Cardiometabolic Risk Factors In Adolescents Research Articles

Anthropometry for predicting cardiometabolic disease risk factors in adolescents.

Early screening prevents chronic diseases by identifying at-risk adolescents through anthropometric measurements, but predictive value in diverse groups is uncertain. A cross-sectional analysis of 12- to 19-year-old individuals from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) assessed the predictive ability of BMI percentile, total body fat percentage, waist circumference (WC), and waist-hip ratio (WHR) for four cardiometabolic risk factors across race and ethnicity groups using receiver operating characteristic curves. The unweighted sample (N = 1194; 51.2% male individuals; 23.7% Hispanic, 13.2% non-Hispanic Black [NHB], 51.1% non-Hispanic White [NHW], 12.0% other/multirace) had a weighted prevalence of elevated blood pressure of 2.7%, hyperglycemia of 36.8%, hypertriglyceridemia of 4.8%, and low high-density lipoprotein (HDL) cholesterol of 15%. WHR (area under the curve [AUC] = 0.77), WC (AUC = 0.77), and BMI percentile (AUC = 0.73) outperformed total body fat percentage (AUC = 0.56) in predicting elevated blood pressure (p < 0.001 for all). BMI percentile was more accurate than total body fat percentage in predicting hypertriglyceridemia (AUC = 0.70 vs. 0.59; p = 0.02) and low HDL cholesterol (AUC = 0.69 vs. 0.59; p < 0.001). Race and ethnicity-based predictions varied: NHW adolescents had the highest AUC (0.89; p < 0.01) for elevated blood pressure prediction compared with Hispanic and NHB adolescents (AUC = 0.77 for both). Total body fat percentage was more accurate in predicting low HDL cholesterol among Hispanic versus NHW adolescents (AUC = 0.73 vs. 0.58; p = 0.04). WHR, WC, and BMI percentile are better predictors of cardiometabolic risk factors in adolescents than total body fat percentage. Predictive abilities differed by race and ethnicity, highlighting the importance of tailored risk assessment strategies.

Nonalcoholic Fatty Liver Disease and Continuous Metabolic Syndrome in Adolescents with Overweight/Obesity.

Nonalcoholic fatty liver disease is the leading cause of pediatric chronic liver disease. Although nonalcoholic fatty liver disease is closely associated with obesity, its relationship with metabolic syndrome in children is not fully understood. The main aim of this study was to evaluate the association between nonalcoholic fatty liver disease and a combination of cardiometabolic risk factors in adolescents with overweight/obesity, using a pediatric metabolic syndrome score (PsiMS) to predict metabolic syndrome. A retrospective cohort study was conducted. Subjects with overweight/obesity aged 10 to 17 followed at two clinical centers in Portugal (2018 - 2021) were enrolled. The independent association of nonalcoholic fatty liver disease with PsiMS, and of other potential predictors, was tested through multiple regression analyses. Receiver operator characteristic curve analysis was performed to estimate the optimal cutoff of PsiMS to discriminate metabolic syndrome. Eighty-four subjects were included (median age at baseline 11.5 years). The prevalence rate of nonalcoholic fatty liver disease was 51% and the prevalence rate of metabolic syndrome was 7%. The mean PsiMS was 2.05 ± 0.48 at the first evaluation, and 2.11 ± 0.52 at the last evaluation (mean follow-up time was 15 months). The nonalcoholic fatty liver disease group had significantly (p < 0.05) higher weight and body mass index z-scores, higher rate of severe obesity and higher waist circumference percentile. PsiMS was highly accurate in predicting metabolic syndrome (area under the curve = 0.96), with an optimal cutoff of 2.46 (sensitivity 100%, specificity 89%). In the univariate analysis, no statistically significant association was observed between nonalcoholic fatty liver disease and PsiMS. In the multiple regression analysis, female sex had a negative association with PsiMS (first and last evaluation). Independent predictors of a higher PsiMS at first evaluation were: ≥ 2 metabolic syndrome criteria, body mass index z-score, insulin resistance and dyslipidemia. At the last evaluation, independent predictors of a higher PsiMS were: nonalcoholic fatty liver disease, baseline PsiMS and body mass index increase from baseline. The results suggest a good performance of the PsiMS to assess metabolic syndrome and that nonalcoholic fatty liver disease is associated with PsiMS at follow-up.

Accelerometry-assessed sleep clusters and cardiometabolic risk factors in adolescents.

