Remission of obesity among a nationally representative sample of US children

Predicting higher child BMI z-score and obesity incidence in Malaysia: a longitudinal analysis of a dynamic cohort study

BACKGROUND

To target public health obesity prevention, we need to predict who might become obese i.e. predictors of increasing Body Mass Index (BMI) or obesity incidence. Predictors of incidence may be distinct from more well-studied predictors of prevalence, therefore we explored parent, child and sociodemographic predictors of child/adolescent BMI z-score and obesity incidence over 5 years in Malaysia.

METHODS

The South East Asia Community Observatory in Segamat, Malaysia, provided longitudinal data on children and their parents (n = 1767). Children were aged 6-14 years at baseline (2013-14) and followed up 5 years later. Linear multilevel models estimated associations with child BMI z-score at follow-up, adjusting for baseline BMI z-score and potential confounders. Predictors included parent cardiometabolic health (overweight/obesity, central obesity, hypertension, hyperglycaemia), and socio-demographics (ethnicity, employment, education). Logistic multilevel models explored predictors of obesity incidence.

RESULTS

Higher baseline BMI z-score predicted higher follow-up BMI z-score both in childhood to late adolescence (0.60; 95% CI: 0.55, 0.65) and early to late adolescence (0.76; 95% CI: 0.70, 0.82). There was inconsistent evidence of association between child BMI z-score at follow-up with parent cardiometabolic risk factors independent of baseline child BMI z-score. For example, maternal obesity, but not overweight, predicted a higher BMI z-score in childhood to early adolescence (overweight: 0.16; 95% CI: -0.03, 0.36, obesity: 0.41; 95% CI: 0.20, 0.61), and paternal overweight, but not obesity, predicted a higher BMI z-score in early to late adolescence (overweight: 0.22; 95% CI: 0.01, 0.43, obesity: 0.16; 95% CI: -0.10, 0.41). Parental obesity consistently predicted five-year obesity incidence in early to late adolescence, but not childhood to early adolescence. An adolescent without obesity at baseline with parents with obesity, had 3-4 times greater odds of developing obesity during follow-up (incidence OR = 3.38 (95% CI: 1.14-9.98, mother) and OR = 4.37 (95% CI 1.34-14.27, father) respectively).

CONCLUSIONS

Having a higher BMI z-score at baseline was a stronger predictor of a higher BMI z-score at follow-up than any parental or sociodemographic factor. Targeting prevention efforts based on parent or sociodemographic factors is unwarranted but early childhood remains a key period for universal obesity prevention.

Dynamics of childhood obesity in Hong Kong throughout the COVID-19 pandemic before and after the school closures: a 3-year longitudinal study

OBJECTIVE

This study is to evaluate if there is any difference in the balance between incidence of and remission from overweight/obesity in Hong Kong school-age children before and during the COVID-19 pandemic over three years.

METHODS

This is a retrospective longitudinal study that involved children aged 6-16 years from a database of the School Physical Fitness Award Scheme.

RESULTS

2765 students were longitudinally followed up for two years. The prevalence of childhood overweight/obesity was increased between the 2019 and 2021 academic years (P < 0.001). During the COVID-19 pandemic, the rate of obesity remission significantly reduced by 7.9 % (P = 0.003), at a background of a plateau of obesity among children and adolescents.

CONCLUSIONS

Our study provides evidence on the impact of school closure and home confinement as a standard infection control measure for the prevention of COVID-19, which are likely to break the balance between incidence of and remission from childhood obesity.

Leveraging seasonality and timing to optimize pediatric weight management interventions: Novel directions for future research

National estimates suggest that more than 35% of American children, ages 2-19 years, are overweight or obese, which increases their risk for weight-related comorbidities including diabetes, cancer, cardiovascular disease risk factors, depression, and anxiety. While obesity prevention is most cost-effective, for youth with existing obesity, the United States Preventive Services Task Force recommends ≥26 h of comprehensive lifestyle intervention over 6-12 months. This include standard behavioral therapy, dietary counseling, and an emphasis on physical activity. Although such programs are effective in reducing weight status, there are many barriers to completing these programs. A novel consideration for both the prevention and treatment of childhood obesity is the recognition that the timing of intervention, both duration and time of the year, can impact family engagement and intervention effectiveness. This paper discusses the potential of targeting high-risk periods for weight gain and offering brief behavioral intervention, in hopes of inspiring research on novel approaches to the prevention and treatment of childhood obesity.

