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Alcoholics app

David Crane, Claire Garnett, Susan Michie, Robert West, Jamie Brown
Our aim was to evaluate intervention components of an alcohol reduction app: Drink Less. Excessive drinkers (AUDIT>=8) were recruited to test enhanced versus minimal (reduced functionality) versions of five app modules in a 25 factorial trial. Modules were: Self-monitoring and Feedback, Action Planning, Identity Change, Normative Feedback, and Cognitive Bias Re-training. Outcome measures were: change in weekly alcohol consumption (primary); full AUDIT score, app usage, app usability (secondary). Main effects and two-way interactions were assessed by ANOVA using intention-to-treat...
March 12, 2018: Scientific Reports
Cassidy A Gutner, Eric R Pedersen, Sean P A Drummond
Inclusion of consumer preferences to disseminate evidence-based psychosocial treatment (EBPT) is crucial to effectively bridge the science-to-practice quality chasm. We examined this treatment gap for insomnia, posttraumatic stress disorder (PTSD), depression, and comorbid symptoms in a sample of 622 young adult veterans through preference in symptom focus, treatment modality, and related gender differences among those screening positive for each problem. Data were collected from veteran drinkers recruited through targeted Facebook advertisements as part of a brief online alcohol intervention...
March 7, 2018: Psychiatry Research
Eun-Jeong Koh, Kui-Jin Kim, Jia Choi, Do-Hyung Kang, Boo-Yong Lee
Spirulina maxima is a blue-green micro alga that contains abundant amounts of proteins (60-70%), vitamins, chlorophyll a, and C-phycocyanin (C-PC). It has been shown to reduce oxidative stress, and prevent diabetes and non-alcoholic fatty liver disease. However, it is unclear whether Spirulina maxima 70% ethanol extract (SM70EE), chlorophyll a, and C-PC prevent Aβ1-42 -induced neurotoxicity in PC12 cells. The aim of this study was to investigate whether SM70EE, chlorophyll a, and C-PC prevent Aβ1-42 -induced cell death...
February 27, 2018: Neuroscience Letters
James Wilton, Syed W Noor, Alexandre Schnubb, James Lawless, Trevor A Hart, Troy Grennan, Shawn Fowler, John Maxwell, Darrell H S Tan
BACKGROUND: To maximize public health impact and cost-effectiveness, HIV pre-exposure prophylaxis (PrEP) must reach individuals at high HIV risk. Referrals for PrEP can be self- or provider-initiated, but there are several challenges to both. We assessed whether HIV risk differed by referral source among gay, bisexual and other men who have sex (gbMSM) screening for an HIV PrEP demonstration project. METHODS: PREPARATORY-5 was an open-label PrEP demonstration project enrolling gbMSM at high risk of HIV acquisition in Toronto, Canada...
February 27, 2018: BMC Public Health
Elina Järvelä-Reijonen, Leila Karhunen, Essi Sairanen, Joona Muotka, Sanni Lindroos, Jaana Laitinen, Sampsa Puttonen, Katri Peuhkuri, Maarit Hallikainen, Jussi Pihlajamäki, Riitta Korpela, Miikka Ermes, Raimo Lappalainen, Marjukka Kolehmainen
BACKGROUND: Internal motivation and good psychological capabilities are important factors in successful eating-related behavior change. Thus, we investigated whether general acceptance and commitment therapy (ACT) affects reported eating behavior and diet quality and whether baseline perceived stress moderates the intervention effects. METHODS: Secondary analysis of unblinded randomized controlled trial in three Finnish cities. Working-aged adults with psychological distress and overweight or obesity in three parallel groups: (1) ACT-based Face-to-face (n = 70; six group sessions led by a psychologist), (2) ACT-based Mobile (n = 78; one group session and mobile app), and (3) Control (n = 71; only the measurements)...
February 27, 2018: International Journal of Behavioral Nutrition and Physical Activity
Carol C Choo, André A D Burton
BACKGROUND: The mobile technology era has ushered in the use of mobile phone apps for behavioral intervention for at-risk drinkers. OBJECTIVE: Our objective was to review recent research relevant to mobile phone apps that can be used for behavioral intervention for at-risk drinkers in Australia. METHODS: The inclusion criteria for this review were articles published in peer-reviewed journals from 2001 to 2017 with use of the search terms "smartphone application," "alcohol," "substance," "behavioural intervention," "electronic health," and "mobile health...
