大学生一般自我效能感与防御方式的相关研究

目的 探讨大学生一般自我效能感与防御方式之间的关系。方法 采用“一般自我效能感量表”及“防御方式问卷”，对390名大学生的一般自我效能感和防御方式进行了测量。结果 大学生一般自我效能感性别差异非常显著（P〈0．01），而城乡差异不显著（P〉0．05）；大学生防御方式的性别差异显著（P〈0．05），而城乡差异不显著（P〉0．05）；大学生的一般自我效能感与防御方式有显著相关。结论 一般自我效能感是影响大学生防御方式的重要因素。     

电脑控制连续式料位仪的研制

论述了电脑控制连续式料位仪的原理及性能，研制了一种先进可靠的物料料位测量工具。     

抑郁障碍患者人格特征与发病关系的研究

目的探讨抑郁障碍患者的人格特征与其疾病发病间的关系。方法采用自评抑郁量表(SDS)、艾森克人格问卷 (EPQ)、应对方式评定量表 (WCRS)和归因方式问卷 (ASQ)对 76名抑郁障碍患者进行测试 ,同时选取 84名健康被试进行对照研究。结果①抑郁组患者在EPQ中神经质 (N)与精神质 (P)的得分显著高于健康组。②WCRS的结果显示在“宣泄接纳”、“退避调节”两个因子上 ,抑郁组的平均得分低于健康组。③在ASQ的得分中 ,抑郁组在负性事件归因的自身性、持久性和整体性均显著高于健康组。④抑郁障碍患者的“神经质”人格特质与应对方式的“宣泄接纳”和“退避调节”因子呈负相关 (r = 0 .474)。结论抑郁障碍患者的人格特征可表现为较强的神经质及孤僻、交往障碍 ,他们这种人格特征及应对和归因方式在其发病过程中起着重要作用。     

西雅图心绞痛调查量表对冠心病患者机体功能及生活质量的评估研究

目的对冠心病患者机体功能状态及生活质量进行评估。方法采用Ｓｐｅｔｕｓ等设计的ＳｅａｔｔｌｅＡｎｇｉｎａＱｕｅｓｔｉｏｎｎａｉｒｅ问卷对１００例冠心病患者躯体活动受限程度、心绞痛稳定状态及发作情况、治疗满意程度和疾病认识程度进行测评研究。结果重复测定显示该量表有良好的重复性，心理疗法配合药物治疗组的评分明显优于单纯药物治疗组（Ｐ＜０．０５）。结论该量表用于我国冠心病患者有较满意的信度，同时也证实了心理疗法在冠心病治疗中的重要地位。     

Life satisfaction in patients with chest pain subsequently diagnosed as coronary heart disease – connection through depressive symptoms?

The aim of this study was to investigate factors associated with life dissatisfaction in symptomatic patients (n = 144) with chest pain subsequently diagnosed as coronary heart disease (CHD) by coronary angiography. Life dissatisfaction was assessed with a four-item life satisfaction scale (LS), depression with the 21-item Beck Depression Inventory (BDI) and other psychiatric symptoms with the symptom check list (SCL). DSM-III-R Axis I and Axis II psychiatric diagnoses were performed by means of the Structured Clinical Interview. All assessments took place one day before angiography. Twenty-four per cent of CHD patients were dissatisfied with their lives. Life dissatisfaction was associated with being unmarried. Dissatisfied patients had Axis I mental disorders and Axis II personality disorders more frequently than others. Psychiatric and depressive symptoms according to the SCL and BDI, respectively, were also higher among dissatisfied patients. In multiple logistic regression analyses, mental disorders were related to life dissatisfaction when age, sex, employment status, New York Heart Association class, duration of chest pain symptoms and work load were controlled in the model. Married subjects had a lower probability of being dissatisfied with their lives than other subjects (Odds Ratio, OR: 0.23). When BDI scores were included in the model, the only factor independently associated with life dissatisfaction was the severity of depressive symptoms (OR: 1.81). To conclude, life dissatisfaction is not primarily determined by the severity of CHD but by the existence of depressive symptoms.     

The Relative Contribution of Domains of Quality of Life to Overall Quality of Life for Different Chronic Diseases

This study examined the contribution of the quality of life (QoL) domains physical, social and psychological functioning to the explanation of overall QoL. Various disorders may differentially affect QoL domains due to disease-specific factors and, consequently, the relationship between QoL domains and overall QoL may vary between diseases. We therefore studied this relationship for several diseases as well as the differential impact of these diseases on QoL. The present study had a cross-sectional design. We selected patients (aged 57 years and older) with one of the following eight chronic medical conditions: lung disorder, heart condition, hypertension, diabetes mellitus, back problems, rheumatoid arthritis, migraine, or dermatological disorders. The total group of respondents included 1457 patients and 1851 healthy subjects. Regression analyses showed that the domain of psychological functioning contributed to overall QoL for all disorders, whereas physical and social functioning contributed to overall QoL for some disorders. Differences were found between most patient groups and healthy subjects with respect to physical functioning; with respect to social and psychological functioning some groups differed from the healthy group. Explanations for the findings and implications for clinical practice are discussed.     

