The Impact of Childhood Obesity on Health and Health Service Use

Investigating the Relationship Between Hypertension and Obesity in Schoolchildren From Lower-Middle Socioeconomic Strata in Urban Mumbai

Background In light of escalating rates of childhood obesity, understanding the gender-specific correlation between body mass index (BMI) and hypertension has become crucial for effective public health interventions. This study investigates the interplay between BMI and hypertension among school-aged children, with a particular emphasis on gender stratification to identify distinct trends. Methodology A cross-sectional study was conducted with a diverse sample of 702 schoolchildren aged 5-16 years from a lower-middle-income school in urban Mumbai. This cohort consisted of 491 boys and 211 girls within the gender subset. BMI was calculated using height and weight measurements, while blood pressure readings determined hypertension prevalence. The children were categorized based on the Indian Academy of Pediatrics (IAP) growth chart BMI calculations and blood pressure percentiles. SPSS Statistics version 23 (IBM Corp., Armonk, NY, USA) was used for data analysis. Data were analyzed using the chi-square test, with p-values <0.05 deemed significant. Results The overall prevalence of overweight was 16.52%, with 15.89% in boys and 18.10% in girls, revealing no significant gender difference (p = 0.487). In terms of obesity, the overall prevalence was 10.83%, with 10.99% in boys and 10.34% in girls, revealing no significant gender difference (p = 0.823). The prevalence of pre-hypertension was 7%, exhibiting a significantly higher prevalence in high BMI males (overweight and obese) versus non-high BMI males (normal and underweight) (p < 0.001); however, no such difference was observed in females (p = 0.289). The prevalence of hypertension was 15.95% with a significantly higher prevalence in high BMI males (overweight and obese) versus non-high BMI males (normal and underweight) (p < 0.001) and high BMI females (overweight and obese) versus non-high BMI females (normal and underweight) (p < 0.001). Hypertension was significantly higher in children with high BMI (overweight and obese) compared to their non-high BMI (normal and underweight) counterparts. Conclusions In lower-middle socioeconomic strata schoolchildren in urban Mumbai, the prevalence of obesity and hypertension was alarmingly high, attributed to shifting lifestyles and unhealthy dietary habits. Hypertension rates were notably elevated among overweight and obese individuals compared to normal and underweight individuals. More than a third of both boys and girls with obesity were diagnosed with hypertension, emphasizing a concerning surge in hypertension cases among children. Prioritizing age-specific blood pressure assessments can facilitate early identification and timely interventions.

Childhood Obesity and Health Care Utilization: Empirical Evidence from Austrian Administrative Data

Background: Increases in pediatric obesity have been associated with higher levels of health care utilization. There is currently a lack of knowledge on the therapeutic drivers of increased health care use. Objective: To examine the association between different measures of health care utilization and BMI among children. Methods: We linked cross-sectional administrative data from a regional health insurance fund in Austria with objectively measured BMI from routine school health examinations in 6-15-year-old children (n = 13,493). Differences in probabilities of annual health care utilization (drug prescriptions by therapeutic classification, physician visits by medical specialty, and hospitalizations) were compared between children with normal weight, overweight, or obesity using Probit regressions. Results: Children with obesity had a 1.6 and 8.6 percentage points (pp) higher probability of outpatient doctor visits and prescribed medication, respectively (all p < 0.05). Children with overweight were intermediate. There was a higher probability of consulting a general practitioner, pediatrician, or orthopedist, and higher levels of prescribing for children with obesity across most common drug groups. Children with obesity were ∼40% more likely to receive medication for musculoskeletal and for mental health problems. This was reflected in orthopedic clinic appointments but not in psychology clinics. There were no major differences by gender or age, or parental socioeconomic status. Conclusions: Our data show clear and objective evidence of higher health care utilization by children with obesity. This highlights the importance of policy interventions to curb obesity in children and young people.

Determination of Multiple Cancer Risk Behaviors Among Adult Population in Turkey: A Cross-sectional Study

Background: Modifiable cancer risk behaviors are general not seen alone but in combination in individuals. Purpose: This study aims to investigate the factors associated with combinations of cancer risk behaviors, including tobacco use, obesity, and low physical activity that cause cancer in adults. Methods: A total of 720 adults were selected using the multi-stage cluster sampling method. Data were collected using the World Health Organization STEP-wise protocols. Results: It was found that 46.9% of the participants showed one, 46.3% two or more types of risk behavior. The percentage of married individuals was higher among those who engaged in one, two, or three risky behaviors than those who did not engage in risky behaviors. Among participants with two risk behaviors, the percentage of those who rated their health as very good was lower than those without risk behaviors; those who had friends or relatives with cancer were high. Those who engaged in three risk behaviors were less educated and had lower incomes than those who did not engage in risk behaviors. Conclusions: Health intervention strategies should be increased in primary health care institutions for individuals who are married, has low level of education and income and has weak perception of health.

