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Objective: State-issued behavioral policy interventions (BPIs) can limit community spread of COVID-19, but their effects on COVID-19 transmission may vary by level of social vulnerability in the community. We examined the association between the duration of BPIs and the incidence of COVID-19 across levels of social vulnerability in US counties. Methods: We used COVID-19 case counts from USAFacts and policy data on BPIs (face mask mandates, stay-at-home orders, gathering bans) in place from April through December 2020 and the 2018 Social Vulnerability Index (SVI) from the Centers for Disease Control and Prevention. We conducted multilevel linear regression to estimate the associations between duration of each BPI and monthly incidence of COVID-19 (cases per 100 000 population) by SVI quartiles (grouped as low, moderate low, moderate high, and high social vulnerability) for 3141 US counties. Results: Having a BPI in place for longer durations (ie, ≥2 months) was associated with lower incidence of COVID-19 compared with having a BPI in place for Conclusions: Establishing COVID-19 prevention measures for longer durations may help reduce COVID-19 transmission, especially in communities with high levels of social vulnerability.

Introduction: Medical cannabis (marijuana) use is legal in 33 U.S. states and the District of Columbia. Clinicians can play an important role in helping patients access and weigh potential benefits...

Perceived racism in school (i.e., a student's report of being treated badly or unfairly because of their race or ethnicity) is an important yet understudied determinant of adolescent health and well-being. Knowing how perceived racism influences adolescent health can help reduce health inequities. CDC's 2021 Adolescent Behaviors and Experiences Survey (ABES), an online survey of a probability-based, nationally representative sample of U.S. public- and private-school students in grades 9-12 (N = 7,705), was conducted during January-June 2021 to assess student behaviors during the COVID-19 pandemic. CDC analyzed data from ABES to measure perceived racism and the extent to which perceptions of racism are associated with demographic, mental health, and behavioral characteristics. Mental health and behavioral characteristics analyzed included mental health status; virtual connection with others outside of school; serious difficulty concentrating, remembering, or making decisions; and feeling close to persons at school. Demographic characteristics analyzed included sex, race and ethnicity, and grade. Prevalence of perceived racism and associations between perceived racism and demographic, mental health, and behavioral characteristics are reported overall and stratified by race and ethnicity. Approximately one third (35.6%) of U.S. high school students reported perceived racism. Perceived racism was highest among Asian (63.9%), Black (55.2%), and multiracial students (54.5%). Students who reported perceived racism had higher prevalences of poor mental health (38.1%); difficulty concentrating, remembering, or making decisions (44.1%); and not feeling close to persons at school (40.7%). Perceived racism was higher among those students who reported poor mental health than those who did not report poor mental health during the pandemic among Asian (67.9% versus 40.5%), Black (62.1% versus 38.5%), Hispanic (45.7% and 22.9%), and White students (24.5% versus 12.7%). A better understanding of how negative health outcomes are associated with student experiences of racism can guide training for staff and students to promote cultural awareness and antiracist and inclusivity interventions, which are critical for promoting safe school environments for all students.

Recent studies indicate an increase in the percentage of adults who reported clinically relevant symptoms of anxiety and depression during the COVID-19 pandemic (1-3). For example, based on U.S. Census Bureau Household Pulse Survey (HPS) data, CDC reported significant increases in symptoms of anxiety and depressive disorders among adults aged ≥18 years during August 19, 2020-February 1, 2021, with the largest increases among adults aged 18-29 years and among those with less than a high school education (1). To assess more recent national trends, as well as state-specific trends, CDC used HPS data (4) to assess trends in reported anxiety and depression among U.S. adults in all 50 states and the District of Columbia (DC) during August 19, 2020-June 7, 2021 (1). Nationally, the average anxiety severity score increased 13% from August 19-31, 2020, to December 9-21, 2020 (average percent change [APC] per survey wave = 1.5%) and then decreased 26.8% from December 9-21, 2020, to May 26-June 7, 2021 (APC = -3.1%). The average depression severity score increased 14.8% from August 19-31, 2020, to December 9-21, 2020 (APC = 1.7%) and then decreased 24.8% from December 9-21, 2020, to May 26-June 7, 2021 (APC = -2.8%). State-specific trends were generally similar to national trends, with both anxiety and depression scores for most states peaking during the December 9-21, 2020, or January 6-18, 2021, survey waves. Across the entire study period, the frequency of anxiety and depression symptoms was positively correlated with the average number of daily COVID-19 cases. Mental health services and resources, including telehealth behavioral services, are critical during the COVID-19 pandemic.

