Relationship between Waist Circumference,Body Mass Index,and Medical Care Costs

Objective: Excessive visceral adiposity as measured by anthropomorphic measures may be more closely associated with adverse health consequences than body weight or body mass index (BMI), the more commonly obtained clinical measures. Waist circumference (WC) provides information about regional adiposity and may correlate with health care costs better than body weight or BMI. Research Methods and Procedures: A total of 424 men (37%) and women (63%) were identified as they were seen in outpatient medical clinics at Denver Health, an integrated health care system serving a largely indigent population. Height, weight, and WC were measured by one examiner. Information on outpatient, laboratory, pharmacy, inpatient, and total charges attributable to each subject for the preceding year were obtained from computerized databases. Data on health care charges were divided into quartiles based on WC and BMI. Results: Total annual health care charges were significantly greater in the highest WC quartile (WC < 83.3 cm: $6062 ± $784; 83.3 to 93.5 cm: $5968 ± $812; 93.7 to 103.5 cm: $6369 ± $1015; >103.5 cm: $8699 ± $1092; p = 0.047). Those with a WC >103.5 cm generated 85% more inpatient charges than the group with a WC <83.3 cm. Although there was a positive trend, BMI was not found to significantly correlate with total health care charges in this population sample. Discussion: These results suggest that abdominal adiposity as assessed by WC is associated with increased total health care charges and may be a better predictor of health care charges than the more widely used BMI.     

Obesity and the Use of Health Care Services

Objective: This study investigated differences in the use of health care services and associated costs between obese and nonobese patients. Research Methods and Procedures: New adult patients (N = 509) were randomly assigned to primary care physicians at a university medical center. Their use of medical services and related charges was monitored for 1 year. Data collected included sociodemographics, self‐reported health status using the Medical Outcomes Study Short Form‐36, evaluation for depression using the Beck Depression Index, and measured height and weight to calculate BMI. Results: Obese patients included a significantly higher percentage of women and had higher mean age, lower mean education, lower mean health status, and higher mean Beck Depression Index scores. Obese patients had a significantly higher mean number of visits to both primary care (p = 0.0005) and specialty care clinics (p = 0.0006), and a higher mean number of diagnostic services (p < 0.0001). Obese patients also had significantly higher primary care (p = 0.0058), specialty clinic (p = 0.0062), emergency department (p = 0.0484), hospitalization (p = 0.0485), diagnostic services (p = 0.0021), and total charges (p = 0.0033). Controlling for health status, depression, age, education, income, and sex, obesity was significantly related to the use of primary care (p = 0.0364) and diagnostic services (p = 0.0075). There was no statistically significant relationship between obesity and medical expenditures in any of the five categories or for total charges. Discussion: Obesity is a chronic condition requiring long‐term management, with an emphasis on prevention. If this critical health issue is not appropriately addressed, the prevalence of obesity and obesity‐related diseases will continue to grow, resulting in escalating use of health care services.     

Direct Healthcare Cost of Obesity in Brazil: An Application of the Cost-of-Illness Method from the Perspective of the Public Health System in 2011

Background

Obesity is a global public health problem and a risk factor for several diseases that financially impact healthcare systems.

Objective

To estimate the direct costs attributable to obesity (body mass index {BMI} ≥ 30 kg/m²) and morbid obesity (BMI ≥ 40 kg/m²) in adults aged ≥ 20 incurred by the Brazilian public health system in 2011.

Settings

Public hospitals and outpatient care.

Methods

A cost-of-illness method was adopted using a top-down approach based on prevalence. The proportion of the cost of each obesity-associated comorbidity was calculated and obesity prevalence was used to calculate attributable risk. Direct healthcare cost data (inpatient care, bariatric surgery, outpatient care, medications and diagnostic procedures) were extracted from the Ministry of Health information systems, available on the web.

