Predicting the EuroQol Group's EQ-5D index from CDC's "Healthy Days" in a US sample.

BACKGROUND: Obtaining reliable preference-based scores from the widely used Healthy Days measures would enable calculation of quality-adjusted life years (QALYs) and cost-utility analyses in many US community populations and over time. Previous studies translating the Healthy Days to the EQ-5D, a preference-based measure, relied on an indirect method because of a lack of population-based survey data that asked both sets of questions of the same respondents. METHOD: Data from the 2005-2006 National Health Measurement Study (NHMS; n = 3844 adults 35 years old or older) were used to develop regression-based models to estimate EQ-5D index scores from self-reported age, self-rated general health, and numbers of unhealthy days. RESULTS: The models explained up to 52% of the variance in the EQ-5D. Estimated EQ-5D scores matched well to the observed EQ-5D scores in mean scores overall and by age, gender, race/ethnicity, income, education, body mass index, smoking, and disease categories. The average absolute differences were 0.005 to 0.006 on a health utility scale. After estimating mean EQ-5D index scores overall and for various subgroups in a large representative US sample of Healthy Days respondents, the authors found that these mean scores also closely matched the corresponding mean scores of EQ-5D respondents obtained from another large US representative sample with an average absolute difference of 0.013 points. CONCLUSIONS: This study yielded a mapping algorithm to estimate EQ-5D index scores from the Healthy Days measures for populations of adults 35 years old and older. Such analysis confirms it is feasible to estimate mean EQ-5D index scores with acceptable validity for use in calculating QALYs and cost-utility analyses based on the overall model fit and relatively small differences between the observed and the estimated mean scores.

County-level social environment determinants of health-related quality of life among US adults: a multilevel analysis.

To show that an individual's health-related quality of life (HRQOL) is not determined only by their personal-level characteristics, but also is socially determined by both physical and social environmental characteristics of their communities. This analysis examined the association of selected county-level indicators on respondents' unhealthy days and assessed the utility of mean unhealthy days for US counties as community health indicators. Data came from the 1999-2001 Behavioral Risk Factor Surveillance System. We used multilevel models to calculate the proportion of between-county variation in HRQOL that was explained by county-level contextual variables and examine the causal heterogeneity of some personal-level factors modified by these contextual variables. Counties with worse socioeconomic indicators, high mortality rate, and low life expectancy were associated with higher numbers of unhealthy days. These indicators explained 13-22% variance of county-level physically unhealthy days and 4.5-9.5% variance of county-level mentally unhealthy days. The GINI index, suicide rate, percent uninsured, primary care facilities-to-population ratio, and most county-level demographic and housing indicators also had significant but smaller impact on respondents' unhealthy days. Also, the counties with poorer socioeconomic scores had additional negative HRQOL impact on older persons. This study provides important new empirical information on whether various commonly-measured characteristics of the social environment, which are believed to be social determinants of health, are in fact associated with the perceived physical and mental health of its residents. Our findings provide additional support for the construct validity of county-level HRQOL as a community health indicator.

Geographic patterns of frequent mental distress: U.S. adults, 1993-2001 and 2003-2006.

BACKGROUND: Mental illnesses and other mental health problems often lead to prolonged, disabling, and costly mental distress. Yet little is known about the geographic distribution of such mental distress in the U.S. METHODS: Since 1993, the CDC has tracked self-perceived mental distress through the Behavioral Risk Factor Surveillance System (BRFSS). In 2007 and 2008, analysis was performed on BRFSS data reported by 2.4 million adults from 1993-2001 and 2003-2006 to map and describe the prevalence of frequent mental distress (FMD)-defined as having >or=14 mentally unhealthy days during the previous 30 days-for all states and for counties with at least 30 respondents. RESULTS: The adult prevalence of FMD for the combined periods was 9.4% overall, ranging from 6.6% in Hawaii to 14.4% in Kentucky. From 1993-2001 to 2003-2006, the mean prevalence of FMD increased by at least 1 percentage point in 27 states and by more than 4 percentage points in Mississippi, Oklahoma, and West Virginia. Most states showed internal geographic variations in FMD prevalence. The Appalachian and the Mississippi Valley regions had high and increasing FMD prevalence, and the upper Midwest had low and decreasing FMD prevalence. CONCLUSIONS: Geographic areas were identified with consistently high and consistently low FMD prevalence, as well as areas in which FMD prevalence changed substantially. Further evaluation of the causes and implications of these patterns is warranted. Surveillance of mental distress may be useful in identifying unmet mental health needs and disparities and in guiding health-related policies and interventions.

