 0.98).

Conclusion

Changes in physical activity levels are associated with risk of metabolic syndrome. These results provide important insights for future investigations into the link between physical activity changes and disease occurrence.

Feasibility of a laboratory-based protocol for measuring energy expenditure and accelerometer calibration in adults with intellectual disabilities

Adults with intellectual disabilities experience numerous health inequalities. Targeting unhealthy lifestyle behaviours, such as high levels of sedentary behaviour and overweight/obesity, is a priority area for improving the health and adults with intellectual disabilities and reducing inequalities. Energy expenditure is a fundamental component of numerous health behaviours and an essential component of various free-living behaviour measurements, e.g. accelerometry. However, little is known about energy expenditure in adults with intellectual disabilities and no population-specific accelerometer data interpretation methods have been calibrated. The limited research in this area suggests that adults with intellectual disabilities have a higher energy expenditure, which requires further exploration, and could have significant impacts of device calibration. However, due to the complex methods required for measuring energy expenditure, it is essential to first evaluate feasibility and develop an effective protocol. This study aims to test the feasibility of a laboratory-based protocol to enable the measurement of energy expenditure and accelerometer calibration in adults with intellectual disabilities.We aimed to recruit ten adults (≥ 18 years) with intellectual disabilities. The protocol involved a total of nine sedentary, stationary, and physical activities, e.g. sitting, lying down, standing, and treadmill walking. Each activity was for 5 min, with one 10 min lying down activity to measure resting energy expenditure. Breath by breath respiratory gas exchange and accelerometry (ActiGraph and ActivPAL) were measured during each activity. Feasibility was assessed descriptively using recruitment and outcome measurement completion rates, and participant/stakeholder feedback.Ten adults (N = 7 female) with intellectual disabilities participated in this study. The recruitment rate was 50% and 90% completed the protocol and all outcome measures. Therefore, the recruitment strategy and protocol are feasible.This study addresses a significant gap in our knowledge relating to exercise laboratory-based research for adults with intellectual disabilities The findings from this study provide essential data that can be used to inform the development of future protocols to measure energy expenditure and for accelerometer calibration in adults with intellectual disabilities.

Medical comorbidities in bipolar disorder (BIPCOM): clinical validation of risk factors and biomarkers to improve prevention and treatment. Study protocol

BACKGROUND

BIPCOM aims to (1) identify medical comorbidities in people with bipolar disorder (BD); (2) examine risk factors and clinical profiles of Medical Comorbidities (MC) in this clinical group, with a special focus on Metabolic Syndrome (MetS); (3) develop a Clinical Support Tool (CST) for the personalized management of BD and medical comorbidities.

METHODS

The BIPCOM project aims to investigate MC, specifically MetS, in individuals with BD using various approaches. Initially, prevalence rates, characteristics, genetic and non-genetic risk factors, and the natural progression of MetS among individuals with BD will be assessed by analysing Nordic registers, biobanks, and existing patient datasets from 11 European recruiting centres across 5 countries. Subsequently, a clinical study involving 400 participants from these sites will be conducted to examine the clinical profiles and incidence of specific MetS risk factors over 1 year. Baseline assessments, 1-year follow-ups, biomarker analyses, and physical activity measurements with wearable biosensors, and focus groups will be performed. Using this comprehensive data, a CST will be developed to enhance the prevention, early detection, and personalized treatment of MC in BD, by incorporating clinical, biological, sex and genetic information. This protocol will highlight the study's methodology.

DISCUSSION

BIPCOM's data collection will pave the way for tailored treatment and prevention approaches for individuals with BD. This approach has the potential to generate significant healthcare savings by preventing complications, hospitalizations, and emergency visits related to comorbidities and cardiovascular risks in BD. BIPCOM's data collection will enhance BD patient care through personalized strategies, resulting in improved quality of life and reduced costly interventions. The findings of the study will contribute to a better understanding of the relationship between medical comorbidities and BD, enabling accurate prediction and effective management of MetS and cardiovascular diseases.

TRIAL REGISTRATION

ISRCTN68010602 at https://www.isrctn.com/ISRCTN68010602 . Registration date: 18/04/2023.

Metabolic Syndrome in people treated with Antipsychotics (RISKMet): A multimethod study protocol investigating genetic, behavioural, and environmental risk factors

INTRODUCTION

The RISKMet project aims to: (1) identify risk factors for metabolic syndrome (MetS) by comparing patients with and without MetS; (2) characterise patients treated with second-generation antipsychotics (SGAs) about MetS diagnosis; (3) study behavioural patterns, including physical activity (PA) and dietary habits, in patients and healthy individuals using a prospective cohort design.

