Associations of physician burnout with organizational electronic health record support and after-hours charting.

In 2017, 43.9% of US physicians reported symptoms of burnout. Poor electronic health record (EHR) usability and time-consuming data entry contribute to burnout. However, less is known about how modifiable dimensions of EHR use relate to burnout and how these associations vary by medical specialty. Using the KLAS Arch Collaborative's large-scale nationwide physician (MD/DO) data, we used ordinal logistic regression to analyze associations between self-reported burnout and after-hours charting and organizational EHR support. We examined how these relationships differ by medical specialty, adjusting for confounders. Physicians reporting ≤ 5 hours weekly of after-hours charting were twice as likely to report lower burnout scores compared to those charting ≥6 hours (aOR: 2.43, 95% CI: 2.30, 2.57). Physicians who agree that their organization has done a great job with EHR implementation, training, and support (aOR: 2.14, 95% CI: 2.01, 2.28) were also twice as likely to report lower scores on the burnout survey question compared to those who disagree. Efforts to reduce after-hours charting and improve organizational EHR support could help address physician burnout.

Associations of home and workplace vaping restrictions with e-cigarette use among U.S. adults.

The current study examined home and workplace vaping restrictions and their associations with e-cigarette use, frequency of e-cigarette use, and exposure to environmental vape aerosol among adults in the U.S. We used data from the 2018 Tobacco Use Supplement to the Current Population Survey to determine these associations. Analysis was done with a multivariable logistic and zero-inflated Poisson regression. Of 46,751 participants, 2.1% currently used e-cigarettes and 89% reported restricted home vaping. Of 19,091 working participants, 83% had worksite vaping restrictions and 6% reported environmental vapor exposure. Respondents with household vaping restrictions had lower odds of current e-cigarette use (full ban: aOR: 0.07, 95% CI: 0.05-0.09; partial ban: aOR: 0.51, 95% CI: 0.40-0.66). The expected number of days of past-month e-cigarette use for those with some household vaping restrictions was significantly fewer than for those without restrictions (full ban: IRR: 0.92, 95% CI: 0.85-0.99; partial ban, IRR: 0.89, 95% CI: 0.81-0.97). Workers with full workplace vaping restrictions had lower odds of workplace environmental vape aerosol exposure than those without a restriction (aOR: 0.21, 95% CI: 0.17-0.25). Vaping restrictions in homes were associated with lower prevalence and frequency of e-cigarette use. Those in worksites with complete vaping bans were less likely to be exposed to environmental aerosol at work. Home e-cigarette restrictions appear to have a stronger association with e-cigarette use behaviors than workplace restrictions.

Associations Between Risk Perceptions and Cigarette, E-cigarette, and Dual-Product Use Among Canadian Adolescents.

INTRODUCTION: The popularity of e-cigarettes has increased significantly in recent years. E-cigarettes are perceived as less harmful than cigarettes, and both dual-use of cigarette and e-cigarette use is common among adolescents. This study assessed cigarette and e-cigarette risk perception and associations with dual-product use among Canadian adolescents. METHODS: We used data from the 2016-2017 Canadian Student Tobacco, Alcohol, and Drugs Survey. Perceived risks of cigarette and e-cigarette use were classified into 4 categories: "high-risk perception," "high-e-cigarette-risk and low-cigarette-risk perception," "low-e-cigarette-risk and high-cigarette-risk perception," and "low-risk perception." Adjusted odds ratios (aOR) were estimated from multinomial logistic regression. RESULTS: Of the population, 92% perceived high risk from cigarettes, and 65% from e-cigarettes. Compared to students with low-risk perception, those with high-risk perception of both products had lower odds of dual-use (aOR: 0.21; 95% confidence interval [CI]: 0.15, 0.28), cigarette-only use (aOR: 0.33; 95% CI: 0.25, 0.45), and e-cigarette-only use (aOR: 0.64; 95% CI: 0.51, 0.79) relative to nonusers. Adolescents with high-e-cigarette and low-cigarette-risk perception had higher odds of e-cigarette-only use, relative to nonusers. Those with high-risk perception were more likely to be e-cigarette-only users relative to cigarette-only users. CONCLUSION: Results highlight that high perceived risk is associated with lower odds of use. However, those with a high-risk perception of both products had higher odds of e-cigarette use relative to cigarette-only users; as did those with high-e-cigarette and low-cigarette-risk perception, relative to nonusers. Future research should assess ways of communicating the risks of adolescent tobacco use.

Psychological well-being and dual-use of cigarettes and e-cigarettes among high school students in Canada.