The associations between life satisfaction and health-related quality of life, chronic illness, and health behaviors among U.S. community-dwelling adults.

The primary purpose of this article was to examine the associations between life satisfaction level and health-related quality of life (HRQOL), chronic illness, and adverse health behaviors among adults in the U.S. and its territories. Data were obtained from the 2005 Behavioral Risk Factor Surveillance System, an ongoing, state-based, random-digit telephone survey of the noninstitutionalized U.S. population aged >or=18 years. An estimated 5.6% of U.S. adults (about 12 million) reported that they were dissatisfied/very dissatisfied with their lives. As the level of life satisfaction decreased, the prevalence of fair/poor general health, disability, and infrequent social support increased as did the mean number of days in the past 30 days of physical distress, mental distress, activity limitation, depressive symptoms, anxiety symptoms, sleep insufficiency, and pain. The prevalence of smoking, obesity, physical inactivity, and heavy drinking also increased with decreasing level of life satisfaction. Moreover, adults with chronic illnesses were significantly more likely than those without to report life dissatisfaction. Notably, all of these associations remained significant after adjusting for sociodemographic characteristics. Our findings showed that HRQOL and health risk behaviors varied with level of life satisfaction. As life satisfaction appears to encompass many individual life domains, it may be an important concept for public health research.

Black-white differences in health-related quality of life among older adults.

Very little information exists on racial differences in quality of life among older adults. In this paper, we examine black-white differences in health-related quality of life (HRQOL) and identify factors that may account for these differences. The participants were 5,986 community-dwelling persons age 65+ (62% black at baseline) from the Chicago Health and Aging Project. Poor HRQOL was defined as having 14 or more self-reported physically or mentally unhealthy days over the past 30 days. A higher proportion of blacks (11.0%) than whites (9.7%) reported poor HRQOL. After adjusting for age and sex, blacks had increased odds of reporting poor HRQOL compared with whites (odds ratio [OR] = 1.72; 95% CI: 1.50-1.98). The black-white differences in HRQOL tended to increase with age (p < 0.05) and were greater among females (p < 0.05). Lifetime socioeconomic status, summary measures of medical conditions, and cognitive function accounted for most of the black-white difference (OR = 1.06; 95% CI: 0.89-1.27). Our results suggest that racial differences in HRQOL are associated with the combined effects of social disadvantage, poor physical health, and lower cognitive function.

Relationships Between Engaging in Recommended Levels of Physical Activity and Health-Related Quality of Life Among Hypertensive Adults.

BACKGROUND: Hypertension (HTN), which affects more than 65 million Americans, is associated with poor health-related quality of life (HRQOL). Regular physical activity (PA) has been shown to reduce blood pressure and is associated with higher levels of HRQOL. METHODS: Using self-reports from 60,321 hypertensive adults age 18 y or older who participated in the 2003 Behavioral Risk Factor Surveillance Survey, we examined the independent relationship between engaging in recommended levels of moderate or vigorous PA and four measures of HRQOL developed by the Centers for Disease Control and Prevention. RESULTS: For all age and racial/ethnic groups and both sexes, the proportion of hypertensive adults with 14 or more unhealthy days (physical or mental) in the past month was significantly lower among those who attained recommended levels of PA than among physically inactive adults. CONCLUSIONS: Participation in regular PA is one of several lifestyle strategies available to control and prevent HTN. These results suggest that PA is associated with higher levels of HRQOL among adults with HTN and highlight the importance of health programs that promote participation in regular PA.

Health-related quality of life surveillance--United States, 1993-2002.