High Tg/HDL-Cholesterol Ratio Highlights a Higher Risk of Metabolic Syndrome in Children and Adolescents with Severe Obesity

Few data are currently available on the reliability of the different anthropometric, instrumental and biochemical indexes in recognizing the presence of metabolic syndrome (MetS) in children and adolescents with severe obesity. Therefore, the objective of our study was to find out the simplest and most accurate predictive index of MetS in this population at-risk. In 1065 children and adolescents (563 f, 502 m), aged 14.6 ± 2.1 years (range 10–17), with severe obesity [BMI-SDS 3.50 ± 0.36 (range 3.00–5.17)], the following indexes were evaluated: BMI, BMI-SDS, Tri-Ponderal Mass Index, Waist-to-Height ratio, TG/HDL-Cholesterol ratio, Cardiometabolic Index (CMI), and Visceral Adiposity Index (VAI). For each subject, all the components of MetS, defined according to the IDF criteria, were determined. Overall, the presence of MetS was found in 324 patients (30.4%), 167 males (33.3%) and 157 females (27.9%). According to the ROC analysis, three indexes (VAI, CMI and TG/HDL-Cholesterol ratio), performed significantly better than the other ones in identifying MetS, with no difference among them. In conclusion, the TG/HDL ratio, which just needs the evaluation of two simple biochemical parameters, offers the same accuracy as other more sophisticated indexes in recognizing MetS in children and adolescents with severe obesity, thus making it the best predictor to be easily used.

Medicaid Expenditures among Children with Documented Obesity

Background: Obesity rates continue to rise among children, but knowledge regarding medical expenditures of Medicaid enrollees with documented obesity is lacking. We aim to describe Medicaid expenditure patterns among children with documented obesity and determine the degree to which specific clinical characteristics and conditions contribute to high expenditures. Methods: We performed a retrospective cross-sectional analysis of children aged 2-17 years with a diagnosis code of obesity continuously enrolled in the 2017 Medicaid MarketScan database. Children were grouped based on annual expenditure percentiles: <80th, 80 to <95th, 95 to <99th, and ≥99th. Inpatient, outpatient, and pharmacy expenditures were analyzed. Covariates included demographics, common obesity comorbid conditions (e.g., hypertension), complex chronic conditions (CCCs), and mental health conditions (MHCs). Logistic regression assessed demographic and clinical characteristics associated with high-spending groups (≥95th%). Results: We identified 300,286 children with a diagnosis of obesity. The 1% of children with the highest spending accounted for 25.4% of annual expenditures among children with documented obesity. Annual expenditures in the highest spending groups were driven primarily by inpatient and outpatient mental health services. Characteristics associated with high-spending groups included the following: age 12-17 years, obesity comorbid conditions, and having ≥1 CCC or MHC. These associations increased with increasing number of CCCs or MHCs. Conclusions: Inpatient and outpatient mental health expenditures made up a large proportion of spending among Medicaid-enrolled children with documented obesity. Important drivers of cost in this population were medical complexity and comorbid MHCs. Future research is needed to determine if some of these costs are avoidable in children with obesity.

Body mass index and healthcare costs: using genetic variants from the HUNT study as instrumental variables

Background

Past studies have found associations between obesity and healthcare costs, however, these studies have suffered from bias due to omitted variables, reverse causality, and measurement error.

Methods

We used genetic variants related to body mass index (BMI) as instruments for BMI; thereby exploiting the natural randomization of genetic variants that occurs at conception. We used data on measured height and weight, genetic information, and sociodemographic factors from the Nord-Trøndelag Health Studies (HUNT), and individual-level registry data on healthcare costs, educational level, registration status, and biological relatives. We studied associations between BMI and general practitioner (GP)-, specialist-, and total healthcare costs in the Norwegian setting using instrumental variable (IV) regressions, and compared our findings with effect estimates from ordinary least squares (OLS) regressions. The sensitivity of our findings to underlying IV-assumptions was explored using two-sample Mendelian randomization methods, non-linear analyses, sex-, healthcare provider-, and age-specific analyses, within-family analyses, and outlier removal. We also conducted power calculations to assess the likelihood of detecting an effect given our sample 60,786 individuals.

Results

We found that increased BMI resulted in significantly higher GP costs; however, the IV-based effect estimate was smaller than the OLS-based estimate. We found no evidence of an association between BMI and specialist or total healthcare costs.

Conclusions

Elevated BMI leads to higher GP costs, and more studies are needed to understand the causal mechanisms between BMI and specialist costs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07597-z.

Resistance training mitigates hepato-cardiac changes and muscle mitochondrial protein reductions in rats with diet-induced obesity

Aim

To investigate the effect of resistance training (RT) on hepatocardiovascular and muscle mitochondrial parameters in rats that were fed a high-calorie diet for 12 weeks.