BACKGROUND: Cigarette and e-cigarette use are prevalent among Canadian adolescents. Evidence shows psychiatric comorbidity with adolescent cigarette smoking, but little is known about psychological well-being among dual users of e-cigarettes and cigarettes. This study examined the association between dual-use status and psychological well-being among high school students. METHODS: We used the 2016-2017 Canadian Student Tobacco, Alcohol, and Drugs Survey. Scales of psychological well-being (relatedness, autonomy, competency, prosocial behavior, and social responsiveness) were derived from self-reported data. Dual-use status was categorized into non-users, cigarette-only smokers, e-cigarette-only users, and four types of dual-users. Multivariable linear regression models examined the association between dual-use and psychological well-being. RESULTS: Among the participants, 6.3% were current dual-users, 4.1% were cigarette-only smokers, 12.6% were e-cigarette-only users, and 77.0% were non-users. Compared to non-users, relatedness and social responsiveness were lower for all users. When compared to e-cigarette users, most other users had lower relatedness (high-frequency dual-users [ß=-6.05], high-frequency cigarette dual-users [ß=-2.27], high-frequency e-cigarette dual-users: [ß=-1.32], low-frequency dual-users [ß=-1.91], and cigarette-only smokers [ß=-1.66]) and social responsiveness. High-frequency dual-users had lower scores for relatedness and social responsiveness, while high-frequency cigarette dual-users had higher autonomy, compared to low-frequency dual-users. CONCLUSION: Dual-users had poorer psychological well-being, which differed among dual-user sub-groups. This study highlights an opportunity for specialized programs to promote psychological well-being and reduce tobacco product use among adolescents. LIMITATIONS: The study is based on respondent self-report, and the use of cross-sectional data precludes us from determining the temporal order between dual-use and psychological well-being.

Single cigarette purchasers among adult U.S. smokers.

Cigarette smoking remains the leading preventable cause of morbidity and mortality. The purchase of single cigarettes, known as loosies, allows for a more affordable cost than a pack of cigarettes. Many of the existing studies on loose cigarettes have used a small non-generalizable sample. This study examined the sociodemographic characteristics of loosie purchasers among adult cigarette smokers in the United States. Data from the 2006/07-2014/15 Tobacco Use Supplement to the Current Population Survey were analyzed. The sociodemographic characteristics of loosie users were examined by multivariable logistic regression. In 2014-2015, approximately 5.4% of adult smokers reported purchasing loosies compared to 3.7% in 2006-2007. Men (OR 1.22, 95% CI 1.10-1.35), non-Hispanic Blacks (OR 3.30, 95% CI 2.89-3.77), Hispanics (OR 1.97, 95% CI 1.67-2.32), and those living in a metropolitan area (OR 1.16, 95% CI 1.02-1.33) had significantly higher odds of single cigarette purchase. Single cigarette use also varied by age, marital status, employment, and geographic region. Menthol cigarette smokers had higher odds of purchasing loosies compared to non-menthol smokers. Likewise, cigarette quit intention was significantly associated with odds of buying loosies. The prevalence of single cigarette purchases among smokers appears to be lower in a national sample compared to previous estimates reported in specific populations. However, certain subpopulations were more likely to purchase a single cigarette and may contribute to persistent disparities among racial and ethnic minorities. Preventing the sale of loosies may improve the health outcomes of underserved communities, specifically those with low socioeconomic status.

Trends in Smoking Behaviors Among US Adolescent Cigarette Smokers.

INTRODUCTION: Identifying trends in smoking behaviors among youth cigarette smokers could inform youth policy and interventions. METHODS: Using 2011-2018 National Youth Tobacco Survey data, logistic/linear regressions were used to analyze trends in smoking frequency, intensity, age of first cigarette use, and electronic cigarette (e-cigarette) use frequency among current smokers. Stratified analyses were conducted among male, female, middle school, and high school students and race and ethnicity subgroups separately. RESULTS: From 2011 to 2018, there was a decrease in smoking ≥10 days (50.0% to 38.3%), ≥20 days (37.2% to 26.3%), and 30 days (26.6% to 18.2%) among current smokers. Smoking prevalence decreased among male, female, high school, non-Hispanic white, and non-Hispanic other students. Overall, light smoking (≤5 cigarettes per day [CPDs]) increased (76.6% to 82.7%), and moderate smoking (6-10 CPDs) decreased (10.7% to 8.3%). Trends in light, moderate, and heavy smoking varied by demographic groups. Age at first cigarette use increased among female (12.28 to 13.29), high school (12.91 to 13.18), and non-Hispanic other students (11.64 to 12.83) and decreased among male students (12.90 to 12.57). From 2014 to 2018, there was an increase in e-cigarette use frequency for ≥10 days (20.8% to 40.9%), ≥20 days (13.5% to 31.7%), and all 30 days (9.3% to 22%). CONCLUSIONS: From 2011 to 2018, current youth cigarette smokers smoked fewer days and fewer CPDs, and age of first cigarette use increased. However, over time, male youth smoked more heavily and started smoking earlier. E-cigarette use increased from 2014 to 2018. Differences by demographic characteristics can inform future research and interventions.

