Cardiometabolic Risk In Adolescents Research Articles

Investigation of Underlying Association between Anthropometric and Cardiorespiratory Fitness Markers among Overweight and Obese Adolescents in Canada.

Adolescents who experience overweight or obesity commonly persist in these conditions into adulthood, thereby elevating their vulnerability to health issues. The focus of this study is on health risk markers such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body surface area (BSA), and cardiorespiratory fitness (CRF). The objectives include updating normative values for BMI, WC, WHtR, and BSA in Canadian adolescents, establishing cardiometabolic risk zones, and developing a composite score considering both anthropometric and CRF markers. Involving 1864 adolescents, the study used the LMS method to generate percentile norms, stratified by age and sex. Cardiometabolic risk zones were established for each marker based on Z-scores, and a composite score was created. An increase in WC of 5.8 and 7.4 cm for boys and girls, respectively, was observed since 1981. Forward multiple regression analyses were conducted to assess the robustness and validity of the proposed model. The results indicated that the model explained nearly 90% (R2 = 0.890) of the common variance between the composite score and the retained independent variables. Moreover, the model demonstrated a mean absolute error (MAE) of approximately 6 percentiles, confirming its high precision. Furthermore, these analyses yielded key thresholds for identifying adolescents at risk: the 70th percentile for high cardiometabolic risk and the 85th percentile for very-high risk. Individually, WC or WHtR seem to be better markers for evaluating cardiometabolic risk than BMI during adolescence. However, CRF showed comparable importance to anthropometric markers in determining cardiometabolic risk. The simultaneous inclusion of anthropometric and CRF markers provides a better picture of the global cardiometabolic risk in adolescents.

Abstract 23: Multidimensional Association of Sleep With Health Behaviors and Cardiometabolic Risk in Adolescents

Introduction: Insufficient sleep has been recognized by AHA as part of Life’s Essential 8 in the prevention of cardiovascular disease (CVD). While sleep is a multidimensional phenomenon comprised of duration, efficiency, quality, timing, and regularity, prior epidemiological research in youth has predominantly focused on sleep duration. It is important to disentangle which sleep dimensions most associate with other health behaviors and biomarkers for CVD risk in adolescents. Hypothesis: We hypothesize that specific dimensions of insufficient, disturbed, and misaligned sleep will be differentially associated with nutrition, physical activity, and inflammation. Methods: We analyzed data from 421 population-based randomly-selected adolescents from the Penn State Child Cohort (median 16 years; 47% female; 21% racial/ethnic minority) who had at least 5-night at-home actigraphy (ACT), 1-night in-lab 9-h polysomnography (PSG), self-reported insomnia symptoms, daytimes sleepiness, sleep schedule, circadian preference, and dietary assessment, as well as fasting blood draw assayed for C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor alpha (TNFα). Linear regression models tested the independent association of each sleep dimension with caloric intake, ACT-derived sedentary behavior, and blood-based inflammatory biomarkers, while accounting for sex, age, race/ethnicity, and body mass index. Results: Higher ACT-measured night-to-night variability in sleep duration was most strongly associated with increased caloric intake, particularly carbohydrates (B=0.203, p<0.001), while shorter PSG-measured sleep duration was also associated with carbohydrates but to a lesser extent (B=-0.150, p=0.002). Later bedtime on weekdays was most strongly associated with higher bouts of sedentary behavior (B=0.216, p<0.001), while shorter ACT-measured sleep duration was most strongly associated with time spent sedentary (B=-0.226, p<0.001). PSG-measured sleep apnea was most strongly associated with higher CRP (B=0.287, p<0.001) and IL-6 levels (B=0.260, p<0.001), while later bedtime on weekdays (B=0.136, p=0.025) and evening circadian preference (B=-0.124, p=0.017) were also associated with inflammation but to a lesser extent. Conclusions: The association of inadequate sleep with health behaviors and cardiometabolic risk in adolescents is in itself multidimensional. These data support that AHA guidelines should be updated to include insufficient, disturbed, and misaligned sleep as contributors to CVD risk.

Eating behaviors as pathways from early childhood adversity to adolescent cardiometabolic risk.

