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

Cancer Research UK'S obesity campaign in 2018 and 2019: effective health promotion or perpetuating the stigmatisation of obesity?

In 2018 and 2019 Cancer Research UK (CRUK) launched a controversial advertising campaign to inform the British public of obesity being a preventable cause of cancer. On each occasion the advertisements used were emotive and provoked frustration among the British public which was widely vocalised on social media. As well serving to educate the public of this association, the advertisements also had the secondary effect of acting as health promotion through social marketing, a form of advertising designed to influence behavioural changes. As CRUK delivered a public health message through its campaign, the advertisements should be held according to the ethical principles which underpin healthcare in the UK. This article evaluates whether the advertisements used by CRUK in 2018 and 2019 fulfilled the ethical principles of beneficence, autonomy, non-maleficence and justice. It is found that while providing an important message, the oversimplification of obesity as being the result of personal decisions ignored the complex aetiology and served to stigmatise the target demographic, potentially disengaging them from the message. Additionally, posting cancer as the consequence of obesity invokes feelings of fear due to its connotations of suffering and premature death. Based on available evidence, the use of fear in social marketing does not create sustained behavioural change. This essay recommends that CRUK discontinue its use of such strategies in its future social marketing endeavours.

Health-care spending attributable to modifiable risk factors in the USA: an economic attribution analysis

BACKGROUND

There is a robust understanding of how specific behavioural, metabolic, and environmental risk factors increase the risk of health burden. However, there is less understanding of how these risks individually and jointly affect health-care spending. The objective of this study was to quantify health-care spending attributable to modifiable risk factors in the USA for 2016.

METHODS

We extracted estimates of US health-care spending by condition, age, and sex from the Institute for Health Metrics and Evaluation's Disease Expenditure Study 2016 and merged these estimates with population attributable fraction estimates for 84 modifiable risk factors from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 to produce estimates of spending by condition attributable to these risk factors. Because not all spending can be linked to health burden, we adjusted attributable spending estimates downwards, proportional to the association between health burden and health-care spending across time and age for each aggregate health condition. We propagated underlying uncertainty from the original data sources by randomly pairing the draws from the two studies and completing our analysis 1000 times independently.

FINDINGS

In 2016, US health-care spending attributable to modifiable risk factors was US$730·4 billion (95% uncertainty interval [UI] 694·6-768·5), corresponding to 27·0% (95% UI 25·7-28·4) of total health-care spending. Attributable spending was largely due to five risk factors: high body-mass index ($238·5 billion, 178·2-291·6), high systolic blood pressure ($179·9 billion, 164·5-196·0), high fasting plasma glucose ($171·9 billion, 154·8-191·9), dietary risks ($143·6 billion, 130·3-156·1), and tobacco smoke ($130·0 billion, 116·8-143·5). Spending attributable to risk factor varied by age and sex, with the fraction of attributable spending largest for those aged 65 years and older (45·5%, 44·2-46·8).

INTERPRETATION

This study shows high spending on health care attributable to modifiable risk factors and highlights the need for preventing and controlling risk exposure. These attributable spending estimates can contribute to informed development and implementation of programmes to reduce risk exposure, their health burden, and health-care cost.

FUNDING

Vitality Institute.

Individualizing pharmacogenomic test results in the context of the microbiome

The field of pharmacogenetic testing was hailed as one of the early successful clinical applications arising from the personalized (or precision) medicine revolution. Substantial progress has been made to identify genes and genetic variants involved in drug response and establish clinical implementation programs. Yet, drug response is a complex trait and recent work has highlighted the key role played by the gut microbiome. As the study of the gut microbiome and pharmacogenetics converge, it may be possible to generate more precise predictions of drug response and improve health outcomes to treatments. Substantial effort will be needed to understand the dynamic impact of the microbiome and the interplay with host genetics and how to implement expanded pharmacogenetic testing.

Effective SLOPE: EffectS of Lifestyle interventions in Older PEople with obesity: a systematic review and network meta-analysis protocol

INTRODUCTION

Obesity is highly prevalent in older adults aged 65 years or older. Different lifestyle interventions (diet, exercise, self-management) are available but benefits and harms have not been fully quantified comparing all available health promotion interventions. Special consideration must be given to functional outcomes and possible adverse effects (loss of muscle and bone mass, hypoglycaemia) of weight loss interventions in this age group. The objective of this study is to synthesise the evidence regarding the effects of different types and modalities of lifestyle interventions, or their combinations, on physical function and obesity-related outcomes such as body composition in older adults with obesity.

METHODS AND ANALYSES

Six databases (Medline, Embase, Cochrane Central Register of Controlled Trials, Cumulated Index to Nursing and Allied Health Literature (CINAHL), Psychinfo and Web of Science) and two trial registries (Clinicaltrials.gov and the WHO International Clinical Trials Registry Platform) will be searched for randomised controlled trials of lifestyle interventions in older adults with obesity. Screening (title/abstract and full-text) and data extraction of references as well as assessment of risk of bias and rating of the certainty of evidence (Grading of Recommendations, Assessment, Development and Evaluation for network meta-analyses) will be performed by two reviewers independently. Frequentist random-effects network meta-analyses will be conducted to determine the pooled effects from each intervention.

