Differential impact of the Canadian point-of-sale tobacco display bans on quit attempts and smoking cessation outcomes by sex, income and education: longitudinal findings from the ITC Canada Survey.

SIGNIFICANCE: This study examines the differential effects of Canadian point-of-sale (POS) tobacco display bans across provinces on quit attempts and smoking cessation, by sex, education and income. METHODS: We analysed survey data from five waves (waves 4-8) of the International Tobacco Control Canada Survey, a population-based, longitudinal survey, where provinces implemented display bans between 2004 and 2010. Primary outcomes were quit attempts and successful cessation. We used generalised estimating equation Poisson regression models to estimate associations between living in a province with or without a POS ban (with a 24-month threshold) and smoking outcomes. We tested whether these associations varied by sex, education and income by including interaction terms. RESULTS: Across survey waves, the percentage of participants in provinces with POS bans established for more than 24 months increased from 5.0% to 95.8%. There was no association between POS bans and quit attempts for provinces with bans in place for 0-24 months or more than 24 months, respectively (adjusted relative risk (aRR)=0.99, 95% CI: 0.89 to 1.10; 1.03, 95% CI: 0.88 to 1.20). However, we found a differential impact of POS bans on quit attempts by sex, whereby bans were more effective for women than men for bans of 0-24 months. Participants living in a province with a POS ban for at least 24 months had a higher chance of successful cessation (aRR=1.49; 95% CI: 1.08 to 2.05) compared with those in a province without a ban. We found no differences in the association between POS bans and quit attempts or cessation by education or income, and no differences by sex for cessation. CONCLUSION: POS bans are associated with increased smoking cessation overall and more quit attempts among women than men.

Differences in Weight Gain Following Residential Relocation in the Moving to Health (M2H) Study.

BACKGROUND: Neighborhoods may play an important role in shaping long-term weight trajectory and obesity risk. Studying the impact of moving to another neighborhood may be the most efficient way to determine the impact of the built environment on health. We explored whether residential moves were associated with changes in body weight. METHODS: Kaiser Permanente Washington electronic health records were used to identify 21,502 members aged 18-64 who moved within King County, WA between 2005 and 2017. We linked body weight measures to environment measures, including population, residential, and street intersection densities (800 m and 1,600 m Euclidian buffers) and access to supermarkets and fast foods (1,600 m and 5,000 m network distances). We used linear mixed models to estimate associations between postmove changes in environment and changes in body weight. RESULTS: In general, moving from high-density to moderate- or low-density neighborhoods was associated with greater weight gain postmove. For example, those moving from high to low residential density neighborhoods (within 1,600 m) gained an average of 4.5 (95% confidence interval [CI] = 3.0, 5.9) lbs 3 years after moving, whereas those moving from low to high-density neighborhoods gained an average of 1.3 (95% CI = -0.2, 2.9) lbs. Also, those moving from neighborhoods without fast-food access (within 1600m) to other neighborhoods without fast-food access gained less weight (average 1.6 lbs [95% CI = 0.9, 2.4]) than those moving from and to neighborhoods with fast-food access (average 2.8 lbs [95% CI = 2.5, 3.2]). CONCLUSIONS: Moving to higher-density neighborhoods may be associated with reductions in adult weight gain.

Differential associations of the built environment on weight gain by sex and race/ethnicity but not age.

OBJECTIVE: To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults. METHODS: Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18-64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values. RESULTS: Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (-0.49 kg, 95% CI: -0.68, -0.30) and females (-0.17 kg, 95% CI: -0.33, -0.01) (P-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (-0.47 kg, 95% CI: -0.61, -0.32), NH Blacks (-0.86 kg, 95% CI: -1.37, -0.36), Hispanics (0.10 kg, 95% CI: -0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (P-value for interaction <0.001). These findings were consistent for other BE measures. CONCLUSION: The relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.

Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain.

