Objectives To examine tracking and predictiveness of childhood lipid levels, blood pressure, and body mass index for risk profile in adulthood and the best age to measure the childhood risk factor ...levels. Study design Study subjects were participants of the longitudinal Cardiovascular Risk in Young Finns Study, started in 1980 (age 3, 6, 9, 12, 15, and 18 years). A total of 2204 subjects participated to the 27-year follow-up in 2007 (age, 30 to 45 years). Results In both sex groups and in all age groups, childhood risk factors were significantly correlated with levels in adulthood. The correlation coefficients for cholesterol levels and body mass index were 0.43 to 0.56 ( P < .0001), and for blood pressure and triglyceride levels, they were 0.21 to 0.32 ( P < .0001). To recognize children with abnormal adult levels, the National Cholesterol Education Program and the National High Blood Pressure Education Program cutoff points for lipid and blood pressure values and international cutoff points for overweight and obesity were used. Age seemed to affect associations. The best sensitivity and specificity rates were observed in 12- to 18-year-old subjects. Conclusions Childhood blood pressure, serum lipid levels, and body mass index correlate strongly with values measured in middle age. These associations seemed to be stronger with increased age at measurements.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Objectives To examine the utility of continuous metabolic syndrome (cMetS) scores vs a dichotomous metabolic syndrome (MetS) definition in youth to predict adult type 2 diabetes mellitus (T2DM) and ...carotid intima-media thickness (IMT). Study design Participants (n = 1453) from the population-based, prospective, observational Cardiovascular Risk in Young Finns Study who were examined in youth (when aged 9-18 years) and re-examined 15-25 years later. Four cMetS scores were constructed according to procedures most often used in the literature that comprised the youth risk factor inputs of body mass index, blood pressure, glucose, insulin, high-density lipoprotein-cholesterol, and triglycerides. Adult outcomes included T2DM and high carotid IMT (≥90th percentile). Results For a 1 SD increase in cMetS scores in youth, participants had a 30%-78% increased risk of T2DM and 12%-61% increased risk of high carotid IMT. Prediction of adult T2DM and high carotid IMT using cMetS scores in youth was essentially no different to a dichotomous MetS definition with area under the receiver-operating characteristic curve ranging from 0.54-0.60 (continuous definitions) and 0.55-0.59 (dichotomous) with 95% CIs often including 0.5, and integrated discrimination improvement from −0.2% to −0.6%. Conclusions cMetS scores in youth are predictive of cardiometabolic outcomes in adulthood. However, they do not have increased predictive utility over a dichotomous definition of MetS.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Childhood Levels of Serum Apolipoproteins B and A-I Predict Carotid Intima-Media Thickness and Brachial Endothelial Function in Adulthood: The Cardiovascular Risk in Young Finns Study Markus Juonala, ...Jorma S. A. Viikari, Mika Kähönen, Tiina Solakivi, Hans Helenius, Antti Jula, Jukka Marniemi, Leena Taittonen, Tomi Laitinen, Tapio Nikkari, Olli T. Raitakari Apolipoproteins B and A-I might be good markers of atherogenic dyslipidemia, but there is a paucity of information concerning their importance in childhood. In the present study, apolipoproteins B and A-I measured in children and adolescents were superior to low-density lipoprotein cholesterol and high-density lipoprotein cholesterol in reflecting a lipoprotein profile predisposing to the development of subclinical atherosclerosis in adulthood.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract Background In adults, high blood pressure (BP), adverse serum lipids, and smoking associate with cognitive deficits. The effects of these risk factors from childhood on midlife cognitive ...performance are unknown. Objectives This study sought to investigate the associations between childhood/adolescence cardiovascular risk factors and midlife cognitive performance. Methods From 1980, a population-based cohort of 3,596 children (baseline age: 3 to 18 years) have been followed for 31 years in 3- to 9-year intervals. BP, serum lipids, body mass index, and smoking were assessed in all follow-ups. Cumulative exposure as the area under the curve for each risk factor was determined in childhood (6 to 12 years), adolescence (12 to 18 years), and young adulthood (18 to 24 years). In 2011, cognitive testing was performed in 2,026 participants aged 34 to 49 years. Results High systolic BP, elevated serum total-cholesterol, and smoking from childhood were independently associated with worse midlife cognitive performance, especially memory and learning. The number of early life risk factors, including high levels (extreme 75th percentile for cumulative risk exposure between ages 6 and 24 years) of systolic BP, total-cholesterol, and smoking associated inversely with midlife visual and episodic memory and visuospatial associative learning (–0.140 standard deviations per risk factor, p < 0.0001) and remained significant after adjustment for contemporaneous risk factors. Individuals with all risk factors within recommended levels between ages 6 and 24 years performed 0.29 standard deviations better (p = 0.006) on this cognitive domain than those exceeding all risk factor guidelines at least twice. This difference corresponds to the effect of 6 years aging on this cognitive domain. Conclusions Cumulative burden of cardiovascular risk factors from childhood/adolescence associate with worse midlife cognitive performance independent of adulthood exposure.