This study aimed to identify sleep clusters based on objective multidimensional sleep characteristics and test their associations with adolescent cardiometabolic health. The authors included 1090 participants aged 14.3 to 16.4 years (mean = 15.2 years) who wore 7-day accelerometers during the 15-year follow-up of the German Infant Study on the influence of Nutrition Intervention PLUS environmental and genetic influences on allergy development (GINIplus) and the Influence of Lifestyle factors on the development of the Immune System and Allergies in East and West Germany (LISA) birth cohorts. K-means cluster analysis was performed across 12 sleep characteristics reflecting sleep quantity, quality, schedule, variability, and regularity. Cardiometabolic risk factors included fat mass index (FMI), blood pressure, triglycerides, high-density lipoprotein cholesterol, high-sensitivity C-reactive protein, and insulin resistance (n = 505). Linear and logistic regression models were examined. Five sleep clusters were identified: good sleep (n = 337); delayed sleep phase (n = 244); sleep irregularity and variability (n = 108); fragmented sleep (n = 313); and prolonged sleep latency (n = 88). The "prolonged sleep latency" cluster was associated with increased sex-scaled FMI (β = 0.39, 95% CI: 0.15-0.62) compared with the "good sleep" cluster. The "sleep irregularity and variability" cluster was associated with increased odds of high triglycerides only in male individuals (odds ratio: 9.50, 95% CI: 3.22-28.07), but this finding was not confirmed in linear models. The prolonged sleep latency cluster was associated with higher FMI in adolescents, whereas the sleep irregularity and variability cluster was specifically linked to elevated triglycerides (≥1.7 mmol/L) in male individuals.

Consumption of ultra-processed foods and cardiometabolic risk factors in Brazilian adolescents: results from ERICA.

The consumption of ultra-processed foods (UPF) has increased over the past few decades. However, few studies have investigated the association between UPF consumption and cardiometabolic risk factors in adolescents from developing countries. To evaluate the association between UPF consumption and cardiometabolic risk factors in Brazilian adolescents. This study included students aged 12-17 years who participated in the ERICA. Food consumption was assessed using a 24-h food recall, and the foods were classified based on their degree of processing, utilizing the NOVA classification. Participants' blood samples were collected after an overnight fast and exams were performed (triglycerides, total cholesterol, HDL-c, LDL-c, fasting glucose, insulin, and HbA1c). Overweight/obesity and blood pressure were also investigated. Associations were evaluated using Poisson regression models. The analysis included a total of 36,952 adolescents. The energy consumption from UPF was 30.7% (95%CI: 29.7-31.6) per day. Adolescents with high UPF consumption, defined as the top tertile (≥38.7% per day), were observed to have higher intake of sodium, saturated and trans-fat, while having lower intake of proteins, fibers, polyunsaturated fats, vitamins and minerals. After adjusting for potential confounders, it was observed that higher UPF consumption was directly associated with high LDL-c (PR = 1.012; 95%CI: 1.005-1.029) and inversely with low HDL-c (PR = 0.972; 95%CI: 0.952-0.993). No associations were found between UPF consumption and other cardiometabolic risk factors. Brazilian adolescents have presented a high consumption of UPF, which is associated to poor diet quality and can contribute to elevated LDL-c levels.

Association Between Dietary Fiber Intake and Cardiometabolic Risk Factors in Adolescents in the United States

To determine the association between dietary fiber intake and markers of cardiometabolic risk in adolescents, with blood pressure (BP) as the primary outcome of interest and secondary outcome measures including other established markers of childhood cardiometabolic risk, such as obesity, lipids, albuminuria, estimated glomerular filtration rate (eGFR), and uric acid. Dietary fiber intake was assessed by two 24-hour dietary recall interviews, which were averaged and corrected for body weight. Logistic and linear regression models were used to analyze the cross-sectional association between dietary fiber and cardiometabolic markers. Participants aged 13-17 years in the National Health and Nutritional Examination Survey 2009-2018 who completed a 24-hour dietary recall survey were included. Exclusion criteria included pregnancy, small for gestational age status, and history of major health comorbidities. In fully adjusted regression models, low dietary fiber intake was significantly associated with greater diastolic blood pressure (β=-13.29; 95% CI, -20.66 to -5.93), body mass index z-score (β=-0.91; 95% CI, -1.47 to -0.34), and uric acid (β=-0.80; 95% CI, -1.44 to -0.16). The association found between low dietary fiber intake and poor childhood cardiometabolic risk markers indicate a need for prospective studies using fiber intake as a dietary intervention in childhood and as a tool for prevention of many chronic conditions.