OBJECTIVE: To determine whether selected features of the built environment can predict weight gain in a large longitudinal cohort of adults. METHODS: Weight trajectories over a 5-year period were obtained from electronic health records for 115,260 insured patients aged 18-64 years in the Kaiser Permanente Washington health care system. Home addresses were geocoded using ArcGIS. Built environment variables were population, residential unit, and road intersection densities captured using Euclidean-based SmartMaps at 800-m buffers. Counts of area supermarkets and fast food restaurants were obtained using network-based SmartMaps at 1600, and 5000-m buffers. Property values were a measure of socioeconomic status. Linear mixed effects models tested whether built environment variables at baseline were associated with long-term weight gain, adjusting for sex, age, race/ethnicity, Medicaid insurance, body weight, and residential property values. RESULTS: Built environment variables at baseline were associated with differences in baseline obesity prevalence and body mass index but had limited impact on weight trajectories. Mean weight gain for the full cohort was 0.06 kg at 1 year (95% CI: 0.03, 0.10); 0.64 kg at 3 years (95% CI: 0.59, 0.68), and 0.95 kg at 5 years (95% CI: 0.90, 1.00). In adjusted regression models, the top tertile of density metrics and frequency counts were associated with lower weight gain at 5-years follow-up compared to the bottom tertiles, though the mean differences in weight change for each follow-up year (1, 3, and 5) did not exceed 0.5 kg. CONCLUSIONS: Built environment variables that were associated with higher obesity prevalence at baseline had limited independent obesogenic power with respect to weight gain over time. Residential unit density had the strongest negative association with weight gain. Future work on the influence of built environment variables on health should also examine social context, including residential segregation and residential mobility.

Smoking-Related Stigma: A Public Health Tool or a Damaging Force?

BACKGROUND: Tobacco control policies and other denormalization strategies may reduce tobacco use by stigmatizing smoking. This raises an important question: Does perceived smoking-related stigma contribute to a smoker's decision to quit? The aim of this study was to evaluate if perceived smoking-related stigma was associated with smoking cessation outcomes among smokers in Mexico and Uruguay. METHODS: We analyzed prospective data from a panel of adult smokers who participated in the 2008-2012 administrations of the International Tobacco Control Policy Evaluation Surveys in Mexico and Uruguay. We defined two analytic samples of participants: the quit behavior sample (n = 3896 Mexico; n = 1525 Uruguay) and the relapse sample (n = 596 Mexico). Generalized estimating equations were used to evaluate if different aspects of perceived stigma (ie, discomfort, marginalization, and negative stereotype) at baseline were associated with smoking cessation outcomes at follow-up. RESULTS: We found that perceived smoking-related stigma was associated with a higher likelihood of making a quit attempt in Uruguay but with a lower likelihood of successful quitting in Mexico. CONCLUSIONS: This study suggests that perceived smoking-related stigma may be associated with more quit attempts, but less successful quitting among smokers. It is possible that once stigma is internalized by smokers, it may function as a damaging force. Future studies should evaluate the influence of internalized stigma on smoking behavior. IMPLICATIONS: Although perceived smoking-related stigma may prompt smokers to quit smoking, smoking stigma may also serve as a damaging force for some individuals, making quitting more difficult. This study found that perceived smoking-related stigma was associated with a higher likelihood of making a quit attempt in Uruguay but with a lower likelihood of successful quitting in Mexico.

Disentangling the roles of point-of-sale ban, tobacco retailer density and proximity on cessation and relapse among a cohort of smokers: findings from ITC Canada Survey.

OBJECTIVE: To examine how point-of-sale (POS) display bans, tobacco retailer density and tobacco retailer proximity were associated with smoking cessation and relapse in a cohort of smokers in Canada, where provincial POS bans were implemented differentially over time from 2004 to 2010. METHODS: Data from the 2005 to 2011 administrations of the International Tobacco Control (ITC) Canada Survey, a nationally representative cohort of adult smokers, were linked via residential geocoding with tobacco retailer data to derive for each smoker a measure of retailer density and proximity. An indicator variable identified whether the smoker's province banned POS displays at the time of the interview. Outcomes included cessation for at least 1 month at follow-up among smokers from the previous wave and relapse at follow-up among smokers who had quit at the previous wave. Logistic generalised estimating equation models were used to determine the relationship between living in a province with a POS display ban, tobacco retailer density and tobacco retailer proximity with cessation (n=4388) and relapse (n=866). RESULTS: Provincial POS display bans were not associated with cessation. In adjusted models, POS display bans were associated with lower odds of relapse which strengthened after adjusting for retailer density and proximity, although results were not statistically significant (OR 0.66, 95% CI 0.41 to 1.07, p=0.089). Neither tobacco retailer density nor proximity was associated with cessation or relapse. CONCLUSIONS: Banning POS retail displays shows promise as an additional tool to prevent relapse, although these results need to be confirmed in larger longitudinal studies.

E-cigarette use and its association with smoking reduction and cessation intentions among Mexican smokers.

