Pap test recency and HPV vaccination among Brazilian immigrant women in the United States: a cross-sectional study.

BACKGROUND: The United States (U.S.) has a growing population of Brazilian immigrant women. However, limited research has explored Pap tests and human papillomavirus (HPV) vaccination among this population. METHODS: Participants completed an online survey between July-August 2020. Bivariate analyses examined associations between healthcare-related variables (e.g., insurance, having a primary care provider) and demographics (e.g., age, education, income, marital status, years living in the U.S., primary language spoken at home) with 1) Pap test recency (within the past 3 years) and 2) HPV vaccination (0 doses vs. 1 + doses). Variables significant at p < 0.10 in bivariate analyses were included in multivariable logistic regression models examining Pap test recency and HPV vaccination. RESULTS: The study found that 83.7% of the sample had a Pap test in the past three years. Women who did not know their household income were less likely to be than women who reported a household income of < $25,000 (adjusted OR [aOR] = 0.34, 95% CI: 0.12, 0.95). Women who had seen a healthcare provider in the past year were more likely to have had a Pap test within the last three years than those who had not seen a provider in the past year ([aOR] = 2.43, 95% CI: 1.32, 4.47). Regarding HPV vaccination, 30.3% of respondents reported receiving one or more doses of the HPV vaccine. The multivariable logic regression models determined that women aged 27 -45 (aOR = 0.35, 95% CI: 0.18, 0.67) were less likely than women aged 18-26 to have been vaccinated against HPV). and that women with a PCP were more likely to be vaccinated than those without a PCP (aOR = 2.47. 95% CI:1.30, 4.59). CONCLUSION: This study found that Brazilian immigrant women in the youngest age groups (21 - 29) for Pap test, 18- 26 for HPV vaccination) had somewhat better rates of Pap screening and HPV vaccination than the general U.S. POPULATION: This study adds new information about cervical cancer prevention and control behaviors among Brazilian immigrant women.

Learner Perception of Disaster Simulation Modalities: A Pilot Study.

BACKGROUND: Both simulation and tabletop exercises are used in disaster training, but the efficacy of one approach versus the other is lacking. PURPOSE: This pilot study explored the satisfaction, confidence, and perception of effectiveness among nursing students regarding 2 disaster preparedness training methods: simulation and tabletop exercises. METHODS: A comparative quasi-experimental design assessed the effectiveness of 2 simulation experiences. Validated effectiveness and confidence survey tools were completed by 126 self-selected senior prelicensure baccalaureate nursing students after the completion of simulation experiences. RESULTS: Tabletop exercises may be more effective to build confidence and understand pathophysiology. Full-scale simulations may be more effective in facilitating participant expression of feelings and providing a constructive evaluation of the simulation. CONCLUSIONS: Variability among facilitators may have impacted the results of this pilot project. Further research is needed to enhance understanding of the effectiveness of tabletop and full-scale simulations for disaster preparedness in nursing education.

Geographic differences in the magnitude of black-white disparities in having obesity.

Background: Obesity disparities in the United States are well documented, but the limited body of research suggests that geographic factors may alter the magnitude of these disparities. A growing body of evidence has identified a "rural mortality penalty" where morbidity and mortality rates are higher in rural than urban areas, even after controlling for other factors. Black-White differences in health and mortality are more pronounced in rural areas than in urban areas. Objective: Therefore, the purpose of this study was to explore how rural-urban status and region moderate Black-White health disparities in obesity. Methods: Data were abstracted from the 2012 Behavioral Risk Factor Surveillance System, with the sample being restricted to Black and White respondents (n = 403,231). Respondents' county of residence was linked to US Census information to obtain the county-level Index of Relative Rurality (IRR) and Census division. Crude and adjusted logistic regression models were utilized to assess the magnitude of Black-White disparities in having obesity (yes/no) by IRR quartile and by Census division. Results: Overall, Black-White differences in obesity were wider in rural than in urban counties, with a significant linear trend (p < 0.001). Furthermore, when stratified by US Census division, results revealed that disparities were significantly wider in rural than urban areas for respondents living in the Middle Atlantic and South Atlantic divisions. In contrast, the association was reversed for the remaining divisions (New England, East North Central, West North Central, Mountain, and Pacific), where the magnitude of the Black-White difference was the largest in urban areas. Conclusion: Findings highlight the need to understand and account for critical place-based factors that exacerbate racial obesity disparities to develop and maximize the effectiveness of policies and programs designed to reduce racial inequalities and improve population health.

