Racial and Ethnic Disparities in the Prevalence of Stress and Worry, Mental Health Conditions, and Increased Substance Use Among Adults During the COVID-19 Pandemic - United States, April and May 2020.

In 2019, approximately 51 million U.S. adults aged ≥18 years reported any mental illness,* and 7.7% reported a past-year substance use disorder† (1). Although reported prevalence estimates of certain mental disorders, substance use, or substance use disorders are not generally higher among racial and ethnic minority groups, persons in these groups are often less likely to receive treatment services (1). Persistent systemic social inequities and discrimination related to living conditions and work environments, which contribute to disparities in underlying medical conditions, can further compound health problems faced by members of racial and ethnic minority groups during the coronavirus disease 2019 (COVID-19) pandemic and worsen stress and associated mental health concerns (2,3). In April and May 2020, opt-in Internet panel surveys of English-speaking U.S. adults aged ≥18 years were conducted to assess the prevalence of self-reported mental health conditions and initiation of or increases in substance use to cope with stress, psychosocial stressors, and social determinants of health. Combined prevalence estimates of current depression, initiating or increasing substance use, and suicidal thoughts/ideation were 28.6%, 18.2%, and 8.4%, respectively. Hispanic/Latino (Hispanic) adults reported a higher prevalence of psychosocial stress related to not having enough food or stable housing than did adults in other racial and ethnic groups. These estimates highlight the importance of population-level and tailored interventions for mental health promotion and mental illness prevention, substance use prevention, screening and treatment services, and increased provision of resources to address social determinants of health. How Right Now (Qué Hacer Ahora) is an evidence-based and culturally appropriate communications campaign designed to promote and strengthen the emotional well-being and resiliency of populations adversely affected by COVID-19-related stress, grief, and loss (4).

Racial and Ethnic Differences in Parental Attitudes and Concerns About School Reopening During the COVID-19 Pandemic - United States, July 2020.

In light of the disproportionate risk of hospitalization and death attributable to coronavirus disease 2019 (COVID-19) among racial and ethnic minority groups, parental attitudes and concerns regarding school reopening were assessed by race and ethnicity using data from three online CARAVAN omnibus surveys conducted during July 8-12, 2020, by ENGINE Insights.* Survey participants included 858 parents who had children and adolescents in kindergarten through grade 12 (school-aged children) living in their household. Overall, 56.5% of parents strongly or somewhat agreed that school should reopen this fall, with some differences by race/ethnicity: compared with 62.3% of non-Hispanic White (White) parents, 46.0% of non-Hispanic Black or African American (Black) parents (p = 0.007) and 50.2% of Hispanic parents (p = 0.014) agreed that school should reopen this fall. Fewer White parents (62.5%) than Hispanic (79.5%, p = 0.026) and non-Hispanic parents of other racial/ethnic groups (66.9%, p = 0.041) were supportive of a mask mandate for students and staff members. Understanding parental attitudes and concerns is critical to informing communication and messaging around COVID-19 mitigation. Families' concerns also highlight the need for flexible education plans and equitable resource provision so that youth education is not compromised.

Comparing the historical limits method with regression models for weekly monitoring of national notifiable diseases reports.

To compare the performance of the standard Historical Limits Method (HLM), with a modified HLM (MHLM), the Farrington-like Method (FLM), and the Serfling-like Method (SLM) in detecting simulated outbreak signals. We used weekly time series data from 12 infectious diseases from the U.S. Centers for Disease Control and Prevention's National Notifiable Diseases Surveillance System (NNDSS). Data from 2006 to 2010 were used as baseline and from 2011 to 2014 were used to test the four detection methods. MHLM outperformed HLM in terms of background alert rate, sensitivity, and alerting delay. On average, SLM and FLM had higher sensitivity than MHLM. Among the four methods, the FLM had the highest sensitivity and lowest background alert rate and alerting delay. Revising or replacing the standard HLM may improve the performance of aberration detection for NNDSS standard weekly reports.

Chronic conditions and household preparedness for public health emergencies: Behavioral Risk Factor Surveillance System, 2006-2010.

