Sally Macintyre, Laura McKay, Geoff Der, Rosemary Hiscock
{"title":"社会经济地位和健康:你观察到什么取决于你如何衡量它。","authors":"Sally Macintyre, Laura McKay, Geoff Der, Rosemary Hiscock","doi":"10.1093/pubmed/fdg089","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A number of different socio-economic classifications have been used in relation to health in the United Kingdom. The aim of this study was to compare the predictive power of different socio-economic classifications in relation to a range of health measures.</p><p><strong>Methods: </strong>A postal questionnaire was sent to a random sample of adults in the West of Scotland (sampling from 1997 electoral roll, response rate 50 percent achieved sample 2,867).</p><p><strong>Results: </strong>Associations between social position and health vary by socio-economic classification, health measure and gender. Limiting long-standing illness is more socially patterned than recent illness; income, Registrar General Social Class, housing tenure and car access are more predictive of health than the new National Statistics Socio Economic Classification; and men show steeper socio-economic gradients than women.</p><p><strong>Conclusion: </strong>Although there is a consistent picture of poorer health among more disadvantaged groups, however measured, in seeking to explain and reduce social inequalities in health we need to take a more differentiated approach that does not assume equivalence among social classifications and health measures.</p>","PeriodicalId":77224,"journal":{"name":"Journal of public health medicine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2003-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/pubmed/fdg089","citationCount":"140","resultStr":"{\"title\":\"Socio-economic position and health: what you observe depends on how you measure it.\",\"authors\":\"Sally Macintyre, Laura McKay, Geoff Der, Rosemary Hiscock\",\"doi\":\"10.1093/pubmed/fdg089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>A number of different socio-economic classifications have been used in relation to health in the United Kingdom. The aim of this study was to compare the predictive power of different socio-economic classifications in relation to a range of health measures.</p><p><strong>Methods: </strong>A postal questionnaire was sent to a random sample of adults in the West of Scotland (sampling from 1997 electoral roll, response rate 50 percent achieved sample 2,867).</p><p><strong>Results: </strong>Associations between social position and health vary by socio-economic classification, health measure and gender. Limiting long-standing illness is more socially patterned than recent illness; income, Registrar General Social Class, housing tenure and car access are more predictive of health than the new National Statistics Socio Economic Classification; and men show steeper socio-economic gradients than women.</p><p><strong>Conclusion: </strong>Although there is a consistent picture of poorer health among more disadvantaged groups, however measured, in seeking to explain and reduce social inequalities in health we need to take a more differentiated approach that does not assume equivalence among social classifications and health measures.</p>\",\"PeriodicalId\":77224,\"journal\":{\"name\":\"Journal of public health medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1093/pubmed/fdg089\",\"citationCount\":\"140\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of public health medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/pubmed/fdg089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of public health medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/pubmed/fdg089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Socio-economic position and health: what you observe depends on how you measure it.
Background: A number of different socio-economic classifications have been used in relation to health in the United Kingdom. The aim of this study was to compare the predictive power of different socio-economic classifications in relation to a range of health measures.
Methods: A postal questionnaire was sent to a random sample of adults in the West of Scotland (sampling from 1997 electoral roll, response rate 50 percent achieved sample 2,867).
Results: Associations between social position and health vary by socio-economic classification, health measure and gender. Limiting long-standing illness is more socially patterned than recent illness; income, Registrar General Social Class, housing tenure and car access are more predictive of health than the new National Statistics Socio Economic Classification; and men show steeper socio-economic gradients than women.
Conclusion: Although there is a consistent picture of poorer health among more disadvantaged groups, however measured, in seeking to explain and reduce social inequalities in health we need to take a more differentiated approach that does not assume equivalence among social classifications and health measures.