Published reports suggest that the coronavirus disease 2019 (COVID-19) pandemic has had a negative effect on children's mental health (1,2). Emergency departments (EDs) are often the first point of care for children experiencing mental health emergencies, particularly when other services are inaccessible or unavailable (3). During March 29-April 25, 2020, when widespread shelter-in-place orders were in effect, ED visits for persons of all ages declined 42% compared with the same period in 2019; during this time, ED visits for injury and non-COVID-19-related diagnoses decreased, while ED visits for psychosocial factors increased (4). To assess changes in mental health-related ED visits among U.S. children aged

The coronavirus disease 2019 (COVID-19) pandemic has been associated with mental health challenges related to the morbidity and mortality caused by the disease and to mitigation activities, including the impact of physical distancing and stay-at-home orders.* Symptoms of anxiety disorder and depressive disorder increased considerably in the United States during April-June of 2020, compared with the same period in 2019 (1,2). To assess mental health, substance use, and suicidal ideation during the pandemic, representative panel surveys were conducted among adults aged ≥18 years across the United States during June 24-30, 2020. Overall, 40.9% of respondents reported at least one adverse mental or behavioral health condition, including symptoms of anxiety disorder or depressive disorder (30.9%), symptoms of a trauma- and stressor-related disorder (TSRD) related to the pandemic† (26.3%), and having started or increased substance use to cope with stress or emotions related to COVID-19 (13.3%). The percentage of respondents who reported having seriously considered suicide in the 30 days before completing the survey (10.7%) was significantly higher among respondents aged 18-24 years (25.5%), minority racial/ethnic groups (Hispanic respondents [18.6%], non-Hispanic black [black] respondents [15.1%]), self-reported unpaid caregivers for adults§ (30.7%), and essential workers¶ (21.7%). Community-level intervention and prevention efforts, including health communication strategies, designed to reach these groups could help address various mental health conditions associated with the COVID-19 pandemic.

The COVID-19 pandemic has negatively affected adult mental health (MH), with racial and ethnic minoritized groups disproportionately affected.To examine changes in adult MH-related emergency department (ED) visits into the Delta variant pandemic period and identify changes and inequities in these visits before and during COVID-19 case surges.This epidemiologic cross-sectional study used National Syndromic Surveillance Program data from US adults aged 18 to 64 years from 1970 to 2352 ED facilities from January 1, 2019, to August 14, 2021. All MH-related ED visits and visits related to 10 disorders (ie, anxiety, depressive, bipolar, schizophrenia spectrum, trauma- and stressor-related, attention-deficit/hyperactivity, disruptive behavioral and impulse, obsessive-compulsive, eating, and tic disorders) were identified.The following periods of MH-related ED visits were compared: (1) high Delta variant circulation (July 18-August 14, 2021) with a pre-Delta period (April 18-May 15, 2021), (2) after a COVID-19 case peak (February 14-March 13, 2021) with during a peak (December 27, 2020-January 23, 2021), and (3) the Delta period and the period after a COVID-19 case peak with the respective corresponding weeks during the prepandemic period.ED visits for 10 mental disorders and all MH-related visits.This cross-sectional study included 107 761 319 ED visits among adults aged 18 to 64 years (59 870 475 [56%] women) from January 1, 2019, to August 14, 2021. There was stability in most MH-related ED visit counts between the Delta and pre-Delta periods (percentage change, -1.4% to -7.5%), except for eating disorders (-11.9%) and tic disorders (-19.8%) and after a COVID-19 case peak compared with during a peak (0.6%-7.4%). Most MH-related ED visit counts declined in the Delta period relative to the prepandemic period (-6.4% to -30.7%); there were fluctuations by disorder when comparing after a COVID-19 case peak with the corresponding prepandemic period (-15.4% to 11.3%). Accounting for ED visit volume, MH-related ED visits were a smaller proportion of visits in the Delta period compared with the pre-Delta period (visit ratio, 0.86; 95% CI, 0.85-0.86) and prepandemic period (visit ratio, 0.80; 95% CI, 0.79-0.80). After a COVID-19 case peak, MH-related ED visits were a larger proportion of ED visits compared with during a peak (visit ratio, 1.04; 95% CI, 1.03-1.04) and the corresponding prepandemic period (visit ratio, 1.11; 95% CI, 1.11-1.12). Of the 2 510 744 ED visits included in the race and ethnicity analysis, 24 592 (1%) were American Indian or Alaska Native persons, 33 697 (1%) were Asian persons, 494 198 (20%) were Black persons, 389 740 (16%) were Hispanic persons, 5000 (0.2%) were Native Hawaiian or Other Pacific Islander persons, and 1 172 683 (47%) were White persons. There was between- and within-group variation in ED visits by race and ethnicity and increases in selected disorders after COVID-19 peaks for adults aged 18 to 24 years.Results of this cross-sectional study suggest that EDs may have increases in MH-related visits after COVID-19 surges, specifically for young adults and individual racial and ethnic minoritized subpopulations. Public health practitioners should consider subpopulation-specific messaging and programmatic strategies that address differences in MH needs, particularly for those historically marginalized.

