Real-Time Mobile Monitoring of Drinking Episodes in Young Adult Heavy Drinkers: Development and Comparative Survey Study (Preprint)

2019 ◽  
Author(s):  
Daniel J Fridberg ◽  
James Faria ◽  
Dingcai Cao ◽  
Andrea C King

BACKGROUND Binge drinking, defined as consuming five or more standard alcoholic drinks for men (four for women) within a 2-hour period, is common among young adults and is associated with significant alcohol-related morbidity and mortality. To date, most research on this problem in young adults has relied upon retrospective questionnaires or costly laboratory-based procedures. Smartphone-based ecological momentary assessment (EMA) may address these limitations by allowing researchers to measure alcohol use and related consequences in real time and in drinkers’ natural environments. To date, however, relatively less research has systematically examined the utility of this approach in a sample of young adults targeting real-world heavy drinking episodes specifically. OBJECTIVE This study aimed to evaluate the feasibility, acceptability, and safety of a smartphone-based EMA method targeting binge drinking and related outcomes in heavy drinking young adults during real-world drinking occasions. METHODS Young adult binge drinkers in the smartphone group (N=83; mean 25.4 (SD 2.6) years; 58% (48/83) male; bingeing on 23.2% (6.5/28) days in the past month) completed baseline measures of alcohol use and drinking-related consequences, followed by up to two smartphone-based EMA sessions of typical drinking behavior and related outcomes in their natural environments. They also completed next-day and two-week follow-up surveys further assessing alcohol use and related consequences during the EMA sessions and two weeks after study participation, respectively. A separate demographic- and drinking-matched safety comparison group (N=25) completed the baseline and two-week follow-up surveys but did not complete EMA of real-world drinking behavior. RESULTS Most participants (71%, 59/83) in the smartphone group engaged in binge drinking during at least one 3-hour EMA session, consuming 7.3 (SD 3.0) standard alcoholic drinks. They completed 87.2% (507/581) system-initiated EMA prompts during the real-world drinking episode, supporting the feasibility of this approach. The procedure was acceptable, as evidenced by high participant ratings for overall satisfaction with the EMA software and study procedures and low ratings for intrusiveness of the mobile surveys. Regarding safety, participants endorsed few drinking-related consequences during or after the real-world drinking episode, with no adverse or serious adverse events reported. There were no differences between the groups in terms of changes in drinking behavior or consequences from baseline to two-week follow-up. CONCLUSIONS This study provided preliminary support for the feasibility, acceptability, and safety of a smartphone-based EMA of real-time alcohol use and related outcomes in young adult heavy drinkers. The results suggest that young adults can use smartphones to safely monitor drinking even during very heavy drinking episodes. Smartphone-based EMA has strong potential to inform future research on the epidemiology of and intervention for alcohol use disorder by providing researchers with an efficient and inexpensive way to capture large amounts of data on real-world drinking behavior and consequences.

10.2196/13765 ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. e13765 ◽  
Author(s):  
Daniel J Fridberg ◽  
James Faria ◽  
Dingcai Cao ◽  
Andrea C King