Results

Direct costs attributable to obesity totaled US$ 269.6 million (1.86% of all expenditures on medium- and high-complexity health care). The cost of morbid obesity accounted for 23.8% (US$ 64.2 million) of all obesity-related costs despite being 18 times less prevalent than obesity. Bariatric surgery costs in Brazil totaled US$ 17.4 million in 2011. The cost of morbid obesity in women was five times higher than it was in men.

Conclusion

The cost of morbid obesity was found to be proportionally higher than the cost of obesity. If the current epidemic were not reversed, the prevalence of obesity in Brazil will increase gradually in the coming years, as well as its costs, having serious implications for the financial sustainability of the Brazilian public health system.     

Association between obesity and patient satisfaction

Objective: To examine the relationship between BMI and patient satisfaction with health care providers using a nationally representative survey. Research Methods and Procedures: This analysis examined the 9914 adult patients who completed the 2000 Medical Expenditure Panel Survey and had visited a health care provider within 12 months of the survey. Linear regression models were employed with patient satisfaction as the dependent variable. The patient satisfaction scale was based on ratings from five questions assessing the quality of provider interactions. The independent variable was BMI, with adjustments for the domains of demographics, social‐economic status, health attitudes and behavior, health status, and health care use. BMI (weight in kilograms/square of height in meters) was classified as normal weight (18.5 to 24.9), overweight (25.0 to 29.9), or obese (≥30.0). Hierarchical models were used to evaluate how each domain modified the BMI‐satisfaction association. Results: Obese patients reported significantly greater satisfaction with their health care providers than their normal‐weight counterparts did (p < 0.05). There were no significant differences in satisfaction between normal‐weight and overweight patients or between overweight and obese patients. The health status domain produced the largest modification in the BMI‐satisfaction relationship. Examination of interaction effects revealed that the association between BMI and satisfaction was confined to older persons. Discussion: In this nationally representative sample of individuals, obese persons were more satisfied than their normal‐weight counterparts. This finding counters those of previous studies. Incomplete adjustments for health care use and insurance status may have led to those conclusions.     

The Relationship between Body Weight and Health Care among German Women

Objective: To investigate the relationship between body weight and the use of health care services among women from southern Germany. Research Methods and Procedures: Data were drawn from the 1994 to 1995 Monitoring of Trends and Determinants in Cardiovascular Disease Augsburg survey, covering a population‐representative sample of women 25 to 74 years old (n = 2301). Logistic regression models were used to calculate odds ratios (ORs) for the use of medical services by women with overweight (BMI 25.0 to 29.9 kg/m²) or obesity (BMI ≥ 30 kg/m²) in comparison with normal‐weight women (BMI < 25.0 kg/m²). Results: In multivariable analysis, obese women 50 to 74 years old were more likely than normal‐weight women to delay cancer screening procedures, such as manual breast examination and Papanicolaou smear (OR 0.52, 95% confidence interval 0.37 to 0.74) in the previous 12 months. However, the relationship between obesity and cancer screening was not found to be significant in 25‐ to 49‐year‐old women (OR 0.92, 95% confidence interval 0.62 to 1.36). Neither in the 25‐ to 49‐year‐old age group nor in the 50‐ to 74‐year‐old age group were independent relationships between higher body weight and total physician visits, hospitalizations, or medication use observed. Discussion: Obese women tended to use medical services with greater frequency due to obesity‐related diseases. However, postmenopausal women with a BMI ≥ 30 kg/m² were more likely to delay routine cancer screening, putting them at a greater risk for death from breast, cervical, and endometrial cancer. Thus, obese postmenopausal women should be targeted for increased screening.     

