Evidence map›Paper›PMID 27649213›Full record

ArticleInternational journal of environmental research and public health2016

Prevalence and Sociodemographic and Lifestyle Determinants of Anemia during Pregnancy: A Cross-Sectional Study of Pregnant Women in China.

Xianglong Xu, Sheng Liu, Yunshuang Rao, Zumin Shi, LianLian Wang, Manoj Sharma, Yong Zhao

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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Anemia in Pregnancy: Study Phenomenology.Portuguese journal of public health · 2024
    Article
  5. First Trimester Preeclampsia Screening and Prevention: Perspective in Chinese Mainland.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China.International journal of environmental research and public health · 2017
    Article
  14. Article
  15. 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

7 authors at 5 institutions in 3 countries.

Xianglong XuSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China. xianglong1989@126.com.
Sheng LiuSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China. ls19940904@163.com.
Yunshuang RaoSchool of Nursing, Chongqing Medical University, Chongqing 400016, China. rys0606@163.com.
Zumin ShiFaculty of Health Sciences, School of Medicine, The University of Adelaide, North Terrace, Adelaide, SA 5005, Australia. zumin.shi@adelaide.edu.au.
LianLian WangThe Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China. llian_w@163.com.
Manoj SharmaDepartment of Behavioral and Environmental Health, Jackson State University, Jackson, MS 39213, USA. manoj.sharma@jsums.edu.
Yong ZhaoSchool of Public Health and Management, Chongqing Medical University, Chongqing 400016, China. zhaoyong@cqmu.edu.cn.
Chongqing Public Health Medical Center · CNChongqing Medical University · CNJackson State University · USThe Affiliated Yongchuan Hospital of Chongqing Medical University · CNThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to assess the differences regarding anemia among pregnant women with diverse characteristics and lifestyle factors.

methodsA cross-sectional study of pregnant women was conducted between June and August 2015 in 16 hospitals in five provinces of Mainland China. Self-reported doctor-diagnosed anemia was used in the study.

resultsWe included 2345 pregnant women. Of the participants, 1755 (74.8%) were pregnant women of first pregnancy (PWFP) and 590 (25.2%) were second pregnancy (PWSP). The mean age of the participants was 28.1 years (SD 4.1). Overall, the prevalence of anemia was 12.7% (13.4% and 10.7% among PWFP and PWSP, respectively). The prevalence for not eating breakfast was 11.0%. Compared with PWFP, PWSP was inversely associated with the risk of anemia (odds ratio (OR) 0.66, 95% CI 0.48-0.91). Compared with those being registered in a low ranking hospital, pregnant women who were admitted to a high (OR 0.40, 95% CI 0.28-0.57) or a medium ranking hospital (OR 0.58, 95% CI 0.37-0.92) were inversely associated with the risk of anemia. Compared with women of low income (<¥4,500), those with high income were less likely to have anemia (OR 0.68, 95% CI 0.50-0.94). Compared with women with non-manual jobs, women with manual jobs (OR 1.70, 95% CI 1.17-2.45) and unemployed women (OR 1.42, 95% CI 1.04-1.93) were associated with a greater likelihood of suffering from anemia.

conclusionsPregnant women not eating breakfast are of concern. Anemia is highly prevalent among pregnant women in China. Lower socio-economic status, manual jobs, PWFP, and those who attend a lower quality hospital have a greater likelihood of suffering from anemia. Tailored interventions are needed to address these issues.

Indexed as

Life StyleAdultAnemiaChinaCross-Sectional StudiesFeeding BehaviorFemaleHumansOdds RatioPregnancyPregnancy Complications, HematologicPrevalenceRisk FactorsSocioeconomic FactorsanemiaChinalifestylepregnant womensociodemographic

Identifiers

PMID27649213
PMCPMC5036741
OpenAlexW2519334275

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.