OBJECTIVE: Evaluate the patterns of e-cigarette use andtheir association with smoking behavior. MATERIALS AND METHODS: We analyzed data from a population-based representative cohort of adult smokers who participated in the International Tobacco Control Policy Evaluation Surveys in Mexico. The analytic sample (n=760) was restricted to participants who were followed up from wave 6 (2012) to wave 7 (2014-2015). GEE models regressed e-cigarette use at follow-up and changes in cigarettes per day (CPD) between waves, on baseline sociodemographic variables, smoking status (daily, non-daily, quit), e-cigarette trial, and quit intentions. RESULTS: Smokers who were younger, had a higher income, and had tried e-cigarettes at baseline were more likely to be current e-cigarette users at follow-up. Ecigarette use at follow-up was not associated with a change in CPD over time. CONCLUSIONS: E-cigarette use does not appear to have promoted smoking cessation or reduction in this sample of Mexican smokers.

OBJETIVO: Evaluar los patrones de uso de cigarros electrónicos y su asociación con el uso de tabaco. MATERIAL Y MÉTODOS: Se usaron datos de una cohorte de fumadores adultos mexicanos de la Encuesta Internacional de Evaluación de Políticas del Control del Tabaco (n=760) con seguimiento de la ronda 6 (2012) a la 7 (2014-2015). Se usaron modelos GEE para evaluar el uso de cigarros electrónicos y el cambio en el número de cigarros por día (CPD) en variables de la basal sobre características sociodemográficas, consumo del cigarro (diario, no diario, haber dejado de fumar), prueba de cigarros electrónicos e intención de dejar de fumar. RESULTADOS: umadores jóvenes, con ingresos altos y que probaron cigarros electrónicos en la medición basal tenían más posibilidad de usar cigarros electrónicos. No se encontró relación entre uso de cigarros electrónicos y cambio en CPD. CONCLUSIONES: Los cigarros electrónicos no parecen promover el abandono ni la reducción del consumo de cigarros en esta muestra de fumadores mexicanos.

Patterns of awareness and use of electronic cigarettes in Mexico, a middle-income country that bans them: Results from a 2016 national survey.

Among high-income countries, awareness and use of e-cigarettes is lower in countries with more restrictive e-cigarette regulations. Little is known about e-cigarettes in middle-income countries, many of which like Mexico, ban e-cigarette sales and marketing. The current study determined the national-level prevalence and correlates of e-cigarette awareness and consumption in Mexico. Data were analyzed from a 2016 nationally representative survey. Prevalence of e-cigarette awareness, trial and current use was estimated separately for adolescents (n = 12,436), adult nonsmokers (n = 36,966), and adult smokers (n = 7347). For each group, crude and adjusted logistic models regressed e-cigarette outcomes on sociodemographic and smoking-related variables, adjusting for the sampling design and weights. Prevalence varied across subgroups for e-cigarette awareness (adolescents = 45.3%; adult nonsmokers = 33.9%; adult smokers = 54.3%), e-cigarette trial (adolescents = 6.5%; adult nonsmokers = 2.6%; adult smokers = 18.2%) and current use of electronic cigarettes (adolescents = 1.1%; adult nonsmokers = 0.3%; adult smokers = 4.5%). Among adolescents and adults, current smoking and higher smoking frequency were significantly associated with e-cigarette awareness, trial and use. Among adolescents and nonsmokers, awareness, trial and use of e-cigarette were significantly lower among females than males. Among adult smokers, however, females were more likely to use e-cigarettes than males (AOR = 1.80; 95% CI = 1.08-3.02). Higher education and greater wealth increased the likelihood of trial of e-cigarettes among adult nonsmokers and smokers. Despite the ban on the distribution and sales of e-cigarettes, a substantial number of Mexicans, have access to e-cigarettes. Decision makers and advocates should consider e-cigarette regulations as recommended by the WHO, at the same time Mexico must invest in the infrastructure needed to enforce these regulations.

Screening for Obesity and Intervention for Weight Management in Children and Adolescents: Evidence Report and Systematic Review for the US Preventive Services Task Force.