Associations of polymorphisms of some genes with cardiometabolic risk factors in adolescents from Novosibirsk

Aim of the study was to investigate the association of polymorphisms of some genes with overweight and certain anthropometric and biochemical parameters in a population sample of adolescents in Novosibirsk. Material and methods. In 2019, a population-based screening of a representative sample of adolescents (609 people) was carried out in Novosibirsk. All children and their parents signed an informed consent for the examination. The study was approved by the local Ethics Committee of the Research Institute of Internal and Preventive Medicine – Branch of the Institute of Cytology and Genetics of SB RAS. During the examination, a questionnaire was filled out, anthropometric measurements were carried out, blood sampling was carried out, followed by a biochemical study. 157 people (75 boys (47.8 %), 82 girls (52.2 %)) were selected for molecular genetic analysis using tables of random numbers. The weight status of adolescents was assessed using the IOTF (International Obesity Task Force) criteria. The subsequent analysis compared 2 groups: 1st group included teenagers with weight deficiency and normal body weight), the 2nd – with overweight, obesity and extreme obesity). Results. In the general group, differences in carriers of different genotypes of the rs9939609 FTO gene were found in the level of low-density lipoprotein cholesterol (LDL-C) (p = 0,024). The girls with the AA rs9939609 genotype had the greatest average thickness of the skin fold in the middle third of the right shoulder. Differences were found in carriers of different genotypes rs7903146 of TCF7L2 gene in the average fasting plasma glucose (FPG) level (p = 0,021). The average thickness of the skin fold in the middle third of the right shoulder was greater in girls carrying the CC genotype compared with carriers of the CT and TT genotypes (p = 0,041). In separate subgroups, in carriers of different genotypes of rs10811661 CDKN2AB gene were found differences in high-density lipoprotein cholesterol, FPN, and waist circumference, in nucleotide sequence variant (NSV) rs2237892 KCNQ1 gene carriers – in triglyceride, FPG, LDL-C and total cholesterol concentration, in rs1111875 HHEX gene carriers – in total cholesterol, LDL-C level, waist and hip circumference, thickness of the skin fold under the scapula, diastolic blood pressure. Conclusions. Associations of the studied NSV (rs9939609, rs7903146, rs10811661, rs2237892, rs1111875) were found in the group as a whole and in separate subgroups (with division by body mass index, gender), with anthropometric and biochemical parameters, such as total cholesterol, triglyceride, LDL-C, FPN content, diastolic blood pressure, waist and hip circumferences, thickness of the skin fold under the scapula and in the middle third of the right shoulder. There were no statistically significant differences in the frequencies of studied NVS genotypes and alleles between the 1st and 2nd groups.

Muscle Strength Indexes and Its Association With Cardiometabolic Risk Factors in Adolescents: An Allometric Approach

ABSTRACT Background and aims: Muscle strength (MS) has been associated with better cardiometabolic health prognosis. However, the result for the beneficial relationship seems to be dependent on the influence of body size in determining MS levels. We investigate the association between allometric MS indexes and its association with cardiometabolic risk factors in adolescents. Methods: It was a cross-sectional study comprising 351 adolescents (male: 44.4%; age range 14–19 years) from Southern Brazil. MS was assessed by handgrip strength and three different allometric approaches were adopted: 1) MS index based on theoretical allometric exponent; 2) MS index including body mass and height; 3) MS index including fat-free mass and height. Obesity, high blood pressure, dyslipidemia, glucose imbalance and high-sensitivity C-reactive protein were investigated as individual factors or as combinations (either as combinations of components – presence of two adverse conditions, or number of components present in an individual - 0, 1, 2, 3+ cardiometabolic risk factors). Logistic and multinomial logistic regression analyses adjusted for confounding factors were used. The statistical significance adopted was 5%. Results: MS index based on theoretical allometric exponent was associated with lower likelihood (OR: 0.54; 95% CI: 0.28 – 0.89) for the presence of three or more cardiometabolic risk factors in the same individual. Conclusion: This study suggests that MS index based on the theoretical allometric exponent can be superior to allometric MS indexes that included body mass and height, or fat-free mass and height in representing the presence of high number of cardiometabolic risk factors in adolescents.