Background Binge drinking, defined as consuming five or more standard alcoholic drinks for men (four for women) within a 2-hour period, is common among young adults and is associated with significant alcohol-related morbidity and mortality. To date, most research on this problem in young adults has relied upon retrospective questionnaires or costly laboratory-based procedures. Smartphone-based ecological momentary assessment (EMA) may address these limitations by allowing researchers to measure alcohol use and related consequences in real time and in drinkers’ natural environments. To date, however, relatively less research has systematically examined the utility of this approach in a sample of young adults targeting real-world heavy drinking episodes specifically. Objective This study aimed to evaluate the feasibility, acceptability, and safety of a smartphone-based EMA method targeting binge drinking and related outcomes in heavy drinking young adults during real-world drinking occasions. Methods Young adult binge drinkers in the smartphone group (N=83; mean 25.4 (SD 2.6) years; 58% (48/83) male; bingeing on 23.2% (6.5/28) days in the past month) completed baseline measures of alcohol use and drinking-related consequences, followed by up to two smartphone-based EMA sessions of typical drinking behavior and related outcomes in their natural environments. They also completed next-day and two-week follow-up surveys further assessing alcohol use and related consequences during the EMA sessions and two weeks after study participation, respectively. A separate demographic- and drinking-matched safety comparison group (N=25) completed the baseline and two-week follow-up surveys but did not complete EMA of real-world drinking behavior. Results Most participants (71%, 59/83) in the smartphone group engaged in binge drinking during at least one 3-hour EMA session, consuming 7.3 (SD 3.0) standard alcoholic drinks. They completed 87.2% (507/581) system-initiated EMA prompts during the real-world drinking episode, supporting the feasibility of this approach. The procedure was acceptable, as evidenced by high participant ratings for overall satisfaction with the EMA software and study procedures and low ratings for intrusiveness of the mobile surveys. Regarding safety, participants endorsed few drinking-related consequences during or after the real-world drinking episode, with no adverse or serious adverse events reported. There were no differences between the groups in terms of changes in drinking behavior or consequences from baseline to two-week follow-up. Conclusions This study provided preliminary support for the feasibility, acceptability, and safety of a smartphone-based EMA of real-time alcohol use and related outcomes in young adult heavy drinkers. The results suggest that young adults can use smartphones to safely monitor drinking even during very heavy drinking episodes. Smartphone-based EMA has strong potential to inform future research on the epidemiology of and intervention for alcohol use disorder by providing researchers with an efficient and inexpensive way to capture large amounts of data on real-world drinking behavior and consequences.


SLEEP ◽  
2020 ◽  
Author(s):  
Mary Beth Miller ◽  
Chelsea B Deroche ◽  
Lindsey K Freeman ◽  
Chan Jeong Park ◽  
Nicole A Hall ◽  
...  

Abstract Study Objectives More than half of young adults at risk for alcohol-related harm report symptoms of insomnia. Insomnia symptoms, in turn, have been associated with alcohol-related problems. Yet one of the first-line treatments for insomnia (Cognitive Behavioral Therapy for Insomnia or CBT-I) has not been tested among individuals who are actively drinking. This study tested (1) the feasibility and short-term efficacy of CBT-I among binge-drinking young adults with insomnia and (2) improvement in insomnia as a predictor of improvement in alcohol use outcomes. Methods Young adults (ages 18–30 years, 75% female, 73% college students) who met criteria for Insomnia Disorder and reported 1+ binge drinking episode (4/5+ drinks for women/men) in the past month were randomly assigned to 5 weekly sessions of CBT-I (n = 28) or single-session sleep hygiene (SH, n = 28). All participants wore wrist actigraphy and completed daily sleep surveys for 7+ days at baseline, posttreatment, and 1-month follow-up. Results Of those randomized, 43 (77%) completed posttreatment (19 CBT-I, 24 SH) and 48 (86%) completed 1-month follow-up (23 CBT-I, 25 SH). CBT-I participants reported greater posttreatment decreases in insomnia severity than those in SH (56% vs. 32% reduction in symptoms). CBT-I did not have a direct effect on alcohol use outcomes; however, mediation models indicated that CBT-I influenced change in alcohol-related consequences indirectly through its influence on posttreatment insomnia severity. Conclusions CBT-I is a viable intervention among individuals who are actively drinking. Research examining improvement in insomnia as a mechanism for improvement in alcohol-related consequences is warranted. Trial Registration U.S. National Library of Medicine, https://clinicaltrials.gov/ct2/show/NCT03627832, registration #NCT03627832


2017 ◽  
Author(s):  
Sarah M. Hartz ◽  
Mary Oehlert ◽  
Amy C. Horton ◽  
Richard Grucza ◽  
Sherri L. Fisher ◽  
...  