应激相关因素对护士生活质量作用模型的理论构建和结构方程分析

目的应用结构方程分析研究应激相关因素对护士生活质量的影响机制。方法通过随机抽样,采用生活质量综合评定问卷、压力反应问卷、生活事件量表、特质应对方式问卷、领悟社会支持量表、艾森克人格问卷对405名护士进行调查,并应用结构方程分析方法对其作用机制进行探索。结果在5个理论可行的竞争模型中获取了最佳模型(CMINDF2.344;GFI0.928;AGFI0.891;CFI0.945;RMSEA0.060),即应激相关5因素(压力反应、生活事件、社会支持、应对方式和个性特征)中除应对方式外均能直接影响生活质量,而应对方式则以其他应激相关因素为中介对生活质量产生间接影响,这5个因素均可互为中介对护士生活质量产生间接作用。结论结构方程分析方法证实应激对护士生活质量的影响是一个交叉作用系统,在干预应激对护士生活质量的影响时应综合运用直接和间接方法。     

口腔医学专业学生认知风格与口腔正畸学学习成绩关系的研究

目的提出对学习策略和教学方式的改进建议。方法测试口腔医学生的场依存/独立认知风格,并用统计学方法分析其与口腔正畸学学习成绩的关系。结果①场独立认知风格是口腔医学专业学生认知风格的主体;②不同性别口腔医学专业学生的场依存/独立认知风格无显著性差异;③学生场依存/独立认知风格与口腔正畸学理论考试成绩有负相关倾向,与口腔正畸学实习操作成绩有正相关倾向。结论学习策略和教学方式因受认知风格的影响而制约学生学习的效果。     

Development of a Novel Scale to Assess Life Fulfilment as Part of the Further Refinement of a Quality-of-Life Model for Epilepsy

Summary: We have been involved in developing a health-related quality-of-life model for use as an outcome measure in epilepsy. As part of the further development of this model, we have developed a measure of life fulfilment. This scale is based on methods previously described by Krupinski in 1980. The value of Krupinski's approach is the opportunity for patients to weight the numerous aspects of their quality of life and assess the discrepancy between their actual and desired circumstances. The life fulfilment scale has been shown to be reliable (α= 0.7) and valid. The scale is currently being applied to several clinical studies in epilepsy. We believe that the scale provides a valuable contribution to our health-related quality-of-life model.     

Is the apparent U-shape of well-being over the life course a result of inappropriate use of control variables? A commentary on Blanchflower and Oswald (66: 8, 2008, 1733–1749)

In their article in this journal “Is well-being U-shaped over the life cycle?” Blanchflower and Oswald (Blanchflower, D.G., & Oswald, A.J. (2008). Is well-being U-shaped over the life cycle? Social Science & Medicine, 66, 1733–1749) report the results of an ambitious cross-national study of age and well-being and conclude that in most societies studied the well-being of adults tends to be high in young adulthood and old age and lowest around age 40. I argue that the appearance of this U-shaped curve of well-being is the result of the use of inappropriate and questionable control variables. The most clearly inappropriate control variable is marital status, the control of which to a large extent accounts for the U-shaped curve. Most researchers who have studied the relationship between being married and being happy believe that happiness affects marital status (happier people are more likely to marry and stay married), and of course a variable that is affected by the dependent variable should not be included as a control variable in a simple recursive model. Such control variables as income and education are suspect because the relationship between them and well-being is likely to be partially spurious, and such variables as race and whether or not persons lived with both parents at age 16 should not be controlled, because they cannot affect or be affected by age. Finally, year of survey should not be controlled because of the age-period-cohort conundrum, which makes including age, period, and cohort all as predictor variables in a regression inappropriate (and impossible if the three variables are measured precisely and comparably). The only clearly appropriate control variable is birth cohort, and when only it is controlled, the regression data become estimates of how the well-being of persons has actually changed as they have gone through the life course. I argue that such estimates are much more useful than the counterfactual abstractions provided by Blanchflower and Oswald (Blanchflower, D.G., & Oswald, A.J. (2008). Is well-being U-shaped over the life cycle? Social Science & Medicine, 66, 1733–1749), and I conclude that those authors (or someone else) could make a very important contribution by redoing their analyses with birth cohort as the only control variable. I do that with the American happiness data and find that the results do not come close to the U-shaped pattern.