Surveillance Mammography Behaviors in Black and White Breast Cancer Survivors: Behavioral Risk Factors and Surveillance System, 2016.

BACKGROUND: Surveillance mammography is recommended annually for early detection of disease relapse among breast cancer survivors; yet Black women have poorer national rates of surveillance mammography compared to White women. Factors that influence racial disparities in surveillance mammography rates are poorly understood. The purpose of this study is to evaluate the contribution of health care access, socioeconomic status, and perceived health status on adherence to surveillance mammography among breast cancer survivors. METHODS: This is a secondary analysis of a cross-sectional survey among Black and White women ≥ 18 years, who reported a breast cancer diagnosis and completed breast surgery and adjuvant treatment from the 2016 Behavioral Risk Factor Surveillance System National Survey (BRFSS). Bivariate associations (chi-squared, t-test) for independent variables (e.g., health insurance, marital status) were analyzed with adherence to nationally recommended surveillance guidelines defined as two levels: adherent (received a mammogram in the last 12 months), vs. non- adherent ("received a mammogram in the last 2-5 years, 5 or more years or unsure). Multivariable logistic regression models were used to evaluate the relationship between study variables with adherence, while adjusting for potential confounders. RESULTS: Of 963 breast cancer survivors, 91.7% were White women with an average age of 65. 71.7% reported a surveillance mammogram in the last 12 months, while 28.2% did not. Diagnosed > 5 years (p < 0.001); not having a routine checkup visit within 12 months (p = 0.045); and not seeing a doctor when needed due to cost (p = 0.026), were significantly related to survivor's non-adherence to surveillance mammography guidelines. A significant interaction was found between race and residential area (p < 0.001). Compared to White women, Black women living in metropolitan/suburban residential areas were more likely to receive surveillance guidelines (OR:3.77;95% CI: 1.32-10.81); however Black women living in non-metropolitan areas were less likely to receive a surveillance mammogram compared to White women living in non-metropolitan areas (OR: 0.04; 95% CI: 0.00-0.50). CONCLUSION: Findings from our study further explain the impact of socioeconomic disparities on racial differences in the use of surveillance mammography among breast cancer survivors. Black women living in non-metropolitan counties are an important subgroup for future research and screening and navigation interventions.

Location, age, and race matter: a path model of emotional distress in the U.S. during COVID-19.

BACKGROUND: We aim to identify factors that explain emotional distress among underserved populations during the COVID-19 pandemic. METHODS: Starting in August 2020, we conducted an online epidemiological survey among 947 U.S. adults. The survey asked a wide array of constructs, including demographics, past-month substance use, and psychological distress. We developed a path model to understand how financial strain, age, and substance use are associated with emotional distress among People of Color (POC) and those living in rural areas. RESULTS: 22.6% (n = 214) of participants were POC; 114 (12%) resided in rural areas; 17.2% (n = 163) made between $50,000 and $74,999 annually; and the emotional distress average was 1.41 (SD = 0.78). POC, especially those younger, experienced higher rates of emotional distress (p < .05). People living in rural contexts reported lower rates of emotional distress through low alcohol intoxication and less financial strain (p < .05). CONCLUSIONS: We found mediating factors related to emotional distress among vulnerable populations during the COVID-19 pandemic. Younger POC experienced higher rates of emotional distress. People in rural communities had less emotional distress when they had fewer days spent intoxicated by alcohol, which was associated with lower financial strain. We conclude with a discussion of important unmet needs and future research directions.

Countering Antivax Misinformation via Social Media: Message-Testing Randomized Experiment for Human Papillomavirus Vaccination Uptake.

