Armstrong D L, Castorina J
Department of Epidemiology, SPH, University at Albany, SUNY, Rensselaer, NY 12144-3456, USA.
Ann Epidemiol. 1998 Aug;8(6):370-7. doi: 10.1016/s1047-2797(98)00008-8.
Examine the association between county occupational structure, public expenditures, services availability, prevalence of risk factors, and coronary mortality rates, for 1980-1994, in Washington state.
Washington's 39 counties were classified into three occupational structure categories: counties with the lowest percentages of the labor force in managerial, professional, and technical occupations were classified in category I; counties with the highest percentages were in category III. Directly age-adjusted coronary heart disease (CHD) mortality rates, aged 35-64 years, (from vital statistics and Census data), per capita expenditures (Washington Department of Revenue data), per capita services (U.S. Statistical Abstracts data), and the prevalence of CHD risk factors (BRFSS data) were calculated for each occupational structure category.
CHD mortality rates and the prevalence of risk factors were inversely associated with occupational structure. Per capita expenditures for health, social, and employment services were 2.2 times, and for schools and recreation were 1.4 times higher in category III vs. I counties. Per capita numbers of child care, job training, employment services, exercise facilities, schools, and medical services were 1.5-6.4 times greater in category III vs. I counties.
Strategies to improve community living conditions and decrease economic disparities between counties may be important to decrease geographic differences in premature CHD mortality.
研究1980 - 1994年华盛顿州各县职业结构、公共支出、服务可及性、风险因素患病率与冠心病死亡率之间的关联。
华盛顿州的39个县被分为三类职业结构类别:劳动力中管理、专业和技术职业占比最低的县归为I类;占比最高的县归为III类。计算了每个职业结构类别中35 - 64岁经年龄直接调整的冠心病(CHD)死亡率(来自人口动态统计和人口普查数据)、人均支出(华盛顿州税务局数据)、人均服务(美国统计摘要数据)以及CHD风险因素患病率(行为危险因素监测系统数据)。
CHD死亡率和风险因素患病率与职业结构呈负相关。III类县与I类县相比,卫生、社会和就业服务的人均支出高出2.2倍,学校和娱乐服务的人均支出高出1.4倍。III类县与I类县相比,儿童保育、职业培训、就业服务、健身设施、学校和医疗服务的人均数量高出1.5 - 6.4倍。
改善社区生活条件和减少各县之间经济差距的策略对于减少过早冠心病死亡率的地理差异可能很重要。