Overweight and obesity in preschool aged children and risk of mental health service utilization

The global burden of disease attributable to high body mass index in 204 countries and territories: Findings from 1990 to 2019 and predictions to 2035

AIM

Our study aims to provide an updated estimate of age- and sex-specific deaths and disability-adjusted life years (DALYs) associated with high body mass index (BMI) from 1990 to 2019 at the global, regional and national levels, and to forecast the global burden of disease attributed to high BMI from 2020 to 2035.

METHODS

We used the data for the number of deaths, DALYs, age-standardized rate (per 100 000 population), percentage change and population attributable fraction from the Global Burden of Disease Study 2019 (GBD 2019) to examine the disease burden attributable to high BMI. We further applied an autoregressive integrated moving average (ARIMA) model to predict the disease burden for the period 2020-2035.

RESULTS

From 1990 to 2019, the deaths and DALYs attributable to high BMI increased by 148% and 155.86% for men, and by 111.67% and 121.78% for women, respectively. In 2019, high BMI directly accounted for 8.52% [95% uncertainty intervals (UI) 0.05, 0.12] of all-cause deaths and 5.89% (95% UI 0.04, 0.08) of global DALYs. The highest death rates were observed in men aged 65-69 and women aged 75-79. The highest DALY rates were observed in the age group of 60-64 for both sexes. In 2019, the highest age-standardized deaths and DALY rates were observed in the Central Asia region [163.15 (95% UI 107.72, 223.58) per 100 000 people] and the Oceania region [4643.33 (95% UI 2835.66, 6902.6) per 100 000 people], respectively. Fiji [319.08 (95% UI 213.77, 444.96) per 100 000 people] and Kiribati [10 000.58 (95% UI 6266.55, 14159.2) per 100 000 people] had the highest age-standardized deaths and DALY rates, respectively. In 2019, the highest age-standardized rates of high BMI-related deaths and DALYs were observed in the middle-high socio-demographic index quintile and in the middle socio-demographic index quintile. The age-standardized deaths and DALY rates attributable to high BMI are projected to increase in both sexes from 2020 to 2035. The death rates are projected to rise from 62.79 to 64.31 per 100 000 people, while the DALY rates are projected to rise from 1946 to 2099.54 per 100 000 people.

CONCLUSIONS

High BMIs significantly contribute to the global disease burden. The projected rise in deaths and DALY rates attributable to high BMI by 2035 highlights the critical need to address the impact of obesity on public health. Our study provides policymakers with up-to-date and comprehensive information.

Pro- and anti-inflammatory cytokines are the game-changers in childhood obesity-associated metabolic disorders (diabetes and non-alcoholic fatty liver diseases)

Childhood obesity is a chronic inflammatory epidemic that affects children worldwide. Obesity affects approximately 1 in 5 children worldwide. Obesity in children can worsen weight gain and raise the risk of obesity-related comorbidities like diabetes and non-alcoholic fatty liver disease (NAFLD). It can also negatively impact the quality of life for these children. Obesity disrupts immune system function, influencing cytokine (interleukins) balance and expression levels, adipokines, and innate and adaptive immune cells. The altered expression of immune system mediators, including interleukin-1 (IL-1), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-17 (IL-17), interleukin-18 (IL-18), transforming growth factor (TGF), tumor necrosis factor (TNF), and others, caused inflammation, progression, and the development of pediatric obesity and linked illnesses such as diabetes and NAFLD. Furthermore, anti-inflammatory cytokines, including interleukin-2 (IL-2), have been shown to have anti-diabetes and IL-1 receptor antagonist (IL-1Ra) anti-diabetic and pro-NAFLFD properties, and interleukin-10 (IL-10) has been shown to have a dual role in managing diabetes and anti-NAFLD. In light of the substantial increase in childhood obesity-associated disorders such as diabetes and NAFLD and the absence of an effective pharmaceutical intervention to inhibit immune modulation factors, it is critical to consider the alteration of immune system components as a preventive and therapeutic approach. Thus, the current review focuses on the most recent information regarding the influence of pro- and anti-inflammatory cytokines (interleukins) and their molecular mechanisms on pediatric obesity-associated disorders (diabetes and NAFLD). Furthermore, we discussed the current therapeutic clinical trials in childhood obesity-associated diseases, diabetes, and NAFLD.