AbstractImportanceCurrent recommendations for low-risk drinking are based on drinking quantity: up to one drink daily for women and two drinks daily for men. Drinking frequency has not been independently examined for its contribution to mortality.ObjectiveTo evaluate the impact of drinking frequency on all-cause mortality after adjusting for drinks per day and binge drinking behavior.DesignTwo independent observational studies with self-reported alcohol use and subsequent all-cause mortality: the National Health Interview Survey (NHIS), and data from Veteran’s Health Administration clinics (VA).SettingEpidemiological sample (NHIS) and VA outpatient database (VA Corporate Data Warehouse).Participants208,661 individuals from the NHIS interviewed between 1997 and 2009 at the age of 30 to 70 with mortality follow-up in the last quarter of 2011; 75,515 VA outpatients born between 1948 and 1968 who completed an alcohol survey in 2008 with mortality follow-up in June 2016.ExposuresQuantity of alcohol use when not binging (1-2 drinks on typical day, 3-4 drinks on typical day), frequency of non-binge drinking (never, weekly or less, 2-3 times weekly, 4 or more times weekly), and frequency of binge drinking (never, less than weekly, 1-3 times weekly, 4 or more times weekly). Covariates included age, sex, race, and comorbidity.Main Outcomes and MeasuresAll-cause mortality.ResultsAfter adjusting for binge drinking behavior, survival analysis showed an increased risk for all-cause mortality among people who typically drink 1-2 drinks four or more times weekly, relative to people who typically drink 1-2 drinks at a time weekly or less (NHIS dataset HR=1.15, 95% CI 1.06-1.26; VA dataset HR=1.31, 95% CI 1.15-1.49).Conclusions and RelevanceDrinking four or more times weekly increased risk of all-cause mortality, even among those who drank only 1 or 2 drinks daily. This was seen in both a large epidemiological database and a large hospital-based database, suggesting that the results can be generalized.


10.2196/10460 ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. e10460 ◽  
Author(s):  
Tera L Fazzino ◽  
Corby K Martin ◽  
Kelsie Forbush

Background Heavy drinking is prevalent among young adults and may contribute to obesity. However, measurement tools for assessing caloric intake from alcohol are limited and rely on self-report, which is prone to bias. Objective The purpose of our study was to conduct feasibility testing of the Remote Food Photography Method and the SmartIntake app to assess alcohol use in young adults. Aims consisted of (1) quantifying the ability of SmartIntake to capture drinking behavior, (2) assessing app usability with the Computer System Usability Questionnaire (CSUQ), (3) conducting a qualitative interview, and (4) comparing preference, usage, and alcohol use estimates (calories, grams per drinking episode) between SmartIntake and online diet recalls that participants completed for a parent study. Methods College students (N=15) who endorsed a pattern of heavy drinking were recruited from a parent study. Participants used SmartIntake to send photographs of all alcohol and food intake over a 3-day period and then completed a follow-up interview and the CSUQ. CSUQ items range from 1-7, with lower scores indicating greater usability. Total drinking occasions were determined by adding the number of drinking occasions captured by SmartIntake plus the number of drinking occasions participants reported that they missed capturing. Usage was defined by the number of days participants provided food/beverage photos through the app, or the number of diet recalls completed. Results SmartIntake captured 87% (13/15) of total reported drinking occasions. Participants rated the app as highly usable in the CSUQ (mean 2.28, SD 1.23). Most participants (14/15, 93%) preferred using SmartIntake versus recalls, and usage was significantly higher with SmartIntake than recalls (42/45, 93% vs 35/45, 78%; P=.04). Triple the number of participants submitted alcohol reports with SmartIntake compared to the recalls (SmartIntake 9/15, 60% vs recalls 3/15, 20%; P=.06), and 60% (9/15) of participants reported drinking during the study. Conclusions SmartIntake was acceptable to college students who drank heavily and captured most drinking occasions. Participants had higher usage of SmartIntake compared to recalls, suggesting SmartIntake may be well suited to measuring alcohol consumption in young adults. However, 40% (6/15) did not drink during the brief testing period and, although findings are promising, a longer trial is needed.