INTRODUCTION: Individuals with chronic conditions often experience exacerbation of those conditions and have specialized medical needs after a disaster. Less is known about the level of disaster preparedness of this particular population and the extent to which being prepared might have an impact on the risk of disease exacerbation. The purpose of this study was to examine the association between self-reported asthma, cardiovascular disease, and diabetes and levels of household disaster preparedness. METHODS: Data were analyzed from 14 US states participating in the 2006-2010 Behavioral Risk Factor Surveillance System (BRFSS), a large state-based telephone survey. Chi-square statistics and adjusted prevalence ratios were calculated. RESULTS: After adjusting for sociodemographic characteristics, as compared to those without each condition, persons with cardiovascular disease (aPR = 1.09; 95% CI, 1.01-1.17) and diabetes (aPR = 1.13; 95% CI, 1.05-1.22) were slightly more likely to have an evacuation plan and individuals with diabetes (aPR = 1.04; 95% CI, 1.02-1.05) and asthma (aPR = 1.02; 95% CI, 1.01-1.04) were slightly more likely to have a 3-day supply of prescription medication. There were no statistically significant differences in the prevalence for all other preparedness measures (3-day supply of food and water, working radio and flashlight, willingness to leave during a mandatory evacuation) between those with and those without each chronic condition. CONCLUSION: Despite the increased morbidity and mortality associated with chronic conditions, persons with diabetes, cardiovascular disease, and asthma were generally not more prepared for natural or man-made disasters than those without each chronic condition.

Change in health insurance coverage in Massachusetts and other New England States by perceived health status: potential impact of health reform.

OBJECTIVES: We examined the impact of Massachusetts health reform and its public health component (enacted in 2006) on change in health insurance coverage by perceived health. METHODS: We used 2003-2009 Behavioral Risk Factor Surveillance System data. We used a difference-in-differences framework to examine the experience in Massachusetts to predict the outcomes of national health care reform. RESULTS: The proportion of adults aged 18 to 64 years with health insurance coverage increased more in Massachusetts than in other New England states (4.5%; 95% confidence interval [CI] = 3.5%, 5.6%). For those with higher perceived health care need (more recent mentally and physically unhealthy days and activity limitation days [ALDs]), the postreform proportion significantly exceeded prereform (P < .001). Groups with higher perceived health care need represented a disproportionate increase in health insurance coverage in Massachusetts compared with other New England states--from 4.3% (95% CI = 3.3%, 5.4%) for fewer than 14 ALDs to 9.0% (95% CI = 4.5%, 13.5%) for 14 or more ALDs. CONCLUSIONS: On the basis of the Massachusetts experience, full implementation of the Affordable Care Act may increase health insurance coverage especially among populations with higher perceived health care need.

Association between perceived insufficient sleep, frequent mental distress, obesity and chronic diseases among US adults, 2009 behavioral risk factor surveillance system.

BACKGROUND: Although evidence suggests that poor sleep is associated with chronic disease, little research has been conducted to assess the relationships between insufficient sleep, frequent mental distress (FMD ≥14 days during the past 30 days), obesity, and chronic disease including diabetes mellitus, coronary heart disease, stroke, high blood pressure, asthma, and arthritis. METHODS: Data from 375,653 US adults aged ≥ 18 years in the 2009 Behavioral Risk Factor Surveillance System were used to assess the relationships between insufficient sleep and chronic disease. The relationships were further examined using a multivariate logistic regression model after controlling for age, sex, race/ethnicity, education, and potential mediators (FMD and obesity). RESULTS: The overall prevalence of insufficient sleep during the past 30 days was 10.4% for all 30 days, 17.0% for 14-29 days, 42.0% for 1-13 days, and 30.6% for zero day. The positive relationships between insufficient sleep and each of the six chronic disease were significant (p < 0.0001) after adjustment for covariates and were modestly attenuated but not fully explained by FMD. The relationships between insufficient sleep and both diabetes and high blood pressure were also modestly attenuated but not fully explained by obesity. CONCLUSIONS: Assessment of sleep quantity and quality and additional efforts to encourage optimal sleep and sleep health should be considered in routine medical examinations. Ongoing research designed to test treatments for obesity, mental distress, or various chronic diseases should also consider assessing the impact of these treatments on sleep health.

Household demographics and perceived insufficient sleep among US adults.

It has become increasingly recognized that insufficient sleep is associated with adverse health outcomes. Studies have observed that sleep duration and daytime sleepiness varies by sex and marital status. Few studies have examined the impact of the number of children on sleep. To evaluate the association of marital status and number of children with insufficient sleep and in a large national sample. We analyzed data from the 2008 Behavioral Risk Factor Surveillance System (BRFSS) survey, a population-based telephone survey of non-institutionalized US adults (N = 395,407), in which respondents were asked, "During the past 30 days, for about how many days have you felt you did not get enough rest or sleep?" We used sex-specific, multivariate logistic regression analyses to assess the associations of marital status (married, previously married, never married) and the number of children in the household with frequent insufficient sleep (≥14 days in past 30 days) after adjusting for age, race/ethnicity, and education. In this study population, 23% were never married, 60% were married, and 17% were previously married. Forty-three percent reported having children aged <18 years in the household. Married men (24.3%) were less likely to report frequent insufficient sleep than never married men (28.0%) or previously married men (28.8%). Never married women (33.4%) were more likely to report frequent insufficient sleep than currently married (29.0%) or previously married women (29.0%). The likelihood of frequent insufficient sleep increased in a linear fashion with the number of children in the household for all subgroups (P < 0.05) except among never married men. These findings suggest that the presence of children in the household often increases the frequency of insufficient rest or sleep among the adults with whom they reside. Thus, health care providers may wish to consider the presence of children under 18 years of age a potential "risk factor" for insufficient sleep when counseling adults in the household about the importance of sleep to overall health.