Trends in Binge and Heavy Drinking among Adults in the United States, 2011-2017.

Background: Alcohol misuse is one of the leading causes of preventable death in the United States each year. Objectives: In the present study, we examine trends in binge and heavy drinking. We used data from the 2011-2017 Behavioral Risk Factor Surveillance System. For trend analyses, we used logistic regression for heavy drinking and binge drinking variables. Joinpoint model analysis was conducted to identify where significant changes in trend occurred. Results: The trend analysis indicated that the overall prevalence of binge drinking decreased significantly from 18.3% in 2011 to 16.0% in 2014, then increased significantly to 17.0% in 2017. This trend was also found for heavy drinking, with a significant decrease from 6.6% in 2011 to 5.8% in 2014, then increased significantly to 6.2% in 2017. This trend persisted for certain subgroups; males, females, White participants, and the 35-54 age group all had a similar decrease in prevalence followed by an increase from 2014-2017. Conclusions: Overall, our results indicate a recent significant increase in both binge and heavy drinking among the general population.

Cigarette Smoking Behavior Among Menthol and Nonmenthol Adolescent Smokers.

PURPOSE: As cigarette rates have decreased, the proportion of menthol cigarette use among youth smokers has increased. Thus, it is important to monitor the menthol-associated behaviors among youth. The present study examined the associations between menthol cigarette use and smoking frequency, intention to continue smoking, and quit intention among youth. METHODS: We used data from the 2017 and 2018 National Youth Tobacco Surveys. Separate multivariable logistic regression models were used to examine the associations between menthol cigarette use and smoking frequency, intention to continue smoking, and intention to quit. RESULTS: Across both years, 1,707 youth reported past 30-day cigarette use, 50.7% of whom used menthol cigarettes. Menthol cigarette users had significantly higher odds of smoking at least 10 out of the 30 days before the survey than nonmenthol smokers (adjusted odds ratio [aOR] 1.48, 95% confidence interval [CI] 1.14-1.94). We found similar results in the stratified analysis by grade level. Menthol cigarette smokers in middle (aOR 2.36, 95% CI 1.01-5.49) and high school (aOR 1.41, 95% CI 1.09-1.82) were more likely to have smoked at least 10 out of the 30 days before the survey than nonmenthol smokers. Menthol cigarette users had higher odds of intention to continue smoking (aOR 1.54, 95% CI 1.08-2.19) than nonmenthol cigarette users. Menthol use was not significantly associated with intention to quit. CONCLUSIONS: Compared with nonmenthol cigarette use, menthol cigarette use was associated with smoking more frequently as well as the intention to continue smoking among middle school and high school students.

Trends in smoking during pregnancy by socioeconomic characteristics in the United States, 2010-2017.

BACKGROUND: Maternal smoking during pregnancy remains a public health concern in the United States (US). We examined whether the prevalence of smoking during pregnancy decreased between 2010 and 2017 and how trends differed by demographic subgroups. METHODS: We used 2010-2017 data from the National Center for Health Statistics. Rao-Scott Chi-Square tests were performed to compare characteristics between smoking and nonsmoking groups. Cochran-Armitage tests and logistic regression were used to assess overall changes in the prevalence of smoking during pregnancy over time and changes for age, race, and educational attainment subgroups. RESULTS: The prevalence of smoking during pregnancy decreased from 9.2% in 2010 to 6.9% in 2017. In 2017, the prevalence was highest among women aged 20-24 (9.9%), American Indian/Alaskan Natives (15%), and those with a high school diploma or General Educational Development (GED) (12.2%). The prevalence was lowest among women younger than 15 (1.7%), Asian/Pacific Islanders (1%), and those who had a master's degree and higher (0.3%). Prevalence did not decrease significantly over time in the 35-39 age group (4.5 to 4.4%; p = 0.08), and increased dramatically for women with less than a high school diploma from 10.2 to 11.8%; p < 0.0001. CONCLUSIONS: Smoking prevalence during pregnancy in the US is declining, but is highest among younger women (20-24), American Indian/Alaska Natives, and women with a high school diploma or GED. In addition, the prevalence has increased for women with the least education. Targeted research and tobacco control interventions could help address the specific needs of these high-risk subpopulations.