ETHICS AND DISSEMINATION

We will submit our findings to peer-reviewed journals and present at national and international conferences as well as in scientific medical societies. Patient-targeted dissemination will involve local and national advocate groups.

PROSPERO REGISTRATION NUMBER

CRD42019147286.

Comparing the predictive ability of the Edmonton Obesity Staging System with the body mass index for use of health services and pharmacotherapies in Australian adults: A nationally representative cross-sectional study

We assessed the value of the Edmonton Obesity Staging System (EOSS) compared with the body mass index (BMI) for determining associations with use of health services and pharmacotherapies in a nationally representative sample of participants in the 2011-2013 Australian Health Survey. A subsample of participants aged 18 years or over, with at least overweight (BMI ≥ 25 kg/m² ) or central obesity (waist measurement of ≥102 cm for men; ≥88 cm for women), and who had provided physical measurements (n = 9730) were selected for analysis. For statistical significance of each predictor, we used logistic regression for model comparisons with the BMI and EOSS separately, and adjusted for covariates. For relative explanatory ability, we used the Nagelkerke pseudo R² , receiver operating characteristic curve, and area under curve statistic. The EOSS was significantly better than the BMI for predicting polypharmacy and most of the health service use variables. Conversely, the BMI was significantly better than the EOSS for predicting having discussed lifestyle changes relevant to weight loss with the primary care physician. Clinicians, health care professionals, consumers, and policy makers should consider the EOSS a more accurate predictor of polypharmacy and health service use than the BMI in adults with overweight or obesity.

Exposure to light at night (LAN) and risk of obesity: A systematic review and meta-analysis of observational studies

BACKGROUND

There is emerging evidence of the association between light at night (LAN) exposure and weight gain.

OBJECTIVE

We aim to conduct a systematic review and meta-analysis of observational studies on the association between LAN exposure and risk of obesity in human subjects.

METHODS

Peer-reviewed observational studies were systematically searched from MEDLINE (EBSCO), Academic Search Complete (EBSCO), CINAHL Plus (EBSCO) and PubMed up to December 24, 2019. Random-effects models were developed to estimate the associations between LAN exposure and weight-related outcomes of overweight and obesity as measured by body mass index (BMI), waist circumference, waist-hip-ratio and waist-to-height-ratio. The I² statistic was used to assess the degree of heterogeneity across studies. The National Toxicology Program's Office of Health Assessment and Translation (OHAT) risk of bias rating tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) guideline were respectively employed to assess the risk of bias and to appraise the quality of the generated evidence.

RESULTS

A total of 12 studies (three with longitudinal and nine of cross-sectional design) published between 2003 and 2019 were included for systematic review, while seven of them fulfilling the inclusion/exclusion criteria were included in the meta-analysis. A higher LAN exposure was significantly associated with 13% higher odds of overweight (BMI≥25 kg/m²) (Summary Odds Ratio; SOR: 1.13, 95% CI: 1.10-1.16) with low heterogeneity (I² = 27.27%), and 22% higher odds of obesity (BMI≥30 kg/m²) (SOR: 1.22, 95% CI: 1.07-1.38) with substantial heterogeneity (I² = 85.96%). Stratifying analyses by the levels of measurement of LAN exposures (macro-, meso- and micro-levels) and time of LAN measurement (including before and while sleeping) consistently produced robust estimates, with higher exposure to LAN being positively associated with poorer weight outcomes. Assessment of risk of bias identified substantial detection bias for exposure, with over half of the pooled studies employing subjective LAN measures. The overall evidence of the association between LAN exposure and risk of obesity was rated as 'moderate' as per the GRADE guideline.

CONCLUSIONS

Exposure to LAN was reported to be a significant risk factor for overweight and obesity. Prospectively designed future studies with objectively measured multi-level LAN exposures and weight outcomes are required.

BMI and Cause-Specific Hospital Admissions and Costs: The UK Biobank Cohort Study

OBJECTIVE

To estimate the effect of BMI on cause-specific hospital admissions and costs in men and women is not well understood, and this study's aim is to address this.

METHODS

For 451,320 men and women aged 40 years or older recruited into the UK Biobank, followed up for 6 years on average, this study estimated annual rates and costs (at 2016 UK prices) of hospital admissions, overall and by diagnostic category (using International Classification of Diseases, Tenth Revision chapters), in relation to BMI.

RESULTS

Among those who were never smokers, a 2-kg/m² higher BMI (above 20 kg/m² ) was associated with a 6.2% (99% CI: 5.3% to 7.2%) higher admission rate and an 8.6% (99% CI: 7.3% to 10.0%) higher annual cost in men and with a 5.7% (99% CI: 4.9% to 6.6%) higher admission rate and an 8.4% (99% CI: 7.5% to 9.3%) higher annual cost in women. Higher BMI was associated with higher admission rates and costs for many types of health conditions, particularly for endocrine, skin, and musculoskeletal disorders in both men and women and for circulatory diseases in men.

