Association between Screen Time and Cardiometabolic Risk Factors and Academic Achievement among Children

Introduction: Sedentary time has been negatively associated with cardiometabolic health in adults. These associations are less clear in youth, may differ by sedentary measurement method, and rarely have been investigated longitudinally. Hypothesis: Greater accelerometer measured sedentary time and reported screen time will be associated with poorer status on cardiometabolic risk factors at baseline and longitudinally. Methods: Obese (BMI ≥ 95th percentile for age and gender) 11-13 year olds were enrolled in a primary care weight loss trial. Half were girls and 82% were Hispanic. Of the 106 participants enrolled, 73 completed baseline and 12-month assessments. Assessments occurred in the clinic and included a fasting blood draw. Table 1 lists the risk factor variables. The first dependent variable was reported screen time (television and computer/video games). The second was total sedentary time, calculated from waist-worn Actigraph accelerometers as percent of wear time with counts < 100 per 60-second epoch. Mplus software was used to fit latent growth parallel processes models, with the intercept of the biomarker regressed on the sedentary time intercept (cross-sectional association), and the slope of the biomarker regressed on the sedentary time slope (longitudinal association). Models were adjusted for potential confounders. Full information maximum likelihood estimation was used to account for missing data. Results: Participants reported 3.2 (SD = 2.0) screen time hours. Associations between screen time and risk factors are presented in Table 1. Total sedentary time (M = 61±11% of wear time) was positively associated with BMI (β = .22; p < .05) at baseline but not with other risk factors. Total sedentary time was not associated with risk factors longitudinally. Conclusion: Changes in screen time but not total sedentary time were associated with cardiometabolic risk factors, specifically BMI, blood glucose, LDL, AST, and ALT. Associations were independent of physical activity and psychosocial diet variables.

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Does body mass index modify the association between physical activity and screen time with cardiometabolic risk factors in adolescents? Findings from a country-wide survey

International Journal of Obesity ◽

10.1038/ijo.2016.210 ◽

2016 ◽

Vol 41 (4) ◽

pp. 551-559 ◽

Cited By ~ 12

Author(s):

F V Cureau ◽

U Ekelund ◽

K V Bloch ◽

B D Schaan

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Body Mass Index ◽

Body Mass ◽

Screen Time ◽

Cardiometabolic Risk ◽

Cardiometabolic Risk Factors

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Increased monocyte to HDL cholesterol ratio in vitamin B12 deficiency: is it related to cardiometabolic risk?

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000668 ◽

2020 ◽

pp. 1-8

Author(s):

Sanem Kayhan ◽

Nazli Gulsoy Kirnap ◽

Mercan Tastemur

Keyword(s):

Risk Factors ◽

Blood Pressure ◽

Uric Acid ◽

Vitamin B12 ◽

Cardiometabolic Risk ◽

Vitamin B12 Deficiency ◽

Left Ventricular ◽

Cardiometabolic Risk Factors ◽

B12 Deficiency ◽

Deficiency Group

Abstract. Vitamin B12 deficiency may have indirect cardiovascular effects in addition to hematological and neuropsychiatric symptoms. It was shown that the monocyte count-to-high density lipoprotein cholesterol (HDL-C) ratio (MHR) is a novel cardiovascular marker. In this study, the aim was to evaluate whether MHR was high in patients with vitamin B12 deficiency and its relationship with cardiometabolic risk factors. The study included 128 patients diagnosed with vitamin B12 deficiency and 93 healthy controls. Patients with vitamin B12 deficiency had significantly higher systolic blood pressure (SBP), diastolic blood pressure (DBP), MHR, C-reactive protein (CRP) and uric acid levels compared with the controls (median 139 vs 115 mmHg, p < 0.001; 80 vs 70 mmHg, p < 0.001; 14.2 vs 9.5, p < 0.001; 10.2 vs 4 mg/dl p < 0.001; 6.68 vs 4.8 mg/dl, p < 0.001 respectively). The prevalence of left ventricular hypertrophy was higher in vitamin B12 deficiency group (43.8%) than the control group (8.6%) (p < 0.001). In vitamin B12 deficiency group, a positive correlation was detected between MHR and SBP, CRP and uric acid (p < 0.001 r:0.34, p < 0.001 r:0.30, p < 0.001 r:0.5, respectively) and a significant negative correlation was detected between MHR and T-CHOL, LDL, HDL and B12 (p < 0.001 r: −0.39, p < 0.001 r: −0.34, p < 0.001 r: −0.57, p < 0.04 r: −0.17, respectively). MHR was high in vitamin B12 deficiency group, and correlated with the cardiometabolic risk factors in this group, which were SBP, CRP, uric acid and HDL. In conclusion, MRH, which can be easily calculated in clinical practice, can be a useful marker to assess cardiovascular risk in patients with vitamin B12 deficiency.

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