Department of Adult Health and Critical Care, College of Nursing, Sultan Qaboos University, GSM, Al-Khoud, PO 66, Muscat 123, Sultanate of Oman.
Health Qual Life Outcomes. 2013 Jan 22;11:9. doi: 10.1186/1477-7525-11-9.
Women facing social and economic disadvantage in stressed communities of developing countries are at greater risk due to health problems. This paper investigates the relationships between structural, health and psychosocial predictors among women in mining and agricultural communities. This paper is a report of a study of the predictors of the health-related quality of life among Indian women in mining and agricultural communities.
A descriptive cross-sectional research design was used. The instruments used are SF-36 Health Survey and Coping Strategy Checklist. ANOVA, MANOVA and GLM were used in the analysis. The study was conducted between January-September 2008 with randomly selected women in a mining (145) and an agricultural community (133) in India.
Women in the agricultural community had significantly increased Physical Health, Mental Health and SF36 scores compared with those in the mining community. Years of stay, education and employment were significant predictors among women in the agricultural community. 39% (33%) and 40% (26%) of the variance in Physical and Mental health respectively among women in agricultural and mining communities are predicted by the structural, health and psychosocial variables.
Perceived health status should be recognised as an important assessment of Physical and Mental Health among women in rural stressed communities. Cognitive, emotional and behavioural coping strategies are significant predictors of health related quality of life. Implications. Nurses should use the SF-36 as a diagnostic tool for assessing health related quality of life among women and discuss coping strategies, so that these can target women's adaptive behaviour. This should be an essential part of the nursing process for facilitating adaptive process for improved health related quality of life.
在发展中国家面临社会和经济劣势的妇女，由于健康问题而面临更大的风险。本文研究了采矿和农业社区中妇女的结构、健康和心理社会预测因素之间的关系。本文是一项研究印度采矿和农业社区妇女健康相关生活质量预测因素的报告。
采用描述性横断面研究设计。使用的工具是 SF-36 健康调查和应对策略检查表。在分析中使用了 ANOVA、MANOVA 和 GLM。该研究于 2008 年 1 月至 9 月在印度的一个采矿社区（145 人）和一个农业社区（133 人）中随机选择妇女进行。
与采矿社区相比，农业社区的妇女在生理健康、心理健康和 SF36 评分方面显著提高。在农业社区中，居住年限、教育和就业是重要的预测因素。农业和采矿社区妇女的生理和心理健康分别有 39%（33%）和 40%（26%）的方差可以由结构、健康和心理社会变量来预测。
应将感知健康状况视为农村紧张社区妇女生理和心理健康的重要评估指标。认知、情感和行为应对策略是健康相关生活质量的重要预测因素。影响。护士应将 SF-36 用作评估妇女健康相关生活质量的诊断工具，并讨论应对策略，以便针对妇女的适应行为。这应该是促进适应过程以改善健康相关生活质量的护理过程的重要组成部分。
