Evidence map›Paper›PMID 27979837›Full record

ArticleBMJ open2016

Trends in activities of daily living disability in a large sample of community-dwelling Chinese older adults in Hong Kong: an age-period-cohort analysis.

Ruby Yu, Moses Wong, Billy Chang, Xin Lai, C M Lum, T W Auyeung, Jenny Lee, Kelvin Tsoi, Ruby Lee, Jean Woo

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Non-Communicable Diseases, Longevity, and Health Span: A Hong Kong Perspective.International journal of environmental research and public health · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

10 authors.

Ruby YuDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Moses WongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Billy ChangDivision of Biostatistics, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Xin LaiDivision of Biostatistics, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
C M LumDepartment of Medicine and Geriatrics, Shatin Hospital, Hong Kong, China.
T W AuyeungDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Jenny LeeDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Kelvin TsoiStanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Hong Kong, China.
Ruby LeeDepartment of Health, Government of Hong Kong SAR, Hong Kong, China.
Jean WooDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo examine the trends in activities of daily living (ADL) disability in older Chinese adults in Hong Kong between 2001 and 2012.

methodsUsing data from the Elderly Health Centres (EHCs) of the Department of Health comprising a total of 54 808 community-dwelling Chinese adults aged ≥65 years in 1 early cohort (1904-1917) and 10 3-year birth cohorts (1918-1920, 1921-1923, 1924-1926, 1927-1929, 1930-1932, 1933-1935, 1936-1938, 1939-1941, 1942-1944, 1945-1947), we examined trends in ADL disability by using age-period-cohort (APC) models. ADL disability was defined as being unable to perform at least 1 of 7 ADL activities (bathing, dressing, toileting, transferring, feeding, grooming, walking) independently. Cross-classified random-effects logistic regressions were performed for each of the APC trends with adjustment for age, period, cohort, sociodemographic, lifestyle, comorbidity and self-rated health.

resultsThe mean age of the cohort was 70.9±4.7 (range 65-99) years. The prevalence rate of ADL disability was 1.6%. ADL disability increased with age (p<0.001) and the gradient of the increase was steeper in the older age groups. At the same age, women (1.7%) were more likely to report ADL disability than men (1.4%, p=0.001). For both genders, there was an increase in ADL disability between 2003 and 2012; adjustment for age, cohort and other covariates has diminished the trends observed among men. There was no cohort effect in ADL disability.

conclusionsADL disability in older adults has increased over the last decade. Further study is required to identify possible causes behind the disability trends.

Indexed as

Activities of Daily LivingDisability EvaluationAgedAged, 80 and overAge DistributionAsian PeopleFemaleGeriatric AssessmentHealth SurveysHong KongHumansLogistic ModelsLongitudinal StudiesMalePersons with DisabilitiesRisk FactorsActivities of Daily Living DisabilityAgeingAge-Period-Cohort AnalysisChinese

Identifiers

PMID27979837
PMCPMC5168605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.