Clustering of Metabolic Risk Factors Is Associated with High-Normal Levels of Liver Enzymes Among 6- to 8-Year-Old Children: The PANIC Study

Viitasalo, Anna; Laaksonen, David E.; Lindi, Virpi; Eloranta, Aino-Maija; Jääskeläinen, Jarmo; Tompuri, Tuomo; Väisänen, Sari; Lakka, Hanna‐Maaria; Lakka, Timo A.

doi:10.1089/met.2012.0015

Cited by 26 publications

(23 citation statements)

References 28 publications

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“…Body fat percentage was measured using the Lunar ® dual‐energy x‐ray absorptiometry device (Lunar Prodigy Advance; GE Medical Systems, Madison, WI, USA) the children being in the non‐fasting state, having emptied the bladder, and being in light clothing with all metal objects removed . The assessment of fasting serum insulin and fasting plasma glucose, triglycerides, high‐density lipoprotein (HDL) cholesterol, and low‐density lipoprotein (LDL) cholesterol has been explained previously . Homeostatic Model Assessment for Insulin Resistance (HOMA‐IR) was calculated using the formula fasting serum insulin (mU/L) × fasting plasma glucose (mmol/L)/22.5 .…”

Section: Methodsmentioning

confidence: 99%

Longitudinal associations of physical activity and sedentary time with cardiometabolic risk factors in children

Väistö

Haapala

Viitasalo

et al. 2018

Scandinavian Med Sci Sports

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Background There are few prospective studies on the associations of changes in objectively measured vigorous physical activity (VPA∆), moderate-to-vigorous physical activity (MVPA∆), light physical activity (LPA∆), and sedentary time (ST∆) with changes in cardiometabolic risk factors (∆) in children. We therefore investigated these relationships among children. Methods The participants were a population sample of 258 children aged 6–8 years followed for 2 years. We assessed PA and ST by a combined heart rate and movement sensor; computed continuous age- and sex-adjusted z-scores for waist circumference, blood pressure, and fasting insulin, glucose, triglycerides, and high-density lipoprotein (HDL) cholesterol; and constructed a cardiometabolic risk score (CRS) of these risk factors. Data were analysed using linear regression models adjusted for age, sex, the explanatory and outcome variables at baseline, and puberty. Results VPA∆ associated inversely with CRS∆ (β=-0.209, p=0.001), body fat percentage (BF%)∆ (β=-0.244, p=0.001), insulin∆ (β=-0.220, p=0.001), and triglycerides∆ (β=-0.164, p=0.012) and directly with HDL cholesterol∆ (β=0.159, p=0.023). MVPA∆ associated inversely with CRS∆ (β=-0.178, p=0.012), BF%∆ (β=-0.298, p=<0.001), and insulin∆ (β=-0.213, p=0.006) and directly with HDL cholesterol∆ (β=0.184, p=0.022). LPA∆ only associated negatively with CRS∆ (β=-0.163, p=0.032). ST∆ associated directly with CRS∆ (β=0.218, p=0.003), BF%∆ (β=0.212, p=0.016), and insulin∆ (β=0.159, p=0.049). Conclusions Increased VPA and MVPA and decreased ST were associated with reduced overall cardiometabolic risk and major individual risk factors. Change in LPA had weaker associations with changes in these cardiometabolic risk factors. Our findings suggest that increasing at least moderate-intensity PA and decreasing ST decrease cardiometabolic risk in children.

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Section: Methodsmentioning

confidence: 99%

Longitudinal associations of physical activity and sedentary time with cardiometabolic risk factors in children

Väistö

Haapala

Viitasalo

et al. 2018

Scandinavian Med Sci Sports

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“…The blood samples were analysed at Laboratory of Clinical Chemistry at University Hospital of Kuopio. The assessment of plasma glucose, total, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol and triglycerides as well as serum insulin from 12-hour fasting samples has been explained previously [25]. Very low-density lipoprotein (VLDL) was separated by ultracentrifugation and HDL by precipitation of LDL after removal of VLDL fraction [26].…”

Section: Methodsmentioning

confidence: 99%

Physical activity and sedentary behaviour in relation to cardiometabolic risk in children: cross-sectional findings from the Physical Activity and Nutrition in Children (PANIC) Study