To identify specific eating behavior pathways that mediate associations between financial difficulties, negative life events, and maternal depressive symptoms from 0 to 5 years and cardiometabolic risk in adolescence. Hypotheses were tested with data from birth to age 15 years using the Avon Longitudinal Study of Parents and Children, a birth cohort in the United Kingdom (n = 3,887 for current analyses). Mothers reported on financial difficulties, negative life events, and maternal depressive symptoms at multiple points from 0 to 5 years and reported on worry about child overeating at 8 years. Youth self-reported restrained, emotional, and external eating at age 14. Youth completed a cardiometabolic health assessment at age 15 where waist circumference, triglycerides, high-density lipoprotein, and insulin resistance were measured. Longitudinal structural equation modeling with bootstrapping was used to test mediation models. Greater negative life events and maternal depressive symptoms predicted greater parental worry about child overeating at age 8, which directly predicted greater restrained and emotional eating at 14 and cardiometabolic risk at 15. Restrained and emotional eating at 14 directly predicted greater cardiometabolic risk at age 15. Negative life events and maternal depressive symptoms in infancy/early childhood are associated with cardiometabolic risk in adolescence through pathways of parental worry about child overeating in middle childhood and youth-reported restrained and emotional eating in adolescence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Evaluating the association between longitudinal exposure to a PFAS mixture and adolescent cardiometabolic risk in the HOME Study.

Exposure to per- and polyfluoroalkyl substances (PFAS) throughout gestation and childhood may impact cardiometabolic risk. In 179 HOME Study participants (Cincinnati, OH; recruited 2003-2006), we used latent profile analysis to identify two distinct patterns of PFAS exposure from serum concentrations of four PFAS measured at birth and ages 3, 8, and 12 years. We assessed the homeostatic model of insulin resistance, triglycerides-to-high-density lipoprotein cholesterol ratio, leptin-to-adiponectin ratio, systolic blood pressure, visceral fat, and hemoglobin A1c levels at age 12 years. We used multivariable linear regression to assess the association of membership in the longitudinal PFAS mixture exposure group with a summary measure of overall cardiometabolic risk and individual components. One PFAS exposure profile (n = 66, 39%) had higher geometric means of all PFAS across all visits than the other. Although adjusted associations were null in the full sample, child sex modified the association of longitudinal PFAS mixture exposure group with overall cardiometabolic risk, leptin-to-adiponectin ratio, systolic blood pressure, and visceral fat (interaction term P values: 0.02-0.08). Females in the higher exposure group had higher cardiometabolic risk scores (ß = 0.43; 95% CI = -0.08, 0.94), systolic blood pressures (ß = 0.6; 95% CI = 0.1, 1.1), and visceral fat (ß = 0.44; 95% CI = -0.13, 1.01); males had lower cardiometabolic risk scores (ß = -0.52; 95% CI = -1.06, -0.06), leptin-to-adiponectin ratios (ß = -0.7; 95% CI = -1.29, -0.1), systolic blood pressures (ß = -0.14; 95% CI = -0.7, 0.41), and visceral fat (ß = -0.52; 95% CI = -0.84, -0.19). Exposure to this PFAS mixture throughout childhood may have sex-specific effects on adolescent cardiometabolic risk.

Bisphenol A and cardiometabolic risk in adolescents: Data from the Generation XXI cohort

Background and aimsBisphenol A (BPA), an endocrine disruptor widely used in food contact materials, has been linked to a worse health profile. This study intends to estimate the association between BPA exposure and cardiometabolic patterns at adolescence. Methods and resultsData from the Portuguese population-based birth cohort Generation XXI at the age of 13 were used (n = 2386 providing 3-day food diaries and fasting blood samples). BPA exposure was measured in 24-h urine from a subsample (n = 206) and then predicted in all participants using a random forest method and considering dietary intake from diaries. Three cardiometabolic patterns were identified (normal, modified lipid profile and higher cardiometabolic risk) using a probabilistic Gaussian mixture model. Multinomial regression models were applied to associate BPA exposure (lower, medium, higher) and cardiometabolic patterns, adjusting for confounders. The median BPA exposure was 1532 ng/d, corresponding to 29.4 ng/kg/d. Adolescents higher exposed to BPA (compared to medium and lower levels) had higher BMI z-score (kg/m2) (0.68 vs. 0.39 and 0.52, respectively; p = 0.008), higher levels of body fat (kg) (16.3 vs. 13.8 and 14.6, respectively; p = 0.002), waist circumference (76.2 vs. 73.7 and 74.9, respectively; p = 0.026), insulinemia (ug/mL) (14.1 vs. 12.7 and 13.1, respectively; p = 0.039) and triglyceridemia (mg/dL) (72.7 vs. 66.1 and 66.5, respectively; p = 0.030). After adjustment, a significant association between higher BPA and a higher cardiometabolic risk pattern was observed (OR: 2.55; 95%CI: 1.41, 4.63). ConclusionHigher BPA exposure was associated with a higher cardiometabolic risk pattern in adolescents, evidencing the role of food contaminants in health.