CONCLUSIONS

BMI beyond healthy weight is strongly associated with higher annual rates of hospital admission and higher costs in both men and women across a wide range of health conditions.

Updates on Monogenic Obesity in a Multifactorial Disease

Obesity is a worldwide epidemic with rates nearly doubling over the last 30 years. Despite increasing prevalence, the multifactorial pathogenesis of obesity continues to be widely misunderstood. Investigating genetic drivers in the development of obesity is an important area of focus, as genetics move to the forefront of medicine and personalized treatment evolves. Thus, this narrative review focused on four genes which have genome-wide association study-documented links to obesity and obesity syndromes. We explored their involvement in the predisposition, progression, and prognosis of obesity. Leptin, leptin receptor, pro-opiomelanocortin, and melanocortin 4 receptor are our four genes of interest, and herein we elaborated on the current literature, pathogenesis, and available treatments for patients with these specific genetic mutations.

Obesity, cardiovascular risk and healthcare resource utilization in the UK

Aims

Obesity and cardiovascular diseases (CVDs) often co-occur, likely increasing the intensity of healthcare resource utilization (HCRU). This retrospective, observational database study examined the joint effect of obesity and cardiovascular risk status on HCRU and compared HCRU between body mass index (BMI) categories and CVD-risk categories in the UK.

Methods

Patient demographics and data on CVD and BMI were obtained from the UK Clinical Practice Research Datalink. Cardiovascular risk status, calculated using the Framingham Risk Equation, was used to categorize people into high-risk and low-risk groups, while a CVD diagnosis was used to define the established CVD group. Patients were split into BMI categories using the standard World Health Organization classifications. For each CVD and BMI category, mean number and costs of general practitioner contacts, hospital admissions and prescriptions were estimated.

Results

The final study population included 1,600,709 patients. Data on CVD status were available on just over one-quarter of the sample (28.6%) and BMI data for just less than half (43.2%). The number of general practitioner contacts and prescriptions increased with increasing BMI category for each of the three CVD-risk groups. The group with established CVD had the greatest utilization of all components of healthcare resource, followed by high CVD risk then low CVD-risk groups.

Conclusion

Increasing BMI category and CVD-risk status both affected several HCRU components. These findings highlight the importance of timely obesity management and treatment of CVD-risk factors as a means of preventing increasing HCRU.

Is First Trimester Maternal 25-Hydroxyvitamin D Level Related to Adverse Maternal and Neonatal Pregnancy Outcomes? A Prospective Cohort Study among Malaysian Women

Information on the role of 25-hydroxyvitamin D (25(OH)D) in preventing adverse pregnancy/neonatal outcomes is limited in Malaysia. This study aims to determine the relationship between the level of maternal 25(OH)D in the first trimester of pregnant women and their pregnancy/neonatal outcomes. A total of 60 pregnant women in the first trimester were recruited and followed until the end of their pregnancy. The occurrence of any antenatal, delivery, and neonatal complications was recorded. Their blood was collected in the first trimester for total serum 25(OH)D determination using enzyme-linked immunosorbent assay. Overall, 10% of the women had vitamin D deficiency, while 57% had vitamin D insufficiency in their first trimester. No statistically significant difference in 25(OH)D level/status was observed between women with or without antenatal and delivery complications (p > 0.05). No difference in maternal serum 25(OH)D level and vitamin D status was observed between neonates with or without complications (p > 0.05). In conclusion, there is a high prevalence of vitamin D insufficiency among Malaysian pregnant women, but it is not associated with adverse maternal and neonatal outcomes. More comprehensive studies should be planned to verify this relationship.

Rising prevalence of BMI ≥40 kg/m2 : A high-demand epidemic needing better documentation

Whilst previously rare, some surveys indicate substantial increases in the population with body mass index (BMI) ≥40 kg/m2 since the 1980s. Clinicians report emerging care challenges for this population, often with high resource demands. Accurate prevalence data, gathered using reliable methods, are needed to inform health care practice, planning, and research. We searched digitally for English language sources with measured prevalence data on adult BMI ≥40 collected since 2010. The search strategy included sources identified from recent work by NCD-RisC (2017), grey sources, a literature search to find current sources, and digital snowball searching. Eighteen countries, across five continents, reported BMI ≥40 prevalence data in surveys since 2010: 12% of eligible national surveys examined. Prevalence of BMI ≥40 ranged from 1.3% (Spain) to 7.7% (USA) for all adults, 0.7% (Serbia) to 5.6% (USA) for men, and 1.8% (Poland) to 9.7% (USA) for women. Limited trend data covering recent decades support significant growth of BMI ≥40 population. Methodological limitations include small samples and data collection methods likely to exclude people with very high BMIs. BMI ≥40 data are not routinely reported in international surveys. Lack of data impairs surveillance of population trends, understanding of causation, and societal provision for individuals living with higher weights.

