Evidence map›Paper›PMID 33380475›Full record

ArticleBMJ open2020

Projecting the prevalence of obesity in South Korea through 2040: a microsimulation modelling approach.

Yoon-Sun Jung, Young-Eun Kim, Dun-Sol Go, Seok-Jun Yoon

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Anti-Obesity Effects ofInternational journal of molecular sciences · 2025
    Article
  5. Calculating epidemiological outcomes from simulated longitudinal data.medRxiv : the preprint server for health sciences · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. International journal of molecular sciences · 2023
    Article
  11. Article
  12. Article
  13. NovelInternational journal of molecular sciences · 2022
    Article
  14. Article
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.

Yoon-Sun JungDepartment of Public Health, Graduate School, Korea University, Seoul, Korea (the Republic of).
Young-Eun KimBig Data Department, National Health Insurance Service, Wonju, Korea (the Republic of).
Dun-Sol GoDepartment of Health Care Policy Research, Korea Institute for Health and Social Affairs, Sejong, Korea (the Republic of).
Seok-Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea (the Republic of) yoonsj02@korea.ac.kr.ORCID 0000-0003-3297-0071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo project the prevalence of obesity in 2040 among individuals 19 years and older in South Korea. DESIGN, SETTING, AND

participantsUsing the 'Population Health Model-body mass index' (BMI) microsimulation model, the prevalence of obesity in Korean adults 19 years and older was projected until 2040. The model integrated individual survey data from the Korea Health Panel Survey of 2011 and 2012, population statistics based on resident registration, population projections and complete life tables categorised by sex and age. Birth rate, life expectancy and international migration were based on a medium growth scenario. The base population of Korean adults in 2012, devised through data aggregation, was 39 842 730. The prediction equations were formulated using BMI as the dependent variable; the individual's sex, age, smoking status, physical activity and preceding year's BMI were used as predictive factors. OUTCOME MEASURE: BMI categorised by sex.

resultsThe median BMI for Korean adults in 2040 was expected to be 23.55 kg/m

conclusionsWe explored the possibility of applying and expanding on the concept of microsimulation in the field of healthcare by combining data sources available in Korea and found that more than half of the adults in this study population will be preobese, and the proportions of 'obesity' and 'normal' will decrease compared with those in 2012. The results of our study will aid in devising healthy strategies and spreading public awareness for preventing this condition.

Indexed as

ObesityAdultBody Mass IndexFemaleHealth SurveysHumansMalePrevalenceRepublic of Koreahealth policypreventive medicinepublic health

Identifiers

PMID33380475
PMCPMC7780552

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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.