2013
DOI: 10.15288/jsad.2013.74.841
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Mental Health, Sleep Quality, Drinking Motives, and Alcohol-Related Consequences: A Path-Analytic Model

Abstract: ABSTRACT. Objective: Poor mental health, sleep problems, drinking motivations, and high-risk drinking are prevalent among college students. However, research designed to explicate the interrelationships among these health risk behaviors is lacking. This study was designed to assess the direct and indirect infl uences of poor mental health (a latent factor consisting of depression, anxiety, and stress) to alcohol use and alcohol-related consequences through the mediators of global sleep quality and drinking mot… Show more

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citations
Cited by 92 publications
(77 citation statements)
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References 117 publications
(132 reference statements)
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“…Moreover, students who consume more alcohol and engage in more frequent heavy drinking are at higher risk for experiencing alcohol-related consequences (e.g., academic or relationship difficulties) that may lead to MDD. Heavy alcohol use may lead to difficulties with sleep (Chan et al, 2015) that, in turn, may lead to depression (Hershner & Chervin, 2014;Kenney, 2013). The gender effect of MDD on pBAC may be the result of women female students and found that during a heavy drinking episode, 22.9% of those with MDD relative to 16.5% of those without MDD had pBAC higher than .08 g/dl (considered the legal limit to drive in many U.S. states) and that 7.5% of those with MDD relative to 4% of those without MDD had a pBAC higher than .13 g/dl (corresponding to significant impairment).…”
Section: Discussionmentioning
confidence: 99%
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“…Moreover, students who consume more alcohol and engage in more frequent heavy drinking are at higher risk for experiencing alcohol-related consequences (e.g., academic or relationship difficulties) that may lead to MDD. Heavy alcohol use may lead to difficulties with sleep (Chan et al, 2015) that, in turn, may lead to depression (Hershner & Chervin, 2014;Kenney, 2013). The gender effect of MDD on pBAC may be the result of women female students and found that during a heavy drinking episode, 22.9% of those with MDD relative to 16.5% of those without MDD had pBAC higher than .08 g/dl (considered the legal limit to drive in many U.S. states) and that 7.5% of those with MDD relative to 4% of those without MDD had a pBAC higher than .13 g/dl (corresponding to significant impairment).…”
Section: Discussionmentioning
confidence: 99%
“…Findings regarding the association between nonclinical depressive symptoms and alcohol use are also mixed. Among college students, depressive symptoms have been found to be associated with ever engaging in HED (Valentiner et al, 2004), problematic alcohol use (Dvorak et al, 2013), and higher daily alcohol use (Pedrelli et al, 2011) but not with past-month drinking days (Lamis et al, 2010), drinks per month (Gonzalez et al, 2011), weekly drinks (Kenney et al, 2013), and frequent heavy drinking (Lamis et al, 2010;Vickers et al, 2004).…”
mentioning
confidence: 99%
“…For each day, participants entered an open-ended quantitative response regarding the number of alcoholic beverages consumed. Items were based on a variant of the Daily Drinking Questionnaire (Collins, Parks, and Marlatt 1985), an inventory shown to exhibit adequate test-retest reliability (Neighbors, Dillard, Lewis, Bergstrom, and Neil 2006) and criterion validity (Kenney, Lac, Labrie, Hummer, and Pham 2013; Napper, Kenney, Lac, Lewis, and LaBrie 2014). …”
Section: Study 1: Item Response Theorymentioning
confidence: 99%
“…[21][22][23] In general population, not only in alcoholic individuals, alcohol is usually taken to reduce stress. Chronic alcohol drinking can alter circadian functions, which are highly related to the stress response system.…”
Section: Discussionmentioning
confidence: 99%
“…Basal echocardiographic and spirometric parameters were normal and remained so after acute alcohol intake, whereas ACTH, cortisol, and NT-pro-BNP nonsignificantly increased in all phases of the test. CPET data suggested a trend toward a slight reduction of exercise performance (peak VO 2 23.3 W 2.9, ns). Ventilatory equivalent for carbon dioxide at rest was higher after alcohol intake (28 W 2.5 vs. 30.4 W 3.2, P U 0.039) and maximal respiratory exchange ratio was lower after alcohol intake (1.17 W 0.02 vs. 1.14 W 0.04, P U 0.04).…”
mentioning
confidence: 94%