Cardiometabolic Risk In Children Research Articles

Phase angle and anthropometric indicators of cardiometabolic risk in children and adolescents.

The phase angle (PhA) is a measurement obtained from the resistance and reactance found in the bioelectrical impedance examination and is useful in assessing nutritional status and in assessing cardiometabolic diseases. Therefore, the objective was to correlate the phase angle to the anthropometric variables of cardiometabolic risk (CMR) in children and adolescents. Weight, height, body mass index (BMI), waist circumference (WC) and neck circumference (NC), waist-to-height ratio (WHtR), and PhA of 1231 children and adolescents aged between 5 and 18 years were assessed. PhA was assessed in tertiles and CMR was identified using the anthropometric variables BMI, WC, NC, and WHtR. Linear regression models were used to verify the association between PhA tertiles and CMR anthropometric variables, stratified by sex. No relationship was found between PhA and CMR variables in children. In adolescents, lower values of NC (β = -0.019, p = 0.005) and BMI (β = -0.025, p = 0.023) were found in boys, WC (β = -0.017, p = 0.020), WHtR (β = -0.017, p = 0.020), NC (β = -0.011, p = 0.027) and BMI (β = -0.026, p = 0.009) in girls when they were in tertile 1 when compared to tertile 3 of the PhA, even after adjusting for age. The PhA was directly associated with CMR in the assessed adolescents.

Predictive Ability of Hypertriglyceridemic Waist, Hypertriglyceridemic Waist-to-Height Ratio, and Waist-to-Hip Ratio for Cardiometabolic Risk Factors Clustering Screening among Chinese Children and Adolescents*

ObjectiveHypertriglyceridemic waist (HW), hypertriglyceridemic waist-to-height ratio (HWHtR), and waist-to-hip ratio (WHR) have been shown to be indicators of cardiometabolic risk factors. However, it is not clear which indicator is more suitable for children and adolescents. We aimed to investigate the relationship between HW, HWHtR, WHR, and cardiovascular risk factors clustering to determine the best screening tools for cardiometabolic risk in children and adolescents. MethodsThis was a national cross-sectional study. Anthropometric and biochemical variables were assessed in approximately 70,000 participants aged 6–18 years from seven provinces in China. Demographics, physical activity, dietary intake, and family history of chronic diseases were obtained through questionnaires. ANOVA, χ2 and logistic regression analysis was conducted. ResultsA significant sex difference was observed for HWHtR and WHR, but not for HW phenotype. The risk of cardiometabolic health risk factor clustering with HW phenotype or the HWHtR phenotype was significantly higher than that with the non-HW or non-HWHtR phenotypes among children and adolescents (HW: OR = 12.22, 95% CI: 9.54-15.67; HWHtR: OR = 9.70, 95% CI: 6.93-13.58). Compared with the HW and HWHtR phenotypes, the association between risk of cardiometabolic health risk factors (CHRF) clustering and high WHR was much weaker and not significant (WHR: OR = 1.14, 95% CI: 0.97-1.34). ConclusionCompared with HWHtR and WHR, the HW phenotype is a more convenient indicator with higher applicability to screen children and adolescents for cardiovascular risk factors.

Abstract P104: Geospatially Varying Relationships of Green and Blue Spaces With Biomarkers of Stress and Cardiometabolic Risk in Racially and Ethnically Diverse Children

