Evaluating the Accuracy of 2020 Census Block-Level Estimates in California.

In this study, we provide an assessment of data accuracy from the 2020 Census. We compare block-level population totals from a sample of 173 census blocks in California across three sources: (1) the 2020 Census, which has been infused with error to protect respondent confidentiality; (2) the California Neighborhoods Count, the first independent enumeration survey of census blocks; and (3) projections based on the 2010 Census and subsequent American Community Surveys. We find that, on average, total population counts provided by the U.S. Census Bureau at the block level for the 2020 Census are not biased in any consistent direction. However, subpopulation totals defined by age, race, and ethnicity are highly variable. Additionally, we find that inconsistencies across the three sources are amplified in large blocks defined in terms of land area or by total housing units, blocks in suburban areas, and blocks that lack broadband access.

The intersection of social determinants of health and family care of people living with Alzheimer's disease and related dementias: A public health opportunity.

In this Perspective article, we highlight current research to illustrate the intersection of social determinants of health (SDOHs) and Alzheimer's disease and related dementia (ADRD) caregiving. We then outline how public health can support ADRD family caregivers in the United States. Emerging research suggests that family care for persons with ADRD is influenced by SDOHs. Public health actions that address these intersections such as improved surveillance and identification of ADRD caregivers; building and enhancing community partnerships; advancing dementia-capable health care and related payment incentives; and reducing the stigma of dementia and ADRD caregiving can potentially enhance the health and well-being of dementia caregivers. By engaging in one or all of these actions, public health practitioners could more effectively address the myriad of challenges facing ADRD caregivers most at risk for emotional, social, financial, psychological, and health disruption.

Differential item functioning of the Acculturation, Habits, and Interests Multicultural Scale for Adolescents (AHIMSA) by race/ethnicity.

Background: Acculturation is a complex multidimensional construct that plays in important role in various outcomes across many domains (e.g., psychological, behavioral, social, and developmental). While there are many acculturation measures for specific racial/ethnic groups, few multigroup measures exists. Even fewer have been psychometrically evaluated for differential item functioning (DIF; e.g., measurement invariance). This is a critical step in determining whether item properties are equivalent across groups and thus, whether scores obtained from different groups are in fact comparable. Methods: The Acculturation, Habits, and Interests, Multicultural Scale for Adolescents (AHIMSA) was completed by first and second generation participants identifying as White, Hispanic, or Asian (n = 1,399). The scale can be used to compute scores on four acculturation orientation subscales: Assimilated, Separated, Integrated, and Marginalized. Racial/ethnic DIF was evaluated for the Assimilation, Integration, and Separation subscales. Results: Analyses revealed racial/ethnic DIF was present for two items on the Separation scale based on McFadden's pseudo R2. No DIF was identified for the Assimilation and Integration scales. Supplemental analyses revealed no evidence of longitudinal DIF or by generation status and some DIF by sex for Assimilation and Integration. Based on evaluation of test characteristic curves and DIF plots, it was determined that DIF was trivial and could likely be ignored. Conclusions: Psychometric properties were generally equivalent across the three racial/ethnic groups for each of the subscales evaluated. This indicates that scores obtained from each subscale could be compared across racial/ethnic groups. By establishing cross-group usability of the scale, racial/ethnic differences in acculturation orientation can be examined, and, more importantly, used in the context of research on related mental, physical, and behavioral health outcomes.

Loneliness and multiple health domains: associations among emerging adults.

Emerging adults (18-25 years), particularly racially/ethnically diverse and sexual and gender minority populations, may experience loneliness following major life transitions. How loneliness relates to health and health disparities during this developmental period is not well understood. We examine associations of loneliness with physical (self-rated health), behavioral (alcohol/marijuana consequences; nicotine dependence), and health behavior outcomes (weekday and weekend sleep; trouble sleeping), and investigate moderating effects by sex, race/ethnicity, and sexual/gender minority (SGM) status. Adjusted models using cross-sectional data from 2,534 emerging adults, predominantly in California, examined associations between loneliness and each outcome and tested interactions of loneliness with sex, race/ethnicity, and SGM status. Higher loneliness was significantly associated with worse self-rated health, higher marijuana consequences, less weekday sleep, and greater odds of feeling bothered by trouble sleeping. None of the interactions were significant. Findings suggest that interventions to reduce loneliness may help promote healthy development among emerging adults across subgroups.