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.

The combined effects of different fat replacers and rennet casein on the properties of reduced-fat processed cheese

Reduced-fat food products can help to prevent obesity and other diet-related diseases. However, the removal of fat often impairs the sensory and textural properties of foods, leading to low consumer acceptance. In this study, we tested various concentrations of fat replacers (inulin, corn dextrin, polydextrose, and microparticulated whey protein) combined with rennet casein to investigate their effects on the melting behavior, dynamic rheological properties, and hardness of reduced-fat processed cheese. We found that increasing concentrations of inulin and corn dextrin reduced the flowability of cheese in the melting test and can thus be used to inhibit flow during heating. Microparticulated whey protein did not affect flowability but caused an increase in the storage and loss moduli as well as the temperature at gel-sol transition. A similar effect was also shown for rennet casein, whereas inulin and polydextrose had little or no effect on these rheological parameters. Corn dextrin had no effect on the storage and loss moduli, but affected the gel-sol transition temperature. No changes in hardness were detected for any concentration of the fat replacers, but increasing the rennet casein content also increased the hardness of the samples, regardless of the fat replacer used. Our results indicate the different concentrations and combinations of fat replacers and rennet casein that can be included in reduced-fat processed cheese to develop products with specific rheological properties, thus meeting future demand for reduced-fat products with attractive sensory attributes.

Massive Localized Abdominal Lymphedema Treatment Challenges

Massive localized lymphedema of the abdomen is a rare condition resulting from a neglected lower abdominal pannus associated with significant disability and morbidity. Compared to other surgical procedures, postbariatric surgery is usually considered a financial drain. In the United Kingdom, this requires National Health Service approval and delays may lead to sequelae that adversely impact on patients' quality of life with increased morbidity. We present a wheelchair-bound patient whose body mass index increased from 53 to 82, while awaiting funding approval increasing her anesthetic and surgical risks. A multidisciplinary approach is mandatory for preoperative, intraoperative, and postoperative care for these patients including anesthetic input and high dependency unit care. Managing this patient was a significant anesthetic and surgical challenge with 47-kg resected tissue. The planning and perioperative measures to minimize morbidity are discussed.

Body mass index and use and costs of primary care services among women aged 55-79 years in England: a cohort and linked data study

BACKGROUND

Excess weight is associated with poor health and increased healthcare costs. There are no reliable data describing the association between BMI and the use and costs of primary care services in the United Kingdom.

METHODS

Among 69,440 participants in the Million Women Study with primary care records in the Clinical Practice Research Datalink between April 2006 (mean age 64 years) and March 2014, the annual rates and costs of their primary care consultations, prescription medications, and diagnostic and monitoring tests were estimated in relation to their self-reported body mass index (BMI) at recruitment in 1996-2001 (mean age 56 years). Associations of BMI with annual costs were projected to all women in England aged 55-79 years in 2013.

RESULTS

Over an average follow-up of 6.0 years, annual rates and mean costs were lowest for women with a BMI of 20 to <22.5 kg/m2 for consultations (7.0 consultations, 99% CI 6.8-7.1; £288, £280-£295) and prescription medications (27.0 prescribed items, 26.0-27.9; £227, £216-£237). Above 20 kg/m2, a 2 kg/m2 higher BMI (a 5 kg change in weight for a woman of average height) was associated with 5.2% (4.8-5.6) and 9.9% (9.2-10.6) higher mean annual consultation and prescription medication costs, respectively. Annual rates and mean costs of diagnostic and monitoring tests were similar for women with different BMIs. Among all women aged 55-79 years in England, excess weight accounted for an estimated 11% (£229 million/£2.2 billion) of all consultation costs and 20% (£384 million/£1.9 billion) of all prescription medication costs, of which 27% were for diabetes drugs, 19% for circulatory system drugs, and 13% for analgesics.

CONCLUSIONS

Excess body weight is associated with higher use and costs of primary care services among women in England. Reducing the prevalence of excess weight could improve the health of women and reduce pressures on primary care.

The myths of obesity

Despite an epidemic of obesity, the availability of bariatric surgery is limited. Negative beliefs about obesity and bariatric surgery are one of the barriers to access. In this article, we address and dispel some of the common myths surrounding obesity and bariatric surgery.

The Association Between Adiposity and Inpatient Hospital Costs in the UK Biobank Cohort

BACKGROUND

High adiposity is associated with higher risks for a variety of adverse health outcomes, including higher rates of age-adjusted mortality and increased morbidity. This has important implications for the management of healthcare systems, since the endocrinal, cardiometabolic and other changes associated with increased adiposity may be associated with substantial healthcare costs.

