Time Spent Sitting as an Independent Risk Factor for Cardiovascular Disease

Characteristics of physical activity and sedentary behavior in patients undergoing outpatient cardiac rehabilitation

Cardiac rehabilitation is crucial for the secondary prevention of cardiovascular disease, the leading cause of death worldwide. In Japan, as hospitalization periods have been shortened due to advances in medical technology and government policies, outpatient rehabilitation focused on lifestyle and physical activity (PA) is becoming increasingly important as hospital stays shorten. This study was aimed to identify patient characteristics that define the different types of PA and sedentary behaviors, and patient factors in 92 Japanese outpatients by using accelerometers. The patients were found to spend considerable time being sedentary (663.7 ± 118.1 min/day) and very little time engaging in moderate-to-vigorous PA (MVPA, 25.6 (10.6-43.4) min/day). Regression analysis revealed that the daily duration of sedentary behavior was 64 min longer in men than in women (β = 64.2, 95% CI[12.9, 115], p = 0.015); furthermore, men engaged in 22% less light PA (β = -0.245, 95% CI[-0.388, -0.102], p = 0.001). Additionally, MVPA increased by 43% for every 1 metabolic equivalent (MET) task increase in the anaerobic threshold (AT) (β = 0.367, 95% CI[0.035, 0.698], p = 0.031) but decreased by 3% per year of age(β = -0.035, 95% CI[-0.056, -0.015], p < 0.001). The study also found that body mass index (BMI) was negatively correlated with walking time (β = -0.039, 95% CI[-0.075, -0.003], p = 0.036), while AT was positively correlated with MVPA (β = 0.367, 95% CI[0.035, 0.698], p = 0.031) but negatively correlated with time above the AT (β = -2.06, 95% CI[-2.53, -1.59], p < 0.001). These results emphasize the importance of customizing rehabilitation programs according to sex, age, BMI, and AT differences. Furthermore, monitoring home activities and providing individualized prescriptions may enhance the effectiveness of rehabilitation programs.

Empowering Families and Providers With a Lifestyle Medicine Approach to Pediatric Obesity

Pediatric overweight and obesity is a complex chronic medical condition with a multitude of contributing factors. Rates are now nearly double what they were before the COVID-19 pandemic and if the current trajectory holds it is anticipated that by 2050 one in every two US children will experience obesity before the age of thirty-five. Pediatric obesity guidelines emphasize referral to intensive health behavior and lifestyle therapy programs, but these are difficult to access. Front line providers caring for children can use a lifestyle medicine approach within the medical home to make lifestyle changes easier. Lifestyle Medicine can promote a family-oriented, weight-neutral approach by (1) Educating and equipping providers to assess readiness to change and providing high-quality motivational interviewing and lifestyle counseling, (2) Equipping patients and their families with tools involving the six lifestyle interventions to optimize health starting an early age, and (3) Offering a longitudinal uniform office approach to effectively prevent, manage and often reverse obesity and related comorbidities through healthy habit change.

The prevalence of sedentary behavior among university students in Saudi Arabia

BACKGROUND

A considerable body of research has demonstrated that reducing sitting time benefits health. Therefore, the current study aimed to explore the prevalence of sedentary behavior (SB) and its patterns.

METHODS

A total of 6975 university students (49.1% female) were chosen randomly to participate in a face-to-face interview. The original English version of the sedentary behavior questionnaire (SBQ) was previously translated into Arabic. Then, the validated Arabic version of the SBQ was used to assess SB. The Arabic SBQ included 9 types of SB (watching television, playing computer/video games, sitting while listening to music, sitting and talking on the phone, doing paperwork or office work, sitting and reading, playing a musical instrument, doing arts and crafts, and sitting and driving/riding in a car, bus or train) on weekdays and weekends.

