Association of physical activity with metabolic profile from adolescence to adulthood.

OBJECTIVE: Physical activity benefits cardiometabolic health, but little is known about its detailed links with serum lipoproteins, amino acids, and glucose metabolism at young age. We therefore studied the association of physical activity with a comprehensive metabolic profile measured repeatedly in adolescence. METHODS: The cohort is derived from the longitudinal Special Turku Coronary Risk Factor Intervention Project. At ages 13, 15, 17, and 19 years, data on physical activity were collected by a questionnaire, and circulating metabolic measures were quantified by nuclear magnetic resonance metabolomics from repeatedly assessed serum samples (age 13: n = 503, 15: n = 472, 17: n = 466, and 19: n = 361). RESULTS: Leisure-time physical activity (LTPA;MET h/wk) was directly associated with concentrations of polyunsaturated fatty acids, and inversely with the ratio of monounsaturated fatty acids to total fatty acids (-0.006SD; [-0.008, -0.003]; p < 0.0001). LTPA was inversely associated with very-low-density lipoprotein (VLDL) particle concentration (-0.003SD; [-0.005, -0.001]; p = 0.002) and VLDL particle size (-0.005SD; [-0.007, -0.003]; p < 0.0001). LTPA showed direct association with the particle concentration and size of high-density lipoprotein (HDL), and HDL cholesterol concentration (0.004SD; [0.002, 0.006]; p < 0.0001). Inverse associations of LTPA with triglyceride and total lipid concentrations in large to small sized VLDL subclasses were found. Weaker associations were seen for other metabolic measures including inverse associations with concentrations of lactate, isoleucine, glycoprotein acetylation, and a direct association with creatinine concentration. The results remained after adjusting for body mass index and proportions of energy intakes from macronutrients. CONCLUSIONS: Physical activity during adolescence is beneficially associated with the metabolic profile including novel markers. The results support recommendations on physical activity during adolescence to promote health and possibly reduce future disease risks.

Associations of breastfeeding duration with serum lipid values from infancy until age 20 years - the STRIP study.

BACKGROUND AND AIMS: The effect of breastfeeding duration on childhood lipid levels has remained controversial. In this study, we aimed to establish the long-term associations of breastfeeding duration with future levels of total cholesterol, high-density lipoprotein (HDL) cholesterol, non-HDL cholesterol and low-density lipoprotein cholesterol. In addition, we report lipid levels at the age of seven months depending on the child receiving any breastmilk. METHODS: The sample comprised 999 children participating in the prospective Special Turku Coronary Risk Factor Intervention Project (STRIP). Serum lipid profile was studied at the ages of seven months and 13 months, and annually thereafter until the age of 20 years. Duration of breastfeeding was inquired, and infants were divided into those who received or did not receive any breast milk at the age of seven months (n=533 and n=466, respectively). In addition, breastfeeding duration groups (any breastfeeding for 0-4 months, 4-6 months, 6-9 months, and >9 months) were formed. RESULTS: At the age of seven months infants who at that time received breast milk had higher serum HDL cholesterol (0.95±0.21mmol/l vs. 0.90±0.19 mmol/l; p=0.0018), non-HDL cholesterol (3.38±0.78 mmol/l vs. 3.01±0.67 mmol/l; p<0.001) and total cholesterol levels (4.33±0.80 mmol/l vs. 3.91±0.69 mmol/l; p<0.001) than their peers who did not receive breast milk. From two to 20 years of age serum lipid levels showed no consistent differences between the breastfeeding duration groups. CONCLUSIONS: Our long-term data showed that duration of breastfeeding has no consistent associations with serum lipid concentrations in healthy individuals aged two to 20 years. CLINICAL TRIAL REGISTRATION: www.clinicaltrials.gov, unique identifier NCT00223600.

Decreasing severity of obesity from early to late adolescence and young adulthood associates with longitudinal metabolomic changes implicated in lower cardiometabolic disease risk.