METHODS

We studied the association between various measures of adiposity and inpatient hospital costs through record linkage between UK Biobank and records of inpatient care in England and Wales. UK Biobank is a large prospective cohort study that aimed to recruit men and women aged between 40 and 69 from 2006 to 2010. We applied generalised linear models to cost per person year to estimate the marginal effect of adiposity, and average adjusted predicted costs of adiposity.

RESULTS

Valid cost and body mass index (BMI) data from 457,689 participants were available for inferential analysis. Some 54.4% of individuals included in the analysis sample had positive inpatient healthcare costs over the period of follow-up. Median hospital costs per person-year of follow-up were £89, compared to mean costs of £481. Mean BMI overall was 27.4 kg/m² (standard deviation 4.8). The marginal effect of a unit increase in BMI was £13.61 (99% confidence interval £12.60-£14.63) per person-year of follow up. The marginal effect of a standard deviation increase in BMI was £69.20 (99% confidence interval £64.98-£73.42). The marginal effect of becoming obese was £136.35 (99% confidence interval £124.62-£148.08). Average adjusted predicted inpatient hospital costs increased almost linearly when modelled using continuous measure of adiposity. Sensitivity analysis of different scenarios did not substantially change these conclusions, although there was some evidence of attenuation of the effects of adiposity when controlling for waist-hip ratios, and when individuals who self-reported any pre-existing conditions were excluded from analysis.

CONCLUSIONS

Higher adiposity is associated with higher inpatient hospital costs. Further scrutiny using causal inferential methods is warranted to establish if further public health investments are required to manage the large healthcare costs observationally associated with overweight and obesity.

Issues in Measuring and Interpreting Diet and Its Contribution to Obesity

PURPOSE OF REVIEW

This review summarises the issues related to the measurement and interpretation of dietary intake in individuals with overweight and obesity, as well as identifies future research priorities.

RECENT FINDINGS

Some aspects of the assessment of dietary intake have improved through the application of technology-based methods and the use of dietary biomarkers. In populations with overweight and obesity, misreporting bias related to social desirability is a prominent issue. Future efforts should focus on combining technology-based dietary methods with the use of dietary biomarkers to help reduce and account for the impact of these biases. Future research will be important in terms of strengthening methods used in the assessment and interpretation of dietary intake data in the context of overweight and obesity.

Internet Use and Preventive Health Behaviors Among Couples in Later Life: Evidence from the Health and Retirement Study

Background and Objectives

The aim of this study was to examine the link between internet use and preventive health behaviors. We focused on couples to examine whether there were cross-partner associations between internet use and preventive health behaviors.

Research Design and Methods

The data for this study came from the 2010 and 2012 waves of the Health and Retirement Study and the sample consisted of 5,143 pairs of coupled-individuals. Preventive health behaviors included cancer screenings (mammogram and prostate tests), cholesterol tests, and flu shots. Logistic multilevel actor-partner interdependence models were employed to test the study hypotheses.

Results

Internet use was associated with a higher likelihood of receiving prostate exams and cholesterol tests for husbands, net of demographic and health characteristics, and insurance status. We found that wives' internet use was associated with a higher likelihood of receiving flu shots and prostate exams for husbands, but husbands' internet use was not associated with wives' preventive health behaviors.

Discussion and Implications

Research linking internet use and preventive health behaviors is important because such behaviors are associated not only with health of the older population but also with substantial reductions in health care expenditures. Our findings suggested that internet use of older adults is associated with their own preventive health behaviors, as well as their spouses' preventive health behaviors. Interventions and programs to facilitate older adults' preventive health behaviors should consider couple-based approaches.

Body mass index restrictions in fertility treatment: a national survey of OB/GYN subspecialists

PURPOSE

To explore the attitudes of reproductive endocrinology and infertility (REI) and maternal-fetal medicine (MFM) subspecialists regarding the necessity and appropriateness of body mass index (BMI) cutoffs for women seeking fertility treatment.

METHODS

Members of the Society for Reproductive Endocrinology and Infertility (SREI) and the Society for Maternal Fetal Medicine (SMFM) were invited to participate in a survey querying their knowledge of existing institutional or clinic BMI policies and personal opinions regarding upper and lower BMI cutoffs for a range of fertility treatments, including oral ovulation agents, gonadotropins, and in vitro fertilization.

RESULTS

Respondents included 398 MFMs and 201 REIs. The majority of REI and MFM providers agreed with upper limit BMI cutoffs (72.5% vs 68.2%, p = 0.29), but REIs were twice as likely to support lower limit BMI restrictions compared to MFMs (56.2% vs 28.4%, p < 0.0001). Those who supported upper BMI restrictions were more likely to be female and report existing institutional BMI cutoffs. The majority of respondents (99.3%) believed that an official statement to guide clinicians should be issued by a national professional organization.

CONCLUSIONS

Although practice patterns widely vary, the majority of REIs and MFMs believe that there should be a BMI cutoff above which women should not be offered immediate fertility treatment. Furthermore, there is a reported need for a written statement by a national professional organization to guide clinical practice and to ensure that OB/GYN subspecialists are providing consistent, fair, and safe recommendations to infertile women at the extremes of BMI.

