Evidence map›Paper›PMID 35596933›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2022

Metabolically healthy and unhealthy obesity and risk of vasomotor symptoms in premenopausal women: cross-sectional and cohort studies.

Sunju Namgoung, Yoosoo Chang, Chae-Yeon Woo, Yejin Kim, Jeonggyu Kang, Ria Kwon, Ga-Young Lim, Hye Rin Choi, Kye-Hyun Kim, Hoon Kim and 6 more

Abstract read
In one paragraph

Article in BJOG : an international journal of obstetrics and gynaecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Metabolic Syndrome, a Human Disease.International journal of molecular sciences · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

16 authors.

Sunju NamgoungCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yoosoo ChangCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-6945-9050
Chae-Yeon WooCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yejin KimCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jeonggyu KangCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ria KwonCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ga-Young LimCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hye Rin ChoiCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kye-Hyun KimDepartment of Obstetrics and Gynaecology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hoon KimDepartment of Obstetrics and Gynaecology, Seoul National University College of Medicine, Seoul, Korea.
Yun Soo HongDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Di ZhaoDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Juhee ChoDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Eliseo GuallarDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Hyun-Young ParkDepartment of Precision Medicine, National Institute of Health, Korea Disease Control and Prevention Agency (KDCA), Cheongju, Korea.
Seungho RyuCentre for Cohort Studies, Total Healthcare Centre, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-3927-8646

Funding

Korea Centers for Disease Control & Prevention 2014ER630200Korea Centers for Disease Control & Prevention 2017ER630200Korea Centers for Disease Control & Prevention 2020ER71020Korea Centers for Disease Control & Prevention 2020-ER7102-00Korea Centers for Disease Control & Prevention 2020ER710201SKU Excellence in Research Award Research Fund, 2020Sungkyunkwan University
6 · The paper itself

Abstract

objectiveTo examine the relationship between metabolically healthy and unhealthy obesity phenotypes and risk of vasomotor symptoms (VMS) in premenopausal women.

designProspective cohort study.

settingMiddle-aged women in a cohort based on regular health screening examinations. POPULATION: Premenopausal Korean women aged 42-52 years were recruited and were followed up for a median of 4.2 years. The cross-sectional and cohort studies comprised 4672 women and 2590 women without VMS at baseline, respectively.

methodsAdiposity measures included body mass index (BMI), waist circumference and percentage body fat. Being metabolically healthy was defined as not having any metabolic syndrome components or a homeostasis model assessment of insulin resistance of 2.5 or more. MAIN OUTCOMES MEASURES: VMS (hot flushes and night sweats) assessed using the questionnaire.

resultsAll adiposity measures were positively associated with an increased risk of VMS in both cross-sectional and longitudinal studies. The multivariable-adjusted prevalence ratio (95% confidence interval [CI]) for VMS comparing percentage body fat of 35% or more with the reference was 1.47 (95% CI 1.14-1.90) in metabolically healthy women, and the corresponding prevalence ratio was 2.32 (95% CI 1.42-3.78) in metabolically unhealthy women (P

conclusionsMaintaining normal weight and being metabolically healthy may help to prevent VMS in premenopausal women. TWEETABLE ABSTRACT: Avoiding obesity and a metabolically unhealthy status may help reduce vasomotor symptoms in premenopausal women.

Indexed as

Health StatusObesityBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleHumansProspective StudiesRisk Factorsbody compositionbody mass indexcohort studymetabolic healthobesitypercentage body fatpremenopausal womenvasomotor symptomswaist circumference

Identifiers

PMID35596933
PMCPMC9541406

What OpenQuestion 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 OpenQuestion graph.