Body mass index, internalizing behavior and executive function: examining trait-state effects from age 2 to 15

This study aimed to examine the reciprocal relation between body mass index and internalizing behavior from age 2 to 15, and also the predictive role of executive function. This study included a subset sample of 640 children (47% were male) from the National Institute of Child Health and Development Study of Early Child Care and Youth Development. A refined random-intercept cross-lagged model was employed to analyze: (1) the reciprocal relation between children's body mass index and internalizing behavior assessed in eight waves from age 2 to 15; (2) the predictive role of executive functioning in both children's body mass index and internalizing behavior. Trait-level body mass index-to-internalizing behavior association was not found; a significant state-level prediction from body mass index in 5th grade to internalizing behavior in 6th grade was found. Executive function was significantly associated with trait-level body mass index, trait-level internalizing behaviors, and state-level internalizing behaviors. The findings suggest that deficits in children's executive functioning may be a shared risk associated with both high body mass index and internalizing behaviors. From an intervention perspective, this study highlighted the importance of targeting executive function to intervene in children's obesity or internalizing behaviors.

Breastfeeding moderates childhood obesity risk associated with prenatal exposure to excessive gestational weight gain

Gaining excessive gestational weight may increase obesity risk in the offspring, while breastfeeding lowers that risk. Using data from the Special Supplemental Nutrition Programme for Women, Infants and Children (WIC) in Southern California, we examined the associations between gestational weight gain (GWG), breastfeeding during infancy and childhood obesity at 2-4 years, and determined whether breastfeeding moderated the association between GWG and childhood obesity. GWG was based on weight measurements collected during the first trimester and within a month before delivery. GWG values were standardized by gestational age (GWG z-scores), per maternal prepregnancy body mass index (BMI) and categorized into tertiles. Fully breastfeeding duration was determined by WIC infant package data indicating the amount of infant formula received monthly. Children's length (or height) and weight measurements were used to calculate BMI-for-age z-scores and identify obesity (z-score ≥ 95th percentile). Multivariable linear and modified Poisson regression analyses were conducted. Fully breastfeeding moderated the association between GWG z-scores tertile and obesity in the offspring. Each additional month of fully breastfeeding was associated with 3%-5% obesity risk reduction for each age group and GWG z-scores tertile, except at age 4 years for children whose mothers had low GWG z-scores (tertile 1). Shorter fully breastfeeding duration was associated with greater obesity risk among children of mothers with high GWG z-scores (tertile 3), but not for those whose mothers had low GWG z-scores. Longer fully breastfeeding duration may provide greater protection against obesity among children at higher risk due to intrauterine exposure to high gestational weight gain.

Managing Obesity in Young Children: A Multiple Methods Study Assessing Feasibility, Acceptability, and Implementation of a Multicomponent, Family-Based Intervention

Background: We developed a multicomponent, family-based intervention for young children with obesity consisting of parent group sessions, home nursing visits, and multidisciplinary clinical encounters. Our objective was to assess intervention feasibility, acceptability, and implementation. Methods: From 2017 to 2020, we conducted a multiple methods study in the obesity management clinic at a tertiary children's hospital (Toronto, Canada). We included 1-6 year olds with a body mass index ≥97th percentile and their parents; we also included health care providers (HCPs) who delivered the intervention. To assess feasibility, we performed a pilot randomized controlled trial (RCT) comparing the intervention to usual care. To explore acceptability, we conducted parent focus groups. To explore implementation, we examined contextual factors with HCPs using the Consolidated Framework for Implementation Research. Results: There was a high level of ineligibility (n = 34/61) for the pilot RCT. Over 21 months, 11 parent-child dyads were recruited; of 6 randomized to the intervention, 3 did not participate in group sessions or home visits. In focus groups, themes identified by parents (n = 8) related to information provided at referral; fit between the intervention and patient needs; parental gains from participating in the intervention; and feasibility of group sessions. HCPs (n = 10) identified contextual factors that were positively and negatively associated with intervention implementation. Conclusions: We encountered challenges related to intervention feasibility, acceptability, and implementation. Lessons learned from this study will inform the next iteration of our intervention and are relevant to intervention development and implementation for young children with obesity. Clinical Trial Registration number: NCT03219658.

Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning

Background

Currently, in Canada, existing health administrative data and hospital-inputted portal systems are used to measure the wait times to receiving a procedure or therapy after a specialist visit. However, due to missing and inconsistent labelling, estimating the wait time prior to seeing a specialist physician requires costly manual coding to label primary care referral notes.

Methods

In this work, we represent the notes using word-count vectors and develop a logistic regression machine learning model to automatically label the target specialist physician from a primary care referral note. These labels are not available in the administrative system. We also study the effects of note length (measured in number of tokens) and dataset size (measured in number of notes per target specialty) on model performance to help other researchers determine if such an approach may be feasible for them. We then calculate the wait time by linking the specialist type from a primary care referral to a full consultation visit held in Ontario, Canada health administrative data.

Results

For many target specialties, we can reliably (F1Score ≥ 0.70) predict the target specialist type. Doing so enables the automated measurement of wait time from family physician referral to specialist physician visit. Of the six specialties with wait times estimated using both 2008 and 2015 data, two had a substantial increase (defined as a change such that the original value lay outside the 95% confidence interval) in both median and 75th percentile wait times, one had a substantial decrease in both median and 75th percentile wait times, and three has non-substantial increases.

Conclusions

Automating these wait time measurements, which had previously been too time consuming and costly to evaluate at a population level, can be useful for health policy researchers studying the effects of policy decisions on patient access to care.

Updating the Canadian clinical practice guideline for managing pediatric obesity: a protocol

BACKGROUND

Since the first national guideline for managing obesity in adults and children in Canada was published in 2007, new evidence has emerged and guideline standards have evolved. Our purpose is to describe the protocol used to update the Canadian clinical practice guideline for managing pediatric obesity.

METHODS

This guideline will update the pediatric components of the 2007 Canadian clinical practice guideline for the management of obesity. In partnership with Obesity Canada, we began preliminary work in 2019; activities are scheduled for completion in 2022. The guideline will follow standards developed by the National Academy of Medicine and the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) working group. Guideline development will be informed by 5 complementary literature reviews: a scoping review that focuses on clinical assessment in pediatric obesity management and 4 systematic reviews to synthesize evidence regarding families' values and preferences as well as the safety and effectiveness of interventions (psychological and behavioural; pharmacotherapeutic; and surgical). We will use standard systematic review methodology, including summarizing and assessing the certainty of evidence and determining the strength of recommendations. Competing interests will be managed proactively according to recommendations from the Guidelines International Network. Diverse stakeholders, including families and clinicians, will be engaged throughout guideline development.

INTERPRETATION

The guideline will support Canadian families and clinicians to make informed, value-sensitive and evidence-based clinical decisions related to managing pediatric obesity. The guideline and accompanying resources for end-users will be published in English and French, and we will partner with Obesity Canada to optimize dissemination using integrated and end-of-project knowledge translation.

Obesity and endocrine-disrupting chemicals

Obesity is now a worldwide pandemic. The usual explanation given for the prevalence of obesity is that it results from consumption of a calorie dense diet coupled with physical inactivity. However, this model inadequately explains rising obesity in adults and in children over the past few decades, indicating that other factors must be important contributors. An endocrine-disrupting chemical (EDC) is an exogenous chemical, or mixture that interferes with any aspect of hormone action. EDCs have become pervasive in our environment, allowing humans to be exposed daily through ingestion, inhalation, and direct dermal contact. Exposure to EDCs has been causally linked with obesity in model organisms and associated with obesity occurrence in humans. Obesogens promote adipogenesis and obesity, in vivo, by a variety of mechanisms. The environmental obesogen model holds that exposure to obesogens elicits a predisposition to obesity and that such exposures may be an important yet overlooked factor in the obesity pandemic. Effects produced by EDCs and obesogen exposure may be passed to subsequent, unexposed generations. This "generational toxicology" is not currently factored into risk assessment by regulators but may be another important factor in the obesity pandemic as well as in the worldwide increases in the incidence of noncommunicable diseases that plague populations everywhere. This review addresses the current evidence on how obesogens affect body mass, discusses long-known chemicals that have been more recently identified as obesogens, and how the accumulated knowledge can help identify EDCs hazards.

