Evidence map›Paper›PMID 30704529›Full record

ArticleBMC medicine2019

Are China's oldest-old living longer with less disability? A longitudinal modeling analysis of birth cohorts born 10 years apart.

Zuyun Liu, Ling Han, Qiushi Feng, Matthew E Dupre, Danan Gu, Heather G Allore, Thomas M Gill, Collin F Payne

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
15.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 55 citations in OpenAlex.

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  8. Everyday life experiences of Chinese community-dwelling oldest old who live alone at home.International journal of qualitative studies on health and well-being · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Zuyun LiuDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Ling HanDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Qiushi FengDepartment of Sociology, National University of Singapore, Singapore, Singapore.
Matthew E DupreDepartment of Population Health Sciences, Duke University, Durham, NC, USA.
Danan GuIndependent Researcher, New York, NY, USA.
Heather G AlloreDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Thomas M GillDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Collin F PayneSchool of Demography, Research School of Social Sciences, Australian National University, 9 Fellows Road, Acton, ACT, Canberra, 2601, Australia. Collin.Payne@anu.edu.au.ORCID 0000-0002-3061-1609
Yale University · USAustralian National University · AUDuke University · USNational University of Singapore · SG

Funding

UF FIELD CENTERU01AG022376 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PAHOR, MARCO · 2003 to 2015
$83.3M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Demographic Analysis on Determinants of Healthy Longevity in ChinaR01AG023627 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2004 to 2014
$3.9M
ACADEMIC LEADERSHIP AWARD IN DISABILITY AND DISABLING DISORDERSK07AG043587 · NIA · YALE UNIVERSITY · PI GILL, THOMAS MICHAEL · 2013 to 2017
$645k
NIA NIH HHS K07 AG043587NIA NIH HHS K07AG043587NIA NIH HHS P30 AG021342NIA NIH HHS R01 AG023627NIA NIH HHS U01 AG022376
6 · The paper itself

Abstract

backgroundChina has transitioned from being one of the fastest-growing populations to among the most rapidly aging countries worldwide. In particular, the population of oldest-old individuals, those aged 80+, is projected to quadruple by 2050. The oldest-old represent a uniquely important group-they have high demand for personal assistance and the highest healthcare costs of any age group. Understanding trends in disability and longevity among the oldest-old-that is, whether successive generations are living longer and with less disability-is of great importance for policy and planning purposes.

methodsWe utilized data from successive birth cohorts (n = 20,520) of the Chinese oldest-old born 10 years apart (the earlier cohort was interviewed in 1998 and the later cohort in 2008). Disability was defined as needing personal assistance in performing one or more of five essential activities (bathing, transferring, dressing, eating, and toileting) or being incontinent. Participants were followed for age-specific disability transitions and mortality (in 2000 and 2002 for the earlier cohort and 2011 and 2014 for the later cohort), which were then used to generate microsimulation-based multistate life tables to estimate partial life expectancy (LE) and disability-free LE (DFLE), stratified by sex and age groups (octogenarians, nonagenarians, and centenarians). We additionally explored sociodemographic heterogeneity in LE and DFLE by urban/rural residence and educational attainment.

resultsMore recently born Chinese octogenarians (born 1919-1928) had a longer partial LE between ages 80 and 89 than octogenarians born 1909-1918, and octogenarian women experienced an increase in partial DFLE of 0.32 years (P = 0.004) across the two birth cohorts. Although no increases in partial LE were observed among nonagenarians or centenarians, partial DFLE increased across birth cohorts, with a gain of 0.41 years (P < 0.001) among nonagenarians and 0.07 years (P = 0.050) among centenarians. Subgroup analyses revealed that gains in partial LE and DFLE primarily occurred among the urban resident population.

conclusionsSuccessive generations of China's oldest-old are living with less disability as a whole, and LE is expanding among octogenarians. However, we found a widening urban-rural disparity in longevity and disability, highlighting the need to improve policies to alleviate health inequality throughout the population.

Indexed as

Health Status DisparitiesAged, 80 and overAsian PeopleChinaCohort StudiesDisability EvaluationFemaleHumansLife ExpectancyLongevityMalePersons with DisabilitiesAgingBirth cohortChinaDisabilityLife expectancyMortalityOldest-old

Identifiers

PMID30704529
PMCPMC6357399
OpenAlexW2941858703

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.