Washington State Behavioral Risk Factor Research Articles

Health, Economic, and Social Disparities among Lesbian, Gay, Bisexual, and Sexually Diverse Adults: Results from a Population-Based Study

We investigated health, economic, and social disparities among lesbian, gay, bisexual, and sexually diverse adults, 18 years and older. Analyzing 2011–2019 Washington State Behavioral Risk Factor Surveillance System (N = 109,527), we estimated and compared the prevalence rates of background characteristics, economic and social indicators, health outcomes, chronic conditions, health care access, health behaviors, and preventive care by gender and sexual identity. Sexual minority adults reported heightened risks of poor general health, physical and mental health, disability, subjective cognitive decline, and financial barriers to health care, compared with their straight counterparts. Economic disparities and disability were evident for lesbians and both bisexual adult women and men. We found higher rates of smoking and excessive drinking among lesbians and bisexual women, and higher rates of smoking and living alone among gay men. Sexually diverse adults experience disparities in health care access. This study is one of the first to identify disparities among sexually diverse populations, in addition to lesbian, gay, and bisexual adults. More research is required to understand the mechanisms of disparities within these groups to address their distinct intervention needs.

Health, economic and social disparities among transgender women, transgender men and transgender nonbinary adults: Results from a population-based study

We investigated health, economic, and social disparities among transgender adults (transgender women, men, and nonbinary) aged 18 years and older. Using population-based data from the Washington State Behavioral Risk Factor Surveillance System (WA-BRFSS), we pooled 2016 through 2019 data (n = 47,894). We estimated weighted distributions and prevalence by gender identity for background characteristics, economic, social and health indicators. We performed regressions of these indicators on gender identity, including transgender versus cisgender adults and transgender nonbinary adults compared to cisgender adults, followed by subgroup analyses: transgender women and men compared to each cisgender group and to one another, adjusting for covariates. Compared to cisgender adults, transgender adults overall were significantly younger and lower income with less education; more likely single with fewer children; and had several elevated health risks, including poor physical and mental health, and higher rates of chronic conditions and disability. Alternatively, transgender men and women had higher rates of flu vaccination than cisgender men. Between transgender subgroups, transgender men and transgender nonbinary adults were younger than transgender women; transgender men were significantly less likely married or partnered than transgender women; and, transgender women were more likely to live alone than nonbinary respondents. This is one of the first population-based studies to examine both between and within subgroup disparities among cisgender, transgender binary, and transgender nonbinary adults, revealing patterns of inequities across subgroups. More research understanding the mechanisms of these disparities and the development of targeted interventions is needed to address the unique needs of subgroups of transgender people.

Using Behavioral Risk Factor Surveillance System Data as an Occupational Health Profile: Washington State Janitors, 2011 to 2017.

Janitorial workers have a high burden of occupational injury and illness, but little information exists on their overall health. Data from the Washington State Behavioral Risk Factor Surveillance System (BRFSS) were analyzed to characterize the working population of Janitors in Washington State from 2011 to 2017 (n = 490) as compared with all other workers (n = 38,885). Compared with other workers, Janitors were significantly more diverse, had lower socioeconomic status, and reported poorer general health and higher rates of arthritis and depression. Janitors were less likely to have adequate sleep, health insurance, and access to technology. Janitors reported higher rates of smoking and marijuana use. Multiple risk factors compound the vulnerability of Janitors. BRFSS data can be used to characterize the health of occupational groups. Identifying overall health needs can better inform policy and help formulate strategies to improve workers' health.

Firearm Ownership, Storage Practices, and Suicide Risk Factors in Washington State, 2013-2016.

To characterize firearm ownership and storage practices in Washington State and assess their relationship with suicide risk factors. Using Washington State Behavioral Risk Factor Surveillance System data for 2013 to 2016, we conducted survey-weighted multivariable Poisson regression models to obtain prevalence ratios (PRs) and confidence intervals (CIs). Of 34 884 adult respondents, 34.3% (95% CI = 33.7%, 35.0%) reported a firearm in their household, among whom 36.6% (95% CI = 35.4%, 37.7%) stored their firearm locked and unloaded. There were no differences in mental health indicators by firearm ownership or storage practice status. Binge and chronic alcohol use were somewhat more prevalent among adults from firearm-owning households (PR = 1.2; 95% CI = 1.1, 1.3; PR = 1.2; 95% CI = 1.1, 1.4, respectively) and among those living in households not practicing safe storage (PR = 1.4; 95% CI = 1.2, 1.7; PR = 1.9; 1.5, 2.3, respectively). Variability in mental health does not explain the substantial increased suicide risk among individuals in firearm-owning households. Greater prevalence of alcohol misuse among adults in firearm-owning households not practicing safe storage highlights the need for suicide prevention interventions.