Adverse childhood experiences (ACEs) are associated with poor health. Childhood experiences of racial/ethnic discrimination and other forms of racism may underlie or exacerbate other ACEs. We explored health-related associations with perceived racial/ethnic discrimination relative to other ACEs, using data from 2016–2019 National Survey of Children’s Health, an annual cross-sectional, nationally representative survey. Parent responses for 88,183 children ages 6–17 years with complete data for ACEs (including racial/ethnic discrimination) were analyzed for associations between racial/ethnic discrimination, other ACEs, demographics, and physical and mental health conditions with weighted prevalence estimates and Wald chi-square tests. To assess associations between racial/ethnic discrimination and health conditions relative to other ACEs, we used weighted Poisson regressions, adjusted for exposure to other ACEs, age, and sex. We assessed effect modification by race/ethnicity. Prevalence of other ACEs was highest among children with racial/ethnic discrimination, and both racial/ethnic discrimination and other ACEs were associated with having one or more health conditions. Adjusted associations between racial/ethnic discrimination and health conditions differed by race/ethnicity (interaction P-values < 0.001) and were strongest for mental health conditions among Hispanic/Latino (adjusted prevalence ratio (aPR)=1.62, 95% confidence interval (CI): 1.24–2.10) and non-Hispanic/Latino Asian American (aPR=2.25, 95% CI: 1.37–3.71) children. Results suggest racial/ethnic discrimination and other ACEs are associated with child health conditions, with differences in relative associations by race/ethnicity. Public health efforts to prevent childhood adversity, including racial/ethnic discrimination and other forms of racism could be associated with improvements in child health.

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.

Marijuana is the most commonly used illicit substance under federal law in the United States (1); however, many states have legalized medical and adult nonmedical use. Evidence regarding the safety and health effects of cannabis use during pregnancy is largely inconclusive (2). Potential adverse health effects to exposed infants (e.g., lower birthweight) have been documented (2). To provide population-based estimates of use surrounding pregnancy, identify reasons for and mode of use, and understand characteristics of women who continue versus cease marijuana use during pregnancy, CDC analyzed data from eight states participating in the 2017 Pregnancy Risk Assessment Monitoring System (PRAMS) marijuana supplement. Overall, 9.8% of women self-reported marijuana use before pregnancy, 4.2% during pregnancy, and 5.5% after pregnancy. The most common reasons for use during pregnancy were to relieve stress or anxiety, nausea or vomiting, and pain. Smoking was the most common mode of use. In multivariable models that included age, race/ethnicity, marital status, education, insurance status, parity, trimester of entry into prenatal care, and cigarette and e-cigarette use during pregnancy, women who continued versus ceased marijuana use during pregnancy were more likely to be non-Hispanic white or other race/ethnicity than non-Hispanic black, be unmarried, have ≤12 years of education, and use cigarettes during pregnancy. The American College of Obstetricians and Gynecologists (ACOG) and the American Academy of Pediatrics (AAP) recommend refraining from marijuana use during pregnancy and lactation (3,4). Given the increasing number of states legalizing medical and adult nonmedical marijuana use, surveillance of perinatal marijuana use can inform clinical guidance, provider and patient education, and public health programs to support evidence-based approaches to addressing substance use.

