Pryjmachuk Steven, Richards David A
School of Nursing, Midwifery & Social Work, The University of Manchester, UK.
Br J Health Psychol. 2007 Feb;12(Pt 1):125-44. doi: 10.1348/135910706X98524.
To determine which variables from a pool of potential predictors predict General Health Questionnaire 'caseness' in pre-registration nursing students.
Cross-sectional survey, utilizing self-report measures of sources of stress, stress (psychological distress) and coping, together with pertinent demographic measures such as sex, ethnicity, educational programme and nursing specialty being pursued, and age, social class and highest qualifications on entry to the programme.
Questionnaire packs were distributed to all pre-registration nursing students (N=1,362) in a large English university. Completed packs were coded, entered into statistical software and subjected to a series of logistic regression analyses.
Of the questionnaire packs 1,005 (74%) were returned, of which up to 973 were available for the regression analyses undertaken. Four logistic regression models were considered and, on the principle of parsimony, a single model was chosen for discussion. This model suggested that the key predictors of caseness in the population studied were self-report of pressure, whether or not respondents had children (specifically, whether these children were pre-school or school-age), scores on a 'personal problems' scale and the type of coping employed. The overall caseness rate among the population was around one-third.
Since self-report and personal, rather than academic, concerns predict stress, personal teachers need to play a key role in supporting students through 'active listening', especially when students self-report high levels of stress and where personal/social problems are evident. The work-life balance of students, especially those with child-care responsibilities, should be a central tenet in curriculum design in nurse education (and, indeed, the education of other professional and occupational groups). There may be some benefit in offering stress management (coping skills) training to nursing students and, indeed, students of other disciplines.
确定一系列潜在预测变量中的哪些变量能够预测预注册护理专业学生的一般健康问卷“病例状态”。
横断面调查,采用自我报告的压力源、压力(心理困扰)和应对方式的测量方法,以及相关的人口统计学测量指标,如性别、种族、教育项目、所攻读的护理专业,以及入学时的年龄、社会阶层和最高学历。
向一所大型英国大学的所有预注册护理专业学生(N = 1362)发放问卷包。对填好的问卷包进行编码,录入统计软件,并进行一系列逻辑回归分析。
共收回1005份问卷包(74%),其中多达973份可用于进行回归分析。考虑了四个逻辑回归模型,并根据简约原则选择了一个单一模型进行讨论。该模型表明,在所研究的人群中,病例状态的关键预测因素是压力的自我报告、受访者是否有孩子(特别是这些孩子是学龄前还是学龄儿童)、“个人问题”量表得分以及所采用的应对方式类型。总体人群中的病例状态率约为三分之一。
由于自我报告和个人而非学业方面的担忧能预测压力,个人导师需要通过“积极倾听”在支持学生方面发挥关键作用,特别是当学生自我报告压力水平较高且个人/社会问题明显时。学生的工作与生活平衡,尤其是那些有育儿责任的学生,应成为护理教育(实际上,其他专业和职业群体的教育)课程设计的核心原则。为护理专业学生乃至其他学科的学生提供压力管理(应对技能)培训可能会有一些益处。