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OBJECTIVE: To systematically review all studies examining sociocultural factors influencing cervical cancer screening among immigrant and ethnic minorities in the United States along the theoretical framework of the Health Belief Model. MATERIALS AND METHODS: MEDLINE/PubMed, Cumulative Index to Nursing and Allied Health Literature, EMBASE, and Cochrane database searches were conducted searching for English language, US-based studies to examine minority and immigrant populations within the theoretical framework of the Health Belief Model. Fifty-five of more than 3,381 potentially relevant articles were included in the final analysis. RESULTS: Commonly held beliefs across several cultural groups emerged including the following: fatalistic attitudes, a lack of knowledge about cervical cancer, fear of Pap smears threatening one's virginity, as well as beliefs that a Pap smear is unnecessary unless one is ill. Beliefs unique to specific cultural groups included: body-focused notions among Hispanics, as childbirth, menses, sex, and stress were considered to play a role in one's susceptibility to cancer. African Americans identified administrative processes in establishing health care as barriers to screening, whereas Asian immigrants held a variety of misconceptions concerning one's susceptibility to cancer as well as stigmatization imposed by their own community and providers. CONCLUSION: Health care providers and policy makers must be cognizant of the various sociocultural factors influencing health-related beliefs and health care utilization among immigrant and ethnic minorities in the United States. Culturally relevant screening strategies and programs that address these sociocultural factors must be developed to address the growing disparity in cervical cancer burden among underserved, resource-poor populations in the United States. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has been associated with increases in pediatric obesity and widening pre-existing disparities. To better understand the pandemic's long-term impacts, we evaluated trends in obesity across different demographic groups during the pandemic through December 2022. Using a retrospective cohort design, we analyzed electronic health record data from a large pediatric primary care network. Logistic regression models fit using generalized estimating equations estimated odds ratios (ORs) for changes in the level and trajectory of obesity across 2-year month-matched periods: prepandemic (June 2017 to December 2019) and pandemic (June 2020 to December 2022). Among a cohort of 153,667 patients with visits in each period, there was a significant increase in the level of obesity at the pandemic onset [OR: 1.229, 95% confidence interval (CI): 1.211-1.247] followed by a significant decrease in the trend for obesity (OR: 0.993, 95% CI: 0.992-0.993). By December 2022, obesity had returned to prepandemic levels. However, persistent sociodemographic disparities remain.

Background and Objectives: Early detection of health vulnerabilities in adolescents is integral to promoting healthy behaviors into adulthood. Our objective was to quantify the prevalence of health vulnerabilities among adolescents and examine differences by age and neighborhood opportunity., Methods: In a cross-sectional analysis of electronic health record data for adolescents aged 13 to 18 years with preventive visits in a large pediatric primary care network between September 2021 and September 2022, we examined 5 health vulnerabilities: Tobacco use, substance use, firearm access, condomless intercourse, and depressive symptoms. Health vulnerabilities were assessed via self-reported adolescent health questionnaire and the validated Patient Health Questionnaire-Modified. Prevalence of health vulnerabilities were calculated alone and in combination, and compared by age and by quintile of neighborhood Child Opportunity Index (COI) score. Multivariable logistic regression estimated associations of neighborhood COI with reporting ≥2 health vulnerabilities., Results: Among 40 197 adolescents (57.7% aged 13-15 years, 66.3% living in "high"/"very high" COI neighborhoods), 29.7% reported at least 1 health vulnerability and 7.9% reported ≥2 vulnerabilities. Cumulative health vulnerabilities were more prevalent among older adolescents and adolescents from lower opportunity neighborhoods. In adjusted models, lower COI was associated with 65% higher odds of having ≥2 vulnerabilities (odds ratio 1.65, 95% confidence interval 1.43-1.91) compared with adolescents from the highest COI quintile., Conclusions: Understanding the relationship between health vulnerabilities and neighborhood opportunities among adolescents may allow pediatric primary care providers and health systems to offer more tailored community support services and transdiagnostic specialized care navigation to address the health needs of teens with multiple vulnerabilities., (Copyright © 2023 by the American Academy of Pediatrics.)

Objective: Adolescent mental health concerns increased during COVID-19, but it is unknown whether early increases in depression and suicide risk have been sustained. We examined changes in positive screens for depression and suicide risk in a large pediatric primary care network through May 2022., Methods: Using an observational repeated cross-sectional design, we examined changes in depression and suicide risk during the pandemic using electronic health record data from adolescents. Segmented logistic regression was used to estimate risk differences (RD) for positive depression and suicide risk screens during the early pandemic (June 2020-May 2021) and late pandemic (June 2021-May 2022) relative to before the pandemic (March 2018-February 2020). Models adjusted for seasonality and standard errors accounted for clustering by practice., Results: Among 222,668 visits for 115,627 adolescents (mean age 15.7, 50% female), the risk of positive depression and suicide risk screens increased during the early pandemic period relative to the prepandemic period (RD, 3.8%; 95% CI, 2.9, 4.8; RD, 2.8%; 95% CI, 1.7, 3.8). Risk of depression returned to baseline during the late pandemic period, while suicide risk remained slightly elevated (RD, 0.7%; 95% CI, -0.4, 1.7; RD, 1.8%; 95% CI, 0.9%, 2.7%)., Conclusions: During the early months of the pandemic, there was an increase in positive depression and suicide risk screens, which later returned to prepandemic levels for depression but not suicide risk. Results suggest that pediatricians should continue to prioritize screening adolescents for depressive symptoms and suicide risk and connect them to treatment., (Copyright © 2023 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Importance: Neighborhood conditions are known to broadly impact child health. Research to date has not examined the association of the Childhood Opportunity Index (COI), a multidimensional indicator of neighborhood environment conditions, specifically with pediatric primary care outcomes., Objective: To determine the association of neighborhood opportunity measured by the COI with health metrics commonly captured clinically in pediatric primary care, reflecting both access to preventive care and child well-being., Design, Setting, and Participants: This cross-sectional observational study used electronic health record data from a large pediatric primary care network in the northeastern US. Participants included patients aged 0 to 19 years who were active in the primary care network between November 2020 and November 2022. Data were analyzed in December 2022., Exposure: Census tract-level COI overall score (in quintiles)., Main Outcomes and Measures: Outcomes included up-to-date preventive care and immunization status and presence of obesity, adolescent depression and suicidality, and maternal depression and suicidality. Multivariable mixed-effects logistic regressions estimated associations of these outcomes with COI quintiles, adjusted for age, sex, race and ethnicity, and insurance type., Results: Among 338 277 patients (mean [SD] age, 9.8 [5.9] years; 165 223 female [48.8%]; 158 054 [46.7%] non-Hispanic White, 209 482 [61.9%] commercially insured), 81 739 (24.2%) and 130 361 (38.5%) lived in neighborhoods of very low and very high COI, respectively. Living in very high COI neighborhoods (vs very low COI) was associated with higher odds of being up-to-date on preventive visits (odds ratio [OR], 1.40; 95% CI, 1.32-1.48) and immunizations (OR, 1.77; 95% CI, 1.58-2.00), and with lower odds of obesity (OR, 0.55; 95% CI, 0.52-0.58), adolescent depression (OR, 0.78; 95% CI, 0.72-0.84) and suicidality (OR, 0.79; 95% CI, 0.73-0.85), and maternal depression (OR, 0.78; 95% CI, 0.72-0.86) and suicidality (OR, 0.71; 95% CI, 0.61-0.83)., Conclusions and Relevance: This cross-sectional study of electronic health record data found that neighborhood opportunity was associated with multiple pediatric primary care outcomes. Understanding these associations can help health systems identify neighborhoods that need additional support and advocate for and develop partnerships with community groups to promote child well-being. The findings underscore the importance of improving access to preventive care in low COI communities.