IMPORTANCE: Obesity is common in children and adolescents in the United States, is associated with negative health effects, and increases the likelihood of obesity in adulthood. OBJECTIVE: To systematically review the benefits and harms of screening and treatment for obesity and overweight in children and adolescents to inform the US Preventive Services Task Force. DATA SOURCES: MEDLINE, PubMed, PsycINFO, Cochrane Collaboration Registry of Controlled Trials, and the Education Resources Information Center through January 22, 2016; references of relevant publications; government websites. Surveillance continued through December 5, 2016. STUDY SELECTION: English-language trials of benefits or harms of screening or treatment (behavior-based, orlistat, metformin) for overweight or obesity in children aged 2 through 18 years, conducted in or recruited from health care settings. DATA EXTRACTION AND SYNTHESIS: Two investigators independently reviewed abstracts and full-text articles, then extracted data from fair- and good-quality trials. Random-effects meta-analysis was used to estimate the benefits of lifestyle-based programs and metformin. MAIN OUTCOMES AND MEASURES: Weight or excess weight (eg, body mass index [BMI]; BMI z score, measuring the number of standard deviations from the median BMI for age and sex), cardiometabolic outcomes, quality of life, other health outcomes, harms. RESULTS: There was no direct evidence on the benefits or harms of screening children and adolescents for excess weight. Among 42 trials of lifestyle-based interventions to reduce excess weight (N = 6956), those with an estimated 26 hours or more of contact consistently demonstrated mean reductions in excess weight compared with usual care or other control groups after 6 to 12 months, with no evidence of causing harm. Generally, intervention groups showed absolute reductions in BMI z score of 0.20 or more and maintained their baseline weight within a mean of approximately 5 lb, while control groups showed small increases or no change in BMI z score, typically gaining a mean of 5 to 17 lb. Only 3 of 26 interventions with fewer contact hours showed a benefit in weight reduction. Use of metformin (8 studies, n = 616) and orlistat (3 studies, n = 779) were associated with greater BMI reductions compared with placebo: -0.86 (95% CI, -1.44 to -0.29; 6 studies; I2 = 0%) for metformin and -0.50 to -0.94 for orlistat. Groups receiving lifestyle-based interventions offering 52 or more hours of contact showed greater improvements in blood pressure than control groups: -6.4 mm Hg (95% CI, -8.6 to -4.2; 6 studies; I2 = 51%) for systolic blood pressure and -4.0 mm Hg (95% CI, -5.6 to -2.5; 6 studies; I2 = 17%) for diastolic blood pressure. There were mixed findings for insulin or glucose measures and no benefit for lipids. Medications showed small or no benefit for cardiometabolic outcomes, including fasting glucose level. Nonserious harms were common with medication use, although discontinuation due to adverse effects was usually less than 5%. CONCLUSIONS AND RELEVANCE: Lifestyle-based weight loss interventions with 26 or more hours of intervention contact are likely to help reduce excess weight in children and adolescents. The clinical significance of the small benefit of medication use is unclear.

Lipid Screening in Childhood and Adolescence for Detection of Multifactorial Dyslipidemia: Evidence Report and Systematic Review for the US Preventive Services Task Force.

IMPORTANCE: Multifactorial dyslipidemia, characterized by elevated total cholesterol (TC) or low-density lipoprotein cholesterol (LDL-C), is associated with dyslipidemia and markers of atherosclerosis in young adulthood. Screening for dyslipidemia in childhood could delay or reduce cardiovascular events in adulthood. OBJECTIVE: To systematically review the evidence on benefits and harms of screening adolescents and children for multifactorial dyslipidemia for the US Preventive Services Task Force (USPSTF). DATA SOURCES: MEDLINE, Cochrane Central Register of Controlled Trials, and PubMed were searched for studies published between January 1, 2005, and June 2, 2015; studies included in a previous USPSTF evidence report and reference lists of relevant studies and ongoing trials were also searched. Surveillance was conducted through April 9, 2016. STUDY SELECTION: Fair- and good-quality studies in English with participants 0 to 20 years of age. DATA EXTRACTION AND SYNTHESIS: Two investigators independently reviewed abstracts and full-text articles and extracted data into evidence tables. Results were qualitatively summarized. MAIN OUTCOMES AND MEASURES: Outcomes included dyslipidemia (TC≥200 mg/dL or LDL-C≥130 mg/dL) and atherosclerosis in childhood; myocardial infarction and ischemic stroke in adulthood; diagnostic yield (number of confirmed cases per children screened); and harms of screening or treatment. Simulated diagnostic yield was calculated as initial screening yield × positive predictive value from a study with confirmatory testing. RESULTS: Screening of children for multifactorial dyslipidemia has not been evaluated in randomized clinical trials. Based on 1 observational study (n = 6500) and nationally representative prevalence estimates, the simulated diagnostic yield of screening for elevated TC varies between 4.8% and 12.3% (higher in obese children [12.3%] and at the ages when TC naturally peaks-7.2% at age 9-11 years and 7.2% at age 16-19 years). One good-quality randomized clinical trial (n = 663) found a modest effect of intensive dietary counseling for a low-fat, low-cholesterol diet on lipid levels at 1 year in children aged 8 to 10 years with mild to moderate dyslipidemia; mean between-group difference in TC change from baseline was -6.1 mg/dL (95% CI, -9.1 to -3.2 mg/dL; P < .001). Between-group differences dissipated by year 5. The intervention did not adversely affect nutritional status, growth, or development over the 18-year study period. One observational study (n = 9245) found that TC concentration at age 12 to 39 years was not associated with death before age 55 years. CONCLUSIONS AND RELEVANCE: The diagnostic yield of lipid screening varies by age and body mass index. No direct evidence was identified for benefits or harms of childhood screening or treatment on outcomes in adulthood. Intensive dietary interventions may be safe, with modest short-term benefit of uncertain clinical significance.

