Is replacing time spent in 1 type of physical activity with another associated with health in children?

2019 ◽  
Vol 44 (9) ◽  
pp. 937-943 ◽  
Author(s):  
Anne P. Macgregor ◽  
Michael M. Borghese ◽  
Ian Janssen
Keyword(s):  
Physical Activity ◽  
Risk Factor ◽  
Internalizing Symptoms ◽  
Cardiometabolic Risk ◽  
Health Indicators ◽  
Active Transportation ◽  
Cardiometabolic Risk Factor ◽  
Organized Sport ◽  
Equivalent Time ◽  
Risk Factor Score

Altering the proportion of total physical activity time accumulated while participating in different types of physical activity may influence health. Our objective was to use observational data to estimate whether replacing time from 1 type of physical activity with another is associated with physical and mental health indicators among children. Participants were 385 children aged 10–13 years. They wore a Global Positioning System watch and accelerometer and completed an activity log for 7 days. Data from these instruments was used to estimate time spent in outdoor active play, organized sport, curriculum-based physical activity at school, and active transportation. A cardiometabolic risk factor score was created from body fat, resting heart rate, and resting blood pressure measures. An internalizing symptoms score was created using anxiety and depression symptom questionnaire items. Isotemporal substitution models estimated if health indicators changed when time in 1 type of physical activity was replaced with equivalent time from another. The results indicated that time spent in all types of physical activity combined was associated with the cardiometabolic risk factor and internalizing symptom scores. Replacing active transportation with outdoor active play was associated with an increase in the internalizing symptoms score but a decrease in the cardiometabolic risk factor score. The internalizing symptoms score decreased when active transportation was replaced by equivalent time in organized sport. Other time substitutions were not significant. In conclusion, the total time spent participating in physical activity and not a specific type of physical activity was the most consistent correlate of the health indicators.

scholarly journals Physical Activity and Cardiometabolic Risk Factor Clustering in Young Adults with Obesity

2020 ◽  
Vol 52 (5) ◽  
pp. 1050-1056 ◽  
Author(s):  
LORETTA DIPIETRO ◽  
YUQING ZHANG ◽  
MEGHAN MAVREDES ◽  
SAMUEL J. SIMMENS ◽  
JESSICA A. WHITELEY ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Risk Factor ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factor

scholarly journals Diet quality and cardiometabolic health in childhood: the Generation R Study

2021 ◽  
Author(s):  
Noreen Z. Siddiqui ◽  
Anh N. Nguyen ◽  
Susana Santos ◽  
Trudy Voortman
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Diet Quality ◽  
Cardiometabolic Risk ◽  
Factor Score ◽  
Hdl Cholesterol ◽  
Cardiometabolic Health ◽  
Cardiometabolic Risk Factor ◽  
Fat Percentage ◽  
Risk Factor Score

Abstract Purpose Diet is an important determinant of cardiometabolic disease risk in adults. We aimed to study associations of diet quality with cardiometabolic health in school-age children. Methods This study was embedded in the Generation R Study a prospective population-based cohort in Rotterdam, the Netherlands and included 3991 children. Food intake was assessed with a Food-Frequency Questionnaire at age 8 years. A diet quality score (0–10) was calculated reflecting adherence to age-specific dietary guidelines. The following outcome variables were measured at age 10 years and used to create a continuous cardiometabolic risk factor score: body fat percentage, insulin, triglycerides, HDL cholesterol, and systolic and diastolic blood pressure. Outcomes were expressed in age- and sex-specific standard deviation scores (SDS). Multivariable linear regression models were used to assess associations between the diet quality score and the cardiometabolic risk factor score and with the individual cardiometabolic risk factors. Results In models adjusted for socioeconomic and lifestyle factors and BMI, a higher diet quality was associated with a lower cardiometabolic risk factor score [− 0.08 per point higher diet score, (95% CI − 0.15, − 0.001)]. This association was mainly driven by associations of higher diet quality with lower systolic [− 0.04 SD (95% CI − 0.06, − 0.01)] and diastolic blood pressure [− 0.05 SD, (95% CI − 0.07, − 0.02)]. No statistically significant associations were found for insulin, triglycerides, HDL cholesterol, or body fat percentage as individual factors. Conclusions We found an association between higher diet quality and better cardiometabolic health in childhood, mainly driven by a lower blood pressure. Further research is needed to explore associations of diet quality in childhood with long-term cardiometabolic health.

