| Titre : | Premature mortality in the United States : The roles of geographic area, socioeconomic status, household type, and availability of medical care. (1999) |
| Auteurs : | C.J. MANSFIELD ; E.J. KOBRINSKI ; J. MITCHELL ; J.L. WILSON ; Center for Health Services Research and Development. East Carolina University. Greenville. NC. USA |
| Type de document : | Article |
| Dans : | American journal of public health (vol. 89, n° 6, 1999) |
| Pagination : | 893-898 |
| Langues: | Anglais |
| Mots-clés : | Etats Unis ; Amérique ; Epidémiologie ; Incidence ; Homme ; Etat santé ; Mortalité ; Race ; Ethnie ; Education ; Facteur risque ; Facteur socioéconomique ; Famille monoparentale ; Soins santé primaire ; Amérique du Nord ; Chômage |
| Résumé : | [BDSP. Notice produite par INIST 0qYzHR0x. Diffusion soumise à autorisation]. Objectives. This study examined premature mortality by county in the United States and assessed its associanon with metro/urban rural geographie location, socioeconomic status, house-hold type, and availability of medical care. Methods. Age-adjusted years of potential life lost hefore 75 years of age were calculated and mapped by county Predictors of prenahire mortality were determined by maltiple regression analysis Results. Premature mortality was greatest in rural counties in the South cast and Southwest. In a model predict ing 55% of variation across countics, community structure factors explained more than availability of medical care The proportions of female-headed households and Black populations were the strongest predictors, followed by vaziables measaring low education, American Indian population, and chronic tinemployment. Greater availability of generalist physicians predicted fewer years of life lost in metropolitan counties but more in rural contries. Conclusions. Community structore factors statistically explain much of the variation in prernature mortality The degree to which preniature mortality is predieted by percentage of female-headed households is important. for policy-making and delivery of medical care. The relationships described argue strongly for broadening the bis-medical model. |
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