Estimating health expectancy in Japanese communities using mortality rate and disability prevalence
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DOI[10.31662/jmaj.2023-0058]のデータに遷移します
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- 資料種別
- 記事
- タイトル
- 著者・編者
- Rikuya HosokawaToshiyuki OjimaTomoya MyojinJun AidaKatsunori KondoNaoki Kondo
- 出版年月日等
- 2024-01-15
- 出版年(W3CDTF)
- 2024-01-15
- タイトル(掲載誌)
- JMA Journal
- 巻号年月日等(掲載誌)
- 7(1)
- 掲載巻
- 7(1)
- ISSN(掲載誌)
- 2433-3298
- ISSN-L(掲載誌)
- 2433-328X
- 本文の言語コード
- eng
- DOI
- 10.31662/jmaj.2023-0058
- 国立国会図書館永続的識別子
- info:ndljp/pid/14495082
- コレクション(共通)
- コレクション(障害者向け資料:レベル1)
- コレクション(個別)
- 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
- 収集根拠
- インターネット資料収集保存事業(WARP)
- 受理日(W3CDTF)
- 2025-10-21T09:04:40+09:00
- 保存日(W3CDTF)
- 2024-09-26
- 記録形式(IMT)
- application/pdf
- オンライン閲覧公開範囲
- インターネット公開
- 遠隔複写可否(NDL)
- 不可
- 掲載誌(国立国会図書館永続的識別子)
- info:ndljp/pid/14495078
- 連携機関・データベース
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- 要約等
- <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
- オンライン閲覧公開範囲
- インターネット公開
- 連携機関・データベース
- 科学技術振興機構 : J-STAGE
- 要約等
- <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
- オンライン閲覧公開範囲
- インターネット公開
- 関連情報(URI)
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- 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
- 書誌ID(NDLBibID)
- 14495082