Religiosity, alcohol expectancies, drinking motives and their interaction in the prediction of drinking among college students.

Galen, Luke W.; Rogers, William M.

doi:10.15288/jsa.2004.65.469

Cited by 82 publications

(76 citation statements)

References 31 publications

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“…This should be investigated in future studies, but our finding does both identify another high-risk group and suggest that intervention may be strategically delivered via the workplace. Consistent with the cross-national literature (Bazargan, Sherkat, and Bazargan, 2004;Galen and Rogers, 2004;Matthew et al, 1998), religious involvement was associated with lower prevalence of hazardous use of all substances. Religion may operate as a protective factor by discouraging drinking and improving coping and social support (Koenig, 2001).…”

Section: Discussionsupporting

confidence: 85%

“…Protective factors include being married (Judd et al, 2002;Teesson, Dietrich, Degenhardt, Lynskey, and Beard, 2002), having children, and having religious involvement (Chen et al, 2004;Galen and Rogers, 2004), as well as higher education ( In this paper we examine prevalence of hazardous use of alcohol, tobacco, and other drugs among demographic subgroups, in a large, representative sample of patients using the primary care service of the public health system in Cape Town, South Africa. …”

Section: Introductionmentioning

confidence: 99%

“…In South Africa, the racial categories defined under apartheid-Black, Colored (mixed race), Indian, and White-have a long association in South Africa with access both to alcohol and to treatment (Mager, 2004). Different race groups may demonstrate different prevalence or responses to risk factors by gender (Flisher, Parry, Evans, Muller, and Lombard, 2003).Young adults who use substances may be more at risk for other health risks such as sexual risk behaviors, violence, and suicide (Flisher, Ziervogel, Chalton, Leger, and Robertson, 1996).Protective factors include being married (Judd et al, 2002;Teesson, Dietrich, Degenhardt, Lynskey, and Beard, 2002), having children, and having religious involvement (Chen et al, 2004;Galen and Rogers, 2004), as well as higher education ( In this paper we examine prevalence of hazardous use of alcohol, tobacco, and other drugs among demographic subgroups, in a large, representative sample of patients using the primary care service of the public health system in Cape Town, South Africa. …”

mentioning

confidence: 99%

“…Protective factors include being married (Judd et al, 2002;Teesson, Dietrich, Degenhardt, Lynskey, and Beard, 2002), having children, and having religious involvement (Chen et al, 2004;Galen and Rogers, 2004), as well as higher education (Judd et al; Teesson, Dietrich, Degenhardt, Lynskey, and Beard), employment (Judd et al; Teesson, Dietrich, Degenhardt, Lynskey, and Beard), higher socioeconomic status (Flisher, Parry, Evans, Muller, and Lombard, 2003;Furr-Holden and Anthony, 2003;Judd et al), manageable stressors (Goeders, 2004;Judd et al), and not feeling depressed or anxious (Brady and Sinha, 2005). Both stressors and depression or anxiety are also associated with greater use of primary care services (Zantinge, Verhaak, and Bensing, 2005;Brantley et al, 2005).…”

mentioning

confidence: 99%

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Prevalence and Correlates of Substance Use Among South African Primary Care Clinic Patients

Ward

Mertens

Flisher

et al. 2008

Substance Use & Misuse

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We aimed to assess prevalence and correlates of hazardous use of tobacco, alcohol and other drugs in a primary care population in Cape Town, South Africa. Stratified random sampling was used to select 14 of the 49 clinics in the public health sector in Cape Town, and every "nth" patient, with those ages 18-25 oversampled (N = 2,618). Data were collected from December 2003 through 2004, using the World Health Organization Alcohol, Smoking, and Substance Involvement Screening Test. Hazardous use of tobacco was most common, followed by alcohol and then other drugs. Hazardous tobacco use was associated with the 18-25 years age group, no religious involvement, high school completion, and higher stress. Hazardous alcohol use was associated with male gender, younger men, no religious involvement, employment, some high school education, and higher stress. Hazardous use of other drugs was associated with Colored (mixed) race (particularly among men), no religious involvement, employment, and stress. For all substances, women, particularly Black women, had the lowest rates of hazardous use. Although the study is cross-sectional, it does identify groups that may be at high risk of substance misuse and for whom intervention is urgent. Because prevalence of substance use is high in this population, routine screening should be introduced in primary care clinics. (Parry, 2005;Sitas et al., 2004). Cannabis and methaqualone are the most frequently identified illicit drugs in drugrelated arrests, psychiatric diagnoses, and trauma patients (Parry et al., 2002), but treatment demand for cocaine, heroin, and methamphetamine use is increasing Parry, Myers, and Plüddemann, 2004).Primary health care services provide an advantageous location for intervening in substance use (Whitlock, Polen, Green, Orleans, and Klein, 2004;Fleming et al., 2002). In South Africa, the public health sector is the main provider of primary care (Health Systems Trust, 2004), yet no data are available on prevalence of substance misuse among South African patients.Risk factors are those associated with increased likelihood of negative health behaviors or outcomes, whereas protective factors are those that are associated with increased likelihood of positive health behaviors or outcomes, or with decreased likelihood of negative health behaviors or outcomes (Kirby, 2001). Although the association with disease occurrence may not be causal, such correlates are useful for identifying high-risk groups or factors that may be usefully targeted in intervention strategies. Risk and protective factors influencing substance use have not been much studied in the developing world (De Lima, Dunn, Novo, Tomasi, and Reisser, 2003).Personal characteristics identified as risk factors may include age, race, and gender. In South Africa, the racial categories defined under apartheid-Black, Colored (mixed race), Indian, and White-have a long association in South Africa with access both to alcohol and to treatment (Mager, 2004). Different race groups may demonstrate differen...