RESULTS

SBQ indicated that the total time of SB was considerably high (478.75 ± 256.60 and 535.86 ± 316.53 (min/day) during weekdays and weekends, respectively). On average, participants spent the most time during the day doing office/paperwork (item number 4) during weekdays (112.47 ± 111.11 min/day) and weekends (122.05 ± 113.49 min/day), followed by sitting time in transportation (item number 9) during weekdays (78.95 ± 83.25 min/day) and weekends (92.84 ± 100.19 min/day). The average total sitting time of the SBQ was 495.09 ± 247.38 (min/day) and 58.4% of the participants reported a high amount of sitting time (≥ 7 hours/day). Independent t-test showed significant differences (P ≤ 0.05) between males and females in all types of SB except with doing office/paperwork (item number 4). The results also showed that male students have a longer daily sitting time (521.73 ± 236.53 min/day) than females (467.38 ± 255.28 min/day). Finally, 64.1% of the males reported a high amount of sitting time (≥ 7 hours/day) compared to females (52.3%).

CONCLUSION

In conclusion, the total mean length of SB in minutes per day for male and female university students was considerably high. About 58% of the population appeared to spend ≥7 h/day sedentary. Male university students are likelier to sit longer than female students. Our findings also indicated that SB and physical activity interventions are needed to raise awareness of the importance of adopting an active lifestyle and reducing sitting time.

Co-occurrence of Modifiable Risk Factors for Cardiovascular Disease amongst Diabetic Patients in Lagos State, Nigeria

BACKGROUND

Diabetes significantly increases the likelihood of developing cardiovascular disease (CVD). This risk can be reduced by addressing modifiable risk factors. The objectives of this study were to assess the modifiable risks for CVD amongst persons with diabetes and identify the factors associated with multiple risk factors.

METHODS

This cross-sectional study was conducted amongst 357 diabetic patients attending a large tertiary hospital in Southwest Nigeria. Eligible patients were recruited consecutively on clinic days till the minimum sample size was reached. An interviewer-administered survey tool adapted from the World Health Organization STEPS was used to obtain information from study participants. The following risk factors were assessed: tobacco use, obesity, high blood pressure, physical activity, sedentary time and hours of sleep. Data were analysed using the STATA version 15.0 (Stata Corp.) statistical programme.

RESULTS

The mean age of the participants was 61.7 ± 12.6 years, and they were mostly females (63.9%). Of the risk factors assessed, the most prevalent modifiable risk factors amongst the respondents were inadequate sleep - <8 h on average (91.6%), abdominal obesity (82.6%) and high blood pressure (72%). Others were inadequate physical activity (56%) and lifetime tobacco use (21%). Up to 40.3% of the diabetic persons had three or more co-existing CVD risk factors. Age, gender, work and marital status (P ≤ 0.01) were statistically associated with multiple CVD risk factors. Being male, unmarried and increasing age were predictors of multiple CVD risk factors amongst the diabetic patients.

CONCLUSION

A significant proportion of the diabetic patients have multiple co-existing modifiable CVD risks. Abdominal obesity and poor sleep were the most prevalent. Older men who are unmarried were more likely to have multiple risks. Primary and secondary preventive measures to address CVD risks amongst diabetic patients are warranted and should target older unmarried men.

Association of Sitting Time With All-Cause and Cardiovascular Mortality: How Does Frailty Modify This Association?

To investigate how frailty modifies the association of sitting time with all-cause and cardiovascular mortality in Chilean adults. This prospective study included 2,604 participants aged ≥35 from the Chilean National Health Survey 2009-2010. Sitting time was self-reported, while frailty was assessed using a 36-item Frailty Index. Sitting time was categorized as low, medium, and high. Cox proportional hazard models were used to estimate the risk of mortality stratified for the sitting time categories. Over a median follow-up of 8.9 years, 311 participants died, 28% of them due to cardiovascular events. Frail people with prolonged sitting time were at higher risk of all-cause and cardiovascular mortality (hazard ratio 3.13; 95% confidence interval [2.06, 4.71] and hazard ratio 2.41; 95% confidence interval [1.50, 3.64], respectively). The observed risk was higher in women than men. Public health and individual strategies should be implemented to decrease sitting time across the population, with special attention on frail people.

