What question did this study set out to answer?

The study aims to explore clinical, social, and occupational factors that contribute to severe preeclampsia in Peru.

January 23, 2026Open Access

Clinical, social, and occupational determinants of severe preeclampsia: a multifactorial case–control study on maternal health inequities in Peru

Key Points

The study aims to explore clinical, social, and occupational factors that contribute to severe preeclampsia in Peru.
Unmatched case–control study conducted in Ica, Peru, from 2018 to 2023
Included 720 pregnant women: 237 cases with severe preeclampsia and 483 controls
Data collected from clinical records, focusing on various determinant domains
Used multivariable logistic regression to identify independent factors associated with severe preeclampsia
Severe preeclampsia linked to prior history of preeclampsia (adjusted OR = 5.40)
Associated with chronic hypertension (OR = 2.35) and obesity (OR = 2.05)
Nulliparity increased risk (OR = 1.78)
Fewer than four antenatal visits (OR = 1.69) and high physical workload (OR = 1.41) were significant factors
Psychosocial stress (OR = 1.83) and family history of hypertension (OR = 1.47) were also associated with severe preeclampsia

Abstract

Abstract Background Severe preeclampsia remains a leading cause of maternal and perinatal morbidity and mortality, particularly in settings with limited access to quality antenatal care. In Peru, structural inequalities, physically demanding informal labor, and psychosocial stressors may exacerbate the risk of severe preeclampsia; however, local evidence integrating clinical and social determinants is scarce. Methods An unmatched case–control study was conducted at a referral hospital in Ica, Peru, from 2018 to 2023. A total of 720 pregnant women were included: 237 cases with severe preeclampsia and 483 normotensive controls. Data were obtained exclusively from clinical records. Variables were grouped into six determinant domains (sociodemographic, occupational, antenatal access, obstetric history, nutritional status, and psychosocial factors), while perinatal outcomes were analyzed as secondary descriptive measures. Multivariable logistic regression was applied to identify independent factors associated with severe preeclampsia, focusing on etiological determinants rather than clinical prediction. Results Severe preeclampsia was independently associated with a prior history of preeclampsia (adjusted OR = 5.40; 95% CI: 2.70–10.80), chronic hypertension (OR = 2.35; 95% CI: 1.45–3.82), obesity (OR = 2.05; 95% CI: 1.43–2.95), nulliparity (OR = 1.78; 95% CI: 1.28–2.47), fewer than four antenatal visits (OR = 1.69; 95% CI: 1.23–2.33), high physical workload (OR = 1.41; 95% CI: 1.01–1.96), psychosocial stress (OR = 1.83; 95% CI: 1.32–2.54), and family history of hypertension (OR = 1.47; 95% CI: 1.01–2.14). The regression model showed acceptable overall fit (Hosmer–Lemeshow p = 0.42). Conclusions This study underscores the multifactorial nature of severe preeclampsia by integrating clinical, occupational, and psychosocial factors associated with the condition. The findings emphasize etiologically relevant associated factors rather than prediction, supporting their relevance for antenatal screening in contexts characterized by labor informality and limited obstetric coverage. These results support socially responsive preventive strategies emphasizing early and comprehensive prenatal care for vulnerable populations.

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