The Associations Between Cardiovascular Risk Factors, Physical Activity, and Arterial Stiffness in Youth

2013 ◽  
Vol 10 (2) ◽  
pp. 198-204 ◽  
Author(s):  
Darolyn J. Walker ◽  
Andrea MacIntosh ◽  
Anita Kozyrskyj ◽  
Allan Becker ◽  
Jon McGavock
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Risk Factor ◽  
Arterial Stiffness ◽  
Cardiometabolic Risk ◽  
Vigorous Physical Activity ◽  
Cardiometabolic Risk Factor ◽  
Cvd Risk

Background:The primary aim of this population-based study was to determine if arterial stiffness is associated with cardiovascular disease (CVD) risk factor clustering and physical activity in youth 12−14 years old. We hypothesized that arterial stiffness would be positively associated with CVD risk factor clustering and negatively associated with physical activity in a dose-response manner in this cohort of youth.Methods:This was a cross sectional study of 485 youth recruited from the 1995 Manitoba birth cohort. The primary outcome, arterial stiffness, was assessed noninvasively using conventional pulse wave analysis and velocity. The primary exposure variables included 1) a measure of cardiometabolic risk, defined as a composite of novel and traditional risk factors for cardiovascular disease and type 2 diabetes and 2) self-reported physical activity.Results:Neither cardiometabolic risk factor clustering, nor physical activity were associated with either measure of arterial stiffness in this cohort of youth 12−14 years. Cardiometabolic risk decreased with increasing levels of vigorous physical activity, (P < .05) and increased with increasing body mass index.Conclusions:Cardiometabolic risk factor clustering and physical activity are not associated with arterial stiffness in youth 12−14 years of age. Increased vigorous physical activity is associated with reduced cardiometabolic risk in youth independent of body mass index.

scholarly journals Lutein intake at the age of 1 year and cardiometabolic health at the age of 6 years: the Generation R Study

2015 ◽  
Vol 114 (6) ◽  
pp. 970-978 ◽  
Author(s):  
Elisabeth T. M. Leermakers ◽  
Jessica C. Kiefte-de Jong ◽  
Albert Hofman ◽  
Vincent W. V. Jaddoe ◽  
Oscar H. Franco
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Cohort Study ◽  
Prospective Cohort ◽  
Cardiometabolic Risk ◽  
Factor Score ◽  
Population Based ◽  
Cardiometabolic Health ◽  
Cardiometabolic Risk Factor ◽  
Risk Factor Score

AbstractLutein is a carotenoid with strong antioxidant properties. Previous studies in adults suggest a beneficial role of lutein on cardiometabolic health. However, it is unknown whether this relation also exists in children; therefore, we aimed to assess the relation between lutein intake at 13 months of age and cardiometabolic outcomes at the age of 6 years. We included 2044 Dutch children participating in a population-based prospective cohort study. Diet was measured at 13 months of age with an FFQ. Lutein intake was standardised for energy and β-carotene intake. Blood pressure, anthropometrics, serum lipids and insulin were measured at the age of 6 years. Dual-energy X-ray absorptiometry was performed to measure total and regional fat and lean mass. A continuous cardiometabolic risk factor score was created, including the components body fat percentage, blood pressure, insulin, HDL-cholesterol and TAG. Age- and sex-specific standard deviation scores were created for all outcomes. Multivariable linear regression was performed, including socio-demographic and lifestyle variables. Median (energy-standardised) lutein intake was 1317 mcg/d (95 % range 87, 6069 mcg/d). There were no consistent associations between lutein intake at 13 months and anthropometrics and body composition measures at 6 years of age. In addition, lutein intake was not associated with a continuous cardiometabolic risk factor score, nor was it associated with any of the individual components of the cardiometabolic risk factor score. Results from this large population-based prospective cohort study do not support the hypothesis that lutein intake early in life has a beneficial role for later cardiometabolic health.

