The association between parent-reported provider communication quality and child obesity status: Variation by parent obesity and child race/ethnicity

Building Trust and Partnership with Black Pediatric Patients and their Caregivers

Systemic racism embedded within the US health care system results in disproportionately worse health outcomes for Black pediatric patients and their caregivers. One meaningful mechanism through which these health disparities persist is through discriminatory treatment and anti-Black bias from clinicians. Strengthening care provided to Black pediatric patients and their caregivers requires that clinicians adopt culturally tailored communication strategies that promote health equity and counter racism. We conducted a scoping review of evidence-based communication practices in the medical literature that improve care for Black pediatric patients. We mapped the specific practices to the Presence 5 for Racial Justice framework and identified cross-cutting themes to describe practices across the five domains. There are three cross-cutting themes that underlie the recommended practices: 1) promote unbiased implementation of clinician communication strategies (eg, providing equitable recommendations for preventive care), 2) tailor care to Black pediatric patients (eg, explore the importance of the family unit), and 3) address racism experienced by Black pediatric patients and their caregivers (eg, acknowledge any previous negative experiences with the health care system). This review highlights communication practices that clinicians can adopt to build trusting relationships, empower Black families, and promote racial justice in clinical care. Future opportunities include expanding to system level change and validating these practices with patients and clinicians.

Racial and ethnic inequities in the quality of paediatric care in the USA: a review of quantitative evidence

Racial and ethnic inequities in paediatric care have received increased research attention over the past two decades, particularly in the past 5 years, alongside an increased societal focus on racism. In this Series paper, the first in a two-part Series focused on racism and child health in the USA, we summarise evidence on racial and ethnic inequities in the quality of paediatric care. We review studies published between Jan 1, 2017 and July 31, 2022, that are adjusted for or stratified by insurance status to account for group differences in access, and we exclude studies in which differences in access are probably driven by patient preferences or the appropriateness of intervention. Overall, the literature reveals widespread patterns of inequitable treatment across paediatric specialties, including neonatology, primary care, emergency medicine, inpatient and critical care, surgery, developmental disabilities, mental health care, endocrinology, and palliative care. The identified studies indicate that children from minoritised racial and ethnic groups received poorer health-care services relative to non-Hispanic White children, with most studies drawing on data from multiple sites, and accounting for indicators of family socioeconomic position and clinical characteristics (eg, comorbidities or condition severity). The studies discussed a range of potential causes for the observed disparities, including implicit biases and differences in site of care or clinician characteristics. We outline priorities for future research to better understand and address paediatric treatment inequities and implications for practice and policy. Policy changes within and beyond the health-care system, discussed further in the second paper of this Series, are essential to address the root causes of treatment inequities and to promote equitable and excellent health for all children.

Testing the Multiple Disadvantage Model of Health with Ethnic Asian Children: A Secondary Data Analysis

This study of ethnic Asian children in the United States asked whether their health exhibited relationship with any of six factors: social disorganization, social structural factors, social relationships, the health of their parents, their access to medical insurance, acculturation. The sample of 1350 ethnic Asian children was extracted from the 2018 National Survey of Children's Health. Logistic regression results showed that these children's excellent/very good/good health was associated positively with safe neighborhoods, family incomes, family cohesiveness, family support, and receipt of Temporary Assistance for Needy Families (TANF). In turn, health was associated negatively with single-mother households. Implications of the present results in terms of interventions promoting family support, TANF participation, safe neighborhoods, and professionals' cultural competency are discussed.

Factors Related to Immigrant/Nonimmigrant Children's Experience of Being Bullied: An Analysis Using the Multiple Disadvantage Model

Applying the multiple disadvantage model, a study of children in the United States examined experiences of being bullied in terms of 5 factors: social disorganization, social structural factors, social relationships, mental health and access to care, and acculturation. The study was a secondary data analysis of 19,882 immigrant and non-immigrant children, using data from the 2018 National Survey of Children's Health. Logistic regression results show children's likelihood of being bullied to be associated positively with racial discrimination; child mental health problem (either attention deficit/hyperactivity disorder, depression, anxiety, behavioral/conduct problem, or Tourette Syndrome); family substance use; being female; being age 6-10; being age 11-13; and parent education level. Likelihood of being bullied was associated negatively with safe neighborhood; being Black; being Asian; family cohesiveness; neighbor support; parent mental health; being a first- or second-generation immigrant; and parent age. The results imply the usefulness of interventions promoting racial harmony and family support.

Disparities in Patient- and Family-Centered Care Among Children With Health Conditions

The objective of this study was to estimate and compare the prevalence of patient- and family-centered cae (PFCC) received by children in the United States (US) with chronic and developmental health conditions and determine associations between the presence of the conditions and parents' perceptions of PFCC after controlling for covariates. Linked data from the 2012-2016 National Health Interview Survey (NHIS) and 2013-2017 Medical Expenditure Panel Survey (MEPS) (n = 7,835) were tested using crude and adjusted logistic regression procedures. Parents of children with developmental delays had 32% lower odds (95% CI = 0.51-0.90) of reporting their healthcare provider always exhibited all PFCC qualities. Parents of children with allergies and developmental delays had 26% (95% CI = 0.58-0.95) and 42% (95% CI = 0.42-0.80) lower odds of reporting their provider always listened carefully compared to parents whose children did not. Findings demonstrate the importance of continuous training for providers to tailor communication for families who have children with health conditions.

Social determinants of overweight and obesity in the mother-child binomial: evidences from Mexico

Background

To analyze the influence of socioeconomic determinants on the development of overweight and obesity in the mother-child binomial.

