Treatment of Major Depressive Disorder with Iyengar Yoga and Coherent Breathing: A Randomized Controlled Dosing Study.

Objectives: The aims of this study were to assess the effects of an intervention of Iyengar yoga and coherent breathing at five breaths per minute on depressive symptoms and to determine optimal intervention yoga dosing for future studies in individuals with major depressive disorder (MDD). Methods: Subjects were randomized to the high-dose group (HDG) or low-dose group (LDG) for a 12-week intervention of three or two intervention classes per week, respectively. Eligible subjects were 18-64 years old with MDD, had baseline Beck Depression Inventory-II (BDI-II) scores ≥14, and were either on no antidepressant medications or on a stable dose of antidepressants for ≥3 months. The intervention included 90-min classes plus homework. Outcome measures were BDI-II scores and intervention compliance. Results: Fifteen HDG (Mage=38.4±15.1 years) and 15 LDG (Mage=34.7±10.4 years) subjects completed the intervention. BDI-II scores at screening and compliance did not differ between groups (p=0.26). BDI-II scores declined significantly from screening (24.6±1.7) to week 12 (6.0±3.8) for the HDG (-18.6±6.6; p < 0.001), and from screening (27.7±2.1) to week 12 (10.1±7.9) in the LDG (-17.7±9.3; p < 0.001). There were no significant differences between groups, based on response (i.e., >50% decrease in BDI-II scores; p=0.65) for the HDG (13/15 subjects) and LDG (11/15 subjects) or remission (i.e., number of subjects with BDI-II scores <14; p=1.00) for the HDG (14/15 subjects) and LDG (13/15 subjects) after the 12-week intervention, although a greater number of subjects in the HDG had 12-week BDI-II scores ≤10 (p=0.04). Conclusion: During this 12-week intervention of yoga plus coherent breathing, depressive symptoms declined significantly in patients with MDD in both the HDG and LDG. Both groups showed comparable compliance and clinical improvements, with more subjects in the HDG exhibiting BDI-II scores ≤10 at week 12.

Treatment of Major Depressive Disorder with Iyengar Yoga and Coherent Breathing: A Randomized Controlled Dosing Study.

OBJECTIVES: The aims of this study were to assess the effects of an intervention of Iyengar yoga and coherent breathing at five breaths per minute on depressive symptoms and to determine optimal intervention yoga dosing for future studies in individuals with major depressive disorder (MDD). METHODS: Subjects were randomized to the high-dose group (HDG) or low-dose group (LDG) for a 12-week intervention of three or two intervention classes per week, respectively. Eligible subjects were 18-64 years old with MDD, had baseline Beck Depression Inventory-II (BDI-II) scores ≥14, and were either on no antidepressant medications or on a stable dose of antidepressants for ≥3 months. The intervention included 90-min classes plus homework. Outcome measures were BDI-II scores and intervention compliance. RESULTS: Fifteen HDG (Mage = 38.4 ± 15.1 years) and 15 LDG (Mage = 34.7 ± 10.4 years) subjects completed the intervention. BDI-II scores at screening and compliance did not differ between groups (p = 0.26). BDI-II scores declined significantly from screening (24.6 ± 1.7) to week 12 (6.0 ± 3.8) for the HDG (-18.6 ± 6.6; p < 0.001), and from screening (27.7 ± 2.1) to week 12 (10.1 ± 7.9) in the LDG (-17.7 ± 9.3; p < 0.001). There were no significant differences between groups, based on response (i.e., >50% decrease in BDI-II scores; p = 0.65) for the HDG (13/15 subjects) and LDG (11/15 subjects) or remission (i.e., number of subjects with BDI-II scores <14; p = 1.00) for the HDG (14/15 subjects) and LDG (13/15 subjects) after the 12-week intervention, although a greater number of subjects in the HDG had 12-week BDI-II scores ≤10 (p = 0.04). CONCLUSION: During this 12-week intervention of yoga plus coherent breathing, depressive symptoms declined significantly in patients with MDD in both the HDG and LDG. Both groups showed comparable compliance and clinical improvements, with more subjects in the HDG exhibiting BDI-II scores ≤10 at week 12.

