Determinants of new onset cardiometabolic risk among normal weight children

Associations of childhood BMI traits with blood pressure and glycated haemoglobin in 6-9-year-old Samoan children

INTRODUCTION

Prevalence and risk factors for elevated glycated haemoglobin (HbA1c) and blood pressure (BP) are poorly understood among Pacific children. We examined associations of HbA1c and BP in 6-9 year-olds with body mass index (BMI) at ages 2, 5, and BMI velocity between 2-9 years in Samoa.

METHODS

HbA1c (capillary blood) and BP were measured in n = 410 Samoan children who were part of an ongoing cohort study. Multilevel models predicted BMI trajectory characteristics. Generalized linear regressions assessed associations of childhood characteristics and BMI trajectories with HbA1c and BP treated as both continuous and categorical outcomes. Primary caregiver-reported childhood characteristics were used as covariates.

RESULTS

Overall, 12.90% (n = 53) of children had high HbA1c (≥5.7%) and 33.17% (n = 136) had elevated BP. BMI at 5-years and BMI velocity were positively associated with high HbA1c prevalence in males. A 1 kg/m2 per year higher velocity was associated with a 1.71 (95% CI: 1.07, 2.75) times higher prevalence of high HbA1c. In females, higher BMI at 5-years and greater BMI velocity were associated with higher BP at 6-9 years (95% CI: 1.12, 1.40, and 1.42, 2.74, respectively).

CONCLUSION

Monitoring childhood BMI trajectories may inform cardiometabolic disease screening and prevention efforts in this at-risk population.

Multilevel prenatal socioeconomic predictors of Mexican American children's cardiometabolic health in preschool and school age

OBJECTIVE

Using a life course perspective, this longitudinal study examines the extent to which prenatal family- and neighborhood-level socioeconomic factors influence the cardiometabolic health of low-income Mexican American children. It was hypothesized that prenatal maternal residence in a more economically disadvantaged neighborhood and more family-level economic hardship would each be associated with higher adiposity and blood pressure (BP) at child age 4.5 years, and higher adiposity, BP, inflammation and a less healthy lipid profile at child age 7.5 years.

METHOD

The sample consisted of 322 low-income, Mexican American mother-child dyads, 181 of whom completed the 7.5-year laboratory visit. Using maternal prenatal residence and U.S. census data, neighborhood concentrated disadvantage index was computed.

RESULTS

Higher prenatal neighborhood concentrated disadvantage predicted higher 4.5-year adiposity in children, which, in turn, predicted higher adiposity, BP, and inflammation, and less healthy lipid profile (higher triglycerides, lower high-density lipoprotein cholesterol) at 7.5 years. Higher child 4.5-year BP was concurrently associated with higher adiposity and predicted higher 7.5-year BP.

CONCLUSIONS

Extending previous work with this sample, the current study found associations between cardiometabolic risk indicators as early as preschool among Mexican American children. Furthermore, this study builds on existing literature by expanding our understanding of the effect of prenatal neighborhood concentrated disadvantage on cardiometabolic phenotypes during early childhood. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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

OBJECTIVE

To 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%.

METHODS

A 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.

RESULTS

We 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.

CONCLUSIONS

Results 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.

Neighborhood obesogenic environment and cardiometabolic risk in Brazilian children: The mediation role of the mother's body mass index

OBJECTIVE

We aimed to evaluate the association of neighborhood obesogenic and leptogenic environments with cardiometabolic risk clustering among Brazilian schoolchildren, mediated by child's ultra-processed food consumption and the mother's body mass index (BMI).

METHODS

A total of 367 children aged 8-9 years, enrolled in urban schools of Viçosa, Minas Gerais, Brazil, were evaluated. Waist circumference, insulin resistance, blood pressure, high-density lipoprotein-cholesterol, and triglycerides concentrations were measured. The child's ultra-processed food consumption assessment was performed by applying three 24-hour dietary recall. The mother's weight and height values were used to calculate the BMI. The neighborhood income, walkability index, predominantly ultra-processed food stores, public spaces for leisure, and/or physical activities, traffic accidents, crime, and green spaces densities were assessed in four hundred road network buffers around households. From neighborhood and cardiometabolic risk variables, four latent variables were obtained from confirmatory factor analysis: neighborhood "obesogenic", and "leptogenic" environments; "high cardiometabolic risk," and "low atherogenic risk". A structural equation model was used to test the direct and indirect associations between neighborhood environment and cardiometabolic risk clusters.

RESULTS

The neighborhood obesogenic environment had a significant total association (Standardized Coefficient = 0.172, p = .011) and was indirectly associated with the child's "high cardiometabolic risk" cluster, mediated by the mother's body mass index (Standardized Coefficient = 0.066, p = .049).

CONCLUSIONS

Our results reinforce the role of the urban environment on maternal obesity and child's cardiometabolic risk and provide evidence for public health policies aimed to prevent such conditions.

