Estimating health expectancy in Japanese communities using mortality rate and disability prevalence
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DOI[10.31662/jmaj.2023-0058]to the data of the same series
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- Material Type
- 記事
- Title
- Author/Editor
- Rikuya HosokawaToshiyuki OjimaTomoya MyojinJun AidaKatsunori KondoNaoki Kondo
- Publication, Distribution, etc.
- Publication Date
- 2024-01-15
- Publication Date (W3CDTF)
- 2024-01-15
- Periodical title
- JMA Journal
- No. or year of volume/issue
- 7(1)
- Volume
- 7(1)
- ISSN (Periodical Title)
- 2433-3298
- ISSN-L (Periodical Title)
- 2433-328X
- Text Language Code
- eng
- DOI
- 10.31662/jmaj.2023-0058
- Persistent ID (NDL)
- info:ndljp/pid/14495082
- Collection
- Collection (Materials For Handicapped People:1)
- Collection (particular)
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- Acquisition Basis
- インターネット資料収集保存事業（WARP）
- Date Accepted (W3CDTF)
- 2025-10-21T09:04:40+09:00
- Date Captured (W3CDTF)
- 2024-09-26
- Format (IMT)
- application/pdf
- Access Restrictions
- インターネット公開
- Availability of remote photoduplication service
- 不可
- Periodical Title (URI)
- Periodical Title (Persistent ID (NDL))
- info:ndljp/pid/14495078
- Data Provider (Database)
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- Summary, etc.
- <p><b>Introduction:</b> Although mortality and disability are known to be associated with health expectancy (LE), few studies have assessed the extent to which a reduction in their prevalence can extend a person' s LE. Moreover, differences in this relationship based on gender have not been established. Thus, in this study, we constructed a regression model using the rate of mortality and prevalence of disability to predict LE in older adults (≥65 years) and assess the relationships between LE, mortality rate, and disability prevalence based on gender.</p><p><b>Methods:</b> Data were collected from Japan' s population registry and long-term insurance records (N = 344). Multiple linear regression was used to analyze the relationship between LE, mortality rate, and disability prevalence, stratified by gender.</p><p><b>Results:</b> Age-adjusted mortality rate and disability prevalence significantly predicted LE and were significantly correlated with the measured LE index for both genders. For every 1% annual decrease in age-adjusted mortality, LE increased by 1.54 years for men and 2.15 years for women. Similarly, a 1% annual decrease in age-adjusted disability prevalence increased LE by 0.22 years for men and 0.32 years for women. The regression model coefficients indicated that the strength of the association between LE, mortality rate, and disability prevalence differed between genders. Our model accurately predicted LE (men: adjusted R<sup>2</sup> = 0.968, women: adjusted R<sup>2</sup> = 0.994).</p><p><b>Conclusions:</b> Health promotion policies that are geared toward increasing health expectancy can be evaluated using mortality rate and disability prevalence as prognostic indicators. The strength of the association between LE, mortality, and disability differed between genders, suggesting the need for gender-specific policy planning to increase LE for both genders.</p>
- DOI
- 10.31662/jmaj.2023-0058
- Access Restrictions
- インターネット公開
- Data Provider (Database)
- 科学技術振興機構 : J-STAGE
- Summary, etc.
- <p><b>Introduction:</b> Although mortality and disability are known to be associated with health expectancy (LE), few studies have assessed the extent to which a reduction in their prevalence can extend a person' s LE. Moreover, differences in this relationship based on gender have not been established. Thus, in this study, we constructed a regression model using the rate of mortality and prevalence of disability to predict LE in older adults (≥65 years) and assess the relationships between LE, mortality rate, and disability prevalence based on gender.</p><p><b>Methods:</b> Data were collected from Japan' s population registry and long-term insurance records (N = 344). Multiple linear regression was used to analyze the relationship between LE, mortality rate, and disability prevalence, stratified by gender.</p><p><b>Results:</b> Age-adjusted mortality rate and disability prevalence significantly predicted LE and were significantly correlated with the measured LE index for both genders. For every 1% annual decrease in age-adjusted mortality, LE increased by 1.54 years for men and 2.15 years for women. Similarly, a 1% annual decrease in age-adjusted disability prevalence increased LE by 0.22 years for men and 0.32 years for women. The regression model coefficients indicated that the strength of the association between LE, mortality rate, and disability prevalence differed between genders. Our model accurately predicted LE (men: adjusted R<sup>2</sup> = 0.968, women: adjusted R<sup>2</sup> = 0.994).</p><p><b>Conclusions:</b> Health promotion policies that are geared toward increasing health expectancy can be evaluated using mortality rate and disability prevalence as prognostic indicators. The strength of the association between LE, mortality, and disability differed between genders, suggesting the need for gender-specific policy planning to increase LE for both genders.</p>
- DOI
- 10.31662/jmaj.2023-0058
- Access Restrictions
- インターネット公開
- Related Material (URI)
- Data Provider (Database)
- 国立情報学研究所 : CiNii Research
- Original Data Provider (Database)
- Japan Link Center学術機関リポジトリデータベース雑誌記事索引データベースCrossref
- Bibliographic ID (NDL)
- 14495082