Abstract:Binge drinking is associated with clinically significant individual-level and public health consequences. The topography of binge drinking may influence the emergence of consequences but studies of topography require a higher level of temporal resolution than is typically available in epidemiological research. To address topography across the five “peak ” years of binge drinking (18 to 23 years), we assessed daily binge drinking via successive 90-day Timeline Follow back interviews of 645 young adults (resultin… Show more
“…This pattern has been shown across samples, with the overwhelming majority focusing on college students (Del Boca et al, 2004; Hoeppner et al, 2012; Labhart & Kuntsche, 2014; Maggs et al, 2011; Tremblay et al, 2010; Wood et al, 2007), but also has been demonstrated in the general population (Kushnir & Cunningham, 2014). The current findings are consistent with Goldman et al (2011), which showed weekly patterns of drinking escalation from weekday to weekend, and congruous with the results of Reich et al (2015), which revealed that those choosing to binge drink varied by day of the week, with rates peaking on Saturdays.…”
The current investigation sought to examine “day of the week” drinking of an at-risk sample of nonstudent emerging adults and whether specific factors are associated with differential drinking patterns. Our study aims were to: (1) identify differences in weekday versus weekend drinking, (2) examine specific expectancies (i.e., sociability, tension reduction) and demographic factors (e.g., age, sex) as relating to weekend versus weekday drinking after controlling for harmful drinking and holiday drinking. Participants were 238 (63.4% men, 35.7% women; M age = 21.92 years) heavy drinking noncollege-attenders recruited from the community. They reported daily drinking for the previous 30 days and completed measures of harmful drinking, alcohol expectancies, and demographic information. Results showed that more drinks were consumed on the weekends (i.e., Thursday to Saturday) than weekdays, with 63% of drinks consumed on weekends. Multilevel modeling analyses indicated that weekday drinking was associated with tension reduction expectancies, social expectancies, sex, and age. Weekend drinking increases were related to social expectancies but not tension reduction expectancies. Our final model indicated that, after controlling for the effect of holiday drinking, the within-person weekday/weekend distinction explained 18% of the total variance. In general, our findings highlight the importance of alcohol expectancies and drinking contexts in understanding the drinking behaviors of nonstudents. The differential role of tension reduction and social facilitation expectancies on drinking throughout the week imply different cognitive pathways are involved in weekday versus weekend drinking and both types of expected alcohol effects should be targets of risk-reduction efforts with nonstudent drinkers.
“…This pattern has been shown across samples, with the overwhelming majority focusing on college students (Del Boca et al, 2004; Hoeppner et al, 2012; Labhart & Kuntsche, 2014; Maggs et al, 2011; Tremblay et al, 2010; Wood et al, 2007), but also has been demonstrated in the general population (Kushnir & Cunningham, 2014). The current findings are consistent with Goldman et al (2011), which showed weekly patterns of drinking escalation from weekday to weekend, and congruous with the results of Reich et al (2015), which revealed that those choosing to binge drink varied by day of the week, with rates peaking on Saturdays.…”
The current investigation sought to examine “day of the week” drinking of an at-risk sample of nonstudent emerging adults and whether specific factors are associated with differential drinking patterns. Our study aims were to: (1) identify differences in weekday versus weekend drinking, (2) examine specific expectancies (i.e., sociability, tension reduction) and demographic factors (e.g., age, sex) as relating to weekend versus weekday drinking after controlling for harmful drinking and holiday drinking. Participants were 238 (63.4% men, 35.7% women; M age = 21.92 years) heavy drinking noncollege-attenders recruited from the community. They reported daily drinking for the previous 30 days and completed measures of harmful drinking, alcohol expectancies, and demographic information. Results showed that more drinks were consumed on the weekends (i.e., Thursday to Saturday) than weekdays, with 63% of drinks consumed on weekends. Multilevel modeling analyses indicated that weekday drinking was associated with tension reduction expectancies, social expectancies, sex, and age. Weekend drinking increases were related to social expectancies but not tension reduction expectancies. Our final model indicated that, after controlling for the effect of holiday drinking, the within-person weekday/weekend distinction explained 18% of the total variance. In general, our findings highlight the importance of alcohol expectancies and drinking contexts in understanding the drinking behaviors of nonstudents. The differential role of tension reduction and social facilitation expectancies on drinking throughout the week imply different cognitive pathways are involved in weekday versus weekend drinking and both types of expected alcohol effects should be targets of risk-reduction efforts with nonstudent drinkers.