Objective: Neighborhood-level factors, including education, health and environment, and socioeconomic exposures, are important contextual determinants of child health. We explored whether these factors, measured via the Childhood Opportunity Index 2.0, were associated with sleep health in adolescents., Methods: Actigraphy was used to assess sleep duration, timing, and efficiency among 110 adolescents in eighth (13.9 (0.4)) and ninth (14.9 (0.4)) grade. Home addresses were geocoded and linked to Childhood Opportunity Index 2.0 scores (including 3 subtype scores and the 29 individual factor Z-scores). Mixed-effects linear regression was used to determine associations between the Childhood Opportunity Index 2.0 scores and the sleep outcomes, adjusting for sex, race, parent education, household income, school grade and weeknight status. Interactions were also tested by school grade, weeknight status, sex, and race., Results: No associations were observed between overall or subtype scores with sleep outcomes in adolescents. However, we detected associations between select individual Childhood Opportunity Index 2.0 Z-scores, spanning health & environment and education domains, and sleep outcomes. For example, greater fine particulate matter was associated with later timing of sleep onset and offset; ozone concentration was associated with earlier sleep onset and offset; greater exposure to extreme temperature was associated with later sleep onset and offset and increased odds of optimal sleep efficiency., Conclusions: Specific neighborhood factors indexed by the Childhood Opportunity Index 2.0 were associated with sleep health among adolescents. In particular, neighborhood air quality measures were associated with sleep timing and efficiency, warranting further investigation., Competing Interests: Declaration of conflict of interest The authors have no conflicts of interest to report., (Copyright © 2023 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Objective: A growing evidence base suggests home and neighborhood environmental exposures may influence adolescent sleep, but few studies have assessed these relationships using methods that account for time-varying, location-specific exposures, or multiple neighborhood contexts. This study aimed to assess the feasibility and acceptability of using smartphone global positioning system (GPS) tracking and ecological momentary assessment (EMA) to assess time-varying home and neighborhood environmental exposures hypothesized to be associated with adolescent sleep., Methods: Adolescents aged 15-17 years in Philadelphia completed 7 days of continuous smartphone GPS tracking, which was used to identify daily levels of exposure to geocoded neighborhood factors (eg, crime, green space). Four daily EMA surveys assessed home sleep environment (eg, noise, light), stress, health behaviors, and neighborhood perceptions. Feasibility and acceptability of GPS tracking and EMA were assessed, and distributions of daily environmental exposures were examined., Results: Among 25 teens (mean age 16, 56% male), there was a high level of GPS location data captured (median daily follow-up: 24 hours). Seventy-eight percent of EMA surveys were completed overall. Most participants (96%) reported no privacy concerns related to GPS tracking and minimal burden from EMA surveys. Exposures differed between participants' home neighborhoods and locations visited outside the home neighborhood (eg, higher crime away from home). Sleep environment disruptions were present on 29% of nights (most common: uncomfortable temperature) and were reported by 52% of adolescents., Conclusions: Results demonstrate the feasibility and acceptability of mobile methods for assessing time-varying home and neighborhood exposures relevant to adolescent sleep for up to 1 week., (Copyright © 2023 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Introduction: Pediatric obesity rates increased during the COVID-19 pandemic. This study examined the associations of neighborhood greenspace with changes in pediatric obesity during the pandemic., Methods: Electronic health record data from a large pediatric primary care network were extracted to create a retrospective cohort of patients aged 2-17 years with a visit in each of 2 periods: June 2019-December 2019 (before pandemic) and June 2020-December 2020 (pandemic). Multivariable longitudinal generalized estimating equations Poisson regression estimated the associations of census tract‒level Normalized Difference Vegetation Index with (1) changes in obesity risk during the pandemic and (2) risk of new-onset obesity among children who were not obese prepandemic. Analyses were conducted between November 2021 and May 2022., Results: Among 81,418 children (mean age: 8.4 years, 18% Black), the percentage of children who were obese increased by 3.2% during the pandemic. Children in Normalized Difference Vegetation Index Quartiles 2-4 had smaller increases in obesity risk during the pandemic than those in Quartile 1 (risk ratio=0.96, 95% CI=0.93, 0.99; Quartile 3 risk ratio=0.95; 95% CI=0.91, 0.98; Quartile 4 risk ratio=0.95, 95% CI=0.92, 0.99). Among the subset who were not obese before the pandemic, children in Normalized Difference Vegetation Index quartiles 3-4 had a lower risk of new-onset obesity during the pandemic (Quartile 3 risk ratio=0.82, 95% CI=0.71, 0.95; Quartile 4 risk ratio=0.73, 95% CI=0.62, 0.85). Higher Normalized Difference Vegetation Index was associated with smaller increases in obesity risk and lower risk of new-onset obesity among children in urban and suburban areas, but results were in the opposite direction for children in rural areas., Conclusions: Children living in greener neighborhoods experienced smaller increases in obesity during the pandemic than children in less green neighborhoods, although findings differed by urbanicity., (Copyright © 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Chronic parental stress may negatively impact health among both parents and children. Adverse neighborhood social conditions like crime may increase stress while a supportive neighborhood may buffer stress and promote well-being. Our objective was to examine associations between neighborhood social factors and stress among mothers of young children., Methods: We surveyed 300 mothers/female caregivers of Medicaid-enrolled 2 to 4-year-old children in Philadelphia. Maternal stress was measured via the 10-item Perceived Stress Scale (range 0-40). Mothers' perceived neighborhood safety and collective efficacy were assessed using validated scales. Addresses were geocoded to link census tract-level violent crime rates. We used multivariable linear regression to examine associations of neighborhood safety, collective efficacy, and crime with maternal stress, adjusted for demographics, household socioeconomic status, and neighborhood poverty., Results: Among mothers (mean age 31, 60% Black/African American), higher perceived neighborhood safety and collective efficacy were associated with lower stress scores after adjustment for covariates. Each 1-point increase (on a 5-point scale) in perceived neighborhood safety was associated with a 2.30-point decrease in maternal stress (95% CI: -3.07, -1.53). Similarly, each 1-point increase in perceived collective efficacy was associated with a 3.08-point decrease in maternal stress (95% CI: -4.13, -2.02). Police-recorded violent crime rates were not associated with maternal stress., Conclusion: Mothers of young children who perceive their neighborhood social environment more favorably report less stress compared to those who feel their neighborhood environment is less safe and cohesive. Future work is warranted to investigate whether interventions that increase perceived neighborhood safety and collective efficacy reduce stress., (Copyright © 2022 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Background: Positive neighborhood environments may promote healthier behaviors, yet few studies have examined associations between neighborhood social environment and diet. We examined associations of neighborhood perceived safety, collective efficacy, and violent crime with dietary intake among preschool-aged children and their mothers. Methods: We administered a cross-sectional survey to 300 mothers/female caregivers of Medicaid-enrolled 2- to 4-year-old children in Philadelphia. Mothers reported their own and their child's dietary intake using the validated Dietary Screener Questionnaire. Mixed-effects linear regression models assessed associations of perceived neighborhood safety, collective efficacy, and census tract-level violent crime with parent and child dietary intake, adjusted for individual, family, and neighborhood covariates. Results: Among mothers, higher perceived neighborhood safety and collective efficacy were associated with higher daily intake of fruits/vegetables (β = 0.35 cups, 95% CI: 0.12-0.58 and β = 0.30 cups, 95% CI: 0.08-0.52, comparing the highest with lowest tertile). Higher neighborhood-perceived safety was also associated with higher whole-grain intake among mothers (β = 0.14 ounces, 95% CI: 0.02-0.27) and children (β = 0.07 ounces, 95% CI: 0.01-0.13, comparing the highest with lowest tertile). Neighborhood social exposures were not associated with intake of added sugars or sugar-sweetened beverages for mothers or children, nor were lower levels of violent crime associated with any outcome. Conclusions: More favorable perceptions of neighborhood safety and collective efficacy were associated with a slightly higher consumption of some healthy foods among mothers and their young children. Future prospective research is needed to confirm these findings, explore potential mechanisms, and determine whether intervening on the social environment improves diet.

Background: Neighborhood-level racial residential segregation has been linked to several cardiovascular disease risk factors and outcomes in Black adults, but its impact on subclinical atherosclerosis remains unknown. In addition, although the impact of segregation on health may vary over the life course, most studies have examined segregation exposure at a single point in time. This article takes a life course approach by examining associations of exposure to neighborhood-level racial residential segregation in young adulthood and patterns of exposure from young adulthood to midlife with coronary artery calcification (CAC) incidence., Methods: We used data on 1125 Black CARDIA study (Coronary Artery Risk Development in Young Adults) participants free of CAC. Residential segregation was assessed using the G i * statistic and measured when participants were young adults (18-30 years old, in 1985-1986) and as the pattern from young adulthood to midlife (15 years later). Poisson regression with generalized estimating equations models was used to measure CAC incidence., Results: We found participants living in low segregation neighborhoods in young adulthood had 0.52 (rate ratio [95% CI: 0.28-0.98]) times lower risk of developing CAC compared with high segregation after adjusting for young adulthood sociodemographic characteristics and neighborhood poverty. Associations were attenuated and no longer statistically significant with adjustment for midlife CAC risk factors hypothesized to be on the causal pathway (rate ratio: 0.56 [95% CI: 0.29-1.09]). Findings for patterns of segregation over time suggest participants living in low segregation neighborhoods in young adulthood were less likely to develop CAC than those who started out in medium/high segregation neighborhoods, regardless of where they lived in midlife (rate ratio for increase from low to medium/high: 0.42 [95% CI: 0.19-0.95]; rate ratio for continuously low versus continuously medium/high segregation neighborhoods: 0.75 [95% CI: 0.31-1.83])., Conclusions: We found that participants living in more segregated neighborhoods in young adulthood were more likely to develop CAC due at least in part to differences in CAC risk factor burden accumulated over follow-up.

