Evidence map›Paper›PMID 27669270›Full record

ArticleInternational journal of environmental research and public health2016

Menopausal Age and Chronic Diseases in Elderly Women: A Cross-Sectional Study in Northeast China.

Yingli Fu, Yaqin Yu, Shibin Wang, Joseph Sam Kanu, Yueyue You, Yingyu Liu, Yangyu Zhang, Yawen Liu, Bo Li, Yuchun Tao and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  6. Menopause Is More Than Just Loss of Fertility.The Public policy and aging report · 2023
    Article
  7. Article
  8. Bone Mineral Density and Hemoglobin Levels: Opposite Associations in Younger and Older Women.International journal of environmental research and public health · 2021
    Article
  9. Article
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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

11 authors at 1 institution in 1 country.

Yingli FuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. fuyingli318@126.com.
Yaqin YuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. yuyaqin5540@163.com.
Shibin WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. spiriorwang@126.com.
Joseph Sam KanuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. samjokanu@yahoo.com.
Yueyue YouDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. yyy841109@163.com.
Yingyu LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. liuyy15@mails.jlu.edu.cn.
Yangyu ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. yyzhang15@mails.jlu.edu.cn.
Yawen LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. ywliu@jlu.edu.cn.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. libo2016tougao@sina.com.
Yuchun TaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. taoyuchun@163.com.
Changgui KouDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China. koucg@jlu.edu.cn.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many factors affect menopausal age, and early or late onset of menopause may be associated with many chronic health problems. However, limited data are available regarding this phenomenon in the Northeast China population. For this study, 2011 elderly women were selected as a sample from participants in a cross-sectional survey performed using stratified, clustered multistage, and random sampling methods. Early menopause was more prevalent in subjects born from 1943 to 1947 (OR = 1.708, 95% CI = 1.205, 2.420) and 1933 to 1937 (OR = 2.445, 95% CI: 1.525, 3.921) and in physical laborers (OR = 1.413, 95% CI = 1.021, 1.957). Women with less than nine years of education (OR = 0.515, 95% CI: 0.327, 0.812) and who were current smokers (OR = 0.577, 95% CI: 0.347, 0.959) were less likely to have late menopause. BMIs between 25 and 30 (OR = 1.565, 95% CI: 1.152, 2.125) and greater than 30 (OR = 2.440, 95% CI: 1.482, 4.016) were associated with later menopausal age. Late menopause was positively associated with diabetes (OR = 1.611, 95% CI: 1.142, 2.274) but protective against chronic gastroenteritis/peptic ulcers (OR = 0.533, 95% CI: 0.333, 0.855). Results showed that (1) Being born in an earlier year, having a lower education, and engaging in physical labor were associated with an earlier menopausal age, while a higher BMI was associated with a later menopausal age; and that (2) menopausal age was associated with diabetes and gastroenteritis in elderly women living in Northeast China.

Indexed as

AgingChinaChronic DiseaseCross-Sectional StudiesDiabetes MellitusEducational StatusFemaleGastroenteritisHumansMenopauseMiddle AgedPeptic UlcerPrevalenceSocial Classchronic diseaseelderly womenmenopausal age

Identifiers

PMID27669270
PMCPMC5086675
OpenAlexW2523486433

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.