Longitudinal patterns of lifestyle risk behaviours among UK adults with established cardiovascular disease: a latent transition analysis

Background

People with cardiovascular disease (CVD) need to engage in healthy lifestyle behaviours. However, there is a gap in identifying longitudinal patterns of change in lifestyle behaviours among people with CVD. This study aimed to identify clustering of lifestyle risk behaviours and their 4 ± year changes among UK adults with CVD, and to determine the associated factors.

Methods

We used the UK Biobank data collected at two time points (2006-2010/baseline data = T0 and 2014+/third visit data = T4). Six key lifestyle risk behaviours were assessed: smoking, high alcohol intake, poor fruit and vegetable consumption, physical inactivity, poor sleep balance (<7 or >8 h/night) and prolonged sitting. A random intercept latent transition analysis was performed to identify patterns of lifestyle risk behaviours at T0 and their changes from T0 to T4.

Results

We included 5,304 participants with CVD whose data on lifestyle risk behaviours were collected at two-time points. Alcohol intake and current smoking were 75.7% and 5.4% at baseline, respectively, and 67.4% and 3.0% at follow-up. Three latent classes emerged: Latent class (LC) 1-"high alcohol intake, poor sleep balance and poor fruit and vegetable intake", LC2-"high alcohol intake and poor fruit and vegetable intake", and LC3-"high alcohol intake". Most adults remained in the same LC over the 4 + years (range: 83.9%-100.0%). After 4 + years, 3.5% from LC3 and 10.4% from LC2 at baseline moved into LC1. The odds of transitioning to LC2 relative to staying in LC1 and LC3 were 2.22 and 4.13 times higher for males than for females, respectively. A single-year increase in participants' age was associated with a 1.16 times increase in the odds of moving to LC1 relative to staying in LC2.

Conclusion

People with CVD did not show improvement in lifestyle risk behaviours, and interventions targeting multiple lifestyle risk behaviours are needed to improve CVD.

Prolonged sitting and peripheral vascular function: potential mechanisms and methodological considerations

Sitting time is associated with increased risks for subclinical atherosclerosis and cardiovascular disease development, and this is thought to be partially due to sitting-induced disturbances in macro- and microvascular function as well as molecular imbalances. Despite surmounting evidence supporting these claims, contributing mechanisms to these phenomena remain largely unknown. In this review, we discuss evidence for potential mechanisms of sitting-induced perturbations in peripheral hemodynamics and vascular function and how these potential mechanisms may be targeted using active and passive muscular contraction methods. Furthermore, we also highlight concerns regarding the experimental environment and population considerations for future studies. Optimizing prolonged sitting investigations may allow us to not only better understand the hypothesized sitting-induced transient proatherogenic environment but to also enhance methods and devise mechanistic targets to salvage sitting-induced attenuations in vascular function, which may ultimately play a role in averting atherosclerosis and cardiovascular disease development.

Assessment of Cardiovascular Risk Factors in Patients with Juvenile Idiopathic Arthritis

Introduction: The aim of this study was to assess the exposure to cardiovascular disease (CVD) risk factors in patients with juvenile idiopathic arthritis (JIA). Intima–media complex thickness (IMT), selected metabolic parameters and health behaviors were assessed in the course of the study. Methods: The study included study group, which consisted of 45 patients with JIA and 37 healthy age- and sex-matched children in the control group. Analyses in both groups included anthropometric parameters, laboratory tests, IMT and a questionnaire on exposure to modifiable CVD risk factors. Results: The study confirmed that CVD risk factors were present in both groups of patients. Significantly more children with JIA had abnormal BMI (p = 0.006) compared to the control group. Children in the study group were more likely to consume fruit regularly (p = 0.021) and less likely to consume fast food (p = 0.011) and sweetened beverages (p = 0.042) than children in the control group. Only 1 patient with JIA met criteria for ideal cardiovascular health. Dietary habits were not associated with IMT values, BMI, presence of joint pain or biochemical parameters in the study group. Conclusions: Patients with JIA are exposed to cardiovascular risk factors equally to their healthy peers. Ideal cardiovascular health should be pursued in the pediatric population with particular attention paid to patients with chronic diseases (i.e., JIA). The application of carotid artery IMT measurement in the assessment of CVD risk requires studies on a larger group of patients.

