Modifiable Health Risks Research Articles

Trends in Quality-Adjusted Life-Years Lost Contributed by Smoking and Obesity

Quality-adjusted life-years (QALYs) use preference-based measurements of health-related quality-of-life (HRQOL) to provide an assessment of the overall burden of disease using a single number. This study estimated QALYs lost contributed by smoking and obesity for U.S. adults from 1993 to 2008. Population HRQOL data were from the 1993-2008 Behavioral Risk Factor Surveillance System. The QALYs lost contributed by a risk factor is the sum of QALYs lost due to morbidity in the current year and future QALYs lost in expected life-years due to premature deaths (mortality). Premature deaths were estimated from the National Health Interview Survey Linked Mortality Files and mortality statistics. From 1993 to 2008, the proportion of smokers among U.S. adults declined 18.5% whereas the proportion of obese people increased 85%. The smoking-related QALYs lost were relatively stable at 0.0438 QALYs lost per population. In 1993 the QALYs lost were much smaller for obesity compared to smoking, with obesity contributing about 0.0204 QALYs lost. However, as a result of the increasing prevalence of obesity, the contribution of obesity-related QALYs lost increased consistently and had increased by 127% in 2008 when obesity resulted in 0.0464 QALYs lost, slightly more than smoking did. Smoking had a bigger impact on mortality than morbidity, whereas obesity had a bigger impact on morbidity than mortality. This study estimated the overall burden of smoking and obesity over time and results indicate that because of the marked increase in the proportion of obese people, obesity has become an equal, if not greater, contributor to the burden of disease than smoking. Such data are essential in setting targets for reducing modifiable health risks and eliminating health disparities.

Need for Health Behavior Interventions for Young Adult Cancer Survivors

To assess the relationship between modifiable health risks (eg, unhealthy diet) and interest in interventions in a sample of young adult cancer survivors (YACS). Sixty YACS, aged 18 to 40, completed surveys. Few met recommendations for diet, exercise, or weight (ie, body mass index, BMI). Participants expressed interest in several health behavior programs, and there was a significant relationship between BMI and interest in weight loss. Findings suggest that YACS are interested in and may benefit from healthy lifestyle interventions.

Public Health in the Emergency Department: Academic Emergency Medicine Consensus Conference Executive Summary

Public Health in the Emergency Department: <i>Academic Emergency Medicine</i> Consensus Conference Executive Summary

The statewide burden of obesity, smoking, low income and chronic diseases in the United States

We developed an estimation equation of EuroQol EQ-5D index scores from the Healthy Days measures of the Centers for Disease Control and Prevention for use in burden of disease and cost-effectiveness studies in population subgroups. This study estimated EQ-5D scores, quality-adjusted life years (QALYs) and quality-adjusted life expectancy (QALE) for the USA and the individual states. We estimated the EQ-5D scores for respondents from the 2000-2003 Behavioral Risk Factor Surveillance System. We calculated QALYs and QALE lost to morbidity due to obesity/overweight, smoking, low income and chronic diseases. The mean EQ-5D score for US adults was 0.870. The mean scores ranged from 0.826 (West Virginia) to 0.902 (Hawaii). Smoking contributed from 5.6 (Utah) to 12.3 (Kentucky) percent, obesity/overweight 5.4 (South Dakota) to 13.8 (Louisiana) percent, low income 16.6 (Hawaii) to 39.9 (South Carolina) percent and chronic diseases 8.7 (Minnesota) to 22.9 (Tennessee) percent of explainable QALYs lost. These risks contributed the greatest proportion of explainable QALYs and QALE lost in Kentucky, Tennessee and South Carolina. We estimated the burden of disease contributed by selected risk factors. Currently, such data are unavailable but are needed to set targets for reducing modifiable health risks and eliminating health disparities among at-risk populations.

Can health promotion programs save Medicare money?

The impact of an aging population on escalating US healthcare costs is influenced largely by the prevalence of chronic disease in this population. Consequently, preventing or postponing disease onset among the elderly has become a crucial public health issue. Fortunately, much of the total burden of disease is attributable to conditions that are preventable. In this paper, we address whether well-designed health promotion programs can prevent illness, reduce disability, and improve the quality of life. Furthermore, we assess evidence that these programs have the potential to reduce healthcare utilization and related expenditures for the Medicare program. We hypothesize that seniors who reduce their modifiable health risks can forestall disability, reduce healthcare utilization, and save Medicare money. We end with a discussion of a new Senior Risk Reduction Demonstration, which will be initiated by the Centers for Medicare and Medicaid Services in 2007, to test whether risk reduction programs developed in the private sector can achieve health improvements among seniors and a positive return on investment for the Medicare program.