BACKGROUND: Suboptimal adolescent human papillomavirus (HPV) vaccination rates have been attributed to parental perceptions of the HPV vaccine. The internet has been cited as a setting where misinformation and controversy about HPV vaccination have been amplified. OBJECTIVE: We aimed to test message effectiveness in changing parents' attitudes and behavioral intentions toward HPV vaccination. METHODS: We conducted a web-based message-testing experiment with 6 control messages and 25 experimental messages and 5 from each of the 5 salient themes about HPV vaccination (theme 1: safety, side effects, risk, and ingredient concerns and long-term or major adverse events; theme 2: distrust of the health care system; theme 3: HPV vaccine effectiveness concerns; theme 4: connection to sexual activity; and theme 5: misinformation about HPV or HPV vaccine). Themes were identified from previous web-based focus group research with parents, and specific messages were developed by the study team using content from credible scientific sources. Through an iterative process of message development, the messages were crafted to be appropriate for presentation on a social media platform. Among the 1713 participants recruited via social media and crowdsourcing sites, 1043 eligible parents completed a pretest survey questionnaire. Participants were then randomly assigned to 1 of the 31 messages and asked to complete a posttest survey questionnaire that assessed attitudes toward the vaccine and perceived effectiveness of the viewed message. A subgroup of participants (189/995, 19%) with unvaccinated children aged 9 to 14 years was also assessed for their behavioral intention to vaccinate their children against HPV. RESULTS: Parents in the experimental group had increased positive attitudes toward HPV vaccination compared with those in the control group (t969=3.03, P=.003), which was associated with increased intention to vaccinate among parents of unvaccinated children aged 9 to 14 years (r=1.14, P=.05). At the thematic level, we identified 4 themes (themes 2-5) that were relatively effective in increasing behavioral intentions by positively influencing attitudes toward the HPV vaccine (χ25=5.97, P=.31, root mean square error of approximation [RMSEA]=0.014, comparative fit index [CFI]=0.91, standardized root mean square residual [SRMR]=0.031). On the message level, messages that provided scientific evidence from government-related sources (eg, the Centers for Disease Control and Prevention) and corrected misinformation (eg, "vaccines like the HPV vaccine are simply a way for pharmaceutical companies to make money. That isn't true") were effective in forming positive perceptions toward the HPV vaccination messages. CONCLUSIONS: Evidence-based messages directly countering misinformation and promoting HPV vaccination in social media environments can positively influence parents' attitudes and behavioral intentions to vaccinate their children against HPV.

Cannabis use among cancer survivors in the United States: Analysis of a nationally representative sample.

BACKGROUND: Research on cannabis use among those with a history of cancer is limited. METHODS: Prevalence of past-year cannabis use among individuals with and without a cancer history and predictors of use within these 2 groups were determined using data from the Population Assessment of Tobacco and Health study, a nationally representative, longitudinal survey conducted in the United States (waves 1-4; 2013-2018). Discrete time survival analyses were used to estimate baseline (wave 1) predictors (physical health status, mental health status, pain, and demographic variables) on past-year engagement with cannabis within individuals who reported a cancer diagnosis at wave 1 (n = 1022) and individuals who reported never having cancer at any wave (n = 19,702). RESULTS: At the most recent survey, 8% of cancer survivors reported past-year cannabis use, compared with 15% of those without a cancer history. Across 4 time points, an estimated 3.8% of cancer survivors engaged with cannabis, as compared to 6.5% of those without a cancer history. Across both groups, older age and having health insurance were associated with lower likelihood of engaging in cannabis use, whereas greater levels of pain were associated with higher likelihood of engaging in cannabis use. Among those without a cancer history, being female, White, and having better mental health status were associated with lower likelihood of engaging in cannabis use. CONCLUSIONS: Although cannabis use prevalence is lower among cancer survivors, the reasons for use are not markedly different from those without a cancer history. Continued monitoring of use, reasons for use, and harms or benefits is warranted. LAY SUMMARY: Results from this study, which uses data from the Population Assessment of Tobacco and Health Study, indicate that cannabis use is generally increasing across cancer survivors and those without a history of cancer. Cancer survivors are using cannabis at slightly lower rates than those without a history of cancer. Factors related to pain seem to be more prevalent in cancer populations relative to the general population, and could be contributing to cannabis use within cancer survivor populations.

Ecological Momentary Assessment and mHealth Interventions Among Men Who Have Sex With Men: Scoping Review.

BACKGROUND: Ecological momentary assessment (EMA) is a research design that allows for the measurement of nearly instantaneous experiences within the participant's natural environment. Using EMA can help improve recall bias, ecological validity, and patient engagement while enhancing personalization and the ubiquity of interventions. People that can benefit from the use of EMA are men who have sex with men (MSM). Previous EMA studies have been successful in capturing patterns of depression, anxiety, substance use, and risky sexual behavior. These findings are directly relevant to MSM, who have high rates of each of these psychological and behavioral outcomes. Although there is a driving force behind the growing literature surrounding EMAs among MSM, no synthesizing reviews yet exist. OBJECTIVE: The aims of this study were to (1) synthesize the literature across fields on how EMA methods have been used among MSM, (2) better understand the feasibility and acceptability of EMA interventions among MSM, and (3) inform designs for future research studies on best evidence-based practices for EMA interventions. METHODS: Based on 4 library databases, we conducted a scoping review of EMAs used within interventions among MSM. The eligibility criteria included peer-reviewed studies conducted in the United States and the use of EMA methodology in an intervention for MSM. Modeling after the Centers for Disease Control and Prevention's Compendium of Evidence-Based Interventions as the framework, we applied a typology that used 8 distinct review criteria, for example, sample size, design of the intervention, random assignment, design of the follow-up investigation, rate of retention, and rate of engagement. RESULTS: Our results (k=15, N=952) indicated a range of sample sizes; the smallest sample size was 12, while the largest sample size was 120. Of the 15 studies, 7 (47%) focused on outcomes related to substance use or outcomes related to psychological experiences. Of the 15 studies, 5 (33%) implemented an EMA intervention across 30 days. Of the 15 studies, 2 studies (13%) used random assignment, and 2 studies (13%) had quasi-experimental designs. Of the 15 studies, 10 studies (67%) reported acceptable retention rates greater than 70%. The outcomes that had event-contingent prompts (ie, prompts after engaging in substance use) were not as effective in engaging participants, with overall engagement rates as low as 37%. CONCLUSIONS: Our systematic scoping review indicates strong evidence that the EMA methodology is both feasible and acceptable at high rates among MSM, especially, when examining psychological and behavioral outcomes such as negative or positive affect, risky sexual behavior, or substance use. Further research on optimal designs of EMA interventions for MSM is warranted.

Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation.

Self-regulation is studied across various disciplines, including personality, social, cognitive, health, developmental, and clinical psychology; psychiatry; neuroscience; medicine; pharmacology; and economics. Widespread interest in self-regulation has led to confusion regarding both the constructs within the nomological network of self-regulation and the measures used to assess these constructs. To facilitate the integration of cross-disciplinary measures of self-regulation, we estimated product-moment and distance correlations among 60 cross-disciplinary measures of self-regulation (23 self-report surveys, 37 cognitive tasks) and measures of health and substance use based on 522 participants. The correlations showed substantial variability, though the surveys demonstrated greater convergent validity than did the cognitive tasks. Variables derived from the surveys only weakly correlated with variables derived from the cognitive tasks (M = .049, range = .000 to .271 for the absolute value of the product-moment correlation; M = .085, range = .028 to .241 for the distance correlation), thus challenging the notion that these surveys and cognitive tasks measure the same construct. We conclude by outlining several potential uses for this publicly available database of correlations.

Measurement of external food cue responsiveness in preschool-age children: Preliminary evidence for the use of the external food cue responsiveness scale.

BACKGROUND: Conditioned eating in response to external food cues may contribute to obesity risk in young children. OBJECTIVES: To develop a brief, parent-reported scale to measure external food cue responsiveness for preschool-age children. METHODS: Focus groups with parents of preschool-age children were conducted to create an initial pool of items reflecting children's behavioral responses to external food cues. Items were included in a nationally-distributed online survey of parents of preschool-age children (n = 456). Factor analysis was used to reduce the initial item pool, the scale's psychometric properties were assessed, and scores were correlated with reported snacking behaviors. RESULTS: Nine items met inclusion criteria in the final scale, which had high internal consistency (alpha = 0.86). Final scores were the mean across the nine items. External food cue responsiveness was greater among children with, versus without, usual TV advertisement exposure. Furthermore, greater external food cue responsiveness mediated the relationship between children's usual TV advertisement exposure and snacking during TV viewing. Findings remained statistically significant when adjusted for food responsiveness as measured with the Child Eating Behavior Questionnaire. CONCLUSIONS: Findings provide preliminary evidence that external food cue responsiveness is measurable by parental report in preschool-age children.

Household chaos and screen media use among preschool-aged children: a cross-sectional study.

BACKGROUND: Excess screen media use is a robust predictor of childhood obesity. Understanding how household factors may affect children's screen use is needed to tailor effective intervention efforts. The preschool years are a critical time for obesity prevention, and while it is likely that greater household disorder influences preschool-aged children's screen use, data on that relationship are absent. In this study, our goal was to quantify the relationships between household chaos and screen use in preschool-aged children. METHODS: A cross-sectional, online survey was administered to 385 parents of 2-5 year-olds recruited in 2017. Household chaos was measured with the Confusion, Hubbub and Order Scale (i.e., the chaos scale), a validated, parent-reported scale. The scale consists of 15 items, each scored on a 4-point Likert scale. Final scores were the sum across the 15 items and modeled as quartiles for analyses. Parents reported their children's screen use for nine electronic media activities. Adjusted linear and Poisson regression were used to model associations between household chaos and children's total weekly screen use, screen use within one hour of bedtime and screen use in the bedroom. RESULTS: Children averaged 31.0 (SD = 23.8) hours per week with screens, 49.6% used screens within one hour of bedtime and 41.0% used screens in their bedrooms. In adjusted regression models, greater household chaos was positively associated with weekly screen use (P = 0.03) and use of screens within one hour of bedtime (P < 0.01) in a dose-dependent manner. Children in the fourth versus the first quartile of household chaos were more likely to use screens in their bedroom (P = 0.03). CONCLUSIONS: Greater household chaos was associated with increased total screen use as well as screen use behaviors that are related to disrupted nighttime sleep. Findings suggest that household chaos may be an obesity risk factor during the preschool years because of such effects on screen use, and highlight the need to consider household chaos when implementing home-based obesity prevention programs for young children.