Social jetlag is associated with obesity-related outcomes in 9-11-year-old children, independent of other sleep characteristics

INTRODUCTION

Social jetlag has been reported to predict obesity-related indices, independent of sleep duration, with associations in female adolescents but not males. However, such sex-specific relationships have not been investigated in pre-adolescents.

OBJECTIVES

To examine: (i) the relationships between sleep characteristics, including social jetlag, and obesity-related outcomes during childhood, and (ii) whether these relationships are moderated by sex.

METHODS

This cross-sectional study included 381 children aged 9-11 years (49.6% female). Average sleep duration, social jetlag, and physical activity were assessed via wrist-worn accelerometry. Sleep disturbances were quantified from the Children's Sleep Habits Questionnaire. Obesity-related outcomes included age-specific body mass index Z-scores (zBMI) and waist-to-height ratio. Additionally % fat, total fat mass, and fat mass index were assessed via bioelectrical impedance analysis. Linear mixed models that nested children within schools were used to identify relationships among sleep characteristics and obesity-related outcomes.

RESULTS

Positive associations between social jetlag with zBMI, % fat, and fat mass index were seen in univariable and unadjusted multivariable analyses. Following adjustments for known confounders, social jetlag remained significantly associated with zBMI (β = 0.12, p = 0.013). Simple slopes suggested a positive association in girls (β = 0.19, p = 0.006) but not in boys (β = 0.03, p = 0.703).

CONCLUSIONS

Obesity prevention efforts, particularly in girls, may benefit from targeted approaches to improving the consistency of sleep timing in youth.

Intraindividual double-burden of anthropometric undernutrition and "metabolic obesity" in Indian children: a paradox that needs action

Background

Intraindividual coexistence of anthropometrically defined undernutrition and “metabolic obesity”, characterised by presence of at least one abnormal cardiometabolic risk factor, is rarely investigated in young children and adolescents, particularly in Low-and-Middle-Income-Countries undergoing rapid nutrition transition.

Methods

Prevalence of biomarkers of metabolic obesity was related to anthropometric and socio-demographic characteristics in 5-19 years old participants from the population-based Comprehensive National Nutrition Survey in India (2016-2018). The biomarkers, serum lipid-profile (total cholesterol (TC), low density lipoprotein (LDL), high density lipoprotein (HDL) and triglycerides), fasting glucose, and glycosylated hemoglobin (HbA1C), and all jointly were analysed in 22567, 23192, 25962 and 19143 participants, respectively.

Results

Overall (entire dataset), the prevalence of abnormalities was low (4.3-4.5%) for LDL and TC, intermediate for dysglycemia (10.9-16.1%), and high for HDL and triglycerides (21.725.8%). Proportions with ≥1 abnormal metabolic obesity biomarker(s) were 56.2% overall, 54.2% in thin (BMI-for-age <-2SD) and 59.3% in stunted (height-for-age <-2SD) participants. Comparable prevalence was evident in mild undernutrition (-1 to -2 SD). Clustering of two borderline abnormalities occurred in one-third, warranting active life-style interventions. Metabolic obesity prevalence increased with BMI-for-age. Among those with metabolic obesity, only 9% were overweight/obese (>1SD BMI-for-age). Among poor participants, triglyceride, glucose and HDL abnormalities were higher.

Conclusions

A paradoxical, counter-intuitive prevalence of metabolic obesity biomarker(s) exists in over half of anthropometrically undernourished and normal-weight Indian children and adolescents. There is a crucial need for commensurate investments to address overnutrition along with undernutrition. Nutritional status should be characterized through additional reliable biomarkers, instead of anthropometry alone.

Dietary fibre intake in childhood or adolescence and subsequent health outcomes: A systematic review of prospective observational studies

AIM

To determine whether higher fibre intakes during childhood or adolescence effect a broad range of intermediate markers of cardiometabolic risk or other health related issues.

MATERIALS AND METHODS

We used online searches up to January 2020 and manual searches to identify prospective observational studies reporting on childhood or adolescent intakes of dietary fibre, vegetables, fruit and refined or whole grains. Outcomes measured later in life were body weight, blood lipids, blood pressure, glycaemia, bone health, cognition, growth and bowel habits. Potential age-specific ranges for dietary fibre were extrapolated from published adult data.

RESULTS

We identified 45 publications reporting on 44 354 participants from 30 cohort studies. Mean age at dietary assessment varied from 1 to 19.3 years. Follow-up duration varied from 4 months to 27 years. Although well-conducted studies reported improvements in body weight, blood lipids and glycaemia, the diverse nature of studies precluded meta analysis. The quality of evidence was very low to low given the limited data available per outcome and the inability to synthesize results from multiple studies. Potential dietary fibre intake begins at 13-16 g a day for 2-year-olds and increases until the age of 10 years, when values are comparable with an adult range of 25-30 g a day.

CONCLUSIONS

Given the inconsistency in findings from cohort studies other than an absence of detrimental effects, it seems appropriate that recommendations regarding childhood fibre intake are extrapolated from relevant adult data.