CAJ | 학술논문

目的了解广东省男性居民健康相关行为的城乡不公平性,为促进健康公平提供基础数据.方法利用2007年广东省行为危险因素监测资料,以不同经济发展水平地区分类作为区分调查对象阶层的客观变量,以吸烟、饮酒、不吃早餐、体力活动不足、血压测量、血糖检测和体重测量作为评价健康相关行为公平性的指标,采用集中曲线和集中指数(C)研究广东省男性居民健康相关行为的公平性,用非条件logistic回归方法分析影响健康相关行为城乡不公平性的因素.结果广东省男性居民健康筛查行为:血压检测(C=0.106,P=0.000)、血糖检测(C=0.114,P=0.000)和体重检测(C=0.107,P=0.000)向经济发达的城市集中;健康危险行为中的吸烟(C=-0.075,P=0.000)和饮酒行为(C=-0.023,P=0.002)向经济不发达的农村集中,而体力活动不足向经济发达的城市集中(C=0.044,P=0.000).各项健康相关行为中,血糖检测行为的公平性最差.总体上,健康筛查行为偏离公平的程度均比健康危险行为大,即广东省男性居民健康筛查行为的不公平程度比健康危险行为大.logistic回归分析显示这种不公平性可解释为男性居民社会经济状况(地区间文化程度、职业和平均月收入)的差异.结论应从政策上改善决定城乡居民健康不公平的社会决定因素,加强对弱势人群的健康促进,改善城乡健康相关行为的不公平性.
목적 료해광동성남성거민건강상관행위적성향불공평성,위촉진건강공평제공기출수거.방법 이용2007년광동성행위위험인소감측자료,이불동경제발전수평지구분류작위구분조사대상계층적객관변량,이흡연、음주、불흘조찬、체력활동불족、혈압측량、혈당검측화체중측량작위평개건강상관행위공평성적지표,채용집중곡선화집중지수(C)연구광동성남성거민건강상관행위적공평성,용비조건logistic회귀방법분석영향건강상관행위성향불공평성적인소.결과 광동성남성거민건강사사행위:혈압검측(C=0.106,P=0.000)、혈당검측(C=0.114,P=0.000)화체중검측(C=0.107,P=0.000)향경제발체적성시집중;건강위험행위중적흡연(C=-0.075,P=0.000)화음주행위(C=-0.023,P=0.002)향경제불발체적농촌집중,이체력활동불족향경제발체적성시집중(C=0.044,P=0.000).각항건강상관행위중,혈당검측행위적공평성최차.총체상,건강사사행위편리공평적정도균비건강위험행위대,즉광동성남성거민건강사사행위적불공평정도비건강위험행위대.logistic회귀분석현시저충불공평성가해석위남성거민사회경제상황(지구간문화정도、직업화평균월수입)적차이.결론 응종정책상개선결정성향거민건강불공평적사회결정인소,가강대약세인군적건강촉진,개선성향건강상관행위적불공평성.
Objective To compare the magnitude of inequities in health-related behaviors among males in Guangdong province, and to investigate the extent of the disparities. Methods Data sets available from the Guangdong Chronic Diseases and Risk Factors Survey 2007 are used.Concentration index (C) and concentration curve are employed to measure the differential of males'health-related behaviors across urban and rural areas in Guangdong. Odds ratios of 6 health-related behaviors among different areas are derived from 4 logistic models, after adjusting for age, married state, educational status, occupation and income. Results Results from Cs reveal that the inequality gradients disadvantageous to men in rural areas are: smoking(C=-0.075, P=0.000), alcohol intake (C=-0.023, P=0.002), blood pressure (C=0.106, P=0.000), blood sugar(C=0.114, P=0.000)and weight (C= 0.107, P= 0.000 ), while lack of physical activity (C= 0.044, P= 0.000) concentrates in the more affluent areas. The magnitudes of these inequalities appear to be higher on health-seeking behaviors than on health-risk behaviors. After adjusting for age and marital status, there is still strong evidence showing the rural-urban differences in the health related behaviors among males in Guangdong province. When educational status, occupation and income are added to the logistic model as control factors, the results have led to a loss of statistical significance on such rural-urban inequalities, indicating that socioeconomic factors play an important role on these health-related behaviors which leads to the inequalities among males in Guangdong province. Conclusion To reduce the gaps in health-related behaviors seen in the rural and urban areas, effective policies should be developed to change the social determinants of rural-urban differences in health and to strengthen the implementation of health-related programs on those vulnerable groups.