Latino residential segregation and self-rated health among Latinos: Washington State Behavioral Risk Factor Surveillance System, 2012–2014

The relationship between Latino residential segregation and self-rated health (SRH) is unclear, but might be partially affected by social capital. We investigated the association between Latino residential segregation and SRH while also examining the roles of various social capital measures. Washington State Behavioral Risk Factor Surveillance System (2012–2014) and U.S. Census data were linked by zip code and zip code tabulation area. Multilevel logistic regression models were used to estimate odds of good or better SRH by Latino residential segregation, measured by the Gini coefficient, and controlling for sociodemographic, acculturation and social capital measures of neighborhood ties, collective socialization of children, and social control. The Latino residential segregation – SRH relationship was convex, or ‘U’-shaped, such that increases in segregation among Latinos residing in lower segregation areas was associated with lower SRH while increases in segregation among Latinos residing in higher segregation areas was associated with higher SRH. The social capital measures were independently associated with SRH but had little effect on the relationship between Latino residential segregation and SRH. A convex relationship between Latino residential segregation and SRH could explain mixed findings of previous studies. Although important for SRH, social capital measures of neighborhood ties, collective socialization of children, and social control might not account for the relationship between Latino residential segregation and SRH.

Housing Insecurity and the Association With Health Outcomes and Unhealthy Behaviors, Washington State, 2011.

Few studies of associations between housing and health have focused on housing insecurity and health risk behaviors and outcomes. We measured the association between housing insecurity and selected health risk behaviors and outcomes, adjusted for socioeconomic measures, among 8,415 respondents to the 2011 Washington State Behavioral Risk Factor Surveillance System. Housing insecure respondents were about twice as likely as those who were not housing insecure to report poor or fair health status or delay doctor visits because of costs. This analysis supports a call to action among public health practitioners who address disparities to focus on social determinants of health risk behaviors and outcomes.

Childhood adversity, adult homelessness and the intergenerational transmission of risk: a population‐representative study of individuals in households with children

AbstractThis study tested for associations between childhood adversity, adult homelessness and contexts of developmental risk in households with children. Data were drawn from the 2010 Washington State Behavioral Risk Factor Surveillance System, representative of the population of Washington State residents. Considering adults in households with children, those who experienced higher levels of childhood adversity were more likely to have experienced homelessness in adulthood. Meanwhile, a 10‐factor index of cumulative developmental risk was independently associated with childhood adversity and with adult homelessness. Adult homelessness appears to represent a circumstance through which past childhood adversities are brought forward and associated with contexts of developmental risk for subsequent generations of children.

Distribution of asthma by occupation: Washington State Behavioral Risk Factor Surveillance System Data, 2006–2009

Objective: To estimate the prevalence of asthma in workers by occupation in Washington State. Methods: Data from the 2006–2009 Behavioral Risk Factor Surveillance System (BRFSS) and the BRFSS Asthma Call-Back Survey (ACBS) in Washington State (WA) were analyzed. Using state-added and coded Industry and Occupation questions, we calculated prevalence ratios (PRs) for 19 occupational groups. Results: Of the 41 935 respondents who were currently employed during 2006–2009, the prevalence of current asthma was 8.1% [95% confidence interval (CI) 7.8–8.5%] When compared with the reference group of executive, administration and managerial occupations, three occupational groups had significantly (p < 0.05) higher PRs of current asthma: “Teachers, all levels, and Counselors’ (PR 1.3, 95% CI 1.1–1. 6%); ‘Administrative Support, including Clerical” (PR 1. 5, 95% CI 1.2–1.9%); and “Other Health Services” (PR 1.5, 95% CI 1.2–1.9). Half of the 2511 ACBS respondent workers (55.1%) indicated that they believed exposure at work had caused or worsened their asthma, but only 10.7% had ever spoken with a health care professional about their asthma being work related. Conclusions: Some occupations have a higher prevalence of current asthma than other occupations. The systematic collection of industry and occupation data can help identify worker populations with a high burden of asthma and can be used to target disease prevention efforts as well as to aid clinician recognition and treatment. Workers indicated that work-related asthma exposures are not discussed with their health care provider and this communication gap has implications for asthma management.