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Section: Discussionsupporting

confidence: 85%

“…Protective factors include being married (Judd et al, 2002;Teesson, Dietrich, Degenhardt, Lynskey, and Beard, 2002), having children, and having religious involvement (Chen et al, 2004;Galen and Rogers, 2004), as well as higher education ( In this paper we examine prevalence of hazardous use of alcohol, tobacco, and other drugs among demographic subgroups, in a large, representative sample of patients using the primary care service of the public health system in Cape Town, South Africa. …”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

“…Protective factors include being married (Judd et al, 2002;Teesson, Dietrich, Degenhardt, Lynskey, and Beard, 2002), having children, and having religious involvement (Chen et al, 2004;Galen and Rogers, 2004), as well as higher education (Judd et al; Teesson, Dietrich, Degenhardt, Lynskey, and Beard), employment (Judd et al; Teesson, Dietrich, Degenhardt, Lynskey, and Beard), higher socioeconomic status (Flisher, Parry, Evans, Muller, and Lombard, 2003;Furr-Holden and Anthony, 2003;Judd et al), manageable stressors (Goeders, 2004;Judd et al), and not feeling depressed or anxious (Brady and Sinha, 2005). Both stressors and depression or anxiety are also associated with greater use of primary care services (Zantinge, Verhaak, and Bensing, 2005;Brantley et al, 2005).…”

mentioning

confidence: 99%

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Prevalence and Correlates of Substance Use Among South African Primary Care Clinic Patients

Ward

Mertens

Flisher

et al. 2008

Substance Use & Misuse

View full text Add to dashboard Cite

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“…Religious affiliation could also serve as a reference group that influences behavior, 10 and conservative religious groups have higher negative expectations (expected negative consequences of alcohol consumption) and lower drinking motives. 11 Social modeling, 12 negative beliefs about alcohol, 12 personal attitudes, 13 approval/disapproval of significant others/relatives/friends, 13,14 and alcohol use attitudes 15 are some proposed pathways for these associations. Despite investigating the individual-level mechanisms between alcohol use and religiousness, the goal of the present study is to investigate macro implications with respect to the way that religiousness shapes public support for government alcohol policies.…”

Section: Introductionmentioning

confidence: 99%

Religious beliefs and alcohol control policies: a Brazilian nationwide study

Lucchetti

Koenig

Pinsky

et al. 2013

Rev. Bras. Psiquiatr.

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Objective: The connection between lower alcohol use and religiousness has been extensively examined. Nevertheless, few studies have assessed how religion and religiousness influence public policies. The present study seeks to understand the influence of religious beliefs on attitudes toward alcohol use. Methods: A door-to-door, nationwide, multistage population-based survey was carried out. Selfreported religiousness, religious attendance, and attitudes toward use of alcohol policies (such as approval of public health interventions, attitudes about drinking and driving, and attitudes toward other alcohol problems and their harmful effects) were examined. Multiple logistic regression was used to control for confounders and to assess explanatory variables. Results: The sample was composed of 3,007 participants; 57.3% were female and mean age was 35.7 years. Religiousness was generally associated with more negative attitudes toward alcohol, such as limiting hours of sale (p , 0.01), not having alcohol available in corner shops (p , 0.01), prohibiting alcohol advertisements on TV (p , 0.01), raising the legal drinking age (p , 0.01), and raising taxes on alcohol (p , 0.05). Higher religious attendance was associated with less alcohol problems (OR: 0.61, 95%CI 0.40-0.91, p = 0.017), and self-reported religiousness was associated with less harmful effects of drinking (OR: 0.61, 95%CI 0.43-0.88, p = 0.009). Conclusions: Those with high levels of religiousness support more restrictive alcohol policies. These findings corroborate previous studies showing that religious people consume less alcohol and have fewer alcohol-related problems.

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Parentification and Alcohol Use: Conditional Effects of Religious Service Attendance

Jankowski

Hooper

2014

Counseling and Values

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This study tested a model of the relation between parentification and alcohol use through differentiation of self (DoS), with religious service attendance as a moderator. Results provided mixed support for the model. Perceived unfair parentification was associated with decreased DoS, and lowered DoS corresponded to increased alcohol use. Religious service attendance moderated the association between increased perceived unfairness and increased alcohol use. Implications for practice focused on assessing perceived unfairness and integrating clients' religiousness.

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Religiosity, alcohol expectancies, drinking motives and their interaction in the prediction of drinking among college students.

Cited by 82 publications

References 31 publications

Prevalence and Correlates of Substance Use Among South African Primary Care Clinic Patients

Prevalence and Correlates of Substance Use Among South African Primary Care Clinic Patients

Religious beliefs and alcohol control policies: a Brazilian nationwide study

Parentification and Alcohol Use: Conditional Effects of Religious Service Attendance

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