Use of complementary and alternative therapies by overweight and obese adults

Objective: Obesity is associated with higher health‐care costs due, in part, to higher use of traditional health care. Few data are available on the relationship between obesity and the use of complementary and alternative medicine (CAM). Methods and Procedures: We analyzed data on CAM use from the 2002 National Health Interview Survey (NHIS) Alternative Medicine Supplement (n = 31,044). We compared the use of CAM overall, within the past 12 months, between normal weight (BMI from 18 to <25), overweight (from 25 to <30), mildly obese (from 30 to <35), moderately obese (from 35 to <40), and extremely obese (>40) adults. For the primary analysis, our multivariable model was adjusted for sociodemographic factors, insurance status, medical conditions, and health behaviors. We performed additional analyses to explore the association of BMI and the use of seven CAM modalities. Results: We found that adults with obesity have lower prevalence of use of yoga therapy, and similar prevalence of use of several CAM modalities, including relaxation techniques, natural herbs, massage, chiropractic medicine, tai chi, and acupuncture, compared to normal‐weight individuals. After adjustment for sociodemographic factors, insurance status, medical conditions, and health behaviors, adults with obesity were generally less likely to use most individual CAM modalities, although the magnitude of these differences were quite modest in many cases. Discussion: Even though adults with obesity have a greater illness burden and higher utilization of traditional medical care, adults with higher BMIs were no more likely to use each of the individual CAM therapies studied. Additional research is needed to improve our understanding of CAM use by adults with obesity.     

Midlife obesity and long-term risk of nursing home admission

Objective: Obesity is a growing problem among middle‐aged individuals. We investigated whether obesity in middle‐aged individuals influences the need for future nursing home care and whether the risk of nursing home admission associated with obesity is greater in whites than in blacks. Research Methods and Procedures: The study population (N = 8804) consisted of long‐term members of the Kaiser Permanente Medical Care Plan ages 75 to 85 years in 1995 who had completed a standardized, multiphasic health checkup while in their 50s. The multiphasic health checkup examinations were performed as part of routine medical care between the years 1964 and 1973 and included standardized measurements of BMI. We used health plan records to assess incident nursing home admissions from 1995 to 2002. The risk of nursing home admission associated with standard categories of midlife BMI was estimated using Cox proportional hazard analysis. Results: During an average follow‐up of 5.1 years, the nursing home admission rate was 6.8 per 100 person‐years of observation. After adjustment for comorbidities, midlife obesity predicted incident nursing home admission ～25 years later [hazard ratio (HR), 1.30; 95% confidence interval (CI), 1.15 to 1.46; p < 0.001]. Overweight BMI at midlife was not associated with future nursing home admission (HR, 1.05; 95% CI, 0.97 to 1.14; p = 0.23). The risk of nursing home admission associated with midlife obesity was higher in whites (HR, 1.34; 95% CI, 1.17 to 1.54; p < 0.001) than in blacks (HR 1.15; 95% CI, 0.87 to 1.52; p = 0.32), but the difference between races was not significant (p for interaction = 0.65). Discussion: Obesity among middle‐aged individuals is associated with an increased risk of nursing home admission in late life and may be an important target for reducing the future societal burden of nursing home care.     

Obesity Affects Nursing‐Care Facility Admission among Whites but Not Blacks

Objective: This study examines whether obese individuals have a greater rate of nursing care facility admission than normal weight individuals. Research Methods and Procedures: Data from the National Health and Nutrition Examination Survey Epidemiological Follow‐up Survey were analyzed. Cox proportional hazards models were used to examine the relationship between baseline weight status and subsequent time to first nursing home admission while adjusting for sex, age, race, marital status, height, presence of children, smoking status, education, region, urban residence, income, and physical activity. Results: Of 5960 adults 45 to 74 years old, 989 individuals were admitted to a nursing care facility over the subsequent 20 years. Body mass index (BMI) was studied using five categories: < 18.5, 18.5 to <25, 25.0 to <30, 30.0 to <35, ≥35 kg/m². The effects of BMI differed by race: compared with those with a BMI of 18.5 to < 25 kg/m², adults with a BMI ≥30 kg/m² or a BMI <18.5 kg/m² had a greater rate of nursing home admission in whites, whereas no relationship was found in blacks. The inclusion of time to death with nursing home admission as a joint outcome yielded similar results. Discussion: The large increase in the prevalence of obesity coupled with the rapid expansion of the number of older Americans will likely increase the demand for nursing facility use. More research is needed to understand differences in factors related to nursing home admission among ethnic groups.     