Introduction: Neighborhood green (e.g., parks) and blue (e.g., lakes) spaces have been associated with reduced stress and cardiometabolic risk (CMR), but research is limited in socially vulnerable urban communities affected by structural racism and redlining. This study explored the spatial correlation between green and blue spaces and cortisol levels, BMI percentile, waist circumference (WC), pulse, and systolic (SBP) and diastolic blood (DBP) pressure in a sample of racially/ethnically diverse children. Methods: We used cross-sectional data from the Family Matters cohort study, consisting of 1307 racially/ethnically diverse families with children (age 7±1.5 yrs). Participant addresses were matched to the US 2010 Census tract attributes. We used 246 sample locations across 149 census tracts in the 7-county Twin Cities, MN, metro area. Green and blue spaces were retrieved from the Twin Cities Metropolitan Council. Hair cortisol (chronic stress biomarker), BMI, WC, pulse, SBP and DBP were objectively measured in a subsample of 246 children. We used Decision Tree and Geographically Weighted Regression (GWR) to examine the spatially varying associations of CDC’s Social Vulnerability Index (SVI) and green and blue spaces (independent variables) with biomarkers of stress and CMR (dependent variables). SVI reflects four themes: socioeconomic status, household composition and disability, racial and ethnic minority status and language, and housing type and transportation. Results: Northwest Minneapolis was identified as a hotspot for elevated cortisol, BMI, and WC, while east St. Paul was a hotspot for elevated BMI and WC. Decision trees indicated that green and blue spaces explain variation in accumulated cortisol after tract socioeconomic status and racial and ethnic minority status. GWR revealed nonuniform relationships with the highest explanatory power in high social vulnerability hotspots. GWR’s R 2 for cortisol (0.07), BMI (0.14), and WC (0.14) were driven by hotspots where local R 2 was 2-5 times stronger than areas not identified as hotspots indicating robust geographical variations in the northern areas (areas of high social vulnerability) and distance from green and blue spaces. Patterns were inconsistent for pulse, SBP, and DBP. Conclusions: The spatially varying relationships of green and blue spaces with biomarkers of stress and CMR in children were heterogeneous, possibly indicating different mechanisms across biomarkers and geographical areas. Higher cortisol levels, BMI percentile, and WC in northern Twin Cities areas may reflect the legacy of structural racism and redlining, which have resulted in inequitable use of green and blue spaces for minoritized communities. Future interventions co-developed with local communities to improve green and blue spaces’ access and use, as well as to reduce disparities in stress and CMR, are needed to advance health equity.

Trajectories of lifestyle patterns from 2 to 8 years of age and cardiometabolic risk in children: the GUSTO study

BackgroundTracking combinations of lifestyle behaviours during childhood (“lifestyle pattern trajectories”) can identify subgroups of children that might benefit from lifestyle interventions aiming to improve health outcomes later in life. However, studies on the critical transition period from early to middle childhood are limited. We aimed to describe lifestyle patterns trajectories in children from 2 to 8 years of age and evaluated their associations with cardiometabolic risk markers at age 8 years in a multi-ethnic Asian cohort.MethodsTwelve lifestyle behaviours related to child’s diet, physical activity, screen use, and sleep were ascertained using questionnaires at ages 2, 5, and 8 years. Age-specific lifestyle patterns were derived using principal component analysis and trajectories were determined using group-based multi-trajectory modelling. Child cardiometabolic risk markers were assessed at age 8 years, and associations with trajectories examined using multiple regression, adjusted for confounders.ResultsAmong 546 children, two lifestyle patterns “healthy” and “unhealthy” were observed at ages 2, 5, and 8 years separately. Three trajectory groups from 2 to 8 years were identified: consistently healthy (11%), consistently unhealthy (18%), and mixed pattern (71%). Children in the consistently unhealthy group (vs. mixed pattern) had increased odds of pre-hypertension (OR = 2.96 [95% CI 1.18–7.41]) and higher levels of diastolic blood pressure (β = 1.91 [0.27–3.55] mmHg), homeostasis model assessment of insulin resistance (β = 0.43 [0.13–0.74]), triglycerides (β = 0.11 [0.00-0.22] mmol/L), and metabolic syndrome score (β = 0.85 [0.20–1.49]), but not with BMI z-score or any anthropometric measurements. The consistently healthy group showed no differences in cardiometabolic outcomes compared to the mixed pattern group.ConclusionThree distinct lifestyle pattern trajectories were identified from early to middle childhood. Children in the consistently unhealthy lifestyle group did not have a raised BMI but was associated with several elevated cardiometabolic risk markers. These findings suggest the potential benefits of initiating holistic lifestyle interventions to improve children’s health and well-being from an early age.Trial registrationTrial registration number: NCT01174875. Name of registry: ClinicalTrials.gov. URL of registry: https://classic.clinicaltrials.gov/ct2/show/NCT01174875. Date of registration: August 4, 2010. Date of enrolment of the first participant to the trial: June 2009.

