BACKGROUND Cancer survivors are at increased risk of pain due to their either cancer and/or treatments. Substances like alcohol may be used to self-medicate cancer pain; however, these substances pose their own health risks that may be more pronounced for cancer survivors. METHODS We used cross-sectional data from the Behavioral Risk Factor Surveillance System (BRFSS) 2012-2019 to quantify the association between cancer pain and alcohol use. We used negative binomial regression, with interaction terms added to examine variations across age, sex, and race. We also examined whether alcohol use relates to cancer pain control status. RESULTS Cancer survivors with cancer pain were more likely to be younger, female, Black, and to have been diagnosed with breast cancer. Cancer pain was associated with lower alcohol consumption (incidence rate ratio (IRR): 0.88, confidence interval (CI): 0.77, 0.99). This association was primarily among people 65 and older, women, and white and Hispanic people. Cancer pain control status was not related to alcohol use. CONCLUSIONS Lower alcohol use among cancer survivors with pain has many possible explanations, including several alternative pain management strategies or a decrease in social engagement. Our findings of racial and gender disparities in cancer pain are consistent with the broader evidence on disparities in pain. IMPLICATIONS FOR CANCER SURVIVORS Cancer pain management for marginalized groups should be improved. Healthcare providers should screen cancer survivors for both pain and substance use, to prevent unhealthy self-medication behaviors.

The emergency food system (EFS) is a critical part of the United States’ social safety net. Using 2015–2020 Current Population Survey Food Security Supplement data, we identified trends in EFS use among food insecure, low-income households by estimating the probability of EFS use adjusting for demographics using multivariable logistic regression. From 2015 to 2019, between 31.0% and 34.4% of households received emergency food, while 42.4% did in 2020. EFS use did not increase in 2020 compared to prior years for older adults and non-metropolitan households. Targeted outreach should be used to expand the reach of this resource to underserved and marginalized populations.”.

<p>Despite a dramatic reduction in commercial cigarette smoking prevalence in the US, children are still commonly exposed to secondhand smoke (SHS), which is a cause of various pediatric health problems. Further, SHS exposure is patterned by race and class, exacting an inequitable toll on children from families with lesser social and economic advantage. In this issue, Titus and colleagues’ (Am J Epidemiol. XXXX;XXX(XX):XXXX–XXXX) used natural experiment evaluation methods (difference-in-difference) to test whether the recently implemented HUD policy which forbade smoking in and around New York City Housing Authority (NYCHA) buildings impacted child respiratory health. The results from their work remind us that policies do not always impact outcomes as we might expect. Given that policy is one of the most potent tools for population health promotion, this work underlines the need for epidemiology to engage in policy evaluation at all stages of the policy lifecycle, in order to discover comprehensive approaches to policy development and implementation that prioritize equity and address structural racism.</p>

<p>Racism is embedded in society, and higher education is an important structure for patterning economic and health outcomes. Historically Black Colleges and Universities (HBCUs) were founded on anti-racism while predominantly white institutions (PWIs) were often founded on white supremacy. This contrast provides an opportunity to study the association between structural racism and health among Black Americans. We used the National Longitudinal Study of Adolescent to Adult Health (Add Health) to estimate the long-term causal effect of attending an HBCU (vs. PWI) on depressive symptoms among Black students in the United States from 1994-2018. While we found no overall association with attending an HBCU (vs. PWI) on depressive symptoms, we found that this association varied by baseline mental health and region, and across time. For example, among those who attended high school outside of the South, HBCU attendance was protective against depressive symptoms 7 years later, and the association was strongest for those with higher baseline depressive symptoms. We recommend equitable state and federal funding for HBCUs, and that PWIs implement and evaluate antiracist policies to improve mental health of Black students.</p>

<p>Racism is embedded in society, and higher education is an important structure for patterning economic and health outcomes. Historically Black Colleges and Universities (HBCUs) were founded on anti-racism while predominantly white institutions (PWIs) were often founded on white supremacy. This contrast provides an opportunity to study the association between structural racism and health among Black Americans. We used the National Longitudinal Study of Adolescent to Adult Health (Add Health) to estimate the long-term causal effect of attending an HBCU (vs. PWI) on depressive symptoms among Black students in the United States from 1994-2018. While we found no overall association with attending an HBCU (vs. PWI) on depressive symptoms, we found that this association varied by baseline mental health and region, and across time. For example, among those who attended high school outside of the South, HBCU attendance was protective against depressive symptoms 7 years later, and the association was strongest for those with higher baseline depressive symptoms. We recommend equitable state and federal funding for HBCUs, and that PWIs implement and evaluate antiracist policies to improve mental health of Black students.</p>