METHOD

The RISKMet project investigates MetS in individuals treated with SGAs, focusing on both adult and paediatric populations. The study utilizes a case-control design to examine potential risk factors for MetS, categorizing participants as MetS+ considered as "Cases" and MetS- considered as "Controls" matched by sex and age. The evaluation of factors such as MetS, lifestyle habits, and environmental influences is conducted at two time points, T0 and T3, after 3 months. Subsequently, the project aims to assess body parameters, including physical examinations, and blood, and stool sample collection, to evaluate metabolic markers and the impact of SGAs. The analysis includes pharmacological treatment data and genetic variability. Behavioural markers related to lifestyle, eating behaviour, PA, and mood are assessed at both T0 and T3 using interviews, accelerometers, and a mobile app. The study aims to improve mental and physical well-being in SGA-treated individuals, establish a biobank for MetS research, build an evidence base for physical health programs, and develop preventive strategies for SGA-related comorbidities.

CONCLUSIONS

This project innovates MetS monitoring in psychiatry by using intensive digital phenotyping, identifying biochemical markers, assessing familial risks, and including genetically similar healthy controls.

STUDY REGISTRATION NUMBER

ISRCTN18419418 at www.isrctn.com.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Effects of a multicomponent training followed by a detraining period on metabolic syndrome profile of older adults

AIMS

The present study sought to analyze the effects of 6-month multicomponent training (MCT) combined with a 4-month detraining on metabolic syndrome (MetS) profile among older adults with decreased functional capacity.

METHODS

This quasi-experimental study included a total of 104 older adults (80.5 ± 6.0 years) and the sample was divided into a training (TRAIN, n = 55) or control group (CON). Harmonized definition was used to diagnose the MetS. Functional capacity, blood biochemical parameters, blood pressure, body composition and anthropometric measurements were assessed 3 times. Analysis of variance for repeated measures and Wilcoxon signed-rank test were used to check the differences within groups.

RESULTS

TRAIN decreased diastolic blood pressure (DBP), high-density lipoprotein cholesterol (HDLC) and total fat mass during training period, whereas CON did not show any significant changes. During detraining, TRAIN increased HDLC, systolic blood pressure (SBP), waist circumference (WC) and total fat mass; and decreased glucose and fat free mass, whereas CON increased the concentration of glucose and HDLC. From baseline to post-detraining assessment, CON increased the concentration of triglycerides and the WC, while TRAIN only increased the WC (all p < 0.05).

CONCLUSIONS

Exercise can be a key component in the treatment of the MetS, since MCT seems to be effective to decrease DBP and total fat mass. Nevertheless, 4-months of detraining could cause a drop of total fat mass, but no in DBP. To avoid reversibility of the benefits obtained, it could be beneficial to promote continuing exercise programs.

TRIAL REGISTRATION

ClinicalTrial.gov identifier: NCT03831841.

The effect of exercise on the risk of metabolic syndrome associated with sleep insufficiency: a cross-sectional study

Introduction

Sleep disturbance and insufficient sleep have been linked to metabolic syndrome, increasing cardiovascular disease and mortality risk. However, few studies investigate the joint effect of sleep and exercise on metabolic syndrome. We hypothesized that regular exercise can mitigate the exacerbation of metabolic syndrome by sleep insufficiency.

Objective

The aim of this study was to investigate whether exercise can attenuate or eliminate the relationship between sleep insufficiency and metabolic syndrome.

Method

A total of 6,289 adults (mean age = 33.96 years; women: 74.81%) were included in the study, a cross-sectional study conducted based on the results of employee health screening questionnaires and databases from a large healthcare system in central Taiwan. Participants reported sleep insufficiency or not. Self-reported exercise habits were classified into 3 levels: no exercise, exercise <150 min/week, and exercise ≧150 min/week. Multiple logistic regression and sensitivity analyses were conducted to understand the joint associations of sleep patterns and exercise with metabolic syndrome with exposure variables combining sleep duration/disturbances and PA.

Results

Compared with the reference group (sufficient sleep), individuals with sleep insufficiency had a higher risk for metabolic syndrome [adjusted odds ratio (AOR) = 1.40, 95% confidence interval (95% CI): 1.01-1.94, p < 0.05] in females aged 40-64 years, but not in other populations. Sleep insufficiency was not associated with the risk of metabolic syndrome among individuals achieving an exercise level of <150 min/week, and in particular among those achieving ≧150 min/week in all populations in our study.

Conclusion

Sleep insufficiency was related to a higher risk of metabolic syndrome in female healthcare staff aged 40-64 years. Being physically active with exercise habits in these individuals, the risk of metabolic syndrome was no longer significant.

