Impact of BMI and BMI change on future drug expenditures in adults: results from the MONICA/KORA cohort study

Characterization of an obese population: a retrospective longitudinal study from real-world data in northern Portugal

BACKGROUND

Obesity is a serious and largely preventable global health problem. Obesity-related electronic health records can be a useful resource to identify and address obesity. The analysis of real-world data from T82-coded (International Classification of Primary Care coding, for obesity) primary care individuals can be an excellent national source of data on obesity's prevalence, characteristics, and impact on the National Health Service.

METHODS

Retrospective longitudinal study, based on a database of electronic medical records, from the Regional Health Administration of northern Portugal. The study objectives were to determine the prevalence of obesity and to characterize an adult obese population in northern Portugal from a bio-demographic point of view along with profiles of comorbidities and the use of health resources. This study used a database of 266,872 patients in December 2019 and screened for diagnostic code T82 from the International Classification of Primary Care.

RESULTS

The prevalence of obesity was 10.2% and the highest prevalence of obesity was in the 65-74 age group (16.1%). The most prevalent morbidities in patients with obesity as coded through ICPC-2 were K86 (uncomplicated hypertension), T90 (non-insulin-dependent diabetes), and K87 (complicated hypertension). Descriptive information showed that T82 subjects used more consultations, medications, and diagnostic tests than non-T82 subjects.

CONCLUSIONS

Routine recording of weight and height deserves special attention to allow obesity recognition at an early stage and move on to the appropriate intervention. Future work is necessary to automate the codification of obesity for subjects under 18 years of age, to raise awareness and anticipate the prevention of problems associated with obesity. Practical strategies need to be implemented, such as the creation of a specific program consultation with truly targeted approaches to obesity.

Distribution and Associated Factors of Hepatic Iron-A Population-Based Imaging Study

Hepatic iron overload can cause severe organ damage; therefore, an early diagnosis and the identification of potential risk factors is crucial. We aimed to investigate the sex-specific distribution of hepatic iron content (HIC) in a population-based cohort and identify relevant associated factors from a panel of markers. We analyzed N = 353 participants from a cross-sectional sample (KORA FF4) who underwent whole-body magnetic resonance imaging. HIC was assessed by single-voxel spectroscopy with a high-speed T2-corrected multi-echo technique. A large panel of markers, including anthropometric, genetic, and laboratory values, as well as behavioral risk factors were assessed. Relevant factors associated with HIC were identified by variable selection based on LASSO regression with bootstrap resampling. HIC in the study sample (mean age at examination: 56.0 years, 58.4% men) was significantly lower in women (mean ± SD: 39.2 ± 4.1 s^-1) than in men (41.8 ± 4.7 s^-1, p < 0.001). Relevant factors associated with HIC were HbA1c as well as prediabetes for men and visceral adipose tissue as well as age for women. Hepatic fat, alcohol consumption, and genetic risk score for iron levels were associated with HIC in both sexes. In conclusion, there are sex-specific associations of HIC with markers of body composition, glucose metabolism, and alcohol consumption.

Medication use and obesity in Brazil: results from the National Health Survey

Noncommunicable diseases (NCDs) associated with obesity generally require drug treatment. The use of medications in individuals with obesity has not been extensively investigated. The objective of this study was to analyze the relation between obesity and medication use. Data from the Brazilian National Health Survey 2013 was used, including 59,402 individuals. Weight and height measures were used to calculate body mass index (BMI) and categorized individuals according to BMI classification (exposure). The number of medications used for treating nine obesity-related NCDs was the outcome variable. Multinomial regression analyses were performed. The risk of use of medications to treat at least one NCD increased progressively with rising BMI, where this risk was even higher for treating two or more diseases. The risk of having to treat two or more NCDs with medications was approximately 70% greater among individuals with overweight (adjusted RR = 1.66; 95%CI 1.46–1.89), 170% greater in those with class I obesity (adjusted RR = 2.68; 95%CI 2.29–3.12), 340% greater for class II obesity (adjusted RR = 4.44; 95%CI 3.54–5.56) and 450% greater among individuals with class III obesity (adjusted RR = 5.53; 95%CI 3.81–8.02), compared with normal-weight subjects. Obesity was directly associated with drug utilization and the number of medications used to treat obesity-related NCDs.

Impact of overweight or obesity trajectory on health expenditure in Korea

BACKGROUND

This study aimed to identify the effect of the overweight or obesity (OWOB) trajectory on current health care expenditure in South Korea.

METHODS

Ten years of publicly released data (2002-12) were obtained in 2016 from a retrospective cohort of National Health Insurance System claims. This study included 51,844 adults (aged 30-59 years in 2002) and 21,196 elderly adults (aged ≥ 60 years in 2002).

