Evidence map›Paper›PMID 40528149›Full record

ArticleWomen's health (London, England)

Association between maternal-infant health literacy, social support, and psychological stress during the perinatal period among women in Macao, China.

Man I Lai, Jialing Chen, Pedro Fong, Lirong Meng

Abstract read
In one paragraph

Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

4 authors.

Man I LaiFaculty of Health Sciences and Sports, Macao Polytechnic University, People's Republic of China.ORCID 0009-0004-0401-7640
Jialing ChenFaculty of Health Sciences and Sports, Macao Polytechnic University, People's Republic of China.ORCID 0009-0001-2430-4506
Pedro FongFaculty of Health Sciences and Sports, Macao Polytechnic University, People's Republic of China.ORCID 0000-0001-6426-3422
Lirong MengFaculty of Health Sciences and Sports, Macao Polytechnic University, People's Republic of China.ORCID 0000-0002-6013-652X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth literacy varies in multicultural areas due to differing cultural beliefs. In Macao, a multicultural city in China, the blend of traditional Chinese and Western medicine influences health literacy, particularly in maternal-infant health. However, data on this topic are limited, hindering our understanding of healthcare in such regions.

objectivesThis study investigates maternal knowledge, social support, and psychological stress among perinatal women in Macao.

designA cross-sectional study was conducted with perinatal women between 28 weeks of gestation and 6 weeks postpartum.

methodsMaternal knowledge was measured using the Maternal-Infant Health Literacy Scale, social support with the Maternal Social Support Scale, and psychological stress with the Edinburgh Postnatal Depression Scale.

resultsThe overall maternal knowledge score of the 263 participants was relatively modest at 35.5, particularly lower in practical skills. Education level, number of childbirths and monthly income were positively correlated with maternal knowledge. The social support score was 21, indicating moderate support, while the psychological score was 8.8, reflecting generally low stress levels. No significant correlations were found between maternal knowledge and social support or stress.

conclusionThis study highlights the importance of addressing knowledge disparities during the perinatal period in multicultural urban areas. Enhancing maternal knowledge can improve healthcare outcomes and inform culturally tailored educational programmes for diverse populations.

Indexed as

Health Knowledge, Attitudes, PracticeHealth LiteracyMothersSocial SupportStress, PsychologicalAdultChinaCross-Sectional StudiesFemaleHumansMacauPregnancyYoung Adulthealth inequitieshealth literacyperinatal carepsychological stresssocial support

Identifiers

PMID40528149
PMCPMC12174802

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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.