Infertility stigma-fertility stress profiles and symptom-level associations among infertile women in Hainan Province: a latent profile and network analysis

Infertility stigma and fertility-related stress are common psychosocial burdens among women seeking fertility care. However, their co-occurrence within individuals and conditional associations with depressive symptoms and family function remain insufficiently understood. This study aimed to identify combined stigma-stress profiles and examine node-level associations among women with infertility in Hainan Province, China. A cross-sectional study was conducted among 1,294 treatment-seeking infertile women recruited from two tertiary reproductive care settings in Hainan Province. Infertility stigma, fertility-related stress, depressive symptoms, and family function were assessed using the Infertility Stigma Scale, Fertility Problem Inventory, Patient Health Questionnaire-9, and Family APGAR Questionnaire. Latent profile analysis used four stigma and five stress subscales, with k-means clustering as a sensitivity analysis. A classification-error-adjusted automatic three-step (R3STEP) multinomial logistic regression examined profile correlates. An EBICglasso network was estimated, followed by bootstrap stability assessment, estimator sensitivity analyses, exploratory profile-specific networks, and network comparison tests. Three severity-ordered profiles were retained: low stigma-low stress ( n = 563, 43.5%), moderate stigma-moderate stress ( n = 540, 41.7%), and high stigma-high stress ( n = 191, 14.8%). Rural residence, lower educational attainment, and greater perceived financial stress were associated with higher odds of high-burden profile membership. Male-factor and unknown infertility were associated with lower odds than female-factor infertility, while a longer time since diagnosis was associated with moderate-burden membership. In the full-sample network, public stigma and self-devaluation had the highest expected influence, followed by sad mood, self-harm/suicidal ideation, sexual concern, and psychomotor symptoms. Self-devaluation had the highest bridge expected influence, followed by need for parenthood and social withdrawal. Family function was negatively connected with distress-related nodes. Expected influence showed good stability, and centrality rankings were consistent across estimators. No statistically detectable profile differences in global strength or overall network structure were found after Benjamini-Hochberg correction. Infertility stigma and fertility-related stress were organized primarily along a severity gradient rather than into qualitatively distinct psychosocial subtypes. The full-sample network identified several highly connected stigma, stress, and depressive symptom nodes, whereas profile-specific network differences were not statistically detectable.

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Journal
BMC Public Health
Published
2026-09-12
DOI
https://doi.org/10.1186/s12889-026-29453-z
Primary Topic
Reproductive Health and Technologies
Type
article
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article

Infertility stigma-fertility stress profiles and symptom-level associations among infertile women in Hainan Province: a latent profile and network analysis

Caiyun Lin, Jindong Ding Petersen, Hua Yang, Lei Qiu et al.
BMC Public Health
Reproductive Health and Technologies
article

Infertility stigma-fertility stress profiles and symptom-level associations among infertile women in Hainan Province: a latent profile and network analysis

Caiyun Lin, Jindong Ding Petersen, Hua Yang, Lei Qiu, Jie Liu, Shiye Deng, Meihong Wang, Muyu Liu, Ying Wang
article en

Abstract

Infertility stigma and fertility-related stress are common psychosocial burdens among women seeking fertility care. However, their co-occurrence within individuals and conditional associations with depressive symptoms and family function remain insufficiently understood. This study aimed to identify combined stigma-stress profiles and examine node-level associations among women with infertility in Hainan Province, China. A cross-sectional study was conducted among 1,294 treatment-seeking infertile women recruited from two tertiary reproductive care settings in Hainan Province. Infertility stigma, fertility-related stress, depressive symptoms, and family function were assessed using the Infertility Stigma Scale, Fertility Problem Inventory, Patient Health Questionnaire-9, and Family APGAR Questionnaire. Latent profile analysis used four stigma and five stress subscales, with k-means clustering as a sensitivity analysis. A classification-error-adjusted automatic three-step (R3STEP) multinomial logistic regression examined profile correlates. An EBICglasso network was estimated, followed by bootstrap stability assessment, estimator sensitivity analyses, exploratory profile-specific networks, and network comparison tests. Three severity-ordered profiles were retained: low stigma-low stress ( n = 563, 43.5%), moderate stigma-moderate stress ( n = 540, 41.7%), and high stigma-high stress ( n = 191, 14.8%). Rural residence, lower educational attainment, and greater perceived financial stress were associated with higher odds of high-burden profile membership. Male-factor and unknown infertility were associated with lower odds than female-factor infertility, while a longer time since diagnosis was associated with moderate-burden membership. In the full-sample network, public stigma and self-devaluation had the highest expected influence, followed by sad mood, self-harm/suicidal ideation, sexual concern, and psychomotor symptoms. Self-devaluation had the highest bridge expected influence, followed by need for parenthood and social withdrawal. Family function was negatively connected with distress-related nodes. Expected influence showed good stability, and centrality rankings were consistent across estimators. No statistically detectable profile differences in global strength or overall network structure were found after Benjamini-Hochberg correction. Infertility stigma and fertility-related stress were organized primarily along a severity gradient rather than into qualitatively distinct psychosocial subtypes. The full-sample network identified several highly connected stigma, stress, and depressive symptom nodes, whereas profile-specific network differences were not statistically detectable.

BMC Public Health
University of Copenhagen (DK), University of Southern Denmark (DK), Beijing Shijingshan Hospital (CN), Hainan Modern Women and Children's Hospital (CN), Hainan Medical University (CN)
Gender equality
Openalex Percentile: Top 8%
Reproductive Health and Technologies
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