BACKGROUND: Sleep duration, quality, and timing may influence dietary quality. In adults, poor dietary quality is a risk factor for numerous chronic diseases. It is unclear how these various sleep domains influence adolescents' diets because prior population-based studies have not effectively manipulated sleep, did not include objective sleep measures, and had short follow-up times. OBJECTIVES: The objectives of this study were to examine 1) how adolescent sleep characteristics relate to dietary quality; and 2) how delay in high school start times (which lengthened sleep duration) affects dietary quality over 2 y. METHODS: In the START study, adolescents (grades 9-11, n = 423) attending 5 high schools in the Minneapolis, Minnesota metropolitan area were annually assessed in 3 waves (2016-2018). At Baseline, all schools started "early" (07:30 or 07:45). From Follow-up 1 through Follow-up 2, 2 "policy change schools" shifted to later start times (to 08:20 and 08:50). Three "comparison schools" maintained their early start throughout. Sleep characteristics were measured with actigraphy. Mixed-effect regression models were used to examine cross-sectional and longitudinal associations of sleep characteristics with dietary quality, and school start time policy change with dietary quality change. RESULTS: Cross-sectionally, later sleep midpoint and onset were associated with dietary quality scores 1.6-1.7 lower (both P < 0.05). However, no prospective associations were observed between sleep characteristics and dietary quality in longitudinal models. Shifting to later school start time tended to be associated with a 2.4-point increase in dietary quality score (P = 0.09) at Follow-up 1, but was not associated with change in dietary quality scores at Follow-up 2 (P = 0.35). CONCLUSIONS: High school students attending delayed-start schools maintained better dietary quality than students in comparison schools; however, differences were not statistically significant. Overall study findings highlight the complexity of the relation between sleep behavior and diet in adolescence.

Purpose: Few adolescents spend enough time asleep on school nights. This problem could be addressed by delaying high school start times, but does this translate to reduced prevalence of sleep–wake problems like awakening too early or feeling sleepy during the day? Methods: The START study (n = 2,414) followed a cohort of students from five Minnesota high schools to evaluate impacts of school start time delays. Participants were enrolled in ninth grade (Baseline) when all schools started early (7:30 or 7:45 A.M.). At Follow-Up 1 (10th grade) and Follow-Up 2 (11th grade), two schools had delayed their start times by 50 and 65 minutes while three comparison schools started at 7:30 A.M. Six sleep–wake behaviors were assessed at all three time points via survey. Generalized estimating equation models were used to investigate changes in sleep–wake problems between policy change and comparison schools. Results: The prevalence of sleep–wake problems at Baseline ranged from 11% for being late to class due to oversleeping to 48% for needing to be told to wake multiple times in the morning. Compared to students from comparison schools, students at policy change schools reported smaller increases in the prevalence of feeling sleepy daily and oversleeping and being late to class between 9th and 11th grade. After implementation of the delayed start, awakening too early was more common among students at policy change schools compared to the comparison schools. Conclusions: This longitudinal study provides evidence that delaying high school start times reduces daytime sleepiness and school tardiness.

Background: A steep rise in food insecurity is among the most pressing US public health problems that has resulted from the COVID-19 pandemic. Objective: This study aimed to (1) describe how food-insecure emerging adults are adapting their eating and child-feeding behaviors during COVID-19 and (2) identify barriers and opportunities to improve local food access and access to food assistance. Design: The COVID-19 Eating and Activity Over Time study collected survey data from emerging adults during April to October 2020 and completed interviews with a diverse subset of food-insecure respondents. Participants/setting: A total of 720 emerging adults (mean age: 24.7 ± 2.0 years; 62% female; 90% living in Minnesota) completed an online survey, and a predominately female subsample (n = 33) completed an interview by telephone or videoconference. Main outcome measures: Survey measures included the short-form of the US Household Food Security Survey Module and 2 items to assess food insufficiency. Interviews assessed eating and feeding behaviors along with barriers to healthy food access. Analyses performed: Descriptive statistics and a hybrid deductive and inductive content analysis. Results: Nearly one-third of survey respondents had experienced food insecurity in the past year. Interviews with food-insecure participants identified 6 themes with regard to changes in eating and feeding behavior (eg, more processed food, sporadic eating), 5 themes regarding local food access barriers (eg, limited enforcement of COVID-19 safety practices, experiencing discrimination), and 4 themes regarding barriers to accessing food assistance (eg, lack of eligibility, difficulty in locating pantries). Identified recommendations include (1) expanding the distribution of information about food pantries and meal distribution sites, and (2) increasing fresh fruit and vegetable offerings at these sites. Conclusions: Interventions of specific relevance to COVID-19 (eg, stronger implementation of safety practices) and expanded food assistance services are needed to improve the accessibility of healthy food for emerging adults.

