Evidence map›Paper›PMID 37392319›Full record

ArticleEuropean journal of ageing2023

Length of the period with late life dependency: Does the age of onset make a difference?

Susanne Kelfve, Jonas W Wastesson, Bettina Meinow

Abstract read
In one paragraph

Article in European journal of ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Susanne KelfveDepartment of Culture and Society, Linköping University, Norrköping, Sweden. susanne.kelfve@liu.se.ORCID http://orcid.org/0000-0001-9369-1928
Jonas W WastessonDepartment of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet & Stockholm University, Solna, Sweden.ORCID http://orcid.org/0000-0001-7601-4319
Bettina MeinowDepartment of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet & Stockholm University, Solna, Sweden.ORCID http://orcid.org/0000-0002-2059-9474

Funding

Forskningsrådet om Hälsa, Arbetsliv och Välfärd 2016-00197Vetenskapsrådet 2016-01072
6 · The paper itself

Abstract

There is a gap in knowledge about factors associated with the duration of late life dependency. In this study, we measured how the age at onset of late life dependency relates to the time spent with late life dependency. Using Swedish register data, we identified people 70 + who entered the period of late life dependency (measured by entering long-term care for help with PADLs) between June and December 2008. We followed this cohort (n = 17,515) for 7 years, or until death. We used Laplace regression models to estimate the median number of months with late life dependency by age group, gender, level of education and country of birth. We also calculated the crude percentiles (p10, p25, p50, p75 and p90) of month with late life dependency, by age group, gender and cohabitation status. Results show that the majority spent a rather long period with dependency, the median number of months were 40.0 (3.3 years) for women and 22.6 (1.9 year) for men. A higher age at entry was associated with a shorter duration of dependency, an association that was robust to adjustment for cohabiting at baseline, gender, education and country of birth. Our results suggest that older adults who postpone the start of dependency also compress the time with dependency, this lends support to the ambitions of public health initiatives and interventions targeting maintained independence in older adults.

Indexed as

Fourth ageGender differencesLast years of lifeLiving aloneLong-term care

Identifiers

PMID37392319
PMCPMC10314882

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.