Fitness and fatness in children and adolescents: investigating their role in the association between physical activity and cardiometabolic health.

To verify the role of the combination of fitness and fatness in the relationship between physical activity (PA) and cardiometabolic risk in children and adolescents. This is a cross-sectional study performed with 2786 children and adolescents (6 to 17 years). Fitness was determined by the cardiorespiratory fitness (CRF) six-minute walking and running test. Waist circumference (WC) was considered a fatness indicator. A selfreported questionnaire was used to determine PA practice, whereas the clustered cardiometabolic risk score (cMetS) was calculated by summing z-scores of triglycerides, total cholesterol/HDL-C ratio, systolic blood pressure, glucose, and WC. Considering the combination of CRF (fitness) and WC (fatness), the following phenotypes were created: Fit/Unfat, Fit/Fat, Unfit/Unfat and Unfit/Fat. Moderation analyses were tested using linear regression models. Significant interactions were found between PA and Unfit/Fat category (β = -0.001; p = 0.001) only for adolescents. The interaction observed in the Unfit/Fat phenotype indicated that adolescents who practise PA for 330 minutes per week presented lower cMetS compared to those who do not practise or practise for 60 minutes respectively. The combination of fitness and fatness moderates the relationship between PA and cardiometabolic risk, suggesting that adolescents, particularly those who are less fit and present high adiposity, should be encouraged to engage in regular PA to improve their metabolic health.

Establishing international optimal cut-offs of waist-to-height ratio for predicting cardiometabolic risk in children and adolescents aged 6–18 years

BackgroundWaist-to-height ratio (WHtR) has been proposed as a simple and effective screening tool for assessing central obesity and cardiometabolic risk in both adult and pediatric populations. However, evidence suggests that the use of a uniform WHtR cut-off of 0.50 may not be universally optimal for pediatric populations globally. We aimed to determine the optimal cut-offs of WHtR in children and adolescents with increased cardiometabolic risk across different countries worldwide.MethodsWe used ten population-based cross-sectional data on 24,605 children and adolescents aged 6–18 years from Brazil, China, Greece, Iran, Italy, Korea, South Africa, Spain, the UK, and the USA for establishing optimal WHtR cut-offs. We performed an external independent test (9,619 children and adolescents aged 6–18 years who came from other six countries) to validate the optimal WHtR cut-offs based on the predicting performance for at least two or three cardiometabolic risk factors.ResultsBased on receiver operator characteristic curve analyses of various WHtR cut-offs to discriminate those with ≥ 2 cardiometabolic risk factors, the relatively optimal percentile cut-offs of WHtR in the normal weight subsample population in each country did not always coincide with a single fixed percentile, but varied from the 75th to 95th percentiles across the ten countries. However, these relatively optimal percentile values tended to cluster irrespective of sex, metabolic syndrome (MetS) criteria used, and WC measurement position. In general, using ≥ 2 cardiometabolic risk factors as the predictive outcome, the relatively optimal WHtR cut-off was around 0.50 in European and the US youths but was lower, around 0.46, in Asian, African, and South American youths. Secondary analyses that directly tested WHtR values ranging from 0.42 to 0.56 at 0.01 increments largely confirmed the results of the main analyses. In addition, the proposed cut-offs of 0.50 and 0.46 for two specific pediatric populations, respectively, showed a good performance in predicting ≥ 2 or ≥ 3 cardiometabolic risk factors in external independent test populations from six countries (Brazil, China, Germany, Italy, Korea, and the USA).ConclusionsThe proposed international WHtR cut-offs are easy and useful to identify central obesity and cardiometabolic risk in children and adolescents globally, thus allowing international comparison across populations.

