Stigma and Stress Travel Together in Infertile Women, Major Chinese Study Finds

For millions of women undergoing fertility treatment, the medical burden of conception is only half the struggle. The other half is psychological: the quiet shame of failing to meet social expectations, the grinding anxiety of repeated treatment cycles, and the slow erosion of family harmony. A new study from Hainan Province, China, published in BMC Public Health, offers one of the most granular portraits yet of how these burdens coexist within individual women, and it arrives at a conclusion that challenges a common assumption in reproductive psychology. Infertility stigma and fertility-related stress, the researchers found, are not separate phenomena that combine in qualitatively different ways in different women. Instead, they rise and fall together along a single gradient of severity, sweeping depression symptoms and family dysfunction along with them.

The research team, led by Shiye Deng and corresponding author Lei Qiu of Hainan Medical University, recruited 1,294 women seeking treatment at two tertiary reproductive care centers in Hainan Province, a tropical island region where cultural expectations around childbearing remain strong. Every participant completed a battery of validated psychometric instruments: the Infertility Stigma Scale, which captures both externally imposed public stigma and internally directed self-devaluation; the Fertility Problem Inventory, which measures five distinct domains of fertility-related stress including social concern, sexual concern, relationship concern, the need for parenthood, and rejection of a childfree lifestyle; the Patient Health Questionnaire-9 for depressive symptoms; and the Family APGAR Questionnaire, a brief measure of perceived family function across adaptation, partnership, growth, affection, and resolve.

Methodologically, the study stands out for pairing two complementary analytical frameworks. The first, latent profile analysis, is a person-centered technique that searches for hidden subgroups of individuals who share similar patterns across multiple measured variables. Rather than asking which symptoms correlate with which, it asks whether distinct types of people exist. The researchers fed four stigma subscales and five stress subscales into the model and tested solutions with increasing numbers of profiles, using statistical fit indices including the Akaike and Bayesian information criteria, adjusted Bayesian information criterion, the Lo-Mendell-Rubin test, and a bootstrap likelihood ratio test. As a robustness check, they repeated the classification with k-means clustering, a fundamentally different algorithm.

The answer that emerged was strikingly orderly. Three profiles were retained, and they differed from one another in degree rather than in kind. The largest group, 563 women or 43.5 percent of the sample, showed low stigma paired with low stress. A nearly equal second group of 540 women, 41.7 percent, occupied the moderate range on both dimensions. The smallest and most concerning group comprised 191 women, 14.8 percent, who carried high levels of both stigma and stress simultaneously. Notably, the researchers found no evidence of profiles in which stigma was high but stress was low, or vice versa, which is precisely the pattern one would expect if the two constructs formed genuinely distinct psychosocial subtypes. Instead, the data describe a severity continuum.

Who ended up in the high-burden group was far from random. Using an automatic three-step multinomial logistic regression corrected for classification error, the team identified several sociodemographic and clinical correlates. Women living in rural areas, those with lower educational attainment, and those reporting greater perceived financial strain had significantly higher odds of belonging to the high stigma-high stress profile. The diagnostic picture also mattered: women whose infertility was attributed to male factors or remained of unknown origin had lower odds of high-burden membership than women diagnosed with female-factor infertility, a finding that likely reflects the differential blame and social judgment attached to female infertility in many communities. Meanwhile, a longer time since diagnosis was associated with membership in the moderate-burden profile rather than the low-burden one, suggesting that the psychological weight of infertility does not simply dissipate with time spent in the treatment system.

The second analytical framework, symptom-level network analysis, shifted the lens from whole persons to individual symptoms and their pairwise relationships. Network analysis treats psychological variables as nodes in a graph, with statistical associations drawn as edges connecting them. Using the EBICglasso estimator, which applies a least absolute shrinkage and selection operator penalty with an extended Bayesian information criterion to prune spurious connections, the researchers built a network spanning all stigma, stress, depressive symptom, and family function items. They then assessed the stability of the resulting structure through bootstrapping, verified that centrality rankings held across alternative estimation methods, estimated exploratory networks within each latent profile, and formally compared networks across profiles using statistical difference tests.

The full-sample network pinpointed the specific nodes that act as the psychological system’s most influential hubs. On the stigma and stress side, public stigma, the perception of devaluing attitudes from the wider community, and self-devaluation, the internalization of those attitudes, carried the highest expected influence, a centrality metric that captures a node’s total capacity to activate the rest of the network. Among depressive symptoms, sad mood, self-harm and suicidal ideation, and psychomotor symptoms ranked highest, alongside sexual concern from the stress inventory. When the researchers examined which nodes bridged distinct psychological communities, self-devaluation again led, followed by the need for parenthood and social withdrawal. These findings carry a practical implication: interventions that target self-devaluation, such as cognitive approaches that interrupt the internalization of stigmatizing messages, may propagate benefits across stigma, stress, and depressive symptom domains simultaneously.

Family function emerged as a protective counterweight within the network. Its nodes were negatively connected with distress-related symptoms, meaning that women who perceived their families as adaptable, communicative, and emotionally supportive reported fewer and less strongly interconnected psychological difficulties. The expected influence estimates showed good stability under bootstrapping, and centrality rankings were consistent across estimators, lending credibility to the hub identification. Perhaps the most sobering network result, however, was a null one: when the researchers compared networks across the three latent profiles, they found no statistically detectable differences in global network strength or overall structure after applying Benjamini-Hochberg correction for multiple comparisons. The psychological architecture of low-burden and high-burden women, in other words, appears fundamentally similar; what differs is how intensely the same machinery is running.

Taken together, the study’s two strands deliver a coherent message for clinicians and public health planners. Because stigma and stress co-occur along a severity gradient rather than forming discrete subtypes, screening in fertility clinics can reasonably use a single integrated assessment of psychosocial burden rather than separate pathways for stigma and stress. Because a substantial minority of roughly one in seven women occupies the high-burden tier, and because rural residence, lower education, and financial strain flag elevated risk, outreach resources can be targeted toward the women least likely to advocate for themselves. And because self-devaluation, public stigma, sad mood, and suicidal ideation sit at the network’s center, clinicians should treat self-blame not as a downstream byproduct of infertility but as a plausible intervention target with cascading effects. The authors caution that the cross-sectional design cannot establish causal direction, and the sample was limited to treatment-seeking women in a single Chinese province, so generalization requires care. Still, in a field where psychological screening is often an afterthought to hormonal protocols and embryo transfers, this analysis makes a data-driven case that the wound of infertility is as much social as it is medical, and that the two wounds share a single nervous system.

Subject of Research: Infertility stigma and fertility-related stress profiles and their symptom-level associations with depression and family function among infertile women in China

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

Article References: Deng, S., Wang, Y., Liu, J., Wang, M., Lin, C., Liu, M., Petersen, J. D., Yang, H., & Qiu, L. (2026). Infertility stigma-fertility stress profiles and symptom-level associations among infertile women in Hainan Province: a latent profile and network analysis. BMC Public Health. https://doi.org/10.1186/s12889-026-29453-z

Image Credits: AI Generated

DOI: 10.1186/s12889-026-29453-z

Keywords: infertility stigma, fertility-related stress, latent profile analysis, network analysis, depressive symptoms, family function, infertile women, BMC Public Health, Hainan Province, public stigma, self-devaluation, reproductive psychology