Examining Associations Between Licensed and Unlicensed Outlet Density and Cannabis Outcomes From Preopening to Postopening of Recreational Cannabis Outlets.

BACKGROUND AND OBJECTIVES: To expand on epidemiologic studies examining associations between the legalization of recreational cannabis and use among young adults, we examined the associations between licensed and unlicensed cannabis outlet density and cannabis outcomes. METHODS: A total of 1097 young adults aged 21 and older living in Los Angeles County were surveyed before licensed recreational cannabis outlets opened (Time 1: July to December 2017) and after (Time 2: July 2018 to June 2019). Using a database of open licensed and unlicensed cannabis retailers to calculate individual-level cannabis outlet density measures, we examined associations between outlet density within a 4-mile radius of participants' residences with Time 2 outcomes of any past-month use, daily use, intentions to use, quantity used, consequences, and cannabis use disorder (CUD) symptoms. RESULTS: After controlling for demographic factors and cannabis outcomes at a time point prior to their opening (Time 1), licensed cannabis outlets were associated with young adults' cannabis use, heavy use, and intentions, and unlicensed outlets were associated with young adults' heavy cannabis use and CUD symptoms. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: This study expands beyond studies of outlet prevalence to find that, after controlling for outcomes 1 year prior, licensed and unlicensed outlets were associated with young adults' cannabis outcomes. The current study is among the first to find associations between cannabis use outcomes and density of cannabis outlets among young adults using data from two time points: preopening and postopening of recreational cannabis retailers. Findings can inform policies around the density and placement of cannabis outlets. (Am J Addict 2020;00:00-00).

Robust estimation of the causal effect of time-varying neighborhood factors on health outcomes.

The fundamental difficulty of establishing causal relationships between an exposure and an outcome in observational data involves disentangling causality from confounding factors. This problem underlies much of neighborhoods research, which abounds with studies that consider associations between neighborhood characteristics and health outcomes in longitudinal data. Such analyses are confounded by selection issues; individuals with above average health outcomes (or associated characteristics) may self-select into advantaged neighborhoods. Techniques commonly used to assess causal inferences in observational longitudinal data, such as inverse probability of treatment weighting (IPTW), may be inappropriate in neighborhoods data due to unique characteristics of such data. We advance the IPTW toolkit by introducing a procedure based on a multivariate kernel density function which is more appropriate for neighborhoods data. The proposed weighting method is applied in conjunction with a marginal structural model. Our empirical analyses use longitudinal data from the Health and Retirement Study; our exposure of interest is an index of neighborhood socioeconomic status (NSES), and we examine its influence on cognitive function. Our findings illustrate the importance of the choice of method for IPTW-the comparison weighting methods provide poor balance across the set of covariates (which is not the case for our preferred procedure) and yield misleading results when applied in the outcomes models. The utility of the multivariate kernel is also validated via simulation. In addition, our findings emphasize the importance of IPTW-controlling for covariates within a regression without IPTW indicates that NSES affects cognition, whereas IPTW-weighted models fail to show a statistically significant effect.

Correlates of Awareness and Use of Heated Tobacco Products in a Sample of US Young Adults in 2018-2019.