Diet Quality and Cardiometabolic Risk Factors in Adolescents with Down Syndrome.

Youth with Down syndrome (DS) have a high prevalence of obesity and dyslipidemia. Diet quality may influence cardiometabolic risk (CMR) in youth. The aim of this secondary analysis was to investigate the relationship between diet quality (Healthy Eating Index [HEI-2015]) with CMR factors in youth with DS compared with age, sex, race, ethnicity, and body mass index percentile matched, typically developing controls. Adolescents (aged 10 to 20 years) with DS and controls of comparable age, sex, race, ethnicity, and body mass index percentile were recruited from 2012 to 2017 for a cross-sectional study from two large children's hospitals (Children's Hospital of Philadelphia and the Children's National Health System in Washington, DC). CMRs in 143 adolescents with DS were compared with 100 controls. Exclusion criteria consisted of major organ-system illnesses. The average of three 24-hour dietary recalls was used to calculate the HEI-2015. Anthropometrics, blood pressure, and fasting labs were collected. Group differences were tested using Wilcoxon rank-sum tests. Relationships of CMR factors with HEI-2015 score within DS and controls were tested using linear regression models adjusted for sex, age, race, and body mass index z score. Compared with controls (n= 100, median age= 14.8 years [interquartile range= 12.2 to 17.3 years]; 41% male; 24% African American; 65% with body mass index ≥85th percentile), adolescents with DS (n= 143, median age= 14.7 years [interquartile range= 11.4 to 17.4 years]; 44% male; 18% African American; 62% with body mass index ≥85th percentile) had higher scores (more aligned with dietary recommendations) for total HEI-2015 (DS: 52.7 [interquartile range= 46.8 to 58.6] vs controls: 45.1 [interquartile range= 39.5 to 55.0]; P < 0.0001). Youth with DS also had higher HEI-2015 component scores for fruits, greens/beans, dairy, refined grains, and saturated fats, but lower whole grains and sodium scores. Within the group with DS, total HEI-2015 was not significantly associated with CMR measures. Whereas HEI-2015 in the DS group was negatively associated with fasting glucose levels, the difference did not meet the set level of statistical significance (-0.14, 95% CI -0.29 to 0.00; P= 0.053). Adolescents in both the control and DS groups reported low-quality diets, although the DS group had HEI-2015 scores more closely aligned with recommendations. In the DS group, diet quality was not significantly associated with CMR factors. Although further research is needed, these results suggest that dyslipidemia in youth with DS may not be related to dietary intake.

Body Fat Is Superior to Body Mass Index in Predicting Cardiometabolic Risk Factors in Adolescents.

Excess adiposity is one of the main risk factors for the development of cardiovascular and metabolic diseases. The purpose of this study is to compare cardiometabolic risk factors in eutrophic adolescents with a high body fat percentage (%BF) with eutrophic adolescents with adequate %BF and those with excess weight and %BF. Cross-sectional study with 1043 adolescents. This study presented power equal to 99.75%. Body fat and anthropometric, clinical and biochemical indicators were evaluated. Participants were grouped according to body composition classified by body mass index (BMI) and body fat percentage. Statistical analyses were performed using R software version 4.0.2, adopting a significance level of 5%. The Mann-Whitney test, principal components analysis and logistic regression were performed. It was observed that the SG was more similar to GC2 than to GC1 for both sexes, demonstrating that there was a greater similarity between these groups in relation to the evaluated factors. Higher values for TC, SBP and TG were associated with the SG when the CG1 was used as reference, controlled for sex and age. Likewise, higher TC values and lower levels of SBP, TG and LDL were related to SG when the CG2 was used as reference. Body fat assessment is more effective in predicting risk factors and cardiometabolic diseases than BMI alone.

Effect of adiposity and physical fitness on cardiometabolic risk factors in adolescents: A 2-year longitudinal study.