RESULTS

Compared with adults who maintained normal weight (NW), higher yearly total health expenditures were estimated for adults who lost weight over the 10-year period: by 11.5% (95% confidence interval (CI): 0.18-22.96%) when changing from NW to underweight (UW) and 6.2% (95% CI: 0.47-12.01%) from OWOB to UW/NW. Elderly adults had higher health expenditures when they lost weight by 14.0% (95% CI: 0.37-27.70%) from NW to UW and 6.8% (95% CI: 0.13-13.51%) from OWOB to UW/NW compared with when they maintained NW.

CONCLUSIONS

These findings indicate the importance of early intervention to control OWOB, particularly because people in late adulthood have greater health care needs for reasons other than OWOB.

Body Mass Index in Multiple Sclerosis modulates ceramide-induced DNA methylation and disease course

BACKGROUND

Multiple Sclerosis (MS) results from genetic predisposition and environmental variables, including elevated Body Mass Index (BMI) in early life. This study addresses the effect of BMI on the epigenome of monocytes and disease course in MS.

METHODS

Fifty-four therapy-naive Relapsing Remitting (RR) MS patients with high and normal BMI received clinical and MRI evaluation. Blood samples were immunophenotyped, and processed for unbiased plasma lipidomic profiling and genome-wide DNA methylation analysis of circulating monocytes. The main findings at baseline were validated in an independent cohort of 91 therapy-naïve RRMS patients. Disease course was evaluated by a two-year longitudinal follow up and mechanistic hypotheses tested in human cell cultures and in animal models of MS.

FINDINGS

Higher monocytic counts and plasma ceramides, and hypermethylation of genes involved in negative regulation of cell proliferation were detected in the high BMI group of MS patients compared to normal BMI. Ceramide treatment of monocytic cell cultures increased proliferation in a dose-dependent manner and was prevented by DNA methylation inhibitors. The high BMI group of MS patients showed a negative correlation between monocytic counts and brain volume. Those subjects at a two-year follow-up showed increased T1 lesion load, increased disease activity, and worsened clinical disability. Lastly, the relationship between body weight, monocytic infiltration, DNA methylation and disease course was validated in mouse models of MS.

INTERPRETATION

High BMI negatively impacts disease course in Multiple Sclerosis by modulating monocyte cell number through ceramide-induced DNA methylation of anti-proliferative genes. FUND: This work was supported by funds from the Friedman Brain Institute, NIH, and Multiple Sclerosis Society.

Prices of over-the-counter drugs used by 15-year-old adolescents in Germany and their association with socioeconomic background

Background

In Germany, over-the-counter (OTC) drugs are normally reimbursed up to the age of 12 years only. The aim of this study was to analyse prices of over-the-counter drugs used by adolescents in Germany and their association with socioeconomic factors.

Methods

Based on the German GINIplus and LISAplus birth cohorts, data on drug utilization among 15-year-old adolescents (n = 4677) were collected using a self-administered questionnaire. The reported drugs were subdivided into prescription drugs and OTC drugs. The drugs’ prices were tracked by the pharmaceutical identification numbers.

Results

Overall, 1499 OTC drugs with clearly identifiable prices were eligible for analysis. Their mean price was €9.75 (95% confidence interval: €9.27–10.22). About 75% of the OTC drugs cost less than €10. Higher mean prices were associated with residing in Munich (€10.74; 95% confidence interval: €9.97–11.52) and with higher paternal education (e.g. highest education level: €10.17; 95% confidence interval: €9.47–10.86). Adolescents residing in Munich (in comparison with the less wealthy region of Wesel) and adolescents with higher educated fathers were also significantly more likely to use OTC drugs costing ≥ €10 or ≥ €25, respectively.

Conclusions

The price of €10 for non-reimbursable OTC drugs may represent a (psychological) threshold. Higher prices could discourage especially adolescents from a lower socioeconomic background from taking medically advisable but non-reimbursable OTC drugs.

Body mass index and healthcare costs: a systematic literature review of individual participant data studies

Excess weight is associated with increased total healthcare costs, but it is less well known how the associations between excess weight and costs vary across different types of healthcare service. We reviewed studies using individual participant data to estimate associations between body mass index and healthcare costs, and summarized how annual healthcare costs for overweight (body mass index 25 to <30 kg/m2 ) and obese (≥30 kg/m2 ) individuals compared with those for healthy weight individuals (18.5 to <25 kg/m2 ). EMBASE and MEDLINE were searched from January 1990 to September 2016, and 75 studies were included in the review. Of these, 34 studies presented adequate information to contribute to a quantitative summary of results. Compared with individuals at healthy weight, the median increases in mean total annual healthcare costs were 12% for overweight and 36% for obese individuals. The percentage increases in costs were highest for medications (18% for overweight and 68% for obese), followed by inpatient care (12% and 34%) and ambulatory care (4% and 26%). Percentage increases in costs associated with obesity were higher for women than men. The substantial costs associated with excess weight in different healthcare settings emphasize the need for investment to tackle this major public health problem.

The prevalence of obesity documentation in Primary Care Electronic Medical Records. Are we acknowledging the problem?