Food insecurity has myriad associations with poor health, and low-income communities have higher than average prevalence of food insecurity. Living in a supportive neighborhood social environment may protect against food insecurity, while adverse neighborhood social conditions, such as crime, may increase the likelihood of food insecurity. To examine associations between food insecurity and neighborhood social factors among families with young children, we administered a cross-sectional survey to 300 mothers and female caregivers of Medicaid-enrolled two- to four-year-old children in Philadelphia. We used multivariable regression to examine associations between food insecurity and perceived neighborhood safety, social cohesion, informal social control, and crime, adjusted for demographics, socioeconomic status, and neighborhood characteristics. Lower food insecurity prevalence was associated with higher perceived neighborhood safety and social cohesion, and lower police-recorded violent crime rates. Future work to increase food security among low-income households may benefit from targeting the neighborhood social environment.

Background: Mental health concerns increased during the coronavirus disease 2019 pandemic, but previous studies have not examined depression screening in pediatric primary care. We aimed to describe changes in screening, depressive symptoms, and suicide risk among adolescents during the coronavirus disease 2019 pandemic., Methods: In a repeat cross-sectional analysis of electronic health record data from a large pediatric primary care network, we compared the percentage of primary care visits where adolescents aged 12 to 21 were screened for depression, screened positive for depressive symptoms, or screened positive for suicide risk between June and December 2019 (prepandemic) and June and December 2020 (pandemic). Changes were examined overall, by month, and by sex, race and ethnicity, insurance type, and income. Modified Poisson regression was used to calculate prevalence ratios (PRs) for the prepandemic to pandemic changes., Results: Depression screening at primary care visits declined from 77.6% to 75.8% during the pandemic period (PR: 0.98, 95% confidence interval [CI]: 0.90-1.06). The percentage of adolescents screening positive for depressive symptoms increased from 5.0% to 6.2% (PR: 1.24, 95% CI: 1.15-1.34), with greater increases among female, non-Hispanic Black, and non-Hispanic white adolescents. Positive suicide risk screens increased from 6.1% to 7.1% (PR: 1.16, 95% CI: 1.08-1.26), with a 34% relative increase in reporting recent suicidal thoughts among female adolescents (PR: 1.34, 95% CI: 1.18-1.52)., Conclusions: Results suggest that depression and suicide concerns have increased during the pandemic, especially among female adolescents. Results underscore the importance of consistent depression and suicidality screening., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest relevant to this article to disclose., (Copyright © 2021 by the American Academy of Pediatrics.)

Study Objectives: Over 75% of US high school students obtain insufficient sleep, placing them at risk for adverse health outcomes. Identification of modifiable determinants of adolescent sleep is needed to inform prevention strategies, yet little is known about the influence of the built environment on adolescent sleep., Methods: In this prospective study, actigraphy was used to assess sleep outcomes among 110 adolescents for 14 days each in eighth and ninth grades: duration (hours/night), onset and offset, and sleeping ≥8 hours. Home addresses were linked to built environment exposures: sound levels, tree canopy cover, street density, intersection density, population density, and housing density. Mixed-effects regression estimated associations of built environment measures with sleep outcomes, adjusting for sex, race, parent education, household income, household size, grade, weeknight status, and neighborhood poverty., Results: A 1-standard deviation (SD) increase in neighborhood sound was associated with 16 minutes later sleep onset (β = 0.28; 95% confidence interval (CI): 0.06, 0.49) and 25% lower odds of sleeping for ≥8 hours (odds ratio (OR) = 0.75, 95% CI: 0.59, 0.96). A 1-SD increase in neighborhood tree canopy was associated with 18 minutes earlier sleep onset (β = -0.31, 95% CI: -0.49, -0.13) and 10 minutes earlier sleep offset (β= -0.17, 95% CI: -0.28, -0.05). No associations were observed for density-based exposures., Conclusions: Higher neighborhood sound level was associated with lower odds of sufficient sleep, while higher tree canopy cover was associated with more favorable sleep timing. Neighborhood sound levels and tree canopy cover are potential targets for policies and interventions to support healthier sleep among adolescents., (© Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.)

Understanding salient environmental determinants of pediatric sleep is essential for informing interventions and public health initiatives. Emerging evidence suggests that the neighborhood environment can impact pediatric sleep, but this evidence has not yet been systematically reviewed. We conducted a systematic review of the scientific literature on associations between neighborhood environments and sleep in young children (0-5 y), school-aged children (6-12 y) and adolescents (13-18 y). We reviewed 85 articles published between 2003 and 2020. The most commonly examined neighborhood exposure was low socioeconomic status (40 studies), which was associated with sleep outcomes in 58% of studies (primarily shorter sleep duration, later sleep timing, or obstructive sleep apnea). Evidence was stronger for neighborhood safety/crime/violence (21 studies), with 86% of studies reporting associations with sleep outcomes (primarily self- or caregiver-reported sleep problems). Fewer studies examined associations of neighborhood physical environment exposures, including noise (15 studies), the built environment (seven studies), and air pollution (six studies). Limitations of the current body of evidence include 1) limited examination of neighborhood exposures other than socioeconomic status or safety, 2) use of primarily cross-sectional observational study designs, 3) lack of objective sleep outcome assessment, and 4) limits of current exposure assessment methods., Competing Interests: Conflicts of interest The authors have no conflicts of interests relevant to this article to disclose., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

When the COVID-19 pandemic struck the United States in early 2020, few healthcare workers were prepared for what lay ahead. Dermatology nurses, medical assistants, and nurse practitioners experienced rapid changes in the way they conducted their daily practice. This article discusses many of those changes and explores the challenges these healthcare workers faced and continue to face. Almost every aspect of how dermatologic care was delivered prepandemic was affected. Some dermatology nurses, medical assistants, and nurse practitioners were redeployed to COVID-19 testing tents and inpatient hospital units or were asked to perform tasks to help support other healthcare workers. This article explores how clinical practice, dermatology staff, patient care, and education were affected. These changes forced dermatology healthcare workers to be brave, accept risks, and ultimately grow from these experiences., Competing Interests: The authors declare no conflict of interest., (Copyright © 2020 by the Dermatology Nurses’ Association.)

Although racial residential segregation and interpersonal racial discrimination are associated with cardiovascular disease, few studies have examined their link with diabetes risk or management. We used longitudinal data from 2,175 black participants in the Coronary Artery Risk Development in Young Adults (CARDIA) Study to examine associations of racial residential segregation (G i * statistic) and experiences of racial discrimination with diabetes incidence and management. Multivariable Cox models estimated associations for incident diabetes and GEE logistic regression estimated associations with diabetes management (meeting targets for HbA1c, systolic blood pressure, and LDL cholesterol). Neither segregation nor discrimination were associated with diabetes incidence or management., Competing Interests: Declaration of competing interest None., (Copyright © 2020. Published by Elsevier Ltd.)