The Case for Physician Training and Certification in Lifestyle Medicine

Certification in lifestyle medicine demonstrates that a physician has achieved a high level of knowledge, abilities, and skills in this area of specialization. Since the American Board of Lifestyle Medicine (ABLM) began certifying physicians in 2017 through January 2022, about 1850 U.S. diplomates have emerged, with an additional 1375 physicians certified in 72 countries in partnership with the International Board of Lifestyle Medicine. Certification by the ABLM is not only a source of personal pride and accomplishment, but facilitates practice growth, employment opportunities, leadership roles, career satisfaction, and credibility among consumers, the public, payors, and within health systems. In this commentary, we make the case for certification as an integral, and logical, corollary to the explosive growth of the lifestyle medicine as an increasingly relevant, and essential, part of mainstream medical practice.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, 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, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association 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 COVID-19 (coronavirus disease 2019) publications, 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.

Sedentary Behavior Patterns of the Hungarian Adult Population

BACKGROUND AND AIM

Nowadays, a high level of sedentary behavior (SB) is an important health issue. Many studies have focused on evaluating the physical activity (PA) level, while evaluation of SB has received less attention. The main goal of the present study is to describe the sedentary lifestyle of the Hungarian adult population and identify the vulnerable groups with high amount of sitting time and the patterns of SB. Another aim of this study is to compare the two types of questionnaires (International Physical Activity Questionnaire-IPAQ and Sedentary Behavior Questionnaire-SBQ) related to sitting time.

METHODS

This study analyzed cross-sectional primary data using self-reported questionnaires collected by a Hungarian research market company among the adult population in Hungary. The final sample of this study consisted of 1295 participants with a mean age of 45.9 years (SD = 15.2). Analysis of variance (ANOVA) test with post-hoc (Tukey) analysis were used to analyze the link between sitting time and socio-demographic variables (sex, age, BMI, settlement type, education level, marital status, work category, working hours, employment status, sport activity) and body mass index (BMI).

RESULTS AND CONCLUSIONS

According to the SBQ, on average, Hungarians sit for 469.53 min per day (7.81 h) on weekdays and 421.25 min per day (7.01 h) on weekends, which suggested a significant difference compared to IPAQ data: 287.82 min per day (4.79 h) on weekdays and 224.30 min per day (3.73 h) on weekends. Young people (aged between 18 and 29) were reported to have the highest average sitting time, i.e., 545 min per day (more than 9 h), and are showing the highest prevalence (53%) of sitting at least 480 min (8 h) per day. Sitting workers also had a high average sitting time, i.e., 514.82 min per day, and a high prevalence (49.3%) of sitting at least 480 min (8 h) per day. People who live in the capital city had higher sitting time, especially on working days. Men sat longer than woman, i.e., 19 min on working days and 45 min on weekends. The most frequent sedentary activities are: working on computer (126 min) on working days and watching TV (130 min) on weekends. Our results clearly show that the self-report single-item measure (IPAQ) significantly underestimates sedentary time compared to the multi-item questionnaire (SBQ). We identified vulnerable groups with high sitting times: men, young adults, inhabitants of the capital city and sitting workers. Consequently, these groups should be continuously surveyed, and requires specific interventions and strategies that particularly counteract the increased sitting time.