Income and rural-urban status moderate the association between income inequality and life expectancy in US census tracts.

BACKGROUND: A preponderance of evidence suggests that higher income inequality is associated with poorer population health, yet recent research suggests that this association may vary based on other social determinants, such as socioeconomic status (SES) and other geographic factors, such as rural-urban status. The objective of this empirical study was to assess the potential for SES and rural-urban status to moderate the association between income inequality and life expectancy (LE) at the census-tract level. METHODS: Census-tract LE values for 2010-2015 were abstracted from the US Small-area Life Expectancy Estimates Project and linked by census tract to Gini index, a summary measure of income inequality, median household income, and population density for all US census tracts with non-zero populations (n = 66,857). Partial correlation and multivariable linear regression modeling was used to examine the association between Gini index and LE using stratification by median household income and interaction terms to assess statistical significance. RESULTS: In the four lowest quintiles of income in the four most rural quintiles of census tracts, the associations between LE and Gini index were significant and negative (p between < 0.001 and 0.021). In contrast, the associations between LE and Gini index were significant and positive for the census tracts in the highest income quintiles, regardless of rural-urban status. CONCLUSION: The magnitude and direction of the association between income inequality and population health depend upon area-level income and, to a lesser extent, on rural-urban status. The rationale behind these unexpected findings remains unclear. Further research is needed to understand the mechanisms driving these patterns.

Demographic and Clinical Predictors of Pharmacist-Administered Pediatric Influenza Immunization.

Background: Pediatricians' offices are primary locations for pediatric influenza vaccination; however, pharmacists are also well-positioned as immunizers. Considering the current COVID-19 pandemic and Public Readiness and Emergency Preparedness (PREP) Act, pharmacists' authority to vaccinate children has been recently expanded. Methods: We used the de-identified Optum ClinformaticsTM Data Mart database to identify demographic and clinical predictors of pharmacist-administered pediatric influenza vaccination compared with influenza vaccination in pediatricians' offices. Procedures codes for influenza vaccinations among children were captured for the 2016-2017 influenza season. Logistic regression was used to identify significant predictors. Results: We included 336 841 children receiving influenza vaccines by a pharmacist (5.2%) or in pediatricians' offices (94.8%). The following significant predictors were identified: older pediatric age groups (13-17 years odds ratio [OR] 91.51, 5-12 years OR 35.41), states allowing pharmacist-administered influenza vaccination at younger ages (no age restrictions OR, 26.68, minimum age 2-4 years old OR, 33.76), influenza vaccination outside of pediatricians' offices in the previous year (pharmacist-administered OR, 22.18, convenience care OR 4.15, emergency care OR 1.69), geographic region (South OR, 2.02, Midwest OR 1.60, and West OR 1.38), and routine health exam or follow-up in the prior 6-months (OR, 1.59). Conclusions: The strongest drivers of pharmacist-administered pediatric influenza vaccination were older pediatric age, more lenient minimum age restrictions, and previous influenza vaccination in a pharmacy. Due to the COVID-19 pandemic, the PREP Act, and forthcoming pediatric COVID-19 vaccines for children, pharmacists may play a greater role in pediatric vaccination resulting in sustained changes in pediatric vaccination practices.

