{"title":"预测未成年人饮酒对伴随性酒精使用障碍和受教育程度低的影响","authors":"Euchay Ngozi Horsman","doi":"10.51734/crdr.v1i1.30","DOIUrl":null,"url":null,"abstract":"This study examined whether and how underage drinking (UD) relates with concomitant alcohol use disorder and poor educational attainment (CAUDAPEA). A total of 39,860 participants (25-75 years old), roughly 59% of the 2010 National Survey of Drug Use and Health (NSDUH) sample, were drawn for the study. Correlation and regression analyses were used to address the research question. Demographic characteristics of respondents were analyzed using t-test or Chi-square statistics. Alpha was set at .05 to determine statistical significance. Underage drinking alone was a strong and statistically significant predictor of CAUDAPEA. The simple binary logistic regression model identified was statistically significant: (chi-square = 24.19, df =1, p < \n.05), (Cox and Snell R2 = 0.001), and (Nagelkerke R2 = 0.015), which suggests that using the Nagelkerke R2, the model explains roughly 1.5% of the variation in CAUDAPEA. The regression coefficient and the Wald statistic show that the effect of having underage drinking history (UDHISTORY) on CAUDAPEA is highly significant (Wald F = 14.44, df = 1, p < .05) with odds ratio = 4.86 indicating that currently legal age drinkers with UDHISTORY were about five times more likely to experience CAUDAPEA than their counterparts without UDHISTORY. When demographic variables (age, gender, race/ethnicity) were added to the model, the identified final multiple logistic regression model was statistically significant, (chi-square = 132.33, df = 10, p < .05), (Cox and Snell R2 = 0.008), and (Nagelkerke R2 = 0.079) which suggests that using the Nagelkerke R2, the model explains roughly 7.9% of the variance in CAUDAPEA, an improvement over the model with UDHISTORY alone. Results suggest different ways of looking at relationships between underage drinking, alcohol use disorder, and educational attainment. Implications for rehabilitation and prevention are discussed. \n \nKeywords: underage drinking, alcohol use disorder, poor educational attainment, concomitance","PeriodicalId":101649,"journal":{"name":"Contemporary Research in Disability and Rehabilitation","volume":"128 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Predicting the Effects of Underage Drinking on Concomitant Alcohol Use Disorder and Poor Educational Attainment\",\"authors\":\"Euchay Ngozi Horsman\",\"doi\":\"10.51734/crdr.v1i1.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examined whether and how underage drinking (UD) relates with concomitant alcohol use disorder and poor educational attainment (CAUDAPEA). A total of 39,860 participants (25-75 years old), roughly 59% of the 2010 National Survey of Drug Use and Health (NSDUH) sample, were drawn for the study. Correlation and regression analyses were used to address the research question. Demographic characteristics of respondents were analyzed using t-test or Chi-square statistics. Alpha was set at .05 to determine statistical significance. Underage drinking alone was a strong and statistically significant predictor of CAUDAPEA. The simple binary logistic regression model identified was statistically significant: (chi-square = 24.19, df =1, p < \\n.05), (Cox and Snell R2 = 0.001), and (Nagelkerke R2 = 0.015), which suggests that using the Nagelkerke R2, the model explains roughly 1.5% of the variation in CAUDAPEA. The regression coefficient and the Wald statistic show that the effect of having underage drinking history (UDHISTORY) on CAUDAPEA is highly significant (Wald F = 14.44, df = 1, p < .05) with odds ratio = 4.86 indicating