scholarly journals Results from England’s 2014 Report Card on Physical Activity for Children and Youth

2014 ◽  
Vol 11 (s1) ◽  
pp. S45-S50 ◽  
Author(s):  
Martyn Standage ◽  
Hannah J. Wilkie ◽  
Russell Jago ◽  
Charlie Foster ◽  
Mary A. Goad ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sport Participation ◽  
Report Card ◽  
Active Transportation ◽  
Sedentary Behaviors ◽  
Organized Sport ◽  
Children And Young People ◽  
Systematic Assessment ◽  
Letter Grades ◽  
Nationally Representative

Background:The Active Healthy Kids 2014 England Report Card aims to provide a systematic assessment of how England is performing in relation to engaging and facilitating physical activity (PA) in children and young people.Methods:The systematic methods and processes that underpin the Active Healthy Kids Canada Report Card were used and adapted. Data and evidence were consolidated, reviewed by a panel of content experts, and used to inform the assignment of letter grades (A, B, C, D, F) to 9 core indicators related to PA.Results:Children’s Overall Physical Activity received a grade of C/D. Active Transportation and Organized Sport Participation received grades of C and C-, respectively. The indicators of School and Community and the Built Environment were graded favorable with grades of A- and B, respectively. Active Play, Sedentary Behaviors, Family and Peers, and Government Strategies and Investments were graded as INC (incomplete) due to a lack of nationally representative data and/or as a result of data not mapping onto the benchmarks used to assign the grades.Conclusions:Substantial provision for PA opportunities in England exists. Yet more effort is required to maximize use of these resources to increase PA participation.

scholarly journals Cardiometabolic Risk Factors in Patients with Erectile Dysfunction

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Serhat Tanik ◽  
Savas Sarikaya ◽  
Kürşad Zengin ◽  
Sebahattin Albayrak ◽  
Yunus Keser Yilmaz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Erectile Dysfunction ◽  
Cardiometabolic Risk ◽  
Epicardial Adipose Tissue ◽  
Cardiometabolic Risk Factors ◽  
Cardiometabolic Risk Factor ◽  
Healthy Individuals ◽  
Fat Thickness ◽  
Artery Disease

Introduction. There is an increasing interest in the association between erectile dysfunction (ED) and cardiovascular risk factor. Epicardial adipose tissue (EAT) is associated with insulin resistance, increased cardiometabolic risk, and coronary artery disease. Our aim was to investigate relationships between epicardial fat thickness (EFT) as a cardiometabolic risk factor and erectile dysfunction.Method. We selected 30 erectile dysfunction patients without comorbidities and 30 healthy individuals. IIEF-5 score was applied to all patients, and IIEF-5 score below 22 was considered as erectile dysfunction. EFT was measured by echocardiography.Results. Body mass index (BMI) was higher in ED patients than those without ED (28.19 ± 4.45 kg/m2versus23.84±2.36 kg/m2,P = 0.001, resp.). Waist circumstance (WC) was higher in ED patients than those without ED (106.60±5.90versus87.86 ± 14.51,P = 0.001, resp.). EFT was higher in ED patients compared to non-ED patients (0.49 ± 0.09 cm versus0.45 ± 0.03 cm,P = 0.016, resp.). There was positive correlation among BMI, WC, and EFT. There was negative correlation between EFT and IIEF-5 score (r : -0.632,P = 0.001).Conclusion. EAT, BMI, and WC as cardiometabolic risk factors were higher in erectile dysfunction patients.