BACKGROUND: Obesity in childhood is associated with metabolic dysfunction, adverse subclinical cardiovascular phenotypes and adult cardiovascular disease. Longitudinal studies of youth with obesity investigating changes in severity of obesity with metabolomic profiles are sparse. We investigated associations between (i) baseline body mass index (BMI) and follow-up metabolomic profiles; (ii) change in BMI with follow-up metabolomic profiles; and (iii) change in BMI with change in metabolomic profiles (mean interval 5.5 years). METHODS: Participants (n = 98, 52% males) were recruited from the Childhood Overweight Biorepository of Australia study. At baseline and follow-up, BMI and the % >95th BMI-centile (percentage above the age-, and sex-specific 95th BMI-centile) indicate severity of obesity, and nuclear magnetic resonance spectroscopy profiling of 72 metabolites/ratios, log-transformed and scaled to standard deviations (SD), was performed in fasting serum. Fully adjusted linear regression analyses were performed. RESULTS: Mean (SD) age and % >95th BMI-centile were 10.3 (SD 3.5) years and 134.6% (19.0) at baseline, 15.8 (3.7) years and 130.7% (26.2) at follow-up. Change in BMI over time, but not baseline BMI, was associated with metabolites at follow-up. Each unit (kg/m2) decrease in sex- and age-adjusted BMI was associated with change (SD; 95% CI; p value) in metabolites of: alanine (-0.07; -0.11 to -0.04; p < 0.001), phenylalanine (-0.07; -0.10 to -0.04; p < 0.001), tyrosine (-0.07; -0.10 to -0.04; p < 0.001), glycoprotein acetyls (-0.06; -0.09 to -0.04; p < 0.001), degree of fatty acid unsaturation (0.06; 0.02 to 0.10; p = 0.003), monounsaturated fatty acids (-0.04; -0.07 to -0.01; p = 0.004), ratio of ApoB/ApoA1 (-0.05; -0.07 to -0.02; p = 0.001), VLDL-cholesterol (-0.04; -0.06 to -0.01; p = 0.01), HDL cholesterol (0.05; 0.08 to 0.1; p = 0.01), pyruvate (-0.08; -0.11 to -0.04; p < 0.001), acetoacetate (0.07; 0.02 to 0.11; p = 0.005) and 3-hydroxybuturate (0.07; 0.02 to 0.11; p = 0.01). Results using the % >95th BMI-centile were largely consistent with age- and sex-adjusted BMI measures. CONCLUSIONS: In children and young adults with obesity, decreasing the severity of obesity was associated with changes in metabolomic profiles consistent with lower cardiovascular and metabolic disease risk in adults.

Obesity during childhood is associated with higher cancer mortality rate during adulthood: the i3C Consortium.

BACKGROUND: In high-income countries, cancer is the leading cause of death among middle-aged adults. Prospective data on the effects of childhood risk exposures on subsequent cancer mortality are scarce. METHODS: We examined whether childhood body mass index (BMI), blood pressure, glucose and lipid levels were associated with adult cancer mortality, using data from 21,012 children enrolled aged 3-19 years in seven prospective cohort studies from the U.S., Australia, and Finland that have followed participants from childhood into adulthood. Cancer mortality (cancer as a primary or secondary cause of death) was captured using registries. RESULTS: 354 cancer deaths occurred over the follow-up. In age-, sex, and cohort-adjusted analyses, childhood BMI (Hazard ratio [HR], 1.13; 95% confidence interval [CI] 1.03-1.24 per 1-SD increase) and childhood glucose (HR 1.22; 95%CI 1.01-1.47 per 1-SD increase), were associated with subsequent cancer mortality. In a multivariable analysis adjusted for age, sex, cohort, and childhood measures of fasting glucose, total cholesterol, triglycerides, and systolic blood pressure, childhood BMI remained as an independent predictor of subsequent cancer mortality (HR, 1.24; 95%CI, 1.03-1.49). The association of childhood BMI and subsequent cancer mortality persisted after adjustment for adulthood BMI (HR for childhood BMI, 1.35; 95%CI 1.12-1.63). CONCLUSIONS: Higher childhood BMI was independently associated with increased overall cancer mortality.

Use of antibiotics and risk of type 2 diabetes, overweight and obesity: the Cardiovascular Risk in Young Finns Study and the national FINRISK study.