The association between work performance and physical activity, cardiorespiratory fitness, and obesity.

The purpose of this study was to test the association between lifestyle-related modifiable health risks (physical activity, cardiorespiratory fitness, and obesity) and work performance. Data were obtained from 683 workers. Dependent variables included number of work loss days, quantity and quality of work performed, overall job performance, extra effort exerted, and interpersonal relationships. Results indicated that higher levels of physical activity related to reduced decrements in quality of work performed and overall job performance; higher cardiorespiratory fitness related to reduced decrements in quantity of work performed, and a reduction in extra effort exerted to perform the work; obesity related to more difficulty in getting along with coworkers; severe obesity related to a higher number of work loss days. It is concluded that lifestyle-related modifiable health risk factors significantly impact employee work performance.

The Relationship between Modifiable Health Risks and Future Medical Care Expenditures: The Korea Medical Insurance Corporation (KMIC) Study

The relationship between lifestyle risk factors, morbidity, and mortality is well established, but the relationship between lifestyle risk factors and medical care costs is not as well defined. To determine the ability of modifiable biometric and lifestyle risk factors to predict future medical care costs. Prospective cohort study. Data on modifiable risk factors collected in 1992 and medical care costs collected in 1998 by the Korea Medical Insurance Corporation in South Korea. Data were examined for a final cohort of 78,728 men and 50,414 women enrolled in the health insurance plan from 1990 through 1998. Outcome measures included likelihood of any inpatient, outpatient, and total medical care costs and outlier costs; amount of inpatient, outpatient, and total medical care costs; and portion of total medical costs attributable to each risk factor through unadjusted and adjusted multivariate analyses. Baseline modifiable risk factors measured in 1992 (including lifestyle factors such as smoking, high body mass index, exercise, and biometric measures such as cholesterol, blood sugar, blood pressure, and urinary sugar) were important predictors of the amount of medical care costs incurred 6 years later in 1998, even after controlling for age, perceived health status, and each of the other modifiable variables. These risk factors were generally better predictors than nonmodifiable demographic risk factors, including income level and type of job. For men, lifestyle risk factors were associated with total costs that were 2.4% (for high blood pressure) to 16.1% (for former smokers) higher than among men without those risk factors. Biometric risk factors were associated with costs ranging from 9.2% (for cholesterol) to 38.2% (for positive urinary glucose) higher. For women, lifestyle risk factors were associated with total costs that were 2.5% (for exercise) to 6.4% (for current smokers) higher than among those without the risk factors. Biometric risk factors were associated with costs ranging from 10.2% (for cholesterol) to 60.4% (for positive urinary glucose) higher. For men, a cluster of six heart disease risk factors were associated with total costs 54.7% higher, and a cluster of three stroke risk factors were associated with total costs 22.2% higher than in men who had none of these risk factors. Modifiable risk factors accounted for 23.1% of medical costs for men and 8.7% for women. These results suggest that modifiable biometric and lifestyle risk factors can predict a moderate portion of future medical care costs. If these risk factors can be reduced, future medical care costs may be reduced.

Health promotion programs, modifiable health risks, and employee absenteeism.

This literature review demonstrates that the health risks and failure of employees to participate in fitness and health promotion programs are associated with higher rates of employee absenteeism. When determining how to manage absenteeism, employers should carefully consider the impact that health promotion programs can have on rates of absenteeism and other employee-related expenses.

Erratum

Anderson DR, Whitmer RW, Goetzel RZ, Ozminkowski RJ, Wasserman J, Serxner S, Health Enhancement Research Organization (HERO) Research Committee. The relationship between modifiable health risks and group-level health care expenditures. Am J Health Promot. 2000; 15: 45–52. Page 45. Rodney L. Dunn, MS, formerly with the MEDSTAGTr oup, Inc., and now with the University of Michigan Cancer Center, should have been included as the fifth author of the manuscript.

The relationship between modifiable health risks and group-level health care expenditures. Health Enhancement Research Organization (HERO) Research Committee.