INTRODUCTION: Tobacco companies have devoted increased resources in recent years to developing and marketing heated tobacco products (HTPs) as alternatives to combustible products like cigarettes. However, little is known about correlates of awareness and use of these products in American young adults. METHODS: Two thousand four hundred ninety-seven young adults (mean age = 21.6) completed survey items on HTP awareness and lifetime use in 2018-2019. Logistic regression models compared young adults who were (1) unaware of HTPs (reference group) with those who were, (2) aware of HTPs, and (3) had ever used HTPs on demographic, tobacco, and other substance use characteristics. Among current smokers, these groups were compared on cigarette use, dependence, and readiness to quit. RESULTS: Approximately 12% of respondents (n = 293) were aware of HTPs, and 5% (n = 134) reported lifetime HTP use. Controlling for demographics, HTP awareness and use were both associated with greater use of all types of tobacco products, number of different tobacco products, and use of marijuana and other drugs. Among current smokers, HTP awareness and use correlated with heavier cigarette consumption, greater dependence, and past-month marijuana use, but not with recent quit attempts or thinking about quitting cigarettes. CONCLUSIONS: Awareness and use of HTPs among young adults were associated with greater use of tobacco products and other substances and, among current smokers, with greater cigarette dependence (but not cessation-related factors). As these products become increasingly available in the United States, additional surveillance and monitoring activities are needed to better understand use patterns, consequences, and reasons for using HTPs. IMPLICATIONS: Few studies have examined factors associated with awareness and use of heated tobacco products (HTPs) among US young adults. HTP awareness and lifetime use correlated with a range of factors, including male gender, white race/ethnicity, and tobacco and other substance use. Lifetime use of HTPs was low (5%); most lifetime HTP users reported history of other tobacco use, but a sizeable minority (14%) reported no other tobacco product use history. Among current cigarette smokers, cigarette dependence, poly-tobacco use, and marijuana use-but not cigarette cessation attempts or contemplation-were associated with greater likelihood of awareness and use of HTPs.

Locating Medical and Recreational Cannabis Outlets for Research Purposes: Online Methods and Observational Study.

BACKGROUND: An increasing number of states have laws for the legal sale of recreational and medical cannabis out of brick-and-mortar storefront locations. Given the proliferation of cannabis outlets and their potential for impact on local economies, neighborhood structures, and individual patterns of cannabis use, it is essential to create practical and thorough methods to capture the location of such outlets for research purposes. However, methods used by researchers vary greatly between studies and often do not include important information about the retailer's license status and storefront signage. OBJECTIVE: The aim of this study was to find methods for locating and observing cannabis outlets in Los Angeles County after the period when recreational cannabis retailers were granted licenses and allowed to be open for business. METHODS: The procedures included searches of online cannabis outlet databases, followed by methods to verify each outlet's name, address, license information, and open status. These procedures, conducted solely online, resulted in a database of 531 outlets. To further verify each outlet's information and collect signage data, we conducted direct observations of the 531 identified outlets. RESULTS: We found that 80.9% (430/531) of these outlets were open for business, of which 37.6% (162/430) were licensed to sell cannabis. Unlicensed outlets were less likely to have signage indicating the store sold cannabis, such as a green cross, which was the most prevalent form of observed signage. Co-use of cannabis and tobacco/nicotine has been found to be a substantial health concern, and we observed that 40.6% (175/430) of cannabis outlets had a tobacco/nicotine outlet within sight of the cannabis outlet. Most (350/430, 81.4%) cannabis outlets were located within the City of Los Angeles, and these outlets were more likely to be licensed than outlets outside the city. CONCLUSIONS: The findings of this study suggest that online searches and observational methods are both necessary to best capture accurate and detailed information about cannabis outlets. The methods described here can be applied to other metropolitan areas to more accurately capture the availability of cannabis in an area.

Early and Late Adolescent Factors that Predict Co-use of Cannabis with Alcohol and Tobacco in Young Adulthood.