Relationship among adverse childhood experiences, history of active military service, and adult outcomes: homelessness, mental health, and physical health.

We determined whether a report of adverse childhood experiences predicts adult outcomes related to homelessness, mental health, and physical health and whether participation in active military service influences the relationship between childhood and adult adversity. Using data from the 2010 Washington State Behavioral Risk Factor Surveillance System, we tested by means of logistic regression the relationship between adverse childhood experiences and 3 adult outcomes--homelessness, mental health, and physical health--as well as differences among those with a history of active military service. Adverse childhood experiences separately predicted increased odds of experiencing homelessness as an adult and mental health and physical health problems. Childhood adversity increased the likelihood of adult homelessness and poor physical health among individuals with no history of active military service and the likelihood of mental health problems among individuals with a history of active military service. The relationship between childhood adversity and adult adversity changes in degree when history of active military service is controlled, which has implications for Armed Forces recruitment strategies and postmilitary service risk assessment.

Health Disparities Among Lesbian, Gay, and Bisexual Older Adults: Results From a Population-Based Study

We investigated health disparities among lesbian, gay, and bisexual (LGB) adults aged 50 years and older. We analyzed data from the 2003-2010 Washington State Behavioral Risk Factor Surveillance System (n = 96 992) on health outcomes, chronic conditions, access to care, behaviors, and screening by gender and sexual orientation with adjusted logistic regressions. LGB older adults had higher risk of disability, poor mental health, smoking, and excessive drinking than did heterosexuals. Lesbians and bisexual women had higher risk of cardiovascular disease and obesity, and gay and bisexual men had higher risk of poor physical health and living alone than did heterosexuals. Lesbians reported a higher rate of excessive drinking than did bisexual women; bisexual men reported a higher rate of diabetes and a lower rate of being tested for HIV than did gay men. Conclusions. Tailored interventions are needed to address the health disparities and unique health needs of LGB older adults. Research across the life course is needed to better understand health disparities by sexual orientation and age, and to assess subgroup differences within these communities.

Nonresponse to a question on self-identified sexual orientation in a public health survey and its relationship to race and ethnicity.

We examined whether nonresponse to the survey question on self-identified sexual orientation was associated with race and ethnicity, utilizing Washington State Behavioral Risk Factor Surveillance System data. The results of adjusted multinomial logistic regression indicated that the nonresponse rates of Asian Americans, Hispanics, and African Americans are higher than those of non-Hispanic Whites. Innovative ways of measuring sexual orientation to reduce racially and ethnically driven bias need to be developed and integrated into public health surveys.

Health Disparities Among Childrearing Women with Disabilities

This study examines leading health indicators for childrearing women with disabilities, including health-related quality of life, chronic health conditions, adverse and preventive health behaviors, health care access, and social and emotional support. The study analyzes aggregated data from the Washington State Behavioral Risk Factor Surveillance System (n=28,629). The weighted prevalence of key health indicators of childrearing women with disabilities (aged 18-59) are compared with childrearing women without disabilities. A series of adjusted logistic regression analyses are applied, controlling for confounding variables. When compared to childrearing women without disabilities, childrearing women with disabilities are less likely to have a partner or spouse, report lower income and education levels and are older. Childrearing women with disabilities, compared to childrearing women without disabilities, report significantly lower health-related quality of life including poor general health (adjusted odds ratio[AOR]=6.85; p<.001), frequent mental distress (AOR=4.02; p<.001), and frequent poor physical health (AOR=9.34; p<.001); higher prevalence of chronic health conditions, including arthritis, cardiovascular diseases, diabetes, asthma, high blood pressure and cholesterol, and obesity (the range of AORs=1.59 to 5.65; p<.001); higher prevalence of adverse health behaviors including smoking (AOR=2.14; p<.001) and lack of exercise (AOR=1.61; p<.001); more financial barriers to health care (AOR=2.11; p<.001) and lack of social and emotional support (AOR=2.05; p<.001) while controlling for age, education, income, and relationship status. Based on population level data, the study reveals that childrearing women with disabilities experience elevated risks of health disparities across many key health indicators, many of which are preventable and modifiable. These findings underscore the importance of identifying contributing factors and developing interventions to improve the health and quality of life of childrearing women with disabilities.