As policies legalizing nonmedical marijuana have increased in states, understanding the implications of marijuana use among adolescents is increasingly important. This study uses nationally representative data to assess behavioral risk factors among students with different patterns of marijuana use.Data from the 2015 and 2017 Youth Risk Behavior Surveys, cross-sectional surveys conducted among a nationally representative sample of students in Grades 9-12 (n=30,389), were used to examine the association between self-reported current marijuana use status and self-report of 30 risk behaviors across 3 domains: substance use, injury/violence, and sexual health. Among current marijuana users, authors assessed differences between established (≥100 lifetime uses) and nonestablished (100 uses) users. Multivariable models were used to calculate adjusted prevalence ratios. Data were analyzed in 2019.Current marijuana users (regardless of use pattern) had a significantly greater likelihood of engaging in 27 of the 30 behaviors assessed across the 3 domains than the noncurrent users. Those with established use patterns (versus nonestablished) had a greater risk of lifetime use of most other substances (licit and illicit, including tobacco, alcohol, heroin, misuse of opioids), some injury/violence behaviors (including driving while using marijuana and suicide ideation and attempt), and sexual risk behaviors.Both established and nonestablished patterns of adolescent marijuana use are associated with a number of other risky behaviors. In addition to interventions focused on preventing youth initiation of marijuana, clinicians and public health professionals should consider interventions to help adolescents who have nonestablished use patterns to avoid continued, established use.

Background The prevalence of modes of marijuana use (e.g., smoked, vaped, eaten, dabbed, etc.), and of multi-modal use has not been assessed across multiple states, and can inform marijuana prevention and education work, given that certain modes of use are associated with specific public health risks. This study aimed to assess the prevalence of different modalities of reported marijuana use among adults in 12 states. Methods Data came from 6174 adult marijuana users age 18 and older who responded to questions about past month and mode of marijuana use on the 2016 BRFSS surveys in 12 states with varied state marijuana policies. We used weighted frequencies for descriptive analyses, and logistic regression to identify correlates of multi-modal use. Results The prevalence of past month (current) marijuana use among adults in these states was 9.1 % (males = 12.0 %, females= 6.3 %). Among current marijuana users, 33.7 % reported multiple methods of marijuana use, 90.1 % reported any marijuana smoking (e.g., joints, blunts, bongs, bowls), 58.3 % reported only smoking (no other modes of consumption), 24.5 % reported any edible use, 4.5 % reported using only edibles, 19.4 % reported any marijuana vaping, 2.1 % reported only vaping, 14.5 % reported any dabbing (flash vaporization/inhalation of highly concentrated marijuana), and 0.4 % reported only dabbing. Correlates of multimodal use are also examined. Conclusion Multi-modal use of marijuana is common, and use of non-smoked marijuana (edibles, vaping, dabbing) often occurs in conjunction with other modes of marijuana use. Ongoing surveillance of marijuana modes of use and multi-modal use is warranted to inform public education and prevention.

Recent global (1) and national (2,3) health equity initiatives conclude that the elimination of health disparities requires improved understanding of social context (4,5) and ability to measure social determinants of health, including food and housing security (3). Food and housing security reflect the availability of and access to essential resources needed to lead a healthy life. The 2013 Behavioral Risk Factor Surveillance System (BRFSS) included two questions to assess perceived food and housing security in 15 states.* Among 95,665 respondents, the proportion who answered "never or rarely" to the question "how often in the past 12 months would you say you were worried or stressed about having enough money to buy nutritious meals?" ranged from 68.5% to 82.4% by state. Among 90,291 respondents living in housing they either owned or rented, the proportion who answered "never or rarely" to the question, "how often in the past 12 months would you say you were worried or stressed about having enough money to pay your rent/mortgage?" ranged from 59.9% to 72.8% by state. Food security was reported less often among non-Hispanic blacks (blacks) (68.5%) and Hispanics (64.6%) than non-Hispanic whites (whites) (81.8%). These racial/ethnic disparities were present across all levels of education; housing security followed a similar pattern. These results highlight racial/ethnic disparities in two important social determinants of health, food and housing security, as well as a substantial prevalence of worry or stress about food or housing among all subgroups in the United States. The concise nature of the BRFSS Social Context Module's single-question format for food and housing security makes it possible to incorporate these questions into large health surveys so that social determinants can be monitored at the state and national levels and populations at risk can be identified.