The changing legal landscape of cannabis in the USA has coincided with changes in how cannabis is used, including its co-use with other substances. This study analyzed 10 years of data from a diverse cohort of youth (N = 2429; 54% Hispanic, 16% Asian, 16% white, 3% black, 10% multiracial) to examine predictors in early and late adolescence of co-use of alcohol with cannabis (AC) and tobacco with cannabis (TC) at age 21. Two forms of co-use were examined: concurrent (use of both substances in past month) and sequential (use of one substance right after the other). Analyses focused on four predictor domains: individual (e.g., resistance self-efficacy), peer (e.g., time spent around peers who use), family (e.g., sibling use), and neighborhood (i.e., perceived alcohol and drug problems in neighborhood). For each co-use combination (AC or TC), we estimated parallel process piecewise latent growth models in a structural equation modeling framework using Mplus v8. The final AC and TC co-use models included all predictor variables from the four domains. Increases in positive expectancies and time spent around peers who use AC, as well as steeper decreases in resistance self-efficacy, were all related to a greater likelihood of AC co-use in young adulthood. Increases in sibling TC use and time spent around peers who use TC, as well as steeper decreases in resistance self-efficacy, were all related to a greater likelihood of TC co-use in young adulthood. Overall, findings highlight the importance of addressing peer influence in prevention programming during both early and late adolescence.

Neighborhood, Family and Peer-Level Predictors of Obesity-Related Health Behaviors Among Young Adolescents.

Objective: This longitudinal study examines peer social functioning (PSF), familism, and neighborhood socioeconomic status (NSES) on adolescents' obesity risk. Methods: Participants ( N = 2,144) were originally sampled from 16 middle schools in Southern California (45% male; 45% Hispanic) as part of an alcohol and other drug use prevention program (CHOICE). Multilevel regression modeling tested main effects and interaction terms of PSF, familism, and NSES assessed at Wave 5 ( M age = 14.15) on body mass index and risk of obesity-related behaviors at Wave 6. Results: Higher PSF predicted healthier eating habits, less screen time, and more physical activity. Higher familism also predicted more physical activity. The positive effect of PSF on healthy eating was stronger among youth who reported higher familism. PSF also moderated the associations of NSES with healthy eating and physical activity. Conclusion: Findings emphasize the importance of targeting both peer and family factors, which may be more amenable to change than NSES.

Constructing a Time-Invariant Measure of the Socio-economic Status of U.S. Census Tracts.

Contextual research on time and place requires a consistent measurement instrument for neighborhood conditions in order to make unbiased inferences about neighborhood change. We develop such a time-invariant measure of neighborhood socio-economic status (NSES) using exploratory and confirmatory factor analyses fit to census data at the tract level from the 1990 and 2000 U.S. Censuses and the 2008-2012 American Community Survey. A single factor model fit the data well at all three time periods, and factor loadings--but not indicator intercepts--could be constrained to equality over time without decrement to fit. After addressing remaining longitudinal measurement bias, we found that NSES increased from 1990 to 2000, and then--consistent with the timing of the "Great Recession"--declined in 2008-2012 to a level approaching that of 1990. Our approach for evaluating and adjusting for time-invariance is not only instructive for studies of NSES but also more generally for longitudinal studies in which the variable of interest is a latent construct.

Depressive Symptoms and Longitudinal Changes in Cognition: Women's Health Initiative Study of Cognitive Aging.

Elevated depressive symptoms (DS) are associated with incident mild cognitive impairment and probable dementia in postmenopausal women. We examined the association of elevated DS with domain-specific cognitive changes and the moderating role of cardiovascular risk factor severity and cardiovascular disease (CVD). A total of 2221 elderly women who participated in the Women's Health Initiative Study of Cognitive Aging were separated into those with (N = 204) and without (N = 2017) elevated DS. The DS and multidomain cognitive outcomes were measured annually for an average follow-up of 5.04 years. Women with elevated DS showed baseline multidomain cognitive deficits but longitudinal declines in global cognition only. Persistent DS was related to greater global cognition, verbal knowledge and fluency, and memory declines. Significant DS-CVD interactions were observed cross-sectionally (but not longitudinally) for figural memory and fine motor speed. Future studies should investigate the role of nonvascular mechanisms linking DS and cognitive decline.

Does diversity matter? The need for longitudinal research on adolescent alcohol and drug use trajectories.

