scholarly journals Physical Activity and Sedentary Patterns among Metabolically Healthy Individuals Living with Obesity

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Marika de Winter ◽  
Brittany V. Rioux ◽  
Jonathan G. Boudreau ◽  
Danielle R. Bouchard ◽  
Martin Sénéchal
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
Cardiometabolic Risk Factors ◽  
Behavior Patterns ◽  
Metabolically Healthy

Background. Some individuals living with obesity are free from typical cardiometabolic risk factors and are termed metabolically healthy obese (MHO). The patterns of physical activity and sedentary behaviors among MHO are currently unknown. Methods. This study includes 414 youth (12–18 years old), 802 adults (19–44 years old), and 1230 older adults (45–85 years old) living with obesity from the 2003-2004 or 2005-2006 NHANES cycles. Time spent in bouts of 1, 5, 10, 30, and 60 minutes for moderate-to-vigorous physical activity (MVPA) and sedentary time was measured objectively using accelerometers. Participants were categorized as MHO if they had no cardiometabolic risk factors above the identified thresholds (triglycerides, high-density lipoprotein cholesterol, systolic blood pressure, diastolic blood pressure, and glucose). Results. The proportion of MHO was 19%, 14%, and 12% in youth, adults, and older adults, respectively. MHO adults displayed a higher 1-minute bout of MVPA per day compared to non-MHO (p=0.02), but no difference was observed for MVPA and sedentary behavior patterns for youth and older adults. When adjusted for confounders, all bouts of sedentary behavior patterns in youth were significantly associated with being classified as MHO. Conclusion. This study suggests that greater sedentary time is associated with cardiometabolic risk factors in youth even if they are physically active.

Sedentary behavior moderates the relationship between physical activity and cardiometabolic risk in young Latino children

2021 ◽  
Author(s):  
Jamil A Malik ◽  
Jennifer Coto ◽  
Elizabeth R Pulgaron ◽  
Amber Daigre ◽  
Janine E Sanchez ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Sedentary Behavior ◽  
Low Income ◽  
Latent Variables ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Cardiometabolic Risk Factors ◽  
Metabolic Risk ◽  
Latino Children

Abstract This study investigated the role of objectively measured moderate–vigorous physical activity (MVPA) and sedentary behavior on cardiometabolic risk factors of young Latino children. We hypothesized that MVPA would be associated with lower cardiometabolic risk when sedentary behavior is low. We studied 86 primarily low-income, Latino children using a cross-sectional study design. The study sample consisted of 51 girls and 35 boys, with mean age 5.6 (SD = .53) years. Physical activity was measured by accelerometry, anthropometric measures obtained, and fasting blood samples were used to measure cardiometabolic risk factors. Greater levels of sedentary behavior were associated with increased waist circumference (rs = .24, p < .05) and metabolic risks. MVPA, however, had significant beneficial associations with all cardiometabolic risk factors (rs-range = −.20 to −.45, p < .05) with the exception of plasma insulin. MVPA predicted latent variables representing anthropometric risk (β = −.57, p < .01), cardiac risk (β = −.74, p < .01), and metabolic risk (β = −.88, p < .01). Sedentary behavior significantly moderated the effect of MVPA on anthropometric (β-interaction = .49, p < .01), cardiac (β-interaction = .45, p < .01), and metabolic risk (β-interaction = .77, p < .01), such that more MVPA was associated with better health outcomes under conditions of lower sedentary behavior. The model explained 13%, 22%, and 45% variance in anthropometric, cardiac, and metabolic risk factors, respectively. Increased MVPA is associated with decreased cardiometabolic risk in young Latino children, particularly when sedentary behavior is low.

scholarly journals Relationship Between Meeting 24-Hour Movement Guidelines and Cardiometabolic Risk Factors in Children

