日本65岁预期寿命与环境因素的生态学研究外文翻译资料

 2022-12-22 06:12

Archives of Gerontology and Geriatrics 43 (2006) 85–91

www.elsevier.com/locate/archger

Life expectancy at the age of 65 years and environmental factors: An ecological study in Japan

Kazushi Okamoto*

Department of Epidemiology, Aichi Prefectural College of Nursing and Health, Togoku Kamishidami, Moriyama-ku, Nagoya 463-8502, Japan

Received 5 April 2005; received in revised form 7 September 2005; accepted 12 September 2005

Available online 10 November 2005

Abstract

The purpose of this study was to examine the factors associated with life expectancy at the age of 65 yearsusedastheindexoflongevity,usingpublisheddatainJapan.Lifeexpectancyattheageof65years wasobtainedfromthe19thlifetablein2000publishedbytheMinistryofHealth,LabourandWelfareof Japan. The associations between life expectancy at the age of 65 years and environmental factors were assessed by Spearman correlation coefficients. Life expectancy at the age of 65 years was higher in females (22.54 years) than in males (17.42 years). In this study, the number of public health nurses and leisuretimeperdaywerefoundsignificantlyassociatedwithlifeexpectancyattheageof65yearsinboth menandwomen.Formen,lifeexpectancyattheageof65yearswassignificantlyassociatedwithleisure time for sports and exercises and higher proportion of participation in volunteer activities in the community; for women, it was associated with a higher number of hospitals and proportion of participation in educational classes for the aged. Our ecological study might provide some clues to more practical planning for longevity in consideration of gender differences. # 2005 Elsevier Ireland Ltd. All rights reserved.

Keywords: Life expectancy; Ecological study; Geographical distribution; Longevity; Health care service

Introduction

Several countries (including Japan) have reported an increase in life expectancy. Many researchers have put efforts to identify the determinants of longevity such as socioeconomic status and lifestyle (Hatano, 1980; Okamoto et al., 1994; Lin et al., 2003). According to Lin et al. (2003), who examined the relationship between life expectancy and socioeconomic

* Tel.: 81 52 736 1401; fax: 81 52 736 1415. E-mail address: okamoto@aichi-nurs.ac.jp.

0167-4943/$ – see front matter # 2005 Elsevier Ireland Ltd. All rights reserved.

doi:10.1016/j.archger.2005.09.005

factors, longer expectancy was observed for individuals with higher levels of education and income, and for those who were married and employed in the USA. Cockerham (1997) also reportedthatpoorhealthlifestylesaremajorsocialdeterminantsoflifeexpectancyinRussia. With a few exceptions, most of these analytical studies have examined residents living in a specificareaandsmallnumberofsamples.Itispossiblethatlargeintra-individualvariability in the measurement of exposure will attenuate the associations. Ecological studies may be less subject to the effects of random error in the measurement of exposure. It is interesting to studytheecologicallifestyleandenvironmentalfactorsassociatedwithlongevityinJapan,as average life expectancy here is now the longest in the world. The uniformity of the data sources on demographic data and socioeconomic and environmental factors for all the geographical units within Japan is also advantageous.

According to Wingard (1984), two categories of lifestyle characteristics, i.e. social roles and behaviors are associated with male–female differences in health, and those factors may act synergistically on health. In Japan, women have a healthier lifestyle such as exercising more, smoking cigarettes less, and following healthier diets, compared with men. It is likely that there are gender differences in the factors associated with longevity. Very little is known about gender differences in the factors associated with longevity.

The aim of the research described here is to examine gender difference in the relationship between environmental factors such as socioeconomic, social and healthrelated behaviors and life expectancy at the age of 65 years, which is closely associated with longevity, using published statistics in Japan.

Methods

The figure of life expectancy of 65 years was obtained from the 19th life table published by the Ministry of Health, Labour and Welfare of Japan (2000). In this analysis, this table was used as an index for fluctuation of life expectancy at the age of 65 years by prefecture.

Environmental factors used to examine the relationship with life expectancy were as follows: yearly average air temperature, yearly sunshine hours, ratio of population 65 years old, ratio of employees in a primary industry, ratio of employees in a tertiary industry, benefits paid per actual beneficiary of national annuity, ratio of welfare expenditure for the aged, the number of public health nurses (person), general hospitals (per 100,000 persons), time spent per day at work, time spent per day in hobbies and amusements, time spent per day for sports, participation in community activities, and education classes for the aged.

The associations between life expectancy at the age of 65 years and environmental factors were assessed by Spearman correlation coefficients. All calculations were performed by SPSS Ver. 11.0 for Windows (Statistical Package for the Social Science, SPSS Inc., Chicago, Illinois).

