Unit for Health Promotion Research, National Institute of Public Health, University of Southern Denmark, Øster Farimagsgade 5A, 1353 Copenhagen K, Denmark.
J Epidemiol Community Health. 2013 Jan;67(1):6-13. doi: 10.1136/jech-2011-200192. Epub 2012 Jul 23.
Previous studies have shown that cancer incidence is related to a number of individual factors, including socioeconomic status. The aim of this study was to refine the current knowledge about indicators associated with cancer incidence by evaluating the influence of neighbourhood characteristics on breast, prostate and lung cancer incidence in Denmark.
All women aged 30-83 years were followed for breast cancer between 2004 and 2008, men between 50 and 83 years were followed for prostate cancer and both sexes between ages 50 and 83 were followed for lung cancer. Registry data obtained from Statistics Denmark included age, sex, availability of breast cancer screening, marital status, education, disposable income and occupational socioeconomic status on the individual level and population density and neighbourhood socioeconomic status (the proportion of unemployed) on the parish level. Frailty modelling with individuals on the first level and parishes on the second level was conducted.
A significantly lower HR of breast cancer was found in areas with low population density (HR=0.93; CI 0.88 to 0.99), while neighbourhood unemployment had no effect. Inhabitants of lower unemployment areas had a higher risk of prostate cancer (HR=1.14; CI 1.08 to 1.21) compared with those in higher unemployment areas, whereas population density had no effect. Risk of lung cancer was lower in areas with lowest population density (HR=0.80; CI 0.74 to 0.85) and lowest in areas with lowest unemployment (HR=0.88; CI 0.84 to 0.92).
In addition to individual-level factors, characteristics on the neighbourhood level also have an influence on breast, prostate and lung cancer incidence.
先前的研究表明,癌症发病率与许多个体因素有关,包括社会经济地位。本研究旨在通过评估邻里特征对丹麦乳腺癌、前列腺癌和肺癌发病率的影响,来完善与癌症发病率相关的指标的现有知识。
2004 年至 2008 年间,所有 30-83 岁的女性都接受了乳腺癌随访;50-83 岁的男性接受了前列腺癌随访;50-83 岁的男女都接受了肺癌随访。丹麦统计局提供的登记数据包括个体层面的年龄、性别、乳腺癌筛查的可及性、婚姻状况、教育程度、可支配收入和职业社会经济地位,以及教区层面的人口密度和邻里社会经济地位(失业比例)。使用个体一级和教区二级的脆弱性模型进行了分析。
发现人口密度较低的地区乳腺癌的 HR 显著降低(HR=0.93;95%CI 0.88 至 0.99),而邻里失业没有影响。与失业较高的地区相比,失业较低地区的居民前列腺癌发病风险较高(HR=1.14;95%CI 1.08 至 1.21),而人口密度没有影响。人口密度最低地区的肺癌发病风险最低(HR=0.80;95%CI 0.74 至 0.85),失业率最低地区的肺癌发病风险最低(HR=0.88;95%CI 0.84 至 0.92)。
除了个体水平的因素外,邻里特征也对乳腺癌、前列腺癌和肺癌的发病率有影响。