BACKGROUND

Although obesity is a growing problem, primary care physicians often inadequately address it. The objective of this study is to examine the prevalence of obesity documentation in the patient's problem list for patients with eligible body mass indexes (BMI) as contained in the patients' electronic medical record (EMR). Additionally, we examined the prevalence of selected chronic conditions across BMI levels.

METHOD

This study is a retrospective study using EMR data for adult patients visiting an outpatient clinic between June 2012 and June 2015. International Classification of Diseases, Ninth Revision, (ICD-9) codes were used to identify obesity documentation in the EMR problem list. Univariate and multivariate logistic regression analyses were used.

RESULTS

Out of 10,540, a total of 3,868 patients were included in the study. 2,003 (52%) patients met the criteria for obesity (BMI ≥ 30.0); however, only 112 (5.6%) patient records included obesity in the problem list. Moreover, in a multivariate analysis, in addition to age and gender, morbid obesity and cumulative number of comorbidities were significantly associated with obesity documentation, OR=1.6 and OR=1.3, respectively, with 95% CI [1.4, 1.9] and [1.0, 1.7], respectively. For those with obesity documentation, exercise counseling was provided more often than diet counselling.

CONCLUSION

Based on EHR documentation, obesity is under coded and generally not identified as a significant problem in primary care. Physicians are more likely to document obesity in the patient record for those with higher BMI scores who are morbidly obese. Moreover, physicians more frequently provide exercise than diet counseling for the documented obese.

Cost burden of type 2 diabetes in Germany: results from the population-based KORA studies

OBJECTIVE

To examine the impact of type 2 diabetes on direct and indirect costs and to describe the effect of relevant diabetes-related factors, such as type of treatment or glycaemic control on direct costs.

DESIGN

Bottom-up excess cost analysis from a societal perspective based on population-based survey data.

PARTICIPANTS

9160 observations from 6803 individuals aged 31-96 years (9.6% with type 2 diabetes) from the population-based KORA (Cooperative Health Research in the Region of Augsburg) studies in Southern Germany.

OUTCOME MEASURES

Healthcare usage, productivity losses, and resulting direct and indirect costs.

METHODS

Information on diabetes status, biomedical/sociodemographic variables, medical history and on healthcare usage and productivity losses was assessed in standardised interviews and examinations. Healthcare usage and productivity losses were costed with reference to unit prices and excess costs of type 2 diabetes were calculated using generalised linear models.

RESULTS

Individuals with type 2 diabetes had 1.81 (95% CI 1.56 to 2.11) times higher direct (€3352 vs €1849) and 2.07 (1.51 to 2.84) times higher indirect (€4103 vs €1981) annual costs than those without diabetes. Cardiovascular complications, a long diabetes duration and treatment with insulin were significantly associated with increased direct costs; however, glycaemic control was only weakly insignificantly associated with costs.

CONCLUSIONS

This study illustrates the substantial direct and indirect societal cost burden of type 2 diabetes in Germany. Strong effort is needed to optimise care to avoid progression of the disease and costly complications.

Übergewicht und Adipositas als Public Health-Problem

In Deutschland ist mehr als die Hälfte der Erwachsenen übergewichtig, fast ein Viertel ist adipös. Als Risikofaktor für viele Erkrankungen geht Übergewicht mit einer hohen individuellen Krankheitslast und, infolge dessen, erhöhten Versorgungskosten und Produktivitätsverlusten einher. Aufgrund der hohen Krankheitslast und weiten Verbreitung gehört Übergewicht zu den relevantesten Risikofaktoren in Deutschland. Der Beitrag konzentriert sich auf die gesundheitsökonomischen Folgen des Übergewichtes.

The Economic Burden of Obesity in Germany: Results from the Population-Based KORA Studies

OBJECTIVE

To estimate the excess costs of obese compared to normal-weight persons in Germany based on self-reported resource utilisation and work absence.

METHODS

Five cross sectional surveys of cohort studies in southern Germany were pooled resulting in 9,070 observations for 6,731 individuals (31-96 years). BMI was measured in the study centre. Self-reported health care utilisation and work absence was used to estimate direct and indirect costs for the year 2011 based on unit costs. Using regression analyses, adjusted costs for different BMI groups were calculated.

RESULTS

Overweight and obese people showed significantly higher odds of health care utilisation and productivity losses compared with normal-weight people in most categories. Total direct/indirect costs were significantly higher with increasing severity of obesity (pre-obese (1.05 (0.90-1.23) / 1.38 (1.11-1.71)), obesity level I (1.18 (1.00-1.39) / 1.33 (1.02-1.73)), obesity level II (1.46 (1.14-1.87) / 1.77 (1.18-2.65)) or level III (2.04 (1.40-2.97) / 1.99 (1.20-3.30)) compared to normal-weight participants. In particular, higher obesity classes were significantly associated with increased costs for medication, general practitioner utilisation and work absence.

CONCLUSION

Our results show that overweight and obesity are associated with enormous societal direct and indirect costs in Germany. This supports the evidence from previous top-down studies, but provides important new information based on a large pooled data set and measured BMI.