“…These findings add credence to the notion that animals crossing the threshold for binge drinking (≥80 mg/dl), may require several days for recovery before consuming large amounts of EtOH again, whereas the animals consuming the Boost ® solution alone are not subject to such constraints and can maintain more consistent intakes across the 14 days of access. Although not used in the formal definition of binge use, binge‐like consumption in adolescents typically follows a pattern of high levels of drinking followed by days of little consumption (e.g., binge drinking on weekends) (Reich et al., ). It is interesting that the intake of our animals showed a similar variable pattern under circumstances when free access was given daily, suggesting that the variability in binge pattern of use over day in human adolescents may not merely be opportunistic, but could reflect in part acute withdrawal and recovery.…”
Background
The still maturing adolescent brain may be particularly vulnerable to lasting consequences of ethanol exposure. Yet, human adolescents are the age group most likely to engage in binge drinking (a pattern of drinking leading to blood ethanol concentrations (BECs) of 80 mg/dl or greater). Most studies to date assessing the long-term effects of adolescent ethanol exposure in outbred rodent populations have either used experimenter-administered ethanol to produce BECs in the binge range or assessed voluntary intake of ethanol at well below binge levels. Beginning with a modified schedule-induced polydipsia (SIP) procedure, this study examined the suitability of several approaches to induce voluntary binge-like consumption during adolescence in an outbred rat strain.
Methods
Adolescent male and female Sprague-Dawley rats were food deprived to 85% projected free-feeding weights beginning on postnatal day (P) 24, and were given 30 minutes of access to 10% ethanol in chocolate Boost® or Boost® alone daily from P28 to P41 (followed later by their daily allocation of food). Animals were tested within operant chambers (Exp.1a,1b,2) or home and novel cages (Exp.3). Animals received either scheduled delivery of banana pellets to examine schedule-induced polydipsia (Exp.1a,b) or massed pellet presentation (Exp. 2,3). Blood samples were collected via the lateral tail vein on P33 and P41.
Results
Intakes produced BECs frequently in the binge range (> 80mg/dl) and modeled binge-like consumption patterns, with high consumption days typically followed by 1–2 days of lower consumption; this variability was less evident with Boost® alone. Consumption was not schedule-induced, and was generally high across all studies, although consumption in males appeared to be particularly pronounced when animals were tested in the presence of their cage mate.
Conclusions
Binge-like patterns of ethanol consumption were produced using these procedures in adolescent Sprague-Dawley rats of both sexes, and may prove to be a useful model for work examining the short- and long-term consequences of high levels of voluntary ethanol intake in adolescence.
“…Increases in binge drinking days are likely to be associated with corresponding increases in other risks (58). In addition to the obvious immediate effects of consuming a large amount of alcohol at a single sitting, there is evidence to suggest that more adverse events are associated with 2 or more days of binge (heavy) drinking a week than with more regular consumption of smaller amounts of alcohol (64). …”
Objective(s)
People Living with HIV (PLHIV) on anti-retroviral treatment (ART) who drink are less adherent and more likely to engage in unprotected sex. Using an adapted Timeline Follow-Back (A-TLFB) procedure, this paper examines the day by day interface of alcohol, medication adherence and sex to provide a fine grained understanding of how multiple behavioral risks coincide in time and space, explores concordance/discordance of measures with survey data and identifies potential recall bias.
Methods
Data are drawn from a survey of behavior, knowledge and attitudes, and a 30 day TLFB assessment of multiple risk behaviors adapted for the Indian PLHIV context, administered to 940 alcohol-consuming, HIV positive men on ART at the baseline evaluation stage of a multilevel, multi-centric intervention study
Results
On days participants drank they were significantly more likely to be medication non-adherent and to have unprotected sex. In the first day after their alcohol consuming day, the pattern of nonadherence persisted. Binge and regular drinking days were associated with nonadherence but only binge drinking co-occurred with unprotected sex. Asking about specific “drinking days” improved recall for drinking days and number of drinks consumed. Recall declined for drinking days and nonadherence from the first week to subsequent weeks but varied randomly for sex risk. There was high concordance and low discordance between adapted TLFB drinking and nonadherence but these results were reversed for unprotected sex.
Conclusions
Moving beyond simple drinking-adherence correlational analysis, the adapted TLFB offers improved recall probes and provides researchers and interventionists with the opportunity to identify types of risky days and tailor behavioral modification to reduce alcohol consumption, nonadherence and risky sex on those days.
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