Health and Economic Burden of Obesity in Brazil

Introduction

Higher and lower-middle income countries are increasingly affected by obesity. Obesity-related diseases are placing a substantial health and economic burden on Brazil. Our aim is to measure the future consequences of these trends on the associated disease burden and health care costs.

Method

A previously developed micro-simulation model is used to project the extent of obesity, obesity-related diseases and associated healthcare costs to 2050. In total, thirteen diseases were considered: coronary heart disease, stroke, hypertension, diabetes, osteoarthritis, and eight cancers. We simulated three hypothetical intervention scenarios: no intervention, 1% and 5% reduction in body mass index (BMI).

Results

In 2010, nearly 57% of the Brazilian male population was overweight or obese (BMI ≥25 kg/m²), but the model projects rates as high as 95% by 2050. A slightly less pessimistic picture is predicted for females, increasing from 43% in 2010 to 52% in 2050. Coronary heart disease, stroke, hypertension, cancers, osteoarthritis and diabetes prevalence cases are projected to at least double by 2050, reaching nearly 34,000 cases of hypertension by 2050 (per 100,000). 1% and 5% reduction in mean BMI will save over 800 prevalence cases and nearly 3,000 cases of hypertension by 2050 respectively (per 100,000). The health care costs will double from 2010 ($5.8 billion) in 2050 alone ($10.1 billion). Over 40 years costs will reach $330 billion. However, with effective interventions the costs can be reduced to $302 billion by 1% and to $273 billion by 5% reduction in mean BMI across the population.

Conclusion

Obesity rates are rapidly increasing creating a high burden of disease and associated costs. However, an effective intervention to decrease obesity by just 1% will substantially reduce obesity burden and will have a significant effect on health care expenditure.     

Relationship of BMI,Waist Circumference,and Weight Change with Use of Health Services by Older Adults

Objective: To examine the relationship of BMI, waist circumference (WC), and weight change with use of health care services by older adults. Research Methods and Procedures: This was a prospective cohort study conducted from 2001 to 2003 among 2919 persons representative of the non‐institutionalized Spanish population ≥60 years of age. Analyses were performed using logistic regression, with adjustment for age, educational level, size of place of residence, tobacco use, alcohol consumption, and presence of chronic disease. Results: Obesity (BMI ≥ 30 kg/m²) and abdominal obesity (WC >102 cm in men and >88 cm in women) in 2001 were associated with greater use of certain health care services among men and women in the period 2001–2003. Compared with women with WC ≤ 88 cm, women with abdominal obesity were more likely to visit primary care physicians [odds ratio (OR): 1.36; 95% confidence limit (CL): 1.06–1.73] and receive influenza vaccination (OR: 1.30; 95% CL: 1.03–1.63). Weight gain was not associated with greater health service use by either sex, regardless of baseline BMI. Weight loss was associated with greater health service use by obese and non‐obese subjects of both sexes. In comparison with those who reported no important weight change, non‐obese women who lost weight were more likely to visit hospital specialists (OR: 1.45; 95% CL: 1.02–2.06), receive home medical visits (OR: 1.61; 95% CL: 1.06–2.45), be hospitalized (OR: 1.88; 95% CL: 1.29–2.74), and have more than one hospital admission (OR: 2.31; 95% CL: 1.19–4.47). Discussion: Obesity and weight loss are associated with greater health service use among the elderly.     