Independent state health surveys: responding to the need for local population health data.

CONTEXT: There is high demand for local-level population health data. A national system of state and local data collection would help improve both population health and health care delivery. The primary source of state-level population health data for adults is the Behavioral Risk Factor Surveillance System. However, many states need data on children and adolescents, racial and ethnic subpopulations, consistent estimates for localities, or more in-depth information on key topics than the Behavioral Risk Factor Surveillance System provides. Eleven state health surveys (SHSs) have emerged in an effort to address these gaps. DESIGN: Semistructured telephone interviews were conducted in 2009 with representatives of 9 SHSs. The interviews were recorded, and data were transcribed, organized, and analyzed according to the query structure. This analysis identified (1) the core elements of SHS that have been successful in meeting needs for local data and (2) the processes and strategies used by state officials in creating these surveys. RESULTS: Key findings include the following: (1) SHSs provide concrete data on local health issues that meet the needs of policy makers who wish to adopt evidence-based public health policies; (2) data from SHSs allow researchers to identify issues, apply for grants, and evaluate, assess, and track health indicators; (3) a "champion" is required to build the case for a survey and push through barriers to obtain funding and stakeholder buy-in; and (4) SHSs face challenges such as inconsistent funding and lack of uniform standards. CONCLUSION: Opportunities to support SHSs include (1) identifying sustained funding sources; (2) providing technical assistance and facilitating training to foster best practices, quality standards, and comparability across states; and (3) supporting an organization for SHS researchers to share resources, information, and experiences.

The effects of the Great Recession on health insurance: changes in the uninsured population from 2007 to 2009.

The economic recession that began in California in 2008 did not affect all counties equally. Using data from several years of the California Health Interview Survey, this policy brief examines the differences between 2007 and 2009 for the populations who were uninsured "for all or part of the prior year." During this time period, counties with high unemployment and lower household income saw the highest growth in the uninsured population, due to a large drop in job-based coverage and only a small increase in public coverage. Compared to the uninsured population in California in 2007, Californians who were uninsured for all or part of 2009 were older, more likely to be U.S.-born citizens, had lower household incomes, and were more likely to be unemployed and looking for work.

States' use of local population health data: comparing the Behavioral Risk Factor Surveillance System and independent state health surveys.

OBJECTIVES: To identify and compare key features of independent comprehensive state health surveys (SHS) with those of the Behavioral Risk Factor Surveillance System (BRFSS) for addressing the need for statewide and local population health data. METHODS: We developed inclusion criteria, systematically collected information about federal and SHS that met these criteria, and obtained supplemental information from SHS leaders. RESULTS: We identified comprehensive independent SHS in 11 states and BRFSS surveys in all 50 states. The independent SHS meet important statewide and local data needs, filling 3 key health data gaps in the BRFSS: lack of adequate data on special populations such as children, lack of data on specific localities, and limited depth and scope of health topics surveyed on key issues such as health insurance coverage. Unlike BRFSS, independent SHS have limited comparability with each other. CONCLUSIONS: The BRFSS and independent SHS each meet some key state and local data needs but result in data gaps and inefficient use of resources. Surveys could more effectively and efficiently meet future needs for comparable data to monitor health care reform and address health disparities if they were coordinated across states and at the national, state, and local levels.

Occupation as an independent risk factor for binge drinking.