that currently legal age drinkers with UDHISTORY were about five times more likely to experience CAUDAPEA than their counterparts without UDHISTORY. When demographic variables (age, gender, race/ethnicity) were added to the model, the identified final multiple logistic regression model was statistically significant, (chi-square = 132.33, df = 10, p < .05), (Cox and Snell R2 = 0.008), and (Nagelkerke R2 = 0.079) which suggests that using the Nagelkerke R2, the model explains roughly 7.9% of the variance in CAUDAPEA, an improvement over the model with UDHISTORY alone. Results suggest different ways of looking at relationships between underage drinking, alcohol use disorder, and educational attainment. 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引用次数: 1
摘要
这项研究调查了未成年人饮酒(UD)是否以及如何与伴随的酒精使用障碍和教育程度低(CAUDAPEA)相关。共有39,860名参与者(25-75岁),约占2010年全国药物使用与健康调查(NSDUH)样本的59%。采用相关分析和回归分析来解决研究问题。调查对象的人口学特征采用t检验或卡方统计进行分析。Alpha值设为0.05以确定统计学显著性。未成年人饮酒是CAUDAPEA的一个强有力且具有统计学意义的预测因子。确定的简单二元logistic回归模型具有统计学意义:(chi-square = 24.19, df =1, p < 0.05), (Cox和Snell R2 = 0.001)和(Nagelkerke R2 = 0.015),这表明使用Nagelkerke R2模型可以解释大约1.5%的CAUDAPEA变异。回归系数和Wald统计结果显示,有未成年饮酒史(UDHISTORY)对CAUDAPEA的影响非常显著(Wald F = 14.44, df = 1, p < 0.05),比值比= 4.86,表明目前法定年龄有UDHISTORY的饮酒者发生CAUDAPEA的可能性是没有UDHISTORY的饮酒者的5倍左右。当将人口统计学变量(年龄、性别、种族/民族)加入模型时,确定的最终多元逻辑回归模型具有统计学意义,(卡方= 132.33,df = 10, p < 0.05), (Cox和Snell R2 = 0.008)和(Nagelkerke R2 = 0.079),这表明使用Nagelkerke R2,该模型解释了大约7.9%的CAUDAPEA方差,比单独使用UDHISTORY的模型有所改进。研究结果表明,研究未成年人饮酒、酒精使用障碍和受教育程度之间关系的方法不同。讨论了对康复和预防的影响。关键词:未成年人饮酒;酒精使用障碍;文化程度低
Predicting the Effects of Underage Drinking on Concomitant Alcohol Use Disorder and Poor Educational Attainment
This study examined whether and how underage drinking (UD) relates with concomitant alcohol use disorder and poor educational attainment (CAUDAPEA). A total of 39,860 participants (25-75 years old), roughly 59% of the 2010 National Survey of Drug Use and Health (NSDUH) sample, were drawn for the study. Correlation and regression analyses were used to address the research question. Demographic characteristics of respondents were analyzed using t-test or Chi-square statistics. Alpha was set at .05 to determine statistical significance. Underage drinking alone was a strong and statistically significant predictor of CAUDAPEA. The simple binary logistic regression model identified was statistically significant: (chi-square = 24.19, df =1, p <
.05), (Cox and Snell R2 = 0.001), and (Nagelkerke R2 = 0.015), which suggests that using the Nagelkerke R2, the model explains roughly 1.5% of the variation in CAUDAPEA. The regression coefficient and the Wald statistic show that the effect of having underage drinking history (UDHISTORY) on CAUDAPEA is highly significant (Wald F = 14.44, df = 1, p < .05) with odds ratio = 4.86 indicating that currently legal age drinkers with UDHISTORY were about five times more likely to experience CAUDAPEA than their counterparts without UDHISTORY. When demographic variables (age, gender, race/ethnicity) were added to the model, the identified final multiple logistic regression model was statistically significant, (chi-square = 132.33, df = 10, p < .05), (Cox and Snell R2 = 0.008), and (Nagelkerke R2 = 0.079) which suggests that using the Nagelkerke R2, the model explains roughly 7.9% of the variance in CAUDAPEA, an improvement over the model with UDHISTORY alone. Results suggest different ways of looking at relationships between underage drinking, alcohol use disorder, and educational attainment. Implications for rehabilitation and prevention are discussed.
Keywords: underage drinking, alcohol use disorder, poor educational attainment, concomitance