BMI-based obesity classification misses children and adolescents with raised cardiometabolic risk due to increased adiposity

ObjectiveTo assess how inaccurately the body mass index (BMI) is used to diagnose obesity compared to body fat percentage (BF%) measurement and to compare the cardiometabolic risk in children and adolescents with or without obesity according to BMI but with a similar BF%.MethodsA retrospective cross-sectional investigation was conducted including 553 (378 females/175 males) white children and adolescents aged 6–17 years, 197 with normal weight (NW), 144 with overweight (OW) and 212 with obesity (OB) according to BMI. In addition to BMI, BF% measured by air displacement plethysmography, as well as markers of cardiometabolic risk had been determined in the existing cohort.ResultsWe found that 7% of subjects considered as NW and 62% of children and adolescents classified as OW according to BMI presented a BF% within the obesity range. Children and adolescents without obesity by the BMI criterion but with obesity by BF% exhibited higher blood pressure and C-reactive protein (CRP) in boys, and higher blood pressure, glucose, uric acid, CRP and white blood cells count, as well as reduced HDL-cholesterol, in girls, similar to those with obesity by BMI and BF%. Importantly, both groups of subjects with obesity by BF% showed a similarly altered glucose homeostasis after an OGTT as compared to their NW counterparts.ConclusionsResults from the present study suggest increased cardiometabolic risk factors in children and adolescents without obesity according to BMI but with obesity based on BF%. Being aware of the difficulty in determining body composition in everyday clinical practice, our data show that its inclusion could yield clinically useful information both for the diagnosis and treatment of overweight and obesity.

Maternal Prenatal Factors and Child Adiposity in Associations with Cardiometabolic Risk Factors in Term-Born Chinese Children at the Age of 2 Years.

Early growth has long-lasting associations with adult metabolic health. However, the association of adiposity with cardiometabolic risk factors in toddlers remains poorly understood. This study aimed to examine the association of maternal prenatal factors and child adiposity with child cardiometabolic risk factors among boys and girls aged 2 years. This was a birth cohort study of 549 term-born children in Shanghai, China, with follow-up data at the age of 2-years. Child anthropometric and adiposity measurements included weight, length, and skinfold thickness (triceps, subscapular, and abdominal). Child cardiometabolic risk factors included random morning plasma glucose, serum insulin, lipids, and systolic and diastolic blood pressure (SBP, DBP). At 2 years, overweight/obesity (weight-for-length z score, ZWFL > 2) was associated with 12.6 (95%CI 7.7, 17.4) mmHg higher SBP, and 7.9 (4.1, 11.8) mmHg higher DBP in boys, with similar results observed in girls. Maternal hypertensive disorders of pregnancy were associated with 3.0 (0.1, 5.8) higher SBP, 3.17 (0.90, 5.44) mmHg higher DBP, 0.24 (0.01,0.47) mmol/L higher plasma glucose, and 0.26 (0.01,0.51) mmol/L higher serum triglycerides after adjustment for child age, sex, and ZWFL. Maternal hypertensive disorders of pregnancy and child overweight/obesity were associated with higher SBP and DBP at the age of 2 years.

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.

The benefits of nurturant-involved parentingfor children's internalizing symptoms and cardiometabolic health in high-risk contexts.

Despite evidence that nurturant-involved parenting is linked with children's social, psychological, and physiological development, less is known about the specific contexts in which nurturant-involved parenting is most beneficial for children's mental and physical health. The present study examined how associations between nurturant-involved parenting and children's internalizing symptoms and cardiometabolic risk varied as a function of children's stress and discrimination. Participants included 165 Black and Latinx children (Mage = 11.5 years) and their guardians. Children reported on their ongoing stress, experiences of discrimination, and internalizing symptoms (depression and anxiety). Guardians provided information about their nurturant-involved parenting practices. Children's cardiometabolic risk was assessed as a composite reflecting a high level of systolic or diastolic blood pressure, waist circumference, HbA1c, triglycerides, and low HDL cholesterol. Regression analyses indicated that among youth who reported high levels of stress and discrimination, nurturant-involved parenting was negatively associated with cardiometabolic risk. Although children's stress and discrimination were significantly associated with their internalizing symptoms, neither stress nor discrimination moderated the relation between nurturant-involved parenting and internalizing symptoms. Results highlight the significant role that parents play in shaping children's health, particularly among youth experiencing high levels of stress and discrimination.