Poor diet, low physical activity, sedentary behavior and smoking are modifiable risk factors for chronic diseases that often develop early in life. An improved understanding of how unhealthy behaviors co-occur within individual children across childhood and adolescence could inform the development of more effective prevention approaches. Using data from the 2011-2016 National Health and Nutrition Examination Survey, we calculated weighted prevalence of five unhealthy behaviors - excessive screen time, poor diet quality, low physical activity, fast food consumption, and smoking (adolescents only) - alone and in combination among U.S. children and adolescents, stratified by age group (2-5, 6-11, 12-15, and 16-19 years). Multivariable logistic regression was used to estimate associations between health behavior clustering (≥2 unhealthy behaviors) and sociodemographic characteristics by age group. Among 7714 children and adolescents, the most prevalent behaviors were excessive screen time and poor diet quality. Unhealthy behavior clustering increased significantly with age (from 29.0% for ages 2-5 to 73.9% for ages 16-19 years, p-trend: <0.0001). The most common health behavior combination was excessive screen time and poor diet (from 14.4% prevalence for ages 2-5 to 45.3% for ages 16-19 years). Smoking prevalence was low, but 97% of smokers had ≥1 other unhealthy behavior. Unhealthy behavior clustering was significantly more prevalent among black than white children (ages 2-5 and 6-11) and less prevalent among Hispanic older adolescents (age 16-19). Associations with household characteristics varied by age group. These results provide a population-level understanding of the extent to which unhealthy behaviors co-occur in U.S. children and adolescents., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Adverse pregnancy outcomes increase infants' risk for mortality and future health problems. Neighborhood physical disorder may contribute to adverse pregnancy outcomes by increasing maternal chronic stress. Google Street View technology presents a novel method for assessing neighborhood physical disorder but has not been previously examined in the context of birth outcomes. In this cross-sectional study, trained raters used Google's Street View imagery to virtually audit a randomly sampled block within each Chicago census tract (n = 809) for nine indicators of physical disorder. We used an item-response theory model and spatial interpolation to calculate tract-level neighborhood physical disorder scores across Chicago. We linked these data with geocoded electronic health record data from a large, academic women's hospital in Chicago (2015-2017, n = 14,309 births). We used three-level hierarchical Poisson regression to estimate prevalence ratios for the associations of neighborhood physical disorder with preterm birth (overall and spontaneous), small for gestational age (SGA), and hypertensive disorder of pregnancy (HDP). After adjustment for maternal sociodemographics, multiparity, and season of birth, living in a neighborhood with high physical disorder was associated with higher prevalence of PTB, SGA, and HDP (prevalence ratios and 95% confidence intervals 1.21 (1.06, 1.39) for PTB, 1.13 (1.01, 1.37) for SGA, and 1.23 (1.07, 1.42) for HDP). Adjustment for neighborhood poverty and maternal health conditions (e.g., hypertension, diabetes, asthma, substance use) attenuated associations. Results suggest that an adverse neighborhood physical environment may contribute to adverse pregnancy outcomes. However, future work is needed to disentangle the unique contribution of physical disorder from other characteristics of disadvantaged neighborhoods.

Introduction: Few studies have used longitudinal cohort data to examine associations of cigarette prices with smoking cessation or whether price sensitivity varies by income or education. This study examines these associations in a multicenter US cohort and explores whether associations vary by education and income., Methods: Longitudinal data from baseline daily cigarette smokers aged 18-30 years in the Coronary Artery Risk Development in Young Adults study were linked to inflation-adjusted cigarette carton prices from the Council for Community and Economic Research Cost of Living Index based on residential address at baseline and in years 7, 10, and 15 (1985-2001). Multivariable Cox models estimated hazard ratios (HRs) of first (any) smoking cessation and sustained smoking cessation (no relapse) associated with each $1 increase in time-dependent cigarette price over 15 years of follow-up. Models were adjusted for sociodemographic, health-related, and policy covariates. We assessed effect modification by education and household income., Results: Among 1489 participants, a $1.00 higher cigarette carton price was associated with a 16% higher likelihood of first smoking cessation (HR = 1.16, 95% CI = 1.11 to 1.21) and an 8% higher likelihood of sustained smoking cessation (HR = 1.08, 95% CI = 1.02 to 1.14). Associations were strongest among participants with lower income for first cessation, and among those with higher income for sustained cessation. Associations were strongest for participants with less than a high school degree for both outcomes., Conclusions: Results suggest higher cigarette prices promote smoking cessation among young to middle-aged adults, and that price sensitivity may differ by socioeconomic status., Implications: Few studies have examined longitudinal associations of cigarette prices with smoking cessation, and findings are mixed on whether price sensitivity varies by education or income. In a cohort of US adult daily smokers, cigarette prices were associated with greater likelihood of both a first cessation and sustained cessation. Price associations with first cessation were stronger among low-income smokers, but associations with sustained cessation were stronger among high-income smokers. Results suggest that although higher cigarette prices may promote short-term smoking cessation among smokers at all income levels, additional supports may be needed to facilitate sustained smoking cessation among low-income smokers., (© The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Racial residential segregation has been linked to adverse health outcomes, but associations may operate through multiple pathways. Prior studies have not examined associations of neighbourhood-level racial segregation with an index of cardiometabolic risk (CMR) and whether associations differ by race/ethnicity., Methods: We used data from the Multi-Ethnic Study of Atherosclerosis to estimate cross-sectional and longitudinal associations of baseline neighbourhood-level racial residential segregation with a composite measure of CMR. Participants included 5015 non-Hispanic black, non-Hispanic white and Hispanic participants aged 45-84 years old over 12 years of follow-up (2000-2012). We used linear mixed effects models to estimate race-stratified associations of own-group segregation with CMR at baseline and with the rate of annual change in CMR. Models were adjusted for sociodemographics, medication use and individual-level and neighbourhood-level socioeconomic status (SES)., Results: In models adjusted for sociodemographics and medication use, high baseline segregation was associated with higher baseline CMR among blacks and Hispanics but lower baseline CMR among whites. Individual and neighbourhood-level SES fully explained observed associations between segregation and CMR for whites and Hispanics. However, associations of segregation with CMR among blacks remained (high vs low segregation: mean difference 0.17 SD units, 95% CI 0.02 to 0.32; medium vs low segregation: mean difference 0.18 SD units, 95% CI 0.03 to 0.33). Baseline segregation was not associated with change in CMR index scores over time., Conclusion: Associations of own-group racial residential segregation with CMR varied by race/ethnicity. After accounting for SES, living in a more segregated neighbourhood was associated with greater risk among black participants only., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)

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 with reductions in blood pressure ( BP ). Methods and Results Longitudinal data from 2606 nonsmoking adult participants of the CARDIA (Coronary Artery Risk Development in Young Adults) Study (1995-2011) were linked to state, county, and local-level 100% smoke-free policies in bars, restaurants, and/or nonhospitality workplaces based on participants' census tract of residence. Mixed-effects models estimated associations of policies with BP and hypertension trajectories over 15 years of follow-up. Fixed-effects regression estimated associations of smoke-free policies with within-person changes in systolic and diastolic BP and hypertension. Models were adjusted for sociodemographic, health-related, and policy/geographic covariates. Smoke-free policies were associated with between-person differences and within-person changes in systolic BP . Participants living in areas with smoke-free policies had lower systolic BP on average at the end of follow-up compared with those in areas without policies (adjusted predicted mean differences [in mm Hg]: restaurant: -1.14 [95% confidence interval: -2.15, -0.12]; bar: -1.52 [-2.48, -0.57]; workplace: -1.41 [-2.32, -0.50]). Smoke-free policies in restaurants and bars were associated with mean within-person reductions in systolic BP of -0.85 (-1.61, -0.09) and -1.08 (-1.82, -0.34), respectively. Only restaurant policies were associated with a significant within-person reduction in diastolic BP , of -0.58 (-1.15, -0.01). Conclusions While the magnitude of associations was small at the individual level, results suggest a potential mechanism through which reductions in secondhand smoke because of smoke-free policies may improve population-level cardiovascular health.

Background: Racial residential segregation is associated with higher rates of chronic hypertension, as well as greater risk of preterm birth and low birthweight. However, few studies have examined associations between segregation and hypertensive disorder of pregnancy (HDP)., Methods: Electronic health records from 4,748 singleton births among non-Hispanic black women at Prentice Women's Hospital in Chicago, IL (2009-2013) were geocoded to the census tract level. Residential segregation was measured using the Gi* statistic, a z-score measuring the extent to which each individual's neighborhood composition deviates from the composition of the larger surrounding area. Segregation was categorized as low (z < 0), medium (z = 0-1.96) or high (z > 1.96). We estimated cross-sectional associations of segregation with HDP using multilevel logistic regression models with census tract random intercepts. Models adjusted for neighborhood poverty and maternal characteristics. We also examined effect modification by neighborhood poverty., Results: Overall, 27.2% of women lived in high segregation, high-poverty neighborhoods. Racial residential segregation was not associated as a main effect with HDP in models adjusting for neighborhood poverty and maternal characteristics. However, at higher levels of neighborhood poverty (>20%), women living in high- and medium-segregated neighborhoods had greater odds of HDP relative to those in low-segregation neighborhoods (P interaction: 0.002)., Conclusions: In this sample of non-Hispanic black women in Chicago, racial residential segregation was associated with greater prevalence of HDP among those living in higher poverty neighborhoods. Understanding sources of heterogeneity in the relationship between segregation and health will help refine targeted intervention efforts to reduce disparities.