PROBLEM/CONDITION: Population-based surveillance of health-related quality of life (HRQOL) is needed to promote the health and quality of life of U.S. residents and to monitor progress in achieving the two overall Healthy People 2010 goals: 1) increase the quality and years of healthy life and 2) eliminate health disparities. REPORTING PERIOD: This report examines surveillance-based HRQOL data from 1993 through 2002. DESCRIPTION OF SYSTEM: Survey data from a validated set of HRQOL measures (CDC HRQOL-4) were analyzed for 1993-2001 from the Behavioral Risk Factor Surveillance System (BRFSS) surveys for the 50 states and the District of Columbia (DC) and for 2001-2002 from the National Health and Nutrition Examination Survey (NHANES). These measures assessed self-rated health; physically unhealthy days (i.e., the number of days during the preceding 30 days for which physical health, including physical illness and injury, was not good); mentally unhealthy days (i.e., the number of days during the preceding 30 days for which mental health, including stress, depression, and problems with emotions, was not good); and days with activity limitation (i.e., number of days during the preceding 30 days that poor physical or mental health prevented normal daily activities). A summary measure of overall unhealthy days also was computed from the sum of a respondent's physically unhealthy and mentally unhealthy days, with a maximum of 30 days. RESULTS AND INTERPRETATION: During 1993-2001, the mean number of physically unhealthy days, mentally unhealthy days, overall unhealthy days, and activity limitation days was higher after 1997 than before 1997. During 1993-1997, the percentage of respondents with zero overall unhealthy days was stable (51%-53%) but declined to 48% by 2001. The percentage of respondents with >/=14 overall unhealthy days increased from 15%-16% during 1993-1997 to 18% by 2001. Adults increasingly rated their health as fair or poor and decreasingly rated it as excellent or very good. Women, American Indians/Alaska Natives, persons of "other races," separated or divorced persons, unmarried couples, unemployed persons, those unable to work, those with a <$15,000 annual household income, and those with less than a high school education reported worse HRQOL (i.e., physically unhealthy days, mentally unhealthy days, overall unhealthy days, and activity limitation days). Older adults reported more physically unhealthy days and activity limitation days, whereas younger adults reported more mentally unhealthy days. A seasonal pattern was observed in physically unhealthy days and overall unhealthy days. During 1993-2001, BRFSS respondents in 13 states reported increasing physically unhealthy days; respondents in 13 states and DC reported increasing mentally unhealthy days; respondents in Alabama, Connecticut, Maine, New Jersey, New Mexico, North Carolina, and Oregon reported both increasing physically and mentally unhealthy days; and respondents in 16 states and DC reported increasing activity limitation days. During 2001-2002, NHANES respondents with one or more medical conditions (e.g., arthritis or stroke) reported worse HRQOL than those without such conditions, and those with an increasing number of medical conditions reported increasingly worse HRQOL. PUBLIC HEALTH ACTION: Policy makers and researchers should continue to monitor HRQOL and its correlates in the U.S. population. In addition, public health professionals should expand monitoring to populations currently missed by existing surveys, including institutionalized and homeless persons, adolescents, and children. A key aspect is to study and identify the personal and community determinants of HRQOL in prevention research and population studies, to understand how to improve HRQOL, and to reduce HRQOL disparities. In addition, population health assessment professionals should continue to refine and validate HRQOL, functional status, and self-reported health measures.

Tracking Healthy Days -- a window on the health of older adults.

In collaboration with its partners in the public health and aging services communities, the Centers for Disease Control and Prevention (CDC) Health Care and Aging Studies Branch has developed and validated a brief set of health-related quality of life (CDC HRQOL) measures for tracking the perceived physical and mental health of adults over time. For the past 12 years, these measures -- also called the Healthy Days measures -- have been used in an expanding set of population health surveys, surveillance systems, performance report cards, and evaluation studies, and they have provided useful disease and disability burden data to inform decision making and provide new insights for prevention research. Although now used continuously to assess health-related quality of life for Americans aged 12 years and older, the measures and population data have been especially valuable in applications affecting older adults, for which health-related quality of life is an outcome of primary importance. The CDC HRQOL measures are recommended to public health and social service professionals as a feasible way to assess perceived physical and mental health needs of older adults and to document the effects of policies and interventions.

Inequalities in self-reported physical health in the United States, 1993-1999.

