Development of BMI values of German children and their healthcare costs

In utero exposure to perfluoroalkyl substances and early childhood BMI trajectories: A mediation analysis with neonatal metabolic profiles

BACKGROUND

In utero perfluoroalkyl substances (PFAS) exposure has been associated with childhood adiposity, but the mechanisms are poorly known.

OBJECTIVE

To investigate the potential mediating role of neonatal metabolites in the relationship between prenatal PFAS exposure and childhood adiposity trajectories in the first four years of life.

METHODS

We analyzed the data for 1671 mother-child pairs from the Shanghai Birth Cohort study. We included those with PFAS exposure information in early pregnancy, neonatal metabolites data and at least three child anthropometric measurements at 6, 12, 24 and/or 48 months. Body mass index (BMI) z-score trajectories were identified using latent class growth mixture modeling. The associations between PFAS concentrations and trajectory classes were assessed using multinomial logistic regression. Screening and penalization-based selection was used to identify neonatal amino acids and acylcarnitines with significant mediation effects.

RESULTS

Three BMI z-score trajectories in early childhood were identified: a persistent increase trajectory (Class 1, 2.2 %), a stable trajectory (Class 2, 66 %), and a transient increase trajectory (Class 3, 32 %). Increased odds of being in Class 1 were observed in association with one log-unit increase in concentrations of perfluorooctane sulfonate (odds ratio [OR], 1.76 [95 % CI, 0.96-3.23], Class 2 as reference; OR, 2.36 [95 % CI, 1.27-4.40], Class 3 as reference), perfluorononanoic acid (OR, 1.90 [95 % CI, 0.97-3.72], Class 2 as reference; OR, 2.23 [95 % CI, 1.12-4.42], Class 3 as reference) and perfluorodecanoic acid (OR, 1.95 [95 % CI, 1.12-3.38], Class 2 as reference; OR, 2.14 [95 % CI, 1.22-3.76], Class 3 as reference). The effect of prenatal PFAS exposure on being in Class 1 was significantly but partly mediated by octanoylcarnitine (2.64 % for perfluorononanoic acid and 3.70 % for sum of 10 PFAS).

CONCLUSIONS

In utero PFAS exposure is a risk factor for persistent growth in BMI z-score in early childhood. The alteration of neonatal acylcarnitines suggests a potential molecular pathway.

Early childhood growth trajectories in a Medicaid population

BACKGROUND

Evidence on the role of early growth trajectories and later obesity risk is primarily based on privately insured or universally insured samples.

OBJECTIVES

We aimed to characterize and determine factors associated with early growth trajectories and estimate associations with overweight/obesity risk in a Medicaid-insured and uninsured cohort.

METHODS

Infants seen at a large pediatric academic centre in 2010-2016 were included. Weight and length/height measurements were converted to age and sex-specific BMI z-scores (BMIz) based on the World Health Organization (WHO) Growth Standards. Group-based trajectories were modelled using BMIz created groups. Logistic and log-binomial regression models estimated associations between membership in trajectories and maternal/child factors and overweight or obesity at 36, 48, and 60 months, separately. Analyses were performed between 2019 and 2021.

RESULTS

The best-fitting model identified five BMIz trajectories among 30 189 children and 310 113 clinical encounters; two trajectories showed rapid rise in BMIz. Lower maternal education, pre-pregnancy maternal overweight/obese status, and maternal smoking were positively associated with both rapid-rising BMIz trajectories. Children in either of the two rapid-rising trajectories were 3.00 (95% CI: 2.85, 3.25), 2.97 (95% CI: 2.77, 3.18) and 2.76 (95% CI: 2.53, 3.01) times more likely to have overweight or obesity at 36, 48, and 60 months, respectively compared to children in the stable trajectory groups.

CONCLUSIONS

Among Medicaid insured and uninsured children, several maternal and child characteristics were associated with early rapid-rise in BMIz. Clinical monitoring of early rapidly rising BMI may be important to address modifiable risk factors for obesity in families from low-income households.