Harnessing Facebook for Smoking Reduction and Cessation Interventions: Facebook User Engagement and Social Support Predict Smoking Reduction.

BACKGROUND: Social media technologies offer a novel opportunity for scalable health interventions that can facilitate user engagement and social support, which in turn may reinforce positive processes for behavior change. OBJECTIVE: By using principles from health communication and social support literature, we implemented a Facebook group-based intervention that targeted smoking reduction and cessation. This study hypothesized that participants' engagement with and perceived social support from our Facebook group intervention would predict smoking reduction. METHODS: We recruited 16 regular smokers who live in the United States and who were motivated in quitting smoking at screening. We promoted message exposure as well as engagement and social support systems throughout the intervention. For message exposure, we posted prevalidated, antismoking messages (such as national antismoking campaigns) on our smoking reduction and cessation Facebook group. For engagement and social support systems, we delivered a high degree of engagement and social support systems during the second and third week of the intervention and a low degree of engagement and social support systems during the first and fourth week. A total of six surveys were conducted via Amazon Mechanical Turk (MTurk) at baseline on a weekly basis and at a 2-week follow-up. RESULTS: Of the total 16 participants, most were female (n=13, 81%), white (n=15, 94%), and between 25 and 50 years of age (mean 34.75, SD 8.15). There was no study attrition throughout the 6-time-point baseline, weekly, and follow-up surveys. We generated Facebook engagement and social support composite scores (mean 19.19, SD 24.35) by combining the number of likes each participant received and the number of comments or wall posts each participant posted on our smoking reduction and cessation Facebook group during the intervention period. The primary outcome was smoking reduction in the past 7 days measured at baseline and at the two-week follow-up. Compared with the baseline, participants reported smoking an average of 60.56 fewer cigarettes per week (SD 38.83) at the follow-up, and 4 participants out of 16 (25%) reported 7-day point prevalence smoking abstinence at the follow-up. Adjusted linear regression models revealed that a one-unit increase in the Facebook engagement and social support composite scores predicted a 0.56-unit decrease in cigarettes smoked per week (standard error =.24, P=.04, 95% CI 0.024-1.09) when baseline readiness to quit, gender, and baseline smoking status were controlled (F4, 11=8.85, P=.002). CONCLUSIONS: This study is the first Facebook group-based intervention that systemically implemented health communication strategies and engagement and social support systems to promote smoking reduction and cessation. Our findings imply that receiving one like or posting on the Facebook-based intervention platform predicted smoking approximately one less cigarette in the past 7 days, and that interventions should facilitate user interactions to foster user engagement and social support.

Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data.

BACKGROUND: Substance use-related communication for drug use promotion and its prevention is widely prevalent on social media. Social media big data involve naturally occurring communication phenomena that are observable through social media platforms, which can be used in computational or scalable solutions to generate data-driven inferences. Despite the promising potential to utilize social media big data to monitor and treat substance use problems, the characteristics, mechanisms, and outcomes of substance use-related communications on social media are largely unknown. Understanding these aspects can help researchers effectively leverage social media big data and platforms for observation and health communication outreach for people with substance use problems. OBJECTIVE: The objective of this critical review was to determine how social media big data can be used to understand communication and behavioral patterns of problematic use of prescription drugs. We elaborate on theoretical applications, ethical challenges and methodological considerations when using social media big data for research on drug abuse and addiction. Based on a critical review process, we propose a typology with key initiatives to address the knowledge gap in the use of social media for research on prescription drug abuse and addiction. METHODS: First, we provided a narrative summary of the literature on drug use-related communication on social media. We also examined ethical considerations in the research processes of (1) social media big data mining, (2) subgroup or follow-up investigation, and (3) dissemination of social media data-driven findings. To develop a critical review-based typology, we searched the PubMed database and the entire e-collection theme of "infodemiology and infoveillance" in the Journal of Medical Internet Research / JMIR Publications. Studies that met our inclusion criteria (eg, use of social media data concerning non-medical use of prescription drugs, data informatics-driven findings) were reviewed for knowledge synthesis. User characteristics, communication characteristics, mechanisms and predictors of such communications, and the psychological and behavioral outcomes of social media use for problematic drug use-related communications are the dimensions of our typology. In addition to ethical practices and considerations, we also reviewed the methodological and computational approaches used in each study to develop our typology. RESULTS: We developed a typology to better understand non-medical, problematic use of prescription drugs through the lens of social media big data. Highly relevant studies that met our inclusion criteria were reviewed for knowledge synthesis. The characteristics of users who shared problematic substance use-related communications on social media were reported by general group terms, such as adolescents, Twitter users, and Instagram users. All reviewed studies examined the communication characteristics, such as linguistic properties, and social networks of problematic drug use-related communications on social media. The mechanisms and predictors of such social media communications were not directly examined or empirically identified in the reviewed studies. The psychological or behavioral consequence (eg, increased behavioral intention for mimicking risky health behaviors) of engaging with and being exposed to social media communications regarding problematic drug use was another area of research that has been understudied. CONCLUSIONS: We offer theoretical applications, ethical considerations, and empirical evidence within the scope of social media communication and prescription drug abuse and addiction. Our critical review suggests that social media big data can be a tremendous resource to understand, monitor and intervene on drug abuse and addiction problems.