Evaluating the causal relationship between five modifiable factors and the risk of spinal stenosis: a multivariable Mendelian randomization analysis

Background

Spinal stenosis is a neurological disorder related to the compression of the spinal cord or nerve roots, and its incidence increases yearly. We aimed to use Mendelian randomization (MR) to investigate the causal relationship between several modifiable risk factors and the risk of spinal stenosis.

Methods

We obtained genome-wide association study summary data of large-sample projects (more than 100,000 individuals) from public databases. The data were associated with traits, including years of schooling (educational attainment) from the IEU OpenGWAS Project, smoking behavior (never vs. initiation) from the IEU OpenGWAS Project, body mass index (BMI) from the UK Biobank, length of mobile phone use from the UK Biobank, time spent watching television (TV) from the UK Biobank, and spinal stenosis from FinnGen biobank. Spinal stenosis was used as the outcome, whereas the other four traits were used as exposures. Inverse variance weighted (IVW) regressions were used as a primary to estimate the causal-effect size. Several sensitive analyses (including consistency, heterogenicity, and pleiotropy analyses) were conducted to test the stability and reliability of causal estimates.

Results

Univariable MR analyses showed that genetically predicted higher educational attainment (IVW; odds ratio (OR) = 0.606; 95% confidence interval (CI): 0.507-0.724; P = 3.37 × 10^-8) and never smoking (IVW; OR = 1.388; 95% CI [1.135-1.697]; P = 0.001) were negatively correlated with the risk of spinal stenosis. Meanwhile, a higher BMI (IVW; OR = 1.569; 95% CI [1.403-1.754]; P = 2.35 × 10^-8), longer time spent using a mobile phone (IVW; OR = 1.895; 95% CI [1.306-2.750]; P = 0.001), and watching TV (IVW; OR = 1.776; 95% CI [1.245-2.532]; P = 0.002) were positively associated with the risk of spinal stenosis. Multivariable MR analysis indicated that educational attainment (IVW; OR = 0.670; 95% CI [0.465-0.967]; P = 0.032) and BMI (IVW; OR = 1.365; 95% CI [1.179-1.580]; P = 3.12 × 10^-5) were independently causally related to the risk of spinal stenosis.

Conclusion

Our findings supported the potential causal associations of the five factors (educational attainment, smoking behavior, BMI, length of mobile phone use, and watching TV) with the risk for spinal stenosis. While replication studies are essential, these findings may provide a new perspective on prevention and intervention strategies directed toward spinal stenosis.

Impact of Fitness Influencers on the Level of Physical Activity Performed by Instagram Users in the United States of America: Analytical Cross-Sectional Study

BACKGROUND

Physical activity positively influences the general population's health. Social media networks may promote changes in physical activity habits. This study aimed to analyze the relation between being encouraged to perform physical activity by fitness influencers on Instagram and the level of physical activity performed.

METHODS

An analytical cross-sectional study was performed in 890 United States residents with an Instagram account. The sample was made up of 79.2% females and of 75.4% millennials (born between 1981-1996). Physical activity was measured with the International Physical Activity Questionnaire. Sociodemographic characteristics were registered.

RESULTS

The percentage of females (p = 0.001), millennials (p < 0.001), students (p < 0.001), participants with normal BMI (p = 0.001), and participants performing more than 150 min per week of moderate physical activity (p = 0.014) was significantly higher in the group that felt encouraged to perform physical activity by the information posted by fitness influencers. This group spent a median of 2 h per week on Instagram checking for nutrition or exercise (p < 0.001).

CONCLUSIONS

United States residents who felt encouraged to perform physical activity by fitness influencers on Instagram achieved more the World Health Organization recommendations for substantial health benefit for moderate physical activity. They were predominantly females and millennials with normal weight and spent more time on Instagram checking for nutrition or exercise.