The dietary approaches to stop hypertension (DASH) dietary pattern in childhood in relation to cardiometabolic risk in adolescence and early adulthood in the ALSPAC birth cohort.

To investigate the relationship between the dietary approaches to stop hypertension (DASH)-style dietary patterns in childhood and cardiometabolic risk (CMR) in adolescence/early adulthood. Data were obtained from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort. Diet diary data collected at 7, 10 and 13 years were used to calculate DASH-style diet scores (DDS). Multivariable linear regression models were used to investigate the associations between the DDS at 7, 10 and 13 years and CMR scores, calculated at 17 and 24 years. The ALSPAC cohort included children born in south-west England in 1991-1992. Children with complete dietary, covariate and cardiometabolic data at 17 (n 1,526) and 24 years (n 1,524). A higher DDS at 7 and 10 years was negatively associated with CMR scores at 17 years (β = -0·64 (95 % CI -1·27, -0·006), Ptrend=0·027 for fifth v. first DDS quintile at 7 years; β = -0·73 (95 % CI -1·35, -0·12) and Ptrend=0·037 for fifth v. first DDS quintile at 10 years) and at 24 years (β = -0·92 (95 % CI -1·49, -0·34) Ptrend = 0·001 for fifth v. first DDS quintile at 7 years; β = -0·60 (95 % CI -1·20, -0·05) Ptrend = 0·092 for fifth v. first DDS quintile at 10 years). No associations were found between the DDS at 13 years and CMR score at 17 and 24 years. Greater adherence with a DASH-style diet during childhood was associated with better cardiometabolic health in adolescence/adulthood in the ALSPAC cohort. The components of the DASH diet could be recommended to improve children's cardiometabolic health.

Abnormal Body Composition Increases the Cardiometabolic Risk in Adolescents and Young Adults With Turner Syndrome

ObjectiveTo determine the cardiometabolic risk of adolescents and adults with Turner syndrome (TS) and whether and how anthropometry and body composition predict this risk. MethodsWe compared the anthropometric, biochemical, and dual-energy x-ray absorptiometry–derived body composition parameters of 103 girls and women with TS aged 12 to 30 years and 103 controls of the same age and body mass index: (1) between TS with and without metabolic syndrome (MetS), (2) between the different karyotypes of TS, and (3) between growth hormone recipients and nonrecipients. ResultsIndividuals with TS had higher prevalence rates of truncal obesity (57.2%), MetS (37.9%), prediabetes (20.4%), dyslipidemia (73.8%), hypertension (9.7%), and hepatic steatosis (15.5%) and a greater total body fat percentage (38.43% vs 34.26%) and fat mass index (9.15 vs 6.71 kg/m2) but a lower lean mass index (11.05 vs 12.49 kg/m2) than controls (P <.001). Individuals with TS and MetS (n = 39) had a higher total body fat percentage (41.74% vs 36.42%, P <.0001), truncal fat percentage (44.66% vs 36.09%, P <.0001), and visceral adipose tissue mass (495.57 vs 276 g, P <.0001) than those with TS but without MetS. Those with classic TS (45,X) had a higher prevalence of prediabetes (32.6% vs 10.5%, P =.01). Growth hormone recipients had a lower prevalence of MetS and lesser truncal obesity. Altered body composition was significantly correlated with metabolic risk. The truncal fat percentage independently predicted MetS (odds ratio, 1.12; 95% confidence interval, 1.003-1.24; P =.04). Waist circumference and waist-hip ratio predicted metabolic risk with good sensitivity and specificity. ConclusionAdverse cardiometabolic risk and altered body composition start early in life in TS. Postpubertal women with TS should be routinely assessed for truncal obesity, dysglycemia, dyslipidemia, and liver steatosis, irrespective of body mass index and karyotype.

