Tobacco exposures are associated with health care utilization (HCU) and health care costs in pregnant persons and their newborn babies.

INTRODUCTION: Identifying health care utilization and costs associated with active and passive smoking during pregnancy could help improve health management strategies. METHODS: Data are from the Newborn Epigenetics STudy (NEST), a birth cohort enrolled from 2005-2011 in Durham and adjacent counties in North Carolina, United States. Participants included those for whom prenatal serum samples were assayed and for whom administrative data were obtainable (N=1,045). Zero-inflated Poisson (ZIP) regression models were used to assess associations between cotinine, adjusted for covariates (e.g., race and ethnicity, age at delivery, cohabitation status, education), and health care utilization outcomes. Generalized linear regression models were used to estimate average total charges. Simulation models were conducted to determine the economic benefits of reducing SHS and smoking during pregnancy. RESULTS: Increasing levels of cotinine were positively associated with parent's number of ED visits (coefficient(b)=0.0012, standard error (SE)=0.0002; P<.001), the number of ICU hours (b=0.0079, SE=0.0025; P=.002)), time spent in the ICU (b=0.0238, SE=0.0020, P<.001), and the number of OP visits (b=0.0003, SE=0.0001; P<.001). For infants, higher cotinine levels were associated with higher number of ED (b=0.0012, SE=0.0004; P=.005), ICU (b=0.0050, SE=0.001; P<.001), and OP (b=0.0006, SE=0.0002; P<.001) visits and longer time spent in the ED (b=0.0025, SE=0.0003; P<.001), ICU (b=0.0005, SE=0.0001; P<.001), and IP (b=0.0020, SE=0.0002; P<.001). Simulation results showed that a 5% reduction in smoking would correspond to a potential median cost savings of $150,533 from ED visits of parents and infants. CONCLUSION: Our findings highlight the importance of smoke exposure cessation during pregnancy to reduce health care utilization and costs for both parents and infants. IMPLICATIONS: This study reinforces the importance of reducing smoking and secondhand smoke exposure during pregnancy. Focusing on expanding cessation services to this group could help reduce morbidities observed within this population. Furthermore, there is the potential for health care costs savings to health care systems, especially to those with high delivery numbers. These cost savings are represented by potential reductions in ED, OP, and ICU hours and visits.

Rural-specific identity and associations with lifestyle behaviors and well-being among rural cancer survivors.

BACKGROUND: Disparities in rural cancer survivors' health outcomes are well-documented, yet the role of sociocultural aspects of rurality, such as rural identity, attitudes toward rurality, and social standing on health beliefs and behaviors remain unclear. This study aimed to address these gaps. METHODS: Rural cancer survivors (N = 188) completed a mailed/online survey. Regression analyses identified relationships among rural identity, negative attitudes toward rurality, and social standing with health outcomes, quality of life, cancer fatalism, and cancer information overload. RESULTS: Higher rural identity was associated with believing everything causes cancer (OR = 1.58, p = 0.048), believing "there's not much you can do to lower your chances of getting cancer" (OR = 2.22, p = 0.002), and higher odds of being overloaded with cancer information (OR = 2.05, p  = 0.008). Negative attitudes toward rurality was linked with higher levels of perceived stress (B = 0.83, p = 0.001), and chronic pain (OR = 1.47, p = 0.039). Higher subjective social status was associated with perceived social support (B = 0.09, p = 0.016), better overall health (B = 0.13, p < 0.001), lower levels of perceived stress (B = -0.38, p = 0.007), and chronic pain (OR = 0.80, p = 0.027). CONCLUSION: Sociocultural factors of rurality were associated with indicators of quality of life, cancer fatalism, and information overload. Further exploration of the underlying mechanisms that drive these associations can help improve intervention targets for rural cancer survivors.

Prenatal and Childhood Smoke Exposure Associations with Cognition, Language, and Attention-Deficit/Hyperactivity Disorder.