Iron status and cardiometabolic risk in children

AimWe aimed to evaluate associations between serum ferritin and transferrin and variables related to the metabolic syndrome (MetS) in children. MethodsCross-sectional and longitudinal study in prepubertal children (n = 832) aged 3–14 years. A subset (n = 203) were re-examined after a mean follow-up of 3.7 ± 0.8 years[range 2–6]. Outcomes were MetS and MetS components scores, glycosylated haemoglobin (HbA1c), and their follow-up change. ResultsChildren with low ferritin had increased HbA1c Z scores (ANCOVA, P = 0.003). Ferritin was inversely associated with glycaemia [fully adjusted β (95% confidence interval): −2.35(−4.36 to −0.34)]. Transferrin was associated with diastolic blood pressure [β: 0.02(0.01–0.04)] and log-HOMA-IR [β:0.001(0.0005–0.002)]. MetS risk score worsened during follow-up in children with the lowest baseline ferritin levels. In contrast, at baseline ferritin was positively associated with all (except glycaemia) the MetS-related variables but adjustments for inflammatory, hepatic function, and body mass markers attenuated those associations (P > 0.05). ConclusionsLower iron status was independently associated with glycaemic markers and MetS in children, whereas higher ferritin levels were related to other cardiometabolic risk markers under the influence of inflammation, hepatic injury and body mass. Research is required to study whether this mixed pattern is part of an early risk or would be explained by a normal transition during growth and development.

Body Mass Index Trajectories and Biomarkers of Cardiometabolic Risk in Children from Low-Income and Racially and Ethnically Diverse Households.

Background: This study examined the associations between BMI trajectories and emerging cardiometabolic risk (CMR) in children living in low-income and racially and ethnically diverse households in the United States. Methods: Data were drawn from NET-Works randomized intervention trial and NET-Works 2 prospective follow-up study (N = 338). BMI was measured across 6 follow-up visits and biomarkers of cardiometabolic risk (CMR) at the sixth visit. Group-based trajectory modeling identified child BMI trajectories. Adjusted multivariable linear regressions evaluated the associations between BMI trajectories and CMR. Results: We identified two BMI trajectories: 25% followed a trajectory of steep BMI increase, and 75% followed a moderate decreasing BMI trajectory over time. Relative to children in the moderate decreasing trajectory, children in the increasing trajectory had higher adjusted mean levels of C-reactive protein [CRP; 3.3; 95% confidence interval (CI): 1.6 to 5.0], leptin (63.1; 95% CI: 44.3 to 81.8), triglycerides (35.4; 95% CI: 22.1 to 48.6), triglyceride/high-density lipoprotein (HDL) ratio (1.2; 95% CI: 0.8 to 1.6), hemoglobin A1c (HbA1C; 0.1; 95% CI: 0.03 to 0.2), fasting glucose (1.8; 0.1 to 3.5) and insulin (8.8; 95% CI: 6.5 to 11.0), overall CMR score (0.7; 95% CI: 0.5 to 0.9), and lower adiponectin (-1.3; 95% CI: -2.5 to -0.1) and HDL (-10.8; 95% CI: -14.3 to -7.4). Conclusions: Children with high BMIs early in childhood were more likely to maintain an accelerated BMI trajectory throughout childhood, which was associated with adverse CMR in pre-adolescence. To advance health equity and support children's healthy weight and cardiovascular health trajectories, public health efforts are needed to address persistent disparities in childhood obesity and CMR.

