Evidence map›Paper›PMID 32353089›Full record

ArticlePloS one2020

Disability-free life expectancy and life expectancy in good self-rated health in Chile: Gender differences and compression of morbidity between 2009 and 2016.

Ximena Moreno, Lydia Lera, Cecilia Albala

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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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

3 authors.

Ximena MorenoInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.ORCID 0000-0002-0586-4364
Lydia LeraInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
Cecilia AlbalaInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChile has one of the highest life expectancies at 60 years in South America. This study was aimed to determine healthy life expectancies among Chilean older people, according to self-rated health and disability, and to explore gender differences.

methodsData from the National Survey of Health (2009 and 2016) were used to estimate prevalence of less than good self-rated health and disability among people aged 60 years and above. Health expectancies were calculated with the Sullivan method.

resultsIn both years, women expected to live a lower proportion of their life expectancy in good self-rated health (54.5% [95% CI 50.0-58.8] for men and 37.6% [95% CI 34.3-40.8] for women in 2009; 46.1% [95% CI 42.6-49.7] for men and 38.5% [95% CI 35.6-41.4] for women in 2016). Life expectancy in less than good self-rated health increased for men (9.4 years [95% CI 8.4-10.3] in 2009; 11.5 years [95% CI 10.7-12.2]). Women expected to live a lower proportion of their remaining life without disabilities (65.3% [95% CI 61.2-69.4] for men and 44.9% [95% CI 41.9-47.9] for women in 2009; 71.9% [95% CI 68.7-75.0] for men and 61.1% [95% CI 58.5-63.8] for women in 2016). In 2016, disability-free life expectancy increased among women, but they still had a higher life expectancy with mild disability (2.8 years [95% CI 2.3-3.4] for men and 6.0 years [95% CI 5.4-6.7] for women).

conclusionsWomen expected to spend more years in less than good self-rated health and disabled. There was an expansion of life expectancy in less than good SRH among men and a compression of disability in both sexes. The high proportion of years expected to be lived in less than good self-rated health and gender differences in disability-free life expectancy of older adults should be addressed by public health policies in Chile.

Indexed as

Anticipation, PsychologicalDiagnostic Self EvaluationLife ExpectancyAgedAged, 80 and overChileDisability EvaluationFemaleGeriatric AssessmentHumansMaleMiddle AgedMorbiditySelf ReportSex Factors

Identifiers

PMID32353089
PMCPMC7192428

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LicenceCC BY
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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.