Socioeconomic inequalities in obesity: modelling future trends in Australia

OBJECTIVES

To develop a model to predict future socioeconomic inequalities in body mass index (BMI) and obesity.

DESIGN

Microsimulation modelling using BMI data from adult participants of Australian Health Surveys, and published data on the relative risk of mortality in relation to BMI and socioeconomic position (SEP), based on education.

SETTING

Australia.

PARTICIPANTS

74 329 adults, aged 20 and over from Australian Health Surveys, 1995-2015.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcomes were BMI trajectories and obesity prevalence by SEP for four birth cohorts, born 10 years apart, centred on 1940, 1950, 1960 and 1970.

RESULTS

Simulations projected persistent or widening socioeconomic inequality in BMI and obesity over the adult life course, for all birth cohorts. Recent birth cohorts were predicted to have greater socioeconomic inequality by middle age, compared with earlier cohorts. For example, among men, there was no inequality in obesity prevalence at age 60 for the 1940 birth cohort (low SEP 25% (95% CI 17% to 34%); high SEP 26% (95% CI 19% to 34%)), yet for the 1970 birth cohort, obesity prevalence was projected to be 51% (95% CI 43% to 58%) and 41% (95% CI 36% to 46%) for the low and high SEP groups, respectively. Notably, for more recent birth cohorts, the model predicted the greatest socioeconomic inequality in severe obesity (BMI >35 kg/m²) at age 60.

CONCLUSIONS

Lower SEP groups and more recent birth cohorts are at higher risk of obesity and severe obesity, and its consequences in middle age. Prevention efforts should focus on these vulnerable population groups in order to avoid future disparities in health outcomes. The model provides a framework for further research to investigate which interventions will be most effective in narrowing the gap in socioeconomic disparities in obesity in adulthood.

Is Doctor Referral to a Low-Energy Total Diet Replacement Program Cost-Effective for the Routine Treatment of Obesity?

OBJECTIVE

The study objective was to estimate the cost-effectiveness of a commercially provided low-energy total diet replacement (TDR) program compared with nurse-led behavioral support.

METHODS

A multistate life table model and the weight reduction observed in a randomized controlled trial were used to evaluate the quality-adjusted life-years and direct health care costs (in United Kingdom 2017 prices) over a lifetime with TDR versus nurse-led support in adults who had obesity, assuming that (i) weight returns to baseline over 5 years and (ii) a 1-kg weight loss is maintained after 5 years following TDR.

RESULTS

The per-person costs of the TDR and nurse-led programs were £796 and £34, respectively. The incremental cost-effectiveness ratio of TDR was £12,955 (95% CI: £8,082-£17,827) assuming that all weight lost is regained and £3,203 (£2,580-£3,825) assuming that a 1-kg weight loss is maintained after 5 years. TDR was estimated to be more cost-effective (i.e., lower incremental cost-effectiveness ratios) in older adults and those with a higher BMI, with little difference by gender.

CONCLUSIONS

At current retail prices and with plausible long-term weight regain trajectories, TDR is projected to be cost-effective in adults with obesity and could be considered as an option to treat obesity in routine health care settings.

Interventions to accelerate change towards a healthier diet

Poor diets are a significant contributor to non-communicable diseases and obesity. Despite years of health promotion, change in dietary habits is slow and there is growing recognition of the need to provide greater support to individuals and to complement individual efforts with changes in the food environment to shift the default towards healthier diets. The present paper summarises opportunities for intervention at the individual and population level. It discusses the role of voluntary or mandatory approaches to drive change in the food industry and the need for improved methods to monitor and evaluate progress. It concludes with a call to action from all stakeholders to accelerate change towards a healthier diet.

Geographic Variation in Obesity, Behavioral Treatment, and Bariatric Surgery for Veterans

OBJECTIVE

This study aims to describe geographic variation in veterans' prevalence of obesity, participation in Veterans Health Administration's behavioral weight management program (MOVE!), and receipt of bariatric surgery in fiscal year (FY) 2016.

METHODS

In this retrospective cohort study of veterans with obesity who received Veterans Health Administration care in FY2016, electronic health record data were obtained on weight, height, outpatient visits to the MOVE! program, and bariatric surgeries. For each Veterans Integrated Service Network (VISN) region, the prevalence rate of veterans with obesity (BMI ≥ 30 kg/m² ), MOVE! participation rates, and bariatric surgery rates are presented.

RESULTS

The prevalence of obesity in veterans ranged from 30.5% to 40.5% across VISNs in FY2016. MOVE! participation among veterans with obesity was low (2.8%-6.9%) across all VISNs, but veterans with class II and III obesity (BMI ≥ 35) had higher MOVE! participation rates (4.3%-10.8%) than veterans with class I obesity. There was 20-fold variation across VISNs in receipt of bariatric surgery among veterans with BMI ≥ 35, ranging from 0.01% to 0.2%. Among veterans with BMI ≥ 35 participating in MOVE!, there was 46-fold variation in bariatric surgery provision, ranging from 0.07% to 3.27%.