Analyzing Long-Duration and High-Frequency Data Using the Time-Varying Effect Model.

With the rapid development of methods for electronic data capture, longitudinal data sets with many assessment points have become common in mental health services and addiction research. These data typically exhibit complex and irregular patterns of change, and the relationship between variables may also change over time. Existing statistical methods are not flexible enough to capture this complexity, but a new method, the time-varying effect model (TVEM), permits modeling nearly any shape of change, and allows the effect of an independent variable on outcome to change over time. This paper introduces TVEM and illustrates its application using data from a 16-year study of 223 participants with serious mental illness and substance abuse.

Emotional expressions in antismoking television advertisements: consequences of anger and sadness framing on pathways to persuasion.

The authors conducted an experiment among U.S. college students (N = 115) to assess the effects of anger- and sadness-framed television antismoking advertisements on viewers' emotional response, impressions of the speaker, source likability, and empathy toward the speaker. The study was based on the fundamental assumptions of discrete emotions and was operationalized using the principles of universal facial expressions. The authors also constructed a path model to investigate how these variables predicted one's attitude toward smoking, attitude toward the tobacco industry, and intentions to smoke. Supporting study hypotheses, the anger-framed message increased the perceived dominance of the speaker relative to the other conditions. Perceived dominance, in turn, was negatively associated with smoking attitudes and, indirectly, smoking intentions. Contrary to study hypotheses, the sadness-framed message did not increase sad emotional responses, source likability, or empathy relative to the no emotion-framed message. The anger-framed message unexpectedly appeared to decrease these outcomes. Empathy and source likability were associated with positive attitudes toward the tobacco industry, but these attitudes did not predict intentions to smoke. The authors discuss the implications of these findings.

Development of the Rural Perception Scale (RPS-18).

BACKGROUND: People living in rural areas often experience limited access to health resources, slow knowledge diffusion, and geographical isolation, and tend to be at higher risk for poor physical and mental health outcomes compared with nonrural populations. It is unclear, yet, how the concept of "rural" shapes observed differences from nonrural populations. We aim to develop a psychometrically sound scale to assess key dimensions that constitute individual-level perceived rurality. METHODS: We first conducted a broad literature review to identify a priori concepts related to rurality and adapted survey items measuring relevant constructs, such as loneliness, attitudes toward people living in rural areas, and perceived social membership. We used these conceptual constructs and measures to develop a survey questionnaire focused on rural perceptions. We recruit residents in 3 rural states: Kentucky, New Hampshire, and Vermont. Using the explorative factor analysis and second-order measurement model in the structural equation model framework, we developed a rural perception scale consisting of 18 items. RESULTS: We recruited 1,384 participants (n = 686 from KY; n = 698 from NH/VT) using Amazon Mechanical Turk (n = 897, 64.8%) and social media paid ads (n = 487, 35.2%). The average age of participants was 41 years old (SD = 15); 54.7% of respondents had less than college graduate education, and 94.2% reported their race as non-Hispanic White. Majority of the participants were from Rural Urban Commuting Area (RUCA)-designated urban areas (n = 798, 57.7%), followed by RUCA-designated large rural areas (257, 18.6%), RUCA-designated rural areas (n = 174, 12.6%) and RUCA-designated isolated areas (n = 133, 9.6%). Our final model revealed 4 latent constructs: "belonging" (Cronbach's α = 0.896), "attitudes toward rural life" (Cronbach's α = 0.807), "loneliness" (Cronbach's α = 0.898), and "community social ties to people in their community" (Cronbach's α = 0.846). CONCLUSIONS: We identified 4 subfactors of the umbrella concept of rurality that explain how people in rural regions may perceive being in rural environments and having rural lifestyles.

