Evidence map›Paper›PMID 35596684›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

Ideal Cardiovascular Health Metrics and Risk of Incident Early-Onset Vasomotor Symptoms Among Premenopausal Women.

Hye Rin Choi, Yoosoo Chang, Yejin Kim, Yoosun Cho, Jeonggyu Kang, Min-Jung Kwon, Ria Kwon, Ga-Young Lim, Kye-Hyun Kim, Hoon Kim and 7 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

17 authors.

Hye Rin ChoiCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
Yoosoo ChangCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.ORCID 0000-0002-6945-9050
Yejin KimCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
Yoosun ChoTotal Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
Jeonggyu KangCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
Min-Jung KwonCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
Ria KwonCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
Ga-Young LimCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
Kye-Hyun KimDepartment of Obstetrics and Gynecology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Republic of Korea.
Hoon KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Republic of 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 21205, USA.
Jihwan ParkDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, 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 21205, USA.ORCID 0000-0002-9978-6773
Juhee ChoCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.
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 21205, USA.
Hyun-Young ParkDepartment of Precision Medicine, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Republic of Korea.
Seungho RyuCenter for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.ORCID 0000-0002-3927-8646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe relationship of ideal cardiovascular health (CVH) behaviors with preventing early-onset vasomotor symptoms (VMSs) is unknown.

objectiveWe investigated the association between CVH metrics and the development of early-onset VMSs in premenopausal women.

methodsThis cohort study included 2541 premenopausal women aged 42 to 52 years without VMSs at baseline. CVH metrics were defined according to the American Heart Association Life Simple 7 metrics. Owing to limited availability of dietary information, CVH metrics were scored from 0 (unhealthy) to 6 (healthy) and classified into 3 groups: poor (0-2), intermediate (3-4), and ideal (5-6) CVH. VMSs, including hot flashes and night sweats, were assessed using the Menopause-Specific Quality of Life questionnaire. Moderate/severe VMSs was defined as a score of 3 or more points (range, 0 to 6; 6 being most bothersome).

resultsDuring a median follow-up of 4.5 years, 1241 women developed VMSs before menopause. After adjustment for age, parity, education level, and alcohol consumption, the hazard ratio (HR) (95% CI) for developing early-onset VMSs comparing poor CVH group to the ideal group was 1.41 (1.07-1.86). CVH scores were also inversely associated with moderate/severe VMSs in a dose-response manner (P for trend = .004); specifically, multivariable-adjusted HRs comparing intermediate and poor CVH groups to the ideal group were 1.20 (95% CI, 1.02-1.43) and 1.57 (95% CI, 1.08-2.29), respectively.

conclusionUnfavorable CVH metrics were significantly associated with an increased risk of early-onset VMSs and its more severe forms among premenopausal women.

Indexed as

Cardiovascular DiseasesCardiovascular SystemCohort StudiesFemaleHealth StatusHumansQuality Indicators, Health CareQuality of LifeRisk FactorsUnited Statescardiovascular health metricsmenopausevasomotor symptoms

Identifiers

PMID35596684
PMCPMC9387697

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.