Evidence map›Paper›PMID 25880221›Full record

ArticleBMC public health2015

The population attributable fraction of low education for mortality in South Korea with improvement in educational attainment and no improvement in mortality inequalities.

Dohee Lim, Kyoung Ae Kong, Hye Ah Lee, Won Kyung Lee, Su Hyun Park, Sun Jung Baik, Hyesook Park, Kyunghee Jung-Choi

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Observational
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.

Dohee LimDepartment of Preventive Medicine, Ewha Womans University School of Medicine, 911-1, Mok-6dong, Yang Cheon-gu, Seoul, 158-710, South Korea. elinoer@hanmail.net.
Kyoung Ae KongClinical Trial Center, Ewha Womans University Medical Center, 911-1, Mok-6dong, Yang Cheon-gu, Seoul, 158-710, South Korea. kkong@ewha.ac.kr.
Hye Ah LeeDepartment of Preventive Medicine, Ewha Womans University School of Medicine, 911-1, Mok-6dong, Yang Cheon-gu, Seoul, 158-710, South Korea. khyeah@naver.com.
Won Kyung LeeDepartment of Social and Preventive Medicine, Inha University School of Medicine, Incheon, South Korea. bluewhale65@gmail.com.
Su Hyun ParkDepartment of Preventive Medicine, Ewha Womans University School of Medicine, 911-1, Mok-6dong, Yang Cheon-gu, Seoul, 158-710, South Korea. shp323@ewha.ac.kr.
Sun Jung BaikDepartment of Preventive Medicine, Ewha Womans University School of Medicine, 911-1, Mok-6dong, Yang Cheon-gu, Seoul, 158-710, South Korea. whitesj@ewha.ac.kr.
Hyesook ParkDepartment of Preventive Medicine, Ewha Womans University School of Medicine, 911-1, Mok-6dong, Yang Cheon-gu, Seoul, 158-710, South Korea. hpark@ewha.ac.kr.
Kyunghee Jung-ChoiDepartment of Preventive Medicine, Ewha Womans University School of Medicine, 911-1, Mok-6dong, Yang Cheon-gu, Seoul, 158-710, South Korea. jungchoikh@gmail.com.
Ewha Womans University · KRInha University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe educational attainment of Koreans has greatly increased, which was expected to reduce the magnitude of the population attributable fraction (PAF) of mortality associated with low education levels. However, increase in the relative risk (RR) of mortality among those with lower educational levels actually increased the PAF. The purpose of this study was to examine the change in the PAF of lower educational levels for mortality in Korea, where educational attainment has improved and is associated with the exacerbation of inequalities in mortality levels.

methodsNational census data were used to derive educational levels. The mortality-associated RR of lower educational levels was calculated by reference to national census and death certificate data from 1995, 2000, 2005, and 2010. PAFs were calculated for all-cause mortality, malignant neoplasms, cerebrovascular disease, heart disease, and suicide by gender and age group (30-44 and 45-59 years).

resultsThe PAF of low educational level in terms of total mortality has decreased since 1995 in both genders. This trend was more prominent among those aged 30-44 years. However, the PAFs of suicide in younger females (30-44 years) and of cerebrovascular disease in older males (45-59 years) have increased. The RRs of all-cause mortality and those of the four leading causes of death in those with the lowest educational levels have increased, especially in females aged 30-44 years.

conclusionsThe consistent and sharp increase in the attainment of education has contributed to the reduction in the PAFs of lower education for mortality, despite the fact that mortality inequalities have not improved. Efforts to reduce health inequalities must promote healthy public policy and address public health policies.

Indexed as

Educational StatusHealth Status DisparitiesHealth Status IndicatorsAdultAgedAge DistributionCause of DeathChronic DiseaseFemaleHumansInfantMaleMiddle AgedMortalityNeoplasmsPopulation Surveillance

Identifiers

PMID25880221
PMCPMC4425894
OpenAlexW2077897038

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.