Adolescent Diet Quality, Cardiometabolic Risk, and Adiposity: A Prospective Cohort

ObjectiveExamine the prospective association among diet with adolescent cardiometabolic risk (CMR) and anthropometrics. MethodsSecondary analysis of an observational study of adolescents aged 10–16 years. Twenty-four-hour food recalls were used to calculate Healthy Eating Index-2015 (HEI-2015) scores. Anthropometrics were assessed using magnetic resonance imaging, dual-energy x-ray absorptiometry, and height/weight measurements. CMR included mean arterial pressure, homeostatic model assessment for insulin resistance, high-density lipoprotein cholesterol, and triglycerides. Associations between HEI-2015 score at baseline with follow-up adiposity and CMR were examined using regression models. ResultsA total of 192 adolescents were included. Baseline HEI-2015 scores were inversely associated with follow-up total CMR z-score (P = 0.01), homeostatic model assessment for insulin resistance (P < 0.01), waist circumference z-score (P = 0.02), body mass index percentile (P = 0.01), fat mass (P = 0.04), lean mass (P = 0.02), and visceral adipose tissue mass (P = 0.01). Conclusions and ImplicationsAdolescents with lower adherence to dietary guidelines and greater CMR and anthropometry measurements at baseline continued this trajectory across the observation.

Prospective association between an obesogenic dietary pattern in early adolescence and metabolomics derived and traditional cardiometabolic risk scores in adolescents and young adults from the ALSPAC cohort

BackgroundDietary intake during early life may be a modifying factor for cardiometabolic risk (CMR). Metabolomic profiling may enable more precise identification of CMR in adolescence than traditional CMR scores. We aim to assess and compare the prospective associations between an obesogenic dietary pattern (DP) score at age 13 years with a novel vs. traditional CMR score in adolescence and young adulthood in the Avon Longitudinal Study of Parents and Children (ALSPAC).MethodsStudy participants were ALSPAC children with diet diary data at age 13. The obesogenic DP z-score, characterized by high energy-density, high % of energy from total fat and free sugars, and low fibre density, was previously derived using reduced rank regression. CMR scores were calculated by combining novel metabolites or traditional risk factors (fat mass index, insulin resistance, mean arterial blood pressure, triacylglycerol, HDL and LDL cholesterol) at age 15 (n = 1808), 17 (n = 1629), and 24 years (n = 1760). Multivariable linear regression models estimated associations of DP z-score with log-transformed CMR z-scores.ResultsCompared to the lowest tertile, the highest DP z-score tertile at age 13 was associated with an increase in the metabolomics CMR z-score at age 15 (β = 0.20, 95% CI 0.09, 0.32, p trend < 0.001) and at age 17 (β = 0.22, 95% CI 0.10, 0.34, p trend < 0.001), and with the traditional CMR z-score at age 15 (β = 0.15, 95% CI 0.05, 0.24, p trend 0.020). There was no evidence of an association at age 17 for the traditional CMR z-score (β = 0.07, 95% CI -0.03, 0.16, p trend 0.137) or for both scores at age 24.ConclusionsAn obesogenic DP was associated with greater CMR in adolescents. Stronger associations were observed with a novel metabolite CMR score compared to traditional risk factors. There may be benefits from modifying diet during adolescence for CMR health, which should be prioritized for further research in trials.

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.

Challenges and Opportunities in Diagnosis and Management of Cardiometabolic Risk in Adolescents.

This review aims to elucidate the limitations of diagnosing metabolic syndrome in adolescents as well as challenges and opportunities in the identification and reduction of cardiometabolic risk in this population. There are multiple criticisms of how we define and approach obesity in clinical practice and scientific research, and weight stigma further complicates the process of making and communicating weight-related diagnoses. While the goal of diagnosing and managing metabolic syndrome in adolescents would be to identify individuals at elevated future cardiometabolic risk and intervene to reduce the modifiable component of this risk, there is evidence that identifying cardiometabolic risk factor clustering may be more useful in adolescents than establishing a cutoff-based diagnosis of metabolic syndrome. It has also become clear that many heritable factors and social and structural determinants of health contribute more to weight and body mass index than do individual behavioral choices about nutrition and physical activity. Promoting cardiometabolic health equity requires that we intervene on the obesogenic environment and mitigate the compounding effects of weight stigma and systemic racism. The existing options to diagnose and manage future cardiometabolic risk in children and adolescents are flawed and limited. While striving to improve population health through policy and societal interventions, there are opportunities to intervene at all levels of the socioecological model in order to decrease future morbidity and mortality from the chronic cardiometabolic diseases associated with central adiposity in both children and adults. More research is needed to identify the most effective interventions.

