10 resultados para Distress

em University of Queensland eSpace - Australia


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Objectives: To determine the 12-month prevalence of substance-use disorders and psychological morbidity in an Australian arrestee population. Design: Cross-sectional descriptive study. Participants and setting: 288 police arrestees at the Brisbane City Police Watch House in February and March 2001. Outcome measures: Prevalence of drug and alcohol disorders; psychological caseness according to the 28-item General Health Questionnaire; demographics and index offences. Results: 86% of the arrestees had at least one substance-use disorder; most had multiple disorders. More than 80% were substance dependent. The predominant substances used were amphetamines, marijuana, opioids and alcohol. 82% of the men and 94% of the women were suffering significant psychological distress. Conclusions: Development of services for detoxification and treatment of this population is a pressing need. The findings provide crucial information for the planning and implementation of drug courts and court diversion systems.

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A belief that doctors or family control one's health outcomes (external health locus of control), and a belief in one's own ability to achieve desired outcomes (general self-efficacy), may influence distress experienced in relation to a physical illness. This study examined the interaction between illness severity, external health locus of control and general self-efficacy in relation to distress. Illness severity was defined as acute or chronic illness, with the latter expected to be more stressful. Participants described a serious illness they experienced, and completed self-report scales in relation to it. Results confirmed that chronic illnesses were associated with more distress than acute illnesses across the sample. Hierarchical multiple regression analyses supported the predicted effects on distress of a three-way interaction involving external health locus of control, general self-efficacy and illness severity (acute vs. chronic). Analysis of these results may assist in explaining inconsistencies in previous research, and offer a model for understanding the role of person variables in emotional distress.

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Psychological distress is common in cancer patients, however, it is often unrecognized and untreated. We aimed to identify barriers to cancer patients expressing their psychological concerns, and to recommend strategies to assist oncologists to elicit, recognize, and manage psychological distress in their patients. Medline, Psychlit, and the Cochrane databases were searched for articles relating to the detection of emotional distress in patients. Patients can provide verbal and non-verbal information about their emotional state. However, many patients may not reveal emotional issues as they believe it is not a doctor's role to help with their emotional concerns. Moreover, patients may normalize or somatize their feelings. Anxiety and depression can mimic physical symptoms of cancer or treatments, and consequently emotional distress may not be detected. Techniques such as active listening, using open questions and emotional words, responding appropriately to patients' emotional cues, and a patient-centred consulting style can assist in detection. Screening tools for psychological distress and patient question prompt sheets administered prior to the consultation can also be useful. In conclusion, the application of basic communication techniques enhances detection of patients' emotional concerns. Training oncologists in these techniques should improve the psychosocial care of cancer patients.

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This study examined relations between stress and coping predictors and distress and positive outcomes in multiple sclerosis (MS). A total of 502 people with MS completed a questionnaire at Time 1 and, 3 months later, Time 2 (n= 404). Predictors included Time 1 illness (duration, number of symptoms, course), number of problems, appraisal and coping (acceptance, problem solving, emotional release, avoidance, personal health control, energy conservation). Dependent variables were Time 2 distress (anxiety, depression) and positive outcomes (life satisfaction, positive affect, benefits). Results indicated that as hypothesised, personal health control, emotional release and physical assistance were related to the positive outcomes, whereas avoidance was related to distress, and acceptance was associated with the positive outcomes and distress. Findings highlight the differential relations between coping strategies and positive and negative outcomes and the role of appraisal and coping in regulating distress and promoting positive psychological states while managing a chronic illness.

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This trial of cognitive-behavioural therapy (CBT) based amphetamine abstinence program (n = 507) focused on refusal self-efficacy, improved coping, improved problem solving and planning for relapse prevention. Measures included the Severity of Dependence Scale (SDS), the General Health Questionnaire-28 (GHQ-28) and Amphetamine Refusal Self-Efficacy. Psychiatric case identification (caseness) across the four GHQ-28 sub-scales was compared with Australian normative data. Almost 90% were amphetamine-dependent (SDS 8.15 +/- 3.17). Pretreatment, all GHQ-28 sub-scale measures were below reported Australian population values. Caseness was substantially higher than Australian normative values {Somatic Symptoms (52.3%), Anxiety (68%), Social Dysfunction (46.5%) and Depression (33.7%). One hundred and sixty-eight subjects (33%) completed and reported program abstinence. Program completers reported improvement across all GHQ-28 sub-scales Somatic Symptoms (p < 0.001), Anxiety (p < 0.001), Social Dysfunction (p < 0.001) and Depression (p < 0.001)}. They also reported improvement in amphetamine refusal self-efficacy (p < 0.001). Improvement remained significant following intention-to-treat analyses, imputing baseline data for subjects that withdrew from the program. The GHQ-28 sub-scales, Amphetamine Refusal Self-Efficacy Questionnaire and the SDS successfully predicted treatment compliance through a discriminant analysis function (p