Latent profile analysis approach to the relationship between daily ambulatory activity patterns and metabolic syndrome in middle-aged and elderly Japanese individuals: The Toon Health Study

BACKGROUND

This cross-sectional study aimed to identify the accumulation patterns of objectively measured ambulatory activity (AA) variables in the Japanese middle-aged and elderly individuals and examine the relationship of these derivative patterns with metabolic syndrome (MetS).

METHODS

A total of 1850 participants (66.1% women, mean age: 57.7 years) provided objectively assessed AA data using a uniaxial accelerometer. The number of steps, time accumulated in light-intensity AA (LIAA) and moderate-to-vigorous intensity AA (MVAA), and the ratio of MVAA to total AA (LIAA + MVAA) were calculated. Latent profile analysis was used to identify groups of participants based on their distinct AA patterns. Logistic regression models were used to assess the association of groups with MetS after adjusting for age, sex, alcohol intake, and cigarette smoking.

RESULTS

Four distinct groups were identified: Group A had few steps and low levels of LIAA and MVAA; group B had a certain number of steps and recommended level of MVAA but low level of LIAA; group C had a certain number or more of steps, high level of LIAA, and recommended level of MVAA; group D had an extremely high number of steps and high levels of both LIAA and MVAA. The multivariate-adjusted odds ratio (95% CI) for MetS in groups B, C, and D relative to group A were 0.857 (0.611-1.201), 0.679 (0.500-0.922), and 0.434 (0.259-0.730), respectively. Groups C and D had significantly lower odds ratio of MetS compared to group A.

CONCLUSION

AA pattern involving a certain number or greater of steps accumulated through not only MVAA but also LIAA may help reduce the risk of MetS compared to inactive AA pattern.

The joint association of physical activity and sedentary behavior with metabolic syndrome among urban men aged 60+ years in regional China

Objectives

Metabolic syndrome (MetS) is a major public health issue worldwide, which is preventable through physical activity (PA) promotion and sedentary behavior (SB) reduction. However, the joint association of PA and SB with MetS was not well-investigated, particularly in elderly people. This study aimed to examine separate and joint associations of PA and SB with MetS among elderly urban men in China.

Methods

In this cross-sectional study conducted in mid-2018, participants were urban men aged 60+ years randomly selected from in Nanjing of China. Exposure variables were PA and SB. The outcome variable was MetS. A participant was categorized as "having MetS" or "not having MetS" in the analysis. Independent variables were PA and SB, which were categorized as "sufficient PA or insufficient PA" and "shortened SB or prolonged SB", respectively. Mixed-effects logistics regression models were applied to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association of PA and SB with MetS.

Results

Totally, 5,520 from 5,792 eligible participants were randomly recruited and their mean age was 68.9 (standard deviation: 16.9) years. The prevalence of MetS was 30.8% (95%CI = 29.6%, 32.0%) among urban men aged 60+ years in the study. After adjustment for potential confounders, subjects with sufficient PA were less likely (OR = 0.77, 95%CI = 0.67, 0.88) to experience MetS, independently of SB, relative to their counterparts with insufficient PA, while a lower odds (OR = 0.74; 95%CI = 0.61, 0.89) of experiencing MetS was examined for participants with shortened SB, also independently of PA, compared to those with prolonged SB in the study. Furthermore, compared to participants with insufficient PA and prolonged SB, those either within categories of insufficient PA and shortened SB (OR = 0.81; 95%CI = 0.65, 0.99), sufficient PA and prolonged SB (OR = 0.80; 95%CI = 0.70, 0.92), or sufficient PA and shortened SB (OR = 0.41; 95%CI = 0.26, 0.63) were at significantly lower risk to experience MetS, respectively.

Conclusions

PA was negatively associated with MetS, and SB was positively linked to MetS, which were independent of each other. Moreover, sufficient PA and shortened SB might exert additively joint influence on MetS. This study has important implications that concurrent PA promotion and SB reduction shall be encouraged for people to optimize the effectiveness of MetS prevention.

Lifestyle elements and risk of metabolic syndrome in adults

Background

The aim of the study was to investigate which elements of lifestyle are associated with metabolic health in adults, defined as the absence of components of metabolic syndrome (MetS) based on the International Diabetes Federation criteria.

Methods

Data from 10,277 individuals aged 40–65 years constituted the material of this study. Univariate and multivariate analyses with backward stepwise selection were carried out to identify the factors associated with the absence of metabolic disorders.

