Evidence map›Paper›PMID 31435643›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Age, Period, and Cohort Effects on Activities of Daily Living, Physical Performance, and Cognitive Functioning Impairment Among the Oldest-Old in China.

Pei-Dong Zhang, Yue-Bin Lv, Zhi-Hao Li, Zhao-Xue Yin, Fu-Rong Li, Jiao-Nan Wang, Xi-Ru Zhang, Jin-Hui Zhou, Xian-Bo Wu, Jun Duan and 2 more

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 60 citations in OpenAlex.

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  16. Development and Validation of the Disability Index Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 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

12 authors at 3 institutions in 1 country.

Pei-Dong ZhangDivision of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Yue-Bin LvNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhi-Hao LiDivision of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Zhao-Xue YinDivision of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Fu-Rong LiDivision of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Jiao-Nan WangNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Xi-Ru ZhangDivision of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Jin-Hui ZhouNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Xian-Bo WuDivision of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Jun DuanDepartment of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China.
Chen MaoDivision of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Xiao-Ming ShiNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Southern Medical University · CNChinese Center For Disease Control and Prevention · CNAnhui Medical University · CN

Funding

THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2009 to 2020
$10.2M
NIA NIH HHS P01 AG031719
6 · The paper itself

Abstract

backgroundThe aim of this study was to examine the trends in impairment regarding activities of daily living (ADL), physical performance, and cognitive function among the oldest-old (those aged 80 and older) in China between 1998 and 2014.

methodsWe used data on 34,297 oldest-old individuals from the seven waves of the Chinese Longitudinal Healthy Longevity Study. We estimated age, period, and cohort effects on the prevalence of self-reported ADL impairment, tested physical performance and cognitive function impairment using the age-period-cohort model.

resultsRegarding age, the prevalence of ADL, physical performance, and cognitive function impairment were highest in the centenarians, but they did not increase with age in this population. Among the literate subgroup, the prevalence of cognitive impairment increased more rapidly with age than that in the illiterate subgroup. Regarding period, the prevalence of self-reported and tested physical impairment slowly increased between 1998 and 2014, but cognitive impairment remained stable. Regarding cohort, ADL impairment continuously decreased. However, physical and cognitive impairment remained stable after a brief decline in the early birth cohorts.

conclusionsThe results suggest that the age effect is still the most obvious effect regarding several types of functional impairment. The likelihood of a younger person experiencing functional impairment may not change significantly, but ADL is likely to be amenable to improvement resulting from improved medical and social care. Therefore, increased care for the oldest-old may considerably improve their quality of life, particularly regarding their basic ADL.

Indexed as

Activities of Daily LivingPhysical FitnessAged, 80 and overAge FactorsChinaCognitive DysfunctionFemaleHumansLongitudinal StudiesMaleMental Status and Dementia TestsRisk FactorsAgeCognitioncohort modelLongevityperiodPhysical performance

Identifiers

PMID31435643
PMCPMC7984417
OpenAlexW2969742062

What OpenQuestion holds

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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.