Evidence map›Paper›PMID 32571278›Full record

ArticleBMC endocrine disorders2020

Relationships between menstrual status and obesity phenotypes in women: a cross-sectional study in northern China.

Xueyu Chen, Hui Xi, Long Ji, Weihua Liu, Fengxue Shi, Yanru Chen, Xiaohui Wang, Wenran Zhang, Xinxia Sui, Xiaojun Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2020. 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
1.1field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  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

13 authors at 4 institutions in 1 country.

Xueyu ChenSchool of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
Hui XiDepartment of Cardiology, Peking University International Hospital, Beijing, China.
Long JiSchool of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
Weihua LiuSchool of nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
Fengxue ShiThe Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong Province, China.
Yanru ChenSchool of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
Xiaohui WangSchool of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
Wenran ZhangSchool of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
Xinxia SuiSchool of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
Xiaojun WangSchool of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China.
Haitao ZhangTaian Maternal and Child Health Hospital, Tai'an, Shandong Province, China.
Huamin LiuSchool of Public Health, Southern Medical University, Guangzhou, Guangdong Province, China.
Dong LiSchool of public health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, Shandong Province, China. tsmcdongli@163.com.
Shandong First Medical University · CNAffiliated Hospital of Taishan Medical University · CNPeking University International Hospital · CNSouthern Medical University · CN

Funding

Academic promotion programme of Shandong First Medical University 2019RC010National Natural Science Foundation of China 81973138National Natural Science Foundation of China (CN) 81773527
6 · The paper itself

Abstract

backgroundOne of most important concerns of postmenopausal women is obesity. The relationships between menstruation status and obesity phenotypes are unclear. This study aimed to assess the associations between menstrual status and different obesity phenotypes in women.

methodsIn total, 5373 women aged ≥40 years were recruited from the Jidong and Kailuan communities. Basic information was collected via clinical examination, laboratory testing and standardized questionnaires. The women were stratified into the following three groups: menstrual period, menopausal transition period and postmenopausal period. General obesity was defined as a body mass index (BMI) of ≥28 kg/m

resultsThe numbers of women in the menstrual, menopausal transition, and postmenopausal periods were 2807 (52.2%), 675 (12.6%) and 1891 (35.2%), respectively. The adjusted odds ratio (OR) and 95% confidence interval (CI) for central obesity among women in the menopausal transition and postmenopausal periods compared with women in the menstrual period were 0.99 (0.82-1.19) and 1.52 (1.26-1.84), respectively. The OR for NAFLD among postmenopausal women was 1.78 (1.44-2.20). The adjusted β-coefficient (standard error, SE) for PFV among postmenopausal women was 41.25 (7.49). The adjusted OR for general obesity among postmenopausal women was 1.01 (0.77-1.34).

conclusionsThis study demonstrated that menopause is an independent risk factor for central and visceral obesity but not general obesity.

Indexed as

Body Mass IndexMenopausePhenotypeAdultChinaCross-Sectional StudiesFemaleFollow-Up StudiesHumansMiddle AgedObesityPrognosisMenstruationObesityPhenotypesPostmenopausal

Identifiers

PMID32571278
PMCPMC7310131
OpenAlexW3036499210

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.