{"title":"不孕症妇女病耻感的潜在特征分析及其影响因素。","authors":"Hui Wang , Yanxia Chen , Congjing Song , Huan Jiang , Hongyan Chen , Lizhen Zhang , Xiaolu Xia , Shiyi Zhang , Fengxiang Wei , Weiqiang Chen","doi":"10.1016/j.anr.2025.01.010","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>Infertility, a global health challenge, often leads to stigma for affected women. This stigma brings negative impacts to infertile women, and is influenced by several factors. Research to date treats infertile women as a homogeneous group based on their stigma. We attempted to identify subgroups based on their stigma and explored variables associated with subgroups.</div></div><div><h3>Methods</h3><div>A cross-sectional study design was utilized, involving 439 infertile women. General information questionnaire, Infertility Stigma Scale, Perceived Social Support Scale, and the Chinese version of the Infertility Self-Efficacy Scale were used. Latent profile analysis was performed to categorize potential stigma profiles in infertile women. Multinomial logistic regression analysis was employed to explore the influencing factors of stigma among infertile women in different latent profiles.</div></div><div><h3>Results</h3><div>Four hundred thirty-nine infertile women were divided into three stigma profiles: low stigma level–light public stigma group (41.5%), medium stigma level–light public stigma group (48.0%), and high stigma level–deep public stigma group (10.5%). Multinomial logistic regression showed that education level, per capita family income status, duration of infertility, duration of infertility treatments, perceived social support, and self-efficacy were the influencing factors of stigma in three latent profiles.</div></div><div><h3>Conclusion</h3><div>Stigma in infertile women can be divided into three potential profiles, which had obvious classification characteristics. In these different latent profiles, there are differences in education level, per capita family income, duration of infertility, duration of infertility treatments, perceived social support, and self-efficacy. Social withdrawal is a common and severe issue faced by infertile women. Additionally, infertile women with high stigma levels often suffer from more severe public stigma.</div></div>","PeriodicalId":55450,"journal":{"name":"Asian Nursing Research","volume":"19 2","pages":"Pages 184-192"},"PeriodicalIF":2.1000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Latent Profile Analysis of Stigma in Infertile Women and its Influencing Factors\",\"authors\":\"Hui Wang , Yanxia Chen , Congjing Song , Huan Jiang , Hongyan Chen , Lizhen Zhang , Xiaolu Xia , Shiyi Zhang , Fengxiang Wei , Weiqiang Chen\",\"doi\":\"10.1016/j.anr.2025.01.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><div>Infertility, a global health challenge, often leads to stigma for affected women. This stigma brings negative impacts to infertile women, and is influenced by several factors. Research to date treats infertile women as a homogeneous group based on their stigma. We attempted to identify subgroups based on their stigma and explored variables associated with subgroups.</div></div><div><h3>Methods</h3><div>A cross-sectional study design was utilized, involving 439 infertile women. General information questionnaire, Infertility Stigma Scale, Perceived Social Support Scale, and the Chinese version of the Infertility Self-Efficacy Scale were used. Latent profile analysis was performed to categorize potential stigma profiles in infertile women. Multinomial logistic regression analysis was employed to explore the influencing factors of stigma among infertile women in different latent profiles.</div></div><div><h3>Results</h3><div>Four hundred thirty-nine infertile women were divided into three stigma profiles: low stigma level–light public stigma group (41.5%), medium stigma level–light public stigma group (48.0%), and high stigma level–deep public stigma group (10.5%). Multinomial logistic regression showed that education level, per capita family income status, duration of infertility, duration of infertility treatments, perceived social support, and self-efficacy were the influencing factors of stigma in three latent profiles.</div></div><div><h3>Conclusion</h3><div>Stigma in infertile women can be divided into three potential profiles, which had obvious classification characteristics. In these different latent profiles, there are differences in education level, per capita family income, duration of infertility, duration of infertility treatments, perceived social support, and self-efficacy. Social withdrawal is a common and severe issue faced by infertile women. Additionally, infertile women with high stigma levels often suffer from more severe public stigma.</div></div>\",\"PeriodicalId\":55450,\"journal\":{\"name\":\"Asian Nursing Research\",\"volume\":\"19 2\",\"pages\":\"Pages 184-192\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Nursing Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1976131725000118\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Nursing Research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1976131725000118","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
Latent Profile Analysis of Stigma in Infertile Women and its Influencing Factors
Purpose
Infertility, a global health challenge, often leads to stigma for affected women. This stigma brings negative impacts to infertile women, and is influenced by several factors. Research to date treats infertile women as a homogeneous group based on their stigma. We attempted to identify subgroups based on their stigma and explored variables associated with subgroups.
Methods
A cross-sectional study design was utilized, involving 439 infertile women. General information questionnaire, Infertility Stigma Scale, Perceived Social Support Scale, and the Chinese version of the Infertility Self-Efficacy Scale were used. Latent profile analysis was performed to categorize potential stigma profiles in infertile women. Multinomial logistic regression analysis was employed to explore the influencing factors of stigma among infertile women in different latent profiles.
Results
Four hundred thirty-nine infertile women were divided into three stigma profiles: low stigma level–light public stigma group (41.5%), medium stigma level–light public stigma group (48.0%), and high stigma level–deep public stigma group (10.5%). Multinomial logistic regression showed that education level, per capita family income status, duration of infertility, duration of infertility treatments, perceived social support, and self-efficacy were the influencing factors of stigma in three latent profiles.
Conclusion
Stigma in infertile women can be divided into three potential profiles, which had obvious classification characteristics. In these different latent profiles, there are differences in education level, per capita family income, duration of infertility, duration of infertility treatments, perceived social support, and self-efficacy. Social withdrawal is a common and severe issue faced by infertile women. Additionally, infertile women with high stigma levels often suffer from more severe public stigma.
期刊介绍:
Asian Nursing Research is the official peer-reviewed research journal of the Korean Society of Nursing Science, and is devoted to publication of a wide range of research that will contribute to the body of nursing science and inform the practice of nursing, nursing education, administration, and history, on health issues relevant to nursing, and on the testing of research findings in practice.