Evidence map›Paper›PMID 22143174›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2011

Deprivation and mortality at the town level in Busan, Korea: an ecological study.

Min Hyeok Choi, Kyu Seok Cheong, Byung Mann Cho, In Kyung Hwang, Chang Hun Kim, Myoung Hee Kim, Seung Sik Hwang, Jeong Hun Lim, Tae Ho Yoon

Abstract readEvaluation Study
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Measurement of Socioeconomic Position in Research on Cardiovascular Health Disparities in Korea: A Systematic Review.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2019
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  10. The Association between Material Deprivation and Avoidable Mortality in Lisbon, Portugal.International journal of environmental research and public health · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Min Hyeok ChoiDepartment of Preventive & Occupational Medicine, School of Medicine, Pusan National University, Busan, Korea. yoonth@pusan.ac.kr
Kyu Seok Cheong
Byung Mann Cho
In Kyung Hwang
Chang Hun Kim
Myoung Hee Kim
Seung Sik Hwang
Jeong Hun Lim
Tae Ho Yoon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBusan is reported to have the highest mortality rate among 16 provinces in Korea, as well as considerable health inequality across its districts. This study sought to examine overall and cause-specific mortality and deprivation at the town level in Busan, thereby identifying towns and causes of deaths to be targeted for improving overall health and alleviating health inequality.

methodsStandardized mortality ratios (SMRs) for all-cause and four specific leading causes of death were calculated at the town level in Busan for the years 2005 through 2008. To construct a deprivation index, principal components and factor analysis were adopted, using 10% sample data from the 2005 census. Geographic information system (GIS) mapping techniques were applied to compare spatial distributions between the deprivation index and SMRs. We fitted the Gaussian conditional autoregressive model (CAR) to estimate the relative risks of mortality by deprivation level, controlling for both the heterogeneity effect and spatial autocorrelation.

resultsThe SMRs of towns in Busan averaged 100.3, ranging from 70.7 to 139.8. In old inner cities and towns reclaimed for replaced households, the deprivation index and SMRs were relatively high. CAR modeling showed that gaps in SMRs for heart disease, cerebrovascular disease, and physical injury were particularly high.

conclusionsOur findings indicate that more deprived towns are likely to have higher mortality, in particular from cardiovascular disease and physical injury. To improve overall health status and address health inequality, such deprived towns should be targeted.

Indexed as

Health Status DisparitiesCause of DeathConfidence IntervalsGeographic Information SystemsHealth Services AccessibilityHumansKoreaLife ExpectancyMortalityNormal DistributionPovertyRegression AnalysisRiskSocioeconomic Factors

Identifiers

PMID22143174
PMCPMC3249263

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LicenceCC BY-NC
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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.