Evidence map›Paper›PMID 31261984›Full record

ArticleJournal of clinical medicine2019

Body Weight Fluctuation as a Risk Factor for Type 2 Diabetes: Results from a Nationwide Cohort Study.

Kye-Yeung Park, Hwan-Sik Hwang, Kyung-Hwan Cho, Kyungdo Han, Ga Eun Nam, Yang Hyun Kim, Yeongkeun Kwon, Yong-Gyu Park

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Weight Gain After Antiretroviral Therapy Initiation and Subsequent Risk of Metabolic and Cardiovascular Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  9. Article
  10. Factors Affecting High Body Weight Variability.Journal of obesity & metabolic syndrome · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 3 institutions in 1 country.

Kye-Yeung ParkDepartment of Family Medicine, Hanyang University College of Medicine, Seoul 04763, Korea.ORCID 0000-0002-4668-4853
Hwan-Sik HwangDepartment of Family Medicine, Hanyang University College of Medicine, Seoul 04763, Korea. fmhwang@hanyang.ac.kr.ORCID 0000-0002-6248-7411
Kyung-Hwan ChoDepartment of Family Medicine, Korea University College of Medicine, Seoul 02841, Korea.
Kyungdo HanDepartment of Biostatistics, the Catholic University of Korea College of Medicine, Seoul 06591, Korea.
Ga Eun NamDepartment of Family Medicine, Korea University College of Medicine, Seoul 02841, Korea.
Yang Hyun KimDepartment of Family Medicine, Korea University College of Medicine, Seoul 02841, Korea.
Yeongkeun KwonDepartment of Family Medicine, Korea University College of Medicine, Seoul 02841, Korea.
Yong-Gyu ParkDepartment of Medical Statistics, the Catholic University of Korea College of Medicine, Seoul 06591, Korea. ygpark@catholic.ac.kr.
Korea University · KRCatholic University of Korea · KRHanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate how body weight fluctuation affects the risk of developing type 2 diabetes by conducting a nationwide cohort study. A total of 3,855,884 participants from the National Health Insurance System health check-up data from 2012 were included in this study, and follow-up continued until 2016. Body weight was measured at least thrice between 2009 and 2012. Body weight variability (BWV) was estimated using average successive variability (ASV) indices. Cox proportional hazards regression models were used to evaluate the association of BWV with the risk of type 2 diabetes using hazard ratios (HRs) and 95% confidence intervals (CIs). Body weight fluctuation was associated with a higher risk of incident diabetes after adjustment for confounders (HR 1.10, 95% CI 1.07, 1.12 in the highest BWV quartile compared to the lowest). Regardless of the weight change status, the highest ASV quartile of BWV increased the risk for diabetes. Even subjects with a normal glucose tolerance status and those aged under 65 years had a higher risk of diabetes if their body weight highly fluctuated during the follow-up years. Our results suggest that body weight variability is an independent risk factor for diabetes. It is important to pay attention to frequent body weight fluctuations.

Indexed as

average successive variabilitybody weight fluctuationcohort studytype 2 diabetesweight change

Identifiers

PMID31261984
PMCPMC6678837
OpenAlexW2954938838

What Socratic 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 Socratic graph.