Does Healthcare Provider Counseling for Weight Management Behaviors among Hispanic Adults Who Are Overweight/Obese Vary by Acculturation Level?

This cross-sectional study explored differences in the receipt of health care provider (HCP) counseling to control/lose weight and adopt weight-related lifestyle behavior changes among Hispanic respondents according to acculturation level. Differences in reported action regarding HCP counseling were also examined. Data from four National Health and Nutrition Examination Survey (NHANES) cycles (2011-2018) were analyzed, with the analytic sample limited to Hispanic respondents who were overweight/obese. Respondents' acculturation levels were derived from their reported country of origin and the primary language spoken at home. Respondents who reported speaking only Spanish or more Spanish than English at home were classified as primarily speaking Spanish at home. In contrast, those who reported speaking Spanish and English equally, more English than Spanish, or only English were categorized as primarily speaking English at home. Weighted multivariate logistic regression models were utilized to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to determine if differences in acculturation levels existed regarding the likelihood of receiving HCP counseling to (1) control/lose weight, (2) increase exercise/PA, and (3) reduce fat/calorie intake. Similar analyses examined differences in reported action regarding HCP counseling according to acculturation level. The analysis found no significant differences in receiving HCP counseling according to acculturation level. However, non-US-born respondents who primarily spoke Spanish at home were less likely than US-born respondents to report acting to control/lose weight (p = 0.009) or increase exercise/PA (p = 0.048), but were more likely to report having taken action to reduce fat/calorie intake (p = 0.016). This study revealed differences between acting on recommendations of health care professionals according to acculturation level, indicating a need for interventions tailored to acculturation levels.

Aging in Rural Communities.

Purpose of Review: Population aging is occurring worldwide, particularly in developed countries such as the United States (US). However, in the US, the population is aging more rapidly in rural areas than in urban areas. Healthy aging in rural areas presents unique challenges. Understanding and addressing those challenges is essential to ensure healthy aging and promote health equity across the lifespan and all geographies. This review aims to present findings and evaluate recent literature (2019-2022) on rural aging and highlight future directions and opportunities to improve population health in rural communities. Recent Findings: The review first addresses several methodological considerations in measuring rurality, including the choice of measure used, the composition of each measure, and the limitations and drawbacks of each measure. Next, the review considers important concepts and context when describing what it means to be rural, including social, cultural, economic, and environmental conditions. The review assesses several key epidemiologic studies addressing rural-urban differences in population health among older adults. Health and social services in rural areas are then discussed in the context of healthy aging in rural areas. Racial and ethnic minorities, indigenous peoples, and informal caregivers are considered as special populations in the discussion of rural older adults and healthy aging. Lastly, the review provides evidence to support critical longitudinal, place-based research to promote healthy aging across the rural-urban divide is highlighted. Summary: Policies, programs, and interventions to reduce rural-urban differences in population health and to promote health equity and healthy aging necessitate a context-specific approach. Considering the cultural context and root causes of rural-urban differences in population health and healthy aging is essential to support the real-world effectiveness of such programs, policies, and interventions.

Pharmacist-Administered Influenza Vaccination in Children and Corresponding Regulations.

In our retrospective cohort study, we evaluated trends in pharmacist-administered pediatric influenza vaccination rates in the United States and corresponding state-level pharmacist pediatric vaccination authorization models, including minimum age requirements, vaccination protocols, and/or prescription requirements. An administrative health claims database was used to capture influenza vaccinations in children less than 18 years old with 1 year of continuous enrollment and joinpoint regression was used to assess trends. Of the 3,937,376 pediatric influenza vaccinations identified over the study period, only 3.2% were pharmacist-administered (87.7% pediatrician offices, 2.3% convenience care clinics, 0.8% emergency care, and 6.0% other locations). Pharmacist-administered pediatric influenza vaccination was more commonly observed in older children (mean age 12.65 ± 3.26 years) and increased significantly by 19.2% annually over the study period (95% confidence interval 9.2%-30.2%, p < 0.05). The Northeast, with more restrictive authorization models, represented only 2.2% (n = 2816) of all pharmacist-administered pediatric influenza vaccinations. Utilization of pharmacist-administered pediatric influenza vaccination remains low. Providing children with greater access to vaccination with less restrictions may increase overall vaccination rates. Due to the COVID-19 pandemic and the Public Readiness and Emergency Preparedness Act, pharmacists will play a major role in vaccinating children.

