Salem Mylene Tewtel, Abdulrahim Sawsan, Zurayk Huda
Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Women Health. 2009 Dec;49(8):625-41. doi: 10.1080/03630240903495962.
This study extends the debate on self-rated health by using different sources of data in the same study to explore the meanings of self-rated health among women who live in socio-economically disadvantaged communities in Beirut, Lebanon. Using data from the Urban Health Study, a cross-sectional household survey of 1,869 women between 15 and 59 years of age, multiple logistic regression models were developed to assess factors associated with self-rated health. Also, open-ended data was used to analyze women's explanations of their self-rated health ratings. Self-rated health was found to be a complex concept, associated not only with physical health but also with a combination of social, psychological, and behavioral factors. This open-ended analysis revealed new meanings of self-rated health that are often not included in self-rated health epidemiologic research, such as women's experiences with pain and fatigue, as well as exposure to financial stressors and the legacy of wars. We argue that triangulating survey and open-ended data provides a better understanding of the context-specific social and cultural meanings of self-rated health.
本研究通过在同一研究中使用不同的数据来源，扩展了关于自评健康的讨论，以探究黎巴嫩贝鲁特社会经济弱势社区中女性自评健康的意义。利用城市健康研究的数据，这是一项对1869名年龄在15至59岁之间女性的横断面家庭调查，开发了多个逻辑回归模型来评估与自评健康相关的因素。此外，还使用了开放式数据来分析女性对其自评健康评分的解释。研究发现，自评健康是一个复杂的概念，不仅与身体健康相关，还与社会、心理和行为因素的综合作用有关。这种开放式分析揭示了自评健康的新意义，而这些意义在自评健康的流行病学研究中往往未被涵盖，例如女性的疼痛和疲劳经历，以及面临的经济压力源和战争遗留问题。我们认为，将调查数据和开放式数据相结合，能更好地理解自评健康在特定背景下的社会和文化意义。