Background: Smoke-free legislation has been associated with lower rates of cardiovascular disease hospital admissions in ecological studies. However, prior studies lacked detailed information on individual-level factors (eg, sociodemographic and clinical characteristics) that could potentially confound associations. Our objective was to estimate associations of smoke-free policies with incident cardiovascular disease in a longitudinal cohort after controlling for sociodemographics, cardiovascular disease risk factors, and policy covariates., Methods: Longitudinal data from 3783 black and white adults in the CARDIA study (Coronary Artery Risk Development in Young Adults; 1995-2015) were linked to state, county, and local 100% smoke-free policies in bars, restaurants, and nonhospitality workplaces by Census tract. Extended Cox regression estimated hazard ratios (HRs) of incident cardiovascular disease associated with time-dependent smoke-free policy exposures. Models were adjusted for sociodemographic characteristics, cardiovascular disease risk factors, state cigarette tax, participant-reported presence of a smoking ban at their workplace, field center, and metropolitan statistical area poverty., Results: During a median follow-up of 20 years (68 332 total person-years), 172 participants had an incident cardiovascular disease event (2.5 per 1000 person-years). Over the follow-up period, 80% of participants lived in areas with smoke-free policies in restaurants, 67% in bars, and 65% in nonhospitality workplaces. In fully adjusted models, participants living in an area with a restaurant, bar, or workplace smoke-free policy had a lower risk of incident cardiovascular disease compared with those in areas without smoke-free policies (HR, 0.75, 95% confidence interval, 0.49-1.15; HR, 0.76, 95% confidence interval, 0.47-1.24; HR, 0.54, 95% confidence interval, 0.34-0.86, respectively; HR, 0.58, 95% confidence interval, 0.33-1.00 for living in an area with all 3 types of policies compared with none). The estimated preventive fraction was 25% for restaurant policies, 24% for bar policies, and 46% for workplace policies., Conclusions: Consistent with prior ecological studies, these individual-based data add to the evidence that 100% smoke-free policies are associated with lower risk of cardiovascular disease among middle-aged adults.

Background: High neighborhood crime and low perceptions of safety may influence blood pressure (BP) through chronic stress. Few studies have examined these associations using longitudinal data., Methods: We used longitudinal data from 528 participants of the Multi-Ethnic Study of Atherosclerosis (aged 45-84, nonhypertensive at baseline) who lived in Chicago, Illinois. We examined associations of changes in individual-level perceived safety, aggregated neighborhood-level perceived safety, and past-year rates of police-recorded crime in a 1, ½, or ¼ mile buffer per 1,000 population with changes in systolic and diastolic BPs using fixed-effects linear regression. BP was measured five times between 2000 and 2012 and was adjusted for antihypertensive medication use (+10 mm Hg added to systolic and +5 mm Hg added to diastolic BP for participants on medication). Models were adjusted for time-varying sociodemographic and health-related characteristics and neighborhood socioeconomic status. We assessed differences by sex., Results: A standard deviation increase in individual-level perceived safety was associated with a 1.54 mm Hg reduction in systolic BP overall (95% confidence interval [CI]: 0.25, 2.83), and with a 1.24 mm Hg reduction in diastolic BP among women only (95% CI: 0.37, 2.12) in adjusted models. Increased neighborhood-level safety was not associated with BP change. An increase in police-recorded crime was associated with a reduction in systolic and diastolic BPs among women only, but results were sensitive to neighborhood buffer size., Conclusions: Results suggest individual perception of neighborhood safety may be particularly salient for systolic BP reduction relative to more objective neighborhood exposures.

Neighborhood psychosocial stressors like crime and physical disorder may influence obesity-related outcomes through chronic stress or through adverse effects on health behaviors. Google Street View imagery provides a low-cost, reliable method for auditing neighborhood physical disorder, but few studies have examined associations of Street View-derived physical disorder scores with health outcomes. We used Google Street View to audit measures of physical disorder for residential census blocks from 225 women aged 18⁻44 enrolled from 4 Chicago neighborhoods. Latent neighborhood physical disorder scores were estimated using an item response theory model and aggregated to the block group level. Block-group level physical disorder scores and rates of police-recorded crime and 311 calls for service requests were linked to participants based on home addresses. Associations were estimated for 6 obesity-related outcomes: body mass index, obesity, total moderate-to-vigorous physical activity, and weekly consumption of sugar-sweetened beverages, fast food, and snacks. Hierarchical regression models estimated cross-sectional associations adjusting for individual sociodemographics and neighborhood poverty. Higher neighborhood physical disorder was associated with greater odds of obesity (OR: 1.43, 95% CI: 1.01, 2.02). Living in a neighborhood with a higher crime rate was associated with an increase in weekly snack consumption of 3.06 (95% CI: 1.59, 4.54).

Indoor smoking bans have often been associated with reductions in smoking prevalence. However, few studies have evaluated their association with within-person changes in smoking behaviors. We linked longitudinal data from 5,105 adults aged 18-30 years at baseline from the Coronary Artery Risk Development in Young Adults (CARDIA) Study (1985-2011) to state, county, and local policies mandating 100% smoke-free bars and restaurants by census tract. We used fixed-effects models to examine the association of smoking bans with within-person change in current smoking risk, smoking intensity (smoking ≥10 cigarettes/day on average vs. <10 cigarettes/day), and quitting attempts, using both linear and nonlinear adjustment for secular trends. In models assuming a linear secular trend, smoking bans were associated with a decline in current smoking risk and smoking intensity and an increased likelihood of a quitting attempt. The association with current smoking was greatest among participants with a bachelor's degree or higher. In models with a nonlinear secular trend, pooled results were attenuated (confidence intervals included the null), but effect modification results were largely unchanged. Findings suggest that smoking ban associations may be difficult to disentangle from other tobacco control interventions and emphasize the importance of evaluating equity throughout policy implementation.

Objective: Pediatric dermatology appointment wait times often exceed several months. We evaluated the usability, acceptability, and clinical impact of a store-and-forward teledermatology mobile application (app) linking families with pediatric dermatologists., Methods: Parents of children age 6 weeks to 17 years or individuals 18-21 years old were invited (by e-mail or referral) to participate in this single group, prospective study. Within the app, users photographed the skin condition, answered questions, and submitted their case for review. One pediatric dermatologist viewed cases, diagnosed conditions, and provided instructions and prescriptions. User surveys immediately following app use and 1 week later, supplemented by electronic logs, assessed usability, acceptability, and impact., Results: One hundred ninety-seven parents and one adolescent submitted cases within 39 days of invitation. App users were more likely to be white than those in the population invited (67% vs. 34%, p < 0.001) and their children were slightly younger (mean 7.3 vs. 9.0 years, p < 0.001). A majority, 83% found the app easy to use, 97% felt that submitting a case took "the right amount of time," 87% were satisfied, and 93% would use the app again. Prescription receipt was associated with increased app satisfaction (p = 0.008). The median user received a response in 2.8 h (interquartile range 1.1-6.4). Had the app been unavailable, 44% reported that they would have waited for primary care, 32% for a dermatology appointment, and 7% would have gone to an urgent care clinic., Conclusions: A mobile health app allowing families to directly consult a pediatric dermatologist was usable, acceptable, and expedited care.