The Together for Health - Virginia Research Program: A Multi-Modal Approach for Population Health Assessment.

Background: The Together for Health-Virginia (T4H-VA) Research Program aimed to advance cancer prevention, education, and outreach in Virginia. Creating a representative and inclusive cohort is critical to the program's mission and quality of outcomes. The T4H-VA Research Program utilized a multi-modal sampling approach to improve population health assessment. The current study describes the technology-based, non-probability platform developed for this purpose and compares differences between the probability-based (mail-based) and non-probability-based (e-cohort) methods with respect to participant demographics, health characteristics, and health information and technology use. Methods: T4H-VA is a research registry focusing on 54 counties within the Massey Comprehensive Cancer Center (MCCC) catchment area in Richmond, VA. Adult residents proficient in English were eligible. For the probability-based sampling, surveys were mailed to residents within the catchment area. For the non-probability sampling, an online study platform was developed and surveys were completed through the web/mobile app. Results: Both cohorts fell short of recruitment goals. The study yielded 1158 participants (M=57, SD=16 years; 55.0% female; 72.1% White); 899 (77.6%) were sampled through the probability, mail-based approach. Participants who identified as "other" race were significantly less likely to be sampled by the non-probability method. Significant differences emerged, including health protective (greater moderate and high physical activity) and risk factors (greater alcohol consumption and personal history of cancer) in the non-probability, e-cohort relative to the probability sample. E-Cohort participants were significantly more likely to report using electronic health records. Discussion: Overall difficulties in recruiting were caused, at least in part, by the onset of the COVID-19 pandemic and related factors. The e-cohort, which used exclusively digital recruitment strategies, fell significantly short of recruitment goals. This suggests in-person and mail-based strategies remain important for recruitment. Moreover, instead of favoring a singular approach, a combined approach to survey sampling may capitalize on the strengths of each sampling mode to increase diversity in sociodemographic and health risk characteristics.

Racial disparities in opioid prescription and pain management among breast cancer survivors.

BACKGROUND: We examined whether there are racial disparities in pain management, opioid medicine prescriptions, symptom severity, and quality of life constructs in breast cancer survivors. METHODS: We conducted a secondary analysis of longitudinal data from the Women's Hormonal Therapy Initiation and Persistence (WHIP) study (n = 595), a longitudinal study of hormonal receptor-positive breast cancer survivors. Upon study enrollment, patients completed a survey assessing an array of psychological, behavioral, and treatment outcomes, including adjuvant endocrine therapy (AET)-induced symptoms, and provided a saliva biospecimen. Opioid prescription records were extracted from the health maintenance organizations (HMOs) pharmacy database. The final analytic sample included women with complete HMO pharmacy records for 1 year. RESULTS: There were 251 eligible patients, of which 169 (67.3%) were White. The average age was 61.09 years old (SD = 11.07). One hundred seventy-two patients (68.5%) had received at least one opioid medication and 37.1% were prescribed opioids longer than 90 days (n = 93). Sixty-four Black patients (78%) had a record of being prescribed with opioids compared to 64% of White patients (n = 108, p = 0.03). Black patients reported worse vasomotor, neuropsychological, and gastrointestinal symptoms, as well as lower quality of life and greater healthcare discrimination than White patients (p's < 0.05). Black patients were more likely to be prescribed opioids for 90 days or longer compared to White patients, when controlling for age, marital status, income, body mass index (BMI), cancer stage, and chemotherapy status (adjusted Odds Ratio = 2.72, p = 0.014). CONCLUSION: Findings indicate that there are racial differences in opioid prescriptions supplied for pain management and symptomatic outcomes. Future research is needed to understand the causes of disparities in cancer pain management and symptomatic outcomes.

A Mixed Method Approach to Examine Surveillance Mammography Experiences in Black and White Breast Cancer Survivors.