BACKGROUND: Understanding associations between binge drinking and occupation is important from economic and public health perspectives. OBJECTIVE: While unadjusted differences in binge drinking by occupation have been reported previously, this study tests these differences after adjusting for important common determinants. METHODS: To assess the relationship between occupation and binge drinking after adjusting for worker characteristics, a probit model was fit to data from 29,785 working-age respondents to the 2005 California Health Interview Survey. Unadjusted and adjusted marginal effects are reported. Professionals, the largest employed category, were the referent. RESULTS: Professionals had a binge drinking risk of 16.6%. Before adjustment, workers in several occupational groups had higher risk compared to professionals, including those in installation (15.2 percentage points higher; 95% CI: 9.2, 21.1), construction (14.8 percentage points higher; 95% CI: 10.4, 19.2), and sales (6.9 percentage points higher; 95% CI: 4.0, 9.9), while those without employment had a 6.6 point lower risk (95% CI: -8.4, -4.9). After adjustment, workers employed in installation were 6.7 points (95% CI: 1.8, 11.7), construction 4.8 points (95% CI: 1.0, 8.6), and salespersons 5.3 points (95% CI: 2.8, 7.7) more likely to binge drink relative to professionals. No significant adjusted differences in risk between professionals and those without a job were found. CONCLUSIONS: This study demonstrates binge drinking varies significantly across occupations. Adjusting for worker characteristics accounted for much of the unadjusted relationship between employment in physically demanding occupations (e.g., installation, construction) and binge drinking. Distinguishing between occupation- and employee-level determinants of alcohol misuse may improve employee assistance programs and preventive services.

Uncorrected refractive error among first-grade students of different racial/ethnic groups in southern California: results a year after school-mandated vision screening.

CONTEXT: The California Department of Education requires that kindergartners receive vision screening in preparation for school. Information is not available in the literature, however, on the prevalence of and factors associated with uncorrected refractive error (ie, the lack of eyeglasses), which is the primary cause of decreased visual acuity in children, among first-grade students of different racial/ethnic groups in California. OBJECTIVE: To determine the proportion of first-grade students with decreased visual acuity who need eyeglasses but do not have any and whether the lack of eyeglasses is associated with racial/ethnic and other factors. SETTING: Three school districts in Southern California. PARTICIPANTS: The University of California, Los Angeles Mobile Eye Clinic examined the eyes of 11 332 first-grade students over a 7-year period. Statistical analyses included adjusted logistic regression and linear trend models. FINDINGS: Among 11 332 first-grade students, 6973 (61.5%) were Latino, 1511 (13.3%) were Asian/Pacific Islander, 1422 (12.5%) were African American, 310 (2.7%) were non-Hispanic white, and 1116 (9.8%) were from other or mixed races/ethnicities. The prevalence of decreased visual acuity was 8.0%; 95% of children with decreased visual acuity (858 of 906 children) lacked eyeglasses that would have helped them attain normal vision. The lack of eyeglasses was more common in boys and African American/Latino children compared with that in girls and non-Hispanic white children, respectively. The percentage of children lacking eyeglasses over the years exhibited an increasing linear trend (R = 0.86). CONCLUSIONS: Most first-grade students with decreased visual acuity, especially African American and Latino children, need eyeglasses but do not have any. Interventions to correct decreased visual acuity in first-grade students are important because the first grade is a period of critical academic development.

Underinsurance in the United States: an interaction of costs to consumers, benefit design, and access to care.

Underinsurance is most commonly defined as the state in which people with medical coverage are still exposed to financial risk. We argue that the adequacy of health insurance coverage should also be assessed in terms of the adequacy of specific benefits coverage and access to care. Underinsurance can be understood conceptually as comprising three separate domains: (a) the economic features of health insurance, (b) the benefits covered, and (c) access to health services. The literature provides ample evidence that people who are underinsured have high financial risk and face barriers in access to care similar to those who are completely uninsured. In response to the growing recognition of the problems associated with underinsurance, the Patient Protection and Affordable Care Act of 2010 includes numerous provisions designed to limit costs to consumers, to assure a minimum set of benefits, and to enhance access to care, especially primary care.

Mental health status and use of mental health services by California adults.