Lipid Screening in Childhood and Adolescence for Detection of Familial Hypercholesterolemia: Evidence Report and Systematic Review for the US Preventive Services Task Force.

IMPORTANCE: Familial hypercholesterolemia (FH) is characterized by elevated cholesterol concentrations early in life. Untreated FH is associated with premature cardiovascular disease in adulthood. OBJECTIVE: To systematically review the evidence on benefits and harms of screening adolescents and children for heterozygous FH for the US Preventive Services Task Force (USPSTF). DATA SOURCES: MEDLINE, the Cochrane Central Register of Controlled Trials, and PubMed were searched for studies published between January 1, 2005, and June 2, 2015; studies included in a previous USPSTF report were also searched. Surveillance was conducted through April 8, 2016. STUDY SELECTION: Fair- and good-quality studies in English with participants 0 to 20 years of age. DATA EXTRACTION AND SYNTHESIS: Two investigators independently reviewed abstracts and full-text articles and extracted data into evidence tables. Results were qualitatively summarized. MAIN OUTCOMES AND MEASURES: Myocardial infarction and ischemic stroke in adulthood; lipid concentrations and atherosclerosis in childhood; diagnostic yield of screening; any harm of screening or treatment. RESULTS: Based on 2 studies (n = 83,241), the diagnostic yield of universal screening for FH in childhood is 1.3 to 4.8 cases per 1000 screened. There was no eligible evidence on the benefits or harms of FH screening in childhood. Eight placebo trials of statin drugs (n = 1071, 6-104 weeks) found low-density lipoprotein cholesterol (LDL-C) decreases of 20% to 40%; 1 trial (n = 214) showed a 2.01% decrease in carotid intima-media thickness with statins, compared with 1.02% with placebo (P = .02). Three placebo trials of bile acid-sequestering agents (n = 332, 8-52 weeks) showed LDL-C reductions of 10% to 20%. In 1 trial (n = 248), ezetimibe with simvastatin resulted in greater LDL-C reductions compared with simvastatin alone at 33 weeks (mean, -54.0% [SD, 1.4%] vs -38.1% [SD, 1.4%]). One trial of ezetimibe monotherapy (n = 138) showed mean LDL-C decreases of 28% (95% CI, -31% to -25%) from baseline and negligible change with placebo at 12 weeks. Eighteen studies found statins generally well tolerated. One observational study found lower, but still normal, dehydroepiandrosterone sulfate concentrations in statin-treated males with FH at 10-year follow-up. Bile acid-sequestering agents were commonly associated with adverse gastrointestinal symptoms and poor palatability. There was no eligible evidence on the effect of FH treatment on myocardial infarction or stroke in adulthood. CONCLUSIONS AND RELEVANCE: Screening can detect FH in children, and lipid-lowering treatment in childhood can reduce lipid concentrations in the short term, with little evidence of harm. There is no evidence for the effect of screening for FH in childhood on lipid concentrations or cardiovascular outcomes in adulthood, or on the long-term benefits or harms of beginning lipid-lowering treatment in childhood.

Smoking behavior among Asian Americans during the initial phase of the COVID-19 pandemic: The influence of pandemic stressors and depression.

INTRODUCTION: Heightened levels of distress among Asian Americans during the initial phases of the pandemic may be associated with current smoking behavior. In this study, we examine differences in current smoking among Asian Americans from two different ethnic backgrounds before and during the COVID-19 pandemic. METHODS: We analyzed cross-sectional survey data (n=202) from Chinese and South Asian adults in Chicago, collected between February and May 2020. We conducted logistic regression models to estimate the relationship between exposure to the COVID-19 pandemic and current smoking. We tested whether the association varied by Asian American ethnic group, unemployment, racial discrimination, and depression symptoms. RESULTS: We found that current smoking increased from 28% to 48% among Asian Americans (i.e. Chinese and South Asians) during the pandemic. We found a statistically significant interaction between the COVID-19 period indicator variable and current smoking by Asian American ethnic groups (p=0.014), such that current smoking was lower for Chinese compared to South Asians before COVID-19, but was comparable for both groups during the pandemic. We also found a statistically significant interaction between the period indicator variable and current smoking by racial discrimination (p=0.047) and depression symptoms (p=0.02). Results from these interactions suggest that Asian Americans who experienced racial discrimination and depression during the pandemic may be more likely to be current smokers compared to their pre-pandemic counterparts. CONCLUSIONS: The findings of the study highlight the need for culturally tailored smoking cessation interventions for Asian American communities that address pandemic-related stressors such as discrimination that may trigger cigarette use.