Neonatal and adolescent adipocytokines as predictors of adiposity and cardiometabolic risk in adolescence

Neonatal and adolescent adipocytokines as predictors of adiposity and cardiometabolic risk in adolescence

Determinants of Longitudinal Changes in Cardiometabolic Risk in Adolescents with Overweight/Obesity: The EVASYON Study.

We investigated which determinants (socioeconomic, early life factors, body composition changes, fitness changes and/or physical activity changes) best predicted longitudinal outcomes in cardiometabolic risk profile (Z-score change) in adolescents with OW/OB who underwent a 13-month multidisciplinary lifestyle intervention. A total of 165 adolescents (13–16 y; 46% boys) from the EVASYON study were included. Socioeconomic variables and early life factors were obtained from the medical records. Body composition was assessed using anthropometry. Fitness and physical activity were measured with field-based tests and questionnaires. Cardiometabolic risk factors (fasting glucose, HDL cholesterol, triglycerides, blood pressure and waist circumference) were derived from standard methods in the hospital. Body weight changes, sex and mother’s education were selected in the stepwise process as the most important determinants of changes in cardiometabolic risk profile (R2 = 0.26, p = 0.002; R2 = 0.14, p = 0.013; and R2 = 0.14, p = 0.017, respectively). Both boys and girls showed a lower cardiometabolic risk score with the reduction in body weight (r = 0.535, p = 0.009 and r = 0.506, p = 0.005, respectively). There was no interaction between sex and body weight change (p = 0.614). In conclusion, the simple measure of changes in body weight should be considered to track changes in cardiometabolic risk profile in adolescents with OW/OB.

Physical activity modifies the relation between gestational perfluorooctanoic acid exposure and adolescent cardiometabolic risk

ObjectiveExposure to per- and polyfluoroalkyl substances (PFAS) – endocrine disrupting chemicals – may increase cardiometabolic risk. We evaluated whether adolescent lifestyle factors modified associations between gestational PFAS exposure and cardiometabolic risk using a prospective cohort study. MethodsIn 166 mother-child pairs (HOME Study), we measured concentrations of four PFAS in maternal serum collected during pregnancy. When children were age 12 years, we calculated cardiometabolic risk scores from visceral adiposity area, blood pressure, and fasting serum biomarkers. We assessed adolescent physical activity and Healthy Eating Index scores using the Physical Activity Questionnaire for Older Children (PAQ-C), actigraphy, and 24-h diet recalls. Using multivariable linear regression and weighted quantile sum regression, we examined whether physical activity or diet modified covariate-adjusted associations of PFAS and their mixture with cardiometabolic risk scores. ResultsPhysical activity modified associations between perfluorooctanoic acid (PFOA) and cardiometabolic risk scores. Each doubling of PFOA was associated with worse cardiometabolic risk scores among children with PAQ-C scores < median (β:1.4; 95% CI:0.5, 2.2, n = 82), but not among those with PAQ-C scores ≥ median (β: 0.2; 95% CI: 1.2, 0.7, n = 84) (interaction p-value = 0.01). Associations were most prominent for insulin resistance, leptin-adiponectin ratio, and visceral fat area. We observed results suggesting that physical activity modified the association of PFAS mixture with cardiometabolic risk scores, insulin resistance, and visceral fat area (interaction p-values = 0.17, 0.07, and 0.10, respectively); however, the 95% CIs of the interaction terms included the null value. We observed similar, but attenuated patterns for PFOA and actigraphy-based measures of physical activity. Diet did not modify any associations. Physical activity or diet did not modify associations for other PFAS. ConclusionsChildhood physical activity modified associations of prenatal serum PFOA concentrations with children's cardiometabolic risk in this cohort, indicating that lifestyle interventions may ameliorate the adverse effects of PFOA exposure.

Comparative analysis of anthropometric indicators for diagnosing obesity and predicting cardiometabolic risk in Mexican adolescents.