PURPOSE: To investigate whether exposure to systemic antibiotics influences the risk of developing type 2 diabetes and overweight/obesity. METHODS: The study sample comprised 2209 (110 with incident diabetes) participants from the population-based Cardiovascular Risk in Young Finns Study (YFS) aged 24-39 years in 2001. The exposure was national linked register data on purchased antibiotic courses between 1993 and 2001. Clinical examinations including BMI were conducted in 2001, 2007 and 2011. Participants with prevalent diabetes in 2001 were excluded. Data on type 2 diabetes was also obtained from two national registers until 2017. Data from four population-based National FINRISK studies were used for replication (N = 24,674, 1866 with incident diabetes). RESULTS: Prior antibiotic exposure (> 5 versus 0-1 antibiotic courses) was associated with subsequent type 2 diabetes in both YFS (OR 2.29; 95%CI 1.33-3.96) and FINRISK (HR 1.73; 95%CI 1.51-1.99). An increased risk for type 2 diabetes was observed in YFS (OR 1.043; 95%CI 1.013-1.074) and FINRISK (HR 1.022; 95%CI 1.016-1.029) per course. Exposure to antibiotics increased the risk of overweight/obesity (BMI > 25 kg/m2) after a 10-year follow-up in YFS (OR 1.043; 95%CI 1.019-1.068) and in FINRISK (OR 1.023; 95%CI 1.018-1.029) at baseline per antibiotic course. Adjustments for confounders from early life in YFS and at baseline in FINRISK, including BMI, socioeconomic status, smoking, insulin, blood pressure, and physical activity, did not appreciably alter the findings. CONCLUSION: Our results show that exposure to antibiotics was associated with increased risk for future type 2 diabetes and overweight/obesity and support judicious antibiotic prescribing.

Influential Periods in Longitudinal Clinical Cardiovascular Health Scores.

The prevalence of ideal cardiovascular health (CVH) among adults in the United States is low and decreases with age. Our objective was to identify specific age windows when the loss of CVH accelerates, to ascertain preventive opportunities for intervention. Data were pooled from 5 longitudinal cohorts (Project Heartbeat!, Cardiovascular Risk in Young Finns Study, The Bogalusa Heart Study, Coronary Artery Risk Development in Young Adults, Special Turku Coronary Risk Factor Intervention Project) from the United States and Finland from 1973 to 2012. Individuals with clinical CVH factors (i.e., body mass index, blood pressure, cholesterol, blood glucose) measured from ages 8 to 55 years were included. These factors were categorized and summed into a clinical CVH score ranging from 0 (worst) to 8 (best). Adjusted, segmented, linear mixed models were used to estimate the change in CVH over time. Among the 18,343 participants, 9,461 (52%) were female and 12,346 (67%) were White. The baseline mean (standard deviation) clinical CVH score was 6.9 (1.2) at an average age of 17.6 (8.1) years. Two inflection points were estimated: at 16.9 years (95% confidence interval: 16.4, 17.4) and at 37.2 years (95% confidence interval: 32.4, 41.9). Late adolescence and early middle age appear to be influential periods during which the loss of CVH accelerates.

Childhood Socioeconomic Disadvantage and Risk of Fatty Liver in Adulthood: The Cardiovascular Risk in Young Finns Study.

Fatty liver is a preventable cause of liver failure, but early risk factors for adulthood fatty liver are poorly understood. We examined the association of childhood socioeconomic disadvantage with adulthood fatty liver and tested adulthood risk factors of fatty liver as possible mediators of this link. The study population comprised 2,042 participants aged 3-18 years at baseline (1980) from the longitudinal Cardiovascular Risk in Young Finns Study. Follow-up with repeated clinical examinations was 31 years. Childhood socioeconomic disadvantage was assessed using data from parents' socioeconomic position and socioeconomic circumstances in participants' residential neighborhoods, categorized as high versus low socioeconomic disadvantage. Fatty liver was determined by ultrasound during the last follow-up (2011) at ages 34-49 years. Childhood and adulthood risk factors, including metabolic biomarkers and lifestyle variables, were assessed in clinical examinations. A total of 18.9% of the participants had fatty liver in adulthood. High childhood socioeconomic disadvantage was associated with an increased risk of fatty liver (risk ratio [95% confidence interval], 1.42 [1.18-1.70]; P = 0.0002). This association was robust to adjustment for age, sex, and childhood risk factors of fatty liver, including high body mass index, elevated insulin, and low birth weight (1.33 [1.09-1.62]; P = 0.005). High childhood socioeconomic disadvantage was also associated with the development of risk factors of fatty liver in adulthood. Adulthood risk factors linking childhood socioeconomic disadvantage with fatty liver included waist circumference (proportion mediated of the total effect of childhood socioeconomic disadvantage, 45%), body mass index (40%), systolic blood pressure (29%), insulin (20%), physical activity (15%), triglycerides (14%), and red meat consumption (7%). Conclusion: Childhood socioeconomic disadvantage was associated with multiple risk factors of fatty liver and increased likelihood of fatty liver in adulthood.

Cumulative effect of psychosocial factors in youth on ideal cardiovascular health in adulthood: the Cardiovascular Risk in Young Finns Study.