Pediatric influenza vaccination rates lower than previous estimates in the United States.

BACKGROUND: Annually, pediatric influenza vaccination coverage estimates are ascertained from health surveys, such as the National Immunization Survey (NIS-Flu). From 2010 to 2017, vaccination coverage among children ranged from 51 to 59 %. Recognizing the limitations of national health survey data, we sought to describe temporal trends in pediatric influenza vaccination coverage, and demographic differences among a commercially insured large national cohort from 07/01/2010 to 06/30/2017. METHODS: Influenza vaccination coverage was assessed among children (<18 years) with continuous enrollment in the de-identified Optum Clinformatics® Data Mart database, and from NIS-Flu. Time trends in vaccination coverage were assessed using Joinpoint regression, overall and stratified by age group, sex, and geographic region. RESULTS: The average annual pediatric influenza vaccination coverage was 33.4 % in our study population versus 56.5 % reported from NIS-Flu during the same period (p-value < 0.0001). Vaccination coverage was highest in children 6 months-4-years old at 52.6 % (versus 68.8 % NIS-Flu, p-value < 0.0001), and lowest in the 13-17-year-old age group at 20.1 % (versus 42.8 % NIS-Flu, p-value < 0.0001). Vaccination coverage over time remained stable in our study population (average annual percent change 1.8 %, 95 % confidence interval [CI] -2.3 % to 6.0 %) versus significantly increasing by 2.8 % in NIS-Flu (95 % CI 0.3 % to 5.3 %). CONCLUSIONS: Vaccination coverage in our commercially insured pediatric population was 51.4% lower than estimates from NIS-Flu during the same period, suggesting the need for more accurate vaccination coverage surveillance, which will also be critical in future COVID-19 vaccination efforts. Effective interventions are needed to increase pediatric influenza vaccination rates to the Healthy People 2020 target of 70%.

Moderation of the Association between Primary Language and Health by Race and Gender: An Intersectional Approach.

In the United States (US), limited English proficiency is associated with a higher risk of obesity and diabetes. "Intersectionality", or the interconnected nature of social categorizations, such as race/ethnicity and gender, creates interdependent systems of disadvantage, which impact health and create complex health inequities. How these patterns are associated with language-based health inequities is not well understood. The study objective was to assess the potential for race/ethnicity, gender, and socioeconomic status to jointly moderate the association between primary language (English/Spanish) and having obesity and diabetes. Using the 2018 Behavioral Risk Factor Surveillance System (n = 431,045), weighted generalized linear models with a logistic link were used to estimate the associations between primary language (English/Spanish) and obesity and diabetes status, adjusting for confounders using stratification for the intersections of gender and race/ethnicity (White, Black, Other). Respondents whose primary language was Spanish were 11.6% more likely to have obesity (95% CI 7.4%, 15.9%) and 15.1% more likely to have diabetes (95% CI 10.1%, 20.3%) compared to English speakers. Compared to English speakers, Spanish speakers were more likely to have both obesity (p < 0.001) and diabetes (p < 0.001) among White females. Spanish speakers were also more likely to have obesity among males and females of other races/ethnicities (p < 0.001 for both), and White females (p = 0.042). Among males of other racial/ethnic classifications, Spanish speakers were less likely to have both obesity (p = 0.011) and diabetes (p = 0.005) than English speakers. Health promotion efforts need to recognize these differences and critical systems−change efforts designed to fundamentally transform underlying conditions that lead to health inequities should also consider these critical sociodemographic factors to maximize their effectiveness.