<h3>Importance</h3><p>Sleep is a resource that has been associated with health and well-being; however, sleep insufficiency is common among adolescents.</p><h3>Objective</h3><p>To examine how delaying school start time is associated with objectively assessed sleep duration, timing, and quality in a cohort of adolescents.</p><h3>Design, Setting, and Participants</h3><p>This observational cohort study took advantage of district-initiated modifications in the starting times of 5 public high schools in the metropolitan area of Minneapolis and St Paul, Minnesota. A total of 455 students were followed up from grade 9 (May 3 to June 3, 2016) through grade 11 (March 15 to May 21, 2018). Data were analyzed from February 1 to July 24, 2019.</p><h3>Exposures</h3><p>All 5 participating schools started early (7:30amor 7:45am) at baseline (2016). At follow-up 1 (2017) and continuing through follow-up 2 (2018), 2 schools delayed their start times by 50 and 65 minutes, whereas 3 comparison schools started at 7:30amthroughout the observation period.</p><h3>Main Outcomes and Measures</h3><p>Wrist actigraphy was used to derive indices of sleep duration, timing, and quality. With a difference-in-difference design, linear mixed-effects models were used to estimate differences in changes in sleep time between delayed-start and comparison schools.</p><h3>Results</h3><p>A total of 455 students were included in the analysis (among those identifying sex, 225 girls [49.5%] and 219 boys [48.1%]; mean [SD] age at baseline, 15.2 [0.3] years). Relative to the change observed in the comparison schools, students who attended delayed-start schools had an additional mean 41 (95% CI, 25-57) objectively measured minutes of night sleep at follow-up 1 and 43 (95% CI, 25-61) at follow-up 2. Delayed start times were not associated with falling asleep later on school nights at follow-ups, and students attending these schools had a mean difference-in-differences change in weekend night sleep of −24 (95% CI, −51 to 2) minutes from baseline to follow-up 1 and −34 (95% CI, −65 to −3) minutes from baseline to follow-up 2, relative to comparison school participants. Differences in differences for school night sleep onset, weekend sleep onset latency, sleep midpoints, sleep efficiency, and the sleep fragmentation index between the 2 conditions were minimal.</p><h3>Conclusions and Relevance</h3><p>This study found that delaying high school start times could extend adolescent school night sleep duration and lessen their need for catch-up sleep on weekends. These findings suggest that later start times could be a durable strategy for addressing population-wide adolescent sleep deficits.</p>

Purpose. To estimate the effect of Healthy, Hunger-Free Kids Act of 2010 (HHFKA) implementation on dietary quality of all US school-aged children and adolescents, and examine whether those effects differed by demographic group. Methods. We used survey regression on 2007-2016 National Health and Nutrition Examination Survey (NHANES) data to estimate the proportion of energy intake from school foods and the association between school food intake and dietary quality, before and after HHFKA passage/implementation. To account for demographic changes in the US population over time, inverse probability weighting was employed. The product of the proportion of energy from school foods and the association between school food intake and dietary quality estimated the effect of HHFKA implementation on dietary quality. Results. School food intake quantity remained stable during the study period. HHFKA implementation improved students' dietary quality by 4.3 Healthy Eating Index-2010 (HEI) points (95% CI: 2.5, 6.1) on days when school foods were eaten, and by 1.3 HEI points (95% CI: 0.73, 1.8) averaged over all days annually. Conclusions. HHFKA implementation improved the total dietary quality of US school students. US students would benefit from eating school meals in the post-HHFKA era, and HHFKA regulations should not be relaxed.

Background: Health literacy has yet to be described in a non-clinical, racially diverse, community-based cohort. Methods: Four questions assessing health literacy were asked during annual phone encounters with Multi-Ethnic Study of Atherosclerosis (MESA) participants between 2016 and 2018 (n = 3629). We used prevalence ratios (PRs) with 95% confidence intervals (CIs) to characterize how demographic and acculturation factors related to limited health literacy. Models adjusted for age, sex, and race/ethnicity, and race/ethnicity-stratified models were also examined. Results: Limited health literacy was prevalent in 15.4% of the sample. Participants who were older, female, lower-income, or less acculturated were at greater risk for having limited health literacy. Chinese, Hispanic, and Black participants were more likely than White participants to have limited health literacy. Patterns were similar when stratified by race/ethnicity. Discussion: Within MESA limited health literacy was common, particularly among Chinese and Hispanic participants, with some of the variance explained by differences in acculturation.

Abstract Background: Insufficient sleep is widespread among adolescents and has consequences that extend far beyond hampering day-to-day functioning. It may influence eating and physical activity p...