To assess the relationship between modifiable health risks and total health care expenditures for a large employee group. Risk data were collected through voluntary participation in health risk assessment (HRA) and worksite biometric screenings and were linked at the individual level to health care plan enrollment and expenditure data from employers' fee-for-service plans over the 6-year study period. The setting was worksite health promotion programs sponsored by six large private-sector and public-sector employers. Of the 50% of employees who completed the HRA, 46,026 (74.7%) met all inclusion criteria for the analysis. Eleven risk factors (exercise, alcohol use, eating, current and former tobacco use, depression, stress, blood pressure, cholesterol, weight, and blood glucose) were dichotomized into high-risk and lower-risk levels. The association between risks and expenditures was estimated using a two-part regression model, controlling for demographics and other confounders. Risk prevalence data were used to estimate group-level impact of risks on expenditures. Risk factors were associated with 25% of total expenditures. Stress was the most costly factor, with tobacco use, overweight, and lack of exercise also being linked to substantial expenditures. Modifiable risk factors contribute substantially to overall health care expenditures. Health promotion programs that reduce these risks may be beneficial for employers in controlling health care costs.

Gender-specific effects of modifiable health risk factors on coronary heart disease and related expenditures. HERO Research Committee. Health Enhancement Research Organization.

There is a general lack of health-related research focusing on gender-specific differences within a working population. This research attempts to address that void. Our study relied on the Health Enhancement Research Organization (HERO) database, which consists of claims, enrollment information, and health risk data for 39,999 employees of six large employers. The research objective was to determine the gender-specific association between coronary heart disease (CHD) and (1) the prevalence of modifiable health risks and (2) medical expenditures. To accomplish this, the International Classification of Diseases, 9th Revision-Clinical Modification and Current Procedural Terminology codes were used to identify 2452 employees with CHD within the HERO database. These individuals made up the study group, which included 66% male and 34% female participants. Health risk data were obtained from voluntary participation in a health risk appraisal and biometric evaluation provided by the employers. Health risks evaluated were tobacco use, hypertension, obesity, elevated cholesterol, high blood glucose, sedentary lifestyle, stress, depression, and excessive use of alcohol. Descriptive and multivariate statistical techniques were used to analyze the HERO database. We found that obesity was the most consistent predictor of CHD. It was number one (of 10 health risks) in the male and female group, number two in the male-only group, and number one in the female-only group. High stress was the second most consistent predictor. There was no such consistency relative to medical expenditures. This lack of consistency across the male and female groups relative to the association between health risks and medical expenditures was demonstrated for nearly all other health risks evaluated. This study suggests that within a group of employees with CHD, there are important similarities and differences between men and women with respect to the prevalence of risk factors and the association between health risks and medical expenditures.

Relationship Between Modifiable Health Risks and Short-term Health Care Charges

If physical inactivity, obesity, and smoking status prove to contribute significantly to increased health care charges within a short period of time, health plans and payers may wish to invest in strategies to modify these risk factors. However, few data are available to guide such resource allocation decisions. To examine the relationship of modifiable health risks to subsequent health care charges after controlling for age, race, sex, and chronic conditions. Cohort study of a stratified random sample of 5689 adults (75.5% of total sample of 7535) aged 40 years or older who were enrolled in a Minnesota health plan and completed a 60-item questionnaire. Resource use as measured by billed health care charges from July 1, 1995, to December 31, 1996, compared by health risk (physical activity, body mass index [BMI], and smoking status). The mean annual per patient charge in the total study population was $3570 (median, $600), and 15% of patients had no charges during the study period. After adjustment-for age, race, sex, and chronic disease status, physical activity (4.7% lower health care charges per active day per week), BMI (1.9% higher charges per BMI unit), current smoking status (18% higher charges), and history of tobacco use (25.8% higher charges) were prospectively related to health care charges over 18 months. Never-smokers with a BMI of 25 kg/m2 and who participated in physical activity 3 days per week had mean annual health care charges that were approximately 49% lower than physically inactive smokers with a BMI of 27.5 kg/m2. Our data suggest that adverse health risks translate into significantly higher health care charges within 18 months. Health plans or payers seeking to minimize health care charges may wish to consider strategic investments in interventions that effectively modify adverse health risks.

