Abstract MP20: Evening Chronotype is Associated With Poor Cardiovascular Health and Adverse Health Behaviors in a Diverse Population of Women

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Nour Makarem ◽  
Jacob Paul ◽  
Elsa-Grace Giardina ◽  
MING LIAO ◽  
Brooke Aggarwal
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Sleep Quality ◽  
Health Behaviors ◽  
Cardiovascular Health ◽  
Sedentary Time ◽  
Menopausal Status ◽  
Research Network ◽  
Hormonal Changes ◽  
Adverse Health

Background: Chronotype is the behavioral manifestation of an individual’s innate circadian rhythm. Evening chronotype (i.e. being a “night owl”) is linked to elevated chronic disease and mortality risk in European and Asian populations. Evidence from US cohorts is limited, particularly among women, in whom evening chronotype prevalence becomes higher from midlife onward, coinciding with life stages and hormonal changes associated with higher cardiovascular disease (CVD) risk. Hypothesis: Being a definite evening chronotype would be associated with poor cardiovascular health (CVH) and elevated cardiometabolic risk factors. Methods: Participants were 506 diverse women (mean age=37±16y, 62% racial/ethnic minority) in the AHA Go Red for Women Strategically Focused Research Network at Columbia University. Chronotype was measured using the Morningness-Eveningness Questionnaire (MEQ), the most widely used validated tool by circadian biologists to ascertain chronotype. Higher scores reflected greater morningness. Participants were also categorized as “evening” vs. “intermediate/morning” chronotypes based on their MEQ scores. Health behaviors (diet, physical activity, sleep, and sedentary time) were assessed using validated questionnaires. Health factors (BMI, blood pressure, fasting glucose, and cholesterol) were assessed at the clinic visit. Overall CVH was evaluated using the AHA Life’s Simple 7 (LS7) score (0-8: poor, 9-14: moderate to high). Linear and logistic regression models adjusted for age, race/ethnicity, education, health insurance, and menopause were used to examine associations of chronotype with CVH, clinical risk factors, and health behaviors. Results: Overall, 13% of women identified as being evening chronotypes. Higher MEQ scores (i.e. greater morningness) were associated with higher AHA LS7 scores (β=0.02, p=0.01), indicative of more favorable CVH. Higher MEQ scores were also associated with having a lower Pittsburgh Sleep Quality Index, i.e. better sleep quality, (β=-0.07, p<0.0001), a lower Insomnia Severity Index (β=-0.14, p<0.0001), shorter time to fall asleep (β=-0.28, p=0.04), and less sedentary time (β=-0.11, p=0.001). In contrast, being an evening chronotype was associated with higher odds of poor CVH (OR (95%CI): 2.41 (1.20-4.85)), not meeting AHA diet (OR (95%CI): 2.89 (1.59-5.23)) and physical activity guidelines, (OR (95%CI): 1.78 (1.03-3.07)), and having short sleep (<7h) (OR (95%CI): 2.15 (1.24-3.73)) or insomnia symptoms (OR (95%CI): 2.69 (1.53-4.75)). Conclusions: Women with evening chronotypes have greater odds of having poor CVH and adverse health behaviors after adjustment for sociodemographic factors and menopausal status. Chronotype may be important to consider and target in lifestyle interventions aimed at CVD prevention, particularly among middle-aged and older women who are prone to sleep changes.

Abstract MP16: Reallocating Sedentary Behavior With Sleep or Physical Activity is Associated With Favorable Cardiovascular Health in the Multi-Ethnic Study of Atherosclerosis: MESA

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Charles German ◽  
Nour Makarem ◽  
Jason Fanning ◽  
Susan Redline ◽  
Tali Elfassy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Sedentary Behavior ◽  
Diastolic Blood Pressure ◽  
Cardiovascular Health ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Ethnic Study ◽  
The Mean