Obesity Impacts on General Practice Appointments

Objective: To quantify the impact of obesity on the number of visits to both primary and secondary care teams. Research Methods and Procedures: The adult populations of 80 general practices throughout the United Kingdom were classified according to their BMI. We undertook a cross‐sectional survey of computer‐generated and handwritten records of 6150 obese people (BMI ≥ 30 kg/m²) and 1150 normal weight (BMI = 18.5 to 24.9 kg/m²) control subjects over an 18‐month retrospective period. Results: Obese patients made significantly more visits to the general practitioner (GP), practice nurse (PN), and hospital outpatient units than normal weight patients (all p < 0.001), and they were admitted to the hospital more often (p = 0.034). For both GP and PN visits, the relationship remained after adjusting for age, sex, social deprivation category, country, and number of comorbidities. Among obese patients, there was an increasing relationship between frequent GP visits (at least four appointments) and greater BMI, which remained significant after adjustment had been made for age, sex, deprivation, country, and number of comorbidities. Discussion: The human resource burden to general practice is significantly higher in the obese population than in the normal weight population, even when adjusted for confounding factors. The increase in prevalence of obesity will continue to put pressure on GP and PN time unless appropriate action is taken.     

Future direct and indirect costs of obesity and the influence of gaining weight: Results from the MONICA/KORA cohort studies, 1995-2005

Over the last two decades, the prevalence of obesity has risen worldwide. As obesity is a confirmed risk factor for a number of diseases, its increasing prevalence nurtures the supposition that obesity may present a growing and significant economic burden to society.The objective of this study is to analyse the correlation between body mass index (BMI) and future direct and indirect costs, as well as the correlation between changing BMI and future in(direct) costs. Health care utilisation and productivity losses were based on data from 2581 participants aged 25-65 years (1994/95) from two cross-sectional, population-representative health surveys (MONICA/KORA-survey-S3 1994/95 and follow-up KORA-survey-F3 2004/05) in Augsburg, Germany.The predicted average adjusted total direct costs per year and per user were estimated to be €1029-(healthy weight), €1093-(overweight) and €1040-(obesity). There are significantly greater future costs in the utilisation of general practitioners per user and per year at higher obesity levels (€72; €75; €96).The average total direct costs per person for those who stay in the same BMI class are €982, €1000 and €973. An overweight participant who becomes obese incurs significant costs of internists of €160 compared with those who remain overweight (€124). An overweight user incurs indirect costs of €2474, compared with €2136 for those who remain a healthy weight.There is a trend for higher predicted (in)direct costs when people are overweight or obese compared with healthy weight persons 10 years earlier. Potential cost savings could be attained if preventive programs effectively targeted these individuals.     

Relationship between Body Mass Index and the Use of Healthcare Services in Australia

Objective: To examine the relationship between body mass index (BMI) and the use of medical and preventive health services. Research Methods and Procedures: This study involved secondary analysis of weighted data from the Australian 1995 National Health Survey. The study was a population survey designed to obtain national benchmark information about a range of health‐related issues. Data were available from 17,033 men and 17,174 women, ≥20 years or age. BMI, based on self‐reported weight and height, was analyzed in relation to the use of medical services and preventive health services. Results: A positive relationship was found between BMI and medical service use, such as medication use, visits to hospital accident and emergency departments (for women only); doctor visits, visits to a hospital outpatient clinics; and visits to other health professionals (for women only). A negative relationship was found in women between BMI and preventive health services. Underweight women were found to be significantly less likely to have Papanicolaou smear tests, breast examinations, and mammograms. Discussion: This research shows that people who fall outside the healthy weight range are more likely to use a range of medical services. Given that the BMI of industrialized populations appears to be increasing, this has important ramifications for health service planning and reinforces the need for obesity prevention strategies at a population level.     