Effects of lifestyle risk behaviour clustering on cardiovascular disease among UK adults: latent class analysis with distal outcomes

Lifestyle risk behaviours such as smoking, physical inactivity, and unhealthy diet account for a considerable disease burden globally. These risk behaviours tend to cluster within an individual, which could have detrimental health effects. In this study, we aimed to examine the clustering effect of lifestyle risk behaviours on cardiovascular disease (CVD) and CVD risk among adults in the United Kingdom (UK). We performed a latent class (LC) analysis with distal outcomes using the UK Biobank baseline (2006-2010) data. First, we estimated LC measurement models, followed by an auxiliary model conditional on LC variables. We reported continuous (mean difference-MD) and binary (odds ratio-OR) outcomes with 95% confidence intervals. We included 283,172 and 174,030 UK adults who had data on CVD and CVD risk, respectively. Multiple lifestyle risk behaviour clustering (physically inactive, poor fruit & vegetable intake, high alcohol intake, and prolonged sitting) had a 3.29 mean increase in CVD risk compared to high alcohol intake. In addition, adults with three risk behaviours (physically inactive, poor fruit & vegetable intake, and high alcohol intake) had 25.18 higher odds of having CVD than those with two risk behaviours (physically inactive, and poor fruit and vegetable intake). Social deprivation, gender and age were also associated with CVD. Individuals' LC membership with two or more lifestyle risk behaviours negatively affects CVD. Interventions targeting multiple lifestyle behaviours and social circumstances should be prioritized to reduce the CVD burden.

Genetic susceptibility, screen-based sedentary activities and incidence of coronary heart disease

BACKGROUND

Whether the associations of time spent in screen-based sedentary activities with CHD vary by genetic susceptibility is currently unknown. The objective of this study was to examine the interplay of genetic susceptibility to CHD and two prevalent types of screen-based sedentary activities (television [TV] viewing and computer use) for CHD incidence.

METHODS

This prospective cohort study included 373,026 individuals of European ancestry without prevalent CHD/stroke from UK Biobank data. Genetic susceptibility to CHD was assessed using weighted polygenic risk scores, calculated by summing the number of risk-increasing alleles among 300 single-nucleotide polymorphisms, multiplied by their corresponding effect estimates. TV viewing and computer use were assessed through touch-screen questionnaires. CHD incidence (n=9185) was adjudicated over a median 12.6-year follow-up.

RESULTS

Compared with ≥4h/day of TV viewing, the hazard ratio of CHD was 0.84 (95% confidence interval [CI] 0.79-0.90) and 0.94 (0.90-0.99) for ≤1h/day and 2-3h/day of TV viewing, respectively, after adjusting for confounders including the genetic risk. CHD hazards were higher for medium and high genetic risk than for low genetic risk. Across all levels of genetic risk including high-genetic risk, ≤1h/day of TV viewing had lower CHD hazards, compared with ≥4h/day: no evidence of interaction between genetic risk and TV viewing (p value: 0.362). Estimates of the population attributable fraction (PAF) suggested that 10.9% (95% CI 6.1-15.3%) of CHD could be prevented if TV viewing time were reduced to ≤1h/day, assuming causality. The PAF values were relatively larger for medium-to-high genetic risk than for low genetic risk, although the CIs were wide and overlapping. No associations were observed for computer use.

CONCLUSIONS

Less TV viewing time was associated with lower CHD risk independently of genetic risk. Clinical trials targeted at individuals with high genetic susceptibility should consider reducing TV viewing as as a behavioural target for prevention of an early onset of cardiovascular events.

Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, 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, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.

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.

Association of sedentary time and carotid atherosclerotic plaques in patients with type 2 diabetes

BACKGROUND

Atherosclerosis is a common complication in patients with type 2 diabetes (T2DM). Multiple factors are involved in the development and progress of atherosclerosis. We evaluated the association of weekly sedentary time (WST) with carotid plaque formation.