2018 ◽  
Author(s):  
Tera L Fazzino ◽  
Corby Martin ◽  
Kelsie Forbush

BACKGROUND Heavy alcohol use is prevalent among young adults and may contribute to obesity. However, measurement tools for assessing caloric intake from alcohol are limited and rely on self-report, which is prone to biases. OBJECTIVE The purpose of the pilot study was to conduct feasibility testing of SmartIntake®, a photo-based smartphone app, to assess alcohol use among young adults. Aims consisted of 1) quantifying the ability of SmartIntake® to capture drinking behavior; 2) assessing app usability with the Computer System Usability Questionnaire (CSUQ); 3) conducting a qualitative interview; and 4) comparing preference, compliance, and alcohol use estimates (calories, grams per drinking episode) between SmartIntake® and online diet recalls that participants completed for a parent study. METHODS College students (N=15) who endorsed a pattern of heavy drinking were recruited from a larger study examining the impact of drinking on weight. Participants used SmartIntake® to send photographs of all alcohol and food intake over a three-day period, and then completed a follow up interview and the CSUQ. CSUQ items range from 1-7, with lower scores indicating greater usability. Total number of drinking occasions was determined by adding the number of drinking occasions captured by SmartIntake® plus the number of drinking occasions participants reported that they missed capturing. Compliance was defined by the number of days participants provided food/beverage photo data through the app, or the number of diet recalls completed. RESULTS The SmartIntake® app captured 13 of 15 (87%) drinking occasions. Participants rated the app as highly usable in the CSUQ (M= 2.28). Most participants (93%) preferred using SmartIntake® vs. recalls and compliance was significantly higher with SmartIntake® than recalls (93% vs 78%; P= .04). Alcohol grams and calories per drinking occasion were not significantly different between the two methods (P values range .25-.99); however triple the number of participants submitted alcohol reports with SmartIntake® compared to the diet recalls (SmartIntake® 9/15 vs recalls 3/15; P=.06). CONCLUSIONS SmartIntake® was well accepted by college students who drink heavily and captured most drinking occasions. Participants had higher compliance with SmartIntake® compared to diet recalls and triple the number of participants reported alcohol use with SmartIntake®, suggesting this method may be well suited to assessing alcohol use in young adults.


2018 ◽  
Vol 36 (28) ◽  
pp. 2854-2862 ◽  
Author(s):  
Ralph E. Vatner ◽  
Andrzej Niemierko ◽  
Madhusmita Misra ◽  
Elizabeth A. Weyman ◽  
Claire P. Goebel ◽  
...  

Purpose There are sparse data defining the dose response of radiation therapy (RT) to the hypothalamus and pituitary in pediatric and young adult patients with brain tumors. We examined the correlation between RT dose to these structures and development of endocrine dysfunction in this population. Materials and Methods Dosimetric and clinical data were collected from children and young adults (< 26 years of age) with brain tumors treated with proton RT on three prospective studies (2003 to 2016). Deficiencies of growth hormone (GH), thyroid hormone, adrenocorticotropic hormone, and gonadotropins were determined clinically and serologically. Incidence of deficiency was estimated using the Kaplan-Meier method. Multivariate models were constructed accounting for radiation dose and age. Results Of 222 patients in the study, 189 were evaluable by actuarial analysis, with a median follow-up of 4.4 years (range, 0.1 to 13.3 years), with 31 patients (14%) excluded from actuarial analysis for having baseline hormone deficiency and two patients (0.9%) because of lack of follow-up. One hundred thirty patients (68.8%) with medulloblastoma were treated with craniospinal irradiation (CSI) and boost; most of the remaining patients (n = 56) received involved field RT, most commonly for ependymoma (13.8%; n = 26) and low-grade glioma (7.4%; n = 14). The 4-year actuarial rate of any hormone deficiency, growth hormone, thyroid hormone, adrenocorticotropic hormone, and gonadotropin deficiencies were 48.8%, 37.4%, 20.5%, 6.9%, and 4.1%, respectively. Age at start of RT, time interval since treatment, and median dose to the combined hypothalamus and pituitary were correlated with increased incidence of deficiency. Conclusion Median hypothalamic and pituitary radiation dose, younger age, and longer follow-up time were associated with increased rates of endocrinopathy in children and young adults treated with radiotherapy for brain tumors.


Author(s):  
Sarah S Dermody ◽  
Katelyn M Tessier ◽  
Ellen Meier ◽  
Mustafa al’Absi ◽  
Rachel L Denlinger-Apte ◽  
...  

