Evidence map›Paper›PMID 30923491›Full record

ArticleJournal of Korean medical science2019

The Trends in Health Life Expectancy in Korea according to Age, Gender, Education Level, and Subregion: Using Quality-Adjusted Life Expectancy Method.

Min-Woo Jo, Wanu Seo, So Yun Lim, Minsu Ock

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Observational
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  9. A Review of the Types and Characteristics of Healthy Life Expectancy and Methodological Issues.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022
    Review
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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

4 authors.

Min-Woo JoDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4574-1318
Wanu SeoDepartment of Education and Training, Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-3470-9387
So Yun LimDepartment of Education and Training, Asan Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-5647-3718
Minsu OckDepartment of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.ORCID https://orcid.org/0000-0001-9949-9224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality-adjusted life expectancy (QALE) means life expectancy (LE) reflecting health-related quality of life and is one of the indicators of healthy LE. We determined the trends in QALE in Korea by age, gender, educational level, and subregion from 2005 to 2013.

methodsWe applied the Sullivan method to estimate QALE. We calculated QALE from 2005 to 2013 by gender and QALE for 2005 and 2010 by educational level at the national level. Furthermore, we estimated QALE for 2005, 2008, and 2011 by subregion according to metropolitan and provincial levels.

resultsPopulation health in Korea measured by LE and QALE at age 0 increased steadily from 2005 to 2013. Annual percent changes of LE and QALE in men were 0.52 and 0.73, respectively (

conclusionWe showed that QALE could be easily calculated and be an appropriate measure for tracking the overall population's health level. The results from this study are expected to aid the Ministry of Health of Republic of Korea in setting up a goal for the National Health Plan.

Indexed as

Quality-Adjusted Life YearsAge FactorsEducational StatusFemaleHealth StatusHumansLife ExpectancyMalePopulation HealthRepublic of KoreaSex FactorsHealth Status DisparitiesLife ExpectancyQuality of LifeRepublic of Korea

Identifiers

PMID30923491
PMCPMC6434147

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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.