RURAL-URBAN DIFFERENCES IN HARDINESS, STRESS AND ILLNESS AMONG WOMEN (HEALTH).
Contributors: University of Texas at Austin.
Published: 1985
Number of pages: 260
Subjects: Health Sciences, Nursing.; Women's Studies.
Description: The purpose of this study was to address the following question: What is the relationship between hardiness, stressful life events and illness occurrence in rural versus urban women? The methodology of the study consisted of a comparative analysis using a correlation retrospective nonexperimental design. The sample consisted of 157 randomly selected women from two communities in Wyoming. Eighty of the subjects resided in a rural community and 77 were urban residents. Instruments used included a demographic questionnaire developed by the investigator, the 15-item hardiness scale developed by Kobasa, a modified version of Norbeck's Life Experience Survey for Women, and a modified version of Wyler's Seriousness of Illness Scale.

The results indicated no significant rural-urban differences in levels of total hardiness of the number of intensity of stressful life events. The rural sample, however did report a significantly (p = .017) greater number of environmentally-related events than the urban group. There was a significant difference (p = .025) in self-reported illness, with rural women scoring a lower seriousness of illness score than the urban women. A relatively strong positive relationship between stressful life events and illness in both groups was also demonstrated. Illness was most strongly correlated with the total number of life events experienced. To test the stress-mediating effects of hardiness and rurality, three way analysis of variance was performed. Hardiness produced a significant (F = 8.13, p = .005) two-way interaction with negative life events score when number of illnesses reported was used as the dependent variable. Consistent with Kobasa's earlier findings, in the presence of high levels of stress, hardiness was associated with lower levels of illness. Rurality failed to produce a significant main or interaction effect. Multiple regression analysis was also performed to identify the strongest predictors of illness. Negative life events score and number of years spent living in a rural area as a young adult were most predictive of seriousness of illness, while total life events reported and age were most predictive of the number of illnesses. Indicator variable regression analysis showed no rural-urban differences in the regression equations. Content analysis of the qualitative interviews suggested a positive relationship between socioeconomic/educational status and hardiness along with the possible confounding effects of religiosity.
Notes: Source: Dissertation Abstracts International, Volume: 47-02, Section: B, page: 0567.

Thesis (PH.D.)--THE UNIVERSITY OF TEXAS AT AUSTIN, 1985.

School code: 0227.