OBJECTIVE: Providing health care during the COVID-19 pandemic has been associated with a high mental health burden for health care providers. This study examined patterns of responses and correlates of class membership across commonly assessed mental health symptoms, psychosocial functioning, and moral injury for providers in the United States in Fall 2022. METHOD: A convenience sample of 1,504 primary care physicians, pediatricians, nurse practitioners, and physician assistants who had been in practice for three or more years (M(age) = 46.1 years, SD(age) = 11.3, 58% male) completed self-report measures in an online, opt-in panel survey from September to November 2022. RESULTS: Using latent class analysis, three classes were identified: No/Low Symptoms (64.8%), High Moral Injury (19.9%), and Elevated Symptoms (15.2%). Several factors were correlated with class membership including age, sex, social support, personal risk of COVID-19, pandemic-related work stressors, proportion of COVID-19 patients seen at the height of the pandemic, and death of a patient due to COVID-19. CONCLUSIONS: This study found high levels of mental health symptoms, and problems with psychosocial functioning and moral injury in health care providers well past the pandemic's peak. The results also demonstrated the importance of considering the unique contribution of moral injury to psychosocial functional difficulties experienced by health care providers during the pandemic given their defined role as essential workers. These findings have implications for preventing and managing mental health problems and burnout among providers postpandemic as well as for future pandemics at both the organizational and individual levels. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

COVID-19 workplace mitigation strategies implemented within US businesses have been effective at preventing disease and protecting workers, but the extent of their use is not well understood. We examined reported COVID-19 workplace mitigation strategies by business size, geographic region, and industry using internet panel survey data from US adult respondents working full- or part-time outside the home (fall 2020, N = 1168) andfull- or part-time, inside or outside the home (fall 2021, N = 1778). We used chi-square tests to assess the differences in the strategies used (e.g., masking and COVID-19 screening) and ANOVA tests to examine the group differences on a mitigation strategies summative score. Fewer COVID-19 mitigation strategies were reported by respondents in fall 2021 (compared to fall 2020) across businesses of different sizes and regions. The participants in microbusinesses (1-10 employees) reported significantly (p < 0.05) lower mitigation scores than all other business sizes, and the respondents in these businesses were significantly less likely (p < 0.05) to have paid leave than those in enterprises with >10 employees. The healthcare and education sectors had the highest reported mean score of COVID-19 workplace mitigation strategies. Small and essential businesses are critical to the US economy. Insight is needed on their use of mitigation strategies to protect workers during the current and future pandemics.

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.

OBJECTIVE: To investigate associations between adverse changes in employment status and physical and mental health among US adults (more than or equal to 18 years) during the COVID-19 pandemic. METHODS: Data from participants (N = 2565) of a national Internet panel (June 2020) were assessed using path analyses to test associations between changes in self-reported employment status and hours worked and physical and mental health outcomes. RESULTS: Respondents who lost a job after March 1, 2020 (vs those who did not) reported more than twice the number of mentally unhealthy days. Women and those lacking social support had significantly worse physical and mental health outcomes. Participants in the lowest, pre-pandemic household income groups reported experiencing worse mental health. CONCLUSIONS: Results demonstrate the importance of providing social and economic support services to US adults experiencing poor mental and physical health during the COVID-19 pandemic.

BACKGROUND: Investigating antecedents of behaviors, such as wearing face coverings, is critical for developing strategies to prevent SARS-CoV-2 transmission. PURPOSE: The purpose of this study was to determine associations between theory-based behavioral predictors of intention to wear a face covering and actual wearing of a face covering in public. METHODS: Data from a cross-sectional panel survey of U.S. adults conducted in May and June 2020 (N = 1,004) were used to test a theory-based behavioral path model. We (a) examined predictors of intention to wear a face covering, (b) reported use of cloth face coverings, and (c) reported use of other face masks (e.g., a surgical mask or N95 respirator) in public. RESULTS: We found that being female, perceived importance of others wanting the respondent to wear a face covering, confidence to wear a face covering, and perceived importance of personal face covering use was positively associated with intention to wear a face covering in public. Intention to wear a face covering was positively associated with self-reported wearing of a cloth face covering if other people were observed wearing cloth face coverings in public at least "rarely" (aOR = 1.43), with stronger associations if they reported "sometimes" (aOR = 1.83), "often" (aOR = 2.32), or "always" (aOR = 2.96). For other types of face masks, a positive association between intention and behavior was only present when observing others wearing face masks "often" (aOR = 1.25) or "always" (aOR = 1.48). CONCLUSIONS: Intention to wear face coverings and observing other people wearing them are important behavioral predictors of adherence to the CDC recommendation to wear face coverings in public.