Sustaining connections: feasibility and impact of long-term virtual patient engagement.

BACKGROUND: Virtual patient engagement has become more common in recent years. Emerging research suggests virtual engagement can increase accessibility for patients managing long-term health conditions and those living in larger geographic areas, but it can also be challenging to establish relationships and maintain engagement over time. Little is known about virtual engagement lasting more than two years, nor about the specific contributions of patients to virtual engagement projects. Here we describe a project where virtual engagement was sustained over a long period of time (3.5 years), measure patients' contributions to the work, and describe the facilitators and challenges of the project using the Valuing All Voices (VAV) patient engagement framework. METHODS: Five researchers recruited four patient partners living with persistent pain to work together virtually on a project to improve care for others with long-term pain. Researchers documented engagement activities and patient partner contributions and categorized them using Carman et al.'s 3 types of engagement. They also collected data via semi-structured group interviews with patient partners about the facilitators and challenges of the project using the VAV framework. RESULTS: In 3.5 years, patient partners contributed 487 h to the project, averaging 3.0 h per month, and participated in 40 meetings. They contributed to 17 products for patients, health care teams, and researchers. Most products (12 of 17) were created using the more in-depth engagement approaches of involvement or partnership and shared leadership. The group identified facilitators of the project across the five VAV domains of relationship-building, trust, understanding & acceptance, education & communication, and self-awareness, as well as some specific challenges such as keeping track of products across virtual platforms and managing the high volume of project information. CONCLUSIONS: Long-term virtual patient engagement is feasible and can use more in-depth engagement approaches. Additionally, it can result in substantial contributions from patients in terms of time, effort, and products. These findings can inform future long-term virtual patient engagement efforts and provide insight into how researchers can structure their activities to encourage and maintain deep engagement over time.

BACKGROUND: Virtual patient engagement has become more common in recent years. Virtual engagement can make it easier for people with long-term health conditions and from larger geographic areas to be involved, but it can also be challenging to establish relationships and maintain engagement over time. There are not many examples of virtual engagement projects lasting more than two years, and many projects do not describe patients' specific contributions to the work. Here we describe a 3.5-year project where we measured patients' contributions and described the facilitators and challenges of the project using the Valuing All Voices (VAV) patient engagement framework. METHODS: Five researchers worked with four patient partners living with persistent pain to improve health care for others with long-term pain. We tracked how we worked together and how patient partners contributed to the project. We categorized the products we created together using three types of engagement that range from less to more in-depth. Researchers also interviewed patient partners about the facilitators and challenges of working together virtually. RESULTS: In 3.5 years, patient partners contributed 487 h to the project, averaging 3.0 h per month, and participated in 40 meetings. They contributed to 17 different products. Twelve of the products used more in-depth engagement approaches. The group identified facilitators of the project across the five VAV domains, as well as some specific challenges. CONCLUSIONS: We found that long-term virtual patient engagement is feasible, can use in-depth engagement strategies, and can result in important contributions from patients in terms of time, effort, and products.

Mixed methods approach to understanding COVID-19 vaccine hesitancy among immigrants in the Chicago.

BACKGROUND: COVID-19 vaccine hesitancy has been particularly high among immigrant populations, whose experience is shaped by a history of racism and discriminations, and distrust of the healthcare system. In this study we draw from the Theory of Planned Behavior to examine COVID-19 vaccine hesitancy among immigrants in Chicago. METHODS: A mixed-methods approach comprising of both focus groups and a health survey was conducted from February to August 2022. Five focus groups were held (N = 35) among Black, Asian and Arab/Palestine participants to understand attitudes and beliefs around the COVID-19 vaccine. Focus groups were analyzed using a modified template approach to text analysis. Based on these findings and themes, we developed a survey that was conducted among 413 immigrants from the mentioned communities. We used hierarchical ordinal regression analyses to examine the relationship between COVID-19 vaccine hesitancy and vaccination status. RESULTS: Qualitative analysis suggest that the major factors influencing COVID-19 vaccine hesitancy included fear of adverse reactions, misinformation around COVID-19 and the vaccine, negative social norms around vaccination, and external pressure to get vaccinated. From our quantitative analysis we found that 24% of participants were unvaccinated, 5% were partially vaccinated, 32.3% were vaccinated but not boosted, and 39% were vaccinated and boosted for COVID-19. Hierarchical regression models suggest that immigrants who hold negative attitudes and social norms around the COVID-19 vaccine are less likely to vaccinate. CONCLUSIONS: Understanding vaccine hesitancy among immigrants allows for the creation of culturally and linguistically tailored education that can be utilized to increase vaccine confidence and uptake.

