Chabrol H, Mabila J D, Chauchard E, Mantoulan R, Rousseau A
Centre d'études et de recherches en psychopathologie, université de Toulouse-Le-Mirail, 21, rue d'Alsace-Lorraine, 31000 Toulouse, France.
Encephale. 2008 Jan;34(1):8-16. doi: 10.1016/j.encep.2007.01.002. Epub 2007 Sep 4.
The aim of the study was to evaluate the relative contributions of peers and parental influences and adolescents' own beliefs about use, in the prediction of cannabis use.
Participants were 559 high-school and secondary school students (275 girls, mean age=15.4+/-1; 274 boys, mean age=15.5+/-0.9) who completed questionnaires assessing cannabis use frequency, the number of peers using cannabis, the number of peers opposed to cannabis use, parental attitude toward cannabis use, parental present or past cannabis use and participants' expectations toward use. Parents' opinion of cannabis use was assessed using a ten-point scale ranging from zero (highly opposed to cannabis use) to 10 (highly in favour of cannabis use). The participants' opinion of cannabis use was assessed using a self-report questionnaire which was generated from a preliminary qualitative study on a convenient sample of ten adolescents who agreed to participate in a semistructured interview assessing their perceptions of the effects of cannabis use. Interviewers drew up a list of all the reported perceptions. One rater eliminated redundant responses and combined similar instances into more general terms. Responses were reworded concisely to be appropriate for a close-ended questionnaire. The final questionnaire consisted of 29 items. Items were scored on a 7-point Likert scale, ranging from 1=disagree strongly to 7=agree strongly.
In the total sample (n=559), 22% of girls (n=61) and 28% of boys (n=76) reported having used cannabis once during the last six months (p=0.05); 4% of girls and 9% of boys used cannabis at least 3-4 times per week; water pipe or bong was used by 31% of boys and 28% of girls used cannabis. Cannabis users reported that 49% of their fathers were using or had used cannabis versus 10% of non-users. Cannabis users reported that 39% of their mothers were using or had used cannabis versus 22% of non-users. An exploratory factorial analysis of the cannabis use expectations questionnaire was conducted. The eigenvalue curve suggested either a two-factor solution explaining 46% of the variance. These factors were called 'positive expectancies' (eigenvalue=9.0; explained variance=29%, Cronbach's alpha=0.86) and 'negative expectancies' (eigenvalue=4.0; explained variance=17%; Cronbach's alpha=0.93). The correlation of factors was negative and moderate (Pearson's r=-0.29). Cannabis users were characterised by a higher number of peers using cannabis, a lower number of peers opposed to use, a lower level of negative opinion of parents, a higher level of positive expectancies and a lower level of negative expectancies. It is to be noted that both users and non-users tended to perceive their parents as highly opposed to use. A logistic regression analysis predicting cannabis use versus non-use was performed entering sex, the number of peers opposed to cannabis use, the number of peers using cannabis, the opinion of parents, parental present or past cannabis use and positive and negative expectations factor scores. A test of the full model with all predictors against a constant-only model was statistically reliable: the predictors reliably distinguished between users and non-users (chi(2) (8)=153.9; p<0.0001). The variance in cannabis use accounted for was high, with McFadden rho(2)=0.39. Prediction success was satisfactory, with 94% of non-users and 59% of users correctly predicted. The number of peers opposed to cannabis use (B=-0.08; t-ratio=3.9; p=0.04), the number of peers using cannabis (B=0.06; t-ratio=7.9, p=0.01), the positive expectations score (B=0.94; t-ratio=26.6; p<0.0001) and negative expectations scores (B=-0.50; t-ratio=11.8; p=0.0006) and father's present or past cannabis use (B=1.17; t-ratio=8.2; p=0.004) were significant independent predictors of cannabis use. These results indicated that the higher the number of peers using cannabis and the positive expectations, the higher the risk for initiation of cannabis use. The regression coefficient of the number of peers opposed to cannabis use and of the negative expectations score were negative. These results indicated that the less the number of peers opposed to cannabis use and the lower the negative expectations, the higher the risk for initiation of use. Parental attitudes toward use and mother's present or past cannabis use were not significant independent predictors of use.
As our sample was non-clinical, a first limitation of our findings is that they may not be transposable to patient populations. Another limitation of our study is linked to its cross-sectional design, which prevents the attribution of causal explanations for the associations found. One of the study's strengths is that it assesses potentially important variables not evaluated in previous studies, such as the number of peers opposed to cannabis use and positive and negative expectations of use. The results of the present study suggested that the number of peers using cannabis, father's present or past cannabis use and participants' positive expectations of cannabis use were risk factors for use, whereas the number of peers opposed to cannabis use and the negative expectations of use were protective factors. Parental attitudes toward use did not appear to influence adolescents' cannabis use. In conclusion, our results may have some implications for prevention interventions. They add weight to the view that normalisation of non-use by peers facilitates abstinence. The absence of influence of parental attitudes toward use suggests that parental disapproval of use is not effective in preventing use, whereas the example of father's use or non-use influences adolescent use. The quite low correlation between positive and negative expectancies suggests that prevention interventions presenting information concerning the effects of cannabis use should focus on both reducing positive expectancies and enhancing negative expectancies.