Weight outcomes in children with developmental disabilities from a multidisciplinary clinic

BACKGROUND

Children with developmental disabilities experience disparately high rates of obesity yet there are few reports detailing clinical outcomes for this population.

AIM

To describe outcomes of obesity treatment for children with developmental disabilities and a comparison group of children without developmental disabilities.

METHODS AND PROCEDURES

We examined weight outcomes of children with and without developmental disabilities seen in a family-centered, multidisciplinary treatment center over a ten-year period. We stratified by age and developmental disability diagnosis. We assessed whether intake demographic or health behavior data was associated with successful reduction of adiposity over six and twelve month follow-up periods, using a ≥5% absolute reduction in percent over the 95th percentile body mass index (BMIp95) as the primary outcome.

OUTCOMES AND RESULTS

Over a ten-year period, 148 of 556 children in the obesity clinic (27 %) had a developmental disability. In children <12 years of age, 36 % of children with developmental disabilities reduced their adiposity compared with 18 % of children without developmental disabilities at six months, p = .01. This pattern continued at twelve months. Active transport to school was associated with reduced adiposity for those without a disability. Older children with disabilities rarely had a significant reduction (2 of 26 children), and they took more medications with weight-related side effects.

CONCLUSIONS AND IMPLICATIONS

Younger children with developmental disabilities experienced relative success in reducing their adiposity. Challenges to addressing obesity in this population include structural barriers to physical activity and medications for behavioral management with weight-related side effects.

Paediatric obesity treatment during 14 years in Sweden: Lessons from the Swedish Childhood Obesity Treatment Register-BORIS

BACKGROUND

Treatment of paediatric obesity has been offered customarily and free of charge for more than 15 years in Sweden. The Swedish Childhood Obesity Treatment Register (BORIS) is a prospective register of children and adolescents undergoing obesity treatment.

OBJECTIVES

To investigate how patient characteristics and treatment efficacy has changed over 14 years on a national scale.

METHODS

All subjects in BORIS with data from 2004 until 2017 were included, n = 21 499. Outcomes were age and BMI SDS at treatment initiation, dropout rates and treatment outcome up to 3 years after treatment initiation.

RESULTS

Age and BMI SDS at treatment initiation have decreased during the years (both P < .0001). Of the patients who started treatment before 2009, more than 80% had at least 1-year follow-up. This number has decreased to about 60% in 2017. Since 2004, no trend in improvement of treatment results was observed when evaluating change in either BMI SDS or proportion of obesity remission. There was no difference between the sexes.

CONCLUSION

Although children in Sweden receive treatment at an earlier age, which is a major determinant of treatment success, and at a lower degree of obesity at treatment initiation, the effect of childhood obesity treatment on standard anthropometric measures has not improved over the investigated years.

Feasibility of enhancing well-child visits with family nutrition and physical activity risk assessment on body mass index

OBJECTIVE

Integration of behavioural risk assessment into well-child visits is recommended by clinical guidelines, but its feasibility and impact is unknown.

METHODS

A quasi-experimental study evaluated the feasibility and effectiveness of risk assessment on body mass index (BMI) at 1-year follow-up. Children with assessments (intervention) were compared with those who did not complete assessments (non-respondent) and those who received standard care (non-exposed).

RESULTS

Analyses included 10,647 children aged 2-9 years (2,724 intervention, 3,324 non-respondent and 4,599 non-exposed). Forty-five per cent of parents completed the assessments. Intervention and non-respondent groups differed in change in BMI z-score at 1 year by -0.05 (confidence interval [CI]: -0.08, -0.02; P = 0.0013); no difference was observed with non-exposed children. The intervention group had a smaller increase in BMI z-score (0.07 ± 0.63) than non-respondent group (0.13 ± 0.63). For children with normal weight at baseline, intervention versus non-respondent groups differed in BMI z-score change by -0.06 (CI: -0.10, -0.02; P = 0.0025). However, children with overweight at baseline in the intervention versus the non-exposed group differed in BMI z-score change (0.07 [CI: 0.02, 0.14]; P = 0.016). When analysed by age, results were similar for 2- to 5-year-olds, but no differences were found for 6- to 9-year-olds.

CONCLUSION

Automating risk assessment in paediatric care is feasible and effective in promoting healthy weight among preschool but not older children.