Introduction: obesity is a cardiometabolic risk (CMR) factor in adolescents. It represents a public health problem that requires simple diagnostic strategies based on the determination of anthropometric indicators (AIs) such as body mass index (BMI), waist circumference (WC), conicity index (CONI), waist-to-height ratio (WHtR), and body fat percentage (BFP). The purpose of the current contribution was to analyze the utility of the aforementioned AIs for evaluating obesity as a CMR factor in Mexican adolescents. Materials and methods: the design of the study is descriptive and cross-sectional. Nutritional status was established by using various AIs and as a CMR factor under the criteria of WHtR. Participating in the present investigation were 2,000 adolescents from 15 to 17 years of age, of which 1,079 (53.9 %) were female and 921 (46.1 %) were male. All were high school students in Tuxtla Gutiérrez, Chiapas, Mexico. Results and conclusion: the prevalence of obesity was influenced by gender. With the WHtR and BFP, male students exhibited a greater prevalence of obesity, while with the BMI and CONI, the percentage of obesity was similar between the two genders. BMI was significantly correlated with BFP, WC and WHtR, and was one of the AIs with the greatest area under the curve, showing a good capacity to predict cardiometabolic risk. BMI is a simple and adequate tool for diagnosing obesity and predicting CMR in adolescents.

Reproducibility and validity of a food frequency questionnaire to assess cardiovascular health-related food intake among Mexican adolescents

There is a lack of region-adapted tools to evaluate diet as a risk factor for cardiovascular disease (CVD) in adolescents. The study aim was to evaluate the reproducibility and validity of a paper-based and region-adapted food frequency questionnaire (FFQ) designed to assess CVD-related food and nutrient intakes of adolescents from Northwest México. The study design was cross-sectional. The FFQ was developed in a two-step process: prototype designing and a pilot test, with re-tested in a 3-month period, along with two administrations of 24 h-recall (24 hR). Pearson's and intra-class correlation coefficients (PCC and ICC) were assessed. Bland-Altman plots, limits of agreement and quintile classifications were carried out. Participants (n 221) were 53·8 % male, 18·5 ± 0·4 years old. Reproducibility had a median PCC = 0·66 for processed meats, ranging from 0·40 (saturated fat) to 0·74 (fish & shellfish), P = 0·001. ICC ranged from 0·53 (saturated fat) to 0·80 (sodium; and nuts, seeds and legumes), P = 0·001. Validity comparing FFQ1 v. 24 hR mean, PCCs ranged from 0·12 (P = 0·06) to 0·95 (P = 0·001), and ICC from 0·20 (P = 0·048) to 0·88 (P = 0·001); comparing FFQ2 v. 24 hR mean, PCCs ranged from 0·07 (P = 0·25) to 0·46 (P = 0·001), and ICC from 0·15 (P = 0·106) to 0·58 (P = 0·001). The FFQ overestimated the intake of all food groups and nutrients (P < 0·05), while Cohen's κ showed coefficients lower than 0·20. The proposed FFQ represents a moderately validated tool to estimate CVD-related food and nutrient intakes as a risk factor, which can be used in combination with multiple administrations of 24 hRs, as a critical mean in future interventions intended to reduce cardiometabolic risk in adolescents.

Lifestyle Clusters and Cardiometabolic Risks in Adolescents: A Chinese School-Based Study Using a Latent Class Analysis Approach.

Background: Unhealthy dietary and lifestyle behaviors are associated with a higher prevalence of non-communicable chronic diseases and higher mortality in adults. However, there remains some uncertainty about the magnitude of the associations between lifestyle behaviors and cardiovascular factors in adolescents.Methods: We conducted a school-based cross-sectional study of 895 Chinese adolescents aged 15–19 years. They participated in a questionnaire survey, physical examination, and blood sample collection. Latent class analysis (LCA) was used to identify heterogeneous subgroups of lifestyle behaviors. A set of 12 latent class indicators, which reflected lifestyle behaviors including dietary habits, physical activity, sleep duration, screen time, and pressure perception, were included in the analysis. Logistic regression analysis was performed to determine whether the derived classes were related to a cardiometabolic risk.Results: In total, 13.7 and 5.6% of the participants were overweight and obese, respectively, and 8.4 and 14.1% reported having pre-hypertension and hypertension, respectively. A two-class model provided the best fit with a healthy lifestyle pattern (65.8%) and a sub-healthy lifestyle pattern (34.2%). There were more female participants with a healthy lifestyle (56.2 vs. 43.8%), whereas there were more males with a sub-healthy lifestyle (45.4 vs. 54.6%), (all P = 0.002). Increased risk of cardiometabolic abnormality (BMI categories, blood pressure and lipids) was not significant across lifestyle patterns, except for waist circumference (70.5 vs 69.1 cm, P = 0.044). There was no significant difference in physical activity and intake of fruit and vegetable between the two patterns.Conclusion: Primary prevention based on lifestyle modification should target patterns of behaviors at high risk in adolescents. Due to the complex effect of lifestyle clusters on cardiometabolic risks, well-designed and prospective studies in adolescents are needed in the future.

