Self-rated health status and associated factors in Ilam, west of Iran: results of a population-based cross-sectional study

The association of self-rated health with mortality is well established but poorly understood. This paper provides new insights into self-rated health that help integrate information from different disciplines, both social and biological, into one unified conceptual framework. It proposes, first, a model describing the health assessment process to show how self-rated health can reflect the states of the human body and mind. Here, an analytic distinction is made between the different types of information on which people base their health assessments and the contextual frameworks in which this information is evaluated and summarized. The model helps us understand why self-ratings of health may be modified by age or culture, but still be a valid measure of health status. Second, based on the proposed model, the paper examines the association of self-rated health with mortality. The key question is, what do people know and how do they know what they know that makes self-rated health such an inclusive and universal predictor of the most absolute biological event, death. The focus is on the social and biological pathways that mediate information from the human organism to individual consciousness, thus incorporating that information into self-ratings of health. A unique source of information is provided by the bodily sensations that are directly available only to the individual him- or herself. According to recent findings in human biology, these sensations may reflect important physiological dysregulations, such as inflammatory processes. Third, the paper discusses the advantages and limitations of self-rated health as a measure of health in research and clinical practice. Future research should investigate both the logics that govern people's reasoning about their health and the physiological processes that underlie bodily feelings and sensations. Self-rated health lies at the cross-roads of culture and biology, therefore a collaborative effort between different disciplines can only improve our understanding of this key measure of health status. Show more

Although self-rated health (SRH) is recognized as a strong and consistent predictor of mortality and functional health decline, there are relatively few studies examining SRH as a predictor of morbidity. This study examines the capacity of SRH to predict the onset of chronic disease among the late midlife population (ages 51-61 years). Utilizing the first 9 waves (1992-2008) of the Health and Retirement Study, event history analysis was used to estimate the effect of SRH on incidence of 6 major chronic diseases (coronary heart disease, diabetes, stroke, lung disease, arthritis, and cancer) among those who reported none of these conditions at baseline (N = 4,770). SRH was a significant predictor of onset of any chronic condition and all specific chronic conditions excluding cancer. The effect was particularly pronounced for stroke. This research provides the strongest and most comprehensive evidence to date of the relationship between SRH and incident morbidity. Show more

Many previous studies on socioeconomic inequalities in health have neglected the causal interdependencies between different socioeconomic indicators. This study examines the pathways between three socioeconomic determinants of ill health. Cross sectional survey data from the Helsinki health study in 2000 and 2001 were used. Each year employees of the City of Helsinki, reaching 40, 45, 50, 55, and 60 years received a mailed questionnaire. Altogether 6243 employees responded (80% women, response rate 68%). Socioeconomic indicators were education, occupational class, and household income. Health indicators were limiting longstanding illness and self rated health. Inequality indices were calculated based on logistic regression analysis. Each socioeconomic indicator showed a clear gradient with health. Among women half of inequalities in limiting longstanding illness by education were mediated through occupational class and household income. Inequalities by occupational class were largely explained by education. A small part of inequalities for income were explained by education and occupational class. For self rated health the pathways were broadly similar. Among men most of the inequalities in limiting longstanding illness by education were mediated through occupational class and income. Part of occupational class inequalities were explained by education. Two thirds of inequalities by income were explained by education and occupational class. Parts of the effects of each socioeconomic indicator on health are either explained by or mediated through other socioeconomic indicators. Analyses of the predictive power of socioeconomic indicators on health run the risk of being fruitless, if interrelations between various indicators are neglected. Show more