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。     

A Retrospective Review of the Use and Safety of Droperidol in a Large, High-risk, Inner-city Emergency Department Patient Population

Droperidol (DROP) is used in the emergency department (ED) for sedation, analgesia, and its antiemetic effect. Its ED safety profile has not yet been reported in patients (pts). OBJECTIVES: To document the use of DROP in high-risk pts (those with head injury, alcohol or cocaine intoxication, and/or remote or recent seizures), and to determine the number of serious and minor adverse events (AEs)-seizures, hypotension, extrapyramidal side effects (EPSEs)-after DROP. METHODS: The ED database (EmSTAT) was queried to determine who received intramuscular or intravenous DROP in the ED in 1998; further chart review was done if the patient was considered high risk for or had experienced an AE. Multiple regression analysis using a random-effects model determined the significance of each variable in the occurrence of AEs. RESULTS: 2,468 patients (aged 20 months to 98 years; 112 < or =17 years; 141 > or =66 years) received DROP for agitation (n = 1,357), pain (1,135), anxiety (99), vomiting (173), or other reasons (50). There were 945 pts considered high risk; 933 charts were reviewed (DROP mean dose 4.1 +/- 2.0 mg); of these, 50 patient visits did not meet the criteria for high risk. There were 622 pts with head trauma (401 with alcohol use), including 47 with computed tomography (CT) scans positive for brain injury, 64 with cocaine use, and 197 with recent or remote seizures (137 with alcohol use). Minor AEs such as transient hypotension occurred in 96 pts after DROP (73 with alcohol use); 20 received intravenous fluids, while an additional 28 pts (8 with alcohol use) received rescue medications for EPSEs. Six possible serious AEs occurred in pts with serious comorbidities; 2 cases of respiratory depression, 3 post-DROP seizures, and 1 cardiac arrest (resuscitated) 11 hours after DROP in a cocaine-intoxicated pt (normal QT interval). There was no significant difference among high-risk groups in the occurrence of AEs. CONCLUSIONS: The vast majority of pts who received DROP in the ED did not experience an AE. A few serious AEs were noted following DROP in patients with serious comorbidities; it is not clear that DROP was causative.     

Depression in 11–16-year-old Girls: The Role of Past Parental Psychopathology and Exposure to Recent Life Events

Abstract— Interviews with parents of a non-referred sample of 11–16-year-old girls ( n = 82) revealed that a significantly greater proportion of mothers with a lifetime: history of any psychiatric disorder also reported one or more recent undesirable life events focused on the adolescent compared with mothers with no such history, Lifetime episodes of maternal depression and recent undesirable life events exerted significant additive effects on the likelihood of depression occurring in the previous 12 months in adolescent girls. Some families may be "life event prone" as a consequence of lifetime episodes of parental psychopathology.     

Depressed pathological gamblers

Depressed gamblers (n = 14) were compared with normal controls (n = 41) for antecedent life events. The depressed gamblers had experienced significantly more life events, and undesirable or exit life events, during the 6 months before the onset of depression.     

影响部队汽车驾驶员心身健康水平和行车安全的相关因素研究

对部队汽车驾驶员203名的心身健康和行车安全的相关因素研究表明:驾驶员可发生心身障碍,尤其眼和耳、呼吸系统,骨胳肌肉系统及抑郁等为著。其影响因素,主要有负性精神紧张总值(-Lcu)、个性的精神质、神经质、掩饰性、内向倾向、开车公里数、开车年限及精神疾病家族史。某些心身问题、神经质、掩饰性较高、年龄偏大、开车公里数多及开车年限长等与事故差错的发生有关。     

预期无残疾寿命的计算及应用

预期无残疾寿命（ＥＬＷＤ）在国外公共卫生及老年医学研究中已得到普遍重视，但ＥＬＷＤ的计算中却存在着若干错误，直接影响着ＥＬＷＤ的正确使用。文章简述了ＥＬＷＤ的概念及原理，推导了正确的计算公式，并以实例说明了计算步骤及方法，对ＥＬＷＤ在医学研究中的应用进行了讨论。     

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.     

Detecting possible vaccine adverse events in clinical notes of the electronic medical record

The Vaccine Safety Datalink (VSD) is a collaboration between the CDC and eight large HMOs to investigate adverse events following immunization through analyses of clinical data. We modified an existing system, called MediClass, that uses natural language processing to identify clinical events recorded in electronic medical records (EMRs). We customized MediClass so it could detect possible vaccine adverse events (VAEs) generally, and gastrointestinal-related VAEs in particular, in the text clinical notes of encounters recorded in the EMR of a large HMO. Compared to methods that use diagnosis and utilization codes assigned to encounters by clinicians and administrators, the MediClass system can both find more adverse events and improve the positive predictive value for detecting possible VAEs.     

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.