Background: Adverse pregnancy outcomes are associated with higher cardiovascular disease risk among mothers and future health problems of offspring. Neighbourhood crime may contribute to adverse pregnancy outcomes by increasing chronic stress, yet the association has been relatively understudied., Methods: Electronic health records from 34 383 singleton births at a single hospital in Chicago (2009-2013) were geocoded and linked to 1-year rates of police-recorded crime at the neighbourhood (Chicago community area) level. Crimes included homicide, assault/battery, criminal offences and incivilities. Cross-sectional associations of total neighbourhood crime rates with hypertensive disease of pregnancy (HDP: pre-eclampsia/gestational hypertension), preterm birth (PTB), spontaneous preterm birth (sPTB) and small-for-gestational-age (SGA) birth were assessed using multilevel logistic regression with community-area random intercepts. Models controlled for maternal and infant characteristics and neighbourhood poverty. We then assessed associations between individual crime categories and all outcomes., Results: Total neighbourhood crime rates ranged from 11.6 to 303.5 incidents per 1000 persons per year (mean: 61.5, SD: 40.3). A 1-SD higher total neighbourhood crime rate was associated with higher odds of HDP (OR: 1.06, 95% CI 1.00 to 1.13), PTB (OR: 1.09, 95% CI 1.03 to 1.15), sPTB (OR: 1.09, 95% CI 1.03 to 1.16) and SGA (OR: 1.05, 95% CI 1.01 to 1.10) in fully adjusted models. Associations were generally consistent across crime categories, although only assault/battery and incivilities were associated with HDP., Conclusions: Higher neighbourhood crime rates were associated with small but significant increases in the odds of adverse pregnancy outcomes. Interventions that cultivate safer neighbourhoods may be a promising approach for improving pregnancy outcomes., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background: Few studies have examined associations of geographically proximal cigarette prices with within-person changes in smoking outcomes or assessed interactions between cigarette prices and smoking bans., Methods: We linked neighborhood cigarette prices (inflation-adjusted) at chain supermarkets and drug stores and bar/restaurant smoking ban policies to cohort participants (632 smokers from the Multi-Ethnic Study of Atherosclerosis, 2001-2012, baseline mean age 58 years) using geocoded retailer and participant addresses. We used fixed-effects models to investigate associations of within-person changes in price and ban exposures with within-person changes in five smoking outcomes: current smoking, heavy (≥10 cigarettes) smoking, cessation, relapse, and intensity (average number of cigarettes smoked per day, natural log transformed). We assessed intensity associations among all smokers, and heavy (≥10 cigarettes per day) and light (<10) baseline smokers. Finally, we tested interactions between cigarette price and bans., Results: A $1 increase in price was associated with a 3% reduction in risk of current smoking (adjusted risk ratio [aRR]: 0.97; 95% confidence interval [CI] = 0.93, 1.0), a 7% reduction in risk of heavy smoking (aRR: 0.93; CI = 0.87, 0.99), a 20% increase in risk of smoking cessation (aRR: 1.2; CI = 0.99, 1.4), and a 35% reduction in the average number of cigarettes smoked per day by heavy baseline smokers (ratio of geometric means: 0.65; CI = 0.45, 0.93). We found no association between smoking bans and outcomes, and no evidence that price effects were modified by the presence of bans., Conclusions: Results underscore the importance of local prices, but not hospitality smoking bans, in influencing older adults' smoking behaviors.

Objective: To evaluate a distance-learning, quality improvement intervention to improve pediatric primary care provider use of attention-deficit/hyperactivity disorder (ADHD) rating scales., Methods: Primary care practices were cluster randomized to a 3-part distance-learning, quality improvement intervention (web-based education, collaborative consultation with ADHD experts, and performance feedback reports/calls), qualifying for Maintenance of Certification (MOC) Part IV credit, or wait-list control. We compared changes relative to a baseline period in rating scale use by study arm using logistic regression clustered by practice (primary analysis) and examined effect modification by level of clinician participation. An electronic health record-linked system for gathering ADHD rating scales from parents and teachers was implemented before the intervention period at all sites. Rating scale use was ascertained by manual chart review., Results: One hundred five clinicians at 19 sites participated. Differences between arms were not significant. From the baseline to intervention period and after implementation of the electronic system, clinicians in both study arms were significantly more likely to administer and receive parent and teacher rating scales. Among intervention clinicians, those who participated in at least 1 feedback call or qualified for MOC credit were more likely to give parents rating scales with differences of 14.2 (95% confidence interval [CI], 0.6-27.7) and 18.8 (95% CI, 1.9-35.7) percentage points, respectively., Conclusion: A 3-part clinician-focused distance-learning, quality improvement intervention did not improve rating scale use. Complementary strategies that support workflows and more fully engage clinicians may be needed to bolster care. Electronic systems that gather rating scales may help achieve this goal. Index terms: ADHD, primary care, quality improvement, clinical decision support.

Background: Few studies have focused on the impact of neighborhood social environment on changes in smoking and alcohol use over time among African Americans., Method: Jackson Heart Study participants were recruited from the Jackson, MS metropolitan area from 2000 to 2004. Neighborhood social environment was characterized using census-based neighborhood socio-economic status (NSES) and survey-derived perceptions of neighborhood social cohesion, disorder, and violence. Multinomial logistic regression was used to estimate the associations of neighborhood social environment with prevalence of smoking and alcohol use and with changes in these behaviors over time adjusted for individual sociodemographic characteristics., Results: Participants (N=3166) resided in 108 census tracts. All neighborhood social environment variables were consistently associated with prevalence of current smoking at baseline (11%) and with persistence of smoking over a median of 8-years follow-up (8%). The odds of being a consistent smoker relative to never smoking was about 30% higher per 1SD higher neighborhood violence (aOR: 1.30, 95% CI: 1.16-1.46) and disorder (aOR: 1.26, 95% CI: 1.08 - 1.47) and at least 16% lower per 1SD higher in neighborhood social cohesion (aOR: 0.84, 95% CI: 0.74-0.95) and NSES (aOR: 0.79, 95% CI: 0.67-0.95). Heavy alcohol use at baseline (17%) and consistent heavy use over the study period (8%) were negatively associated with higher NSES (aOR: 0.85, 95% CI: 0.73-0.99 per 1SD increase in NSES)., Conclusion: Favorable neighborhood social environments may reduce unhealthy behaviors among African Americans., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Background: Social features of neighbourhood environments may influence smoking by creating a stressful environment or by buffering stress through social cohesion. However, the association of the overall neighbourhood social environment (NSE) with smoking, and the association of specific neighbourhood social factors with change in smoking behaviour over time, has rarely been examined., Methods: This study included 5856 adults aged 45-84 years from the Multi-Ethnic Study of Atherosclerosis (2000-2012, average follow-up: 7.8 years). Outcomes included current smoking status and smoking intensity (average number of cigarettes smoked per day among baseline smokers). NSE was assessed as a composite score composed of aesthetic quality, safety and social cohesion scales (derived from neighbourhood surveys). Generalised linear mixed models evaluated the association of baseline NSE (composite score and individual scales) with current smoking (modified Poisson models) and smoking intensity (negative binomial models) cross-sectionally and longitudinally., Results: Each SD increase in baseline NSE composite score was associated with 13% lower prevalence of smoking at baseline (adjusted prevalence ratio (aPR) 0.87 (95% CI 0.78 to 0.98). Neighbourhood safety and aesthetic quality were similarly associated with lower smoking prevalence (aPR 0.87 (0.78 to 0.97) and aPR 0.87 (0.77 to 0.99), respectively) but the association with social cohesion was weaker or null. No significant associations were observed for smoking intensity among baseline smokers. Baseline NSE was not associated with changes in smoking risk or intensity over time., Conclusions: Results suggest that neighbourhood social context influences whether older adults smoke, but does not promote smoking cessation or reduction over time., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

We compared results of a modified version of the Asthma Control Test using parent proxy report (PP-ACT) with results reported by children and parents using the validated Childhood-Asthma Control Test (C-ACT). 104 parent-child dyads with a child aged 6 to 12 years with asthma were randomized to complete PP-ACT followed by C-ACT or C-ACT followed by PP-ACT. Scores ≤19 indicated uncontrolled asthma. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for the PP-ACT in comparison with the C-ACT, and calculated concordance between the 2 scales. The PP-ACT had sensitivity of 86% and negative predictive value of 88% for detecting uncontrolled asthma. More than 75% of surveys were concordant (κ = 0.54, moderate agreement). Our results suggest that while the PP-ACT missed few children with uncontrolled asthma and may simplify reporting of asthma control in circumstances when child report is not feasible or creates barriers to survey receipt, limitations of proxy reporting should be considered.

In the USA, little is known about local variation in retail cigarette prices; price variation explained by taxes, bans, and area-level socio-demographics, and whether taxes and hospitality bans have synergistic effects on smoking prevalence. Cigarette prices 2001-2011 from chain supermarkets and drug stores ( n = 2973) were linked to state taxes ( n = 41), state and county bar/restaurant smoking bans, and census block group socio-demographics. Hierarchical models explored effects of taxes and bans on retail cigarette prices as well as county smoking prevalence (daily, non-daily). There was wide variation in store-level cigarette prices in part due to differences in state excise taxes. Excise taxes were only partially passed onto consumers (after adjustment, $1 tax associated with $0.90 increase in price, p < 0.0001) and the pass-through was slightly higher in areas that had bans but did not differ by area-level socio-demographics. Bans were associated with a slight increase in cigarette price (after adjustment, $0.09 per-pack, p < 0.0001). Taxes and bans were associated with reduction in smoking prevalence and taxes had a stronger association when combined with bans, suggesting a synergistic effect. Given wide variation in store-level prices, and uneven state/county implementation of taxes and bans, more federal policies should be considered.