Results

No family history of cardiovascular disease increased the odds of being metabolically healthy 1.5-2-fold. Furthermore, the following factors were associated with higher odds of being metabolically healthy in men: abstinence from alcohol (healthy individuals vs. those with ≥3 [OR = 5.49 (2.23–13.52); p<0.001], ≥2 [OR = 4.52 (1.87–10.91); p = 0.001], and ≥1 components of MetS [OR = 3.04 (1.41–6.56); p = 0.005]), moderate alcohol use (healthy individuals vs. those with ≥3 [OR = 3.36 (1.54–7.32); p = 0.002], ≥2 [OR = 3.28 (1.52–7.10); p = 0.002], and ≥1 components of MetS [OR = 3.93 (1.64–9.42); p = 0.002]), moderate-to-vigorous physical activity (MVPA) >2 hours/day and sitting time of 3–6 hours/day. Drinking >2 cups of coffee per day (healthy vs. those with ≥3 [OR = 2.00 (1.47–2.71)], ≥2 [OR = 1.84 (1.38–2.45)], and ≥1 components of MetS [OR = 1.72 (1.30–2.28); all p<0.001]), limiting animal fats to <2 servings/day, MVPA >2 hours/day, and 7–8 hours of sleep per day were associated with higher odds of being metabolically healthy in women.

Conclusions

A healthy lifestyle increased the odds of being metabolically healthy. Some lifestyle modifications may appear effective in prevention of not only MetS, but also single metabolic risk factors.

Prevalence of Metabolic Syndrome and Association with Physical Activity and Frailty Status in Spanish Older Adults with Decreased Functional Capacity: A Cross-Sectional Study

Metabolic syndrome (MetS) is a cluster of medical conditions associated with several health disorders. MetS and frailty can be related to prolonged physical deconditioning. There is a need to know whether there is concordance between the different ways of diagnosing it and to know their prevalence in Spanish older adults. Thus, the aims of this study were to describe the prevalence of MetS; to analyse the concordance between different definitions to diagnose MetS; and to study the associations between MetS, frailty status, and physical activity (PA) in older adults with decreased functional capacity. This report is a cross-sectional study involving 110 Spanish older adults of ages ≥65 years with decreased functional capacity. Clinical criteria to diagnose MetS was defined by different expert groups. Anthropometric measurements, blood biochemical analysis, frailty status, functional capacity, and PA were assessed. The Kappa statistic was used to determine the agreement between the five MetS definitions used. Student’s t-test and the Pearson chi-square test were used to examine differences between sex, frailty, and PA groups. The sex-adjusted prevalence of MetS assessed by the National Cholesterol Education Program—Third Adult Treatment Panel was 39.4% in men and 32.5% in women. The International Diabetes Federation and the Harmonized definitions had the best agreement (k = 1.000). The highest odds ratios (ORs) of cardiometabolic risk factors to develop MetS were elevated triglycerides (37.5) and reduced high-density lipoprotein cholesterol (27.3). Central obesity and hypertension prevalence were significantly higher in the non-active group (70.7% and 26.8%, respectively), compared to the active group (50.0% and 7.7%, respectively). Moreover, the active group (OR = 0.85, 95% CI = 0.35, 2.04) and active women group (OR = 0.77, 95% CI = 0.27, 2.20) appeared to show a lower risk of developing this syndrome. MetS is highly prevalent in this sample and changes according to the definition used. It seems that sex and frailty do not influence the development of MetS. However, PA appears to decrease central obesity, hypertension, and the risk of developing MetS.

Effect of Walking Steps Measured by a Wearable Activity Tracker on Improving Components of Metabolic Syndrome: A Prospective Study

We compared the improvement in components of metabolic syndrome (MS) before and after lifestyle modification, as determined by daily step counts (on a wrist-worn Fitbit®) in participants with and without MS recruited from volunteers attending medical health checkup programs. A linear mixed model was used to analyze the change in MS components between participants with and without MS by group × time interaction. Multiple logistic regression analysis after adjustment for confounders was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs) for improvements in MS components per 1000-steps/day increments. Waist circumference, triglycerides, fasting plasma glucose, and diastolic blood pressure were significantly different between participants with and without MS (group × time: p = 0.010, p < 0.001, p = 0.025, and p = 0.010, respectively). Multivariable-adjusted ORs (95% CI) of improvement in MS components per 1000-steps/day increments were 1.24 (1.01−1.53) in participants with and 1.14 (0.93−1.40) in participants without MS. Walking improved MS components more in individuals with than without MS. From a public health perspective, walking should be encouraged for high-risk MS individuals.

Understanding the hidden epidemic of metabolic syndrome in people accessing community rehabilitation: a cross-sectional study of physical activity, dietary intake, and health literacy

PURPOSE

To determine the prevalence of metabolic syndrome in patients attending outpatient community rehabilitation in Melbourne, Australia and to compare health literacy, physical activity, and dietary intake of people with and without metabolic syndrome.

MATERIALS AND METHODS

A cross-sectional, multi-centre, observational study of adults (n = 193) presenting to rehabilitation with various health complaints. Metabolic syndrome was determined according to the International Diabetes Federation joint consensus worldwide definition. Health literacy was assessed using the Rapid Estimate of Adult literacy in Medicine (REALM) and the Short Test of Functional Health Literacy in Adults (S-TOFHLA). Physical activity was assessed using accelerometers and dietary intake was assessed using a food frequency questionnaire.