On April 3, 2020, the White House Coronavirus Task Force and CDC announced a new behavioral recommendation to help slow the spread of coronavirus disease 2019 (COVID-19) by encouraging the use of a cloth face covering when out in public (1). Widespread use of cloth face coverings has not been studied among the U.S. population, and therefore, little is known about encouraging the public to adopt this behavior. Immediately following the recommendation, an Internet survey sampled 503 adults during April 7-9 to assess their use of cloth face coverings and the behavioral and sociodemographic factors that might influence adherence to this recommendation. The same survey was administered 1 month later, during May 11-13, to another sample of 502 adults to assess changes in the prevalence estimates of use of cloth face coverings from April to May. Within days of the release of the first national recommendation for use of cloth face coverings, a majority of persons who reported leaving their home in the previous week reported using a cloth face covering (61.9%). Prevalence of use increased to 76.4% 1 month later, primarily associated with increases in use among non-Hispanic white persons (54.3% to 75.1%), persons aged >/=65 years (36.6% to 79.2%), and persons residing in the Midwest (43.7% to 73.8%). High rates were observed in April and by May, increased further among non-Hispanic black persons (74.4% to 82.3%), Hispanic or Latino persons (77.3% to 76.2%), non-Hispanic persons of other race (70.8% to 77.3%), persons aged 18-29 years (70.1% to 74.9%) and 30-39 years (73.9% to 84.4%), and persons residing in the Northeast (76.9% to 87.0%). The use of a cloth face covering was associated with theory-derived constructs that indicate a favorable attitude toward them, intention to use them, ability to use them, social support for using them, and beliefs that they offered protection for self, others, and the community. Research is needed to understand possible barriers to using cloth face coverings and ways to promote their consistent and correct use among those who have yet to adopt this behavior.

US adolescents experience a higher rate of largely preventable job-related injuries compared with adults. Safety education is considered critical to the prevention of these incidents. This study evaluates the effectiveness of a foundational curriculum from the National Institute for Occupational Safety and Health (NIOSH), Talking Safety, to change adolescents' workplace safety and health knowledge, attitude, subjective norm, self-efficacy, and behavioral intention to engage in workplace safety actions. The study also examines the impact of teacher fidelity of curriculum implementation on student outcomes. A multilevel evaluation, based on a modified theory of planned behavior, was conducted in 2016 with 1748 eighth-graders in Miami-Dade, Florida. Post-intervention, students had statistically significant increases (p < .05) in mean scores across outcomes: workplace safety knowledge (34%), attitude (5%), subjective norm (7%), self-efficacy (7%), and behavioral intention (7%). Consistent with theory, gains in attitude (b = 0.25, p < .001), subjective norm (b = 0.07, p < .01), and self-efficacy (b = 0.55, p < .001) were associated with gains in behavioral intention. Higher levels of implementation fidelity were associated with significant gains across outcome measures: knowledge (b = 0.60, p < .001), attitude (b = 0.08, p < .01), subjective norm (b = 0.04, p < .001), self-efficacy (b = 0.07, p < .01) and behavioral intention (b = 0.07, p < .01). Findings demonstrate the effectiveness of Talking Safety, delivered with fidelity, at positively changing measured outcomes, and provide support for using this curriculum as an essential component of any school-based, injury prevention program for young workers.