BACKGROUND: The American Heart Association has defined a new metric of ideal cardiovascular health as part of its 2020 Impact Goals. We examined whether psychosocial factors in youth predict ideal cardiovascular health in adulthood. METHODS AND RESULTS: Participants were 477 men and 612 women from the nationwide Cardiovascular Risk in Young Finns Study. Psychosocial factors were measured from cohorts 3 to 18 years of age at the baseline of the study, and ideal cardiovascular health was examined 27 years later in adulthood. The summary measure of psychosocial factors in youth comprised socioeconomic factors, emotional factors, parental health behaviors, stressful events, self-regulation of the child, and social adjustment of the child. There was a positive association between a higher number of favorable psychosocial factors in youth and greater ideal cardiovascular health index in adulthood (ß=0.16; P<0.001) that persisted after adjustment for age, sex, medication use, and cardiovascular risk factors in childhood (ß=0.15; P<0.001). The association was monotonic, suggesting that each increment in favorable psychosocial factors was associated with improvement in cardiovascular health. Of the specific psychosocial factors, a favorable socioeconomic environment (ß=0.12; P<0.001) and participants' self-regulatory behavior (ß=0.07; P=0.004) were the strongest predictors of ideal cardiovascular health in adulthood. CONCLUSIONS: The findings suggest a dose-response association between favorable psychosocial factors in youth and cardiovascular health in adulthood, as defined by the American Heart Association metrics. The effect seems to persist throughout the range of cardiovascular health, potentially shifting the population distribution of cardiovascular health rather than simply having effects in a high-risk population.

Ideal cardiovascular health in adolescence: effect of lifestyle intervention and association with vascular intima-media thickness and elasticity (the Special Turku Coronary Risk Factor Intervention Project for Children [STRIP] study).

BACKGROUND: In the Special Turku Coronary Risk Factor Intervention Project for Children (STRIP) study, repeated dietary counseling introduced in infancy and maintained until 20 years of age has led to lower intakes of saturated fat and serum low-density lipoprotein cholesterol. In this study, we examined prospectively the intervention effects on the ideal cardiovascular health concept recently described by the American Heart Association. Additionally, we investigated the association between the concept and vascular intima-media thickness and elasticity in adolescence. METHODS AND RESULTS: In adolescents participating in the longitudinal, randomized, atherosclerosis-prevention STRIP study, complete data on ideal cardiovascular health metrics were available at 15 (n=394), 17 (n=376), and 19 (n=298) years of age. Aortic intima-media thickness and elasticity were measured with ultrasonography at the same ages. None of the adolescents had all 7 ideal cardiovascular health metrics. At least 5 ideal metrics was found in 60.2%, 45.5%, and 34.2% of the adolescents at 15, 17, and 19 years of age, respectively. Adolescents in the control group had an increased risk of low ideal cardiovascular health (≤3 metrics) compared with the intervention adolescents (risk ratio=1.35; 95% confidence interval=1.04-1.77). The number of ideal cardiovascular health metrics was inversely associated with aortic intima-media thickness (P<0.0001) and directly associated with elasticity (P=0.045). The risk of having high intima-media thickness (>85th percentile) was nearly 2-fold in adolescents with a low number of metrics (≤3) compared with those with a higher score (risk ratio=1.78; 95% confidence interval=1.31-2.43). CONCLUSIONS: Ideal cardiovascular health as determined by the AHA can be promoted in adolescents. The ideal cardiovascular health concept is beneficially associated with vascular health already in adolescence, supporting the relevance of targeting these metrics as part of primordial prevention. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00223600.

Association of tobacco smoke exposure with metabolic profile from childhood to early adulthood: the Special Turku Coronary Risk Factor Intervention Project.

