Our data analyses show that female older adults in Sri Lanka face significant dis-advantages in disability status compared to their male counterparts.However,their socioeconomic statuses are generally lower than their...Our data analyses show that female older adults in Sri Lanka face significant dis-advantages in disability status compared to their male counterparts.However,their socioeconomic statuses are generally lower than their male counterparts.This is a critical issue,and it is essential for the government and society to ensure that old-age insurance and service programs benefit older women and men equally.Based on empirical data analyses,we projected households,living arrangements,and home-based care needs for disabled older adults in Sri Lanka for the period 2012-2060,using the internationally recognized ProFamy extended cohort-component method/software and conventionally available data.Our projections indicate that home-based care needs for older adults in Sri Lanka will increase substantially due to the inevitable trends of rapid population aging and the sharp rise in the oldest-old popu-lation(aged 80+).Consequently,policy reforms and socioeconomic planning are urgently needed to address the significant challenges posed by these large and rapid increases in care needs.Our projections also show that disabled unmarried elders living alone will increase at a faster rate than those disabled unmarried elders living with children.We suggest that adult children may be encouraged to live with or near their aging parents.Co-residence or proximity can reduce home-based care expendi-tures,improve the well-being and health of elderly parents,and enable them to care for their grandchildren,resulting in“win-win”outcomes.展开更多
The collection of papers in this special issue of China Population and Develop-ment Studies includes a review on Chinese Longitudinal Healthy Longevity Survey(CLHLS)and four reports on preliminary findings from the 8t...The collection of papers in this special issue of China Population and Develop-ment Studies includes a review on Chinese Longitudinal Healthy Longevity Survey(CLHLS)and four reports on preliminary findings from the 8th wave of CLHLS conducted in 2017-2018.Population of China,which is the largest developing country with 1.4 billion peo-ple in total in 2019,is aging rapidly due to rapid declines in both fertility and mor-tality.展开更多
In this commentary,we first briefly review the significant utilities of household and living arrangement projections and the main types of methods for conduct-ing household projections.In the second and third sections...In this commentary,we first briefly review the significant utilities of household and living arrangement projections and the main types of methods for conduct-ing household projections.In the second and third sections,we summarize basic ideas,data needed,assessments and applications of ProFamy extended cohort-com-ponent methods/software for households and living arrangement projections;and we emphasize the importance to extend the ProFamy methods and software from deterministic to probabilistic households and living arrangement projections.In sec-tion 4,we demonstrate that the ProFamy approach provides an adequate and highly feasible modelling framework to extend probabilistic households and living arrange-ment projections(PHPs),in which the population size/structure projection out-comes are in consistence with those of probabilistic population projections(PPPs)released by United Nations Population Division(UNPD).In the last Section,we dis-cuss and recommend applying the user-friendly R package DemoRates of ProFamy software to estimate rural/urban(or race)-sex-age-specific standard schedules and the demographic summary measures,to conduct analyses and projections,such as single-parent households,caregivers,and care needs/costs for disabled older adults,age-friendly housing and households-based energy demands,etc.for healthy aging and sustainable development studies.Finally,we discuss the prospects of our ongo-ing international collaborative research project to substantially extend ProFamy cohort-component method from deterministic into probabilistic households and living arrangement projection(PHPs).As compared with ProFamy deterministic pro-jection method,the PHPs produces a lot of additional outcomes of probabilistically projected households and living arrangements in 2021-2100 with uncertainty inter-vals that are crucial for healthy aging and sustainable development studies.展开更多
Summary What is already known on this topic?Little is known about gender differences in health,family,and socioeconomics among oldest-old in China,What is added by this report?This study aims to fill this knowledge ga...Summary What is already known on this topic?Little is known about gender differences in health,family,and socioeconomics among oldest-old in China,What is added by this report?This study aims to fill this knowledge gap through analyzing gender differences in familial status,socioeconomics,functional capacities,and self-reported wellbeing using the 1998,2008–2009,and 2017–2018 waves of the Chinese Longitudinal Healthy Longevity Survey.展开更多
基金supported by the Asian Development Bank and by the grant awarded by the Ministry of Finance and Ministry of Foreign Affairs of China under grant Sect.2 of the Collaborative Program between China and Association of Southeast Asian Nations(ASEAN).
