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[社会经济状况与头颈癌:一项系统的文献综述]

[Socioeconomic conditions and head and neck cancer: a systematic literature review].

作者信息

Boing Antonio Fernando, Antunes José Leopoldo Ferreira

机构信息

Programa de Pós-Graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, Campus Universitário, Florianópolis SC.

出版信息

Cien Saude Colet. 2011 Feb;16(2):615-22. doi: 10.1590/s1413-81232011000200025.

DOI:10.1590/s1413-81232011000200025
PMID:21340337
Abstract

This study sought to describe the main characteristics of epidemiological studies that investigated the association between socioeconomic conditions and head and neck cancer. Research was carried out on the Medline (International Science Literature), Lilacs (Latin American and Caribbean Health Sciences Literature) and Scielo (Scientific Electronic Library Online) databases, as well as the references cited in the articles obtained through the primary search of the aforementioned databases. The publication period considered included 38 years (1970-2007) and the analysis was restricted to articles in Spanish, English or Portuguese. Twenty-five studies were selected, 15 that outlined case-control, four ecological and six that combined information from official databases, such as censuses and cancer or death records. Most cases reported an association between lower socioeconomic conditions and head and neck cancer. The most used indexes were occupation and education. Few studies investigated medication, aiming to point out which proximal factors operate in the investigated association. Additional studies, with uniform criteria to effect the adjustments in the regression models and sufficient samples, are required to inquire this dimension.

摘要

本研究旨在描述调查社会经济状况与头颈癌之间关联的流行病学研究的主要特征。研究在医学在线数据库(国际科学文献)、拉丁美洲和加勒比卫生科学文献数据库(Lilacs)以及科学电子在线图书馆数据库(Scielo)中进行,同时也参考了通过上述数据库的初步检索所获取文章中引用的参考文献。所考虑的发表时间段为38年(1970 - 2007年),分析仅限于西班牙语、英语或葡萄牙语的文章。共筛选出25项研究,其中15项概述了病例对照研究,4项为生态学研究,6项结合了官方数据库(如人口普查以及癌症或死亡记录)的信息。大多数研究报告称社会经济状况较低与头颈癌之间存在关联。最常用的指标是职业和教育程度。很少有研究调查药物使用情况,旨在指出在所研究的关联中哪些近端因素起作用。需要更多采用统一标准进行回归模型调整且样本充足的研究来探究这一方面。

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