Abstract Background A nicotine product standard reducing the nicotine content in cigarettes could improve public health by reducing smoking. This study evaluated the potential unintended consequences of a reduced-nicotine product standard by examining its effects on (1) smoking behaviors based on drinking history; (2) drinking behavior; and (3) daily associations between smoking and drinking. Methods Adults who smoke daily (n=752) in the United States were randomly assigned to smoke very low nicotine content (VLNC) versus normal nicotine content (NNC; control) cigarettes for 20 weeks. Linear mixed models determined if baseline drinking moderated the effects of VLNC versus NNC cigarettes on Week 20 smoking outcomes. Time-varying effect models estimated the daily association between smoking VLNC cigarettes and drinking outcomes. Results Higher baseline alcohol use (versus no-use or lower use) was associated with a smaller effect of VLNC on Week 20 urinary total nicotine equivalents (ps&lt;.05). No additional moderation was supported (ps&gt;.05). In the subsample who drank (n=415), in the VLNC versus NNC condition, daily alcohol use was significantly reduced from Week 17-20 and odds of binge drinking were significantly reduced from Week 9-17. By Week 7 in the VLNC cigarette condition (n=272), smoking no longer predicted alcohol use but remained associated with binge drinking. Conclusions We did not support negative unintended consequences of a nicotine product standard. Nicotine reduction in cigarettes generally impacted smoking behavior for individuals who do not drink or drink light-to-moderate amounts in similar ways. Extended VLNC cigarette use may improve public health by reducing drinking behavior. Implications There was no evidence that a very low nicotine content product standard would result in unintended consequences based on drinking history or when considering alcohol outcomes. Specifically, we found that a very low nicotine standard in cigarettes generally reduces smoking outcomes for those who do not drink and those who drink light-to-moderate amounts. Furthermore, an added public health benefit of a very low nicotine standard for cigarettes could be a reduction in alcohol use and binge drinking over time. Finally, smoking very low nicotine content cigarettes may result in a decoupling of the daily associations between smoking and drinking.


2019 ◽  
Vol 3 (s1) ◽  
pp. 154-155
Author(s):  
James Keoni Morris ◽  
Julia E. Swan ◽  
Josh L. Gowin ◽  
Melanie L. Schwandt ◽  
Nancy Diazgranados ◽  
...  

OBJECTIVES/SPECIFIC AIMS: This study attempts to evaluate the drinking patterns and traits of individuals who partake in high intensity drinking, defined as binge drinking at 2 or more times the minimum binge count (4 drinks for females, 5 drinks for males). METHODS/STUDY POPULATION: We analyzed data from non-treatment seeking volunteers enrolled in NIAAA screening protocols. The sample included 706 males and 474 females ranging in age from 18 to 91. Subjects were assigned to one of four groups (Non-Binge, Level 1, Level 2, Level 3) based on the highest binge session reported in their Timeline Followback questionnaire. The criteria for each group were different for males and females based on the current NIAAA definitions of binge drinking. The cutoffs for females were 0-3 drinks for Non-Binge, 4-7 drinks for Level 1, 8-11 drinks for Level 2, and 12+ drinks for Level 3. The male drink cutoffs were 0-4, 5-9, 10-14, and 15+ respectively. We looked at various drinking measures (Timeline Followback, Self-Reported Effects of Alcohol (SRE), Alcohol Use Disorders Identification Test (AUDIT)) and trait measures (UPPS-P Impulsivity Scale, Barratt’s Impulsiveness Scale, Buss Perry Aggression Questionnaire) to identify mean differences between groups. RESULTS/ANTICIPATED RESULTS: There were significant differences in drinking patterns between the groups for both males and females. Number of drinking days, average drinks per drinking day, and number of heavy drinking days all increased as binge level increased. There were also significant differences between groups in males for trait measures. Level 2 and Level 3 bingers scored significantly higher on impulsivity and aggression than the Level 1 and Non-Binge groups. Ongoing analyses are examining differences among binge groups on other measures including SRE and AUDIT. Future analyses will explore potential mechanisms underlying the relationships between trait measures and binge drinking using structural equation modeling. DISCUSSION/SIGNIFICANCE OF IMPACT: This study found significant differences between high-intensity drinkers, or “super bingers”, and lighter binge and non-binge drinkers. Super bingers showed an overall heavier drinking pattern across measures. The elevated aggression, impulsivity, and overall heavy drinking patterns of super bingers suggest a behavioral profile that makes this group in particular at higher risk for developing alcohol use disorder and related problems. These traits and behaviors may also help identify targets for treatment interventions for alcohol use disorder.


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