Objective: To evaluate the change in the diagnosis of attention-deficit/hyperactivity disorder (ADHD) and prescribing of stimulants to children 4 to 5 years old after release of the 2011 American Academy of Pediatrics guideline., Methods: Electronic health record data were extracted from 63 primary care practices. We included preventive visits from children 48 to 72 months old receiving care from January 2008 to July 2014. We compared rates of ADHD diagnosis and stimulant prescribing before and after guideline release using logistic regression with a spline and clustering by practice. Patterns of change (increase, decrease, no change) were described for each practice., Results: Among 87 067 children with 118 957 visits before the guideline and 56 814 with 92 601 visits after the guideline, children had an ADHD diagnosis at 0.7% (95% confidence interval [CI], 0.7% to 0.8%) of visits before and 0.9% (95% CI, 0.8% to 0.9%) after guideline release and had stimulant prescriptions at 0.4% (95% CI, 0.4% to 0.4%) of visits in both periods. A significantly increasing preguideline trend in ADHD diagnosis ended after guideline release. The rate of stimulant medication use remained constant before and after guideline release. Patterns of change from before to after the guideline varied significantly across practices., Conclusions: Release of the 2011 guideline that addressed ADHD in preschoolers was associated with the end of an increasing rate of diagnosis, and the rate of prescribing stimulants remained constant. These are reassuring results given that a standardized approach to diagnosis was recommended and stimulant treatment is not first-line therapy for this age group., Competing Interests: POTENTIAL CONFLICT OF INTEREST: Dr Fiks was awarded an Independent Research Grant from Pfizer for work on ADHD unrelated to this project. The remaining authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2016 by the American Academy of Pediatrics.)

Background: Patient portals may improve communication between families of children with asthma and their primary care providers and improve outcomes. However, the feasibility of using portals to collect patient-reported outcomes from families and the barriers and facilitators of portal implementation across diverse pediatric primary care settings have not been established., Objective: We evaluated the feasibility of using a patient portal for pediatric asthma in primary care, its impact on management, and barriers and facilitators of implementation success., Methods: We conducted a mixed-methods implementation study in 20 practices (11 states). Using the portal, parents of children with asthma aged 6-12 years completed monthly surveys to communicate treatment concerns, treatment goals, symptom control, medication use, and side effects. We used logistic regression to evaluate the association of portal use with child characteristics and changes to asthma management. Ten clinician focus groups and 22 semistructured parent interviews explored barriers and facilitators of use in the context of an evidence-based implementation framework., Results: We invited 9133 families to enroll and 237 (2.59%) used the portal (range by practice, 0.6%-13.6%). Children of parents or guardians who used the portal were significantly more likely than nonusers to be aged 6-9 years (vs 10-12, P=.02), have mild or moderate/severe persistent asthma (P=.009 and P=.04), have a prescription of a controller medication (P<.001), and have private insurance (P=.002). Portal users with uncontrolled asthma had significantly more medication changes and primary care asthma visits after using the portal relative to the year earlier (increases of 14% and 16%, respectively). Qualitative results revealed the importance of practice organization (coordinated workflows) as well as family (asthma severity) and innovation (facilitated communication and ease of use) characteristics for implementation success., Conclusions: Although use was associated with higher treatment engagement, our results suggest that achieving widespread portal adoption is unlikely in the short term. Implementation efforts should include workflow redesign and prioritize enrollment of symptomatic children., Clinicaltrial: Clinicaltrials.gov NCT01966068; https://clinicaltrials.gov/ct2/show/NCT01966068 (Archived by WebCite at http://www.webcitation.org/6i9iSQkm3).

Background: Primary care pediatricians increasingly care for children's mental health problems, but little is known about practice-level variation in diagnosis and psychotropic medication prescribing practices., Methods: This retrospective review of electronic heath records from 43 US primary care practices included children aged 4 to 18 years with ≥1 office visit from January 1, 2009, to June 30, 2014. We examined variability in diagnosis and psychotropic prescribing across practices using logistic regression with practice fixed effects and evaluated associations of the availability of colocated or community-based mental health providers or the proportion of children in foster care with diagnosis and prescribing using generalized linear mixed models., Results: Among 294 748 children, 40 932 (15%) received a mental health diagnosis and 39 695 (14%) were prescribed psychotropic medication. Attention deficit/hyperactivity disorder was most commonly diagnosed (1%-16% per practice). The proportion of children receiving any psychotropic medication (4%-26%) and the proportion receiving ≥2 medication classes (1%-12%) varied across practices. Prescribing of specific medication classes also varied (stimulants, 3%-18%; antidepressants, 1%-12%; α-agonists, 0%-8%; second-generation antipsychotics, 0%-5%). Variability was partially explained by community availability of psychiatrists (significantly higher odds of a diagnosis or prescription when not available) but not by colocation of mental health professionals or percentage of children in foster care., Conclusions: The prevalence of mental health diagnosis and psychotropic medication prescribing varies substantially across practices and is only partially explained by psychiatrist availability. Research is needed to better define the causes of variable practice-level diagnosis and prescribing and implications for child mental health outcomes., (Copyright © 2016 by the American Academy of Pediatrics.)

Background: Many pediatricians are now required to participate in American Board of Pediatrics Maintenance of Certification (MOC) Part IV programs focused on improving health care quality, but the benefits of participation are unproven., Methods: Twenty-seven primary care pediatricians from 11 primary care practices participated in a 1-year MOC program for human papillomavirus (HPV) vaccine. Participants received education and electronic health record (EHR)-generated performance feedback reports with their rates of captured HPV immunization opportunities (dose given at eligible visit) and those of peers. In each of 3 cycles, clinicians collectively identified a goal for improvement. Rates of captured opportunities among adolescents 11 to <18 years old were tabulated, and statistical process control charts were created to evaluate changes over time among participants compared with 200 nonparticipants. Provider perceptions of the program and time invested were recorded via survey., Results: Participating clinicians missed fewer opportunities for HPV vaccination than nonparticipants. MOC participants significantly increased their captured opportunities relative to nonparticipating clinicians by 5.7 percentage points for HPV dose 1 at preventive visits and by 0.7 and 5.6 percentage points for doses 1 and 2, respectively, at acute visits. There were no significant differences for other doses. The estimated program cost was $662/participant. Of the participating pediatricians, 96% felt the effort to participate was warranted, and half would not have joined the project without the MOC requirement., Conclusions: Participation in MOC Part IV improved vaccination at modest cost and with high pediatrician satisfaction, demonstrating benefits of the program that may help to inform future initiatives., (Copyright © 2016 by the American Academy of Pediatrics.)

Background: Quasi-experimental studies of menu labeling have found mixed results for improving diet. Differences between experimental groups can hinder interpretation. Propensity scores are an increasingly common method to improve covariate balance, but multiple methods exist and the improvements associated with each method have rarely been compared. In this re-analysis of the impact of menu labeling, we compare multiple propensity score methods to determine which methods optimize balance between experimental groups., Methods: Study participants included adult customers who visited full-service restaurants with menu labeling (treatment) and without (control). We compared the balance between treatment groups obtained by four propensity score methods: 1) 1:1 nearest neighbor matching (NN), 2) augmented 1:1 NN (using caliper of 0.2 and an exact match on an imbalanced covariate), 3) full matching, and 4) inverse probability weighting (IPW). We then evaluated the treatment effect on differences in nutrients purchased across the different methods., Results: 1:1 NN resulted in worse balance than the original unmatched sample (average standardized absolute mean distance [ASAM]: 0.185 compared to 0.171). Augmented 1:1 NN improved balance (ASAM: 0.038) but resulted in a large reduction in sample size. Full matching and IPW improved balance over the unmatched sample without a reduction in sample size (ASAM: 0.049 and 0.031, respectively). Menu labeling was associated with decreased calories, fat, sodium and carbohydrates in the unmatched analysis. Results were qualitatively similar in the propensity score matched/weighted models., Conclusions: While propensity scores offer an increasingly popular tool to improve causal inference, choosing the correct method can be challenging. Our results emphasize the benefit of examining multiple methods to ensure results are consistent, and considering approaches beyond the most popular method of 1:1 NN matching.