OBJECTIVE: To assess the relationships of prenatal and childhood smoke exposure with specific neurodevelopmental and behavioral problems during early childhood. STUDY DESIGN: A subsample (n = 386) of mother-child dyads from the Newborn Epigenetic Study (NEST) prebirth cohort participated in the study. Cotinine concentrations were used to objectively measure prenatal and childhood smoke exposure when youth were aged 3-13 years. Multivariable regression models were used to estimate associations of prenatal and childhood cotinine concentrations with performance on the National Institutes of Health (NIH) Toolbox and attention-deficit/hyperactivity disorder and behavioral symptoms, measured using the Behavior Assessment System for Children, 2nd edition (BASC-2). RESULTS: After adjusting for confounders, childhood cotinine concentrations were associated with poorer cognitive performance on tasks measuring cognitive flexibility (B = -1.29; P = .03), episodic memory (B = -0.97; P = .02), receptive language development (B = -0.58; P = .01), and inhibitory control and attention (B = -1.59; P = .006). Although childhood cotinine concentration was associated with higher levels of attention problems (B = 0.83; P = .004) on the BASC-2, after adjustment for confounders, the association is nonsignificant. Although associations for maternal cotinine concentrations were null, an interaction was detected between prenatal and childhood cotinine concentrations on the NIH Toolbox Picture Vocabulary Task (P = .02). CONCLUSIONS: Our findings suggest that childhood tobacco smoke exposure may lead to poorer attention regulation and language acquisition, complex visual processing ability, and attention problems.

Sleep onset, duration, or regularity: which matters most for child adiposity outcomes?

BACKGROUND/OBJECTIVES: Sleep measures, such as duration and onset timing, are associated with adiposity outcomes among children. Recent research among adults has considered variability in sleep and wake onset times, with the Sleep Regularity Index (SRI) as a comprehensive metric to measure shifts in sleep and wake onset times between days. However, little research has examined regularity and adiposity outcomes among children. This study examined the associations of three sleep measures (i.e., sleep duration, sleep onset time, and SRI) with three measures of adiposity (i.e., body mass index [BMI], waist circumference, and waist-to-height ratio [WHtR]) in a pediatric sample. SUBJECTS/METHODS: Children (ages 4-13 years) who were part of the U.S. Newborn Epigenetic STudy (NEST) participated. Children (N = 144) wore an ActiGraph for 1 week. Sleep measures were estimated from actigraphy data. Weight, height, and waist circumference were measured by trained researchers. BMI and WHtR was calculated with the objectively measured waist and height values. Multiple linear regression models examined associations between child sleep and adiposity outcomes, controlling for race/ethnicity, child sex, age, mothers' BMI and sleep duration. RESULTS: When considering sleep onset timing and duration, along with demographic covariates, sleep onset timing was not significantly associated with any of the three adiposity measures, but a longer duration was significantly associated with a lower BMI Z-score (ß = -0.29, p < 0.001), waist circumference (ß = -0.31, p < 0.001), and WHtR (ß = -0.38, p < 0.001). When considering SRI and duration, duration remained significantly associated with the adiposity measures. The SRI and adiposity associations were in the expected direction, but were non-significant, except the SRI and WHtR association (ß = -0.16, p = 0.077) was marginally non-significant. CONCLUSIONS: Sleep duration was consistently associated with adiposity measures in children 4-13 years of age. Pediatric sleep interventions should focus first on elongating nighttime sleep duration, and examine if this improves child adiposity outcomes.

Spatially Varying Associations of Neighborhood Disadvantage with Alcohol and Tobacco Retail Outlet Rates.