Evaluation of ethnic differences in cardiometabolic risk in children

In adults, cardiometabolic conditions manifest differently by ethnicity with South Asians particularly predisposed. Whether these differences arise in childhood remains narrowly explored. We examined whether children of different ethnicities display differences in cardiometabolic risk (CMR). A cross-sectional analysis was conducted among 5,557 children (3-11 years). Multivariable linear regression models adjusted for age, sex, z-BMI, and demographic factors were used to estimate differences in CMR outcomes between children with parents that self-reported European ancestry (reference group) and one of thirteen other ethnicities (African, Arab, East Asian, Latin American, South Asian, Southeast Asian, Mixed Ethnicities, and Other). The primary outcome was a CMR score, calculated as the sum of age- and sex-standardized waist circumference, systolic blood pressure (SBP), glucose, log-triglycerides, and inverse high-density lipoprotein cholesterol (HDL-C), divided by √5. Lower mean CMR scores were observed among children with African (β= -0.62, 95% CI: -0.92; -0.32) and East Asian (β= -0.41, 95% CI: -0.68, -0.15) ancestry compared to children with European ancestry. Children with South Asian ancestry had higher SBP (β= 2.25, 95% CI: 1.27, 3.22) and non-HDL-C (β= 0.17, 95% CI: 0.07, 0.26) than children with European ancestry. Ethnic differences in CMR were observed in early and middle childhood.

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.

Socioeconomic disadvantage and high-effort coping in childhood: evidence of skin-deep resilience.

Low socioeconomic status (SES) is a risk factor for poor outcomes across development. Recent evidence suggests that, although psychosocial resilience among youth living in low-SES households is common, such expressions of resilience may not extend to physical health. Questions remain about when these diverging mental and physical health trajectories emerge. The current study hypothesized that skin-deep resilience - a pattern wherein socioeconomic disadvantage is linked to better mental health but worse physical health for individuals with John Henryism high-effort coping - is already present in childhood. Analyses focus on 165 Black and Latinx children (Mage = 11.5) who were free of chronic disease and able to complete study procedures. Guardians provided information about their SES. Children reported on their John Henryism high-effort coping behaviors. They also provided reports of their depressed and anxious mood, which were combined into a composite of internalizing symptoms. Children's cardiometabolic risk was captured as a composite reflecting high levels of systolic or diastolic blood pressure, waist circumference, HbA1c, triglycerides, and low high-density lipoprotein cholesterol. Among youth who reported using John Henryism high-effort coping, SES risk was unrelated to internalizing symptoms and was positively associated with cardiometabolic risk. In contrast, for youth who did not engage in high-effort coping, SES risk was positively associated with internalizing symptoms and was unrelated to cardiometabolic risk. For youth with high-effort coping tendencies, socioeconomic disadvantage is linked to cardiometabolic risk. Public health efforts to support at-risk youth must consider both mental and physical health consequences associated with striving in challenging contexts.

A Single-Point Insulin Sensitivity Estimator (SPISE) of 5.4 is a good predictor of both metabolic syndrome and insulin resistance in adolescents with obesity.

The Single-Point Insulin Sensitivity Estimator (SPISE) is a biomarker of insulin sensitivity estimated using BMI and triglycerides and high-density lipoprotein cholesterol. We assessed the accuracy of SPISE to screen obesity-related cardiometabolic risk in children and adolescents. Cross-sectional validation study for a screening test in a sample of n=725 children and adolescents from an obesity clinic. Weight, height, waist circumference, blood arterial pressure, lipid profile, glucose, insulin and Tanner stage were measured. BMI, BMI for-age-and sex (BAZ), and HOMA-IR were estimated. HOMA-IR values ≥2.1 and ≥3.3 were considered IR in Tanner I-II, ≥3.3 for Tanner III-IV and ≥2.6 for Tanner V, respectively. Metabolic Syndrome (MetS) was diagnosed with the Cook phenotype. SPISE was estimated according to the following algorithm: [600* HDL^0.185/(TG^0.2* BMI^1.338)]. The optimal SPISE cut points for IR and MetS prediction were determined by ROC curve analysis. In prepubertal obese patients (9.2 ± 2.1y; 18.4% males), the prevalence of IR and MetS was 28.2% y 46.9%, respectively; 58% had severe obesity (BAZ ≥4 SD). In pubertal obese patients (12.6 ± 1.8y; 57% males), the prevalence of IR and MetS was 34.1% and 55.3%, respectively; 34% had severe obesity. In prepubertal children, a SPISE of 6.3 showed the highest sensitivity (73.2%) and specificity (80%) to screen individuals with IR (AUC: 0.80; LR +: 3.3). Likewise, a SPISE of 5.7 got the highest sensitivity (82.6%) and specificity (86.1%) to screen patients with MetS (AUC: 0.87; LR +: 5.4). In pubertal patients, a SPISE of 5.4 showed the highest sensitivity and specificity to screen children and adolescents with both IR (Sn: 76.1%; Sp: 77.5%; AUC: 0.8; LR +: 3.1) and MetS (Sn: 90.4%; Sp: 76.1%; AUC: 0.90; LR +: 3.5). In children and adolescents with obesity, SPISE has good or very good performance in predicting IR and MetS. SPISE may be considered a relatively simple and low-cost diagnosis tool that can be helpful to identify patients with greater biological risk. In adolescents with obesity, the same cut point allows identification of those at higher risk of both IR and MetS.