Neighborhood built and food environment in relation to glycemic control in people with type 2 diabetes in the moving to health study.

OBJECTIVE: To examine whether built environment and food metrics are associated with glycemic control in people with type 2 diabetes. RESEARCH DESIGN AND METHODS: We included 14,985 patients with type 2 diabetes using electronic health records from Kaiser Permanente Washington. Patient addresses were geocoded with ArcGIS using King County and Esri reference data. Built environment exposures estimated from geocoded locations included residential unit density, transit threshold residential unit density, park access, and having supermarkets and fast food restaurants within 1600-m Euclidean buffers. Linear mixed effects models compared mean changes of HbA1c from baseline at 1, 3 (primary) and 5 years by each built environment variable. RESULTS: Patients (mean age = 59.4 SD = 13.2, 49.5% female, 16.6% Asian, 9.8% Black, 5.5% Latino/Hispanic, 57.1% White, 20% insulin dependent, mean BMI = 32.7±7.7) had an average of 6 HbA1c measures available. Participants in the 1st tertile of residential density (lowest) had a greater decline in HbA1c (-0.42, -0.43, and -0.44 in years 1, 3, and 5 respectively) than those in the 3rd tertile (HbA1c = -0.37 at 1- and 3-years and -0.36 at 5-years; all p-values <0.05). Having any supermarkets within 1600 m of home was associated with a greater decrease in HbA1c at 1-year and 3-years compared to having none (all p-values <0.05). CONCLUSIONS: Lower residential density and better proximity to supermarkets may benefit HbA1c control in people with people with type 2 diabetes. However, effects were small and indicate limited clinical significance.

Residential Density Is Associated With BMI Trajectories in Children and Adolescents: Findings From the Moving to Health Study.

Introduction: This study investigates the associations between built environment features and 3-year BMI trajectories in children and adolescents. Methods: This retrospective cohort study utilized electronic health records of individuals aged 5-18 years living in King County, Washington, from 2005 to 2017. Built environment features such as residential density; counts of supermarkets, fast-food restaurants, and parks; and park area were measured using SmartMaps at 1,600-meter buffers. Linear mixed-effects models performed in 2022 tested whether built environment variables at baseline were associated with BMI change within age cohorts (5, 9, and 13 years), adjusting for sex, age, race/ethnicity, Medicaid, BMI, and residential property values (SES measure). Results: At 3-year follow-up, higher residential density was associated with lower BMI increase for girls across all age cohorts and for boys in age cohorts of 5 and 13 years but not for the age cohort of 9 years. Presence of fast food was associated with higher BMI increase for boys in the age cohort of 5 years and for girls in the age cohort of 9 years. There were no significant associations between BMI change and counts of parks, and park area was only significantly associated with BMI change among boys in the age cohort of 5 years. Conclusions: Higher residential density was associated with lower BMI increase in children and adolescents. The effect was small but may accumulate over the life course. Built environment factors have limited independent impact on 3-year BMI trajectories in children and adolescents.

A randomized clinical trial comparing delivery of behavioral pediatric obesity treatment using standard and enhanced motivational approaches.

OBJECTIVE: To examine the efficacy of an adjunct motivational and autonomy-enhancing intervention (self-directed) for behavioral family-based pediatric obesity relative to the standard prescription of uniform behavioral skills use and interventionist goal assignment (prescribed). METHODS: In this randomized clinical trial, 72 overweight/obese children and their parents/caregivers were assigned to either self-directed or prescribed intervention for 20 weeks, with approaches diverging after week 5. Anthropometric measurements from child and participating parent at baseline, posttreatment, and 3-month, 6-month, 1-year, and 2-year follow-ups were evaluated for change (n = 59 in follow-up analyses). RESULTS: The approaches demonstrated similar child body mass index (BMI) z-score and parent BMI change from baseline to posttreatment and throughout follow-up, with child and parent weight status lower than baseline at 2 years after treatment cessation. CONCLUSIONS: An adjunct motivational and autonomy-enhancing approach to behavioral family-based pediatric obesity treatment is a viable alternative to the standard intervention approach.