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Objectives To investigate whether the body mass index (BMI) of a child's mother is associated with an increased future risk of type 2 diabetes, independent of genetic risk or childhood metabolic, ...behavioral, and environmental factors. Study design The analyses were based on the Cardiovascular Risk in Young Finns Study including 1835 individuals aged 3-18 years at baseline with data on maternal BMI, childhood metabolic factors, as well as 34 newly identified type 2 diabetes susceptibility alleles. These subjects were then followed-up over 21-27 years. Results Maternal BMI (OR for 1-SD increase 1.54 95% CI 1.12-2.11, P = .008) and child's systolic blood pressure (1.54 1.01-2.35, P = .04) were significantly associated with increased odds for later type 2 diabetes, in a multivariable analysis adjusted for age, sex, type 2 diabetes genetic risk score, childhood BMI, insulin, lipids, dietary factors, socioeconomic status, and mother's age, and history of type 2 diabetes. A risk prediction model, which included maternal BMI status outperformed one which utilized only child's BMI data (area under the receiver operating characteristic curve 0.720 vs 0.623, P = .02). The inclusion of genetic risk score and other baseline risk variables did not additionally improve prediction (area under the receiver operating characteristic curve 0.720 vs 0.745, P = .40). Conclusions Maternal BMI is a useful variable in determining offspring risk of developing type 2 diabetes.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
The Pathobiological Determinants of Atherosclerosis in Youth (PDAY) study of autopsy findings in subjects 15 to 34 years of age developed a risk score using coronary heart disease risk factors ...(gender, age, serum lipoprotein concentrations, smoking, hypertension, obesity, and hyperglycemia) to estimate the probability of advanced atherosclerotic lesions in the coronary arteries. The Cardiovascular Risk in Young Finns Study measured coronary heart disease risk factors in a population-based cohort in 1986 and 2001 and measured carotid artery intima–media thickness (IMT) with ultrasonography in 2001. We computed the PDAY risk score from risk factors measured in 1,279 subjects who were 12 to 24 years of age in 1986 and 27 to 39 years of age in 2001. The PDAY risk score early in life (i.e., 1986) and the change in risk score in the following 15 years (i.e., 1986 through 2001) were independent predictors of carotid artery intima–media thickness; the multiplicative effect of 1 point in the 1986 risk score was 1.008 (95% confidence interval 1.005 to 1.012) and the multiplicative effect of a 1-point increase between the 1986 and 2001 risk scores was 1.003 (95% confidence interval 1.001 to 1.006; multiplicative effect of 0.997 for a 1-point decrease). In conclusion, the change in risk score over time (decrease or increase) during adolescence and young adulthood, as well as the risk score early in life, are important predictors of atherosclerosis.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Objectives The purpose of this study was to examine the roles of adolescence risk factors in predicting coronary artery calcium (CAC). Background Elevated coronary heart disease risk factor levels in ...adolescence may predict subsequent CAC independently of change in risk factor levels from adolescence to adulthood. Methods CAC was assessed in 589 subjects 40 to 46 years of age from the Cardiovascular Risk in Young Finns Study. Risk factor levels were measured in 1980 (12 to 18 years) and in 2007. Results The prevalence of any CAC was 19.2% (27.9% in men and 12.2% in women). Age, levels of systolic blood pressure (BP), total cholesterol, and low-density lipoprotein cholesterol (LDL-C) in adolescence, as well as systolic BP, total cholesterol, diastolic BP, and pack-years of smoking in adulthood were higher among subjects with CAC than those without CAC. Adolescence LDL-C and systolic BP levels predicted CAC in adulthood independently of 27-year changes in these risk factors. The multivariable odds ratios were 1.34 (95% confidence interval: 1.05 to 1.70; p = 0.02) and 1.38 (95% confidence interval: 1.08 to 1.77; p = 0.01), for 1-SD increase in adolescence LDL-C and systolic BP, respectively. Exposure to both of these risk factors in adolescence (defined as values at or above the age- and sex-specific 75th percentile) substantially increased the risk of CAC (multivariable odds ratio: 3.5 95% confidence interval: 1.7 to 7.2; p = 0.007) between groups with no versus both risk factors. Conclusions Elevated adolescence LDL-C and systolic BP levels are independent predictors of adulthood CAC, indicating that adolescence risk factor levels play an important role in the pathogenesis of coronary heart disease.