Association between birth weight and risk of abdominal obesity in children and adolescents: a school-based epidemiology survey in China

The Accumulative Effect of Multiple Postnatal Risk Factors with the Risk of Being Overweight/Obese in Late Childhood

Most past studies focused on the associations of prenatal risk factors with the risks of childhood overweight/obesity. Instead, more postnatal risk factors are modifiable, with less knowledge of their cumulative effects on childhood obesity. We analyzed data of 1869 children in an Australian birth cohort. Key postnatal risk factors included: maternal and paternal overweight/obesity during the child's infancy, tobacco exposure, low family socioeconomic score, breastfeeding duration < 6 months, early introduction of solid foods, and rapid weight gain during infancy. The risk score was the sum of the number of risk factors. The primary outcome is overweight/obesity in late childhood (11-12 years); secondary outcomes are high-fat mass index (FMI), body fat percentage (BF%), and waist-to-height ratio (WHtR). Poisson regression models were used in the analyses. Children with higher risk scores had higher risks of overweight/obesity (p-for-trends < 0.001). After adjusting covariates, compared with those with 0-1 risk factors, children with 4-6 risk factors had 4.30 (95% confidence interval: 2.98, 6.21) times higher risk of being overweight/obesity; the relative risks for high FMI, BF%, and WHtR were 7.31 (3.97, 13.45), 4.41 (3.00, 6.50), and 6.52 (3.33, 12.74), respectively. Our findings highlighted that multiple postnatal risk factors were associated with increased risks of being overweight/obesity in late childhood.

The impact of macrosomia on cardiometabolic health in preteens: findings from the ROLO longitudinal birth cohort study

BACKGROUND

Macrosomia (birthweight ≥ 4 kg or ≥ 4.5 kg) is strongly associated with a predisposition to childhood obesity, which in turn is linked with adverse cardiometabolic health. Despite this, there is a lack of longitudinal investigation on the impact of high birthweight on cardiometabolic outcomes in youth. The preteen period represents an important window of opportunity to further explore this link, to potentially prevent cardiometabolic profiles worsening during puberty.

METHODS

This is a secondary analysis of 9-11-year-olds (n = 405) born to mothers in the ROLO longitudinal birth cohort study, who previously delivered an infant with macrosomia. Preteens were dichotomised into those born with and without macrosomia, using two common cut-off criteria (birthweight ≥ 4 kg (n = 208) and < 4 kg; ≥ 4.5 kg (n = 65) and < 4.5 kg). Cardiometabolic health was assessed using anthropometry, dual-energy x-ray absorptiometry, blood pressure, heart rate, cardiorespiratory endurance (20-m shuttle run test), and non-fasting serum biomarkers for a subgroup (n = 213). Statistical comparisons between the two groups were explored using independent t-tests, Mann-Whitney U tests, and Chi-square tests. Crude and adjusted linear regression models investigated associations between macrosomia and preteen cardiometabolic outcomes.

RESULTS

In total, 29.3% (n = 119) of preteens had overweight/obesity based on their BMI z-score. Preteens born ≥ 4 kg had lower median (IQR) C3 concentrations (1.38 (1.22, 1.52) g/L vs. 1.4 (1.26, 1.6) g/L, p = 0.043) and lower median (IQR) ICAM-1 concentrations (345.39 (290.34, 394.91) ng/mL vs. 387.44 (312.91, 441.83) ng/mL, p = 0.040), than those born < 4 kg. Those born ≥ 4.5 kg had higher mean (SD) BMI z-scores (0.71 (0.99) vs. 0.36 (1.09), p = 0.016), and higher median (IQR) lean mass (24.76 (23.28, 28.51) kg vs. 23.87 (21.9, 26.79) kg, p = 0.021), than those born < 4.5 kg. Adjusted linear regression analyses revealed birthweight ≥ 4 kg was negatively associated with C3 concentration (g/L) (B = - 0.095, 95% CI = - 0.162, - 0.029, p = 0.005) and birthweight ≥ 4.5 kg was positively associated with weight z-score (B = 0.325, 95% CI = 0.018, 0.633, p = 0.038), height z-score (B = 0.391, 95% CI = 0.079, 0.703, p = 0.014), lean mass (kg) (B = 1.353, 95% CI = 0.264, 2.442, p = 0.015) and cardiorespiratory endurance (B = 0.407, 95% CI = 0.006, 0.808, p = 0.047).

CONCLUSION

This study found no strong evidence to suggest that macrosomia is associated with adverse preteen cardiometabolic health. Macrosomia alone may not be a long-term cardiometabolic risk factor. Trial registration ISRCTN54392969 registered at  www.isrctn.com .

The association of phthalate metabolites with childhood waist circumference and abdominal obesity

The association between phthalates exposure and childhood abdominal obesity is still unclear. This study aimed to assess phthalates (PAEs) exposure level and explore the association between PAEs metabolites exposure and the risk of abdominal obesity in Chinese students aged 7-10 years. A total of 798 students aged 7-10 years were selected from the baseline survey of the cohort of Childhood Blood Pressure and Environmental Factors (CBPEF), which was established in Xiamen City, Fujian province, East China, from August to November in 2018. Urine samples were collected from these students to analyze the concentrations of seven PAEs metabolites using the method of high-performance liquid chromatography-tandem triple quadrupole mass spectrometry. Waist circumference was used to define abdominal obesity. The logistic regression model was used to analyze the association of urinary creatinine-adjusted PAEs metabolites with childhood abdominal obesity risk. The prevalence of childhood abdominal obesity is 12.0% (96/798). Apart from mono(2-ethylhexyl) phthalate (62.5% for boys and 47.0% for girls), the detection rate of the others PAEs metabolites ranged from 82.6 to 100%. Boys had higher concentrations of PAEs metabolites than girls (P < 0.05), except for monoethyl phthalate. Compared with the Q1 group of PAEs metabolites, the risk of childhood abdominal obesity increased to 429% (OR = 5.29; 95% CI: 2.09, 13.39) and 273% (OR = 3.73; 95% CI: 1.57, 8.86) for the Q4 group of monoethyl phthalate and monoisobutyl phthalate, respectively.