Introduction: Short sleep duration is exceedingly common among adolescents and has implications for healthy youth development. We sought to document associations between adolescents’ sleep duration and characteristics of their schedules, behaviors, and wellbeing. Methods: We used data from the baseline wave (9th grade year) of the START study, a cohort of 2134 students in five Minnesota high schools to assess how self-reported sleep duration was associated with the prevalence of time-use characteristics (i.e. activity schedules, screen use), sleep-wake problems (i.e. trouble waking in the morning, falling asleep in class, etc.), and risk of depression. Results: Shorter sleep duration was associated with various behaviors including greater computer/screen time and screen use after bed, a lower probability of doing homework, participation in sports doing chores on school nights, and reporting that it takes at least 20 min to fall asleep on school days (p < 0.05). Suboptimal sleep duration was also associated with a higher probability of all reported sleep-wake problems as well as higher risk of depressive symptoms (p < 0.05). Conclusions: Given that getting an optimal amount of sleep can protect youth from risk and promote healthy youth development, it is critical that we gain a greater understanding of correlates and consequences of short sleep duration in order to develop a sleep-friendly culture for youth.

Objective: Given the growing concern about research reproducibility, we conceptually replicated a previous analysis of the relationships between adolescent sleep and mental well-being using a new dataset. Methods: We conceptually reproduced an earlier analysis (Sleep Health, June 2017) using baseline data from the START Study. START is a longitudinal research study designed to evaluate a natural experiment in delaying high school start times, examining the impact of sleep duration on weight change in adolescents. In both START and the previous study, school day bedtime, wake-up time, and answers to a 6-item depression subscale were self-reported using a survey administered during the school day. Logistic regression models were used to compute the association and 95% confidence intervals between the sleep variables (sleep duration, wake-up time, and bedtime) and a range of outcomes. Results: In both analyses, greater sleep duration was associated with lower odds (P <.0001) of all 6 indicators of depressive mood. Five of the 6 sleep duration point estimates from the START Study and 4 of the 6 wake-up time point estimates fell within the 95% confidence intervals from the previous analysis. However, the associations between wake-up time and outcomes differed between the 2 studies' analyses. Conclusion: Our findings add strength to the evidence supporting an association between short sleep duration and depression. This issue deserves attention from school districts given the current epidemic of short sleep duration among youth and the potential impact school scheduling can have on teen sleep.

Introduction: Concerns about the adverse effects of smoking cessation on alcohol use and mental health are a barrier to cessation for smokers with serious mental illness (SMI). The purpose of this study is to examine how incident smoking cessation affects binge drinking and symptoms of depression and anxiety among smokers with SMI. Methods: The present study is a secondary analysis of the OPTIN trial, which demonstrated the effectiveness of proactive outreach for smoking cessation among Minnesota Health Care Programs enrollees. Participants with ICD-9 codes indicating schizophrenia spectrum disorders, psychotic disorders, bipolar disorders, or severe/recurrent major depressive disorder were categorized as having SMI (n = 939); remaining smokers were categorized as non-SMI (n = 1382). Multivariable regressions modeled the association between incident smoking cessation and binge drinking, PHQ-2 depression scores, and PROMIS anxiety scores in the two groups. Results: Quitting smoking was not associated with binge drinking among those with SMI, but was associated with less binge drinking among those without SMI (p = 0.033). Quitting smoking was not associated with PHQ-2 depression scores among those with or without SMI. However, quitting smoking was associated with lower mean PROMIS anxiety scores for those with SMI (p = 0.031), but not those without SMI. Conclusion: Quitting smoking was not associated with heightened binge drinking or symptoms of depression and anxiety among smokers with SMI. These findings suggest that quitting smoking is not detrimental for these patients, and provide evidential support for facilitating access to cessation resources for patients with serious mental illness who smoke.

PURPOSE The aims of this analysis were to explore how self-reported barriers to quitting vary by socioeconomic status (SES) among young-adult smokers and to assess their relationship to quitting. DESIGN This analysis uses 2 waves of telephone-survey data from the Minnesota Adolescent Community Cohort study. SETTING Midwestern United States. PARTICIPANTS Participants (n = 419) were smokers aged 17 to 24 years. MEASURES Socioeconomic status was estimated using the highest level of education completed by the participants' parents. Demographics, smoking behavior, and perceived barriers to quitting were collected via survey questions. ANALYSIS Differences in barriers by SES were assessed using prevalence ratios (PRs). Relative risks were calculated to assess the association between barriers and quitting status 1 year later, testing for effect modification by SES. RESULTS Compared to the high SES group (n = 314), the low SES group (n = 105) was more likely to report several barriers to quitting; however, only the risk of gaining weight was significantly more common (PR: 1.38 [1.05-1.83]). There were no significant associations between barriers and quitting status 1 year later, but the number of cigarettes per day was consistently related to the likelihood of quitting 1 year later, regardless of SES. CONCLUSION Despite the limited generalizability to racially diverse populations and different geographic locations, the results suggest perceived barriers may not differ by SES or predict quitting among young adults; however, nicotine dependence may play an important role.

Background Smoke‐free legislation has been associated with reductions in secondhand smoke exposure and cardiovascular disease. However, it remains unknown whether smoke‐free policies are associated...