Demand for health services and drug prescriptions among overweight or obese preschool children

OBJECTIVES

To evaluate the association between excess weight and the demand of health services in preschool children compared with healthy weight.

METHODS

The data come from the Longitudinal Study of Childhood Obesity cohort (1884 4-year-old children, residing in the Madrid region, Spain) who provided information through telephone questionnaire, physical examination and electronic medical records. We defined overweight, general and abdominal obesity based on body mass index, waist circumference and waist-to-height ratio. Using mixed models of multivariable negative binomial regression we calculated the incidence rate ratio (IRR) regarding primary care (PC) doctor visits, drug prescriptions and hospital admissions by weight status at the end of the 2-year follow-up.

RESULTS

Childhood general obesity was associated with a higher demand for PC services related to psychological problems (IRR=1.53; 95% CI 1.02 to 2.28) and childhood abdominal obesity, according to waist-to-height ratio, was related to more frequent problems of the musculoskeletal system (IRR=1.27; 95% CI 1.00 to 1.62). Drugs were prescribed more frequently to children falling under all three definitions of excess weight, compared with healthy weight children. No differences in the number of hospital admissions were observed.

CONCLUSIONS

The demand of health services related to early childhood obesity was small. Nevertheless, obesity was associated with a slightly greater demand for drug prescriptions and for PC doctor visits related to psychological and musculoskeletal problems.

Group-based trajectory modelling for BMI trajectories in childhood: A systematic review

Childhood obesity is an important public health issue. We aimed to systematically review studies that used group-based trajectory modelling approaches to investigate body mass index (BMI) trajectories in early childhood, explore associated determinants, and the association with body composition outcomes. Five databases were searched systematically for studies using group-based trajectory modelling approaches to track BMI trajectories from birth. Fourteen studies using latent class growth analysis or growth mixture modelling to track BMI trajectories were identified. Three or four trajectories were identified in most studies. High maternal pre-pregnancy BMI was the most frequently identified risk factor for membership of a rapid gain trajectory. Significant associations between rapid weight gain and stable high trajectories and body measures at follow-up were identified by several studies. Relatively similar trajectories were identified across studies. Trajectories characterized by rapid weight gain were associated with several predictors, as well as body measures at follow-up, however not with great consistency. Similar associations with body measure outcomes were found for stable high and rapid gain trajectories, suggesting that long-term outcomes do not differ greatly between children with consistently high BMI and children with rapid increases in BMI. As the shape and timing of the trajectories differed between studies, it is difficult to draw conclusions.

The health care costs of childhood obesity in Australia: An instrumental variables approach

The effect of childhood obesity on medical costs incurred by the Australian Government is estimated using five waves of panel data from the Longitudinal Study of Australian Children, which is linked to public health insurance administrative records from Medicare Australia. Instrumental variables estimators are used to address concerns about measurement error and selection bias. The additional annual medical costs due to overweight and obesity among 6 to 13 year olds is about $43 million (in 2015 AUD). This is driven by a higher utilisation of general practitioner and specialist doctors. The results suggest that the economic consequences of childhood obesity are much larger than previously estimated.

Healthcare utilisation and expenditure of overweight and non-overweight children

BACKGROUND

Quantification of the burden of overweight on the healthcare system is becoming increasingly urgent for health policy, but accurate estimates are hard to obtain.

METHODS

In order to assess healthcare utilisation and expenditure of overweight and non-overweight children, we linked, on an individual basis, data on body mass index from a birth cohort study with administrative health insurance claims data. In children aged 14-15 years, we compared utilisation and expenditure on general practice care, dental care, hospital/specialist care, prescribed medication, allied healthcare and mental healthcare of overweight children (overweight at age 11 and 14, n=80) and non-overweight children (no overweight at age 11 and 14, n=1253).

