一个新的统计模型用于大学生群体中饮酒暴饮模式的分类.
Judith André1, Momar Diouf2, Margaret P Martinetti1,3
1INSERM UMR 1247, Groupe de Recherche sur l'alcool et les Pharmacodépendances, GRAP, Université Picardie Jules Verne, Amiens, France.
Frontiers in psychology
|August 2, 2023
概括
这项研究确定了四个不同的学生饮酒群体,从低风险到高强度狂饮 (BD). 一个新的模型有助于评估大学生BD的严重程度和后果.
科学领域:
- 酒精消费研究 酒精消费研究
- 行为经济学是一种行为经济学.
- 公共卫生 公共卫生
背景情况:
- 过度饮酒 (BD) 是学生中普遍存在的和相应的酒精消费模式.
- 定义和描述 BD 模式在科学研究中是一个重大挑战.
- 现有的方法可能无法完全捕捉各种学生群体中BD的细微差别.
研究的目的:
- 在学生群体中确定同质的饮酒群体.
- 开发一种新的模型来评估BD的严重程度.
- 创建一个独立于性别的工具来评估BD严重程度及其相关因素.
主要方法:
- 采用K-means集群算法来识别不同的饮酒概况.
- 使用部分比例赔率模型 (PPOM) 估计组概率.
- 使用两个独立的法国大学生样本 (N=3,630人) 验证的结果.
主要成果:
- 确定了四个同质的饮酒群体:低风险,危险,狂饮和高强度BD.
- PPOM成功地为属于这些群体的个人分配了概率.
- 在四个组的消费后果和行为经济需求指数中观察到显著差异.
结论:
- 开发的模型为饮酒模式和后果提供了一个渐进的严重程度等级.
- 这种方法提供了一种精细的方法,用于在大学生样本中表征BD.
- 饮酒频率和醉酒程度被确定为BD模型中的关键特征.
关键词:
酒精 酒精 酒精 酒精 酒精 酒精 酒精 酒精过度饮酒过度饮酒过度饮酒过度饮酒分类工具是一种分类工具.大学生,大学生,学生.醉酒,醉酒,醉酒,醉酒,醉酒,醉酒,醉酒,醉酒,醉酒,醉酒,醉酒,醉酒,醉酒.性别 性别 性别 性别 性别高强度暴饮暴饮的饮酒.更多相关视频
07:31Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
Published on: January 7, 2019
8.0K
05:40The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
Published on: April 28, 2022
3.1K
相关概念视频
Hypothesis Test for Test of Independence
3.6K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
3.6K
Cross-Sectional Research
11.4K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.4K
Determination of Expected Frequency
2.2K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.2K
Introduction to Test of Independence
2.3K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
2.3K
Binge Eating Disorders
145
Binge eating disorder is a significant mental health condition characterized by recurrent episodes of excessive food consumption within a short period, accompanied by a perceived loss of control over eating behavior. Unlike occasional overeating, binge eating disorder is marked by distressing emotions such as guilt, shame, and anxiety following binge episodes. The disorder affects individuals across different ages and backgrounds, with profound implications for physical and psychological...
145
Multiple Bar Graph
5.3K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
5.3K