Understanding sexual orientation health disparities in smoking: A population-based analysis.

Lesbian, gay, and bisexual populations are at elevated risk for tobacco use compared to their heterosexual peers. However, there is little research examining reasons for this disparity. Drawing on prior literature regarding psychosocial variables associated with both sexual orientation and smoking, the authors tested a path model of risk and protective factors to help explain sexual orientation differences in smoking using data from the Washington State Behavioral Risk Factor Surveillance System from 2003 to 2007. The authors estimated separate models for men and women, comparing lesbians or gays and bisexuals to heterosexuals. Results indicated that the explanatory variables accounted for most of the variance in this relationship, with both risk-enhancing and risk-reducing pathways. Mental health, life dissatisfaction, alcohol use, exposure to tobacco marketing, and single relationship status were risk enhancers for most LGB participants. Health-care access and income level were risk enhancers for bisexual participants only. Neither emotional support nor attitudes and knowledge about tobacco use helped explain the relationship between sexual orientation and smoking. These findings have significant implications for tobacco prevention and control efforts in this high-risk population.

Disability Among Lesbian, Gay, and Bisexual Adults: Disparities in Prevalence and Risk

We used population-based data to comprehensively examine disability among lesbian, gay, and bisexual adults. We estimated prevalence of disability and its covariates and compared by sexual orientation by utilizing data from the Washington State Behavioral Risk Factor Surveillance System (n = 82,531) collected in 2003, 2005, 2007, and 2009. We used multivariate logistic regression to examine the relationship between disability and sexual orientation, after we controlled for covariates of disability. Findings indicated that the prevalence of disability is higher among lesbian, gay, and bisexual adults compared with their heterosexual counterparts; lesbian, gay, and bisexual adults with disabilities are significantly younger than heterosexual adults with disabilities. Higher disability prevalence among lesbians and among bisexual women and men remained significant after we controlled for covariates of disability. Higher rates of disability among lesbian, gay, and bisexual adults are of major concern. Efforts are needed to prevent, delay, and reduce disabilities as well as to improve the quality of life for lesbian, gay, and bisexual adults with disabilities. Future prevention and intervention efforts need to address the unique concerns of these groups.

Hispanic Lesbians and Bisexual Women at Heightened Risk or Health Disparities

We investigated whether elevated risks of health disparities exist in Hispanic lesbians and bisexual women aged 18 years and older compared with non-Hispanic White lesbians and bisexual women and Hispanic heterosexual women. We analyzed population-based data from the Washington State Behavioral Risk Factor Surveillance System (2003-2009) using adjusted logistic regressions. Hispanic lesbians and bisexual women, compared with Hispanic heterosexual women, were at elevated risk for disparities in smoking, asthma, and disability. Hispanic bisexual women also showed higher odds of arthritis, acute drinking, poor general health, and frequent mental distress compared with Hispanic heterosexual women. In addition, Hispanic bisexual women were more likely to report frequent mental distress than were non-Hispanic White bisexual women. Hispanic lesbians were more likely to report asthma than were non-Hispanic White lesbians. The elevated risk of health disparities in Hispanic lesbians and bisexual women are primarily associated with sexual orientation. Yet, the elevated prevalence of mental distress for Hispanic bisexual women and asthma for Hispanic lesbians appears to result from the cumulative risk of doubly disadvantaged statuses. Efforts are needed to address unique health concerns of diverse lesbians and bisexual women.

Does tobacco industry marketing excessively impact lesbian, gay and bisexual communities?

Background:Tobacco industry documents have revealed marketing plans specifically to reach lesbian, gay and bisexual (LGB) populations. Research supports a causal linkage between receptivity and exposure to tobacco industry marketing and...