Väistö

Eloranta

Viitasalo

et al. 2014

Int J Behav Nutr Phys Act

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117

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BackgroundLower levels of physical activity (PA) and sedentary behaviour (SB) have been associated with increased cardiometabolic risk among children. However, little is known about the independent and combined associations of PA and SB as well as different types of these behaviours with cardiometabolic risk in children. We therefore investigated these relationships among children.MethodsThe subjects were a population sample of 468 children 6–8 years of age. PA and SB were assessed by a questionnaire administered by parents and validated by a monitor combining heart rate and accelerometry measurements. We assessed body fat percentage, waist circumference, blood glucose, serum insulin, plasma lipids and lipoproteins and blood pressure and calculated a cardiometabolic risk score using population-specific Z-scores and a formula waist circumference + insulin + glucose + triglycerides - HDL cholesterol + mean of systolic and diastolic blood pressure. We analysed data using multivariate linear regression models.ResultsTotal PA was inversely associated with the cardiometabolic risk score (β = -0.135, p = 0.004), body fat percentage (β = -0.155, p < 0.001), insulin (β = -0.099, p = 0.034), triglycerides (β = -0.166, p < 0.001), VLDL triglycerides (β = -0.230, p < 0.001), VLDL cholesterol (β = -0.168, p = 0.001), LDL cholesterol (β = -0.094, p = 0.046) and HDL triglycerides (β = -0.149, p = 0.004) and directly related to HDL cholesterol (β = 0.144, p = 0.002) adjusted for age and gender. Unstructured PA was inversely associated with the cardiometabolic risk score (β = -0.123, p = 0.010), body fat percentage (β = -0.099, p = 0.027), insulin (β = -0.108, p = 0.021), triglycerides (β = -0.144, p = 0.002), VLDL triglycerides (β = -0.233, p < 0.001) and VLDL cholesterol (β = -0.199, p < 0.001) and directly related to HDL cholesterol (β = 0.126, p = 0.008). Watching TV and videos was directly related to the cardiometabolic risk score (β = 0.135, p = 0.003), body fat percentage (β = 0.090, p = 0.039), waist circumference (β = 0.097, p = 0.033) and systolic blood pressure (β = 0.096, p = 0.039). Resting was directly associated with the cardiometabolic risk score (β = 0.092, p = 0.049), triglycerides (β = 0.131, p = 0.005), VLDL triglycerides (β = 0.134, p = 0.009), VLDL cholesterol (β = 0.147, p = 0.004) and LDL cholesterol (β = 0.105, p = 0.023). Other types of PA and SB had less consistent associations with cardiometabolic risk factors.ConclusionsThe results of our study emphasise increasing total and unstructured PA and decreasing watching TV and videos and other sedentary behaviours to reduce cardiometabolic risk among children.Trial registrationClinicalTrials.gov Identifier: NCT01803776.

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“…28 Standard deviation scores were calculated using a calculator based on data derived from samples of children in the UK. 29 Also measurements of insulin, glucose, triglycerides, HDL-C and systolic (SBP) and diastolic BP (DBP) were reported previously.…”

Section: Assessment Of Mets Componentsmentioning

confidence: 99%

“…29 Also measurements of insulin, glucose, triglycerides, HDL-C and systolic (SBP) and diastolic BP (DBP) were reported previously. 28 In this study, however, when BP was used as a confounding factor for the associations of SI, the measurement just before the exercise test in the supine position was used to standardize the hemodynamic state.…”

Section: Assessment Of Mets Componentsmentioning

confidence: 99%

Metabolic Risk Factors Are Associated With Stiffness Index, Reflection Index and Finger Skin Temperature in Children

Veijalainen

Tompuri

Laitinen

et al. 2013

Circ J

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Clustering of Metabolic Risk Factors Is Associated with High-Normal Levels of Liver Enzymes Among 6- to 8-Year-Old Children: The PANIC Study

Cited by 26 publications

References 28 publications

Longitudinal associations of physical activity and sedentary time with cardiometabolic risk factors in children

Longitudinal associations of physical activity and sedentary time with cardiometabolic risk factors in children

Physical activity and sedentary behaviour in relation to cardiometabolic risk in children: cross-sectional findings from the Physical Activity and Nutrition in Children (PANIC) Study

Metabolic Risk Factors Are Associated With Stiffness Index, Reflection Index and Finger Skin Temperature in Children

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