RESULTS

One hundred and twenty three participants (64%) had metabolic syndrome. Of these, only three (2%) knew they had it. People with metabolic syndrome scored lower on health literacy (S-TOFHLA MD -2.10, 95% confidence interval (CI) -3.98 to -0.22) and took 1311 (95%CI 375 to 2246) fewer daily steps than those without metabolic syndrome. There were no differences in dietary intake.

CONCLUSIONS

Metabolic syndrome is a prevalent and under-recognised condition in community rehabilitation. Community healthcare professionals and health services may need to consider a broader approach to management including lifestyle assessment and intervention of patients with various conditions. Implications for rehabilitationAlmost two-thirds of adults in community rehabilitation had underlying, undetected metabolic syndrome.Adults with metabolic syndrome completed less objectively measured physical activity and had lower health literacy levels than those without metabolic syndrome.A broader approach to management may need to be considered in community rehabilitation where patients presenting for rehabilitation of various conditions would likely benefit from lifestyle assessment and intervention.

Fruit, Vegetable, and Physical Activity Guideline Adherence and Metabolic Syndrome in El Banco por Salud

Adherence to dietary and physical activity recommendations has been associated with reductions in morbidity and mortality. The association between baseline adherence to fruit, vegetable, and physical activity guidelines and metabolic syndrome (MetS) in El Banco por Salud (El Banco) was examined. El Banco is a wellness biobank for Latino individuals affiliated with partnered Federally Qualified Health Centers in southern Arizona. Study participants (n = 972) were 65% female, 62.3% foreign-born, 56.3% obese, 29.2% food insecure, and with an average age of 51.3 years. Adherence scores were developed using baseline questionnaires for fruits and vegetable consumption and self-reported physical activity. Adherence was low in those fully meeting guidelines for fruit, vegetable, and physical activity at 14.6%, 37.5%, and 23.5%, respectively. Roughly 65% (n = 630) had ≥3 cardiometabolic risk factors. Large waist circumference was the most prevalent risk factor at 77.9%. Adherence to physical activity recommendations differed by MetS status with 32.8% without MetS reporting ≥150 min of physical activity per week compared to 18.5% in those with MetS (p < 0.001). There were no significant associations with adherence to any guidelines and MetS in the fully adjusted model. Overall, in this sample guideline adherence was low and the cardiometabolic risk factors prevalence was high.

Association between behavioural risk factors and metabolic syndrome among adult population in India: A systematic review and meta-analysis of observational studies

AIMS

The impact of behavioural risk factors on the metabolic syndrome has not been well understood by the researchers. This information is important to the policymakers for developing effective strategies and implement relevant policies or programs. Hence, we undertook this meta-analysis to estimate the effect of behavioural risk factors on the burden of metabolic syndrome.

DATA SYNTHESIS

We conducted a search in the databases, such as PubMed Central, EMBASE, MEDLINE, and Cochrane library, and search engines, such as ScienceDirect and Google Scholar, from inception until March 2021. We used the Newcastle-Ottawa Scale (NOS) to assess the quality of published studies. We carried out a meta-analysis with random-effects model and reported pooled odds ratio (OR) with 95% confidence interval (CI). In total, we analysed 30 studies with 41,090 participants. The majority of the studies had good to satisfactory quality as per NOS. Physical activity had a statistically significant association with the prevalence of metabolic syndrome (pooled OR = 1.57; 95%CI: 1.28 to 1.93, I2 = 91%). However, smoking (pooled OR = 0.96; 95%CI: 0.75 to 1.23, I2 = 90.5%) and alcohol (pooled OR = 1.00; 95%CI: 0.75 to 1.33, I2 = 90.8%) did not reveal a statistically significant association with the burden of metabolic syndrome.

CONCLUSION

Physical inactivity was found to be a significant risk factor for metabolic syndrome. Given the evidence, it is important that the clinicians and policymakers are alike to recommend regular physical activity among the patients and general population.

Associations of Sedentary Time and Physical Activity with Metabolic Syndrome among Chinese Adults: Results from the China Health and Nutrition Survey

OBJECTIVE

This study aimed to determine the independent and joint associations of sedentary time (ST) and physical activity (PA) with metabolic syndrome (MetS) and its components among Chinese adults.

METHODS

The study analyzed data from 4,865 adults aged ≥ 18 years who participated in the 2009 and 2015 China Health and Nutrition Surveys (CHNS). Four types of leisure ST and three types of PA self-reported at baseline were collected. Multivariable logistic regressions were used to determine the independent and joint associations of ST and PA with the odds of MetS or its components.