文摘Our data analyses show that female older adults in Sri Lanka face significant dis-advantages in disability status compared to their male counterparts.However,their socioeconomic statuses are generally lower than their male counterparts.This is a critical issue,and it is essential for the government and society to ensure that old-age insurance and service programs benefit older women and men equally.Based on empirical data analyses,we projected households,living arrangements,and home-based care needs for disabled older adults in Sri Lanka for the period 2012-2060,using the internationally recognized ProFamy extended cohort-component method/software and conventionally available data.Our projections indicate that home-based care needs for older adults in Sri Lanka will increase substantially due to the inevitable trends of rapid population aging and the sharp rise in the oldest-old popu-lation(aged 80+).Consequently,policy reforms and socioeconomic planning are urgently needed to address the significant challenges posed by these large and rapid increases in care needs.Our projections also show that disabled unmarried elders living alone will increase at a faster rate than those disabled unmarried elders living with children.We suggest that adult children may be encouraged to live with or near their aging parents.Co-residence or proximity can reduce home-based care expendi-tures,improve the well-being and health of elderly parents,and enable them to care for their grandchildren,resulting in“win-win”outcomes.
文摘The collection of papers in this special issue of China Population and Develop-ment Studies includes a review on Chinese Longitudinal Healthy Longevity Survey(CLHLS)and four reports on preliminary findings from the 8th wave of CLHLS conducted in 2017-2018.Population of China,which is the largest developing country with 1.4 billion peo-ple in total in 2019,is aging rapidly due to rapid declines in both fertility and mor-tality.
基金supported by the National Key R&D Program of China(2018RFC2000400)the National Natural Science Foundation of China(72061137004)+1 种基金the grant awarded by the Ministry of Finance and Ministry of Foreign Affairs of China under grant section 2 of the Collaborative Program between China and Association of Southeast Asian Nations(ASEAN).The work of Qiushi Feng was supported by the Academic Research Fund(ACRF-TIER 2)awarded by Ministry of Education of Singaporesupported by the U.S.National Institute of Aging/National Institute of Health(P01AG031719).
文摘In this commentary,we first briefly review the significant utilities of household and living arrangement projections and the main types of methods for conduct-ing household projections.In the second and third sections,we summarize basic ideas,data needed,assessments and applications of ProFamy extended cohort-com-ponent methods/software for households and living arrangement projections;and we emphasize the importance to extend the ProFamy methods and software from deterministic to probabilistic households and living arrangement projections.In sec-tion 4,we demonstrate that the ProFamy approach provides an adequate and highly feasible modelling framework to extend probabilistic households and living arrange-ment projections(PHPs),in which the population size/structure projection out-comes are in consistence with those of probabilistic population projections(PPPs)released by United Nations Population Division(UNPD).In the last Section,we dis-cuss and recommend applying the user-friendly R package DemoRates of ProFamy software to estimate rural/urban(or race)-sex-age-specific standard schedules and the demographic summary measures,to conduct analyses and projections,such as single-parent households,caregivers,and care needs/costs for disabled older adults,age-friendly housing and households-based energy demands,etc.for healthy aging and sustainable development studies.Finally,we discuss the prospects of our ongo-ing international collaborative research project to substantially extend ProFamy cohort-component method from deterministic into probabilistic households and living arrangement projection(PHPs).As compared with ProFamy deterministic pro-jection method,the PHPs produces a lot of additional outcomes of probabilistically projected households and living arrangements in 2021-2100 with uncertainty inter-vals that are crucial for healthy aging and sustainable development studies.
基金National Key R&D Program of China(2018YFC2000400),National Natural Sciences Foundation of China(72061137004,71490732),the U.S.NIA/NIH(P01AG031719)and Duke/Duke NUS/RECA(Pilot)/2019/0051.
文摘Summary What is already known on this topic?Little is known about gender differences in health,family,and socioeconomics among oldest-old in China,What is added by this report?This study aims to fill this knowledge gap through analyzing gender differences in familial status,socioeconomics,functional capacities,and self-reported wellbeing using the 1998,2008–2009,and 2017–2018 waves of the Chinese Longitudinal Healthy Longevity Survey.