This study investigated inequalities in physically healthy days in the United States during 1993-1999, by socioeconomic and demographic group. The generalized entropy GE(2) and other indices were computed using data from the Behavioral Risk Factor Surveillance System survey, 1993-1999. The results indicate that GE(2) for the US population increased by 17% during 1993-1999. Low-to-middle income groups had the highest increases in inequalities during this time (51-66%), whereas the least educated, Asian/Pacific Islanders, American Indians/Alaska Natives, the oldest, the youngest, and the richest had the lowest (-14-10%). In 1999, inequalities ranged from 0.0153 (income>or=$50 000) to 0.112 (income<$10 000). Inequalities have increased during 1993-1999 and vary substantially across groups. The American Indians/Alaska Natives experienced the highest inequalities whereas Asians/Pacific-Islanders exhibited the lowest inequalities. More attention should be given to within-group inequalities.

Frequent mental distress status among adults with arthritis age 45 years and older, 2001.

OBJECTIVE: To identify characteristics and behaviors among persons with arthritis through evaluation of self-perceived mental health status. METHODS: Data were analyzed for adults with arthritis age 45 years or older from the 2001 Behavioral Risk Factor Surveillance System, an ongoing, state-based, random-digit-dialed telephone survey of noninstitutionalized adults living in the United States. RESULTS: The prevalence of frequent mental distress (FMD; > or =14 self-reported mentally unhealthy days in the past 30 days) among persons with arthritis was 13.4%. Among persons with arthritis, those with FMD as compared with those without FMD were more likely to be underweight and obese than normal weight; they also were more likely to be insufficiently active or inactive than following recommended physical activity guidelines. In addition, those with arthritis and FMD were more likely to report disability and impaired physical and general health than were those with arthritis but without FMD. CONCLUSION: Physicians should encourage their patients with arthritis and mental distress to participate in educational and behavioral interventions shown to have both physical and psychological benefits.

Worsening trends in adult health-related quality of life and self-rated health-United States, 1993-2001.

OBJECTIVES: Health-related quality of life and self-rated health complement mortality and morbidity as measures used in tracking changes and disparities in population health. The objectives of this study were to determine whether and how health-related quality of life and self-rated health changed overall in U.S. adults and in specific sociodemographic and geographic groups from 1993 through 2001. METHODS: The authors analyzed data from annual cross-sectional Behavioral Risk Factor Surveillance System surveys of 1.2 million adults from randomly selected households with telephones in the 50 states and the District of Columbia. RESULTS: Mean physically and mentally unhealthy days and activity limitation days remained constant early in the study period but increased later on. Mean unhealthy days increased about 14% during the study period. The percentage with fair or poor self-rated health increased from 13.4% in 1993 to 15.5% in 2001. Health-related quality of life and self-rated health worsened in most demographic groups, especially adults 45-54 years old, high school graduates without further education, and those with annual household incomes less than $50,000. However, adults 65 years old or older and people identified as non-Hispanic Asian/Pacific Islander reported stable or improving health-related quality of life and self-rated health. In 18 of the states and the District of Columbia, mean unhealthy days increased, while only North Dakota reported a decrease. CONCLUSION: Population tracking of adult health-related quality of life and self-rated health identified worsening trends overall and for many groups, suggesting that the nation's overall health goals as identified in the Healthy People planning process are not being met.

Sad, blue, or depressed days, health behaviors and health-related quality of life, Behavioral Risk Factor Surveillance System, 1995-2000.

