Evidence map›Paper›PMID 30398038›Full record

ArticleDiabetes & metabolism journal2019

Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data.

Inkyung Baik

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in Diabetes & metabolism journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Antiobesity and Antidiabetic Effects ofEvidence-based complementary and alternative medicine : eCAM · 2021
    Article
  7. Smoking as a Target for Prevention of Diabetes.Diabetes & metabolism journal · 2020
    Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Inkyung BaikDepartment of Foods and Nutrition, College of Science and Technology, Kookmin University, Seoul, Korea. ibaik@kookmin.ac.kr.ORCID 0000-0002-9524-4344
Kookmin University · KR

Funding

NRF NRF-2017-R1A2A2A05001380
6 · The paper itself

Abstract

backgroundA number of studies have reported future prevalence estimates for diabetes mellitus (DM), but these studies have been limited for the Korean population. The present study aimed to construct a forecasting model that includes risk factors for type 2 DM using individual- and national-level data for Korean adults to produce prevalence estimates for the year 2030.

methodsTime series data from the Korea National Health and Nutrition Examination Survey and national statistics from 2005 to 2013 were used. The study subjects were 13,908 male and 18,697 female adults aged 30 years or older who were free of liver cirrhosis. Stepwise logistic regression analysis was used to select significant factors associated with DM prevalence.

resultsThe results showed that survey year, age, sex, marital, educational, or occupational status, the presence of obesity or hypertension, smoking status, alcohol consumption, sleep duration, psychological distress or depression, and fertility rate significantly contributed to the 8-year trend in DM prevalence (

conclusionThe present study projected a two-fold increase in the prevalence of DM in 2030 compared with that for the years 2013 and 2014 in Korean adults. Modifiable factors contributing to this increase in DM prevalence, such as obesity, smoking, and psychological factors, may require attention in order to reduce national and individual costs associated with DM.

Indexed as

AdultAlcohol DrinkingBirth RateDiabetes Mellitus, Type 2FemaleForecastingHumansHypertensionMaleNutrition SurveysObesityPrevalencePsychological DistressRepublic of KoreaRisk FactorsSleepDiabetes mellitusForecastingPrevalenceRisk factors

Identifiers

PMID30398038
PMCPMC6387874
OpenAlexW2898823196

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.