Methods

This is a study based on a prospective cohort of the mother-child binomial. Using STATA software, the association between the mothers’ body mass index and the nutritional status of minors was analyzed using a logistic regression model with socioeconomic and demographic variables.

Results

The combined prevalence of overweight and obesity in cohort mothers was 53.2%. A statistically significant association was found between the overweight mothers and minors with possible risk of overweight (p 0.001) and with overweight (p 0.001). The logistic regression model was adjusted by age and marital status and linked maternal overweight and obesity with the following variables: severe food insecurity (RR 1.17, CI 0.04–0.31), having a health problem (RR 1.5, CI 0.86–2.05), income (RR 1.79, CI .49–1.30), smoking (RR 1.1, CI 0.80–1.37) and dietary pattern (RR 1.5, CI 0.38–0.87).

Conclusions

The study highlights the importance of paying attention to risk factors starting at the gestational stage, since at this time the mother’s nutritional status has an influence on the offspring’s growth and development. Evidences exist of an association between intergenerational transmission of obesity and socioeconomic aspects of the mother. These evidences must be considered in the revision and adjustments to health system interventions for the prevention of obesity in the mother-child binomial.

Associations of Body Mass Index with Demographics, Lifestyle, Food Intake, and Mental Health among Postpartum Women: A Structural Equation Approach

As postpartum obesity is becoming a global public health challenge, there is a need to apply postpartum obesity modeling to determine the indicators of postpartum obesity using an appropriate statistical technique. This research comprised two phases, namely: (i) development of a previously created postpartum obesity modeling; (ii) construction of a statistical comparison model and introduction of a better estimator for the research framework. The research model displayed the associations and interactions between the variables that were analyzed using the Structural Equation Modeling (SEM) method to determine the body mass index (BMI) levels related to postpartum obesity. The most significant correlations obtained were between BMI and other substantial variables in the SEM analysis. The research framework included two categories of data related to postpartum women: living in urban and rural areas in Iran. The SEM output with the Bayesian estimator was 81.1%, with variations in the postpartum women's BMI, which is related to their demographics, lifestyle, food intake, and mental health. Meanwhile, the variation based on SEM with partial least squares estimator was equal to 70.2%, and SEM with a maximum likelihood estimator was equal to 76.8%. On the other hand, the output of the root mean square error (RMSE), mean absolute error (MSE) and mean absolute percentage error (MPE) for the Bayesian estimator is lower than the maximum likelihood and partial least square estimators. Thus, the predicted values of the SEM with Bayesian estimator are closer to the observed value compared to maximum likelihood and partial least square. In conclusion, the higher values of R-square and lower values of MPE, RMSE, and MSE will produce better goodness of fit for SEM with Bayesian estimators.

Analysis of Obesity among Malaysian University Students: A Combination Study with the Application of Bayesian Structural Equation Modelling and Pearson Correlation

In obesity modelling studies, researchers have been seeking to identify the effective indicators of obesity by using appropriate statistical or mathematical techniques. The main objective of the present study is addressed in three stages. First, a new framework for modelling obesity in university students is introduced. The second stage involves data analysis based on Bayesian Structural Equation Modelling (BSEM) for estimating the Body Mass Index (BMI) (representative of the obesity level) of students at three university levels: Bachelor, Master and PhD. In the third stage, the highest significant correlation is determined between the BMI and other variables in the research model that were found significant through the second phase. The data for this study were collected from students at selected Malaysian universities. The results indicate that unhealthy food intake (fast food and soft drinks), social media use and stress exhibit the highest weightage contributing to overweight and obesity issues for Malaysian university students.

[Parental obesity is associated with the severity of childhood obesity and its comorbidities]

INTRODUCTION

The influence of parental obesity on their obese offsprings is acknowledged but insufficiently characterised.

PATIENTS AND METHODS

Retrospective study of 800 obese patients (45.2% girls; age: 10.35±3.40 years, body mass index [BMI]:+4.22±1.68 standard deviation score [SDS]). Group comparison according to the presence of obesity in none (n=347) or any of the parents (n=453), and then whether the obese parent was the father (n=185), the mother (n=151), or both parents (n=117) were performed. The parameters analysed were: Age at the onset of the obesity and at their first visit, birth weight (BW), BMI-SDS, blood glucose, insulin level, homeostatic model assessment (HOMA) index, total cholesterol (TC), HDL, LDL, triglycerides, 25-OH-vitamin-D, area under the curve (AUC) for insulin in the oral glucose tolerance test (OGTT), whole body insulin sensitivity index (WBISI), LDL/HDL and TC/HDL ratios, and weight loss after 12 month follow-up.

RESULTS

No differences were observed between groups as regarding gender, ethnic background, or pubertal stage. Patients with one obese parent showed higher BW-SDS and BMI-SDS (P<.01), more severe impairment of carbohydrate metabolism (blood insulin, insulin-AUC, HOMA, HbA1c [P<.01] and lower WBISI [P<.05]) than those with no obese parent. Among those patients with a single obese parent, higher BW-SDS, insulin, HOMA, and lower 25-OH-vitamin D (P<.05) was observed when obesity was present in the mother. There was a higher prevalence of metabolic syndrome when both parents were obese (χ²=5.96, P<.05). A total of 132 patients reduced their BMI by ≥1.5SDS, or their weight by ≥10%, with no influence of the background of parental obesity.

CONCLUSIONS

Obesity in any parent determines a higher severity of their offspring obesity and metabolic comorbidities, more importantly when obesity is present in the mother or in both parents, but without interference in the options of therapeutic success.