Kondo Naoki, Mizutani Takashi, Minai Junko, Kazama Mari, Imai Hisashi, Takeda Yasuhisa, Yamagata Zentaro
Department of Health Sciences, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, 1110 Shimokato, Tamaho, Nakakoma, Yamanashi, Japan.
J Epidemiol. 2005 Nov;15(6):219-27. doi: 10.2188/jea.15.219.
Disability-free life expectancy (DFLE) data for 47 prefectures in Japan were reported in 1999; however, few studies have identified the factors associated with the length of the DFLE. The objective of this study was to elucidate the primary factors that explain differences in DFLEs in Japan.
In our ecological study, 47 prefectures in Japan were used as units of analysis. The DFLEs for men and women at 65 years of age (DFLE65), calculated by Hashimoto et al using Sullivan's method, were set as dependent variables. From various national surveys, 181 factors associated with demographics, socioeconomic status, health status and health behaviors, medical environment, social relationships, climate, and other areas were gathered as independent variables. Pearson's or Spearman's correlation coefficients were calculated to screen independent variables potentially associated with the DFLE65s. Then, multivariate linear regression analyses were conducted for the selected 24 independent variables after adjusting for the proportion of older people (65 years or more) and population density.
Multivariate linear regression analyses revealed that the large number of public health nurses per 100,000 population, a good self-reported health status, and a high proportion of older workers were significantly associated with long DFLE65s for both genders.
These three factors could potentially explain the differences in DFLE of the older population in Japan.
1999年公布了日本47个县的无残疾预期寿命(DFLE)数据;然而,很少有研究确定与DFLE长短相关的因素。本研究的目的是阐明解释日本DFLE差异的主要因素。
在我们的生态学研究中,将日本的47个县作为分析单位。将桥本等人使用沙利文方法计算的65岁男性和女性的DFLE(DFLE65)设为因变量。从各种全国性调查中,收集了与人口统计学、社会经济地位、健康状况和健康行为、医疗环境、社会关系、气候及其他领域相关的181个因素作为自变量。计算皮尔逊或斯皮尔曼相关系数,以筛选可能与DFLE65相关的自变量。然后,在调整了老年人(65岁及以上)比例和人口密度后,对选定的24个自变量进行多元线性回归分析。
多元线性回归分析显示,每10万人口中公共卫生护士数量多、自我报告的健康状况良好以及老年工人比例高与两性的DFLE65长显著相关。
这三个因素可能解释了日本老年人口DFLE的差异。