PURPOSE: The use of surveillance mammography following a breast cancer (BC) diagnosis is associated with early detection of disease relapse and increased overall survival; yet Black women compared to White women have the lowest surveillance mammography rates, with limited explanation. To further understand this racial disparity the present study examines the association of mammography beliefs, knowledge, and healthcare delivery factors on receipt of surveillance mammography among Black and White breast cancer survivors. METHODS: This is a convergent parallel mixed method study design of an online survey and online focus groups among Black and White BC survivors (N = 266) recruited from community engagement. The online focus groups consisted of a series of theory-informed questions via social media platforms (eg Breastcancer.org, Quora, Reddit). An in-depth thematic analysis approach was used to extract themes from online focus group data. Bivariate (χ2) and multivariable logistic regression analyses were conducted using the survey data to examine associated factors with receipt of a surveillance mammography within 12 months (yes vs. no). RESULTS: 76% (n = 177) of women were Black, 62% were <5 years since diagnosis, 98% had health insurance, with an age range from 23 to 79 (mean = 55) years. 72% of the sample received a surveillance mammogram relative to 27%. Women more frequently received a surveillance mammogram if they reported perceived mammography benefits (<.001), underwent lumpectomy (P< .001) and had health insurance (P = .04). Black women without communication about surveillance care with providers had a lower likelihood of receiving a surveillance mammogram (OR:0.09,95% CI: 0.01-0.45, P = .003). Thematic findings from online focus groups included motivators for receipt of surveillance mammograms: physician recommendation, regular physical exams, and knowledge of recommended guidelines. Barriers of non-receipt of surveillance mammograms included: transportation, medical cost/financial barriers, feeling ignored from providers, and medical mistrust. CONCLUSION: Women may require more individualized information regarding their surveillance care to support routine guideline concordant follow-up. Patient-provider-communication is an integral part of Black survivors' surveillance care needs. Improving patient-provider communication for Black women's is necessary to address this group cancer care needs.

Momentary Self-regulation: Scale Development and Preliminary Validation.

BACKGROUND: Self-regulation refers to a person's ability to manage their cognitive, emotional, and behavioral processes to achieve long-term goals. Most prior research has examined self-regulation at the individual level; however, individual-level assessments do not allow the examination of dynamic patterns of intraindividual variability in self-regulation and thus cannot aid in understanding potential malleable processes of self-regulation that may occur in response to the daily environment. OBJECTIVE: This study aims to develop a brief, psychometrically sound momentary self-regulation scale that can be practically administered through participants' mobile devices at a momentary level. METHODS: This study was conducted in 2 phases. In the first phase, in a sample of 522 adults collected as part of a larger self-regulation project, we examined 23 previously validated assessments of self-regulation containing 594 items in total to evaluate the underlying structure of self-regulation via exploratory and confirmatory factor analyses. We then selected 20 trait-level items to be carried forward to the second phase. In the second phase, we converted each item into a momentary question and piloted the momentary items in a sample of 53 adults over 14 days. Using the results from the momentary pilot study, we explored the psychometric properties of the items and assessed their underlying structure. We then proposed a set of subscale and total score calculations. RESULTS: In the first phase, the selected individual-level items appeared to measure 4 factors of self-regulation. The factors identified were perseverance, sensation seeking, emotion regulation, and mindfulness. In the second phase of the ecological momentary assessment pilot, the selected items demonstrated strong construct validity as well as predictive validity for health risk behaviors. CONCLUSIONS: Our findings provide preliminary evidence for a 12-item momentary self-regulation scale comprising 4 subscales designed to capture self-regulatory dynamics at the momentary level.

Examining Rural-Urban Differences in Fatalism and Information Overload: Data from 12 NCI-Designated Cancer Centers.

BACKGROUND: Rural populations experience a disproportionate cancer burden relative to urban populations. One possibility is that rural populations are more likely to hold counterproductive cancer beliefs such as fatalism and information overload that undermine prevention and screening behaviors. METHODS: Between 2016 and 2020, 12 U.S. cancer centers surveyed adults in their service areas using online and in-person survey instruments. Participants (N = 10,362) were designated as rural (n = 3,821) or urban (n = 6,541). All participants were 18 and older (M = 56.97, SD = 16.55), predominately non-Hispanic White (81%), and female (57%). Participants completed three items measuring cancer fatalism ("It seems like everything causes cancer," "There's not much you can do to lower your chances of getting cancer," and "When I think about cancer, I automatically think about death") and one item measuring cancer information overload ("There are so many different recommendations about preventing cancer, it's hard to know which ones to follow"). RESULTS: Compared with urban residents, rural residents were more likely to believe that (i) everything causes cancer (OR = 1.29; 95% CI, 1.17-1.43); (ii) prevention is not possible (OR = 1.34; 95% CI, 1.19-1.51); and (iii) there are too many different recommendations about cancer prevention (OR = 1.26; 95% CI, 1.13-1.41), and cancer is always fatal (OR = 1.21; 95% CI, 1.11-1.33). CONCLUSIONS: Compared with their urban counterparts, rural populations exhibited higher levels of cancer fatalism and cancer information overload. IMPACT: Future interventions targeting rural populations should account for higher levels of fatalism and information overload.