More than 30% of cancer related deaths are related to tobacco or alcohol use. Controlling and restricting access to these cancer-causing products, especially in communities where there is a high prevalence of other cancer risk factors, has the potential to improve population health and reduce the risk of specific cancers associated with these substances in more vulnerable population subgroups. One policy-driven method of reducing access to these cancer-causing substances is to regulate where these products are sold through the placement and density of businesses selling tobacco and alcohol. Previous work has found significant positive associations between tobacco, alcohol, and tobacco and alcohol retail outlets (TRO, ARO, TARO) and a neighborhood disadvantage index (NDI) using Bayesian shared component index modeling, where NDI associations differed across outlet types and relative risks varied by population density (e.g., rural, suburban, urban). In this paper, we used a novel Bayesian index model with spatially varying effects to explore spatial nonstationarity in NDI effects for TROs, AROs, and TAROs across census tracts in North Carolina. The results revealed substantial variation in NDI effects that varied by outlet type. However, all outlet types had strong positive effects in one coastal area. The most important variables in the NDI were percent renters, Black racial segregation, and the percentage of homes built before 1940. Overall, more disadvantaged areas experienced a greater neighborhood burden of outlets selling one or both of alcohol and tobacco.

Neighborhood Deprivation is Associated with Increased Risk of Prenatal Smoke Exposure.

Despite years of advisories against the behavior, smoking among pregnant women remains a persistent public health issue in the USA. Recent estimates suggest that 9.4% of women smoke before pregnancy and 7.1% during pregnancy in the USA. Epidemiological research has attempted to pinpoint individual-level and neighborhood-level factors for smoking during pregnancy, including educational attainment, employment status, housing conditions, poverty, and racial demographics. However, most of these studies have relied upon self-reported measures of smoking, which are subject to reporting bias. To more accurately and objectively assess smoke exposure in mothers during pregnancy, we used Bayesian index models to estimate a neighborhood deprivation index (NDI) for block groups in Durham County, North Carolina, and its association with cotinine, a marker of smoke exposure, in pregnant mothers (n = 887 enrolled 2005-2011). Results showed a significant positive association between NDI and log cotinine (beta = 0.20, 95% credible interval = [0.11, 0.29]) after adjusting for individual covariates (e.g., race/ethnicity and education). The two most important variables in the NDI according to the estimated index weights were percent females without a high school degree and percent Black population. At the individual level, Hispanic and other race/ethnicity were associated with lowered cotinine compared with non-Hispanic Whites. Higher education levels were also associated with lowered cotinine. In summary, our findings provide stronger evidence that the socio-geographic variables of educational attainment and neighborhood racial composition are important factors for smoking and secondhand smoke exposure during pregnancy and can be used to target intervention efforts.

Associations of Alcohol and Tobacco Retail Outlet Rates with Neighborhood Disadvantage.

Tobacco causes 29% of cancer-related deaths while alcohol causes 5.5% of cancer-related deaths. Reducing the consumption of these cancer-causing products is a special priority area for the National Cancer Institute. While many factors are linked to tobacco and alcohol use, the placement and density of retail outlets within neighborhoods may be one community-level risk factor contributing to greater use of these products. To elucidate associations between tobacco, alcohol, and tobacco and alcohol retail outlets (TRO, ARO, and TARO) and neighborhood disadvantage over a large geographic area, we employed a novel Bayesian index modeling approach to estimate a neighborhood disadvantage index (NDI) and its associations with rates of the three types of retailers across block groups in the state of North Carolina. We used a novel extension of the Bayesian index model to include a shared component for the spatial pattern common to all three types of outlets and NDI effects that varied by outlet type. The shared component identifies areas that are elevated in risk for all outlets. The results showed significant positive associations between neighborhood disadvantage and TROs (relative risk (RR) = 1.12, 95% credible interval (CI = 1.09, 1.14)) and AROs (RR = 1.15, 95% CI = 1.11, 1.17), but the association was greatest for TAROs (RR = 1.21, 95% CI = 1.18, 1.24). The most important variables in the NDI were percent renters (i.e., low home ownership), percent of homes built before 1940 (i.e., old housing stock), and percent without a high school diploma (i.e., low education).