2017 ◽  
Vol 14 (10) ◽  
pp. 779-784 ◽  
Author(s):  
Peter T. Katzmarzyk ◽  
Amanda E. Staiano
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Adipose Tissue ◽  
Subcutaneous Adipose Tissue ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Density Lipoprotein ◽  
Cardiometabolic Risk Factors ◽  
Subcutaneous Adipose

Background:The purpose of this study was to evaluate the relationship between adherence to pediatric 24-hour movement guidelines (moderate to vigorous physical activity, sedentary behavior, and sleep) and cardiometabolic risk factors.Methods:The sample included 357 white and African American children aged 5–18 years. Physical activity, television viewing, and sleep duration were measured using questionnaires, and the 24-hour movement guidelines were defined as ≥60 minutes per day of moderate to vigorous physical activity on ≥5 days per week, ≤ 2 hours per day of television, and sleeping 9–11 hours per night (ages 5–13 y) or 8–10 hours per night (ages 14–18 y). Waist circumference, body fat, abdominal visceral and subcutaneous adipose tissue, blood pressure, fasting triglycerides, high-density lipoprotein cholesterol, and glucose were measured in a clinical setting.Results:A total of 26.9% of the sample met none of the guidelines, whereas 36.4%, 28.3%, and 8.4% of the sample met 1, 2, or all 3 guidelines, respectively. There were significant associations between the number of guidelines met and body mass index, visceral and subcutaneous adipose tissue, triglycerides, and glucose. There were no associations with blood pressure or high-density lipoprotein cholesterol.Conclusions:Meeting more components of the 24-hour movement guidelines was associated with lower levels of obesity and several cardiometabolic risk factors. Future efforts should consider novel strategies to simultaneously improve physical activity, sedentary time, and sleep in children.

scholarly journals WHAT'S MOTIVATION GOT TO DO WITH IT? USING LATENT PROFILE ANALYSIS FOR BIOMARKERS & PHYSICAL ACTIVITY IN OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S930-S930
Author(s):  
Elizabeth Teas ◽  
Jay Kimiecik ◽  
Rose Marie Ward ◽  
Kyle Timmerman
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Older Adults ◽  
Latent Profile Analysis ◽  
Cardiometabolic Risk ◽  
Profile Analysis ◽  
Cardiometabolic Risk Factors ◽  
Self Determination ◽  
Intuitive Eating ◽  
Diet And Exercise

Abstract Heart disease is prevalent among older adults. The aim of this study was to a) identify different health behavioral motivation profiles among older adults; and b) investigate if these profiles differed in physical activity and cardiometabolic risk factors. Data on 79 participants (mean age = 68.76 years) was collected. Participants’ degree of intrinsic/extrinsic motivation for diet and exercise was assessed using intuitive eating and self-determination scales. Cardiometabolic risk factors included inflammation and blood lipids. Latent profile analysis was used to identify the optimal number of groups and one-way ANOVAs assessed group differences on the variables of interest. Three profiles were found to best represent the data. The most self-determined, or most intrinsically motivated, group comprised the highest number of participants. In line with Self-Determination Theory, this group demonstrated the highest levels of objective and self-reported physical activity as well as the lowest inflammation and most optimal cholesterol measures. The group with the lowest intuitive eating and high identified exercise regulation scores exhibited the worst outcomes among the three groups. The results suggest that among older adults, different types and levels of motivation for diet and exercise can coexist and interact, and these differences produce varying health outcomes. If supported by future work, these findings can inform practitioners in developing more specific and tailored interventions relevant to older adults based on their motivational profile.