In 2005, nearly one in five adults in California, about 4.9 million people, said they needed help for a mental or emotional health problem. Approximately one in 25, or over one million Californians, reported symptoms associated with serious psychological distress (SPD). Of those adults with either perceived need or SPD, only one in three reported visiting a mental health professional for treatment. This policy brief, based on data from the 2005 California Health Interview Survey (CHIS 2005), presents the first comprehensive overview of mental health status and service use in California, and highlights differences by age, gender, race/ethnicity, income and insurance status. It also demonstrates the critical need for continued efforts to expand mental health services and threats to such services caused by the ongoing state budget crisis.

Growing cell-phone population and noncoverage bias in traditional random digit dial telephone health surveys.

OBJECTIVE: Examine the effect of including cell-phone numbers in a traditional landline random digit dial (RDD) telephone survey. DATA SOURCES: The 2007 California Health Interview Survey (CHIS). DATA COLLECTION METHODS: CHIS 2007 is an RDD telephone survey supplementing a landline sample in California with a sample of cell-only (CO) adults. STUDY DESIGN: We examined the degree of bias due to exclusion of CO populations and compared a series of demographic and health-related characteristics by telephone usage. PRINCIPAL FINDINGS: When adjusted for noncoverage in the landline sample through weighting, the potential noncoverage bias due to excluding CO adults in landline telephone surveys is diminished. Both CO adults and adults who have both landline and cell phones but mostly use cell phones appear different from other telephone usage groups. Controlling for demographic differences did not attenuate the significant distinctiveness of cell-mostly adults. CONCLUSIONS: While careful weighting can mitigate noncoverage bias in landline telephone surveys, the rapid growth of cell-phone population and their distinctive characteristics suggest it is important to include a cell-phone sample. Moreover, the threat of noncoverage bias in telephone health survey estimates could mislead policy makers with possibly serious consequences for their ability to address important health policy issues.

How does acculturation affect the use of complementary and alternative medicine providers among Mexican- and Asian-Americans?

Researchers have found that immigrants in the United States gradually relinquish cultural practices and adopt health behaviors similar to native born individuals as they acculturate. Few studies have looked at acculturation and Complementary and Alternative Medicine (CAM) use, particularly ethnic forms of CAM. This study uses data from the 2001 California Health Interview Survey-Complementary and Alternative Medicine (CHIS-CAM) supplement to estimate the prevalence of CAM provider use among Mexican- and Asian- Americans and examine the relationship of acculturation on use. Multinomial logistic regression models were used to predict the probability of provider use based on socio-demographic variables, health status and acculturation. Mexican- and Asian- Americans who have spent more time in the US were more likely to use chiropractors or massage therapists compared to no CAM provider. Both groups were less likely to use ethnic-specific CAM providers with more time in the US compared to chiropractors or massage therapists.

Exploring nonresponse bias in a health survey using neighborhood characteristics.

OBJECTIVES: We examined potential nonresponse bias in a large-scale, population-based, random-digit-dialed telephone survey in California and its association with the response rate. METHODS: We used California Health Interview Survey (CHIS) data and US Census data and linked the two data sets at the census tract level. We compared a broad range of neighborhood characteristics of respondents and nonrespondents to CHIS. We projected individual-level nonresponse bias using the neighborhood characteristics. RESULTS: We found little to no substantial difference in neighborhood characteristics between respondents and nonrespondents. The response propensity of the CHIS sample was similarly distributed across these characteristics. The projected nonresponse bias appeared very small. CONCLUSIONS: The response rate in CHIS did not result in significant nonresponse bias and did not substantially affect the level of data representativeness, and it is not valid to focus on response rates alone in determining the quality of survey data.

Association between prior experiences of discrimination and patients' attitudes towards health care providers collecting information about race and ethnicity.