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Objectives The aim of this study was to examine the effect of resolution from metabolic syndrome (MetS) between youth and adulthood on carotid artery intima-media thickness (IMT) and type 2 diabetes ...mellitus (T2DM). Background Published findings demonstrate that youth with MetS are at increased risk of cardio-metabolic outcomes in adulthood. It is not known whether this risk is attenuated in those who resolve their MetS status. Methods Participants (n = 1,757) from 2 prospective cohort studies were examined as youth (when 9 to 18 years of age) and re-examined 14 to 27 years later. The presence of any 3 components (low high-density lipoprotein cholesterol, high triglycerides, high glucose, high blood pressure, or high body mass index) previously shown to predict adult outcomes defined youth MetS; the harmonized MetS criteria defined adulthood MetS. Participants were classified according to their MetS status at baseline and follow-up and examined for risk of high IMT and T2DM. Results Those with MetS in youth and adulthood were at 3.4 times the risk (95% confidence interval: 2.4 to 4.9) of high IMT and 12.2 times the risk (95% confidence interval: 6.3 to 23.9) of T2DM in adulthood compared with those that did not have MetS at either time-point, whereas those that had resolved their youth MetS status by adulthood showed similar risk to those that did not have MetS at either time-point (p > 0.20 for all comparisons). Conclusions Although youth with MetS are at increased risk of adult high IMT and T2DM, these data indicate that the resolution of youth MetS by adulthood can go some way to normalize this risk to levels seen in those who have never had MetS.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Introduction Type 2 diabetes is a public health concern, but psychosocial factors that may protect against the disease are unknown. This study examines whether a positive psychosocial environment in ...childhood is associated with lower risk for Type 2 diabetes in adulthood or healthier glucose trajectories over the life course, and whether BMI mediates the associations. Methods A cohort of 3,596 Finnish children was followed into adulthood over 32 years. An overall positive psychosocial score, consisting of six subdomains, was measured at study baseline (1980). Relative risk ratios and multilevel growth curve modeling were used to examine associations of the psychosocial score with Type 2 diabetes (2012) and glucose trajectories (1986–2012). The mediating effect by BMI was examined using mediation analysis. The analyses were conducted between June 2015 and January 2016. Results There was a 21% decrease in the rate of Type 2 diabetes (relative risk ratio, 0.79; 95% CI=0.66, 0.94) for each 1-SD increase in the positive psychosocial score after adjustment for childhood cardiovascular risk factors and dietary behaviors. Adult BMI mediated 52% and weight gain mediated 25% of the association. The growth curve model showed healthier glucose trajectories (age X psychosocial score interaction, b= –0.01; p =0.010) for participants with higher versus lower positive psychosocial score in childhood. Conclusions Positive psychosocial environment in childhood seems to have beneficial influences on the risk for Type 2 diabetes over the life span. RCTs will be required to see if interventions directed at early-life circumstances are warranted.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Objectives This study was designed to determine which of the National Cholesterol Education Program or National Health and Nutrition Examination Survey low- and high-density lipoprotein cholesterol ...classifications of dyslipidemia status in adolescents is most effective at predicting high common carotid artery intima-media thickness (IMT) in adulthood. Background Two classifications of pediatric dyslipidemia status have been proposed. No study has assessed which of these is most effective for predicting adolescents who will develop preclinical atherosclerosis in adulthood. Methods Three population-based, prospective cohort studies collected lipoprotein measurements on 1,711 adolescents age 12 to 18 years who were remeasured as young adults age 29 to 39 years. Lipoproteins in adolescence were classified according to National Cholesterol Education Program and National Health and Nutrition Examination Survey cut points, and high IMT in adulthood was defined as those at or above the age-, sex-, race-, and cohort-specific 90th percentile of IMT. Results Independent of the classification employed, adolescents with dyslipidemia were at significantly increased risk of having high IMT in adulthood (relative risks from 1.6 to 2.5). Differences in predictive capacity between both classifications were minimal. Overweight or obese adolescents with dyslipidemia had increased carotid IMT (males: 0.11 mm; females: 0.08 mm) in adulthood compared with those who did not have both risk factors. Adolescent dyslipidemia status was more strongly associated with high IMT in adulthood than change in dyslipidemia status. Conclusions Pediatric dyslipidemia classifications perform equally in the prediction of adolescents who are at increased risk of high IMT in young adulthood. Our data suggest that dyslipidemia screening could be limited to overweight or obese adolescents.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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