Policies and changes to the built environment are promising targets for obesity prevention efforts and can be evaluated as 'natural'- or 'quasi'-experiments. This systematic review examined the use of natural- or quasi-experiments to evaluate the efficacy of policy and built environment changes on obesity-related outcomes (body mass index, diet or physical activity). PubMed (Medline) was searched for studies published 2005-2013; 1,175 abstracts and 115 papers were reviewed. Of the 37 studies included, 18 studies evaluated impacts on nutrition/diet, 17 on physical activity and 3 on body mass index. Nutrition-related studies found greater effects because of bans/restrictions on unhealthy foods, mandates offering healthier foods, and altering purchase/payment rules on foods purchased using low-income food vouchers compared with other interventions (menu labelling, new supermarkets). Physical activity-related studies generally found stronger impacts when the intervention involved improvements to active transportation infrastructure, longer follow-up time or measured process outcomes (e.g., cycling rather than total physical activity), compared with other studies. Only three studies directly assessed body mass index or weight, and only one (installing light-rail system) observed a significant effect. Studies varied widely in the strength of their design and studies with weaker designs were more likely to report associations in the positive direction., (© 2015 World Obesity.)

Objectives: The purpose of this study was to describe rates and patterns of long- and short-acting alpha agonist use for behavioral problems in a primary care population following Food and Drug Administration (FDA) approval of the long-acting alpha agonists guanfacine and clonidine., Methods: Children and adolescents 4-18 years of age, who received an alpha agonist prescription between 2009 and 2011, were identified from a sample of 45 United States primary care practices in two electronic health record-based research networks. Alpha agonist receipt was identified using National Drug Codes and medication names. The proportion of subjects receiving long- and short-acting prescriptions in each year was calculated and examined with respect to reported mental health diagnoses, and whether indications for use were on-label, had evidence from clinical trials, or had no trial evidence., Results: In a cohort of 282,875 subjects, 27,671 (10%) received any psychotropic medication and only 4,227 subjects (1.5%) received at least one prescription for an alpha agonist, most commonly a short-acting formulation (83%). Only 20% of alpha agonist use was on-label (use of long-acting formulations for attention-deficit/hyperactivity disorder [ADHD]). Most subjects (68%) received alpha agonists for indications with evidence of efficacy from clinical trials but no FDA approval, primarily short-acting formulations for ADHD and autism; 12% received alpha agonists for diagnoses lacking randomized clinical trial evidence in children, including sleep disorders and anxiety, or for which there was no documented mental health diagnosis. Rates of long-acting alpha agonist use increased more than 20-fold from 0.2% to 4%, whereas rates of short-acting alpha agonist use grew only slightly between 2009 and 2011 from 10.6% to 11.3%., Conclusions: Alpha agonist use was uncommon in this population, and most subjects received short-acting forms for conditions that were off-label, but with clinical trial evidence. The safety and efficacy of use for conditions, including sleep disorders and anxiety, lacking evidence from randomized trials, warrant further investigation.

Background: Electronic health record (EHR)-linked patient portals are a promising approach to facilitate shared decision-making between families of children with chronic conditions and pediatricians. This study evaluated the feasibility, acceptability, and impact of MyAsthma, an EHR-linked patient portal supporting shared decision-making for pediatric asthma., Methods: We conducted a 6-month randomized controlled trial of MyAsthma at 3 primary care practices. Families were randomized to MyAsthma, which tracks families' asthma treatment concerns and goals, children's asthma symptoms, medication side effects and adherence, and provides decision support, or to standard care. Outcomes included the feasibility and acceptability of MyAsthma for families, child health care utilization and asthma control, and the number of days of missed school (child) and work (parent). Descriptive statistics and longitudinal regression models assessed differences in outcomes between study arms., Results: We enrolled 60 families, 30 in each study arm (mean age 8.3 years); 57% of parents in the intervention group used MyAsthma during at least 5 of the 6 study months. Parents of children with moderate to severe persistent asthma used the portal more than others; 92% were satisfied with MyAsthma. Parents reported that use improved their communication with the office, ability to manage asthma, and awareness of the importance of ongoing attention to treatment. Parents in the intervention group reported that children had a lower frequency of asthma flares and intervention parents missed fewer days of work due to asthma., Conclusions: Use of an EHR-linked asthma portal was feasible and acceptable to families and improved clinically meaningful outcomes., (Copyright © 2015 by the American Academy of Pediatrics.)

Background: Missed opportunities for human papilloma virus (HPV) vaccination are common, presenting a barrier to achieving widespread vaccine coverage and preventing infection., Purpose: To compare the impact of clinician- versus family-focused decision support, none, or both on captured opportunities for HPV vaccination., Design: Twelve-month cluster randomized controlled trial conducted in 2010-2011., Setting/participants: Adolescent girls aged 11-17 years due for HPV Dose 1, 2, or 3 receiving care at primary care practices., Intervention: Twenty-two primary care practices were cluster randomized to receive a three-part clinician-focused intervention (educational sessions, electronic health record-based alerts, and performance feedback) or none. Within each practice, girls were randomized at the patient level to receive family-focused, automated, educational phone calls or none. Randomization resulted in four groups: clinician-focused, family-focused, combined, or no intervention., Main Outcome Measures: Standardized proportions of captured opportunities (due vaccine received at clinician visit) were calculated among girls in each study arm. Analyses were conducted in 2013., Results: Among 17,016 adolescent girls and their 32,472 visits (14,247 preventive, 18,225 acute), more HPV opportunities were captured at preventive than acute visits (36% vs 4%, p<0.001). At preventive visits, the clinician intervention increased captured opportunities by 9 percentage points for HPV-1 and 6 percentage points for HPV-3 (p≤0.01), but not HPV-2. At acute visits, the clinician and combined interventions significantly improved captured opportunities for all three doses (p≤0.01). The family intervention was similar to none. Results differed by practice setting; at preventive visits, the clinician intervention was more effective for HPV-1 in suburban than urban settings, whereas at acute visits, the clinician intervention was more effective for all doses at urban practices., Conclusions: Clinician-focused decision support is a more effective strategy than family-focused to prevent missed HPV vaccination opportunities. Given the persistence of missed opportunities even in intervention groups, complementary strategies are needed. This study is registered at clinicaltrials.gov NCT01159093., (Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Summary: Mass spectrometry is being increasingly used in the structural elucidation of mega-Dalton protein complexes in an approach termed MS3D, referring to the application of MS to the study of macromolecular structures. This involves the identification of cross-linked residues in the constituent proteins of chemically cross-linked multi-subunit complexes. AnchorMS was developed to simplify MS3D studies by identifying cross-linked peptides in complex peptide mixtures, and to determine the specific residues involved in each cross-link. When identifying cross-linked peptide pairs (CLPP), AnchorMS implements a mathematical model to exclude false positives by using a dynamic score threshold to estimate the number of false-positive peak matches expected in an MS/MS spectrum. This model was derived from CLPPs with randomly generated sequences. AnchorMS does not require specific sample labeling or pre-treatment, and AnchorMS is especially suited for discriminating between CLPPs that differ only in the cross-linked residue pairs., Availability: AnchorMS was coded in Python, and is available as a free web service at cbio.ufs.ac.za/AnchorMS.

Multi-subunit protein complexes are involved in many essential biochemical processes including signal transduction, protein synthesis, RNA synthesis, DNA replication and protein degradation. An accurate description of the relative structural arrangement of the constituent subunits in such complexes is crucial for an understanding of the molecular mechanism of the complex as a whole. Many complexes, however, lie in the mega-Dalton range, and are not amenable to X-ray crystallographic or nuclear magnetic resonance analysis. Techniques that are suited to structural studies of such large complexes, such as cryo-electron microscopy, do not provide the resolution required for a mechanistic insight. Mass spectrometry (MS) has increasingly been applied to identify the residues that are involved in chemical cross-links in compound protein assemblies, and have provided valuable insight into the molecular arrangement, orientation and contact surfaces of subunits within such large complexes. This approach is known as MS3D, and involves the MS analysis of cross-linked di-peptides following the enzymatic cleavage of a chemically cross-linked complex. A major challenge of this approach is the identification of the cross-linked di-peptides in a composite mixture of peptides, as well as the identification of the residues involved in the cross-link. These analyses require bioinformatics tools with capabilities beyond that of general, MS-based proteomic analysis software. Many MS3D software tools have appeared, often designed for very specific experimental methods. Here, we provide a review of all major MS3D bioinformatics programmes, reviewing their applicability to different workflows, specific experimental requirements and the computational approach taken by each.