Assessing how a tobacco-free campus leads to attitude change and support among students, faculty, and staff.

INTRODUCTION: Universities are increasingly considering tobacco-free campus policies to help promote a healthy learning and working environment. We assessed attitudes of students, faculty, and staff, before and after the implementation of a tobacco-free campus policy at a large, urban university. We also examined individual factors associated with these attitudes. METHODS: An independent panel design method was used to assess students, faculty and staff about their tobacco product use, attitudes towards tobacco policies, and support for cigarette and e-cigarette bans 3 months before and 7 months after a university-wide policy change to ban tobacco and e-cigarettes on campus. Survey participants before the policy change included 636 students and 1356 faculty/ staff. Survey participants after the policy change included 1000 students and 574 faculty/staff. We conducted separate multiple linear and logistic regression models for students and faculty/staff. RESULTS: Attitudes towards tobacco-free campus policies did not improve for students, but did for faculty/staff. Support for bans of cigarettes and e-cigarettes on campus increased following the policy change among both students and faculty/staff. Students were more willing to ask their friends to stop vaping post-policy, but did not differ in their willingness to ask friends to stop smoking. Among the individual factors considered, gender and use of cigarettes and e-cigarettes were predictive of attitudes among both students and faculty/staff. Women were more likely to support and have more positive attitudes towards bans, while current tobacco product users were less likely to support tobacco product bans and have less positive attitudes towards tobacco policies. CONCLUSIONS: Attitudes towards tobacco-free campus policies changed pre- to postpolicy among faculty/staff, but not among students. However, both students and faculty/staff were more supportive of tobacco product bans following the policy change. Individual factors associated with support and attitudes were identified.

Engaging with the Richmond Community to Reduce Pediatric Asthma Disparities: Findings from a Community-engaged Needs Assessment.

Childhood asthma disparities persist, with children living in low-income areas experiencing worse morbidity. We partnered with a community-academic research team and stakeholders to conduct a needs assessment to understand barriers and supports to asthma treatment. We convened a community advisory board, comprised of parents of children with asthma, youth with asthma, and members of key community organizations. Two focus groups with parents of children with asthma and four focus groups with youth with asthma were conducted, and a survey was administered to 100 parents. A visual mapping process was used to gather qualitative data about barriers, strategies, and outcomes, and allowed advisory board members to interpret focus group and survey data within the lived experiences of families. Focus group themes included parent stress/anxiety, concerns about school nurses, and lack of trust in providers. Findings from focus groups and surveys suggested that emergency department visits were not perceived negatively by families, although health providers and researchers generally view them as such. Public health implications include systemic changes that allow the healthcare system to address families' acute needs and worry. A community program focused on education and coordination among families, schools, and medical homes might improve asthma outcomes at the population level.

Refining the Factor Structure of the All Aspects of Health Literacy Scale.

Objective: Although the All Aspects of Health Literacy Scale (AAHLS) is a commonly used measure of health literacy, the psychometric evaluation approach employed in its original validation is questionable. In this study, we evaluated the psychometric properties and factor structure of the AAHLS using widely-accepted analytic methods. Methods: We collected data from 393 students from a Mid-Atlantic university. Participants completed the AAHLS in an online format. We conducted an exploratory factor analysis (EFA) to determine whether a different factor/subscale structure emerged in this sample than in the original validation sample. We ran follow-up confirmatory factor analyses (CFAs). Results: The EFA suggested an 11-item, 4-factor model. The CFA of the 4-factor model had adequate model fit but evidenced several low item loadings, suggesting that several items did not perform well. We tested a modified 8-item, 3-factor model that had good fit and high item loadings. Compared to the original factor structure, the functional health literacy subscale was removed. Conclusions: The newly proposed 3-factor/subscale model with 8 items captures communicative health literacy and 2 separate aspects of critical health literacy. Further replication in other diverse samples is warranted to investigate the psychometric properties of the AAHLS, although we recommend use of the revised version over the original.