AIMS: To investigate the associations between passive tobacco smoke exposure and daily smoking with a comprehensive metabolic profile, measured repeatedly from childhood to adulthood. METHODS AND RESULTS: Study cohort was derived from the Special Turku Coronary Risk Factor Intervention Project (STRIP). Smoking status was obtained by questionnaire, while serum cotinine concentrations were measured using gas chromatography. Metabolic measures were quantified by nuclear magnetic resonance metabolomics at 9 (n = 539), 11 (n = 536), 13 (n = 525), 15 (n = 488), 17 (n = 455), and 19 (n = 409) years. Association of passive tobacco smoke exposure with metabolic profile compared participants who reported less-than-weekly smoking and had serum cotinine concentration <1 ng/mL (no exposure) with those whose cotinine concentration was ≥10 ng/mL (passive tobacco smoke exposure). Associations of daily smoking with metabolic profile in adolescence were analysed by comparing participants reporting daily smoking with those reporting no tobacco use and having serum cotinine concentrations <1 ng/mL. Passive tobacco smoke exposure was directly associated with the serum ratio of monounsaturated fatty acids to total fatty acids [ß = 0.34 standard deviation (SD), (0.17-0.51), P < 0.0001] and inversely associated with the serum ratios of polyunsaturated fatty acids. Exposure to passive tobacco smoke was directly associated with very-low-density lipoprotein particle size [ß = 0.28 SD, (0.12-0.45), P = 0.001] and inversely associated with HDL particle size {ß = -0.21 SD, [-0.34 to -0.07], P = 0.003}. Daily smokers exhibited a similar metabolic profile to those exposed to passive tobacco smoke. These results persisted after adjusting for body mass index, STRIP study group allocation, dietary target score, pubertal status, and parental socio-economic status. CONCLUSION: Both passive and active tobacco smoke exposures during childhood and adolescence are detrimentally associated with circulating metabolic measures indicative of increased cardio-metabolic risk.

A substantial proportion of children are affected by tobacco smoke exposure worldwide, and early life exposure to passive tobacco smoke may be even more harmful than active smoking in terms of cardiovascular disease risk. Our study suggests the following: Passive tobacco smoke exposure during childhood is associated with metabolic measures indicative of increased cardio-metabolic risk and that the association profile is similar with active daily smoking during adolescence.Reducing both active and passive tobacco smoke exposures during childhood and adolescence could reduce the risk of future cardio-metabolic disease.

Association of number of siblings with preclinical markers of cardiovascular disease. The cardiovascular risk in Young Finns study.

To investigate the association of number of siblings with preclinical cardiovascular disease (CVD) markers in adulthood. The sample comprised 2776 participants (54 % female) from the Cardiovascular Risk in Young Finns Study who had CVD risk factor data measured in childhood in 1980 (aged 3-18 years) and markers of preclinical CVD measured in adulthood. Echocardiography was performed in 2011, and carotid intima-media thickness, carotid distensibility, brachial flow-mediated dilatation, and arterial pulse wave velocity were measured in 2001 or 2007. The association between the number of siblings and preclinical CVD was assessed using generalized linear and logistic regression models. Analyses were stratified by sex as associations differed between sexes. Women with 1 sibling had lower E/e'-ratio (4.9, [95%CI 4.8-5.0]) in echocardiography compared with those without siblings (5.1[4.9-5.2]) and those with ≥2 more siblings (5.1[5.0-5.2]) (P for trend 0.01). Men without siblings had the lowest E/A-ratio (1.4[1.3-1.5]) compared with those with 1 sibling (1.5[1.5-1.5]), or ≥2 siblings (1.5[1.5-1.5]) (P for trend 0.01). Women without siblings had highest left ventricular ejection fraction (59.2 %[58.6-59.7 %]) compared with those with 1 sibling (59.1 %[58.8-59.4 %]), or ≥2 siblings (58.4 %[58.1-58.8 %])(P for trend 0.01). In women, brachial flow-mediated dilatation, a measure of endothelial function, was the lowest among participants with ≥2 siblings (9.4 %[9.0-9.8 %]) compared with those with 1 sibling (10.0 %[9.6-10.3 %]) and those without siblings (10.4 %[9.7-11.0 %])(P for trend 0.03). We observed that number of siblings may be associated with increased risk of heart failure in women. As the associations were somewhat inconsistent in males and females, further research is warranted.

Association of Ideal Cardiovascular Health in Youth with Cancer Risk in Adulthood: A Cardiovascular Risk in Young Finns Study.

BACKGROUND: Lifestyle factors may affect cancer risk. This study aimed to identify whether the American Heart Association ideal cardiovascular health (ICH) score and its individual variables in youth are associated with subsequent cancer incidence. METHODS: This study comprised participants of the Cardiovascular Risk in Young Finns Study free of cancer at the analysis baseline in 1986 (n = 1,873). The baseline age was 12 to 24 years, and the follow-up occurred between 1986 and 2018. RESULTS: Among 1,873 participants (mean age 17.3 ± 4.1 years; 53.4% females at baseline), 72 incident cancer cases occurred during the follow-up (mean follow-up time 31.4 ± 3.4 years). Baseline ICH score was not associated with future cancer risk (HR, 0.96; 95% confidence interval, 0.78-1.12 per 1-point increment). Of individual ICH score variables, ideal physical activity (PA) was inversely associated with cancer incidence [age- and sex-adjusted HR, 0.45 (0.23-0.88) per 1-category change (nonideal/ideal)] and remained significant in the multivariable-adjusted model, including body mass index, smoking, diet, and socioeconomic status. A continuous PA index at ages 9 to 24 years and moderate-to-vigorous PA in youth were also related to decreased cancer incidence (P < 0.05). Body mass index, smoking, diet, total cholesterol, glucose, and blood pressure were not related to cancer risk. Of the dietary components, meat consumption was associated with cancer incidence (P = 0.023). CONCLUSIONS: These findings indicate that higher PA levels in youth are associated with a reduced subsequent cancer incidence, whereas the American Heart Association's ICH score in youth does not. IMPACT: This finding supports efforts to promote a healthy lifestyle and encourages PA during childhood, yielding a subsequent healthier life.