BACKGROUND: Mood disorders are a major public health problem in the United States as well as globally. Less information exists however, about the health burden resulting from subsyndromal levels of depressive symptomatology, such as feeling sad, blue or depressed, among the general U.S. population. METHODS: As part of an optional Quality of Life survey module added to the U.S. Behavioral Risk Factor Surveillance System, between 1995-2000 a total of 166,564 BRFSS respondents answered the question, "During the past 30 days, for about how many days have you felt sad, blue, or depressed?" Means and 95% confidence intervals for sad, blue, depressed days (SBDD) and other health-related quality of life (HRQOL) measures were calculated using SUDAAN to account for the BRFSS's complex sample survey design. RESULTS: Respondents reported a mean of 3.0 (95% CI = 2.9-3.1) SBDD in the previous 30 days. Women (M = 3.5, 95% CI = 3.4-3.6) reported a higher number of SBDD than did men (M = 2.4, 95% CI = 2.2-2.5). Young adults aged 18-24 years reported the highest number of SBDD, whereas older adults aged 60-84 reported the fewest number. The gap in mean SBDD between men and women decreased with increasing age. SBDD was associated with an increased prevalence of behaviors risky to health, extremes of body mass index, less access to health care, and worse self-rated health status. Mean SBDD increased with progressively higher levels of physically unhealthy days, mentally unhealthy days, unhealthy days, activity limitation days, anxiety days, pain days, and sleepless days. CONCLUSION: Use of this measure of sad, blue or depressed days along with other valid mental health measures and community indicators can help to assess the burden of mental distress among the U.S. population, identify subgroups with unmet mental health needs, inform the development of targeted interventions, and monitor changes in population levels of mental distress over time.

Determinants of quality of life among people with asthma: findings from the Behavioral Risk Factor Surveillance System.

Asthma is a major contributor to impaired quality of life in the U.S. population. Little is known about population-based determinants of quality of life among people with asthma, however. Using data from the 2000 Behavioral Risk Factor Surveillance System, we examined the associations between selected sociodemographic, behavioral, and other determinants and quality of life among 12,111 participants with current asthma. In multiple logistical regression models, three variables--employment status, smoking status, and physical activity--were significantly associated with all measures of impaired quality of life (poor or fair health, > or = 14 physically unhealthy days, > 14 mentally unhealthy days, > or = 14 activity limitation days, or > or = 14 physically or mentally unhealthy days). Education was significantly and inversely related to impaired quality of life for all measures except activity limitation days. Men were less likely than women to report having > or = 14 physically unhealthy days, > or = 14 mentally unhealthy days, or > or = 14 physically or mentally unhealthy days. Compared with whites, Hispanics were more likely to report being in poor or fair health, and African Americans were less likely to report having > or = 14 physically unhealthy days or > or = 14 physically or mentally unhealthy days. In addition, participants with lower incomes were more likely to report impaired quality of life for three measures (general health status, > or = 14 physically unhealthy days, and activity limitation days). The heaviest participants were more likely to be in poor or fair health or to report having more > or = 14 physically unhealthy days, or > or = 14 physically or mentally unhealthy days. Insurance coverage and the time since their last routine checkup were not significantly associated with any of the quality-of-life measures. These results show that three potentially modifiable factors (smoking status, physical activity, body mass index) are associated with quality of life among persons with asthma. Furthermore, among people with asthma, the elderly, women, poorly educated, and low-income participants are especially likely to experience impaired quality of life.

Diabetes mellitus and health-related quality of life among older adults. Findings from the behavioral risk factor surveillance system (BRFSS).

The aim of the present study was to examine associations between the presence of diabetes mellitus and health-related quality of life (HRQOL) among older adults. Using data from 37,054 adults aged 50 years or older who participated in the 2001 BRFSS, we examined the independent association between diabetes and four measures of HRQOL developed by the U.S. Centers for Disease Control and Prevention. Multivariate logistic regression was used to obtain adjusted odds ratios (ORs) and 95% confidence intervals (CIs). On average, older adults with diabetes reported nearly twice as many unhealthy days (physical or mental) as those without the condition (mean: 10.1 [S.E.: 0.32] versus 5.7 [0.43]) after age adjustment. The proportion of older adults reporting 14 or more unhealthy days (physical or mental) was significantly higher among those with diabetes (n = 4032; 11%) compared to those without the condition (OR: 1.64; 95% CI: 1.20, 2.23) after multivariate adjustment. Among older diabetic adults, the adjusted relative odds of having 14 or more unhealthy days (physical or mental) was 1.71 (95% CI: 1.31, 2.22) times greater for those treated with insulin compared to those not treated with insulin. Diabetes is independently associated with lower levels of HRQOL among older adults. These results reinforce the importance of preventing diabetes and its complications through health education messages stressing a balanced diet and increased physical activity.

Risk behaviors and healthcare coverage among adults by frequent mental distress status, 2001.