METHODS

After data cleaning, a total of 26 664 participants with T2DM from 10 National Metabolic Management Centers (MMCs) from June 2017 to April 2021 were enrolled. Self-reported lifestyle data including WST, sleeping time, smoking and drinking information, carotid artery ultrasound, and biochemical parameters were obtained. The independent association of carotid plaue with sedentary and other lifestyle behaviors was evaluated using multivariable logistic regression models, and odds ratio (OR) with 95% confidence interval (CI) were reported. Moreover, stratified analysis was conducted to demonstrate the influence of confounding factors.

RESULTS

The mean (SD) age of the participants was 54.0 (11.6) years, and the median (interquartile range) WST was 35.0 (21.0, 42.0) h. Comparing with participants in the first tertile of WST, those in the second or third tertile of WST were younger and with a shorter duration of diabetes. There were positive associations between longer sedentary time and odds of artery plaque after adjustment, with corresponding ORs in the second and third tertile were 1.40 (95% CI: 1.31-1.50) and 1.67 (95% CI: 1.56-1.79), respectively. However, the effect of WST on plaque in patients aged 18-40 years old had no statistical significance; the p value in the third tertile was 0.163.

CONCLUSIONS

In summary, higher WST appears to be associated with higher prevalence of carotid plaque in patients with T2DM, especially in aged populations.

Daily sitting time and its association with non-communicable diseases and multimorbidity in Catalonia

Background

Non-communicable diseases (NCDs) account for 71% of deaths worldwide and individual behaviours such as sedentariness play an important role on their development and management. However, the detrimental effect of daily sitting on multiple NCDs has rarely been studied. This study sought (i) to investigate the association between sitting time and main NCDs and multimorbidity in the population of Catalonia and (ii) to explore the effect of physical activity as a modifier of the associations between sitting time and health outcomes.

Methods

Cross-sectional data from the 2016 National Health Survey of Catalonia were analyzed, and multivariable logistic regression, adjusting for socio-demographics and individual risk factors (tobacco and alcohol consumption, diet, hyperlipidaemia, hypertension, body mass index) was used to estimated odds ratios (ORs) and 95% confidence intervals (CIs) of the association between sitting time and NCDs.

Results

A total of 3320 people ≥15 years old were included in the study. Sitting more than 5 h/day was associated with a higher risk of cardiovascular disease (OR 1.90, 95% CI: 1.21–2.97), respiratory disease (OR 1.61, 95% CI: 1.13–2.30) and multimorbidity (OR 2.80, 95% CI: 1.53–5.15). Sitting more than 3 h/day was also associated with a higher risk of multimorbidity (OR 2.26, 95% CI: 1.23–4.16). Physical activity did not modify the associations between sitting time and any of the outcomes.

Conclusions

Daily sitting time might be an independent risk factor for some NCDs, such as cardiovascular disease, respiratory disease and multimorbidity, independently of the level risk of physical inactivity.

Behavioral Medicine for Sedentary Behavior, Daily Physical Activity, and Exercise to Prevent Cardiovascular Disease: A Review

PURPOSE OF REVIEW

Behavioral medicine is a multidisciplinary field that has a key role in reducing risk factors for cardiovascular disease (CVD). The purpose of this review is to describe the role of behavioral medicine for CVD prevention, using physical activity behaviors (e.g., sedentary behavior, daily physical activity, or exercise) as an exemplar. Application of behavioral medicine to improve dietary behaviors is also briefly discussed.

RECENT FINDINGS

Behavioral medicine interventions that address physical activity behaviors are associated with improved cardiovascular risk factors. Interventions framed in behavior change theory that integrate behavior change techniques to reduce sedentary behavior and promote daily physical activity and exercise have similarly been applied to improve certain dietary behaviors and show promise for reducing CVD risk factors. Behavioral medicine has an important role in improving various physical activity behaviors for all populations, which is essential for preventing or managing CVD. Further investigation into behavioral medicine interventions that address personal, environmental, and social factors that influence participation in physical activity behaviors, as well as the adoption of a more optimal dietary pattern, is warranted.