Background The objective of this study was to estimate the prevalence of current (past 30 days) marijuana use and its associations with demographic, other substance use, chronic disease, physical health and mental health measures among women of reproductive age (18–44 years) in 12 US states. Methods This analysis used 2016 Behavioral Risk Factor Surveillance System (BRFSS) data from 16,556 women of reproductive age in 12 US states. Women self-reported current marijuana use and covariates. Weighted χ2 statistics and adjusted prevalence ratios (aPR) were calculated accounting for the complex survey design. Results Among women of reproductive age, 9.9 % reported current marijuana use. Current cigarette use (aPR: 2.0, 95 % CI: 1.6, 2.6), current e-cigarette use (aPR: 1.9, 95 % CI: 1.4, 2.6), binge drinking (aPR: 2.6, 95 % CI: 1.9, 3.6), ever having received a depression diagnosis (aPR: 1.6, 95 % CI: 1.2, 2.1), and ≥14 days of poor mental health in the past 30 days (aPR: 1.8, 95 % CI: 1.3, 2.4) were all associated with higher adjusted prevalence of current marijuana use. Reporting ≥14 days of poor physical health within the last 30 was associated with a 40 % lower adjusted prevalence of current marijuana use (aPR: 0.6, 95 % CI: 0.4, 0.8). Conclusion Current marijuana use among women of reproductive age was associated with other substance use, poor mental health, and depression. As state laws concerning marijuana use continue to change, it is important to monitor usage patterns and to assess associated health risks in this population.

Data on large scale community-level interventions on fruit and vegetable consumption targeting minority communities are lacking. This study examined whether a multicommunity intervention decreased disparities in fruit and vegetable consumption.The Racial and Ethnic Approaches to Community Health (REACH) 2010 program was conducted among 16 black communities. Five-year trends (2001-2006) in self-reported fruit and vegetable consumption among the target population were compared with trends among white and black populations in 14 states where communities were located.The geometric mean of combined fruit and vegetable consumption in the REACH communities increased 7.4 % (P0.001) but did not change among white and black populations in comparison states (P0.05). Increased consumption in REACH communities was higher in the lower quintiles of consumptions. The disparity in fruits and vegetables consumption between comparison white population and blacks in REACH communities decreased by 33 %-from 0.66 to 0.44 times per day. The target population of 1.2 million people consumed fruits and vegetables about 21.9 million additional times per year as a result of the REACH program.This large community-based participatory intervention successfully reduced isparities in fruit and vegetable consumption between comparison white population and 16 disadvantaged black communities.

A redesigned food insecurity question that measured food stress was included in the 2009 Behavioral Risk Factor Surveillance System in the Social Context optional module. The objective of our study was to examine the association between food stress and obesity using this question as a surrogate for food insecurity. Our analytic sample included 66,553 adults from 12 states. Food insecurity was determined by response (always/usually/sometimes) to the question,“Howoften in the past 12 months would you say you were worried or stressed about having enough money to buy nutritious meals?” T tests were used to compare prevalence differences between groups, and logistic regression was used to examine the association between food insecurity and obesity. Among the 12 states, the prevalence of obesity was 27.1% overall, 25.2% among food secure adults, and 35.1% among food insecure adults. Food insecure adults had 32% increased odds of being obese compared to food secure adults. Compared with food secure adults, food insecure adults had significantly higher prevalence of obesity in the following population subgroups: adults ages ≥30 years, women, non- Hispanic whites, non-Hispanic blacks, adults with some college education or a college degree, a household income of

We used data from the adult reinterview portion of the National Survey of American Life (Jackson, Torres, et al., 2004) to investigate the relationships of John Henryism Active Coping Scale (James, Hartnett, & Kalsbeek, 1983), Social Dominance, and Stratification Beliefs to depressive symptoms as measured by the Center for Epi-demiologic Studies Depression Scale (Radloff, 1977). Social Dominance and Stratification Beliefs (American Values) were identified from a factor analysis. The results indicate significant interaction effects for John Henryism and American Values for White Americans and Caribbean Blacks but not for African Americans. We found a strong positive effect between John Henryism and depressive symptoms for Whites with high levels of Stratification Beliefs. For Whites with low Stratification Beliefs, depressive symptoms remained constant as John Henryism increased. Among Caribbean Blacks, John Henryism showed a significant interaction with Social Dominance. Among Caribbean Blacks, there was ...