BACKGROUND: Given the increased emphasis on chronic diseases in the United States, physicians and health survey analysts are now gathering information on patients' subjective measures of health, also known as health-related quality-of-life measures. Studies indicate that these measures can be more powerful predictors of chronic disease-related morbidity and mortality than objective measures. METHODS: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed telephone survey of the non-institutionalized U.S. population aged 18 years or older. This study examined frequent mental distress (FMD), defined as self-reported 14 or more mentally unhealthy days in the past 30 days, and its association with adverse health behaviors and lack of healthcare coverage. RESULTS: In 2001, approximately 10% of adults reported FMD. Persons reporting FMD had a higher prevalence of smoking, drinking heavily, physical inactivity, and obesity than did persons without FMD. They were also more often without healthcare coverage. In addition, persons with FMD were more likely to engage in multiple adverse behaviors than were persons without FMD. CONCLUSIONS: Persons reporting FMD are at higher risk of chronic diseases because they engage in risky health behaviors and lack healthcare coverage. This study provides further support that mental health screening as well as physical health screening is important in clinical practice. Further research is needed to identify therapeutic or mental health-promoting interventions to reduce mental distress and reinforce healthy behaviors.

Binge drinking and health-related quality of life: do popular perceptions match reality?

BACKGROUND: Popular culture (movies, television shows, advertising) often portrays drinking to the point of intoxication as either humorous or associated with enjoyable social activities that enhance quality of life. This study examined the association between binge drinking (consuming five or more alcoholic drinks on one occasion) and health-related quality of life (HRQOL) among U.S. adults. METHODS: Data are from the Behavioral Risk Factor Surveillance System, a continuous random-digit-dial telephone survey of adults aged >/=18 years conducted in all states. This survey included questions about alcohol consumption and HRQOL. RESULTS: In 2001, 52% of U.S. adults were current drinkers (one or more drinks in the past 30 days). Of current drinkers, 11% were frequent binge drinkers (three or more episodes in past month) and 14% were infrequent binge drinkers (one to two episodes in past month). After adjusting for confounding factors, frequent binge drinkers were more likely than non-binge drinkers to experience >/=14 unhealthy days (physical or mental) in the past month (adjusted odds ratio [AOR]=1.39, 95% confidence interval [CI]=1.24-1.56), primarily because they had more mentally unhealthy days than non-binge drinkers (AOR=1.52, 95% CI=1.32-1.75). CONCLUSIONS: Frequent binge drinking is associated with significantly worse HRQOL and mental distress, including stress, depression, and emotional problems. Effective interventions to prevent binge drinking should be widely adopted and may help improve quality of life.

Associations between short- and long-term unemployment and frequent mental distress among a national sample of men and women.

Unemployment has been associated with poor psychologic well-being. Using data from the 2001 Behavioral Risk Factor Surveillance System, we examined relationships between unemployment and frequent mental distress (FMD), defined as 14 or more mentally unhealthy days during the previous 30 days, among 98,267 men and women aged 25-64 years. The age-standardized prevalence of FMD was 6.6% (standard error, 0.14) among employed adults, 14.0% (2.00) among adults unemployed >1 year, and 15.5% (1.18) among those unemployed <1 year. After adjustment, the relative odds of FMD were 2.09 (95% confidence interval [CI] = 1.75-2.50) for adults unemployed <1 year and 1.88 (95% CI = 1.31-2.71) for adults unemployed >1 year compared with employed adults. Similar patterns were observed across gender, race/ethnicity, education, income, and area unemployment groups. Unemployed persons are a population in need of public health intervention to reduce the burden of mental distress. Public health officials should work with government officials to incorporate the health consequences of unemployment into economic policymaking.

Associations between recommended levels of physical activity and health-related quality of life. Findings from the 2001 Behavioral Risk Factor Surveillance System (BRFSS) survey.

