Evidence map›Paper›PMID 24516578›Full record

ArticlePloS one2014

The contribution of diseases to the male-female disability-survival paradox in the very old: results from the Newcastle 85+ study.

Andrew Kingston, Karen Davies, Joanna Collerton, Louise Robinson, Rachel Duncan, John Bond, Thomas B L Kirkwood, Carol Jagger

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.8field-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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Disability trajectories in the last years of life: a Swedish longitudinal multi-cohort study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  4. Article
  5. Article
  6. Longevity Science and Women's Health and Wellbeing.Journal of population ageing · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Sex Differences in Comorbidity and Frailty in Europe.International journal of public health · 2019
    Article
  18. Article
  19. Review
  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

8 authors at 2 institutions in 1 country.

Andrew KingstonInstitute for Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom.
Karen DaviesInstitute for Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom.
Joanna CollertonInstitute for Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom.
Louise RobinsonInstitute for Health and Society, Newcastle University, Newcastle upon Tyne, United Kingdom.
Rachel DuncanInstitute for Health and Society, Newcastle University, Newcastle upon Tyne, United Kingdom.
John BondInstitute for Health and Society, Newcastle University, Newcastle upon Tyne, United Kingdom.
Thomas B L KirkwoodInstitute for Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom.
Carol JaggerInstitute for Ageing and Health, Newcastle University, Newcastle upon Tyne, United Kingdom.
Newcastle University · GBNewcastle Hospitals - Campus for Ageing and Vitality · GB

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G0500997Medical Research Council MR/J50001X/1Medical Research Council MR/K006312/1The Dunhill Medical Trust R124/0509
6 · The paper itself

Abstract

backgroundExplanations for the male-female disability-survival paradox - that woman live longer than men but with more disability - include sex differences in diseases and their impact on disability and death. Less is known about the paradox in the very old. We examine sex differences in the presence and impact of disabling and fatal diseases accounting for the male-female disability-survival paradox in very late life.

methodsWe use data from the Newcastle 85+ Study, a cohort of people born in 1921 and all recruited at age 85 in 2006. Participants underwent a health assessment (HA) at baseline, 18 months, 36 months, 60 months, and a review of their GP records (GPRR) at baseline and 36 months. We used multi-state modelling to assess the impact of specific diseases on disability and death. Disability (measured via ADLs/IADLs) was categorised as no disability (difficulty with 0 activities), or disabled (difficulty with one or more activities). Diseases were ascertained from review of general practice records and cognitive impairment which was defined as an sMMSE of 21 or less (from health assessment).

resultsIn participants who had complete HA and GPRR, women had more arthritis (RR = 1.2, 95% CI: 1.1-1.3) and hypertension (RR = 1.2, 95%CI 1.0-1.3), more disability, and were more likely disabled at all follow-ups. From multistate models, women with cerebrovascular disease (HR: 2.6, 95% CI: 2.1-3.4) or respiratory disease (HR: 2.0, 95% CI: 1.4-3.0) were more likely to become disabled than those without but this did not hold for men (sex difference p<0.01). Men were more likely to die from respiratory disease (HR: 2.2, 95% CI: 1.8-2.8) but this did not hold for women (p = 0.002).

conclusionThe disability-survival paradox was still evident at age 85 and appears due to sex differences in the types of diseases and their impact on the disability pathway.

Indexed as

Activities of Daily LivingGeriatric AssessmentPersons with DisabilitiesSex CharacteristicsAged, 80 and overFemaleHealth StatusHumansMale

Identifiers

PMID24516578
PMCPMC3917849
OpenAlexW2035893359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.