BACKGROUND: Although the life expectancy for the US population has increased, a high proportion of this population has lived with >/=1 chronic conditions. We have quantified the burden of disease associated with 15 chronic conditions and combinations of conditions by estimating quality-adjusted life years (QALYs) for older US adults. RESEARCH DESIGN: Data were from the Medicare Health Outcomes Survey Cohort 15 (baseline survey in 2012, follow-up survey 2014, with mortality follow-up through January 31, 2015). We included individuals aged 65 years and older (n=96,481). We estimated mean QALY throughout the remainder of the lifetime according to the occurrence of these conditions. RESULTS: The age-adjusted QALY was 5.8 years for men and 7.8 years for women. Over 90% respondents reported at least 1 condition and 72% reported multiple conditions. Respondents with depression and congestive heart failure had the lowest age-adjusted QALY (1.1-1.5 y for men and 1.5-2.2 y for women), whereas those with hypertension, arthritis, and sciatica had higher QALY (4.2-5.4 and 6.4-7.2 y, respectively). Having either depression or congestive heart failure and any 1 or 2 of the other 13 conditions was associated with the lowest QALY among the possible dyads and triads of chronic conditions. Dyads and triads with hypertension or arthritis were more prevalent, but had higher QALY. CONCLUSIONS: Understanding the burden of disease for common chronic conditions and for combinations of these conditions is useful for delivering high-quality primary care that could be tailored for individuals with combinations of chronic conditions.

Relatively little research has attempted to disentangle the individual and neighborhood conditions underlying health disparities. To address this, survey data were collected from 1,107 residents living in one of the 114 census tracts. Results from a multilevel structural equation model found an individual's perceptions of the social and built environment were significantly associated with their current physical health, mental health, and perceived stress. Associations between household income and poor physical health were more pronounced for participants who lived in low-income neighborhoods compared to participants who lived in high-income neighborhoods. Additionally, Black residents reported significantly better mental health than White residents when they lived in high-income neighborhoods, while Black residents who lived in low-income neighborhoods reported significantly more stress than White residents in low-income neighborhoods. Results of this study advance scientific understanding of social determinants of health and may aid in the development of programs and policies.

BACKGROUND: The Short Form Health Survey (SF-36) and the Centers for Disease Control and Prevention (CDC) Healthy Days items are well known measures of health-related quality of life. The validity of the SF-36 for older adults and those with disabilities has been questioned. OBJECTIVE: Assess the extent to which the SF-36 and the Centers for Disease Control and Prevention (CDC) Healthy Days items measure the same aspects of health; whether the SF-36 and the CDC unhealthy days items are invariant across gender, functional status, or the presence of chronic health conditions of older adults; and whether each of the SF-36's eight subscales is independently associated with the CDC Healthy Days items. METHODS: We analyzed data from 66,269 adult Medicare advantage members age 65 and older. We used confirmatory factor analyses and regression modeling to test associations between the CDC Healthy Days items and subscales of the SF-36. RESULTS: The CDC Healthy Days items were associated with the SF-36 global measures of physical and mental health. The CDC physically unhealthy days item was associated with the SF-36 subscales for bodily pain, physical role limitations, and general health, while the CDC mentally unhealthy days item was associated with the SF-36 subscales for mental health, emotional role limitations, vitality and social functioning. The SF-36 physical functioning subscale was not independently associated with either of the CDC Healthy Days items. CONCLUSIONS: The CDC Healthy Days items measure similar domains as the SF-36 but appear to assess HRQOL without regard to limitations in functioning.

INTRODUCTION: Co-occurring chronic health conditions elevate the risk of poor health outcomes such as death and disability, are associated with poor quality of life, and magnify the complexities of self-management, care coordination, and treatment planning. This study assessed patterns of both singular and multiple chronic conditions, behavioral risk factors, and quality of life in a population-based sample. METHODS: In a national survey, adults (n = 4,184) answered questions about the presence of 27 chronic conditions. We used latent class analysis to identify patterns of chronic conditions and to explore associations of latent class membership with sociodemographic characteristics, behavioral risk factors, and health. RESULTS: Latent class analyses indicated 4 morbidity profiles: a healthy class (class 1), a class with predominantly physical health conditions (class 2), a class with predominantly mental health conditions (class 3), and a class with both physical and mental health conditions (class 4). Class 4 respondents reported significantly worse physical health and well-being and more days of activity limitation than those in the other latent classes. Class 4 respondents were also more likely to be obese and sedentary, and those with predominantly mental health conditions were most likely to be current smokers. CONCLUSIONS: Subgroups with distinct patterns of chronic conditions can provide direction for screening and surveillance, guideline development, and the delivery of complex care services.

