Evidence map›Paper›PMID 35426048›Full record

ArticleInternational journal of behavioral medicine2023

A Network Analysis of Multiple Preconception Health Behaviors in Chinese Women.

Yafen Zhao, Weikang Yang, Danxia Xian, Jiasheng Huang

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Article in International journal of behavioral medicine, 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
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yafen ZhaoDepartment of Science and Education, Longhua Maternity and Child Healthcare Hospital, Shenzhen, China.
Weikang YangDepartment of Science and Education, Longhua Maternity and Child Healthcare Hospital, Shenzhen, China.
Danxia XianDepartment of Science and Education, Longhua Maternity and Child Healthcare Hospital, Shenzhen, China.
Jiasheng HuangDepartment of Psychology, Sun Yat-Sen University, Guangzhou, China. huangjsh39@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-4773-674X
Shenzhen Maternity and Child Healthcare Hospital · CNSun Yat-sen University · CN

Funding

China Postdoctoral Science Foundation 2020M683003National Natural Science Foundation of China 82103956Shenzhen Longhua District Medical and Health Institution District Scientific Research Project 2021011Shenzhen Science and Technology Innovation Committee JCYJ20210324122609025The MOE (Ministry of Education) Project of Humanities and Social Science of China 21YJCZH042
6 · The paper itself

Abstract

backgroundA healthy preconception lifestyle, consisting of multiple health behaviors, is crucial for preventing adverse health outcomes in mothers and offspring. Although knowledge about the pattern of inter-behavior relations may provide insights for nudging multiple health behavior changes, this has not been adequately explored in the existing literature. Adopting a network perspective, the present study conceptualized multiple health behaviors as a behavior network (i.e., behaviors as nodes, inter-behavior relations as edges) and utilized network analysis to investigate the pattern of interrelations of preconception health behaviors in a large sample of Chinese women.

methodWe used the data of a population-based cohort study in China to estimate the behavior network. An analytic sample included 41,127 Chinese women who were surveyed about their adoptions of multiple health behaviors during the preconception period.

resultsNetwork analysis revealed a relatively dense behavior network and visualized the network structure of multiple preconception health behaviors. Subsequent centrality analysis identified three central behaviors (i.e., avoiding second- or third-hand smoke, reducing psychosocial stress, and reducing alcohol) that had distinctively stronger connections to other behaviors.

conclusionsPreconception health behaviors were strongly interconnected, and certain behaviors had stronger influences than others within the behavior network. Our findings highlight the strong inter-relatedness of preconception health behaviors. This study also encourages targeting the three central behaviors in preconception lifestyle promotions because this may bring more secondary improvements on other non-targeted behaviors and thereby achieve comprehensive lifestyle change.

Indexed as

East Asian PeoplePreconception CareCohort StudiesFemaleHealth BehaviorHumansLife StylePregnancyHealthy lifestyleMultiple health behaviorsNetwork analysisPreconception

Identifiers

PMID35426048
OpenAlexW4226047927

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.