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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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

The article focuses on addressing healthy lifestyles and management of child obesity during the COVID-19 pandemic. A study was conducted to patients at the Children's Hospital of Philadelphia Care Network who were visited from January 2019 to December 2020 to measure their Body Mass Index (BMI). The result of the study reveals that in the pediatric primary care network, disparities in obesity rates are already alarming which increased since the onset of the pandemic.

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. [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.

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.)

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: 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.

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.)