Results

The national overall life expectancy of 65 years was higher in females (22.54 years) than in males (17.42 years) (Table 1). The relationship between the studied factors and life

Table 1

Distribution of ratio of life expectancy at the age of 65 years by sex

Region

Males

Life expectancy at the age of 65 years

RR

Females

Life expectancy at the age of 65 years

RR

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Archives of Gerontology and Geriatrics 43 (2006) 85–91

www.elsevier.com/locate/archger

日本65岁预期寿命与环境因素的生态学研究

日本 Kazushi Okamoto

爱知县平均寿命

日本名古屋市森山区上口县护理与健康学院流行病学系,邮编:463-8502

2005年4月5日收到;2005年9月7日收到修订版;2005年9月12日接受

2005年11月10日在线发布

摘要:

本研究的目的是利用日本公开的数据,对65岁时与预期寿命相关的因素进行调查,从2000年日本健康、劳动和福利部公布的第19份寿命表中得出65岁的预期寿命。采用Spearman相关系数评估65岁预期寿命与环境因素之间的关系。女性(22.54岁)65岁时的预期寿命高于男性(17.42岁)。在本研究中,护士的人数和每天的闲暇时间与女性65岁以上的预期寿命有着显著的关联,而65岁以上老人的预期寿命与体育锻炼的闲暇时间有着显著的关联,并且在社区志愿者活动中的参与比例更高;对于女性来说,65岁以上的预期寿命与女性65岁以下的预期寿命有着显著的关联。预兆是,这与医院数量增加量和老年人参加学习班的比例有关。考虑到性别差异,我们的生态研究可能为更实际的长寿规划提供一些线索。

关键词:预期寿命;生态学研究;地理分布;寿命;康健服务

引言

一些国家(包括日本)报告预期寿命增加。许多研究人员致力于确定寿命的决定因素,如社会经济地位和生活方式(Hatano,1980;Okamoto等人,1994;Lin等人,2003)。根据Lin等人(2003年)考查了预期寿命与社会经济因素之间的关系,发现受教育程度和收入水平较高的个人以及在美国结婚和就业的人的预期寿命更长。Cockerham(1997年)还报告说,俄罗斯预期寿命的主要社会决定因素是自始至终的生活方式。除了少数例外,大多数分析研究都对居住在特定区域和少量样本的居民进行了检查。暴露测量中的大个体内变异性可能会减弱相关性。生态研究可能较少受到暴露测量中随机误差的影响。由于日本的平均预期寿命是目前世界上最长的,因此,研究日本长寿病和环境因子是很有意义的。日本境内所有地理单位的人口数据和社会经济和环境因素数据来源的统一性在研究中也很有优势。

根据Wingard(1984),两类生活方式特征,即社会角色和行为与男女健康差异有关,这些因素可能对健康产生协同作用。在日本,与男性相比,女性拥有更健康的生活方式,如多运动、少吸烟和遵循更健康的饮食。与长寿相关的因素很可能存在性别差异。关于长寿相关因素的性别差异知之甚少。

本文所述研究的目的是利用日本公布的统计数据,研究社会经济、社会和健康相关行为等环境因素与65岁预期寿命之间的性别差异,这与寿命密切相关。

方法

65岁的预期寿命是根据日本卫生、劳动和福利部(2000年)出版的第19份寿命表得出的。本分析以该表作为各地区65岁预期寿命波动的指标。

环境因素与预期寿命的关系主要有:年平均气温、年日照时数、65岁人口比例、第一产业从业人员比例、第三产业从业人员比例、国民年金实际受益人领取的福利费比例、福利费支出比例。对老年人而言,包括公共卫生护士(人)、综合医院(每10万人)、每天工作时间、每天业余爱好和娱乐时间、每天体育时间、参与社区活动和老年人教育课程。

本文采用Spearman相关系数评估65岁预期寿命与环境因素之间的关系。所有计算均由SPSS进行。SPSS版本:11.0 for Windows(社会科学统计软件包,SPSS公司,伊利诺伊州芝加哥)。

结论

女性(22.54岁)的全国总预期寿命高于男性(17.42岁)(表1)。研究因素与生活的关系

表 1

65岁预期寿命性别比分布

地区

男性

 

女性

 

65岁时的预期寿命

65岁时的预期寿命

RR

RR

日本全国

17.42

22.54

1.Hokkaido

17.79

0.37

22.87

0.33

2.Aomori

16.52

1.27

21.87

1

3.Iwate

17.33

0.81

22.51

0.64

4.Miyagi

17.53

0.2

22.48

0.03

5.Akita

17.05

0.48

22.12

0.36

6.Yamagata

17.57

0.52

22.18

0.06

7.Fukushima

17.19

0.38

22.19

0.01

8.Ibaragi

17.29

0.1

22.12

0.07

9.Tochigi

17.26

0.03

22.06

0.06

10.Gunma

17.63

0.37

22.28

0.22

11.Saitama

17.55

0.08

22.14

0.14

12.Chiba

17.67

0.12

22.25

0.11

13.Tokyo

17.79

0.12

22.26

0.01

14.Kanagawa

17.78

0.01

22.5

0.24

15.Niigata

17.6

0.18

22.85

0.35

16.Toyama

17.79

0.19

22.99

0.14

17.Ishikawa

17.55

0.24

22.9

0.09

18.Fukui

17.93

0.38

23.05

0.15

19.Yamanashi

17.85

0.08

23.01

0.04

20.Nagano

18.38

0.53

22.91

0.1

21.Gifu

17.67

0.71

22.22

0.69

22.Shizuoka

17.67

0

22.6

0.38

23.Aichi

17.48

0.19

22.02

0.58

24.Mie

17.51

0.03

22.39

0.37

25.Shiga

17.41

0.1

22.48

0.09

26.Osaka

17.74

0.33

22.63

0.15

27.Kyoto

16.98

0.76

21.93

0.7

28.Hyogo

17.42

0.44

22.19

0.26

29.Nara

17.7

0.28

22.34

0.15

30.Wakayama

17.23

0.47

22.17

0.17

31.Tottori

17.46

0.23

22.75

0.58

32.Shimane

17.77

0.31

23.27

0.52

33.Okayama

17.73

0.04

22.97

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