A Proposed Pediatric Clinical Cardiovascular Health Reference Standard.

INTRODUCTION: Clinical cardiovascular health is a construct that includes 4 health factors-systolic and diastolic blood pressure, fasting glucose, total cholesterol, and body mass index-which together provide an evidence-based, more holistic view of cardiovascular health risk in adults than each component separately. Currently, no pediatric version of this construct exists. This study sought to develop sex-specific charts of clinical cardiovascular health for age to describe current patterns of clinical cardiovascular health throughout childhood. METHODS: Data were used from children and adolescents aged 8-19 years in six pooled childhood cohorts (19,261 participants, collected between 1972 and 2010) to create reference standards for fasting glucose and total cholesterol. Using the models for glucose and cholesterol as well as previously published reference standards for body mass index and blood pressure, clinical cardiovascular health charts were developed. All models were estimated using sex-specific random-effects linear regression, and modeling was performed during 2020-2022. RESULTS: Models were created to generate charts with smoothed means, percentiles, and standard deviations of clinical cardiovascular health for each year of childhood. For example, a 10-year-old girl with a body mass index of 16 kg/m2 (30th percentile), blood pressure of 100/60 mm Hg (46th/50th), glucose of 80 mg/dL (31st), and total cholesterol of 160 mg/dL (46th) (lower implies better) would have a clinical cardiovascular health percentile of 62 (higher implies better). CONCLUSIONS: Clinical cardiovascular health charts based on pediatric data offer a standardized approach to express clinical cardiovascular health as an age- and sex-standardized percentile for clinicians to assess cardiovascular health in childhood to consider preventive approaches at early ages and proactively optimize lifetime trajectories of cardiovascular health.

Ideal cardiovascular health in childhood and cardiometabolic outcomes in adulthood: the Cardiovascular Risk in Young Finns Study.

BACKGROUND: The American Heart Association (AHA) defined a new concept, cardiovascular health, and determined metrics needed to monitor it over time as part of its 2020 Impact Goal definition. Ideal cardiovascular health is defined by the presence of both ideal health behaviors and ideal health factors. The applicability of this concept to a cohort of children and its relationship with cardiometabolic outcomes in adulthood has not been reported. METHODS AND RESULTS: The sample comprised 856 participants aged 12 to 18 years (mean age 15.0 years) from the Cardiovascular Risk in Young Finns Study cohort. Participants were followed up for 21 years since baseline (1986) and had data available concerning health factors and behaviors in childhood and cardiometabolic outcomes in adulthood (2007). The number of ideal cardiovascular health metrics present in childhood was associated with reduced risk of hypertension (odds ratio [95% confidence interval] 0.66 [0.52-0.85], P<0.001), metabolic syndrome (0.66 [0.52-0.77], P<0.001), high low-density lipoprotein cholesterol (0.66 [0.52-0.85], P=0.001), and high-risk carotid artery intima-media thickness (0.75 [0.60-0.94], P=0.01) in adulthood. All analyses were age and sex adjusted, and the results were not altered after additional adjustment with socioeconomic status. CONCLUSIONS: The number of ideal cardiovascular health metrics present in childhood predicts subsequent cardiometabolic health in adulthood. Our findings suggest that pursuit of ideal cardiovascular health in childhood is important to prevent cardiometabolic outcomes in adulthood.

The relationship between temperament, polygenic score for intelligence and cognition: A population-based study of middle-aged adults.

