Violence against women, 2008-04, Vol.14 (4), p.437-456
2008
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Details
- Autor(en) / Beteiligte
- Titel
- Abuse Characteristics and Coping Resources as Predictors of Problem-Focused Coping Strategies Among Battered Women
- Ist Teil von
- Violence against women, 2008-04, Vol.14 (4), p.437-456
- Ort / Verlag
- London, England: Sage Publications
- Erscheinungsjahr
- 2008
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- The current study examines the predictors of three types of problem-focused coping strategies (i.e., amount of help seeking, pursuing an order of protection, and staying away from the abuser) among battered women. Predictor variables are categorized as abuse characteristics and three types of coping resources (i.e., personal, material, and social coping resources). Data from the Chicago Women's Health Risk Study (N = 478) are used. Results show that enactment of problem-focused coping strategies is associated with amount of abuse, severity, harassment, and power and control tactics. Coping resources such as general health, employment, and social support influence enactment of coping strategies.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1077-8012eISSN: 1552-8448DOI: 10.1177/1077801208314831Titel-ID: cdi_proquest_miscellaneous_70432663
- Format
- –
- Schlagworte
- Abused women, Abusers, Adaptation, Psychological, Adult, Battered Women - psychology, Battered Women - statistics & numerical data, Coping, Coping strategies, Data analysis, Domestic violence, Employment, Enactment, Family Violence, Female, Females, Harassment, Health problems, Health risks, Help seeking behavior, Humans, Male, Middle Aged, Patient Acceptance of Health Care - statistics & numerical data, Patient Education as Topic - methods, Physician-Patient Relations, Power, Protection, Resources, Rural Population - statistics & numerical data, Sexual Partners, Social support, Spouse Abuse - prevention & control, Spouse Abuse - statistics & numerical data, Strategies, Surveys and Questionnaires, Survival strategy, Tactics, U.S.A, Urban Population - statistics & numerical data, Women, Womens health