本研究旨在评估同龄人、父母的影响以及青少年自身对大麻使用的看法在预测大麻使用方面的相对作用。
研究对象为559名高中生(275名女生,平均年龄 = 15.4 ± 1岁;274名男生,平均年龄 = 15.5 ± 0.9岁),他们完成了问卷调查,内容包括大麻使用频率、使用大麻的同龄人数、反对使用大麻的同龄人数、父母对大麻使用的态度、父母目前或过去是否使用过大麻以及参与者对使用大麻的期望。父母对大麻使用的看法采用10分制进行评估,从0分(强烈反对使用大麻)到10分(强烈支持使用大麻)。参与者对大麻使用的看法通过一份自填式问卷进行评估,该问卷基于对10名同意参与半结构化访谈以评估其对大麻使用影响看法的青少年便利样本进行的初步定性研究编制。访谈者列出了所有报告的看法。一名评分者剔除了冗余回答,并将相似情况合并为更通用的表述。回答被精简改写以适合封闭式问卷。最终问卷由29个项目组成。项目采用7点李克特量表评分,从1分(强烈不同意)到7分(强烈同意)。
在总样本(n = 559)中,22%的女生(n = 61)和28%的男生(n = 76)报告在过去六个月内曾使用过大麻一次(p = 0.05);4%的女生和9%的男生每周至少使用大麻3 - 4次;31%的男生使用过水烟筒或水烟枪,28%的女生使用过大麻。大麻使用者报告称,其父亲中有49%正在使用或曾经使用过大麻,而非使用者中这一比例为10%。大麻使用者报告称,其母亲中有39%正在使用或曾经使用过大麻,而非使用者中这一比例为22%。对大麻使用期望问卷进行了探索性因子分析。特征值曲线表明采用双因子解决方案可解释46%的方差。这些因子被称为“积极期望”(特征值 = 9.0;解释方差 = 29%,克朗巴哈系数 = 0.86)和“消极期望”(特征值 = 4.0;解释方差 = 17%;克朗巴哈系数 = 0.93)。因子之间的相关性为负且中等(皮尔逊r = -0.29)。大麻使用者的特征是使用大麻的同龄人数较多、反对使用的同龄人数较少、对父母的负面看法较低、积极期望水平较高且消极期望水平较低。需要注意的是,使用者和非使用者都倾向于认为他们的父母强烈反对使用大麻。进行了一项逻辑回归分析,以预测大麻使用与非使用情况,纳入了性别、反对使用大麻的同龄人数、使用大麻的同龄人数、父母的看法、父母目前或过去是否使用过大麻以及积极和消极期望因子得分。对包含所有预测变量的完整模型与仅含常数的模型进行检验,结果具有统计学可靠性:预测变量能够可靠地区分使用者和非使用者(卡方(2) (8) = 153.9;p < 0.0001)。大麻使用的方差解释率较高,麦克法登ρ(平方) = 0.39。预测成功率令人满意,94%的非使用者和59%的使用者被正确预测。反对使用大麻的同龄人数(B = -0.08;t值 = 3.9;p = 0.04)、使用大麻的同龄人数(B = 0.06;t值 = 7.9,p = 0.01)、积极期望得分(B = 0.94;t值 = 26.6;p < 0.0001)、消极期望得分(B = -0.50;t值 = 11.8;p = 0.0006)以及父亲目前或过去是否使用过大麻(B = 1.17;t值 = 8.2;p = 0.004)是大麻使用的显著独立预测因子。这些结果表明,使用大麻的同龄人数越多以及积极期望越高,开始使用大麻的风险就越高。反对使用大麻的同龄人数和消极期望得分的回归系数为负。这些结果表明,反对使用大麻的同龄人数越少以及消极期望越低,开始使用大麻的风险就越高。父母对使用的态度以及母亲目前或过去是否使用过大麻并非使用的显著独立预测因子。
由于我们的样本是非临床样本,我们研究结果的一个首要局限性在于它们可能不适用于患者群体。我们研究的另一个局限性与其横断面设计有关,这使得无法对所发现的关联进行因果解释。该研究的优势之一在于它评估了先前研究未涉及的潜在重要变量,如反对使用大麻的同龄人数以及对使用的积极和消极期望。本研究结果表明,使用大麻的同龄人数、父亲目前或过去是否使用过大麻以及参与者对大麻使用的积极期望是使用大麻的风险因素,而反对使用大麻的同龄人数和对使用的消极期望是保护因素。父母对使用的态度似乎并未影响青少年对大麻的使用。总之,我们的结果可能对预防干预有一定启示。它们进一步支持了这样一种观点,即同龄人对不使用大麻的常态化有助于戒除大麻。父母对使用的态度缺乏影响表明,父母对使用的不赞成在预防使用方面并不有效,而父亲使用或不使用大麻的例子会影响青少年的使用。积极和消极期望之间相当低的相关性表明,提供有关大麻使用影响信息的预防干预应同时注重降低积极期望和增强消极期望。