Main methods

The animals were divided into four groups: control (C), exercise (E), obese (O), and obese plus exercise (OE). Group E and OE rats performed resistance training by climbing on a vertical ladder with load attached to the end of the tail (1×/day, 3×/week, for 12 weeks). Group O and OE rats were fed a high-calorie diet containing chow and a cafeteria diet for 12 weeks. Under anesthesia, the heart and liver were removed for histopathological analysis, and the gastrocnemius muscle was removed for Western blotting.

Key findings

Group O rats were heavier, with increased fat mass, elevated fasting glycemia, and total triglycerides, and exhibited a significant number of Kupffer cells and diffuse steatosis in the liver. Group O rats also showed increased thickness of the right ventricle, septum, and pulmonary artery. All of these parameters were attenuated by RT. PGC1-α protein levels were increased in both exercise groups. The protein levels of OXPHOS complexes III, IV, and V were reduced in Group O, while RT prevented this alteration.

Significance

RT exerts a protective effect against hepato-cardiac alterations and prevents changes in the muscle mitochondrial protein profile induced by a high-calorie diet.

The medical care costs of obesity and severe obesity in youth: An instrumental variables approach

This paper is the first to use the method of instrumental variables to estimate the impact of obesity and severe obesity in youth. on U.S. medical care costs. We examine data from the Medical Expenditure Panel Survey for 2001-2015 and instrument for child BMI using the BMI of the child's biological mother. Instrumental variables estimates indicate that obesity in youth raises annual medical care costs by $907 (in 2015 dollars) or 92%, which is considerably higher than previous estimates of the association of youth obesity with medical costs. We find that obesity in youth significantly raises costs in all major categories of medical care: outpatient doctor visits, inpatient hospital stays, and prescription drugs. The costs of youth obesity are borne almost entirely by third-party payers, which is consistent with substantial externalities of youth obesity, which in turn represents an economic rationale for government intervention.

Application of Mendelian Randomization to Investigate the Association of Body Mass Index with Health Care Costs

Causal effect estimates for the association of obesity with health care costs can be biased by reversed causation and omitted variables. In this study, we use genetic variants as instrumental variables to overcome these limitations, a method that is often called Mendelian randomization (MR). We describe the assumptions, available methods, and potential pitfalls of using genetic information and how to address them. We estimate the effect of body mass index (BMI) on total health care costs using data from a German observational study and from published large-scale data. In a meta-analysis of several MR approaches, we find that models using genetic instruments identify additional annual costs of €280 for a 1-unit increase in BMI. This is more than 3 times higher than estimates from linear regression without instrumental variables (€75). We found little evidence of a nonlinear relationship between BMI and health care costs. Our results suggest that the use of genetic instruments can be a powerful tool for estimating causal effects in health economic evaluation that might be superior to other types of instruments where there is a strong association with a modifiable risk factor.

Mendelian Randomization analysis of the causal effect of adiposity on hospital costs

Estimates of the marginal effect of measures of adiposity such as body mass index (BMI) on healthcare costs are important for the formulation and evaluation of policies targeting adverse weight profiles. Most estimates of this association are affected by endogeneity bias. We use a novel identification strategy exploiting Mendelian Randomization - random germline genetic variation modelled using instrumental variables - to identify the causal effect of BMI on inpatient hospital costs. Using data on over 300,000 individuals, the effect size per person per marginal unit of BMI per year varied according to specification, including £21.22 (95% confidence interval (CI): £14.35-£28.07) for conventional inverse variance weighted models to £18.85 (95% CI: £9.05-£28.65) for penalized weighted median models. Effect sizes from Mendelian Randomization models were larger in most cases than non-instrumental variable multivariable adjusted estimates (£13.47, 95% CI: £12.51-£14.43). There was little evidence of non-linearity. Within-family estimates, intended to address dynastic biases, were imprecise.

Long-term effects of adolescent obesity: time to act

Obesity in adolescence will probably have major implications not only for the affected adolescents but also for society. Those who have obesity during adolescence usually have obesity into adulthood, which causes many medical and psychological issues that can result in premature death. Furthermore, obesity in adolescents is associated with a range of social problems, including difficulties securing an apprenticeship or a job or finding a partner. Adolescents with obesity are also at increased risk of having children with obesity later in life. All these consequences lead to high costs for the health-care system. Although efficient treatment options are available that have been proven in randomized controlled trials, such as lifestyle interventions for adolescents with obesity and bariatric surgery for adolescents with severe obesity, these interventions frequently fail in clinical practice as treatment adherence is low in adolescents and most adolescents with obesity do not seek medical care. Therefore, improving treatment adherence and identifying treatment barriers are necessary.