Characteristic-Grouped Adiposity Indicators for Identifying Metabolic Syndrome in Adolescents: Develop and Valid Risk Screening Tools Using Dual Population

A simple, robust, and characterized adiposity indicator may be appropriate to be used as a risk screening tool for identifying metabolic syndrome (MetS) in adolescents. This study used dual adolescent populations to develop and validate efficient adiposity indicators from 12 characterized candidates for identifying MetS that may occur during the transition from adolescence to young adulthood. Data from the adolescent Nutrition and Health Survey in Taiwan (n = 1920, 12–18 years) and the multilevel Risk Profiles for adolescent MetS study (n = 2727, 12–16 years) were respectively used as training and validation datasets. The diagnostic criteria defined by the International Diabetes Federation for adolescents (IDF-adoMetS) and the Joint Interim Statement for adults (JIS-AdMetS) were employed to evaluate MetS. In the training dataset, principal component analysis converted 12 interrelated obesity indices into bodyfat-, lipid-, and body-shape-enhanced groups, with the first two characteristic-groups having a higher discriminatory capability in identifying IDF-adoMetS and JIS-AdMetS. In the validation dataset, abdominal volume index (AVI) among girls and waist circumference (WC) among boys were respectively validated to have a higher Youden’s index (0.740–0.816 and 0.798–0.884) in identifying the two MetS. Every 7.4 and 4.3 positive tests of AVI (cutoff = 13.96) had an accurate IDF-adoMetS and JIS-AdMetS, respectively, and every 32.4 total tests of WC (cutoff = 90.5 cm) had a correct identification for the two MetS. This study stresses the discriminatory capability of bodyfat- and lipid-enhanced adiposity indicators for identifying MetS. AVI and WC were, respectively, supported as a risk screening tool for identifying female and male MetS as adolescents transition to adulthood.

Hospital Length of Stay, Charges, and Costs Associated With a Diagnosis of Obesity in US Children and Youth, 2006-2016

BACKGROUND

Childhood obesity is linked with adverse health outcomes and associated costs. Current information on the relationship between childhood obesity and inpatient costs is limited.

OBJECTIVE

The objective of this study was to describe trends and quantify the link between childhood obesity diagnosis and hospitalization length of stay (LOS), costs, and charges.

RESEARCH DESIGN

We use the National Inpatient Sample data from 2006 to 2016.

SUBJECTS

The sample includes hospitalizations among children aged 2-19 years. The treatment group of interest includes child hospitalizations with an obesity diagnosis.

MEASURES

Hospital LOS, charges, and costs associated with a diagnosis of obesity.

RESULTS

We find increases in obesity-coded hospitalizations and associated charges and costs during 2006-2016. Obesity as a primary diagnosis is associated with a shorter hospital LOS (by 1.8 d), but higher charges and costs (by $20,879 and $6049, respectively); obesity as a secondary diagnosis is associated with a longer LOS (by 0.8 d), and higher charges and costs of hospitalizations (by $3453 and $1359, respectively). The most common primary conditions occurring with a secondary diagnosis of obesity are pregnancy conditions, mood disorders, asthma, and diabetes; the effect of a secondary diagnosis of obesity on LOS, charges, and costs holds across these conditions.

CONCLUSIONS

Childhood obesity diagnosis-related hospitalizations, charges, and costs increased substantially during 2006-2016, and obesity diagnosis is associated with higher hospitalization charges and costs. Our findings provide clinicians and policymakers with additional evidence of the economic burden of childhood obesity and further justify efforts to prevent and manage the disease.

Socioeconomic inequalities in children's health-related quality of life according to weight status

OBJECTIVES

This study explores the association between socioeconomic position (SEP) and health-related quality of life (HRQoL) among Portuguese children according to their weight status.