Momentary Influences on Self-Regulation in Two Populations With Health Risk Behaviors: Adults Who Smoke and Adults Who Are Overweight and Have Binge-Eating Disorder.

Introduction: Self-regulation has been implicated in health risk behaviors and is a target of many health behavior interventions. Despite most prior research focusing on self-regulation as an individual-level trait, we hypothesize that self-regulation is a time-varying mechanism of health and risk behavior that may be influenced by momentary contexts to a substantial degree. Because most health behaviors (e.g., eating, drinking, smoking) occur in the context of everyday activities, digital technologies may help us better understand and influence these behaviors in real time. Using a momentary self-regulation measure, the current study (which was part of a larger multi-year research project on the science of behavior change) used ecological momentary assessment (EMA) to assess if self-regulation can be engaged and manipulated on a momentary basis in naturalistic, non-laboratory settings. Methods: This one-arm, open-label exploratory study prospectively collected momentary data for 14 days from 104 participants who smoked regularly and 81 participants who were overweight and had binge-eating disorder. Four times per day, participants were queried about momentary self-regulation, emotional state, and social and environmental context; recent smoking and exposure to smoking cues (smoking sample only); and recent eating, binge eating, and exposure to binge-eating cues (binge-eating sample only). This study used a novel, momentary self-regulation measure comprised of four subscales: momentary perseverance, momentary sensation seeking, momentary self-judgment, and momentary mindfulness. Participants were also instructed to engage with Laddr, a mobile application that provides evidence-based health behavior change tools via an integrated platform. The association between momentary context and momentary self-regulation was explored via mixed-effects models. Exploratory assessments of whether recent Laddr use (defined as use within 12 h of momentary responses) modified the association between momentary context and momentary self-regulation were performed via mixed-effects models. Results: Participants (mean age 35.2; 78% female) in the smoking and binge-eating samples contributed a total of 3,233 and 3,481 momentary questionnaires, respectively. Momentary self-regulation subscales were associated with several momentary contexts, in the combined as well as smoking and binge-eating samples. For example, in the combined sample momentary perseverance was associated with location, positively associated with positive affect, and negatively associated with negative affect, stress, and tiredness. In the smoking sample, momentary perseverance was positively associated with momentary difficulty in accessing cigarettes, caffeine intake, and momentary restraint in smoking, and negatively associated with temptation and urge to smoke. In the binge-eating sample, momentary perseverance was positively associated with difficulty in accessing food and restraint in eating, and negatively associated with urge to binge eat. While recent Laddr use was not associated directly with momentary self-regulation subscales, it did modify several of the contextual associations, including challenging contexts. Conclusions: Overall, this study provides preliminary evidence that momentary self-regulation may vary in response to differing momentary contexts in samples from two exemplar populations with risk behaviors. In addition, the Laddr application may modify some of these relationships. These findings demonstrate the possibility of measuring momentary self-regulation in a trans-diagnostic way and assessing the effects of momentary, mobile interventions in context. Health behavior change interventions may consider measuring and targeting momentary self-regulation in addition to trait-level self-regulation to better understand and improve health risk behaviors. This work will be used to inform a later stage of research focused on assessing the transdiagnostic mediating effect of momentary self-regulation on medical regimen adherence and health outcomes. Clinical Trial Registration: ClinicalTrials.gov, Identifier: NCT03352713.

Prevalence and Predictors of Children's Persistent Screen Time Requests: A National Sample of Parents.

Child screen media use may cause family conflict, and risk factors for such conflict are not well characterized. This study examined risk factors of persistent requesting to use screen media among preschool-age children, focusing on parent-reported characteristics of parent and child screen media use. Data was collected through an online survey completed in 2017 by a nationally recruited sample of 383 parents of 2-5-year-old children. Parents reported on their child's and their own screen media use, household/sociodemographic measures, and child requests to use screen media. Persistent requesting was defined as exhibiting "bothersome" or "very bothersome" behaviors to use screen media. Poisson regression with robust standard errors computed the prevalence risk ratio of persistent requests on parent and child screen media use characteristics, adjusted for household and sociodemographic characteristics. Overall, based on parents' reports, 28.7% of children exhibited persistent requesting, which was often accompanied by whining, crying, gesturing, or physically taking a device. In an adjusted regression model, higher amounts of parental time spent using social media, but not parental time spent using other screen media, was associated with a greater prevalence of children's persistent requests. In latter models, children's use of smartphones and engagement with online videos were independently related to persistent requests. Across all models, children's total quantity of screen media use was unrelated to persistent requests. Practitioners advising families on managing conflict around child screen media use should consider characteristics of both child and parent screen media use.