ArticleBMC women's health2024
Network analysis of stress and stigma symptoms and their associations with quality of life among Chinese female infertility patients.
Article in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Network structure of depression and anxiety symptoms with psychosocial factors among Chinese women with primary infertility: a multi-center cross-sectional study.BMC psychiatry · 2026Article
- Dyadic associations of physical activity intensity with fertility-related quality of life in infertile couples: an APIM analysis.Frontiers in public health · 2026Article
- Relationship Between Quality of Reproductive Life and Semen Quality: The Moderating Roles of Social Support and Fertility Stress.Archives of sexual behavior · 2025Article
- Using network analysis to identify central symptoms of depression and anxiety in different profiles of infertility patients.BMC psychiatry · 2025Article
- Do perceived social support mitigate the influence of infertility stigma on fertility quality of life?Frontiers in global women's health · 2025Article
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Abstract
backgroundThis study has employed network analysis while investigating the interrelationships among stress and stigma symptoms and their associations with quality of life among Chinese female infertility patients.
methodsIn this cross-sectional study, 428 female patients who visited the Department of Reproductive Center of Dalian Women and Children's Medical Group with chief complaints of infertility symptoms were recruited using convenience sampling from November 2022 to December 2023. Fertility-related stress and stigma status were examined by the Fertility Problem Inventory (FPI) and Infertility Stigma Scale (ISS), respectively. Quality of life was examined by the Fertility Quality of Life (FertiQoL). Network analysis was conducted to estimate the network of stress and stigma symptoms. The flow network approach was used to identify specific stigma and stress symptoms related to quality of life. Expected influence (EI) and bridge expected influence (bEI) were used to quantify central and bridge symptoms in the network, respectively. The bootstrapping method evaluated the accuracy and robustness of the network estimates.
resultsThe average predictability of FPI and ISS symptoms was 0.67. The "relationship concern" was the most central symptom across all centrality indices, followed by "public stigma" and "social concern". The main symptoms bridging the FPI and ISS clusters were "self-devaluation", "social concern", and "relationship concern". The network demonstrated robustness in stability and accuracy tests. In the flow network, "social withdrawal" and "self-devaluation" showed strong negative associations with FertiQoL.
conclusions"Relationship concern," "public stigma," "social concern," and "self-devaluation" have been identified as the main central and bridge symptoms in the stress and stigma network in this study. Notably, stigma symptoms, particularly "social withdrawal" and "self-devaluation", showed stronger associations with FertiQoL compared to stress symptoms, highlighting their importance in potential treatment strategies.
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