BACKGROUND: Previously, we reported a high level of comfort among Californians for collecting race/ethnicity information by health care providers (HCPs). However, minorities were less comfortable providing race/ethnicity information and were more worried than non-Hispanic whites about the potential misuse of this information. OBJECTIVE: To determine if perceived experiences of discrimination (both in general and in medical care) were associated with comfort providing race/ethnicity information, and conversely, to worry about providing the information. DESIGN AND PARTICIPANTS: Telephone survey of 480 Californians, including 101 whites, 98 Asians, 173 Hispanics, 82 blacks, and 26 multiracial individuals. MEASUREMENTS: Comfort level giving HCPs information about race/ethnicity (measured on a 1-10 scale, with text anchors of "very uncomfortable" at 1 and "very comfortable" at 10), worry that the information could be used to discriminate against patients, and worry that the information could be used to find undocumented immigrants. Worry was measured using a four-point Likert scale- not worried at all, a little worried, somewhat worried, and very worried. Respondents were also asked about perceived discrimination in general and perceived discrimination in medical care. RESULTS: Compared to whites, Hispanics (Beta-coefficient (BC) = -1.16, SE = 0.51) and Mandarin/Cantonese-speaking Asians (BC = -1.40, SE = 0.65) reported significantly less comfort giving HCPs information about their race/ethnicity, while blacks (BC = 0.70, SE = 0.16), Hispanics (BC = 0.91, SE = 0.18), and multiracial individuals (BC = 0.63, SE = 0.24) were significantly more worried that race/ethnicity information could be used to discriminate against them. Adjusting for perceived experiences of discrimination in general and in medical care partially explained the higher discomfort and worry among minorities. CONCLUSIONS: Perceived experiences of discrimination are associated with greater discomfort and worry about providing race/ethnicity data. Health care institutions should consider how they can address the public's concerns about possible misuses of data.

The effects of varying periods of uninsurance on children's access to health care.

OBJECTIVE: Many studies have documented the adverse consequences of uninsurance for children, but less is known about the differential effects of varying periods of uninsurance. This study examines the relative effects of varying periods of uninsurance (uninsured for 1-4 months, 5-11 months, or all year) on children's access to care. METHODS: Using data from the 2005 California Health Interview Survey Children's File (ages 0-11), we estimated logistic regressions to examine the effect of insurance status on 6 measures of health care access, controlling for child demographics, child health status, family characteristics, and urban residence. Indicators for insurance status included the following categories: (1) privately insured all year (reference); (2) Medicaid all year; (3) State Children's Health Insurance Program all year; (4) uninsured for 1 to 4 months; (5) uninsured for 5 to 11 months; (6) uninsured all year; and (7) other insurance all year. RESULTS: We found that children who experience short spells of uninsurance (1-4 months) are less likely to have a usual source of care and are more likely to experience delays in needed care than those with continuous private or public insurance. The consequences are even worse for children who experience more substantial periods of uninsurance, because they are also less likely to receive preventive care (well-child visits and flu shots) or visit the doctor during the year and are more likely to experience delays in receiving needed medical care and prescriptions than those with continuous coverage. The Medicaid program and State Children's Health Insurance Program in California both seem to have ensured levels of health care access similar to that obtained by children with year-round private coverage. CONCLUSIONS: These findings highlight the benefits gained through continuous health insurance, whether public or private. Public policies should be adopted to ensure continuity of coverage and retention in public insurance programs.

Sociodemographic, family, and environmental factors associated with active commuting to school among US adolescents.

Active commuting (non-motorized transport) to school can be an important source of physical activity for children and adolescents. This research examined sociodemographic, family, and environmental characteristics associated with active commuting to or from school among 3,451 US adolescents aged 12-17 years, who responded to the 2005 California Health Interview Survey. Logistic regression results indicated that those more likely to actively commute were males, Latinos, from lower-income families, attending public school, living in urban areas, and living closer to school. Adolescents without an adult present after school and those whose parents know little about their whereabouts after school were also more likely to actively commute. Parental walking for transportation and perceptions of neighborhood safety were not associated with adolescent active commuting. Important family and individual correlates of walking or biking to school among adolescents were identified, even after adjusting for distance to school and urbanicity.

A mixed-methods approach to developing a self-reported racial/ethnic discrimination measure for use in multiethnic health surveys.