BMI,Physical Activity,and Health Care Utilization/Costs among Medicare Retirees

Objective: To examine the influence of physical activity (PA) and BMI on health care utilization and costs among Medicare retirees. Research Methods and Procedures: This cross‐sectional study was based on 42, 520 Medicare retirees in a U.S.‐wide manufacturing corporation who participated in indemnity/perferred provider and one health risk appraisal during the years 2001 and 2002. Participants were assigned into one of the three weight groups: normal weight, overweight, and obese. PA behavior was classified into three levels: sedentary (0 time/wk), moderately active (1 to 3 times/wk), and very active (4+ times/wk). Results: Generalized linear models revealed that the moderately active retirees had $1456, $1731, and $1177 lower total health care charges than their sedentary counterparts in the normal‐weight, overweight, and obese groups, respectively (p < 0.01). The very active retirees had $1823, $581, and $1379 lower costs than the moderately active retirees. Health care utilization and specific costs showed similar trends with PA levels for all BMI groups. The total health care charges were lower with higher PA level for all age groups (p < 0.01). Discussion: Regular PA has strong dose‐response effects on both health care utilization and costs for overweight/obese as well as normal‐weight people. Promoting active lifestyle in this Medicare population, especially overweight and obese groups, could potentially improve their well‐being and save a substantial amount of health care expenditures. Because those Medicare retirees are hard to reach in general, more creative approaches should be launched to address their needs and interests as well as help reduce the usage of health care system.     

Out-of-pocket health care expenditures due to excess of body weight in Portugal

The prevalence for excessive weight has also been increasing dramatically in Portugal over the last decades. The consequences for families as well as for the publicly funded Portuguese health care system are a matter of policy interest. This paper uses an econometric model to compute the fraction of the national out-of-pocket health care expenditures attributable to overweight and obesity among Portuguese adults. Given that public health care system pays for a substantial share of the national health care expenditures, the estimated the out-of-pocket expenditures is only a share of the total expenditures. Per-capita expenditures and the burden that obesity and overweight impose on families are also estimated. Two waves of the Portuguese National Health Survey (NHS), namely; 1995/1996 and 1998/1999 are considered. The results suggest that out-of-pocket expenditures due to excess weight have increased sharply during these 3 years. The two-part model estimates suggest that the obese and overweight are more likely to incur out-of-pocket health care expenditures but, in the restricted sample of those that incur expenditures, there is weak or no evidence that the obese or overweight spend, on average, more than those of normal weight. Overall, it is estimated that in 1995/1996, more than 1.8% out-of-pocket health care expenditures were attributable to obesity and 2% to overweight (although not statistically significant). The estimated percentages are over 2.9% for obesity and 4% for overweight in 1998/1999. Combined, the estimated attributable percentage of national out-of-pocket expenditures due to excess weight was 3.8% in 1995/1996 and 6.9% in 1998/1999. Per-capita expenditures due to obesity or overweight are small, on average, in absolute terms, but they can be a significant cost for low income families. With respect to public policy concerns, the results suggest that measures which only slightly increase the out-of-pocket health care expenditures of being obese (overweight) are likely to be inefficient.     

Prevalence of obese patients in a primary care setting

Objective: Previous research has addressed the relationship between BMI and chronic disease in primary care; however, little has been done with regard to the association between obesity and depression in primary care. The purpose of this paper is to assess the relationship between obesity and chronic conditions including depression. Research Methods and Procedures : Data from primary care patients seen at a university‐based family medicine clinic in the southeastern United States were extracted for the time between January 1, 1999 and January 1, 2002. Data extracted included most recent height and weight, age, ethnicity, pregnancy status, number of office visits, blood pressure, cholesterol, hemoglobin A_1C, current diagnoses, and medications. Results : A total of 8197 patients were included in the analysis. Sixty‐nine percent of patients seen in a 3‐year period were either overweight or obese. Comparing blood pressure, cholesterol, diagnoses, and medications between BMI groups found differences in virtually all categories. Diagnoses of high cholesterol, hypertension, diabetes, and depression significantly increased for obese patients. Discussion : Obese patients are over‐represented in primary care, and this over‐representation of obesity correlates with several diagnoses, including depression. Depression is a chronic disease that may interfere with health‐related behaviors and must be addressed within the health care system.