Understanding family motivations and barriers to participation in community-based programs for overweight youth: one program model does not fit all.

CONTEXT: Successful obesity intervention efforts depend on effective recruitment and retention, an ongoing challenge for community-based programs. OBJECTIVE: We sought to provide insights into the most salient factors affecting family enrollment and retention in community-based programs for overweight youth and their families. We especially sought to understand potentially modifiable program factors affecting participation. DESIGN: : We conducted semistructured, in-depth, face-to-face interviews with parents of overweight children within 1 year of referral to a public health grant-funded community-based healthy lifestyle promotion program. Purposeful sampling was used to select participants across program sites, by level of program completion, and child age and sex. Transcribed interviews were coded independently by 2 staff with a structured codebook and then analyzed by themes through an iterative process using Atlas.ti. The Integrative Model of Behavior served as an orienting theoretical framework. SETTING: Community-based child obesity intervention program in King County, Washington. PARTICIPANTS: Twenty-three parents from diverse socioeconomic backgrounds were interviewed, of which 10 completed the program, 9 did not complete, and 4 did not enroll. MAIN OUTCOME MEASURE(S): Parent-reported factors related to enrollment and retention. RESULTS: Key parent reasons for program enrollment included: (a) addressing both eating and activity, (b) concern about child's weight, (c) seeking help outside the family, and (d) structured parent-child time. Parents perceived a lack of child motivation to enroll; some youth initially opposed attending, which was overcome through positive program experience. All families described barriers to attending, and some identified specific strategies or skills they used to overcome barriers. No single program design emerged to address every family's needs. Instead, using the themes of accessibility and accountability, we present parent- recommended design options. CONCLUSIONS: To meet different families' needs, public health and health care agencies offering youth health promotion programs should consider providing program options that vary intensity level and weight loss emphasis.

Comparative analysis of codon usage of mitochondrial genomes provides evolutionary insights into reptiles.

Current available information on reptile genomes provides great potential for the study of unique adaptations from a genomic perspective. We compared differences in base composition and codon usage patterns across 400 reptile mitochondrial genomes assessing AT and GC skew, GC frequency, codon usage, effective number of codons, and codon adaptation index. We identified poor GC content in reptile mitochondrial genomes, with a predominant bias toward Adenine. We determined a compositional asymmetry between different taxonomic groups, which are inversely correlated to the rates of rearrangements in the mitogenome. We found that the most common codons in reptile mitochondrion are CTA (L), ATA (M) and ACA (T), which relates with have been found in birds, meaning that these patterns are shared across sauropsid mitogenomes. Codon usage bias clustering and effective codon number analyses revelated compositional asymmetry based on RSCU as well as that reptile mitogenomes are translationally efficient and are under selection pressure. Codon adaptation index revealed highest values in turtles indicating higher translational efficiency of mitochondrial genes among all reptiles, which could be related to metabolic adaptations (i.e., tolerance to anoxic conditions). This was also seen in other groups such as crocodiles (i.e., acclimation to cold) and snakes (phylogenetic origin of toxin-secreting oral glands and the evolutionary redesign of cytochrome c oxidase complex genes). We discuss our findings in the context of potential adaptations and evolutionary implications that these genomic differences provide to reptiles.

Comparative analysis of mitochondrial genomes reveals family-specific architectures and molecular features in scorpions (Arthropoda: Arachnida: Scorpiones).

Scorpions are a group of arachnids with great evolutionary success that comprise more than 2,000 described species. Mitochondrial genomes have been little studied in this clade. We describe and compare different scorpion mitochondrial genomes and analyze their architecture and molecular characteristics. We assembled eight new scorpion mitochondrial genomes from transcriptomic datasets, annotated them, predicted the secondary structures of tRNAs, and compared the nucleotide composition, codon usage, and relative synonymous codon usage of 16 complete scorpion mitochondrial genomes. Lastly, we provided a phylogeny based on all mitochondrial protein coding genes. We characterized the mitogenomes in detail and reported particularities such as dissimilar synteny in the family Buthidae compared to other scorpions, unusual tRNA secondary structures, and unconventional start and stop codons in all scorpions. Our comparative analysis revealed that scorpion mitochondrial genomes exhibit different architectures and features depending on taxonomic identity. We highlight the parvorder Buthida, particularly the family Buthidae, as it invariably exhibited different mitogenome features such as synteny, codon usage, and AT-skew compared to the parvorder Iurida that included the rest of the scorpion families we analyzed in this study. Our results provide a better understanding of the evolution of mitogenome features and phylogenetic relationships in scorpions.