Abstract P152: Cardiometabolic Risk Factors in Adolescent Blood Donors

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
James Keeton ◽  
Stephen J Eason ◽  
Merlyn Sayers ◽  
Colby Ayers ◽  
Maria O Gore
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Total Cholesterol ◽  
Blood Donors ◽  
Cardiometabolic Risk ◽  
Blood Donation ◽  
Cardiometabolic Risk Factors ◽  
Cardiometabolic Risk Factor ◽  
Targeted Interventions ◽  
Increased Risk

Objective: Cardiometabolic risk factors have been extensively studied in adults, but to a lesser extent in adolescents. We assessed potential cardiometabolic risk factors in a large cohort of adolescent blood donors. Methods: Glycated hemoglobin (HbA 1c ), blood pressure (BP), and total cholesterol were measured in 10,756 blood donors aged 16-19 years at school blood drives conducted by Carter BloodCare, a large North Texas blood center. Borderline values were defined as HbA 1c 5.7-6.4%, BP (systolic/diastolic) 120-139/80-89 mm Hg, and total cholesterol 170-199 mg/dL. Elevated values were defined as HbA 1c ≥6.5%, BP ≥140/90, and total cholesterol ≥200 mg/dL. Subjects were classified into one of three subcohorts: (A) no borderline or elevated values (“healthy” subcohort); (B) one borderline value; (C) either two borderline values or one elevated value. The subcohorts were further stratified as shown in the Table. Results: Of the 10,756 blood donors, 35.2% had one borderline cardiometabolic risk factor, and 17.9% had either two borderline or one elevated risk factor. There were more girls than boys in the “healthy” subcohort (p<0.0001). Girls had a higher prevalence of borderline or elevated total cholesterol (p<0.0001), whereas boys had higher prevalence of borderline or elevated BP (p<0.0001). Other differences between subcohorts are summarized in the Table. Conclusion: More than half of adolescents in this study had at least one cardiometabolic risk factor that was either borderline or elevated. Blood donation programs can serve as highly efficient and cost-effective gateways for cardiometabolic risk screening in adolescents, with potential for the development of targeted interventions aimed at promoting healthy behaviors early in life, specifically among those at increased risk.

Association Between cardiometabolic risk factor and responsiveness to vitamin D supplementation: A New Approach using Artificial Neural Network analysis

2020 ◽  
Author(s):  
Elahe Allahyari ◽  
Parichehr Hanachi ◽  
Seyed Jamal Mirmoosavi ◽  
Gordon A. Ferns ◽  
Afsane Bahrami ◽  
...  
Keyword(s):  
Vitamin D ◽  
Risk Factor ◽  
Cardiometabolic Risk ◽  
Serum Vitamin ◽  
Vitamin D Supplementation ◽  
Cardiometabolic Risk Factor ◽  
Baseline Serum ◽  
Serum Vitamin D ◽  
Vitamin D Levels ◽  
Artificial Neural

Abstract BackgroundAccumulating data have highlighted the prominence of supplementation as an effective approach for vitamin D deficiency. But individuals vary in their response to vitamin D supplementation. In this study, the effect of cardiometabolic risk factors were evaluate on magnitude of response to vitamin D supplementation by using novel statistical analysis, artificial neural networks(ANNs).Methods608 participants aged between 12 to 19 years old were assed in this prospective interventional study. Nine vitamin D capsules containing 50000IU vitamin D/weekly were given to all participants over the 9 week period. The change in serum 25(OH)D level was calculated as the difference between post-supplementation and basal levels. Suitable ANNs model were selected between different algorithms in the hidden and output layers and different numbers of neurons in the hidden layer. Then, the major determinants in predicting response to vitamin D supplementations were identified (Trial registration: IRCT201509047117N7; 2015-11-25; Retrospectively registered)ResultsSigmoid in both hidden and output layers with 4 hidden neurons had acceptable sensitivity, specificity and accuracy area under the ROC curve in our study. Baseline serum vitamin D (30.4%), waist to hip ratio (10.5%), BMI (10.5%), systolic blood pressure (8%), heart rate (6.4%), and waist circumference (6.1%) were the greatest importance in predicting the response in serum vitamin D levels. ConclusionWe provide the first attempt to relate anthropometric specific recommendations to attain serum vitamin D targets. With the exception of cardiometabolic risk factor, the relative importance of other factors and the mechanisms by which these factors may affect the response requires further analysis in future studies.

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