Correction Notice: An Erratum for this article was reported in Vol 5(2) of Psychology of Violence (see record 2015-04307-001). Data in Table 2 were incorrectly reported in the "Obtain needed support" column for the country-level predictors unemployment rate and median income. No corrections to the text were needed. The correct data are presented in the erratum.] Objective: This study determined whether county-level social determinants of health and adverse childhood experiences (ACE) were associated with emotional support and health-related quality of life (HRQOL) in adulthood. This study represents the largest population-based investigation on ACE to include county-level indicators of the social ecology. Method: We used data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS) survey (29,212 adults from 5 states) and the American Community Survey (2010; 304 counties). Multilevel structural equation models were employed to test direct and indirect associations between county-level social determinants of health, ACEs and indicators of adult HRQOL. Results: At the individual level, ACEs were associated with lower emotional support, and lower emotional support was associated with worse physical and mental HRQOL. Parental divorce was associated with better mental HRQOL for individuals who reported =2 forms of childhood maltreatment and/or negative household environments during childhood. At the county-level, low median income and high county-level unemployment were associated with low emotional support, and high median income and high unemployment were directly associated with poor physical and mental HRQOL. Conclusion: Findings from this study suggest that intervention efforts designed to promote positive emotional supports for adults who have experienced ACEs, particularly for those living in disadvantaged counties, may ameliorate potential health consequences during adulthood.

OBJECTIVE: The purpose of the current investigation is to assess and validate the factor structure of the Behavioral Risk Factor Surveillance System's (BRFSS) Adverse Childhood Experience (ACE) module. METHOD: ACE data available from the 2009 BRFSS survey were fit using exploratory factor analysis (EFA) to estimate an initial factorial structure. The exploratory solution was then validated using confirmatory factor analysis (CFA) with data from the 2010 BRFSS survey. Lastly, ACE factors were tested for measurement invariance using multiple group factor analysis. RESULTS: EFA results suggested that a 3-factor solution adequately fit the data. Examination of factor loadings and item content suggested the factors represented the following construct areas: Household Dysfunction, Emotional/Physical Abuse, and Sexual Abuse. Subsequent CFA results confirmed the 3-factor solution and provided preliminary support for estimation of an overall latent ACE score summarizing the responses to all available items. Measurement invariance was supported across both gender and age. CONCLUSIONS: Results of this study provides support for the use of the current ACE module scoring algorithm, which uses the sum of the number of items endorsed to estimate exposure. However, the results also suggest potential benefits to estimating 3 separate composite scores to estimate the specific effects of exposure to Household Dysfunction, Emotional/Physical Abuse, and Sexual Abuse.

PURPOSE: Concerns have been raised that children may be receiving too many immunizations under the recommended schedule in the USA. We used a publicly available dataset to evaluate the association between antibody-stimulating proteins and polysaccharides from early childhood vaccines and neuropsychological outcomes at age 7-10 years. METHODS: Children aged 7-10 years from four managed care organizations underwent standardized tests for domain-specific neuropsychological outcomes: general intellectual function, speech and language, verbal memory, attention and executive function, tics, achievement, visual spatial ability, and behavior regulation. Vaccination histories up to 24 months of age were obtained from medical charts, electronic records, and parents' records. Logistic regressions and structural equation modeling (SEM) were used to determine associations between total antigens up to 7, 12, and 24 months and domain-specific outcomes. RESULTS: On average, children (N = 1047) received 7266, 8127, and 10 341 antigens by ages 7, 12, and 24 months, respectively. For adjusted analyses, increase (per 1000) in the number of antigens was not associated with any neuropsychological outcomes. Antigen counts above the 10th percentile, compared with lower counts, were also not associated with any adverse outcomes. However, children with higher antigen counts up to 24 months performed better on attention and executive function tests (odds ratio for lower scores = 0.51, 95% confidence interval = 0.26, 0.99). Similar results were found with SEM analysis (b = 0.08, p = 0.02). CONCLUSIONS: We did not find any adverse associations between antigens received through vaccines in the first two years of life and neuropsychological outcomes in later childhood.

