Evidence map›Paper›PMID 32928139›Full record

Observational studyBMC pregnancy and childbirth2020

Prevalence of anemia and sociodemographic characteristics among pregnant and non-pregnant women in southwest China: a longitudinal observational study.

Yu Wu, Hanfeng Ye, Jihong Liu, Qiuyue Ma, Yanling Yuan, Qian Pang, Jue Liu, Cai Kong, Min Liu

Abstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. The Role of Digital Technology in Preventing Anemia Among Pregnant Women: A Scoping Review.International journal of telemedicine and applications · 2025
    Review
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  11. Observational
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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

9 authors.

Yu WuDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, 100191, Beijing, China.
Hanfeng YeYunnan Population and Family Planning Research Institute, No.146, Qingnian Road, Wuhua District, Yunnan, 650021, Kunming, China.
Jihong LiuThe Second Affiliated Hospital of Kunming Medical University, No.1168, Chunrong west Road, Chenggong District, Yunnan, 650500, Kunming, China.
Qiuyue MaDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, 100191, Beijing, China.
Yanling YuanYunnan Population and Family Planning Research Institute, No.146, Qingnian Road, Wuhua District, Yunnan, 650021, Kunming, China.
Qian PangThe Second Affiliated Hospital of Kunming Medical University, No.1168, Chunrong west Road, Chenggong District, Yunnan, 650500, Kunming, China.
Jue LiuDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, 100191, Beijing, China.
Cai KongYunnan Population and Family Planning Research Institute, No.146, Qingnian Road, Wuhua District, Yunnan, 650021, Kunming, China.
Min LiuDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, 100191, Beijing, China. liumin@bjmu.edu.cn.

Funding

National Natural Science Foundation of China 71874003
6 · The paper itself

Abstract

backgroundGlobally, the prevalence of anemia among women of reproductive age is about 29.4%, and anemia impacts about 40% of pregnant women and more than 20% of non-pregnant women. We conducted a longitudinal observational study of anemia in pregnant and non-pregnant women, and analyzed the association between the prevalence of anemia and sociodemographic characteristics of women in southwest China.

methodsThis study was a longitudinal observational study which involved 640,672 women aged 18-49 years from 129 counties in southwest China. Data were from databases of National Free Preconception Health Examination Project (NFPHEP) and electronic medical records of local hospitals. We adjusted the diagnostic thresholds of anemia for altitude. The prevalence of anemia was expressed in percentages and 95% confidence intervals (95% CI). The association between the prevalence of anemia and sociodemographic characteristics of pregnant and non-pregnant women were analyzed using univariate and multivariate logistic regression method, expressed in crude odds ratio (cOR), adjusted odds ratio (aOR) and 95%CI.

resultsOf the 640,672 participants, 121,254 women suffered from anemia, with the prevalence of 18.9% (95%CI: 18.8-19.0%). From 2014 to 2018, the prevalence of anemia declines from 23.0-16.4%.The prevalence was 21.6% in the first trimester, higher than women in non-pregnancy (17.4%) and women in the third trimester (10.5%). Results from the multivariable logistic regression showed that women aged 18-20 (aOR = 1.28) or over 35 years old (aOR = 1.07), being farmers (aOR = 1.42), being ethnic minorities (aOR: 1.19 ~ 1.73), during the first trimester (aOR = 1.32) were more likely to be anemic.

conclusionsAlthough the anemia prevalence of women of reproductive age has been decreasing in recent years, the prevalence of anemia is still high in pregnant and non-pregnant women in southwest China, especially during the first trimester. Women who were older or younger, being farmers, being ethnic minorities were at high risk of anemia. Anemia in women of reproductive age cannot be neglected.

Indexed as

AdolescentAdultAnemiaChinaDemographyFemaleHumansLongitudinal StudiesMiddle AgedPregnancyPregnancy Complications, HematologicPrevalenceSocial FactorsYoung AdultAnemiaPrevalenceSouthwest ChinaWomen`s health

Identifiers

PMID32928139
PMCPMC7488658

What OpenQuestion holds

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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.