Light-Intensity Physical Activity and Cardiometabolic Risk Among Older Adults With Multiple Chronic Conditions

2018 ◽  
Vol 33 (4) ◽  
pp. 507-515 ◽  
Author(s):  
Yueyao Li ◽  
Kellee White ◽  
Katherine R. O’Shields ◽  
Alexander C. McLain ◽  
Anwar T. Merchant
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Older Adults ◽  
Light Intensity ◽  
Total Cholesterol ◽  
Chronic Conditions ◽  
Cardiometabolic Risk ◽  
Multiple Chronic Conditions ◽  
Intensity Physical Activity

Purpose: To assess the relationship between light-intensity physical activity (LIPA) and cardiometabolic risk factors among middle-aged and older adults with multiple chronic conditions. Design: Cross-sectional design utilizing data from the Health and Retirement Study (2010, 2012). Setting: Laboratory- and survey-based testing of a nationally representative sample of community-dwelling middle aged and older adults. Participants: Adults aged 50 years and older (N = 14 996). Measures: Weighted metabolic equivalent of tasks was calculated using self-reported frequency of light, moderate, and vigorous physical activity. Cardiometabolic risk factors (systolic and diastolic blood pressure, glycosylated hemoglobin [HbA1c], high-density lipoprotein cholesterol [HDL-C], total cholesterol, and non-HDL-C) were objectively measured. A multiple chronic condition index was based on 8 self-reported chronic conditions. Analysis: Weighted multivariate linear regression models. Results: Light-intensity physical activity was independently associated with favorable HDL-C (β = 1.25; 95% confidence interval [CI]: 0.46-2.05) and total cholesterol (β = 2.72; 95% CI: 0.53-4.90) after adjusting for relevant confounders. The HDL-C health benefit was apparent when stratified by number of chronic conditions, for individuals with 2 to 3 conditions (β = 1.73; 95% CI: 0.58-2.89). No significant associations were observed between LIPA and blood pressure, HbA1c, or non-HDL-C. Conclusions: Engaging in LIPA may be an important health promotion activity to manage HDL-C and total cholesterol. Additional longitudinal research is needed to determine the causal association between LIPA and cardiometabolic risk which can potentially inform physical activity guidelines targeting older adults with multiple chronic conditions.

scholarly journals Prospective associations between sedentary time, physical activity, fitness and cardiometabolic risk factors in people with type 2 diabetes

Diabetologia ◽  
2015 ◽  
Vol 59 (1) ◽  
pp. 110-120 ◽  
Author(s):  
Maxine J. E. Lamb ◽  
◽  
Kate Westgate ◽  
Søren Brage ◽  
Ulf Ekelund ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
Cardiometabolic Risk Factors

scholarly journals Sitting Time and Cardiometabolic Risk Factors in African American Overweight Women

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Rebecca E. Lee ◽  
Scherezade K. Mama ◽  
Ygnacio Lopez III
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
African American ◽  
Sedentary Behavior ◽  
African American Women ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
Cardiometabolic Risk Factors ◽  
Sitting Time ◽  
Relationship Of

Findings from previous research linking sedentary time with cardiometabolic risk factors and body composition are inconsistent, and few studies address population groups most vulnerable to these compromising conditions. The purpose of this paper was to investigate the relationship of sitting time to cardiometabolic risk factors and body composition among African American women. A subsample of African American women (N=135) completed health and laboratory assessments, including measures of blood pressure, resting heart rate, cholesterol, triglycerides, glucose, body mass index, body fat, sitting time, and demographics. Simultaneous, adjusted regression models found a positive association between weekend sitting time and glucose and an inverse association between weekly sedentary time and cholesterol (ps<.05). There were no significant associations between sedentary behavior and body composition. The unexpected relationship between sedentary time and cholesterol suggests that the relationship of sedentary behavior to cardiometabolic risk factors may depend on existing characteristics of the population and measurement definition of sedentary behavior. Results suggest distinctly different relationships between weekend and weekday sitting time, implicating a need for careful measurement and intervention that reflects these differences.

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.

scholarly journals Associations of Accelerometer‐Measured Sedentary Time and Physical Activity With Prospectively Assessed Cardiometabolic Risk Factors: The CARDIA Study

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Kara M. Whitaker ◽  
Kelley Pettee Gabriel ◽  
Matthew P. Buman ◽  
Mark A. Pereira ◽  
David R. Jacobs ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiometabolic Risk ◽  
Sedentary Time ◽  
Cardiometabolic Risk Factors
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