In this issue of EPIDEMIOLOGY, Goldstein and colleagues1 present “a new statistical method for estimating influenza-related mortality” using recent US mortality and influenza data sources. They propose that their method is an advance over previous methods2–13 for estimating influenza disease burden. Strengths of their approach include: (1) the accommodation of nonlinear mortality effects of specific influenza types and subtypes over time; (2) the use of a logical method to model exposure to influenza; and (3) an assessment of autocorrelation in the time series. There are also some limitations, which include (1) questionable statistical assumptions in the use of linear regression models for weekly data with low frequency counts; (2) neglect of recent advances in time-series modeling; (3) a complex and nonparsimonious model; and (4) lack of comparisons of influenza-associated mortality estimates with those from the published literature using similar outcomes.

This study investigated associations between chronic medical conditions, activities of daily living (ADL), and health-related quality of life (HRQOL). Our findings suggest that the number of ADL limitations reported by older adults is associated with their HRQOL. Findings from our analyses also suggest that the association between having multiple comorbid conditions and HRQOL is stronger for those with no ADL limitations than those with at least some limitations. These data will aid practitioners in determining the relative importance of chronic medical conditions and ADL limitations on HRQOL and demonstrate how ADL limitations and comorbid conditions may differentially impact HRQOL.

Evaluating collaboration between community partners presents a series of methodological challenges (Roussos and Fawcett in Annu Rev Public Health 21:369-402, 2000; Yin and Kaftarian 1997), one of which is selection of the appropriate level of analysis. When data are collected from multiple members of multiple settings, multilevel analysis techniques should be used. Multilevel confirmatory factor analysis (MCFA) is an analytic approach that incorporates the advantages of latent variable measurement modeling and multilevel modeling for nested data. This study utilizes MCFA on data obtained from an evaluation survey of collaborative functioning provided to members of 157 community collaboratives in Georgia. This study presents a well-fitting measurement model that includes five dimensions of collaborative functioning, and a structural component with individual- and collaborative-level covariates. Findings suggest that members' role and meeting attendance significantly predicted their assessment of collaboration at the individual level, and that tenure of collaborative leaders predicted the overall functioning of the collaborative at the collaborative level. Dimensionality of collaborative functioning and implications of potentially substantial measurement biases associated with selection of respondents are addressed.

OBJECTIVES: We examined factors that influence health-related quality of life (HRQOL) among individuals aged 50 years and older with and without functional limitations. METHODS: We analyzed data from the 2009 Behavioral Risk Factor Surveillance System to assess associations among demographic characteristics, health care access and utilization indicators, modifiable health behaviors, and HRQOL characterized by recent physically and mentally unhealthy days in those with and those without functional limitations. We defined functional limitations as activity limitations owing to physical, mental, or emotional health or as the need for special equipment because of health. RESULTS: Age, medical care costs, leisure-time physical activity, and smoking were strongly associated with both physically and mentally unhealthy days among those with functional limitations. Among those without functional limitations, the direction of the effects was similar, but the size of the effects was substantially smaller. CONCLUSIONS: The availability of lower cost medical care, increasing leisure-time physical activity, and reducing rates of cigarette smoking will improve population HRQOL among older adults with and without functional limitations. These factors provide valuable information for determining future public health priorities.

OBJECTIVE: The authors used a public use data set to investigate associations between the receipt of thimerosal-containing vaccines and immune globulins early in life and neuropsychological outcomes assessed at 7-10 years. METHODS: The data were originally created by evaluating 1,047 children ages 7-10 years and their biological mothers. This study developed seven latent neuropsychological factors and regressed them on a comprehensive set of covariates and thimerosal exposure variables. RESULTS: The authors found no statistically significant associations between thimerosal exposure from vaccines early in life and six of the seven latent constructs. There was a small, but statistically significant association between early thimerosal exposure and the presence of tics in boys. CONCLUSIONS: This finding should be interpreted with caution due to limitations in the measurement of tics and the limited biological plausibility regarding a causal relationship.