Primary Validation of the Submandibular Skinfold as an Anthropometric Measurement of Cardiometabolic Risk in People with Intellectual Disabilities.

The accumulation of body fat is an important cardiometabolic risk factor; however, there is no consensus about which measure is more reliable for the assessment of cardiometabolic risk in people with intellectual disabilities. The aim of the present study was to primarily validate the submandibular skinfold as an anthropometric measurement of cardiometabolic risk in children, adolescents, and adults with intellectual disabilities, using a cross-sectional study made up of 131 people (67.2% men) with mild and moderate intellectual disability. The cardiometabolic risk indicators used were: body mass index (kg/m2), neck circumference (cm), waist circumference (cm), calf circumference (cm) and waist-to-height ratio. Moderate correlations were demonstrated between the submandibular skinfold measure and the anthropometric measurements analyzed in the three age categories, showing the highest correlation (r = 0.70) between the submandibular skinfold and BMI in the adolescent group and waist-to-height ratio in adults. The implementation of the submandibular skinfold measurement is suggested as an easy, fast, and minimally invasive anthropometric measurement as part of the physical and nutritional evaluation for the assessment of cardiometabolic risk in people with intellectual disabilities.

Assessment of body fat mass, anthropometric measurement and cardiometabolic risk in children and adolescents with achondroplasia and hypochondroplasia.

Achondroplasia is a rare skeletal dysplasia characterized by rhizomelic short stature, whose prevalence is about 1 per 25,000 births. For some patients with achondroplasia, excess body weight is one of the major concerns due to an impaired linear growth. Epidemiological studies revealed a premature onset of cardiovascular or cerebrovascular events in achondroplasia. An association between obesity and cardiometabolic risk factors related to cardiovascular events remains unknown in patients with achondroplasia/hypochondroplasia. This cross-sectional study investigated anthropometric measurements, body compositions and cardiometabolic risk factors in pediatric patients with achondroplasia/hypochondroplasia. Thirty-two patients with achondroplasia and ten with hypochondroplasia aged between 1.9 and 18.7 years were enrolled in this study. Half of the participants presented at least one cardiometabolic abnormality. Elevated systolic blood pressure was the most common abnormality. None of the participants developed metabolic syndrome or type 2 diabetes mellitus. Body mass index-standard deviation score and hip/height ratio were strongly correlated with percent body fat assessed by dual energy X-ray absorptiometry although no significant association was found between anthropometric measurements or body fat mass and any cardiometabolic risk factors. No significant difference in body fat mass, as well as body mass index-standard deviation score and hip/height, was found between cardiometabolically normal group and cardiometabolically abnormal groups. These results suggest that not only weight gain and hip/height changes should be monitored but also individual cardiometabolic risk factors should be evaluated to avoid cardiometabolic events in the healthcare management of pediatric patients with achondroplasia/hypochondroplasia.