Although risk factors for cardiometabolic diseases begin to present in young people, the association between physical fitness and adiposity with traditional and novel risk factors for cardiometabolic diseases across adolescence remains relatively unknown. Following ethical approval, fifty-two adolescents (age 11.6 ± 0.6 years; 32 girls) were recruited for a 2-years longitudinal study. Adiposity was assessed based on sum of skinfolds, waist circumference and body mass index, and physical fitness as distance run on the multi-stage fitness test (MSFT). Risk factors for cardiometabolic diseases (pro- and anti-inflammatory cytokines, plasma insulin, Homeostatic Model Assessment of Insulin Resistance - HOMA-IR, blood pressure) were measured following an overnight fast. Relationships between independent and response variables were analysed using multi-level modelling (final combined models were created using the stepwise backward elimination method). Plasma insulin concentration and HOMA-IR were positively associated with adiposity and inversely associated with distance run on the MSFT (all p < 0.05). The final combined models for plasma insulin concentration and HOMA-IR contained main effects for age, skinfolds and distance run on the MSFT. Levels of the anti-inflammatory cytokine IL-10 were inversely related to the sum of skinfolds (p = 0.046), whereas there was a trend for levels of the pro-inflammatory cytokine TNF-α to be positively related to the sum of skinfolds (p = 0.056). Adiposity and physical fitness are important, independent, determinants of metabolic health in adolescents. Furthermore, adiposity influences levels of pro- and anti-inflammatory cytokines in adolescence, with greater adiposity associated with a poorer inflammatory profile. The present study demonstrates an independent effect of physical fitness on metabolic health longitudinally across adolescence. It is therefore recommended that future work develops therapeutic interventions that reduce adiposity and enhance physical fitness in adolescents, to promote lifelong health.

Multidimensional sleep clusters and cardiometabolic risk factors in adolescents: Results from the GINIplus and LISA studies

BACKGROUND AND AIM Evidence of an association between sleep duration and body mass index is vast, but other sleep characteristics might also be relevant for cardiometabolic health. We aimed to identify sleep clusters based on multidimensional sleep characteristics, and to determine their associations with cardiometabolic risk markers in adolescents. METHODS A total of 1096 participants of the GINIplus and LISA birth cohorts, wearing accelerometers for one week during the 15-year follow-up, were included. K-means cluster analysis was performed based on twelve sleep characteristics including daily average and day-to-day variability, respectively, of total sleep time (TST), sleep efficiency, sleep-onset latency, sleep onset timing, time awake per hour after sleep onset, number of awakenings per hour. Cardiometabolic markers were dichotomized based on established cut-offs or sex-specific percentiles, including high fat mass index, prehypertension, high triglycerides, low high-density lipoprotein cholesterol, high C-reactive protein, and high homeostatic model assessment of insulin resistance (HOMA-IR). Cross-sectional, logistic regression models were run adjusting for potential confounders. RESULTS Five sleep clusters were identified: good sleep (n=391; average TST 7.7 hours), late but high-efficient sleep (n=224; 6.9 hours), irregular sleep (n=101; 6.9 hours), difficulty staying asleep (n=298; 6.8 hours), and difficulty falling asleep (n=82; 6.9 hours). Compared with &amp;#x22;good sleep”, the &amp;#x22;irregular sleep” cluster was associated with higher odds of high triglycerides (odds ratio (OR) = 2.43, 95% confidence interval (CI) =1.29-4.60). Moreover, the &amp;#x22;difficulty falling asleep” cluster was associated with increased odds of high HOMA-IR (OR=3.09, 95%CI=1.25-7.65). The &amp;#x22;late but high-efficient sleep” and &amp;#x22;difficulty staying asleep” clusters were not significantly associated with cardiometabolic markers. CONCLUSIONS Clusters describing &amp;#x22;difficulty falling asleep” and &amp;#x22;irregular sleep” patterns were associated with high insulin resistance and high triglycerides, respectively, in adolescents. Improving sleep quality and quantity in different sleep dimensions might benefit adolescents’ cardiometabolic health. KEYWORDS Sleep, cardiometabolic markers, adolescents, cluster analysis, accelerometry

Abstract P092: Sex Differences In Cardiometabolic Risk Factors Of Obese Adolescents

