scholarly journals DEMOGRAPHIC AND CLINICAL CHARACTERISTICS OF ALCOHOL USE DISORDER IN PATIENTS UNDERGOING BARIATRIC SURGERY

Author(s):  
Maitane Oscoz Irurozqui ◽  
Sandra Llebot
2018 ◽  
Author(s):  
Babak Tofighi ◽  
Joshua Lee ◽  
Scott Sherman ◽  
Daniel Schatz ◽  
Omar El-Shahawy

BACKGROUND Smoking remains a major public health burden among persons with opioid and/or alcohol use disorder yet preferences for technology assisted smoking cessation strategies remain largely unknown among this population. OBJECTIVE Assess smoking patterns and preferences for adopting technology-based interventions targeting smoking among individuals with opioid and/or alcohol use disorder. METHODS A 48-item semi-structured survey was conducted among inpatient detoxification program patients eliciting demographic and clinical characteristics, smoking profile, technology use patterns, and preferences for adopting technology-based smoking cessation interventions. Multivariate logistic regression models further evaluated the association between participant demographic and clinical characteristics and technology preferences. RESULTS Participants were mostly male (91%), unemployed or dependent on public assistance (68%), and admitted for detoxification for alcohol (47%), heroin (31%), or both alcohol and heroin (22%). Past 30-day smoking was reported by 78% of the sample, and 60% reported at least one quit attempt in the past year. Mobile phone ownership was common (89%); with an average past-year turnover of 4 mobile phones and 3 phone numbers. Computer ownership was low (28%) and one third reported daily internet use (34%). Telephone (41%) and text message-based interventions (40%) were the most popular technology-based intervention to facilitate smoking cessation. CONCLUSIONS Despite concurrent AUD-OUD, most had attempted to quit smoking in the last year and preferred telephone- and text message-based interventions to facilitate smoking cessation. However, high turnover of mobile phones, phone numbers, and limited access to computers pose barriers to dissemination of technology-based smoking cessation interventions in this vulnerable population. CLINICALTRIAL K23DA042140-01A1


2018 ◽  
Vol 33 (8) ◽  
pp. 2521-2530 ◽  
Author(s):  
Nadine Ibrahim ◽  
Mitchell Alameddine ◽  
Julia Brennan ◽  
Michael Sessine ◽  
Charles Holliday ◽  
...  

2017 ◽  
Vol 28 (3) ◽  
pp. 717-724 ◽  
Author(s):  
Ruth Yoder ◽  
Padraig MacNeela ◽  
Ronan Conway ◽  
Caroline Heary

2018 ◽  
Author(s):  
Babak Tofighi ◽  
Joshua D. Lee ◽  
Scott Sherman ◽  
Daniel Schatz ◽  
Omar El-Shahawy

BACKGROUND Smoking remains a major public health burden among persons with opioid and/or alcohol use disorder yet preferences for technology assisted smoking cessation strategies remain largely unknown among this population. OBJECTIVE Assess smoking patterns and preferences for adopting technology-based interventions targeting smoking among individuals with opioid and/or alcohol use disorder. METHODS A 49-item semi-structured survey was conducted in 2015 among urban, inpatient detoxification program patients eliciting demographic and clinical characteristics, smoking profile, technology use patterns, and preferences for adopting technology-based smoking cessation interventions. Multivariate logistic regression models further evaluated the association between participant demographic and clinical characteristics and technology preferences. RESULTS Participants were mostly male (91%), unemployed or dependent on public assistance (68%), and admitted for detoxification for alcohol (47%), heroin (31%), or both alcohol and heroin (22%). Past 30-day smoking was reported by 78% of the sample, and 60% reported at least one quit attempt in the past year. Mobile phone ownership was common (89%); with an average past-year turnover of 4 mobile phones and 3 phone numbers. Computer ownership was low (28%) and one third reported daily internet use (34%). Telephone (41%) and text message-based interventions (40%) were the most popular technology-based intervention to facilitate smoking cessation. CONCLUSIONS Despite concurrent AUD-OUD, most respondents had attempted to quit smoking in the last year and preferred telephone- and text message-based interventions to facilitate smoking cessation. However, high turnover of mobile phones, phone numbers, and limited access to computers pose barriers to dissemination of technology-based smoking cessation interventions in this vulnerable population.


2015 ◽  
Vol 78 (3) ◽  
pp. 199-204 ◽  
Author(s):  
Alfredo B. Cuellar-Barboza ◽  
Mark A. Frye ◽  
Karen Grothe ◽  
Miguel L. Prieto ◽  
Terry D. Schneekloth ◽  
...  

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