Timing of introduction of complementary foods, breastfeeding, and child cardiometabolic risk: a prospective multiethnic Asian cohort study

BackgroundThe timing of introduction of complementary foods and the duration of breastfeeding (BF) have been independently associated with child overweight and obesity; however, their combined influence on body fat partitioning and cardiometabolic risk is unclear. ObjectiveWe investigated the associations of the timing of introduction of complementary foods, the duration of BF, and their interaction with child adiposity and cardiometabolic risk markers. MethodsWe analyzed data from 839 children in the prospective Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort. Mothers reported the age at which infants were first fed complementary foods and BF duration, classified as early (≤4 mo) versus typical (>4 mo) complementary feeding (CF) and short (≤4 mo) versus long (>4 mo) duration of any BF, respectively. We measured adiposity and cardiometabolic risk markers at the age of 6 y and examined their associations with infant feeding patterns using multiple regression, adjusting for sociodemographics, parents’ body mass index (BMI), maternal factors, birth weight for gestational age, and infant weight gain. ResultsOf 839 children, 18% experienced early CF, whereas 54% experienced short BF. Short (vs. long) BF and early (vs. typical) CF were independently associated with higher z-scores of BMI [β (95% confidence interval), short BF, 0.18 standard deviation score (SDS) (−0.01, 0.38); early CF, 0.34 SDS (0.11, 0.57)] and sum of skinfolds [short BF, 1.83 mm (0.05, 3.61); early CF, 2.73 mm (0.55, 4.91)]. Children who experienced both early CF and short BF (vs. typical CF–long BF) had synergistically higher diastolic blood pressure [1.41 mmHg (−0.15, 2.97), P-interaction = 0.023] and metabolic syndrome score [0.81 (0.16, 1.47), P-interaction = 0.081]. Early CF–long BF (vs. early CF–short BF) was associated with a lower systolic blood pressure [−3.74 mmHg (−7.01, −0.48)], diastolic blood pressure [−2.29 mmHg (−4.47, −0.11)], and metabolic syndrome score [−0.90 (−1.80, 0.00)]. ConclusionsA combination of early CF and short BF was associated with elevated child adiposity and cardiometabolic markers. Longer BF duration may protect against cardiometabolic risk associated with early CF.This trial was registered at clinicaltrials.gov as NCT01174875.

A Recreational Swimming Intervention during the Whole School Year Improves Fitness and Cardiometabolic Risk in Children and Adolescents with Overweight and Obesity

The benefits of swimming as a treatment for overweight children are undefined. We investigated the effects of recreational swimming on cardiometabolic risk in children/adolescents with normal and excess weight. Participants (n = 49, 26 girls, 10.3 ± 1.8 y) were grouped as 'eutrophic swimming' (EU-Swim, n = 14); 'excess weight swimming' (EW-Swim, n = 20) with an 'obese swimming' subgroup (OB-Swim, n = 10); and 'excess weight sedentary' (EW-Sed, n = 15) with an 'obese sedentary' subgroup (OB-Sed, n = 11). Swimming (50 min, twice/week, moderate-vigorous intensity) was an extra activity during the school year (6 + 3 months with a 3-month school break). Nutritional status, blood pressure (BP), physical activity, cardiorespiratory fitness, biochemical variables, autonomic modulation, endothelial function, abdominal fat, and carotid thickness were assessed at baseline, 6, and 12 months. Greater improvements (p < 0.05) occurred in EW-Swim vs. EW-Sed in body mass index (z-BMI, -16%, d+ 0.52), waist-to-height ratio (W/H, -8%, d+ 0.59-0.79), physical activity (37-53%, d+ 1.8-2.2), cardiorespiratory fitness (30-40%, d+ 0.94-1.41), systolic BP (SBP, -6-8%, d+ 0.88-1.17), diastolic BP (DBP, -9-10%, d+ 0.70-0.85), leptin (-14-18%, d+ 0.29-0.41), forearm blood flow (FBF, 26-41%, d+ 0.53-0.64), subcutaneous fat (SAT, -6%, d+ 0.18), and intra-abdominal fat (VAT, -16%, d+ 0.63). OB-Swim showed improvements vs. OB-Sed in TNFα (-17%, d+ 1.15) and adiponectin (22%, d+ 0.40). Swimming improved fitness and cardiometabolic risk in children/adolescents with overweight/obesity. (TCTR20220216001).