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基于LASSO回归模型的中国母乳喂养社会支持现状及影响因素

The status quo and influencing factors of breastfeeding social support in China based on LASSO regression model.

作者信息

Sun Tian, Duan Chanzhi, Wang Yan, Li Qing

机构信息

School of Nursing, Chengde Medical University, Chengde, Hebei Province, China.

出版信息

PeerJ. 2025 Jan 3;13:e18779. doi: 10.7717/peerj.18779. eCollection 2025.

DOI:10.7717/peerj.18779
PMID:39763703
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11702354/
Abstract

BACKGROUND

In China, the rate of exclusive breastfeeding at 6 months is only 29.2%, well below the global breastfeeding collective target of at least 50% by 2025. This study explores the status quo of breastfeeding social support among and analyses its influencing factors, in order to provide a basis for improving breastfeeding rate in China.

METHODS

A total of 251 were selected to fill in the general information questionnaire and the Breastfeeding Social Support Scale from three community health service centers in the city of Chengde, Hebei province, China, from September to November 2023 by completed random cluster sampling method. And the LASSO regression was used to screen and order the influencing factors of breastfeeding social support.

RESULTS

The total score of the Breastfeeding Social Support Scale was (48.95 ± 7.93). The results of LASSO regression showed that when the lambda () value was 0.7428, the error was the smallest, and the corresponding number of influencing factors was four, and the top four independent variables in importance ranking were whether or not breastfeeding at night, employment status, the feeding mode of the youngest baby, partner attended school/lecture for pregnant women.

CONCLUSION

The level of breastfeeding social support remains to be improved; health care providers were suggested to develop targeted intervention according to the influencing factors.

摘要

背景

在中国,6个月纯母乳喂养率仅为29.2%,远低于到2025年至少50%的全球母乳喂养总体目标。本研究探讨母乳喂养社会支持现状并分析其影响因素,为提高中国母乳喂养率提供依据。

方法

2023年9月至11月,采用完全随机整群抽样方法,从中国河北省承德市3个社区卫生服务中心选取251名对象填写一般信息问卷和母乳喂养社会支持量表。采用LASSO回归筛选并排序母乳喂养社会支持的影响因素。

结果

母乳喂养社会支持量表总分为(48.95±7.93)。LASSO回归结果显示,当λ值为0.7428时误差最小,对应的影响因素数量为4个,重要性排名前四位的自变量分别是夜间是否母乳喂养、就业状况、最小婴儿的喂养方式、配偶是否参加孕妇学校/讲座。

结论

母乳喂养社会支持水平仍有待提高;建议医护人员根据影响因素开展针对性干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04bb/11702354/dcadda14fe59/peerj-13-18779-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04bb/11702354/177a120b0cc7/peerj-13-18779-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04bb/11702354/d8e56985c5fd/peerj-13-18779-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04bb/11702354/dcadda14fe59/peerj-13-18779-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04bb/11702354/177a120b0cc7/peerj-13-18779-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04bb/11702354/d8e56985c5fd/peerj-13-18779-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04bb/11702354/dcadda14fe59/peerj-13-18779-g003.jpg

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