CONCLUSION

The detection rate of PAEs metabolites is common, and the exposure level of PAEs metabolites was associated with the risk of abdominal obesity in Chinese students aged 7-10 years.

WHAT IS KNOWN

• The prevalence of childhood abdominal obesity had increased sharply from 4.9% in 1993 to 17.5% in 2014 in China. More than 80% of the Chinese children and adolescents have measurable level of several PAEs metabolites in the urine. Previous studies with limited sample had explored the association between DEHP metabolites exposure and childhood abdominal obesity risk, however, the association were inconsistent.

WHAT IS NEW

• The detection rate of PAEs metabolites is common among Chinese children aged 7-10 years. Boys had higher concentrations of PAEs metabolites than girls (P < 0.05), except for monoethyl phthalate. Compared with the Q1 group of PAEs metabolites, the risk of childhood abdominal obesity increased to 429% and 273% for the Q4 group of monoethyl phthalate and monoisobutyl phthalate, respectively.

Macrosomia and fetal growth restriction: evidence for similar extrauterine metabolic risks but with differences in pathophysiology

PURPOSE

To investigate and compare the causes of macrosomia and FGR fetuses, their ultrasound characteristics and the importance of their similar metabolic profile in intrauterine and extrauterine life.

MATERIALS AND METHODS

We searched Pubmed/Google Scholar database up until 15 December 2020 using keywords. Out of the 70 matching results we selected 50 most representative and matching papers.

RESULTS

We found similar causes and metabolic profiles and in both conditions offspring are at increased risk of developing metabolic and cardiovascular diseases in the extrauterine life.

CONCLUSION

Despite similarities of the maternal factors and fetal metabolic profile it is still unknown which of them has worse metabolic status during intrauterine and extrauterine life.

Associations of community, famliy and early individual factors with body mass index z-scores trajectories among Chinese children and adolescents

The prevalence of childhood overweight and obesity is increasing. This study aimed to examine trajectories of BMI z-scores among Chinese children and the potential determinants including early individual, family and community factors. Group-based trajectory modeling was employed to identify BMI z-scores trajectories of children aged 2-18 years using the five waves data (2010, 2012, 2014, 2016, and 2018) of the China Family Panel Studies (CFPS). Multivariate logistic regression was conducted to determine the association between early individual, family, community factors and BMI z-scores trajectories of children. We identified three trajectories for boys and girls, named Class 1 as "not-overweight", Class 2 as "persistent rapid descending but overweight during pre-school age", and Class 3 as "rapid rising up to school age and then become-overweight" class. Macrosomia (OR 1.772; 95% CI 1.188-2.644) and being a single child (OR 2.038; 95% CI 1.453-2.859) were more likely to belong in Class 3 among boys. Girls living in the advantaged communities (OR 1.539; 95% CI 1.052-2.252), rural-living (OR 1.558; 95% CI 1.133-2.142) and with none social integration (OR 1.496; 95% CI 1.07-2.091) were more likely to belong in Class 2. There are heterogeneous BMI z-scores trajectories of children aged 2-18, and pre-school age is a critical window that could predict the long-term growth patterns. BMI z-scores trends need to be monitored during pre-school age, focusing on those at higher risk of later overweight obesity status, and targeted interventions at the early individual, family, community levels are essential.

High Prevalence of Obesity but Low Physical Activity in Children Aged 9-11 Years in Beijing

OBJECTIVE

To investigate the prevalence and associated factors of childhood overweight/obesity in the Shunyi district of Beijing, China.

METHODS

This study adopted a cross-sectional survey and included 10,855 children aged 6-18 years in the Shunyi district of Beijing, China. Analyses were stratified by age group (6-8, 9-11, 12-14, and 15-18 years).

RESULTS

The prevalence of overweight and obesity among children aged 6-18 years was high with 17.62% and 29.05% in boys, 17.57% and 18.04% in girls, respectively. Both boys and girls aged 9-11 years had the highest rate of obesity in comparison with the other age groups, though the differences in children aged 9-11 years and 12-14 years were not statistically significant. Compared with age 6-8 years, age 9-11 years (OR=1.59, 95% CI 1.41-1.79, P<0.01) and 12-14 years (OR=1.26, 95% CI 1.48-1.73, P<0.01) were independently positively associated with obesity. Importantly, in all subjects, the percentages of being physically active (exercise time ≥120 minutes/week) were lower in children aged 9-11 years in comparison to children in other age groups. This phenomenon remained when this comparison was performed respectively in the normal-weight, overweight, and obesity groups. Even after adjustment for other potential confounders, the probability of being physically active (exercise time ≥120 minutes/week) was lower in children aged 9-11 years (OR=0.86, 95% CI 0.78-0.94, P<0.01), but higher in children aged 12-14 years (OR=1.91, 95% CI 1.69-2.17, P<0.01) and aged 15-18 years (OR=2.22, 95% CI 1.85-2.66, P<0.01), when compared with children aged 6-8 years.

CONCLUSION

Children aged 9-11 years had a higher prevalence of obesity, but a lower percentage of being physically active. Targeted intervention programs in this key group are needed to address this problem in China.