The existing research aimed at understanding alcohol and drug (AOD) use patterns from early to late adolescence typically does not examine samples with substantial racial and ethnic diversity. This is a critical research gap because studies have suggested that non-white adolescents often have worse health outcomes compared to white adolescents, even with less AOD use. In this paper, we discuss the need for future research on this topic, given demographic shifts in the racial and ethnic composition of the USA. We also outline how this research can provide information on what periods might be most relevant for each racial/ethnic group, and suggest measures that epidemiological studies on early substance use should assess to capture the underlying cultural, acculturation, psychosocial, and contextual factors that explain racial/ethnic differences in AOD trajectories.

Low Exposure to Home- and Community-Based Services Among U.S. Adults: Cause for Concern?

Home- and community-based services (HCBS) facilitate community living for older adults and persons with disabilities, but limited awareness of HCBS is a significant barrier to access. Social exposure is one potential conduit for HCBS knowledge. To understand the general population's social exposure to HCBS-that is, knowing someone who has used HCBS (including one's self)-we fielded a survey item with a nationally representative panel of U.S. adults. An estimated 53% of U.S. adults reported not knowing anyone who had used HCBS. Exposure rates were low across specific HCBS types (6%-28%). Women had greater exposure than men for eight of the 11 HCBS. We also found differences by age, racial/ethnic identity, rurality, education, and income. Increasing the general public's awareness of HCBS may facilitate access when services are needed, enhance readiness for aging in place, and increase the visibility and inclusion of older adults, persons with disabilities, and caregivers.

Change in Caregiving to Older Adults During the COVID-19 Pandemic: Differences by Dementia Status.

We use a nationally representative study of 3451 adults who provided assistance to a relative or friend age 50 or older immediately prior to the Coronavirus Disease 2019 (COVID-19) pandemic to explore changes to care provisions, use of services, and support networks. While we see turnover in assistance during a retrospectively assessed 12-month time period, respondents exited or adopted caregiving roles primarily for reasons unrelated to the pandemic. About two thirds of caregivers' social networks remained unchanged and, of those that did change, only half lost network members without gaining others. Changes in care settings and use of support services were uncommon. Caregivers to persons with dementia may have been more adversely affected than other caregivers as they were more likely to experience loss of social ties, potentially performing more care activities without the full support system they had in place prior to the pandemic.

Barriers and Facilitators to Home- and Community-Based Services Access for Persons With Dementia and Their Caregivers.

OBJECTIVES: The United States has seen increasing shifts toward home- and community-based services (HCBS) in place of institutional care for long-term services and supports. However, research has neglected to assess whether these shifts have improved access to HCBS for persons with dementia. This paper identifies HCBS access barriers and facilitators, and discusses how barriers contribute to disparities for persons with dementia living in rural areas and exacerbate disparities for minoritized populations. METHODS: We analyzed qualitative data from 35 in-depth interviews. Interviews were held with stakeholders in the HCBS ecosystem, including Medicaid administrators, advocates for persons with dementia and caregivers, and HCBS providers. RESULTS: Barriers to HCBS access for persons with dementia range from community and infrastructure barriers (e.g., clinicians and cultural differences), to interpersonal and individual-level barriers (e.g., caregivers, awareness, and attitudes). These barriers affect the health and quality of life for persons with dementia and may affect whether individuals can remain in their home or community. Facilitators included a range of more comprehensive and dementia-attuned practices and services in health care, technology, recognition and support for family caregivers, and culturally competent and linguistically accessible education and services. DISCUSSION: System refinements, such as incentivizing cognitive screening, can improve detection and increase access to HCBS. Disparities in HCBS access experienced by minoritized persons with dementia may be addressed through culturally competent awareness campaigns and policies that recognize the necessity of familial caregivers in supporting persons with dementia. These findings can inform efforts to ensure more equitable access to HCBS, improve dementia competence, and reduce disparities.

How do college students use their free time? A latent profile analysis of leisure activities and substance use.