We investigated whether temperament modifies an association between polygenic intelligence potential and cognitive test performance in midlife. The participants (n = 1647, born between 1962 and 1977) were derived from the Young Finns Study. Temperament was assessed with Temperament and Character Inventory over a 15-year follow-up (1997, 2001, 2007, 2012). Polygenic intelligence potential was assessed with a polygenic score for intelligence. Cognitive performance (visual memory, reaction time, sustained attention, spatial working memory) was assessed with CANTAB in midlife. The PGSI was significantly associated with the overall cognitive performance and performance in visual memory, sustained attention and working memory tests but not reaction time test. Temperament did not correlate with polygenic score for intelligence and did not modify an association between the polygenic score and cognitive performance, either. High persistence was associated with higher visual memory (B = 0.092; FDR-adj. p = 0.007) and low harm avoidance with higher overall cognitive performance, specifically better reaction time (B = -0.102; FDR-adj; p = 0.007). The subscales of harm avoidance had different associations with cognitive performance: higher "anticipatory worry," higher "fatigability," and lower "shyness with strangers" were associated with lower cognitive performance, while the role of "fear of uncertainty" was subtest-related. In conclusion, temperament does not help or hinder one from realizing their genetic potential for intelligence. The overall modest relationships between temperament and cognitive performance advise caution if utilizing temperament-related information e.g. in working-life recruitments. Cognitive abilities may be influenced by temperament variables, such as the drive for achievement and anxiety about test performance, but they involve distinct systems of learning and memory.

Modest decrease in severity of obesity in adolescence associates with low arterial stiffness.

BACKGROUND AND AIMS: Childhood obesity is associated with cardiovascular risk factors (CVRF), subclinical cardiovascular phenotypes (carotid intima-media thickness, cIMT; pulse-wave velocity, PWV; and carotid elasticity), and adult cardiovascular disease (CVD) mortality. In youth with obesity (body mass index, BMI ≥95th centile), we investigated associations between changes in adiposity and CVRF in early adolescence and subclinical cardiovascular phenotypes in late adolescence. METHODS: Participants had adiposity measures (the severity of obesity in percentage >95th BMI-centile (%>95th BMI-centile)), waist circumference (WC), percentage total body fat (%BF) and CVRF (systolic blood pressure, SBP; glycoprotein acetyls, GlycA; and low-density lipoprotein cholesterol) assessed in early (mean age 10.2 ± 3.5y) and late (15.7 ± 3.7y) adolescence. Subclinical cardiovascular phenotypes were assessed in late adolescence. Multivariable regression analysis was performed. RESULTS: Decreasing the %>95th BMI-centile was associated with carotid elasticity (0.945%/10 mmHg, p = 0.002) in females, and with PWV in males (-0.75 m/s, p < 0.001). Changes in all adiposity measures (per 1-unit increase) were associated with carotid elasticity (-0.020 to -0.063%/10 mmHg, p < 0.005), and PWV (0.011-0.045 m/s, p < 0.005). Changes in GlycA (per 50µmol-increase) were associated with elasticity (-0.162%/10 mmHg, p = 0.042), and changes in SBP (per 10 mmHg-increase) were associated with PWV (0.260 m/s, p < 0.001). Adjusted for change in BMI, the coefficient for GlycA was reduced by 46% and for SBP by 12%. Only male sex was associated with cIMT (+34 µm, p = 0.006). CONCLUSIONS: In youth with obesity, decreasing or maintaining the severity of obesity, and decreasing the levels of SBP and GlycA from early to late adolescence was associated with low arterial stiffness.

Achievement of the Targets of the 20-Year Infancy-Onset Dietary Intervention-Association with Metabolic Profile from Childhood to Adulthood.

The Special Turku Coronary Risk Factor Intervention Project (STRIP) is a prospective infancy-onset randomized dietary intervention trial targeting dietary fat quality and cholesterol intake, and favoring consumption of vegetables, fruit, and whole-grains. Diet (food records) and circulating metabolites were studied at six time points between the ages of 9-19 years (n = 549-338). Dietary targets for this study were defined as (1) the ratio of saturated fat (SAFA) to monounsaturated and polyunsaturated fatty acids (MUFA + PUFA) < 1:2, (2) intake of SAFA < 10% of total energy intake, (3) fiber intake ≥ 80th age-specific percentile, and (4) sucrose intake ≤ 20th age-specific percentile. Metabolic biomarkers were quantified by high-throughput nuclear magnetic resonance metabolomics. Better adherence to the dietary targets, regardless of study group allocation, was assoiated with higher serum proportion of PUFAs, lower serum proportion of SAFAs, and a higher degree of unsaturation of fatty acids. Achieving ≥ 1 dietary target resulted in higher low-density lipoprotein (LDL) particle size, lower circulating LDL subclass lipid concentrations, and lower circulating lipid concentrations in medium and small high-density lipoprotein subclasses compared to meeting 0 targets. Attaining more dietary targets (≥2) was associated with a tendency to lower lipid concentrations of intermediate-density lipoprotein and very low-density lipoprotein subclasses. Thus, adherence to dietary targets is favorably associated with multiple circulating fatty acids and lipoprotein subclass lipid concentrations, indicative of better cardio-metabolic health.