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.

The role of neighborhood walkability and safety in mediating the association between education and physical activity has not been quantified. We used data from the 2010 and 2012 Communities Putting Prevention to Work Behavioral Risk Factor Surveillance System and structural equation modeling to estimate how much of the effect of education level on physical activity was mediated by perceived neighborhood walkability and safety. Neighborhood walkability accounts for 11.3% and neighborhood safety accounts for 6.8% of the effect. A modest proportion of the important association between education and physical activity is mediated by perceived neighborhood walkability and safety, suggesting that interventions focused on enhancing walkability and safety could reduce the disparity in physical activity associated with education level.

Food insecurity is positively linked to risk of hypertension; however, it is not known whether this relationship persists after adjustment for socioeconomic position (SEP). We examined the association between food insecurity and self-reported hypertension among adults aged 35 or older (N = 58,677) in 12 states that asked the food insecurity question in their 2009 Behavioral Risk Factor Surveillance System questionnaire. After adjusting for SEP, hypertension was more common among adults reporting food insecurity (adjusted prevalence ratio, 1.27; 95% confidence interval, 1.19-1.36). Our study found a positive relationship between food insecurity and hypertension after adjusting for SEP and other characteristics.

This study utilized a multidisciplinary approach to examine injury-induced compensatory responses in the aging hippocampal serotonin transporter (5-HTT), a membrane protein implicated in a variety of neurodegenerative disorders. Age-dependent cellular, anatomical, and physiological changes of the 5-HTT were evaluated in female Fischer 344 rats (2 and 17 months) following denervation of the serotonergic afferents (fimbria-fornix and cingulum bundle) to the dorsal hippocampus using the neurotoxicant 5,7-dihydroxytryptamine (5,7-DHT). Seven days following 5,7-DHT administration, a uniform loss of the hippocampal 5-HTT immunoreactivity was observed in both age groups. However, at 21 days 5-HTT immunoreactivity in young 5,7-DHT-treated animals was similar to control levels, indicative of recovery, while older animals exposed to 5,7-DHT did not show recovery of hippocampal 5-HTT expression. 5-HTT binding site density, as determined by quantitative autoradiography ([3H]citalopram), supported the immunohistochemical results by demonstrating a recovery of 5-HTT binding sites in young, but not old animals, at 21 days following the lesion (P < 0.001). Furthermore, cellular electrophysiological function of hippocampal CA1 pyramidal neurons in 3- and 18-month-old F344 rats at 21 days following 5,7-DHT or vehicle treatment were assessed using in vivo microiontophoretic application of serotonin (5-HT). Independent of changes in sensitivity to the inhibitory effects of 5-HT application, the time to recovery of cell firing following application of 5-HT was significantly increased in the 18-month 5,7-DHT group compared to the 18-month vehicle and 3-month 5,7-DHT groups (60 and 59% increases, respectively; P < 0.05). Overall, these series of studies comprise a model which can be used to identify cellular events underlying both the formation of injury-induced compensatory processes in younger animals and the lack thereof with advancing age. Synapse 39:109–121, 2001. © 2001 Wiley-Liss, Inc.

Introduction Housing insecurity and food insecurity may be psychological stressors associated with insufficient sleep. Frequent mental distress may mediate the relationships between these variables. The objective of this study was to examine the relationships between housing insecurity and food insecurity, frequent mental distress, and insufficient sleep. Methods We analyzed data from the 2009 Behavioral Risk Factor Surveillance System in 12 states. Housing insecurity and food insecurity were defined as being worried or stressed “sometimes,” “usually,” or “always” during the previous 12 months about having enough money to pay rent or mortgage or to buy nutritious meals. Results Of 68,111 respondents, 26.4% reported frequent insufficient sleep, 28.5% reported housing insecurity, 19.3% reported food insecurity, and 10.8% reported frequent mental distress. The prevalence of frequent insufficient sleep was significantly greater among those who reported housing insecurity (37.7% vs 21.6%) or food insecurity (41.1% vs 22.9%) than among those who did not. The prevalence of frequent mental distress was also significantly greater among those reporting housing insecurity (20.1% vs 6.8%) and food insecurity (23.5% vs 7.7%) than those who did not. The association between housing insecurity or food insecurity and frequent insufficient sleep remained significant after adjustment for other sociodemographic variables and frequent mental distress. Conclusion Sleep health and mental health are embedded in the social context. Research is needed to assess whether interventions that reduce housing insecurity and food insecurity will also improve sleep health and mental health.