Distribution of secondary medical problems, impairments, and participation limitations among adults with disabilities and their relationship to health and other outcomes

Background The purpose of this study was to describe the distribution and relationship of 16 secondary medical problems, impairments, and participation limitations among adults with disabilities to demographic characteristics, self-reported health, satisfaction with life, and social participation. Methods Data were analyzed for 4175 respondents to the disability supplements of the 2001 and 2003 Washington State Behavioral Risk Factor Surveillance Survey Disability Supplement. Results Of persons with disabilities, 87% reported at least 1 secondary medical problem, impairment, or participation limitation, with a mean of 4.1. Conditions were unevenly distributed in the 73% of those with disabilities with more than 1 condition: a cluster of one-fourth of this group had an average of 9.7 conditions and the remaining three-fourths averaged 3.9 conditions, with no strong correlations among conditions in either cluster. Number and type of condition were related to age, gender, income, and social participation among people with disabilities and explained part of the relationship of disability status to health and life satisfaction. Conclusion The data provide evidence that prevention and treatment of secondary medical problems, impairments, and participation limitations may reduce disability-related disparities in health and well-being.

Underreporting of Work-Related Injury or Illness to Workers??? Compensation: Individual and Industry Factors

We quantified the underreporting of work-related injury or illness to workers' compensation (WC). Using data from 2612 wage-earning respondents who participated in the 2002 Washington State Behavioral Risk Factor Surveillance System, we assessed work-related injury or illness in the previous year and identified the factors associated with WC claim filing by logistic regression. The self-reported rate of work-related injury or illness of respondents was 13%. Among those who had a work-related injury or illness, 52% filed a WC claim. After adjustment for age, gender, and race, those who filed WC claims were more likely to be overweight and married. WC claim filing varies considerably across industry and occupation groups holding all other measured factors constant. Individual and industry/occupation factors are related to underreporting of work-related injury or illness to the WC system.

Inclusion of people with disabilities in telephone health surveillance surveys.

Telephone survey data are widely used to describe population health, but some fear that people with disabilities cannot participate. We tested the hypothesis that a telephone survey would underrepresent adults with disabilities, and that the adults with disabilities who responded would report lower prevalences of sensory, mental, self-care, and multiple limitations than those observed in people with disabilities in the general population. We compared characteristics of adults with disabilities identified by the 2001 Washington State Behavioral Risk Factor Surveillance Survey (BRFSS) to Washington adults with disabilities in the Census 2000 Supplementary Survey (C2SS), to 2 BRFSS Disability Supplements, and to the Washington State Population Survey. All except the C2SS are telephone surveys. Contrary to expectations, post hoc analyses of all telephone surveys found significantly higher prevalence of disability in the Washington adult population than did the C2SS. The hypothesis of more sensory, mental, and self-care limitation in telephone disability samples was supported in only 2 of 11 instances in which a disability sample was asked about 1 of these limitations. Findings were not explained by differences in disability definition or type of informant. These results suggest that population telephone surveys do not underrepresent adults with disabilities. The counterintuitive finding of their higher survey participation raises further questions.

Childhood family violence history and women’s risk for intimate partner violence and poor health

Background There is growing evidence for associations between generations in family violence and between family violence in both childhood and adulthood and women’s health. Most studies focus on a subset of family violence (child abuse, witnessing intimate partner violence [IPV] as a child, and/or adult IPV), and few examine possible differences associated with the nature of abusive experiences, such as physical versus sexual abuse. Methods A population-based telephone survey, the 1999 and 2001 Washington State Behavioral Risk Factor Surveillance System, asked a representative sample of 3527 English-speaking, non-institutionalized adult women whether they had been physically or sexually assaulted or witnessed interparental violence in childhood, and whether they had experienced physical assault or emotional abuse from an intimate partner in the past year. The survey also asked about current general health and mental distress in the past month. Results The risks associated with childhood family violence experiences varied depending on the nature of those experiences. Women reporting childhood physical abuse or witnessing interparental violence were at a four- to six-fold increase in risk of physical IPV, and women reporting any of the experiences measured were at three- to four-fold increase in risk of partner emotional abuse. In contrast, women reporting childhood sexual abuse only were not at increased risk of physical IPV. Women reporting childhood physical abuse were at increased risk of poor physical health, and women reporting any type of childhood family violence were at increased risk of frequent mental distress. Approximately one third of women reporting poor general health and half of women reporting frequent mental distress also reported at least one of the childhood experiences measured. Conclusions These findings underscore the role of childhood experiences of abuse and of witnessing family violence in women’s current risk for IPV, poor physical health, and frequent mental distress.