RESULTS

For overweight children, mean 1-year healthcare expenditure was €837 per child and for non-overweight children €616. This difference was mainly due to significant differences in utilisation of hospital care (49% vs 37%) and mental healthcare (14% vs 7%) and to a lesser extent to higher expenditure per user.

CONCLUSION

Our results indicate the potential value of linking survey data to claims data in order to obtain insight into the healthcare costs of childhood overweight. Further studies should elucidate whether the observed differences are causally related to overweight.

The impact of childhood overweight and obesity on healthcare utilisation

Rising levels of childhood overweight and obesity represent a major global public health challenge. A number of studies have explored the association between childhood overweight and obesity and healthcare utilisation and costs. This paper adds to the literature by estimating the causal effect of child overweight and obesity status on use of general practitioner (GP) and hospital inpatient stays at two time points using instrumental variable (IV) methods The paper uses data from two waves of the Growing Up in Ireland survey of children when they are 9 and 13 years respectively and uses the biological mother's body mass index (BMI) as an instrument for the child's BMI. Our results demonstrate that child overweight and obesity status do not have a significant effect on healthcare utilisation for children when they are 9 years, but do have a large and significant effect at 13 years. Across all our models, the effects on both GP and hospital inpatient stays are found to be larger when endogeneity in childhood BMI status is addressed. Previous studies that did not address endogeneity concerns are likely to have significantly underestimated the impact of child overweight and obesity status on healthcare utilisation.

Analysis of Health Care Costs in Elderly Patients with Multiple Chronic Conditions Using a Finite Mixture of Generalized Linear Models

In this paper we analysed healthcare costs in a sample of elderly patients suffering from multimorbidity. On the one hand, multimorbid individuals consume a disproportionally large share of healthcare resources. On the other hand, the patient specific number and combination of co-occurring single diseases result in inhomogeneous data leading to biased estimates when using traditional regression techniques. Therefore, we applied a mixture of regressions in order to control for unobserved heterogeneity focussing on the identification of multimorbidity patterns. We used a subsample of N = 1050 patients from a multicentre prospective cohort study of randomly selected multimorbid primary care patients aged 65 to 85 years in Germany (ISRCTN 89818205) who completed a detailed questionnaire on healthcare utilization during the 6-month period preceding the interview. Disease combinations of 1047 were included. We detected four different groups of patients with regard to total costs. These groups corresponded largely to findings from the epidemiological literature. The effect of the presence of an additional disease on costs differed between groups. Moreover, two diametrically opposed cost trends were detected with respect to the number of co-occurring diseases. While in one group costs increased with the number of co-occurring diseases, in a second group cost tended to decrease. Copyright © 2016 John Wiley & Sons, Ltd.

Economic Evaluation of Intensive Inpatient Treatments for Severely Obese Children and Adolescents

BACKGROUND

Considering the large economic consequences of severe childhood obesity for the society, we aimed to conduct an economic evaluation comparing two intensive 1-year lifestyle treatments with varying inpatient periods for severely obese children and adolescents with regard to standard deviation score BMI (SDS-BMI) and quality-adjusted life years (QALYs).

METHODS

An economic evaluation from a societal perspective accompanying a randomized controlled trial with a 24-month follow-up. 80 participants (8-19 years) with severe obesity were included. Participants received an intensive 1-year lifestyle treatment with an inpatient period of 2 months (short-stay group) or 6 months (long-stay group). Data were collected at baseline, 6, 12 ,and 24 months and included SDS-BMI and QALYs.

RESULTS

SDS-BMI decreased in the first 6 months of treatment, stabilized in the second 6 months, and increased during the 2nd year in both groups. After 24 months, SDS-BMI was similar in both groups, but remained lower than baseline values (mean difference -0.24, 95% CI -0.42; -0.06). There was no difference in QALYs between the groups after 24 months. For SDS-BMI, the probability of the short-stay treatment being cost-effective in comparison with the long-stay treatment was 1 at a willingness-to-pay of 0 EUR/unit of effect, which slowly decreased to 0.54 for larger willingness-to-pay values.