February 13, 2018: JMIR MHealth and UHealth
Sven Reinhardt, Nicolai Stoye, Mathias Luderer, Falk Kiefer, Ulrich Schmitt, Klaus Lieb, Kristina Endres
ADAM10 is a metalloproteinase acting on the amyloid precursor protein (APP) as an alpha-secretase in neurons. Its enzymatic activity results in secretion of a neuroprotective APP cleavage product (sAPP-alpha) and prevents formation of the amyloidogenic A-beta peptides, major hallmarks of Alzheimer's disease (AD). Elevated ADAM10 levels appeared to contribute to attenuation of A-beta-plaque formation and learning and memory deficits in AD mouse models. Therefore, it has been assumed that ADAM10 might represent a valuable target in AD therapy...
January 22, 2018: Scientific Reports
K S Kylie Lee, Scott Wilson, Jimmy Perry, Robin Room, Sarah Callinan, Robert Assan, Noel Hayman, Tanya Chikritzhs, Dennis Gray, Edward Wilkes, Peter Jack GradDipIndigH, Katherine M Conigrave
BACKGROUND: The challenges of assessing alcohol consumption can be greater in Indigenous communities where there may be culturally distinct approaches to communication, sharing of drinking containers and episodic patterns of drinking. This paper discusses the processes used to develop a tablet computer-based application ('App') to collect a detailed assessment of drinking patterns in Indigenous Australians. The key features of the resulting App are described. METHODS: An iterative consultation process was used (instead of one-off focus groups), with Indigenous cultural experts and clinical experts...
January 15, 2018: BMC Medical Informatics and Decision Making
Gina L Ambrosini, Miriam Hurworth, Roslyn Giglia, Gina Trapp, Penelope Strauss
BACKGROUND: Dietary assessment methods that can provide high quality data while limiting participant burden and resource requirements in epidemiological research are highly sought after and continue to evolve. The use of mobile phone technology in research has increased rapidly over the last decade and offers multiple advantages to the researcher over traditional data collection methods. This study tested the acceptability and relative validity of a commercial smart phone application (app) for use as an epidemiological dietary assessment tool, compared with a traditional dietary assessment method...
January 9, 2018: Nutrition Journal
Pedram Gharani, Brian Suffoletto, Tammy Chung, Hassan A Karimi
Impairments in gait occur after alcohol consumption, and, if detected in real-time, could guide the delivery of "just-in-time" injury prevention interventions. We aimed to identify the salient features of gait that could be used for estimating blood alcohol content (BAC) level in a typical drinking environment. We recruited 10 young adults with a history of heavy drinking to test our research app. During four consecutive Fridays and Saturdays, every hour from 8 p.m. to 12 a.m., they were prompted to use the app to report alcohol consumption and complete a 5-step straight-line walking task, during which 3-axis acceleration and angular velocity data was sampled at a frequency of 100 Hz...
December 13, 2017: Sensors
Susan E Luczak, Ashley L Hawkins, Zheng Dai, Raphael Wichmann, Chunming Wang, I Gary Rosen
Biosensors have been developed to measure transdermal alcohol concentration (TAC), but converting TAC into interpretable indices of blood/breath alcohol concentration (BAC/BrAC) is difficult because of variations that occur in TAC across individuals, drinking episodes, and devices. We have developed mathematical models and the BrAC Estimator software for calibrating and inverting TAC into quantifiable BrAC estimates (eBrAC). The calibration protocol to determine the individualized parameters for a specific individual wearing a specific device requires a drinking session in which BrAC and TAC measurements are obtained simultaneously...
December 2, 2017: Addictive Behaviors
Sangwon Bae, Tammy Chung, Denzil Ferreira, Anind K Dey, Brian Suffoletto
BACKGROUND: Real-time detection of drinking could improve timely delivery of interventions aimed at reducing alcohol consumption and alcohol-related injury, but existing detection methods are burdensome or impractical. OBJECTIVE: To evaluate whether phone sensor data and machine learning models are useful to detect alcohol use events, and to discuss implications of these results for just-in-time mobile interventions. METHODS: 38 non-treatment seeking young adult heavy drinkers downloaded AWARE app (which continuously collected mobile phone sensor data), and reported alcohol consumption (number of drinks, start/end time of prior day's drinking) for 28days...
November 27, 2017: Addictive Behaviors
Luke Wolfenden, Nicole K Nathan, Rachel Sutherland, Sze Lin Yoong, Rebecca K Hodder, Rebecca J Wyse, Tessa Delaney, Alice Grady, Alison Fielding, Flora Tzelepis, Tara Clinton-McHarg, Benjamin Parmenter, Peter Butler, John Wiggers, Adrian Bauman, Andrew Milat, Debbie Booth, Christopher M Williams
BACKGROUND: A number of school-based policies or practices have been found to be effective in improving child diet and physical activity, and preventing excessive weight gain, tobacco or harmful alcohol use. Schools, however, frequently fail to implement such evidence-based interventions. OBJECTIVES: The primary aims of the review are to examine the effectiveness of strategies aiming to improve the implementation of school-based policies, programs or practices to address child diet, physical activity, obesity, tobacco or alcohol use...
