Evidence map›Paper›PMID 29854331›Full record

ArticleNutrition research and practice2018

Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors.

Inkyung Baik

Abstract read
In one paragraph

Article in Nutrition research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

25 citing papers in PubMed.

  1. Article
  2. Predicting Weight Control Intentions: An Extended Model of Goal-Directed Behavior.International journal of environmental research and public health · 2025
    Article
  3. Review
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  11. Article
  12. Inhibitory effect of ethanolic extract ofNutrition research and practice · 2021
    Article
  13. Article
  14. Observational
  15. Article
  16. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Inkyung BaikDepartment of Foods and Nutrition, College of Science and Technology, 77, Jeongnung-ro, Seongbuk-gu, Kookmin University, Seoul 02707, Korea.ORCID https://orcid.org/0000-0002-9524-4344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThere are few studies that forecast the future prevalence of obesity based on the predicted prevalence model including contributing factors. The present study aimed to identify factors associated with obesity and construct forecasting models including significant contributing factors to estimate the 2020 and 2030 prevalence of obesity and abdominal obesity. SUBJECTS/

methodsPanel data from the Korea National Health and Nutrition Examination Survey and national statistics from the Korean Statistical Information Service were used for the analysis. The study subjects were 17,685 male and 24,899 female adults aged 19 years or older. The outcome variables were the prevalence of obesity (body mass index ≥ 25 kg/m

resultsThe survey year, age, marital status, job status, income status, smoking, alcohol consumption, sleep duration, psychological factors, dietary intake, and fertility rate were found to contribute to the prevalence of obesity and abdominal obesity. Based on the forecasting models including these variables, the 2020 and 2030 estimates for obesity prevalence were 47% and 62% for men and 32% and 37% for women, respectively.

conclusionsThe present study suggested an increased prevalence of obesity and abdominal obesity in 2020 and 2030. Lifestyle factors were found to be significantly associated with the increasing trend in obesity prevalence and, therefore, they may require modification to prevent the rising trend.

Indexed as

abdominal fatforecastingObesityprevalencerisk factors

Identifiers

PMID29854331
PMCPMC5974071

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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.