Introduction Count data are often collected in chronic disease research, and sometimes these data have a skewed distribution. The number of unhealthy days reported in the Behavioral Risk Factor Surveillance System (BRFSS) is an example of such data: most respondents report zero days. Studies have either categorized the Healthy Days measure or used linear regression models. We used alternative regression models for these count data and examined the effect on statistical inference. Methods Using responses from participants aged 35 years or older from 12 states that included a homeownership question in their 2009 BRFSS, we compared 5 multivariate regression models — logistic, linear, Poisson, negative binomial, and zero-inflated negative binomial — with respect to 1) how well the modeled data fit the observed data and 2) how model selections affect inferences. Results Most respondents (66.8%) reported zero mentally unhealthy days. The distribution was highly skewed (variance = 58.7, mean = 3.3 d). Zero-inflated negative binomial regression provided the best-fitting model, followed by negative binomial regression. A significant independent association between homeownership and number of mentally unhealthy days was not found in the logistic, linear, or Poisson regression model but was found in the negative binomial model. The zero-inflated negative binomial model showed that homeowners were 24% more likely than nonowners to have excess zero mentally unhealthy days (adjusted odds ratio, 1.24; 95% confidence interval, 1.08–1.43), but it did not show an association between homeownership and the number of unhealthy days. Conclusion Our comparison of regression models indicates the importance of examining data distribution and selecting models with appropriate assumptions. Otherwise, statistical inferences might be misleading.

During late April 2009, the first cases of 2009 pandemic influenza A (H1N1) (pH1N1) in Illinois were reported. On-going, sustained local transmission resulted in an estimated 500,000 infected persons. We conducted a mixed method analysis using both quantitative (surveillance) and qualitative (interview) data; surveillance data was used to analyze demographic distribution of hospitalized cases and follow-up interview data was used to assess health seeking behavior. Invitations to participate in a telephone interview were sent to 120 randomly selected Illinois residents that were hospitalized during April-December 2009. During April-December 2009, 2,824 pH1N1 hospitalizations occurred in Illinois hospitals; median age (interquartile range) at admission was 24 (range: 6-49) years. Hospitalization rates/100,000 persons for blacks and Hispanics, regardless of age or sex were 2-3 times greater than for whites (blacks, 36/100,000 (95% Confidence Interval ([95% CI], 33-39)); Hispanics, 35/100,000 [95%CI,32-37] (; whites, 13/100,000[95%CI, 12-14); p

Background Health-related quality of life (HRQOL) is a multi-dimensional concept commonly used to examine the impact of health status on quality of life. HRQOL is often measured by four core questions that asked about general health status and number of unhealthy days in the Behavioral Risk Factor Surveillance System (BRFSS). Use of these measures individually, however, may not provide a cohesive picture of overall HRQOL. To address this concern, this study developed and tested a method for combining these four measures into a summary score. Methods Exploratory and confirmatory factor analyses were performed using BRFSS 2013 data to determine potential numerical relationships among the four HRQOL items. We also examined the stability of our proposed one-factor model over time by using BRFSS 2001–2010 and BRFSS 2011–2013 data sets. Results Both exploratory factor analysis and goodness of fit tests supported the notion that one summary factor could capture overall HRQOL. Confirmatory factor analysis indicated acceptable goodness of fit of this model. The predicted factor score showed good validity with all of the four HRQOL items. In addition, use of the one-factor model showed stability, with no changes being detected from 2001 to 2013. Conclusion Instead of using four individual items to measure HRQOL, it is feasible to study overall HRQOL via factor analysis with one underlying construct. The resulting summary score of HRQOL may be used for health evaluation, subgroup comparison, trend monitoring, and risk factor identification. Electronic supplementary material The online version of this article (doi:10.1186/s12963-016-0091-3) contains supplementary material, which is available to authorized users.