Multidimensional Profiles Associated with Gestational Anemia in Primary Healthcare Networks of Northern Peru

Background: Gestational anemia represents a major public health challenge in Peru, with a national prevalence ranging from 20% to 27.9%; however, the northern regions remain insufficiently studied. This study aimed to explore the multidimensional structure of clinical and sociodemographic characteristics among pregnant women with gestational anemia treated in northern Peru. Methods: A cross-sectional study was conducted among 70 pregnant women diagnosed with gestational anemia and treated at the Chicama micro-network in the La Libertad region during 2024. Sociodemographic, territorial, reproductive, and nutritional variables were obtained from medical records. Principal Component Analysis for Categorical Data (CATPCA) was applied to identify multidimensional patterns associated with anemia severity. Results: The CATPCA identified a two-dimensional structure explaining 38.47% of the total variance. Dimension 1 (sociodemographic–territorial profile; 22.55%) included health facility (−0.925), educational level (0.887), maternal age (0.878), and district of origin (−0.871). Dimension 2 (reproductive–biological profile; 15.91%) included number of previous pregnancies (0.909), interpregnancy interval (0.909), and body mass index classification (0.589). Multivariate profiles showed that mild anemia (n = 49) was predominantly associated with pregnant women younger than 20 years, lower educational attainment, and rural settings. In contrast, moderate/severe anemia (n = 21) was more frequently associated with women aged 20–35 years, secondary or higher educational attainment, and urban healthcare settings, contrary to the conventional expectation that higher educational attainment acts as a protective factor against anemia. Additionally, mild anemia was associated with multiparity and overweight/obesity, whereas moderate/severe anemia was linked to primiparity and normal BMI. Conclusions: Gestational anemia in northern Peru follows a two-dimensional pattern in which sociodemographic and territorial characteristics showed greater explanatory contribution than reproductive–biological factors. Distinct anemia severity profiles were identified, highlighting the need for context-specific prenatal care strategies and targeted public health interventions.

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Publication Details

Journal
Healthcare
Published
2026-07-16
DOI
https://doi.org/10.3390/healthcare14142135
Primary Topic
Iron Metabolism and Disorders
Type
article
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article

Multidimensional Profiles Associated with Gestational Anemia in Primary Healthcare Networks of Northern Peru

Maribel Zapata Masias, Magali Tantaleán Pérez, Carola Seijas Ruiz
Healthcare
Iron Metabolism and Disorders
article

Multidimensional Profiles Associated with Gestational Anemia in Primary Healthcare Networks of Northern Peru

Maribel Zapata Masias, Magali Tantaleán Pérez, Carola Seijas Ruiz
article en

Abstract

Background: Gestational anemia represents a major public health challenge in Peru, with a national prevalence ranging from 20% to 27.9%; however, the northern regions remain insufficiently studied. This study aimed to explore the multidimensional structure of clinical and sociodemographic characteristics among pregnant women with gestational anemia treated in northern Peru. Methods: A cross-sectional study was conducted among 70 pregnant women diagnosed with gestational anemia and treated at the Chicama micro-network in the La Libertad region during 2024. Sociodemographic, territorial, reproductive, and nutritional variables were obtained from medical records. Principal Component Analysis for Categorical Data (CATPCA) was applied to identify multidimensional patterns associated with anemia severity. Results: The CATPCA identified a two-dimensional structure explaining 38.47% of the total variance. Dimension 1 (sociodemographic–territorial profile; 22.55%) included health facility (−0.925), educational level (0.887), maternal age (0.878), and district of origin (−0.871). Dimension 2 (reproductive–biological profile; 15.91%) included number of previous pregnancies (0.909), interpregnancy interval (0.909), and body mass index classification (0.589). Multivariate profiles showed that mild anemia (n = 49) was predominantly associated with pregnant women younger than 20 years, lower educational attainment, and rural settings. In contrast, moderate/severe anemia (n = 21) was more frequently associated with women aged 20–35 years, secondary or higher educational attainment, and urban healthcare settings, contrary to the conventional expectation that higher educational attainment acts as a protective factor against anemia. Additionally, mild anemia was associated with multiparity and overweight/obesity, whereas moderate/severe anemia was linked to primiparity and normal BMI. Conclusions: Gestational anemia in northern Peru follows a two-dimensional pattern in which sociodemographic and territorial characteristics showed greater explanatory contribution than reproductive–biological factors. Distinct anemia severity profiles were identified, highlighting the need for context-specific prenatal care strategies and targeted public health interventions.

HealthcareVol. 14(14)
Universidad César Vallejo (PE)
Zero hunger
Openalex Percentile: Top 8%
Iron Metabolism and Disorders
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