Cigarette, E-cigarette, Alcohol, and Marijuana Use by Cancer Diagnosis Status: A Longitudinal Analysis.

BACKGROUND: Cancer is the second leading cause of death in the United States. Lifestyle choices such as substance abuse can impact a survivor's health and overall quality of life. METHODS: We used longitudinal data from the Wave 1-3 Population Assessment of Tobacco and Health data to examine sociodemographic characteristics and substance use behaviors (current cigarette, e-cigarette, alcohol, and marijuana use) by cancer diagnosis status. A generalized estimating equation model was used to examine the population-averaged effects of sociodemographic factors on substance use. RESULTS: Among 1527 participants diagnosed with cancer, 14.5% used cigarettes, 3.8% used e-cigarettes, 49.1% used alcohol, and 4.2% used marijuana in the prior 30 days in Wave 1. While the prevalence of cigarette use among those with no cancer history decreased significantly between Wave 1 (21.9%) and Wave 3 (20.2%), it increased significantly among participants diagnosed with cancer from 14.5% to 16.0%. E-cigarette use decreased for both groups, whereas alcohol and marijuana use increased. Results showed that substance use among people diagnosed with cancer significantly varied by sociodemographic characteristics. Age, sex, race-ethnicity, education, income, and region of residence were significantly associated with substance use among patients diagnosed with cancer. CONCLUSION: Overall, substance use is lower among participants diagnosed with cancer than those with no cancer history. Substance use varies by sociodemographic characteristics among people diagnosed with cancer. More focus on substance use prevention among patients diagnosed with cancer could be beneficial in terms of improving the overall well-being of this population.

Trends in Opioid Misuse among Marijuana Users and Non-Users in the U.S. from 2007-2017.

Prescription-opioid misus e continues to be a significant health concern in the United States. The relationship between marijuana use and prescription-opioid misuse is not clear from the extant literature. This study examined national trends in prescription-opioid misuse among marijuana users and non-users using the 2007-2017 National Survey on Drug Use and Health. Cochran-Armitage tests were used to assess the statistical significance of changes in the yearly prevalence of prescription-opioid misuse and marijuana use. Multivariable logistic regression was used to examine the association between prescription-opioid and marijuana use adjusting for sociodemographic characteristics. From 2007 to 2017, marijuana use increased, while prescription-opioid misuse declined. Larger declines in prescription-opioid misuse were found among marijuana users than non-users. Marijuana ever-use was significantly associated with prescription-opioid misuse. Specifically, marijuana ever-users had higher odds of prescription-opioid misuse (ever-misuse [OR: 3.04; 95% CI, 2.68-3.43]; past-year misuse [OR: 3.44; 95% CI, 3.00-3.94]; and past-month misuse [OR: 4.50; 95% CI, 3.35-6.05]) compared to marijuana never-users. Similar results were found for the association of past-year and past-month marijuana use with prescription-opioid misuse. This study provides data on trends and associations about opioid misuse among marijuana users and non-users in a changing social environment of drug use in the United States. Future research should consider whether there is a causal relationship between marijuana use and prescription opioid misuse.

Maternal Employment Status and Minimum Meal Frequency in Children 6-23 Months in Tanzania.

As women in developing world settings gain access to formal work sectors, it is important to understand how such changes might influence child nutrition. The purpose of this paper is to examine the relationship between maternal employment status and minimum meal frequency (MMF) among children in Tanzania. Interviews were conducted with 5000 mothers of children ages 0⁻23 months. The questionnaire used in these interviews was developed by adopting questions from Tanzania's latest Demographic and Health Survey (2015⁻2016) where possible and creating additional questions needed for programmatic baseline measurements. MMF was used as proxy for child nutrition. Logistic regression analyses were used to identify associations between employment status and parenting practices of Tanzanian mothers and MMF of their children. After adjusting for confounders, informal maternal employment [OR = 0.58], lack of financial autonomy [OR = 0.57] and bringing the child with them when working away from home [OR = 0.59] were negatively associated with meeting MMF. Payment in cash [OR = 1.89], carrying food for the child [OR = 1.34] and leaving food at home for the child [OR = 2.52] were positively associated with meeting MMF. Informal maternal employment was found to be negatively associated with meeting MMF among Tanzanian children. However, behaviors such as bringing or leaving prepared food, fiscal autonomy and payment in cash showed significant positive associations. These findings could help direct future programs to reduce child stunting.