Evidence map›Paper›PMID 36797787›Full record

ArticleBMC public health2023

The impact of migration-related characteristics on the risk of TORCH infections among women of childbearing age: a population-based study in southern China.

Rui Li, Lu Han, Wenxue Xiong, Wenjuan Wang, Chaonan Fan, Mingzhen Li, Xiaohua Liu, Li Ling

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. 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
0.9field-weighted citation impact, top 26% 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, 4 citations in OpenAlex.

  1. Review
  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

8 authors at 1 institution in 1 country.

Rui Li *Faculty of Medical Statistic, School of Public Health, Sun Yat-sen University, 510080, Guangzhou, Guangdong, China.
Lu Han *NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), 510600, Guangzhou, China.
Wenxue Xiong *Faculty of Medical Statistic, School of Public Health, Sun Yat-sen University, 510080, Guangzhou, Guangdong, China.
Wenjuan WangFaculty of Medical Statistic, School of Public Health, Sun Yat-sen University, 510080, Guangzhou, Guangdong, China.
Chaonan FanFaculty of Medical Statistic, School of Public Health, Sun Yat-sen University, 510080, Guangzhou, Guangdong, China.
Mingzhen LiNHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), 510600, Guangzhou, China.
Xiaohua LiuNHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), 510600, Guangzhou, China. liuxiaohua618@163.com.
Li LingFaculty of Medical Statistic, School of Public Health, Sun Yat-sen University, 510080, Guangzhou, Guangdong, China. lingli@mail.sysu.edu.cn.
Sun Yat-sen University · CN

Funding

Medical Science and Technology Foundation of Guangdong Province,China A2022314Medical Science and Technology Foundation of Guangdong Province,China A2022326
6 · The paper itself

Abstract

backgroundTORCH infections are the most common prenatal infections causing congenital malformation and infant mortality, especially in developing countries. Migrant women might be vulnerable to TORCH infections, but little is known about the association between migration-related characteristics and TORCH infection risk. This study aimed to investigate the impact of migrant status, migration distance, and the spouse's migrant status on the TORCH epidemic among women of childbearing age.

methodsBased on the National Free Preconception Health Examination Project, we analyzed a representative dataset of TORCH infections among women of childbearing age (15-49 years old) in Guangdong Province of China (2014-2019, n = 2,451,297). The past and/or recent infection status of TORCH infections (Toxoplasma gondii [TOX], Cytomegalovirus [CMV], and Rubella virus [RV]) were identified. Demographic and migration-related characteristics were collected. We thoroughly assessed the prevalence of TORCH infections in both migrant and native women and estimated adjusted odd ratios (aOR) for migration-related characteristics using multivariable logistic regression after adjusting the other sociodemographic factors.

resultsAmong all 2,451,297 participants, 443,725 (18.1%) were migrant women. Migrant women presented a lower risk of past TOX infection (aOR: 0.89, 0.88-0.91) suggesting a healthy migrant effect (HME), but a higher risk of recent TOX infection (aOR: 1.88, 1.77-1.99), past CMV infection (aOR: 1.26, 1.25-1.28) and RV infection in natural ways (aOR: 1.05, 1.04-1.06). Compared with intra-provincial migrants, inter-provincial migrants had a lower past TOX infection (aOR: 0.88, 0.85-0.91), but a higher risk of recent TOX infection (aOR: 1.16, 1.05-1.27) and RV infection (aOR: 1.33, 1.31-1.36). In addition, having a migrant spouse was associated with a higher risk for all types of infection.

conclusionThis study reported the association of migrant status and migration distance with TORCH infections, although the significance and directionality of these associations varied between pathogens. The spouse's migrant status further amplified the infection risk for all types of pathogens. Our findings suggested interventions for preventing the spread of CMV and RV infection and new acquisition of TOX infection for migrants in southern China, to narrow the native-migrant health inequity and decrease the incidence of prenatal infections and related adverse outcomes.

Indexed as

Cytomegalovirus InfectionsToxoplasmaAdolescentAdultChinaCytomegalovirusFemaleHumansMiddle AgedPregnancyRubella virusYoung AdultHealthy migrant effectMigrantsTORCH infectionsWomen of childbearing age

Identifiers

PMID36797787
PMCPMC9933307
OpenAlexW4321104496

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.