College is a critical period of transition to independence and the substantial amount of time that students have to participate in leisure activities may be conducive to substance use. However, little is known about the associations between leisure activities and substance use over time, or whether these associations differ by residential status (i.e., living with parents vs. on their own). Using latent profile analysis, this study found six distinct profiles of leisure activity participation in a racially/ethnically diverse sample of college students (N=1,207). Overall, profiles with medium levels of leisure activity participation were associated with more alcohol use, heavy drinking, and marijuana use one year later; whereas profiles with the lowest levels of leisure activity participation were associated with more cigarette use one year later. Identifying mechanisms through which leisure activities influence substance use can help inform prevention efforts to either reduce risks associated with participation or support protective effects.

Use of alternative time scales in Cox proportional hazard models: implications for time-varying environmental exposures.

Issues surrounding choice of time scales in Cox proportional hazard regression models have received limited attention in the literature. Although the choice between time on study and 'attained' age time scales has been examined, the calendar time scale may be of interest when modeling health effects of environmental exposures with noteworthy secular trends such as ambient particulate matter air pollution in large epidemiological cohort studies. The authors use simulation studies to examine performance (bias, mean squared error, coverage probabilities, and power) of models using all three time scales when the primary exposure of interest depends on calendar time. Results show that performance of models fit to the calendar time scale varies inversely with the strength of the linear association between the time-varying primary exposure and calendar time. Although models fit to attained age and time on study that do not adjust for calendar time were relatively robust, the authors conclude that care should be exercised when using time scales that are highly correlated with exposures of interest.

Assessing measurement invariance of familism and parental respect across race/ethnicity in adolescents.

BACKGROUND: Familism and parental respect are culturally derived constructs rooted in Hispanic and Asian cultures, respectively. Measures of these constructs have been utilized in research and found to predict delays in substance use initiation and reduced levels of use. However, given that these measures are explicitly designed to tap constructs that are considered important by different racial/ethnic groups, there is a risk that the measurement properties may not be equivalent across groups. METHODS: This study evaluated the measurement equivalence of measures of familism and parental respect in a large and diverse sample of middle school students in Southern California (n = 5646) using a multiple group confirmatory factor analysis approach. RESULTS: Results showed little evidence of measurement variance across four racial/ethnic groups (African American, Hispanic, Asian, and non-Hispanic White), supporting the continued use of these measures in diverse populations. Some differences between latent variable means were identified - specifically that the Hispanic group and the white group differed on familism. CONCLUSIONS: No evidence of invariance was found. However, the item distributions were highly positively skewed, indicating a tendency for youth to endorse the most positive response, which may reduce the reliability of the measures and suggests that refinement is possible.

Preventing alcohol use with a voluntary after-school program for middle school students: results from a cluster randomized controlled trial of CHOICE.

There are many mandated school-based programs to prevent adolescent alcohol and drug (AOD) use, but few are voluntary and take place outside of class time. This cluster randomized controlled trial evaluates CHOICE, a voluntary after-school program for younger adolescents, which reduced both individual- and school-level alcohol use in a previous pilot study. We evaluated CHOICE with 9,528 students from 16 middle schools. The sample was 51% female; 54% Hispanic, 17% Asian, 15% white, 9% multiethnic and 3% African American. Fifteen percent of students attended CHOICE. All students completed surveys on alcohol beliefs and use at baseline and 6-7 months later. We conducted intention-to-treat (ITT) school-level analyses and propensity-matched attender analyses. Lifetime alcohol use in the ITT analysis (i.e., school level) achieved statistical significance, with an odds ratio (OR) of 0.70 and a NNT of 14.8. The NNT suggests that in a school where CHOICE was offered, 1 adolescent out of 15 was prevented from initiating alcohol use during this time period. Although not statistically significant (p = .20), results indicate that past month alcohol use was also lower in CHOICE schools (OR = 0.81; NNT = 45). Comparisons of attenders versus matched controls yielded results for lifetime use similar to school-wide effects (OR = 0.74 and NNT = 17.6). Initial results are promising and suggest that a voluntary after-school program that focuses specifically on AOD may be effective in deterring alcohol use among early adolescents; however, further research is needed as program effects were modest.