BACKGROUND: Although the benefits of regular physical activity on morbidity and mortality are established, relationships between recommended levels of physical activity and health-related quality of life (HRQOL) have not been described. The authors examined whether recommended levels of physical activity were associated with better HRQOL and perceived health status. METHODS: Using data from 175,850 adults who participated in the 2001 Behavioral Risk Factor Surveillance System survey, the authors examined the independent relationship between recommended levels of moderate or vigorous physical activity and four measures of HRQOL developed by the U.S. Centers for Disease Control and Prevention. Multivariate logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs) adjusted for age, race/ethnicity, sex, education, smoking status, and body mass index. RESULTS: The proportion of adults reporting 14 or more unhealthy days (physical or mental) was significantly lower among those who attained recommended levels of physical activity than physically inactive adults for all age, racial/ethnic, and sex groups. After multivariate adjustment, the relative odds of 14 or more unhealthy days (physical or mental) in those with the recommended level of activity compared to physically inactive adults was 0.67 (95% CI: 0.60, 0.74) for adults aged 18-44 years, 0.40 (95% CI: 0.36, 0.45) for adults aged 45-64 years, and 0.41 (95% CI: 0.36, 0.46) for adults aged 65 years or older. The results persist even among adults with a chronic condition such as arthritis. CONCLUSIONS: These results highlight the need for health programs to increase participation in regular physical activity.

The Centers for Disease Control and Prevention's Healthy Days Measures - population tracking of perceived physical and mental health over time.

To promote the health and quality of life of United States residents, the U.S. Department of Health and Human Services' Centers for Disease Control and Prevention (CDC) - with 54 state and territorial health agencies - has supported population surveillance of health-related quality of life (HRQOL). HRQOL was defined as "perceived physical and mental health over time." Commonly-used measures of health status and activity limitation were identified and a set of "Healthy Days" HRQOL measures was developed and validated. A core set of these measures (the CDC HRQOL-4) asks about self-rated general health and the number of recent days when a person was physically unhealthy, mentally unhealthy, or limited in usual activities. A summary measure combines physically and mentally unhealthy days. From 1993 to 2001, more than 1.2 million adults responded to the CDC HRQOL-4 in each state-based Behavioral Risk Factor Surveillance System (BRFSS) telephone interview. More than one fifth of all BRFSS respondents also responded to a set of related questions - including five items that assess the presence, main cause and duration of a current activity limitation, and the need for activity-related personal and routine care; as well as five items that ask about recent days of pain, depression, anxiety, sleeplessness, and vitality. The Healthy Days surveillance data are particularly useful for finding unmet health needs, identifying disparities among demographic and socioeconomic subpopulations, characterizing the symptom burden of disabilities and chronic diseases, and tracking population patterns and trends. The full set of 14 Healthy Days Measures (the CDC HRQOL-14) has shown good measurement properties in several populations, languages, and settings. The brief standard CDC HRQOL-4 is now often used in surveys, surveillance systems, prevention research, and population health report cards.

Health related quality of life among adults reporting arthritis: analysis of data from the Behavioral Risk Factor Surveillance System, US, 1996-99.

OBJECTIVE: To characterize health related quality of life (HRQOL) among people with and without self-reported arthritis in the general population by selected demographic and behavior characteristics. METHODS: We analyzed data from a cross sectional random-digit telephone survey [the Behavioral Risk Factor Surveillance System (BRFSS)] of civilian noninstitutionalized adults aged 18 years or older from 15 states and Puerto Rico, all of which used an optional arthritis survey module for one or more years from 1996 through 1999. We compared HRQOL among people with arthritis, defined as chronic joint symptoms (CJS) or doctor-diagnosed arthritis, those within one of 3 arthritis subgroups (i.e., only doctor-diagnosed arthritis, only CJS, and both doctor-diagnosed arthritis and CJS), and those without arthritis. RESULTS: On an age-adjusted basis, respondents with arthritis had significantly worse HRQOL than respondents without arthritis. Members of all 3 arthritis subgroups had significantly worse HRQOL than those without arthritis. Those with both CJS and doctor-diagnosed arthritis had consistently worse HRQOL than those with only CJS, who in turn had worse HRQOL than those with only doctor-diagnosed arthritis. In some of the demographic and behavioral subgroups, HRQOL differences between those with and without arthritis greatly exceeded the differences for the overall study. CONCLUSION: Because many adults report arthritis and because arthritis substantially worsens their HRQOL, HRQOL measures like those in the BRFSS may be useful in monitoring the burden of arthritis and in tracking the success of population interventions for arthritis.