RESULTS

For independent effects, higher levels of television time and total leisure ST was associated with higher MetS risk [odds ratio ( OR) 1.3, 95% confidence interval ( CI) 1.1-1.6, P < 0.001; OR 1.4, 95% CI 1.2-1.8, P < 0.001, respectively]. The MetS risk in the computer time > 7 hours/week (h/w) group was higher than that in the < 7 h/w group in ( OR 1.5, 95% CI 1.2-1.9). Higher levels of moderate-to-vigorous-intensity physical activity (MVPA) and total PA were associated with a lower MetS risk ( OR 0.7, 95% CI 0.6-0.9, P < 0.001; OR 0.8, 95% CI 0.7-0.9, P < 0.001, respectively). For the joint effects, compared with those reporting the lowest level of total leisure ST (< 14 h/w) and the most active tertile of MVPA (≥ 61.0 MET-h/w), participants reporting the most total leisure ST (≥ 35 h/w) and the lowest level of MVPA (0 MET-h/w) had the highest odds of MetS ( OR 2.0; 95% CI 1.4-2.7). Except for people reporting ST (14-21 h/w) within the most active tertile of MVPA, the associations in all other groups were significant. With the increase of TV time and decreased MVPA, the odds of MetS almost showed a curve acceleration.

CONCLUSIONS

MVPA and total PA have independent preventive effects, and sedentary behavior (mainly watching TV) has an unsafe effect on MetS and its components. Strengthening the participation of MVPA and combining the LPA to replace the TV-based ST to increase the total PA may be necessary to reduce the prevalence of MetS in Chinese adults.

Research productivity in the field of physical exercise and epilepsy: A bibliometric analysis of the scholarly literature with qualitative synthesis

OBJECTIVES

This study aimed to quantitatively, qualitatively, and visually analyze, describe, evaluate, and identify trends of the published scholarly documents on physical activity/exercise in epilepsy.

METHODS

Scopus database was systematically searched using the keywords relevant to "exercise" and "epilepsy". The Bibliometrix R-Tool was used to quantify, analyze, visualize, and describe the data set of the scholarly documents identified through the systematic search. Data collected from the retrieved documents were synthesized qualitatively.

RESULTS

Search of the database resulted in 182 scholarly documents reporting on physical activity/exercise in epilepsy. The scholarly documents were obtained from 93 indexed sources, authored by 516 researchers, indexed by 1311 keywords, and cited 4648 references. Epilepsy and Behavior was the fastest growing source for documents on physical exercise in epilepsy and the Universidade Federal De So Paulo in Brazil was the most productive institution in the field. Thematic analysis showed that epilepsy and physical exercise were basic themes, quality of life and depression were motor themes, and yoga was a niche theme. Quality of life and sport were trendy topics after the year 2015. A total of 14 barriers and 2 promoters of physical activity/exercise were qualitatively synthesized.

CONCLUSION

Findings of this analysis might be helpful to librarians, institutions, and professionals interested in the field of physical activity/exercise in epilepsy. Researchers might be informed of collaboration opportunities, trendy topics, and emerging themes in the field.

Association between the type of physical activity and metabolic syndrome in middle-aged and older adult residents of a semi-mountainous area in Japan

BACKGROUND

Physical activity is reported to prevent metabolic syndrome. However, it is unclear whether exercise or daily physical activity is more beneficial for residents of semi-mountainous areas. This study aimed to identify whether daily physical activity is more beneficial than exercise for the prevention of metabolic syndrome among middle-aged and older residents in semi-mountainous areas.

METHODS

We analyzed secondary data of 636 people who underwent a specific health checkup in a semi-mountainous area of Japan. Physical activity was classified into four types: inactivity (I-type; without exercise and without daily physical activity), only exercise (E-type; with exercise and without daily physical activity), only daily physical activity (D-type; without exercise and with daily physical activity), and full physical activity type (F-type; with exercise and with daily physical activity). We compared the means of risk factors for metabolic syndrome by these four types, followed by logistic regression analysis, to identify whether and to what extent the D-type was less likely to have metabolic syndrome than the E-type.

RESULTS

The prevalence of metabolic syndrome was 28.5% (men 45.7%, women 15.8%). The proportions of men with exercise and daily physical activity were 38.7% and 52.8%, respectively. For women, the proportions were 33.0% and 47.1%, respectively. In women, the D-type had the significantly lowest BMI, smallest waist circumference, highest HDL-C, and lowest prevalence of metabolic syndrome of the four types; the same was not observed in men. Additionally, D-type activity was more strongly associated with a reduced risk of metabolic syndrome than E-type activity in women (adjusted odds ratio 0.24; 95% confidence interval 0.06-0.85, P = 0.028).