Black/White Disparities in Obesity Widen with Increasing Rurality: Evidence from a National Survey.

Background: Racial health disparities in obesity and obesity-related conditions and behaviors are well documented, although a small body of research suggests that geographic factors (e.g., socioeconomic status [SES] and rural/urban status) may alter the magnitude of these disparities. Methods: This study explored how rurality moderates black/white health disparities using a nationally representative sample from the 2012 Behavioral Risk Factor Surveillance System (n=359,157). Respondents' county of residence was linked to the U.S. Census information to obtain the county-level Index of Relative Rurality (IRR). Weighted logistic regression was used to model obesity, diabetes, and lack of physical activity (PA) on race (black/white), IRR, and an interaction term of race and IRR, including covariates (age, sex, education, marital status, employment, and income). Results: Blacks were significantly more likely to have obesity, diabetes, and a lack of PA compared with whites. Irrespective of race, rural respondents were significantly more likely to have obesity (odds ratio [OR] 1.035, confidence interval [95% CI] 1.028-1.043) and a lack of PA (OR 1.045, 95% CI 1.038-1.053) than respondents in more urban areas. For obesity and diabetes, the interaction term for black×IRR quintile was significant and positive, indicating an increase in the magnitude of the black/white disparity with increasing rurality. Discussion: These findings underscore the need for policies and programs aimed to reduce racial disparities in obesity and related conditions to consider the geographic context in which these outcomes occur.

Gender and Racial/Ethnic Disparities in Social Determinants of Health and Subjective Cognitive Decline: The Mediating Role of Depression.

Social determinants of health (SDOH) may be associated with subjective cognitive decline (SCD), which is a precursor for Alzheimer's disease. The main aims of the current study were to examine the association between SDOH and SCD; to determine if there is an indirect pathway among SDOH, depression, and SCD; and to examine the related gender and racial/ethnic disparities. Cross-sectional data were obtained from the 2017 Behavioral Risk Factor Surveillance System Survey (N = 6,509; 2,530 men and 3,978 women aged ≥45 years). Path analyses (stratified by gender and race) were used to determine the relationship between a SDOH index, depression, and SCD. After controlling for gender, age, income, education, employment, and other health-related behaviors, SDOH were positively associated with SCD among the overall population, men, and White populations. SDOH were associated with depression, and depression was associated with SCD among men, women, and White and Black populations. After adjustment for confounders, the indirect pathway among SDOH, depression, and SCD was statistically significant for men (ß = 0.035, p < 0.001), women (ß = 0.040, p < 0.001), White populations (ß = 0.034, p < 0.001), and Black populations (ß = 0.036, p = 0.026). Gender and racial/ethnic disparities existed in the relationship among SDOH, depression, and SCD. Future research should assess alternative mediational pathways between SDOH and SCD. [Journal of Gerontological Nursing, 48(2), 13-22.].

Sleep Quality Among Informal Caregivers During the COVID-19 Pandemic: A Cross-Sectional Study.

Sleep is an integral component of health. The impact of the COVID-19 pandemic on sleep quality among informal caregivers, individuals who provide unpaid care or assistance to family members or friends, assisting older adults is not well understood. Therefore, informal caregivers in the United States providing care for individuals aged 50+ were recruited via Amazon's Mechanical Turk, an online platform for enrolling study participants into social and behavioral science research, to complete an online survey. The sample of informal caregivers (n = 835) was 69% male and 55% non-Hispanic. Multivariable linear regression models were constructed to assess the associations between sleep disturbance scores (SDS) and sleep-related impairment scores (SIS) and caregiving-related measures (hours caregiving/week, length of time spent caregiving, and caregiver burden), demographics, and region of the United States. The analysis determined that Black (ß = 2.6, 95% CI [-4.3, -0.9]) and Asian informal caregivers (ß = -1.8, 95% CI [-3.4, -0.3]) had lower mean SIS than White caregivers, the referent group. In addition, increasing caregiver burden was associated with increased SDS (ß = 0.8, 95% CI [0.6, 1.0]) and SIS (ß = 1.3, 95% CI [0.7, 1.6]). In conclusion, higher caregiver burden was associated with higher SIS and SDS, suggesting that informal caregivers' sleep should be assessed, and when needed interventions should be offered.

