Abstract

BackgroundWomen 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.MethodsA 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.ResultsWomen 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.ConclusionPerceived 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.

Highlights

  • Women facing social and economic disadvantage in stressed communities of developing countries are at greater risk due to health problems

  • A few women were working after marriage (13.8% and 46.6%) compared with those before marriage (35.2% and 44.3%) in the mining community compared with the agricultural community

  • A substantial portion of the women had good (62.1% and 36.1%) economic status in the mining community compared with the agricultural community respectively

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Summary

Introduction

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. Women differentially select particular coping strategies across stressful events [16,17]. This empirical research is a study of women’s perceived health that could possibly be exerted by the structural (demographic, socio-economic), health (cultural, illness) and psychosocial (support, coping) factors contingent in mining and agricultural communities

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