PubMed · 16214716
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Nils Christie. 2005. Deviance as strength1.. https://doi.org/10.1080/14034950510033309
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AIMS: This study examined indices of personal and social resources drawn from social learning, behavioral economics, and social control theories as predictors of medium- and long-term alcohol use disorder outcomes. DESIGN AND MEASURES: Individuals (N = 461) who initiated help-seeking for alcohol-related problems were surveyed at baseline and 1, 3, 8, and 16 years later. At baseline and each follow-up, participants provided information about their personal and social resources and alcohol-related and psychosocial functioning. FINDINGS: In general, protective resources associated with social learning (self-efficacy and approach coping), behavioral economics (health and financial resources and resources associated with Alcoholics Anonymous), and social control theory (bonding with family members, friends, and coworkers) predicted better alcohol-related and psychosocial outcomes. A summary index of protective resources associated with all three theories significantly predicted remission. Protective resources strengthened the positive influence of treatment on short-term remission and partially mediated the association between treatment and remission. CONCLUSIONS: Application of social learning, behavior economic, and social control theories may help to identify predictors of remission and thus to allocate treatment more efficiently.
BACKGROUND: Providing home care for a child with a chronic illness can be stressful for the family. The purpose of this paper is to examine patterns of caregiving and the associated psychological impact on maternal caregivers of children with sickle cell disease (SCD). PROCEDURE: Fourteen maternal caregivers of children with SCD were interviewed as part of a larger study of maternal caregivers of children with chronic illness. Forty-four caregivers of children with HIV and 36 caregivers of healthy children were included as comparison groups. Interviews included questions regarding amount of time spent providing care for the child (technical care, non-technical care, health care management), hospitalization, emergency room visits, illness stigma, and mental health of the caregiver. RESULTS: Children with SCD had significantly lower functional status and significantly more hospitalizations in the previous 3 months than children with HIV. Caregivers of children with SCD were more likely to work full-time and had higher incomes than caregivers of children with HIV. The three caregiving groups did not differ significantly on amount of total care, although caregivers of children with SCD and caregivers of children with HIV both reported significantly more time spent in technical care than caregivers of healthy children. Despite lower functional status of the children in the SCD group, when group comparisons on caregiving time variables were adjusted for child's functional status, the differences between groups increased. This appeared to be due to the fact that caregivers in the HIV group spent more time in all caregiving categories except skin, crisis, and other care. In terms of caregiver mental health, caregivers of children with HIV and SCD had significantly higher depressive mood scores than caregivers of healthy children but the groups did not differ on caregiving burden. CONCLUSIONS: The perceived care burden of caregivers of children with SCD may be related to the unpredictable nature of the crisis care they provide. Additional attention is warranted to developing adequate resources for caregivers of children with SCD to mitigate the stress of unexpected crises.
GOALS OF WORK: This study reflects variables being depicted as predictors of global quality of life in current research. The evaluation was conducted at the Division of Clinical Oncology at the Medical University in Graz, Austria. PATIENTS AND METHODS: A sample of 210 breast cancer patients between ages 30 and 80 years was assessed 1-5 years after initial diagnosis in a tumor-free stage. Besides the socio-demographic and medical variables, the Brief Symptom Inventory (BSI), Impact of Event Scale (IES), Mental Adjustment to Cancer (MAC), and the Perceived Family Support (PFS) were used. To identify variables related to quality of life, stepwise multiple regression analyses were calculated. MAIN RESULTS: In a regression analysis, the general severity index (BSI) was identified as the most important and helplessness/hopelessness (MAC) as the second important variable related to QoL. Including the BSI-subscales as predictors, the depression-subscale (BSI) explained 25% of the variance; in addition, somatization (BSI), helplessness/hopelessness (MAC), and having financial problems (semi-structured interview) were significantly related to global quality of life, but the medical variables showed no associations to the measured quality of life. Depression itself is associated with negative the impact of cancer, the number of stressful life events, being uncomfortable with the body, having financial problems and anxious preoccupation (MAC). CONCLUSIONS: The awareness of the role of multi-factorial and associated variables could provide patients, family, and medical staff with appropriate and adequate tools to treat specific symptoms.