Introduction: Sleep, sedentary behavior, and physical activity are each independently associated with cardiovascular health (CVH). However, many studies have investigated these relationships in isolation even though a change in any one given behavior will affect the time spent in the others. It is unknown how reallocating time in sedentary behavior with sleep or physical activity effects overall CVH in a diverse cohort of men and women at risk of cardiovascular disease (CVD). Hypothesis: Reallocating 30 minutes of sedentary time with sleep, light (LIPA), or moderate to vigorous physical activity (MVPA) is associated with more favorable overall CVH due to improvements in risk factors for CVD. Methods: Data for this analysis were taken from the Multi-Ethnic Study on Atherosclerosis (MESA) Sleep Ancillary Study. Eligible participants (n= 1718) wore Actiwatch accelerometers for 24 hours a day, and had at least 3 days of valid accelerometry. Time spent in sleep, sedentary behavior, LIPA, and MVPA was determined based on an established algorithm. The American Heart Association’s life simple 7 was used to represent the CVH score after excluding the physical activity component, with higher scores indicating more favorable CVH. All components were ascertained from MESA exam 5. Isotemporal substitution modeling was conducted to examine the effect of substituting 30 minutes of sedentary time for an equivalent amount of sleep, LIPA, or MVPA. Results: The mean age of participants was 68.3, 54.0% were female and 38.6% were white. The mean CVH score was 5.9 (95%CI: 5.8-6.0). On average, participants spent 499.3 minutes/day in sedentary time, 415.3 minutes/day in LIPA, 26.0 minutes/day in MVPA, and 388.2 minutes/day sleeping. Reallocating 30 minutes of sedentary time to sleep, LIPA, and MVPA was associated with a significantly higher CVH score [β(SE): 0.077(0.023), 0.039(0.017), and 0.485(0.065) respectively]. Reallocating 30 minutes of sedentary time to sleep was associated with lower BMI. Reallocating 30 minutes of sedentary time to LIPA was associated with higher diastolic blood pressure and total cholesterol, and lower BMI. Reallocating 30 minutes of sedentary time to MVPA was associated with lower systolic and diastolic blood pressure, and lower BMI. Conclusions: Our study demonstrates that sleep, LIPA, and MVPA are all positively associated with more favorable overall CVH and several key CVD risk factors. These findings underscore the importance of lifestyle modifications in improving CVH.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

scholarly journals Behavioural risk factors in university students in Bucaramanga, Colombia

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Martinez-Rueda ◽  
M A Camacho ◽  
I J Díaz
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Fruits And Vegetables ◽  
Protective Factor ◽  
Sedentary Time ◽  
Communicable Diseases ◽  
Activity Levels ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Behavioural Risk Factors

Abstract Background The changes generated in the studentś lifestyle due to the academic demands, may favour the prevalence of risk factors for non-communicable diseases as well as compromise other domains of their life. The purpose of this study was to establish the prevalence of behavioural risk factors in students of the Professional in Physical Activity and Sports program of a University in Bucaramanga, Colombia. Methods A cross-sectional study with a sample of 189 students was conducted. The students were surveyed with the first step of the STEPs questionnaire, which evaluates the behavioural risk factors for non-communicable diseases. A descriptive data analysis was performed, and Pearson tests were applied to determine the correlation between the analysed variables with a level of significance α = 0.05 using STATA 13.0. Results 80% of the participants were men. The age average was 22.7 ± 3.85 years. Regarding tobacco use, 10.1% of the participants were current smokers, while 30% smoked before. The majority of the participants (92.2%) have consumed alcohol within the past 12 months, while 69.8% consumed alcohol within the last month, with 8.7% of hazardous drinking. Concerning the diet, only 24.9% met the recommended consumption of fruits and vegetables per day. When assessing physical activity levels, only 6.3% were classified as physically inactive. Additionally, an average of 6 hours of sedentary behaviour was found, with 31.2% of excessive sedentary time. A weak correlation was found between age and academic cycle with the amount of physical activity at work (r = 0.24), (r = 0.18) and with sedentary time (r = -0.28), (-0, 32). Conclusions Although the prevalence of tobacco consumption was slightly higher than the national average, the students showed a lower prevalence of behavioural risk factors than the general population. However, it is necessary to promote strategies aimed at the control and prevention of these risk factors. Key messages Being a student of a program focused on physical activity and sport, can behave as a protective factor against the most prevalent risk factors in university life. It is necessary to implement more strategies centred on making students aware of the importance of the maintenance and improvement of their lifestyles in accordance with their professional profile.

Abstract 04: Racial Disparities in Cardiovascular Health Behaviors are Partially Explained by Socioeconomic, Psychosocial and Environmental Factors: the Coronary Artery Risk Development in Young Adults (CARDIA) Study

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Kara M Whitaker ◽  
David R Jacobs ◽  
Kiarri N Kershaw ◽  
John N Booth ◽  
David C Goff ◽  
...  
Keyword(s):  
Physical Activity ◽  
Environmental Factors ◽  
Health Behavior ◽  
Health Behaviors ◽  
Socioeconomic Factors ◽  
Racial Differences ◽  
Fast Food ◽  
Cardiovascular Health ◽  
Race Difference ◽  
Explanatory Role