CONCLUSIONS

Despite veterans' high prevalence of obesity, behavioral and surgical weight management participation is low and varies across regions.

Assessing the Impact of Body Mass Index Information on the Performance of Risk Adjustment Models in Predicting Health Care Costs and Utilization

BACKGROUND

Using electronic health records (EHRs) for population risk stratification has gained attention in recent years. Compared with insurance claims, EHRs offer novel data types (eg, vital signs) that can potentially improve population-based predictive models of cost and utilization.

OBJECTIVE

To evaluate whether EHR-extracted body mass index (BMI) improves the performance of diagnosis-based models to predict concurrent and prospective health care costs and utilization.

METHODS

We used claims and EHR data over a 2-year period from a cohort of continuously insured patients (aged 20-64 y) within an integrated health system. We examined the addition of BMI to 3 diagnosis-based models of increasing comprehensiveness (ie, demographics, Charlson, and Dx-PM model of the Adjusted Clinical Group system) to predict concurrent and prospective costs and utilization, and compared the performance of models with and without BMI.

RESULTS

The study population included 59,849 patients, 57% female, with BMI class I, II, and III comprising 19%, 9%, and 6% of the population. Among demographic models, R improvement from adding BMI ranged from 61% (ie, R increased from 0.56 to 0.90) for prospective pharmacy cost to 29% (1.24-1.60) for concurrent medical cost. Adding BMI to demographic models improved the prediction of all binary service-linked outcomes (ie, hospitalization, emergency department admission, and being in top 5% total costs) with area under the curve increasing from 2% (0.602-0.617) to 7% (0.516-0.554). Adding BMI to Charlson models only improved total and medical cost predictions prospectively (13% and 15%; 4.23-4.79 and 3.30-3.79), and also improved predicting all prospective outcomes with area under the curve increasing from 3% (0.649-0.668) to 4% (0.639-0.665; and, 0.556-0.576). No improvements in prediction were seen in the most comprehensive model (ie, Dx-PM).

DISCUSSION

EHR-extracted BMI levels can be used to enhance predictive models of utilization especially if comprehensive diagnostic data are missing.

Obesity and healthcare resource utilization: results from Clinical Practice Research Database (CPRD)

BACKGROUND/OBJECTIVES

The economic burden of obesity and type 2 diabetes (T2D) rises with increasing prevalence. This study estimates the association between obesity, healthcare resource utilization (HCRU) and associated costs in individuals with/without T2D.

SUBJECTS/METHODS

This observational cohort study used the United Kingdom Clinical Practice Research Datalink data. Between 1 January 2011 and 31 December 2015, total HCRU costs and individual component costs (hospitalizations, general practitioner contacts, prescriptions) were calculated for individuals linked to the Hospital Episodes Statistics database with/without T2D with normal weight, overweight, class I, II, III obesity.

RESULTS

A total of 396,091 individuals were included. Increasing body mass index (BMI) was associated with increased HCRU costs. At each BMI category, costs were greater for individuals with than without T2D. Relative to normal BMI, increasing BMI was positively associated with increased HCRU costs, with similar magnitude regardless of T2D. The total HCRU cost for an individual with class III obesity was 1.4-fold (£3,695) greater than for normal weight.

CONCLUSION

In the United Kingdom, HCRU costs were positively associated with increasing BMI, irrespective of T2D status. The combination of T2D and obesity was associated with higher HCRU costs compared with individuals of the same BMI, without T2D. These findings suggest that prioritizing weight management programmes focused specifically on individuals with obesity and T2D may be more cost-effective than for those with obesity alone.

Obesity and emergency care in the French CONSTANCES cohort

Context

Obese patients are raising specific questions in emergency care such as equipment issues or urgent procedures. Even though obesity prevalence and subsequent health expenditure are increasing worldwide, there is scarce literature about their specific resource utilization of Emergency Departments (ED). These few studies do not take into account both socio-economic situation and comorbidities which are well-known factors influencing healthcare use. Our objective was to assess the emergency care resource utilization of obese individuals (Body Mass Index (BMI) ≥ 30kg.m^-2) compared to normal-weight individuals taking into account comorbidities and social-economic situations.

Methods

The French CONSTANCES epidemiologic cohort is a randomly selected sample of French adults. Participants data are linked to the National Health Insurance Database collecting all medical acts. The rate of ED visits of obese (and each obesity class) and normal-weight participants were compared considering confounding factors (comorbidities, various socio-economic data). The primary endpoint was to have visited the ED between 2010 and 2013. Sex-separated analysis and multivariate logistic regression models were performed and adjusted odds-ratios [OR] (95% Confidence Intervals [CI]) were calculated.

