Changes in disability-free life expectancy (DFLE) at birth between 2000 and 2010 across Japanese prefectures

Sugawara, Yuka; Saito, Yasuhiko

doi:10.1007/s00038-016-0847-3

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…Life expectancy has increased dramatically over the past 70 years in high-income countries including Australia, where a boy born today can expect to live over 81 years and a girl 85 years [1,2]. However, the gain in life expectancy has not corresponded with similar increases in heathy or disability-free life expectancy (DFLE) for all [3][4][5][6]. A growing number of older people experience multiple chronic conditions and a high disability burden, posing huge challenges for healthcare systems and governments worldwide.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Education and Lifestyle Factors on Disability-Free Life Expectancy From Mid-Life to Older Age: A Multi-Cohort Study

Rahman

Jagger²,

Leigh³

et al. 2022

Int J Public Health

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Objectives: Low education and unhealthy lifestyle factors such as obesity, smoking, and no exercise are modifiable risk factors for disability and premature mortality. We aimed to estimate the individual and joint impact of these factors on disability-free life expectancy (DFLE) and total life expectancy (TLE).Methods: Data (n = 22,304) were from two birth cohorts (1921–26 and 1946–51) of the Australian Longitudinal Study on Women’s Health and linked National Death Index between 1996 and 2016. Discrete-time multi-state Markov models were used to assess the impact on DFLE and TLE.Results: Compared to the most favourable combination of education and lifestyle factors, the least favourable combination (low education, obesity, current/past smoker, and no exercise) was associated with a loss of 5.0 years TLE, 95% confidence interval (95%CI): 3.2–6.8 and 6.4 years DFLE (95%CI: 4.8–7.8) at age 70 in the 1921–26 cohort. Corresponding losses in the 1946–51 cohort almost doubled (TLE: 11.0 years and DFLE: 13.0 years).Conclusion: Individual or co-ocurrance of lifestyle risk factors were associated with a significant loss of DFLE, with a greater loss in low-educated women and those in the 1946–51 cohort.

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Section: Introductionmentioning

confidence: 99%

The Impact of Education and Lifestyle Factors on Disability-Free Life Expectancy From Mid-Life to Older Age: A Multi-Cohort Study

Rahman

Jagger²,

Leigh³

et al. 2022

Int J Public Health

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“…This is consistent with the evidence of a reduction in the proportion of life spent without disability in the UK. This pattern was also observed in: all high-income countries combined in the Global Burden of Disease studies, 36–38 Norway, 26 Belgium, 19 Japan 22 23 and the USA 33 for all, and in Switzerland 31 and Sweden 30 for men but not women. This points to evidence of an expansion of disability in a number of high-income countries, although not always consistently between men and women.…”

Section: Resultsmentioning

confidence: 57%

“…16 Two of the UK studies were ONS reports. 15 16 The remaining studies reported trends in Belgium, 17–19 Canada, 20 Denmark, 21 Japan, 22 23 the Netherlands, 24 25 Norway, 26 Republic of Korea, 27 28 Sweden, 29 30 Switzerland 31 and the USA. 32–35 Three Global Burden of Disease studies were included, which reported trends across multiple countries, and high-income countries combined.…”

Section: Resultsmentioning

confidence: 99%

Trends in health expectancies: a systematic review of international evidence

et al. 2021

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ObjectivesA clear understanding of whether increases in longevity are spent in good health is necessary to support ageing, health and care-related policy.DesignWe conducted a systematic review to update and summarise evidence on trends in health expectancies, in Organisation for Economic Co-operation and Development (OECD) high-income countries.Data sourcesFour electronic databases (MEDLINE, 1946–19 September 2019; Embase 1980–2019 week 38; Scopus 1966–22 September 2019, Health Management Information Consortium, 1979–September 2019), and the UK Office for National Statistics website (November 2019).Eligibility criteriaEnglish language studies published from 2016 that reported trends in healthy, active and/or disability-free life expectancy in an OECD high-income country.Data extraction and synthesisRecords were screened independently by two researchers. Study quality was assessed using published criteria designed to identify sources of bias in studies reporting trends, and evidence summarised by narrative synthesis.FindingsTwenty-eight publications from 11 countries were included, covering periods from 6 to 40 years, between 1970 and 2017. In most countries, gains in healthy and disability-free life expectancy do not match the growth in total life expectancy. Exceptions were demonstrated for women in Sweden, where there were greater gains in disability-free years than life expectancy. Gains in healthy and disability-free life expectancy were greater for men than women in most countries except the USA (age 85), Japan (birth), Korea (age 65) and Sweden (age 77).ConclusionAn expansion of disability in later life is evident in a number of high-income countries, with implications for the sustainability of health and care systems. The recent COVID-19 pandemic may also impact health expectancies in the longer term.

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“…Although the basic local government unit responsible for planning and conducting actions for Health Japan 21 is the municipality [9] , most previous monitoring of health inequalities in HLE has reported at prefecture level and examined the association with prefecture-level areal SES only. [10] , [11] , [12] , [13] No study has reported on the SES-based inequalities in LE, HLE, and non-healthy life expectancy (NHLE) across municipalities. Therefore, in this study we aimed to measure SES-based inequalities in LE, HLE, and NHLE using the geographical socioeconomic deprivation index based on municipality-level data in Japan.…”

Section: Introductionmentioning

confidence: 99%

Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study

Kataoka

Fukui

Sato

et al. 2021

The Lancet Regional Health - Western Pacific

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Background: Area differences in life expectancy (LE) and healthy life expectancy (HLE) in large geographical units have been monitored around the world. Area characteristics may be based on culture, history, socioeconomic status and discrimination in smaller geographical units, so it is important to consider these when looking at health inequality. We aimed to evaluate LE, HLE, and non-healthy life expectancy (NHLE) in 1707 municipalities using Areal Deprivation Index (ADI) in Japan for the first time.Methods: We calculated the observed LE, HLE, and NHLE using death, population, and Long-term care insurance data for 2010-2014 and applied the variance weighted least squares model to estimate LE, HLE, and NHLE by 100 percentiles using the standardized ADI. Findings:The estimated LE, HLE, and NHLE became lower as the deprivation index worsened: the differences between the most and least deprived areas for HLE were 2 •49 years for LE and 2 •32 years for HLE in males; 1 •22 years for LE and 0 •93 years for HLE in females. The observed LE and HLE in the most deprived areas were much lower than other areas.Interpretation: Using ADI has enabled us to see the disparity within municipalities precisely. LE and HLE outlier for the 100th percentile might be linked to historical areal deprivation and marginalization. Precise monitoring of socioeconomic status-based health inequalities could help manage these inequalities by identifying the groups most in need of intervention.

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Changes in disability-free life expectancy (DFLE) at birth between 2000 and 2010 across Japanese prefectures

Cited by 7 publications

References 19 publications

The Impact of Education and Lifestyle Factors on Disability-Free Life Expectancy From Mid-Life to Older Age: A Multi-Cohort Study

The Impact of Education and Lifestyle Factors on Disability-Free Life Expectancy From Mid-Life to Older Age: A Multi-Cohort Study

Trends in health expectancies: a systematic review of international evidence

Geographical socioeconomic inequalities in healthy life expectancy in Japan, 2010-2014: An ecological study

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