Introduction: There are known racial differences in cardiovascular health behaviors, including smoking, physical activity, and diet quality. A better understanding of factors that explain these differences may suggest novel intervention targets for reducing disparities in cardiovascular disease. Objective: To examine whether socioeconomic, psychosocial and environmental factors mediate racial differences in health behaviors. Methods: We studied 3,028 Black or White CARDIA participants who were enrolled at age 18-30 years in 1985-86 and completed the 30 year follow-up visit in 2015-2016. Health behaviors included smoking (current, former ≤ 12 months, never smoker/quit >12 months), physical activity (inactive, active but not meeting guidelines, meeting guidelines), and a surrogate for healthy eating using fast food and sugar-sweetened beverage consumption (frequency per week ≥ 2, some but < 2, none). Each behavior was assigned a value of 0 for poor, 1 for intermediate or 2 for ideal and summed to calculate an overall health behavior score for each participant (range 0-6). The race difference (β) in health behavior score was estimated using linear regression. Formal mediation analyses computed the proportion of the total effect of race on health behavior score explained by socioeconomic, psychosocial, and environmental factors (see Table footnote). Results: Blacks had a lower health behavior score than Whites in crude analyses (mean difference: -1.04, p<0.001). After adjustment for sex, age and field center, socioeconomic factors mediated 50.5% of the association between race and the health behavior score, psychosocial factors 26.8% and environmental factors 9.0% (p<0.05 for all). Joint associations mediated 58.1% of the race-health behavior score association. Conclusions: Observed racial differences in the health behavior score are predominately mediated by socioeconomic factors, which appear to play a stronger explanatory role than psychosocial and environmental factors.

scholarly journals Evitapp: Persuasive Application for Physical Activity and Smoking Cessation

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1208 ◽  
Author(s):  
Antonio Bascur ◽  
Pedro Rossel ◽  
Valeria Herskovic ◽  
Claudia Martínez-Carrasco
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Smoking Cessation ◽  
Mobile Application ◽  
Cardiovascular Health ◽  
Sedentary Lifestyle ◽  
Smoking Habit ◽  
Tracking Devices

The most important risk factors for cardiovascular health are smoking and a sedentary lifestyle. This paper proposes Evitapp, a mobile application designed to promote physical activity and smoking cessation. The application does not use additional tracking devices, rather relying on phone sensors to track physical activity, and on users logging their behavior. Nineteen users tested the application over 10 days. Participants found the applications easy to use and used them approximately once per day. Even though the habits of the experiment participants did not change significantly, those who used the smoking cessation application reported decreasing their smoking habit.

scholarly journals Objectively Measured Physical Activity and Sedentary Time among Children and Adolescents in Morocco: A Cross-Sectional Study

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Issad Baddou ◽  
Asmaa El Hamdouchi ◽  
Imane El Harchaoui ◽  
Kaoutar Benjeddou ◽  
Naima Saeid ◽  
...  
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Cardiovascular Health ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Physical Activity Guideline ◽  
Activity Levels ◽  
Cross Sectional ◽  
Physical Activity Levels ◽  
Objectively Measured

Background. Regular physical activity in childhood and adolescent plays an important role in reducing the risk of cardiovascular health diseases, diabetes, and obesity in adulthood. However, little is known about physical activity levels (PA) and sedentary time among children and adolescents in Morocco. Objective. To examine gender, type of day, and age grade differences in objectively measured sedentary time, physical activity levels, and physical activity guideline attainment among children and adolescents in Morocco. Method. 172 children/adolescents (mean age = 10.92 ± 1.55 years, 49.4% are boys) were recruited for this study and wore a tri-axial accelerometer (GT3X+) for 7 consecutive days. Time spent in sedentary, PA levels, and daily steps were measured and compared according to gender, age grade, and the type of day (weekdays/weekends). Results. In weekdays children/adolescents spent more time in sedentary than weekends (p < 0.001). Boys were eight times more likely to meet the recommendation for at least 60 min of moderate to vigorous physical activity per day than girls (OR: 8.569; 95% [CI]: 4.23–17.32), p < 0.001. Conclusion. These findings highlight the need for effective and sustainable strategies and programs aiming to promote physical activity and to reduce sedentary behavior among children and adolescents in Morocco.

Modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular risk factors

2020 ◽  
pp. 49-58
Author(s):  
Dominique Hansen ◽  
Martin Halle
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Cardiovascular Health ◽  
Exercise Intervention ◽  
Body Fat Mass ◽  
Control Body ◽  
Prevention Of Cardiovascular Disease

Physical activity (PA) and exercise training (ET) are highly effective in the prevention of cardiovascular disease (CVD) via improvement of cardiovascular risk factors (CV RFs), such as blood pressure (BP), lipid profile, glycaemic control, body fat mass, and inflammation. In the first part of this chapter, we describe the currently observed effects of PA and exercise intervention on these RFs. In the second part, we explain which exercise modalities should be selected to optimize these CVD RFs, especially for those patients with multiple CVD RFs.

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