OBJECTIVE: The development of measures of self-reported racial/ethnic discrimination is an active area of research, but few measures have been validated across multiple racial/ethnic and language groups. Our goal is to develop and evaluate a discrimination measure that is appropriate for use in surveys of racially and ethnically diverse populations. METHODS: To develop our measure, we employ a mixed-methods approach for survey research, drawing from both qualitative and quantitative traditions, including literature review, cognitive testing, psychometric analyses, behavior coding as well as two rounds of field testing using a split-sample design. We tested our new measure using two different approaches to elicit self-reported experiences of racial/ethnic discrimination. RESULTS: Our new measure captures four dimensions of racial/ethnic discrimination: 1) frequency of encounters with discrimination across several domains (eg, medical care, school, work, street and other public places); 2) timing of exposure (eg recent, lifetime); 3) appraisal of discrimination as stressful; and 4) responses to discrimination. CONCLUSIONS: Because of the growing interest in measurement of racial/ethnic discrimination in health surveys, we think this report on the methods informing the development and testing of the discrimination module that will be used on the California Health Interview Survey would be useful to other researchers. The application of mixed methods to rigorously test the validity and reliability of our instrument proves to be a good roadmap for measuring racial/ethnic discrimination in multicultural and multilingual populations.

Uncontrolled asthma means missed work and school, emergency department visits for many Californians.

In 2005, three million Californians reported that they had current asthma. Despite advances in therapy, asthma remains a disease that is not optimally controlled in many Californians. Inadequately controlled asthma can result in missed work and school and emergency department visits. Asthma was responsible for an estimated 1.9 million missed days of school and two million days of missed work in California in 2005. In addition, more than 475,000 children and adults in California went to the emergency department or urgent care center because of asthma. There are 659,000 children and adults who suffer from asthma symptoms every day or every week (22% of those with current asthma). These Californians suffering from frequent asthma symptoms have higher rates of missing school or work due to their asthma, visiting the emergency department or urgent care for their asthma, and rating their overall health as fair or poor. Improvements in access to health care, asthma management and avoidance of triggers can help these Californians reduce the severity of their asthma burden. Using data from the 2005 California Health Interview Survey (CHIS 2005), this policy brief examines the burden associated with frequent asthma symptoms among those with current asthma, and identifies key opportunities for reducing and controlling disease activity in these asthma sufferers. Asthma is a chronic disease that causes the airways of the lungs to become inflamed and more sensitive to constriction, making it harder to breathe. Current asthma refers to people who have been diagnosed with asthma and who report they still have asthma, or have had an episode or attack in the previous year. Frequent asthma symptoms are defined as experiencing asthma symptoms every day or every week.

Switching health insurance and its effects on access to physician services.

BACKGROUND: This study examines the factors associated with discontinuous health insurance coverage without periods of uninsurance during the past year (ie, switching coverage), and whether it has a detrimental effect on basic access to care. RESEARCH DESIGN: We analyze the 2003 California Health Interview Survey samples of adults, ages 19-64 (n = 32,850) and children, ages 0-18 (n = 13,062), using weighted bivariate and multivariate analyses. We stratified the population first by age (modeling adults separately from children) and then by health status (modeling the full population and the population reporting fair or poor health separately). RESULTS: Income, race/ethnicity, age, gender, and rural status were significant factors associated with switching coverage. Adults who switched insurance had significantly reduced odds of having a usual source of care [odds ratio (OR) = 0.63, P < 0.001)] compared with those with continuous coverage. In addition, adults and children who switched coverage were significantly more likely to report delaying care because of cost or insurance issues (adults: OR = 1.65, P < 0.001; children: OR = 2.00, P < 0.001). Children in fair or poor health who switched insurance coverage had much higher odds of reporting a delay in care (OR = 5.48, P < 0.001). CONCLUSIONS: Children and adults had disruptions in their basic access to health care when they experienced discontinuous insurance. These findings highlight the advantages of retention of enrollees as one means of promoting access to health care, in the short term, and the benefit of a continuous national health insurance program in the long term.