The Role of ANP Level Response in Interdisciplinary Weight Loss Therapy on Cardiometabolic Risk and Body Composition in Adolescents with Obesity.

ResumoFundamento A ação do peptídeo natriurético atrial (ANP) na natriurese, diurese e vasodilatação, resistência à insulina, fígado, rim e tecido adiposo pode contribuir para o desenvolvimento metabólico e cardiovascular saudável. Embora o nível circulante de ANP seja reduzido em pacientes com obesidade, sua resposta à perda de peso ainda é pouco explorada em populações pediátricas.Objetivo Avaliar os efeitos das variações do ANP em resposta à intervenção interdisciplinar para perda de peso na Síndrome Metabólica (SMet) e nos riscos cardiometabólicos em adolescentes com obesidade.Métodos 73 adolescentes com obesidade participaram de uma terapia interdisciplinar para perda de peso de 20 semanas, incluindo uma abordagem clínica, nutricional, psicológica e de exercícios físicos. A composição corporal, análises bioquímicas e pressão sanguínea foram avaliadas. A SMet foi classificada de acordo com a Federação Internacional de Diabetes (IDF) (2007). Após o tratamento, os voluntários foram divididos de acordo com os níveis de plasma do ANP aumento (n=31) ou ANP redução (n=19).Resultados Ambos os grupos apresentaram redução significativa de peso corporal, índice de massa corporal (IMC) e circunferências de cintura, pescoço e quadril (CC, CP e CQ, respectivamente), e aumento da massa livre de gordura (MLG). É interessante observar que houve uma redução significativa na gordura corporal, na razão de TG/HDL-c e na prevalência de SMet (de 23% para 6%) somente no grupo com ANP aumento.Conclusão Este estudo sugere que o aumento nos níveis séricos de ANP após a terapia para perda de peso pode estar associado a melhorias nos riscos cardiometabólicos e na prevalência reduzida de SMet em adolescentes com obesidade.

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.

Biological and socioeconomic factors as moderator in relationship between leisure-time physical activity and cardiometabolic risk in adolescents from southern Brazil

BackgroundGiven the important repercussions that sociodemographic factors can have on physical activity, especially in the field of leisure, and cardiometabolic risk, it seems relevant to analyze the implications of these variables on the relationship between physical activity in leisure time (LTPA) and cardiometabolic risk. In this sense, the present study aims to verify the moderating role of biologic and socioeconomic factors in the relationship between LTPA and cardiometabolic risk in adolescents in southern Brazil.MethodsCross-sectional study that included 1596 adolescents selected at random (58.2% girls), aged between 10 and 17 years. LTPA, biological and socioeconomic factors were assessed using a self-reported questionnaire and the cardiometabolic risk score (total cholesterol/HDL-c ratio, triglycerides, fasting glucose, systolic blood pressure, and waist circumference, considering the participant’s age and sex) was included as an outcome. Associations and moderations were tested by multiple linear regression models.ResultsIt was observed a positive interaction of LTPA and sex (p = 0.048) and LTPA and school system (p = 0.037), and negative interaction of LTPA and skin color (p = 0.040), indicating that these factors were moderators in the relationship between LTPA and clustered cardiometabolic risk score (cMetS) in adolescents. A reduction in cardiometabolic risk was observed according to the increase in weekly minutes of LTPA among boys, non-white adolescents, and students from municipal schools.ConclusionsThe association between LTPA and cardiometabolic risk was moderated by sex, skin color, and school system in adolescents from southern Brazil.