METHODS

A total of 1215 primary school-aged children (mean age 8.78 years) from three Portuguese districts (Lisbon, Porto, Coimbra) were assessed during 2016/2017. Father and mother's education (low, medium, high) and work status (employed, unemployed/retired) were used as SEP indicators. Self-reported HRQoL was assessed with the KIDSCREEN-27. Height and weight were objectively measured and body mass index categorized in normal, overweight or obese. Age, sex, and district-adjusted linear regression models were fitted to estimate associations between SEP indicators and HRQoL dimensions, according to weight status.

RESULTS

We found that 24.9% of children were categorized as having overweight/obesity. The mean scores of the Physical Well-Being, and School Environment dimensions of HRQoL were lower among children classified with overweight/obesity compared to children with normal weight (57.21 vs 54.11, P < .001 and 57.85 vs 56.04, P = .010, respectively). Father's education was significantly associated with all HRQoL dimensions in children with a normal weight, but the same was not observed among children presenting overweight/obesity. An increase in the level of maternal education was also significantly associated with all HRQoL dimensions among children classified with a normal weight, and only for the School Environment dimension among children classified with overweight/obesity.

CONCLUSIONS

These results suggest the presence of socioeconomic inequalities in self-reported HRQoL from early age, particularly among children with normal weight.

Fit for School Study protocol: early child growth, health behaviours, nutrition, cardiometabolic risk and developmental determinants of a child's school readiness, a prospective cohort

INTRODUCTION

School readiness is a multidimensional construct that includes cognitive, behavioural and emotional aspects of a child's development. School readiness is strongly associated with a child's future school success and well-being. The Early Development Instrument (EDI) is a reliable and valid teacher-completed tool for assessing school readiness in children at kindergarten age. A substantial knowledge gap exists in understanding how early child growth, health behaviours, nutrition, cardiometabolic risk and development impact school readiness. The primary objective was to determine if growth patterns, measured by body mass index trajectories in healthy children aged 0-5 years, are associated with school readiness at ages 4-6 years (kindergarten age). Secondary objectives were to determine if other health trajectories, including health behaviours, nutrition, cardiometabolic risk and development, are associated with school readiness at ages 4-6 years. This paper presents the Fit for School Study protocol.

METHODS AND ANALYSIS

This is an ongoing prospective cohort study. Parents of children enrolled in the The Applied Health Research Group for Kids (TARGet Kids!) practice-based research network are invited to participate in the Fit for School Study. Child growth, health behaviours, nutrition, cardiometabolic risk and development data are collected annually at health supervision visits and linked to EDI data collected by schools. The primary and secondary analyses will use a two-stage process: (1) latent class growth models will be used to first determine trajectory groups, and (2) generalised linear mixed models will be used to examine the relationship between exposures and EDI results.

ETHICS AND DISSEMINATION

The research ethics boards at The Hospital for Sick Children, Unity Health Toronto and McMaster University approved this study, and research ethics approval was obtained from each school board with a student participating in the study. The findings will be presented locally, nationally and internationally and will be published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT01869530.

A network analysis of the causal attributions for obesity in children and adolescents and their parents

Illness attributions inform how people understand illness and relate to psychological outcomes. Parental attributions may impact children's adjustment to illness. This study investigated child, adolescent and parental causal attributions in paediatric obesity and illustrates the relationships between these attributions using network analysis. A cross-sectional design using the diagram network analytic method. Thirty children and 25 parents generated individual causal attribution maps. Network theory was used to analyse causal effects and results were visualised using network models. The results indicated large individual variation in the networks. Activity and eating-related variables featured strongly in child and parent networks. Children viewed their activity while parents regarded their child's eating behaviours as the main drivers of obesity. The characterisation of some children along an internalising dimension was supported in both networks. Habitual cluster behaviours and difficulties in regulation were identified in the child network. Parents ascribed significance to the future impact of obesity on body image and mood. Challenges in parent management were also indicated. Obesity is a heterogeneous condition, requiring a tailored treatment approach. Therapeutic directions were identified in the areas of activity, food intake, sleep hygiene and parent management. Attributional processes represent a potential mechanism to tailor obesity treatment. Further research is needed to establish the relationship between attributions, treatment engagement and outcome.