CONCLUSIONS

Compared to middle-aged and older women residents with exercise in a semi-mountainous area of Japan, those with daily physical activity may effectively prevent metabolic syndrome.

Gender Differences of Health Behaviors in the Risk of Metabolic Syndrome for Middle-Aged Adults: A National Cross-Sectional Study in South Korea

This study examined gender differences in health behaviors for the risk of metabolic syndrome (MetS) among middle-aged adults using nationally representative data from the Seventh Korea National Health and Nutrition Examination Survey (2016–2018). The sample included data from 8677 middle-aged adults. The Health Practice Index measured health behaviors, including smoking, alcohol use, physical activity, sleeping, eating breakfast, working hours, nutritionally balanced diet, and mental stress. Complex sample multiple logistic regression analyses were conducted to determine the association between the Health Practice Index (HPI) and MetS. Men and women with poor or moderate HPI scores had significantly higher risks of having MetS than those with good HPI scores. Controlling for covariates, high-risk alcohol use (p < 0.001) and physical activity (p = 0.008) were associated with the risk of MetS in men and women, respectively. Men reporting alcohol use and women lacking a healthy diet were, respectively, 2.056 times (adjusted odds ratio (OR) = 2.056, 95% CI: 1.681–2.514) and 1.306 times (adjusted OR = 1.306, 95% CI: 1.075–1.587) more likely to have increased risks of MetS. Given these gender differences in health behaviors, developing tailored interventions could be beneficial in preventing MetS among middle-aged men and women.

Conjoint Associations of Adherence to Physical Activity and Dietary Guidelines With Cardiometabolic Health: The Framingham Heart Study

Background

The conjoint associations of adherence to the recent physical activity and dietary guidelines with the metabolic syndrome (MetS) are incompletely understood.

Methods and Results

We evaluated 2379 FHS (Framingham Heart Study) Third Generation participants (mean age, 47 years; 54.4% women) attending examination cycle 2. We examined the cross‐sectional relations of adherence to the 2018 Physical Activity Guidelines for Americans (binary; moderate‐to‐vigorous physical activity ≥150 versus <150 min/wk) and 2015 Dietary Guidelines for Americans (binary; 2015 Dietary Guidelines for Americans Adherence Index ≥median versus <median [score, 62.1/100]) with prevalence of the MetS using generalized linear models. We also related adherence to guidelines with the incidence of MetS prospectively, using Cox proportional hazards regression with discrete time intervals. Adherence rates to the 2018 Physical Activity Guidelines for Americans (odds ratio [OR], 0.49; 95% CI, 0.40–0.60) and 2015 Dietary Guidelines for Americans (OR, 0.67; 95% CI, 0.51–0.90) were individually associated with lower odds of prevalent MetS, whereas conjoint adherence to both guidelines was associated with the lowest odds of MetS (OR, 0.35; 95% CI, 0.26–0.47) compared with the referent group (nonadherence to both guidelines). Adherence rates to the 2018 Physical Activity Guidelines for Americans (hazard ratio [HR], 0.66; 95% CI, 0.50–0.88) and 2015 Dietary Guidelines for Americans (HR, 0.68; 95% CI, 0.51–0.90) were associated with lower risk of MetS, prospectively. In addition, we observed a 52% lower risk of MetS in individuals who adhered to both guidelines compared with the referent group.

Conclusions

Maintaining both regular physical activity and a healthy diet in midlife may be required for optimal cardiometabolic health in later life.

Does physical activity lower the risk for metabolic syndrome: a longitudinal study of physically active older women

Background

The associations between physical activity and metabolic syndrome (MetS) have been mainly found in cross-sectional studies. The aim of this longitudinal study was to examine the relationship between meeting step-based guidelines and changes in the risk of metabolic syndrome.

Methods

This study included data from older women (baseline age 62.9 ± 4.3 years) from a 7-year longitudinal study in Central Europe. At baseline and follow-up, physical activity was measured by an accelerometer, and the risk for MetS was assessed according to the NCEP-ATP III criteria. In 59 women, multivariate repeated measures ANOVA was used to compare differences in changes in the risk of MetS in groups based on meeting step-based guidelines (10,000 steps/day and 9000 steps/day for women aged <65 and ≥ 65 years, respectively).

Results

Over 7 years, steps/day increased from 10,944 ± 3560 to 11,652 ± 4865, and the risk of MetS decreased from 41 to 12% in our sample. Women who longitudinally met step-based guidelines had a significantly higher mean concentration of high-density cholesterol (HDL-C) (64.5 and 80.3 mg/dL at baseline and follow-up, respectively) and a lower concentration of triglycerides (TGs) (158.3 and 123.8 mg/dL at baseline and follow-up, respectively) at follow-up compared to baseline. Moreover, women who increased their daily steps over 7 years to the recommended steps/day value significantly decreased the concentration of TGs (158.3 mg/dL and 123.8 mg/dL at baseline and follow-up, respectively).