Background: The prevalence of hypertension in children and adolescents is rising, with 13% having elevated blood pressure and 5% having hypertension. Sex differences play a role in cardiovascular diseases in adults but are not well defined in youth. The objective of this study is to identify sex differences in obesity-mediated cardiometabolic risk factors in adolescents. Methods: This is a pilot study of n=82 obese children and adolescents recruited from a High BMI Clinic. Boys (n=42) and girls (n=40) were grouped by age (greater or less than age 12). Clinical data and blood samples were collected at a single time point (initial clinic visit). Serum sterols (glucocorticoids, mineralocorticoids, and sex hormones) were quantified via LC-MS/MS. Data are mean +/- standard deviation with analysis via 2-way ANOVA. Results: Mean BMI was 32.9 and 37.6 kg/m2 in children under/over age 12, respectively, with no difference in boys versus girls. Systolic blood pressure (SBP) was higher in boys and girls over compared to under age 12. Girls over age 12 had higher diastolic blood pressure (DBP) compared to boys (69.4 + 8.6 versus 66.4 + 5.1 mmHG; P&lt;0.05) which was associated with elevated aldosterone (272.5 + 369.9 versus 148.3 + 107.9 pg/mL; P&lt;0.05) and cortisol (100.3 + 69.8 versus 63.0 + 28.9 ng/mL; P&lt;0.05) concentrations. In contrast, there was no difference in the homeostatic model assessment for insulin resistance (HOMA-IR) between boys and girls. Conclusions: Despite having similar BMI and HOMA-IR, girls and boys had differences in DBP and serum sterols. Further analysis will refine associations of sex hormones with anthropometric, blood pressure, and glucose homeostasis measurements in obese girls and boys.

Vitamin D deficiency and cardiometabolic risk factors in adolescents: systematic review and meta-analysis.

Vitamin D deficiency is associated with an increase in the occurrence of cardiometabolic events, but the evidence of this relationship in adolescence is still limited. Thus, we analyzed the association between vitamin D deficiency and cardiometabolic risk factors in adolescents. Observational studies were searching in PubMed/Medline, Embase, Scopus, Web of Science, Science Direct, Lilacs, and Google Scholar database. Random effects models were used to summarize standardized mean differences for as a summary measure. The certainty of the evidence was verified using the Cochrane recommendations. A total of 7537 studies were identified, of which 32 were included in the systematic review and 24 in the meta-analysis.Vitamin D deficiency was associated with increased systolic pressure (SMD = 0.22; 95%CI = 0.10; 0.34), diastolic pressure (SMD = 0.23; 95%CI = 0.10; 0.35), glycemia (SMD = 0.13; 95%CI = 0.05; 0.12), and insulin (SMD = 0.50; 95%CI = 0.15; 0.84), an increase in the HOMA index (SMD = 0.48; 95%CI = 0.36; 0.60), high triglyceride values (SMD = 0.30; 95%CI = 0.11; 0.49), and reduced HDL concentrations (SMD= -0.25; 95%CI = -0.46; -0.04). No statistically significant association was observed for glycated hemoglobin, LDL cholesterol, and total cholesterol. Most of the studies presented low and moderate risks of bias, respectively. The certainty of the evidence was very low for all the outcomes analyzed. Vitamin D deficiency was associated with increased exposure to the factors linked to the occurrence of cardiometabolic diseases in adolescents. Systematic Review Registration: PROSPERO (record number 42,018,086,298).

Parental imprisonment as a risk factor for cardiovascular and metabolic disease in adolescent and adult offspring: A prospective Australian birth cohort study

ObjectivesParental imprisonment is linked with child health in later life. The present study provides the first prospective cohort analysis and non-U.S. based study examining parental imprisonment and cardiometabolic risk factors in adolescence and adulthood. MethodsThe study followed 7,223 children born from live, singleton births from 1981 to 1984 in Brisbane, Australia. Data on parental imprisonment was collected at mother interview when the children were ages 5 and 14. Our sample analyzes offspring with biometric data collected by health professionals, including 3,794 at age 14, 2,136 at age 21, and 1,712 at age 30. Analyses used multivariate linear and logistic regression, and time-varying growth curve models. ResultsAmong female respondents, parental imprisonment at ages ≤5 was associated with higher body-mass index (BMI) at ages 14, 21, and 30; higher systolic blood pressure (SBP) and diastolic blood pressure (DBP) at age 30; and increased sedentary hours, larger waist circumference, and odds of a high-risk waist circumference at age 30. Parental imprisonment when the child was aged ≤14 was associated with increased BMI and SBP at age 30 for females. In growth-curve models, parental imprisonment when the child was aged ≤5 and ≤ 14 among females was linked with increased BMI; parental imprisonment when the child was aged ≤5 was associated with increased SBP and DBP. No significant associations were observed for males. ConclusionsUsing prospective cohort data, our results support research showing that parental imprisonment, particularly in early childhood, is associated with increased BMI, blood pressure, sedentary hours, and waist circumference in females in early adulthood. These findings implicate parental imprisonment as a risk factor for cardiometabolic health issues in later life among females.