Aging, Health Risks, and Cumulative Disability

Persons with lower health risks tend to live longer than those with higher health risks, but there has been concern that greater longevity may bring with it greater disability. We performed a longitudinal study to determine whether persons with lower potentially modifiable health risks have more or less cumulative disability.We studied 1741 university alumni who were surveyed first in 1962 (average age, 43 years) and then annually starting in 1986. Strata of high, moderate, and low risk were defined on the basis of smoking, body-mass index, and exercise patterns. Cumulative disability was determined with a health-assessment questionnaire and scored on a scale of 0 to 3. Cumulative disability from 1986 to 1994 (average age in 1994, 75 years) or death was the measure of lifetime disability.Persons with high health risks in 1962 or 1986 had twice the cumulative disability of those with low health risks (disability index, 1.02 vs. 0.49; P<0.001). The results were consistent among survivors, subjects who died, men, and women and for both the last year and the last two years of observation. The onset of disability was postponed by more than five years in the low-risk group as compared with the high-risk group. The disability index for the low-risk subjects who died was half that for the high-risk subjects in the last one or two years of observation.Smoking, body-mass index, and exercise patterns in midlife and late adulthood are predictors of subsequent disability. Not only do persons with better health habits survive longer, but in such persons, disability is postponed and compressed into fewer years at the end of life.

Aging, health risks, and cumulative disability.

Persons with lower health risks tend to live longer than those with higher health risks, but there has been concern that greater longevity may bring with it greater disability. We performed a longitudinal study to determine whether persons with lower potentially modifiable health risks have more or less cumulative disability. We studied 1741 university alumni who were surveyed first in 1962 (average age, 43 years) and then annually starting in 1986. Strata of high, moderate, and low risk were defined on the basis of smoking, body-mass index, and exercise patterns. Cumulative disability was determined with a health-assessment questionnaire and scored on a scale of 0 to 3. Cumulative disability from 1986 to 1994 (average age in 1994, 75 years) or death was the measure of lifetime disability. Persons with high health risks in 1962 or 1986 had twice the cumulative disability of those with low health risks (disability index, 1.02 vs. 0.49; P<0.001). The results were consistent among survivors, subjects who died, men, and women and for both the last year and the last two years of observation. The onset of disability was postponed by more than five years in the low-risk group as compared with the high-risk group. The disability index for the low-risk subjects who died was half that for the high-risk subjects in the last one or two years of observation. Smoking, body-mass index, and exercise patterns in midlife and late adulthood are predictors of subsequent disability. Not only do persons with better health habits survive longer, but in such persons, disability is postponed and compressed into fewer years at the end of life.

The relationship between modifiable health risks and health care expenditures. An analysis of the multi-employer HERO health risk and cost database.

This investigation estimates the impact of ten modifiable health risk behaviors and measures and their impact on health care expenditures, controlling for other measured risk and demographic factors. Retrospective two-stage multivariate analyses, including logistic and linear regression models, were used to follow up 46,026 employees from six large health care purchasers for up to 3 years after they completed an initial health risk appraisal. These participants contributed 113,963 person-years of experience. Results show that employees at high risk for poor health outcomes had significantly higher expenditures than did subjects at lower risk in seven of ten risk categories: those who reported themselves as depressed (70% higher expenditures), at high stress (46%), with high blood glucose levels (35%), at extremely high or low body weight (21%), former (20%) and current (14%) tobacco users, with high blood pressure (12%), and with sedentary lifestyle (10%). These same risk factors were found to be associated with a higher likelihood of having extremely high (outlier) expenditures. Employees with multiple risk profiles for specific disease outcomes had higher expenditures than did those without these profiles for the following diseases: heart disease (228% higher expenditures), psychosocial problems (147%), and stroke (85%). Compared with prior studies, the results provide more precise estimates of the incremental medical expenditures associated with common modifiable risk factors after we controlled for multiple risk conditions and demographic confounders. The authors conclude that common modifiable health risks are associated with short-term increases in the likelihood of incurring health expenditures and in the magnitude of those expenditures.

Appraisal of modifiable hospitalization risks.

Nine prevention experts rated hospitalization risks of 64 hypothetical healthy adults between 20 and 65 years old. There was substantial agreement among seven out of the nine experts. Pairwise correlations between any two of the experts ranged between 0.66 and 0.86. Decision analytic tools were used to model the average of the experts' ratings. The panel of experts provided us with the factors used, the relationship between the factors, and the relative importance of each factor. An index based on this information was highly correlated with the judgments of seven experts. Thus, we concluded that the scoring procedure can simulate the experts' judgments. Next, the index was used in an interactive computer program to assess modifiable health risks of individuals. This program is provided along with the paper to facilitate further research on validity and impact of the program.