Results

We included 21,035 normal-weight and 5,003 obese participants. Obese participants visited the ED more often than normal-weight participants (men: 30.5% vs. 26.7%; women: 30.3% vs. 24.4%, P<0.001). Obese participants presented more comorbidities and a lower socio-economic situation than normal-weight participants. After adjustment, obese participants had a higher risk of visiting ED (men: OR = 1.18; 95% CI: 1.04–1.33; and women: OR = 1.36; 95% CI: 1.22–1.52), with a higher risk for class III participants (BMI ≥ 40 kg.m^-2) (men: OR = 2.18; CI 95%: 1.32–3.63; and women: OR = 1.85; 95% CI: 1.38–2.49).

Conclusion

Obese individuals have a higher level of emergency care resource utilization than normal-weight individuals and it increases with severe obesity. Further studies are needed to better understand their healthcare pathways leading to EDs.

Obesity and healthcare resource utilization: comparative results from the UK and the USA

Objectives

To estimate the differences between individuals with and without obesity on healthcare resource utilization using two large electronic medical record databases.

Methods

Data from the UK Clinical Practice Research Datalink and US General Electric Centricity database of adults (≥18 years) with registration date before 01/01/2010. Differences between individuals with and without obesity on 5-year rates of Primary Care Physician (PCP) contacts, prescriptions and hospitalizations were analysed.

Results

The study contained 1,878,017 UK and 4,414,883 US individuals. Compared with body mass index (BMI) (18.5-24.9 kg m-2), significant (p < 0.0001) increases in healthcare usage were observed with increasing BMI. Individuals with BMI 30-34.9 kg m-2 had higher PCP contact rate (rate ratios [RR] 1.27 and 1.28 for UK and USA, respectively), higher prescription rate (RR 1.61 and 1.51) and higher hospitalization rate (RR 1.10 and 1.13) than individuals with BMI 18.5-24.9 kg m-2. Individuals with BMI >40 kg m-2 also had higher PCP contact rate (RR 1.56 and 1.64), prescription rate (RR 2.48 and 2.14) and hospitalization rate (RR 1.27 and 1.30) than individuals with BMI 18.5-24.9 kg m-2.

Conclusions

The utilization of healthcare resources is significantly higher in individuals with obesity. A similar trend was observed in both the UK and US cohorts.

Obesity Does Not Increase Operative Time in Otologic Surgery: An Analysis of 5125 Cases

OBJECTIVES

A large shoulder can impact otologic surgical access. The physical obstruction of a large shoulder may force the surgeon to adjust his or her posture or hand position. We sought to assess the effect of body mass index (BMI) on operative time in tympanoplasties and tympanomastoidectomies.

STUDY DESIGN

Cross-sectional analysis.

SETTING

National surgical quality improvement program dataset (NSQIP) 2011 to 2014.

PATIENTS

Current procedural terminology (CPT) codes were used to identify patients undergoing tympanoplasties and tympanomastoidectomies.

INTERVENTIONS

Otologic surgery as indicated by CPT code.

MAIN OUTCOME MEASURES

Targeted variables included height, weight, and operative time. BMI was stratified to assess a range of body compositions (<25, 25-30, >30-35, >35-40, >40). Categorical variables were compared using χ tests and continuous variables were compared using Kruskal-Wallis tests. Correlation between operative time and BMI was assessed using Spearman's rho. A generalized linear model was used to analyze the variables affecting operative time. Surgical complications were assessed in binary logistic regression using the enter method. Two-tailed significance was set at α = 0.05.

RESULTS

Two surgical groups were identified: tympanoplasty (n = 3,508) and tympanomastoidectomy (n = 1,617). There was not a significant difference in mean operative time across the BMI subgroups for either surgical group (p = 0.617, 0.859, respectively). Multivariate analyses showed no significant difference in operative times based on BMI classification.

CONCLUSIONS

The body habitus of obese patients may force the otologic surgeon to adapt, but obese patients do not have a statistically significant longer mean operative time for tympanoplasties and tympanomastoidectomies than patients with a lower BMI.

The Socioeconomic Burden of Obesity

OBJECTIVE

To evaluate the socioeconomic impact of obesity by estimating the direct and indirect costs associated with obesity in Denmark, based on individual level data.

METHODS

Costs were assessed for different BMI groups, and the relative risks for change in direct and indirect costs per BMI point above 30 were estimated. A fourth analysis estimated the odds ratio for comorbidities per BMI point above 30. Individual data on income, social transfer payments, healthcare costs and diagnoses were retrieved from national registries.

RESULTS

One BMI point above 30 was associated with a 2% decrease in income, a 3% increase in social transfer payments, and a 4% increase in healthcare costs. In absolute numbers, income contributed to most of the total economic burden. One BMI point above 30 was also associated with increased comorbidity, which explains the increase in both direct and indirect costs.

CONCLUSION

Obesity is associated with increased comorbidity, giving rise to an increase in both direct and indirect costs. Especially income is affected, which emphasizes the importance of including both measures when evaluating the total socioeconomic burden of obesity. Our findings draw attention to the potential for saving public resources and preventing loss of income by preventing obesity.