Conclusions

Our study might suggest that the long-term meeting of step-based guidelines or an increase in daily steps/day to achieve the recommended value could be related to a lower risk of MetS, specifically in concentrations of HDL-C and TG. These findings may help in designing interventions aiming to decrease the risk of MetS in older women.

Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

Sedentary Behavior (SB), defined as sitting with minimal physical activity, is an emergent public health topic. However, the measurement of SB considers either posture (e.g., activPal) or physical activity (e.g., ActiGraph), and thus neglects either active sitting or inactive standing. The aim of this study was to determine the true amount of active sitting and inactive standing in daily life, and to analyze by how much these behaviors falsify the single sensors' sedentary estimates. Sedentary time of 100 office workers estimated with activPal and ActiGraph was therefore compared with Bland-Altman statistics to a combined sensor analysis, the posture and physical activity index (POPAI). POPAI classified each activPal sitting and standing event into inactive or active using the ActiGraph counts. Participants spent 45.0% [32.2%-59.1%] of the waking hours inactive sitting (equal to SB), 13.7% [7.8%-21.6%] active sitting, and 12.0% [5.7%-24.1%] inactive standing (mean [5th-95th percentile]). The activPal overestimated sedentary time by 30.3% [12.3%-48.4%] and the ActiGraph by 22.5% [3.2%-41.8%] (bias [95% limit-of-agreement]). The results showed that sitting is not always inactive, and standing is not always active. Caution should therefore be paid when interpreting the activPal (ignoring active sitting) and ActiGraph (ignoring inactive standing) measured time as SB.

Prevalence of metabolic syndrome and its associated factors in overweight and obese adolescents

Background Metabolic syndrome (MetS) is not only a problem of adulthood but is already present in children and adolescents. The aim of this study was to estimate the prevalence of MetS in adolescents and to identify the associated factors. Methods This was a cross-sectional study with 354 overweight and obese school-aged adolescents (10-19 years). Sociodemographic, anthropometric, clinical, biochemical and lifestyle variables were collected. MetS was identified according to the criteria proposed by the International Diabetes Federation (IDF). Multivariate logistic regression models were used to examine the associations between risk variables and MetS. Results The prevalence of MetS was 9.6%. Among adolescents with MetS, all of them had low high-density lipoprotein cholesterol (HDL-c), while 76.5% had hyperglycemia and 38.2% had hypertriglyceridemia. Only 12.1% did not present any component of MetS, while 40% had at least two components. Multivariate analysis showed that being a girl was a protective factor (odds ratio [OR] = 0.29, confidence interval [CI] = 0.13-0.65) for the presence of MetS, while obesity (OR = 3.63, CI = 1.62-8.17) and being insufficiently active (OR = 4.60, CI = 1.01-20.96) were the risk factors for MetS. Conclusions Obese and insufficiently active male adolescents are more likely to have MetS. Early identification of MetS components, especially among obese adolescents, is an important tool for the prevention of cardiovascular complications in adult life.

Detecting prolonged sitting bouts with the ActiGraph GT3X

The ActiGraph has a high ability to measure physical activity; however, it lacks an accurate posture classification to measure sedentary behavior. The aim of the present study was to develop an ActiGraph (waist-worn, 30 Hz) posture classification to detect prolonged sitting bouts, and to compare the classification to proprietary ActiGraph data. The activPAL, a highly valid posture classification device, served as reference criterion. Both sensors were worn by 38 office workers over a median duration of 9 days. An automated feature selection extracted the relevant signal information for a minute-based posture classification. The machine learning algorithm with optimal feature number to predict the time in prolonged sitting bouts (≥5 and ≥10 minutes) was searched and compared to the activPAL using Bland-Altman statistics. The comparison included optimized and frequently used cut-points (100 and 150 counts per minute (cpm), with and without low-frequency-extension (LFE) filtering). The new algorithm predicted the time in prolonged sitting bouts most accurate (bias ≤ 7 minutes/d). Of all proprietary ActiGraph methods, only 150 cpm without LFE predicted the time in prolonged sitting bouts non-significantly different from the activPAL (bias ≤ 18 minutes/d). However, the frequently used 100 cpm with LFE accurately predicted total sitting time (bias ≤ 7 minutes/d). To study the health effects of ActiGraph measured prolonged sitting, we recommend using the new algorithm. In case a cut-point is used, we recommend 150 cpm without LFE to measure prolonged sitting and 100 cpm with LFE to measure total sitting time. However, both cpm cut-points are not recommended for a detailed bout analysis.