CONCLUSIONS

Based on the results of this study, the short-stay treatment is considered to be more cost-effective from the societal perspective in comparison with the long-stay treatment. Future research should provide insight in whether the short-stay treatment is cost-effective in comparison with usual care.

The costs and consequences of obesity in Germany: a new approach from a prevalence and life-cycle perspective

With the steadily growing health burden of obesity in Germany, the measuring and quantification of its costs and relevant economic consequences have become increasingly important. The usual quantifications via previous cost-of-illness approaches mostly have several weaknesses, e.g., applying "indirect methods" by using "population-attributable fractions" to identify parts of costs that can be accrued to obesity, second using highly aggregated data and third often only displaying part of the costs. This article presents a new approach and a new estimation of the cost and consequences of obesity in Germany using claims data from a German health insurance company. A sample of 146,000 individuals was analyzed with both a prevalence and a life-cycle focus on the cost and consequences of obesity. With additional data sets, we calculate the deaths per year due to obesity, the excess costs per year and several intangible consequences usually referred to as "pain and suffering". Our results show that the cost estimations of obesity in Germany so far have been largely underestimated. The annual direct costs of obesity in Germany amount to approximately €29.39 billion and the indirect costs to an additional €33.65 billion. A total of 102,000 subjects die prematurely each year because of obesity, and there is a significant excess of unemployment, long-term nursing care, and pain and suffering due to obesity. From a lifetime perspective, every obese man is equal to an additional burden of €166,911 and each woman of €206,526 for the social security system in Germany. Obesity due to unhealthy eating is thus about to replace tobacco consumption in terms of costs and consequences as the main hazardous lifestyle factor and thus should be more intensively focussed by public health policy.

Body Mass Index Trajectories and Healthcare Utilization in Young and Middle-aged Adults

The obesity epidemic is a significant public health issue with adverse impact on health and costs. Applying a life-course perspective to obesity may advance our understanding of the influence of obesity over time on patterns of healthcare utilization in young and middle-aged United States (US) adults.We identified baseline body mass index (BMI) and BMI trajectories, and assessed their association with outpatient visits, emergency department (ED) visits, and hospitalizations in a well-defined population of young and middle-aged US adults.Using the Rochester Epidemiology Project resources, we conducted a retrospective cohort study of adults (N = 23,254) aged 18 to 44 years, with at least 3 BMI measurements, residing in Olmsted County, MN from January 1, 2005 through December 31, 2012.We observed that 27.5% of the population was obese. Four BMI trajectories were identified. Compared to under/normal weight, obese class III adults had higher risk of outpatient visits (adjusted rate ratio [RR], 1.86; 95% confidence intervals [CIs], 1.67-2,08), ED visits (adjusted RR, 3.02; 95% CI, 2.74-3.34), and hospitalizations (adjusted RR, 1.67; 95% CI, 1.59-1.75). BMI trajectory was positively associated with ED visits after adjustment for age, sex, race, and Charlson Comorbidity Index (P < 0.001 for trend).Among young and middle-aged US adults, baseline BMI is positively associated with outpatient visits, ED visits, and hospitalizations, while BMI trajectory is positively associated with ED visits. These findings extend our understanding of the longitudinal influence of obesity on healthcare utilization in early to mid-adulthood.

Reappraisal of Regional Growth Charts in the Era of WHO Growth Standards

After the WHO Growth Standards (WHOGS) was published in 2006, many countries in the world endorsed and adopted the new growth references as a standard measure for the growth of infants and young children. Certainly, the WHOGS has an impact on the global policy about obesity and underweight in children. Such WHOGS innovation has influenced many regional health authorities and academies, which have managed their own growth charts for a long time, in changing their strategies to develop and use regional growth charts. In Korea, along with the tradition to create a national growth chart every decade, we now face a new era of advancing with the WHOGS.