Association between sleep duration and cardiometabolic factors in adolescents

BackgroundThe sleep reduction can change healthy people's hemodynamic control and cardiovascular regulation through increased inflammatory response and altered endothelial function. The objective the study to analyze the association between sleep duration and cardiometabolic risk factors in adolescents in the birth cohort of São Luís (1997/98).MethodsThis is a cross-sectional study with adolescents participating in the birth cohort of São Luís (1997/98). Sleep duration was evaluated using accelerometer data (Actigraph wGT3X-BT). Glycemia, systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol, low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c) and triglycerides were considered cardiometabolic factors. The Directed Acyclic Graph (DAG) was used to identify the minimum set of adjustment for confounding.ResultsOut of 1,268 adolescents, 50.3% of them were male. The prevalence of sleep duration of less than 6 h per day was 31.1%. The mean glycemia value was 91.8 mg/dL (± 15.9), DBP was 71.3 mmHg (± 7.5), SBP was 114.9 mmHg (± 12.3), HDL was 48.5 mg/dL (± 11.6), LDL was 89.0 mg/dL (± 25.7), the total cholesterol was 156.0 mg/dL (± 31.1), and triglycerides was 93.6 mg/dL (± 47.2). The crude analysis showed an association between sleep duration and SBP and LDL-c. In the adjusted analysis, the associations did not remain.ConclusionOur study showed no association between sleep duration and cardiometabolic outcomes in adolescents.

Breakfast skipping and cardiometabolic risk factors in adolescents: Systematic review.

ABSTRACTOBJECTIVE To systematically review the results of the association between breakfast skipping and cardiometabolic risk factors in adolescents.METHODS The articles were searched in May 2020 from PubMed, Virtual Health Library, Scopus, Web of Science and Scientific Electronic Library Online (SciELO). The review included observational studies conducted with adolescents (10–19 years old), which estimated the association of breakfast skipping with at least one outcome (markers of body adiposity, blood pressure, serum lipid and glucose levels). Regarding the risk of bias, the articles were evaluated using the Research Triangle Institute (RTI) Item Bank on bias risk and accuracy of observational studies. The quality of the evidence was assessed by the Grade rating.RESULTS A total of 43 articles involving 192,262 participants met the inclusion criteria and were considered in this review. The prevalence of breakfast skipping ranged from 0.7% to 94% and 60.5% of studies were classified with low risk of bias. The significant association between breakfast skipping and cardiometabolic risk factors was found in twenty-nine cross-sectional articles (n = 106,031) and four longitudinal articles (n = 5,162) for excess adiposity, in three articles (n = 8,511) for high total cholesterol levels, low-density lipoprotein and triglycerides, and in three studies (n = 6,303) for high blood pressure levels. However, there was no significant association between breakfast skipping and glycemic profile. According to the Grade rating, all the associations had low quality of evidence.CONCLUSION The results of this review suggest that breakfast skipping is associated with cardiometabolic risk factors in adolescents aged 10 to 19 years. However, considering the low quality of the evidence, the present results should be interpreted carefully. In addition, our findings highlight the importance of standardizing the definition of breakfast skipping and that more prospective studies are needed to determine how skipping breakfast can affect cardiometabolic risk factors in the long time.

Cardiometabolic risk in adolescents with normal weight obesity.

Normal weight obesity (NWO), which is defined by the excess of body fat in normal weight individuals, has been neglected among adolescents, due to their normal weight and young age. Few studies were carried out on the topic with adolescents. To analyze whether the NWO is associated with cardiometabolic risk factors in adolescents. Cross-sectional study, with 506 normal weight adolescents aged 10-19 years, selected in schools in Brazil. Weight, height, waist circumference (WC) and neck circumference were obtained and the body mass index (BMI) and waist/height ratio (WHR) were calculated. Body composition analysis was performed using dual-energy X-ray absorptiometry. The clinical evaluation included lipid and glycid profile, platelets, leukocytes, lymphocytes, monocytes, uric acid and blood pressure, as well as the presence of metabolic syndrome (MS) and its components. NWO was defined by the presence of normal weight, according to BMI for age, and excess body fat (≥25% and ≥30% in males and females, respectively). Logistic regression models were used to analyze associations between normal weight adolescents with and without the NWO phenotype. NWO associated positively with abdominal obesity, analyzed through WC (OR = 1.36;95%CI = 1.27-1.47), WHR (OR = 25.89;95%CI = 10.43-64.26) and android fat (OR = 1.49;95%CI = 1.36-1.63); insulin resistance (OR = 4.09;95%CI = 1.72-9.70), hyperinsulinemia (OR = 3.83;95%CI = 1.50-9.76) and the highest values of the triglycerides-glycemia index (OR = 4.28;95%CI = 1.21-15.08); uric acid (OR = 1.81;95%CI = 1.29-2.55), as well as the changes in LDL (OR = 3.39;95%CI = 1.47-7.81), total cholesterol (OR = 2.77;95%CI = 1.22-6.29), and in at least one (OR = 1.87;95%CI = 1.04-3.37) or two (OR = 6.61;95%CI = 1.45-30.19) components of MS. NWO is associated with the presence of cardiometabolic risk factors in adolescents.