Rural-urban differences in informal caregiving and health-related quality of life.

OBJECTIVES: Rural-urban health disparities are pervasive among older adults. Rural US locations have a disproportionately high population of older adults, have reduced access to services, and are therefore more reliant on family and friends for care. However, little is known about rural-urban disparities among the 40+ million informal caregivers nationwide. There is a critical need to understand how rural-urban disparities impact caregiving experiences and health-related quality of life (HRQoL). The objectives of this study were to assess rural-urban differences in informal caregiving status, caregiving intensity (caregiving hours/week and types of care provided), and caregiver HRQoL. METHODS: Data were abstracted from the 2018 Behavioral Risk Factor Surveillance System. The primary measure of rural-urban status was "metropolitan status." Associations between rural-urban status and caregiving and rural-urban differences in caregiving intensity and HRQoL were examined using generalized linear models, controlling for confounding and accounting for complex sampling. RESULTS: Rural respondents were more likely to be caregivers than urban respondents (OR = 1.17, 95% CI: 1.02-1.34). After adjustment for confounders, rural caregivers were more likely than urban caregivers to provide 20 or more hours of caregiving per week (OR 1.38, 95% CI: 1.07-1.77), although the findings for health and HRQoL were somewhat mixed. CONCLUSION: Results indicate that rural older adults offer more care than urban counterparts, which may have implications for caregiver health, well-being, and quality of life. These results can inform policies designed to improve caregiver health, and facilitate the translation and adaptation of existing policies, programs, and interventions to address rural caregivers' needs.

Rural-Urban Differences in Caregiver Burden Due to the COVID-19 Pandemic among a National Sample of Informal Caregivers.

The objective of this exploratory study was to explore potential associations between changes to caregiver burden (CB) due to the COVID-19 pandemic and rural-urban status using a nationally representative sample of 761 informal caregivers. Tertiles of two measures of rural-urban status were used: Rural-Urban Commuting Areas (RUCAs) and population density. Bivariate and multivariable binary and ordinal logistic regression were used to asses study objectives. Using RUCAs, rural informal caregivers were more than twice as likely as urban informal caregivers to report a substantial increase in CB due to COVID-19 (OR 2.27, 95% CI [1.28-4.02]). Similar results were observed for population density tertiles (OR 2.20, 95% CI [1.22-3.96]). Having a COVID-19 diagnosis was also significantly associated with increased CB. Understanding and addressing the root causes of rural-urban disparities in CB among informal caregivers is critical to improving caregiver health and maintaining this critical component of the healthcare system.

Self-reported changes in physical activity, sedentary behavior, and screen time among informal caregivers during the COVID-19 pandemic.