PHQ-8 Days: a measurement option for DSM-5 Major Depressive Disorder (MDD) severity.

BACKGROUND: Proposed draft diagnostic criteria for the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) suggest that dimensional assessments can supplement dichotomous diagnoses by incorporating measures of severity, frequency, and duration, providing the ability to monitor changes in symptoms over time and to guide appropriate treatment. METHODS: This report is based on data from the Behavioral Risk Factor Surveillance System 2006 from 198,678 survey participants who responded to all eight Patient Health Questionnaire (PHQ-8) items. We evaluated use of the days version of the PHQ-8 to determine an optimal cut-point for identifying respondents with depression and to evaluate the performance characteristics of the PHQ-8 at this cut-point. RESULTS: A PHQ-8 score of 55 or more days was determined to be the optimal cut-point when compared to the DSM-derived PHQ-8 algorithm for a major depressive episode (five or more symptoms present "more than half the days," at least one of which must be anhedonia or depression). In the full sample, the sensitivity and the specificity of this cut-point were 0.91 (0.90-0.93) and 0.99 (0.99-0.99), respectively. CONCLUSION: The days version of the PHQ-8 may be a valuable dimensional alternative to the traditional PHQ-8 by offering finer granularity of dimensionality (a score of 0 to 112).

Indicators of poor mental health and stressors during the COVID-19 pandemic, by disability status: A cross-sectional analysis.

BACKGROUND: Evidence from previous public health emergencies indicates that adults with disabilities have higher risk for morbidity (physical and mental) and mortality than adults without disabilities. OBJECTIVE: To provide estimates of mental health indicators and stressors for US adults by disability status during April and May 2020, shortly following the emergence of the COVID-19 pandemic. METHODS: We analyzed data from Porter Novelli View 360 opt-in Internet panel survey conducted during the weeks of April 20th and May 18th, 2020 among 1004 English-speaking adults aged ≥18 years without and with disabilities (serious difficulty with hearing, vision, cognition, or mobility; any difficulty with self-care or independent living). Weighted logistic regression was used to test for significant differences between calculated prevalence estimates at the P ≤ .05 level. RESULTS: One in four adults reported any disability. Adults with any disability were significantly more likely than adults without disability to report current depressive symptoms, frequent mental distress, suicidal ideation, and COVID-19-related initiated or increased substance use (all p values < .0001). Adults with disabilities also reported significantly higher levels of stressors, such as access to health care services (p < .0001), difficulty caring for their own (or another's) chronic condition (p < .0001), emotional or physical abuse from others (p < .001), and not having enough food (p < .01). CONCLUSIONS: The disproportionately high levels of poor mental health indicators among adults with disabilities as compared to those without highlight the importance of delivering timely mental health screening and treatment/intervention during and after the COVID-19 pandemic to persons with disabilities.

Prevalence and correlates of depressive symptoms among United States adults with disabilities using assistive technology.

OBJECTIVES: To estimate the prevalence of current depressive symptoms (CDS) among adults that reported disabilities requiring the use of assistive technology (AT) and those that did not, and to examine the sociodemographic, comorbidity, health behavior, and social support correlates of this condition in adults who use AT. METHODS: Data from the 2006 Behavioral Risk Factor Surveillance System, a standardized telephone survey among U.S. adults, were analyzed (n=195,033). The Patient Health Questionnaire diagnostic algorithm was used to identify CDS. RESULTS: AT users were significantly more likely than AT non-users to have CDS (age-standardized: 30.4% vs. 7.4%). Among AT users, there was a dose-response relationship between depression severity and increased prevalence of health conditions, obesity, smoking, and physical inactivity. In the full covariate logistic regression model, the strongest sociodemographic variables associated with CDS among AT users were age and employment status. Other variables strongly associated with CDS were lack of social support and anxiety. CONCLUSIONS: An integrated approach to health care should be taken with adults who use AT. AT service providers, primary health care providers, and other care givers should be alert to the possibility of depression in AT users; and opportunities to prevent, detect, and treat depression among this population should not be missed.