Cardiometabolic Risk Factors in Adolescents with Polycystic Ovary Syndrome.

It is well-established that adults with polycystic ovary syndrome (PCOS) have an increased prevalence of several cardiometabolic risk factors, including obesity, insulin resistance, type 2 diabetes mellitus, and dyslipidemia. Accumulating data suggest that these risk factors are already present in adolescence in patients with PCOS. This has major implications for the management of this population since the timely identification of these risk factors is essential for preventing cardiovascular disease in adulthood. The present review summarizes the existing evidence regarding the prevalence of traditional and non-traditional cardiometabolic risk factors in adolescents with PCOS.

Normalization of Muscle Strength Measurements in the Assessment of Cardiometabolic Risk Factors in Adolescents.

Muscle strength (MS) has been associated with cardiometabolic risk factors (CMR) in adolescents, however, the impact attributed to body size in determining muscle strength or whether body size acts as a confounder in this relationship remains controversial. We investigated the association between absolute MS and MS normalized for body size with CMR in adolescents. This was a cross-sectional study comprising 351 adolescents (44.4% male; 16.6 ± 1.0 years) from Brazil. MS was assessed by handgrip and normalized for body weight, body mass index (BMI), height, and fat mass. CMR included obesity, high blood pressure, dyslipidemia, glucose imbalance, and high inflammation marker. When normalized for body weight, BMI, and fat mass, MS was inversely associated with the presence of two or more CMR among females. Absolute MS and MS normalized for height was directly associated with the presence of two or more CMR among males. This study suggests that MS normalized for body weight, BMI, and fat mass can be superior to absolute MS and MS normalized for height in representing lower CMR among females. Absolute MS and MS normalized for height were related to higher CMR among males.

Association between maternal prepregnancy body mass index with offspring cardiometabolic risk factors: analysis of three Brazilian birth cohorts.

Evidence suggests that maternal prepregnancy body mass index (BMI) is associated with offspring cardiometabolic risk factors. This study was aimed at assessing the association of maternal prepregnancy BMI with offspring cardiometabolic risk factors in adolescence and adulthood. We also evaluated whether offspring BMI was a mediator in this association. The study included mother-offspring pairs from three Pelotas birth cohorts. Offspring cardiometabolic risk factors were collected in the last follow-up of each cohort [mean age (in years) 30.2, 22.6, 10.9]. Blood pressure was measured using an automatic device, cholesterol by using an enzymatic colorimetric method, and glucose from fingertip blood, using a portable glucose meter. In a pooled analysis of the cohorts, multiple linear regression was used to control for confounding. Mediation analysis was conducted using G-computation formula. In the adjusted model, mean systolic blood pressure of offspring from overweight and obese mothers was on average 1.25 (95% CI: 0.45; 2.05) and 2.13 (95% CI: 0.66; 3.59) mmHg higher than that of offspring from normal-weight mothers; for diastolic blood pressure, the means were 0.80 (95% CI: 0.26; 1.34) and 2.60 (95% CI: 1.62; 3.59) mmHg higher, respectively. Non-HDL cholesterol was positively associated with maternal BMI, whereas blood glucose was not associated. Mediation analyses showed that offspring BMI explained completely the association of maternal prepregnancy BMI with offspring systolic and diastolic blood pressure, and non-HDL cholesterol. Our findings suggest that maternal prepregnancy BMI is positively associated with offspring blood pressure, and blood lipids, and this association is explained by offspring BMI.