November 29, 2017: Cochrane Database of Systematic Reviews
John C Sieverdes, Zachary W Adams, Lynne Nemeth, Brenda Brunner-Jackson, Martina Mueller, Ashley Anderson, Sachin Patel, Luke Sox, Frank A Treiber
Background: Chronic stress is an independent risk factor for essential hypertension (EH), cardiovascular disease (CVD), and is sometimes confronted by mal-adaptive coping behaviors (e.g., stress eating, excessive alcohol consumption, etc.). Pre-essential hypertension (preEH) is the leading predictor of future EH status. Breathing awareness meditation (BAM) can result in clinically beneficial blood pressure (BP) reductions, though face-to-face sessions presents barriers to reach those in need...
2017: MHealth
Jie Li, Jian Cheng
Neuronal loss is a prominent phenomenon in Alzheimer's disease (AD) and alcohol-induced brain damage. Alcohol abuse is associated with an increased risk of AD, regardless of the type of alcoholic beverage. Furthermore, the detrimental effect of excessive alcohol consumption on the risk of AD is exacerbated among people carrying apolipoprotein E (APOE) ε4 allele, the major genetic risk factor for AD. However, how APOE ε4 and alcohol abuse synergistically enhance the possibility of AD is unclear. Here we show that in N2a cells stably expressing human APP695 (N2a-APP), high-concentration ethanol-induced neurotoxicity was significantly augmented in the presence of apoE4 protein, compared with apoE3 protein...
February 5, 2018: Neuroscience Letters
Patrick L Dulin, Corene E Alvarado, James M Fitterling, Vivian M Gonzalez
This study compared alcohol consumption data collected through daily interviews on a smartphone with data collected via the Timeline Follow-Back (TLFB) during a 6-week pilot study of a smartphone-based alcohol intervention system. The focus of the study was to assess for discrepancies between the two measurement methodologies on commonly utilized alcohol outcome variables. Twenty-five participants between 22 and 45 years of age and were drinking heavily at study incipience completed a 6-week alcohol intervention delivered by a smartphone application that monitored drinking through a daily interview...
2017: Addiction Research & Theory
Antoinette Poulton, Jason Pan, Loren Richard Bruns, Richard O Sinnott, Robert Hester
INTRODUCTION: Research investigating problem drinking often relies on retrospective measures to assess alcohol consumption behaviour. Limitations associated with such instruments can, however, distort actual consumption levels and patterns. We developed the smartphone application (app), CNLab-A, to assess alcohol intake behaviour in real-time. METHODS: Healthy individuals (N=671, M age 23.12) completed demographic questions plus the Alcohol Use Questionnaire and a 21-day Timeline Followback before using CNLab-A for 21days...
November 3, 2017: Addictive Behaviors
Milo Engoren, Lauryn R Rochlen, Matthew V Diehl, Sarah S Sherman, Elizabeth Jewell, Mary Golinski, Paul Begeman, John M Cavanaugh
BACKGROUND: While most Direct laryngoscopy leads to dental injury in 25-39% of cases. Dental injury occurs when the forces and impacts applied to the teeth exceed the ability of the structures to dissipate energy and stress. The purpose of this study was to measure strain, (which is the change produced in the length of the tooth by a force applied to the tooth) strain rate, and strain-time integral to the maxillary incisors and determine if they varied by experience, type of blade, or use of an alcohol protective pad (APP)...
November 7, 2017: BMC Anesthesiology
Bettina B Hoeppner, Melissa R Schick, Lourah M Kelly, Susanne S Hoeppner, Brandon Bergman, John F Kelly
INTRODUCTION: Smartphone apps are emerging as a promising tool to support recovery from and prevention of problematic alcohol use, yet it is unclear what type of apps are currently available in the public domain, and to what degree these apps use interactive tailoring or other dynamic features to meet users' specific needs. METHODS: We conducted a content analysis of Android apps for managing drinking available on Google Play (n=266), downloaded between November 21, 2014 and June 25, 2015...
November 2017: Journal of Substance Abuse Treatment
Peta A Lee-Tobin, Rowan P Ogeil, Michael Savic, Dan I Lubman
STUDY OBJECTIVES: Sleep applications (apps) have proliferated in online spaces, but few studies have examined the validity of the information contained within the apps. This study aimed to examine the information and functions found within sleep apps, determine if the information is based on empirical evidence, and whether or not user ratings were affected by these factors. METHODS: Sleep apps found in the Google Play store (n = 76) were coded using content analysis to examine the types of information, functions, and evidence base of each app...
November 15, 2017: Journal of Clinical Sleep Medicine: JCSM: Official Publication of the American Academy of Sleep Medicine
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