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Objectives/hypothesis: To evaluate whether language of choice affects compliance with speech therapy for voice disorders., Study Design: Retrospective chart review., Methods: A retrospective study was performed at Kaiser Permanente Northern California to compare compliance with referrals to speech therapy for voice disorders between English- and non-English-speaking patients. Patients referred from January 2012 through December 2017 were included. Logistic regression models were used to calculate the adjusted odds ratios (aOR) and to determine social and demographic factors affecting compliance., Results: Of 7,333 patients referred to speech therapy for a voice disorder, 7,171 were identified as English speaking and 162 as non-English speaking. The two cohorts were similar in terms of gender and proportion over 65 years of age, although non-English-speaking individuals were more likely to be Hispanic or Asian than English speakers, who were more likely to be White or African American. Overall compliance was lower among non-English-speaking patients than English speakers (63% vs 74%) (P = .0011). Logistic regression showed that the need for an interpreter was significantly associated with higher noncompliance (aOR 1.56, 95% CI 1.11-2.18), as was age less than 65 and income less than the study aggregate median income. Being multiracial or having a voice disorder of neurologic origin was associated with better compliance., Conclusion: This study demonstrates significant noncompliance with speech therapy for a variety of voice disorders. This problem is exacerbated for patients who do not speak English and who are younger, of lower income, or are referred for functional voice disorders. In-person interpreters or multilingual speech therapists may help to improve compliance., Level of Evidence: IV Laryngoscope, 131:E2298-E2302, 2021., (© 2021 The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: Young adults frequently report social smoking. This study examined the relationship between different social smoking definitions and the co-use of cigarettes and alcohol, tobacco-related attitudes, and quitting efforts., Method: Cross-sectional data were collected at bars using randomized time location sampling among young adults aged 21-26 in San Diego, California from 2010 to 2011 (73% response rate). Multivariable logistic regression examined if current smoking and quit attempts were associated with tobacco-related attitudes, and whether social smoking self-identification or behavior was associated with cigarette-and-alcohol co-use, tobacco-related attitudes, quit attempts, or quitline use., Results: Among 537 current smokers, 80% self-identified and 49% behaved as social smokers. Social smoking self-identification was positively associated with cigarette-and-alcohol co-use, and quit attempts. Social smoking behavior was negatively associated with tobacco marketing receptivity, quit attempts, and quitline use. Tobacco-related attitudes were associated with smoking but did not generally differ by social smoking status., Conclusion: Identification and behavior as a social smoker have opposing associations with co-use of cigarettes and alcohol and quit attempts. Tobacco cessation programs for self-identified social smokers should address co-use. Interventions denormalizing the tobacco industry or emphasizing the health effects of temporary smoking and secondhand smoke may address smoking among young adult bar patrons regardless of social smoking status., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Objectives: We examined cigarette smoking and quit attempts in the context of alcohol use and bar attendance among young adult bar patrons with different smoking patterns. Methods. We used randomized time location sampling to collect data among adult bar patrons aged 21 to 26 years in San Diego, California (n = 1235; response rate = 73%). We used multinomial and multivariate logistic regression models to analyze the association between smoking and quit attempts and both drinking and binge drinking among occasional, regular, very light, and heavier smokers, controlling for age, gender, race/ethnicity, and education., Results: Young adult bar patrons reported high rates of smoking and co-use of cigarettes and alcohol. Binge drinking predicted smoking status, especially occasional and very light smoking. All types of smokers reported alcohol use, and bar attendance made it harder to quit. Alcohol use was negatively associated with quit attempts for very light smokers, but positively associated with quitting among heavier smokers., Conclusions: Smoking and co-use of cigarettes and alcohol are common among young adult bar patrons, but there are important differences by smoking patterns. Tobacco interventions for young adults should prioritize bars and address alcohol use.