The Timing and Sequence of Cardiovascular Health Decline.

INTRODUCTION: Childhood declines in cardiovascular health have been linked to the development of subclinical atherosclerosis; however, less is known about the timing and sequence of the decline of the specific cardiovascular health components. The study objective is to identify the patterns of decline and associations with adulthood subclinical atherosclerosis. METHODS: Data were pooled from 5 cardiovascular cohorts. Clinical components of cardiovascular health (BMI, blood pressure, cholesterol, and blood glucose) were categorized as ideal or nonideal using American Heart Association definitions. Multitrajectory models simultaneously fitted the probability ideal for each factor. Adjusted associations between trajectory groups and carotid intima-media thickness were modeled. Data were pooled from December 1, 2015 to June 1, 2019; statistical analysis occurred between June 1, 2019 and June 1, 2020. RESULTS: This study included 9,388 individuals (55% female, 66% White). A total of 5 distinct trajectory groups were created: 1 maintained the ideal levels of all the 4 health factors, 2 had risk onset of a single factor in childhood, 1 had risk onset of multiple factors in childhood, and 1 had risk onset in adulthood. Those with childhood multiple risk onset had 8.1% higher carotid intima-media thickness (95% CI=0.067, 0.095) than those in the ideal group, childhood cholesterol risk onset had 5.9% higher carotid intima-media thickness (95% CI=0.045, 0.072), childhood BMI risk onset had 5.5% higher carotid intima-media thickness (95% CI=0.041, 0.069), and early adulthood multiple risk onset had 2.7% higher carotid intima-media thickness (95% CI=0.013, 0.041). CONCLUSIONS: Those who lost the ideal status of cardiovascular health in childhood and early adulthood had more subclinical atherosclerosis than those who retained the ideal cardiovascular health across the life course, underscoring the importance of preserving the ideal cardiovascular health beginning in childhood and continued into adulthood.

Ideal cardiovascular health in adolescents and young adults is associated with alexithymia over two decades later: Findings from the cardiovascular risk in Young Finns Study: Department: Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.

We evaluated the association of cardiovascular health in adolescence and young adulthood with alexithymia 25 years later. The study sample (n = 1122) participated in evaluations conducted in 1986 (baseline) and in 2011-2012 (T2). Baseline health factors and behaviors were assessed utilizing seven ideal cardiovascular health metrics (ICH index) including blood pressure, cholesterol and glucose levels, smoking, physical activity, body-mass-index, and diet. The stability of the ICH index was evaluated with corresponding assessments in 2007 (T1). At T2, alexithymia was measured with the 20-item Toronto Alexithymia Scale (TAS-20). The main analyses were conducted using ANCOVA and adjusted for depression, age, and present social and lifestyle factors. TAS-20 subscales, Difficulty Identifying Feelings (DIF), Difficulty Describing Feelings (DDF), and Externally Oriented Thinking, were analyzed separately. The ICH index was significantly associated with the TAS-20 total score, as well as both with DIF and DDF. A less ideal cardiovascular health was associated with higher alexithymia scores. However, regarding the separate factors, only the association between non-ideal dietary habits and DIF was significant in the multivariate analyses. The baseline ICH index score was stable from baseline to T1. We conclude that non-ideal cardiovascular lifestyle habits in adolescence and young adulthood are significantly associated with later alexithymia.

Lower grip strength in youth with obesity identifies those with increased cardiometabolic risk.

BACKGROUND: We examined whether grip strength differentiates youth with obesity with increased cardiometabolic risk. METHODS: The sample comprised 43 youth with severe obesity (mean age 14.8, standard deviation 3.0 years) enrolled in the Childhood Overweight BioRepository of Australia. Grip strength was normalized to body mass and categorized as low and moderate/high. RESULTS: Youth with low grip strength had higher systolic blood pressure (mean difference 13mmHg), low-density lipoprotein cholesterol (0.26mmol/l), continuous metabolic syndrome score (0.36), and carotid intima-media thickness (0.05mm) compared with those with moderate/high grip strength. CONCLUSIONS: Low grip strength may differentiate youth with obesity with increased cardiometabolic risk.