BACKGROUND: Informal caregivers providing unpaid assistance may be vulnerable to changes in health behaviors due to modifications in caregiving during the COVID-19 pandemic. Therefore, this cross-sectional study explored self-reported changes in physical activity (PA), sedentary behavior, and screen time among informal caregivers providing care for older adults aged 50+ during the pandemic. METHODS: Study participants were recruited via Amazon's Mechanical Turk and reported their perceived changes (increased a lot, increased a little, remained the same, decreased a little, decreased a lot) in moderate-intensity PA (MPA), vigorous-intensity PA (VPA), sedentary behavior, and screen time (weekday and weekend) during the pandemic. For analytic purposes, response categories were categorized into three-level ordinal variables-increased (increased a lot, increased a little), no change (remained the same), decreased (decreased a little, decreased a lot). Multinomial logistic regression models assessed the likelihood of changes (vs. no change) in  MPA,  VPA, sedentary behavior, and screen time (weekday, weekend) based on caregiving and demographic characteristics. RESULTS: In total, 2574 individuals accessed the study link, 464 of whom did not meet eligibility requirements. In addition, people who completed 80% or less of the survey (n = 1171) and/or duplicate IP addresse (n = 104) were excluded, resulting in an analytic sample of n = 835. The sample was 69% male, had a mean age of 34 (SD = 9.7), and 48% reported increased VPA, while 55% reported increased MPA. The majority also reported increased sedentary behavior, as well as increased screen time. Respondents living with their care recipient were more likely to report increased weekday screen time (Odds Ratio [OR] = 1.55, 95% CI 1.11-2.16) and sedentary behavior (OR = 1.80, 95% CI 1.28-2.53) than respondents not living with the care recipient. Those living with their care recipient were also more likely to reported increased MPA (OR = 1.64, 95% CI 1.16-2.32), and VPA (OR = 1.53, 95% CI 1.09-2.15), but also more likely to report a decrease in VPA (OR = 1.75, 95% CI 1.14-2.70). CONCLUSION: The majority of respondents reported that their MPA, VPA PA, sedentary behavior, and screen time had changed during the pandemic. Living with the care recipient was associated with both positive and negative changes in behavior. Future research can explore factors associated with these reported changes in behavior.

Differences in Caregiving Intensity Among Distinct Sociodemographic Subgroups of Informal Caregivers: Joint Effects of Race/Ethnicity, Gender, and Employment.

More than 40 million informal caregivers in the United States provide essential care to older adults. Recent research has identified substantial differences in caregiving intensity by gender, race/ethnicity, and employment status. Using intersectionality theory, the current study extends the existing literature by exploring the relationship between caregiving intensity and the unique experiences of individuals with different intersections of gender, ethnicity, and employment. We used generalized linear models to estimate multivariate associations between caregiving intensity assessed by three different measures (hours of caregiving per month and number of activities of daily living and instrumental activities of daily living [IADLs] assisted with) and the three sociodemographic factors of interest (race/ethnicity, gender, and employment status). Unemployed White males provided, on average, 77 fewer hours per month of care (p < 0.001) and assisted with 1.9 fewer IADLs (p = 0.004) than unemployed Black males. Employed White females provided 42.6 fewer hours per month of care (p = 0.002) than employed Black females and 49.2 fewer hours per month (p = 0.036) than employed females of other races. Study findings suggest that examining racial/ethnic or gender differences in isolation does not provide a true picture of differences in caregiving intensity. There is a critical need to understand how the intersections of race/ethnicity, gender, employment, and other sociodemographic factors shape the experiences of caregiver subgroups. [Journal of Gerontological Nursing, 47(7), 23-32.].

Validating the Psychosocial Functioning during COVID-19 Questionnaire among a Sample of Informal Caregivers.

The COVID-19 pandemic has had a dramatic impact on global economies and societies. Although social distancing policies are needed to contain the spread and impact of COVID-19, they also impose a psychological and economic burden on people who are already experiencing increased distress such as caregivers. Yet, few measures have been developed and validated to measure the psychosocial impact of COVID-19. Utilizing item response theory (IRT), the purpose of this study was to develop and psychometrically validate a measure of psychosocial functioning-the Psychosocial Functioning during COVID-19 (PFC-19) Questionnaire-to assess changes in social interaction, mental health, health behavior, and global functioning among a sample of informal caregivers during the COVID-19 pandemic. The analytic sample (n = 733) was recruited from Amazon Mechanic Turk (MTurk) (69% male, 55% white). Results suggest a two-factor measure, assessing global functioning (14 items) and affective response (8 items), with strong evidence for reliability, validity, and dimensionality. Future research should replicate this factor structure in other samples.