eprintid: 10378 rev_number: 9 eprint_status: archive userid: 2 dir: disk0/00/01/03/78 datestamp: 2024-01-09 23:30:26 lastmod: 2024-01-09 23:30:30 status_changed: 2024-01-09 23:30:26 type: article metadata_visibility: show creators_name: Talin, Iffat Ara creators_name: Abid, Mahmudul Hasan creators_name: Samad, Md Abdus creators_name: Dominguez Azpíroz, Irma creators_name: de la Torre Diez, Isabel creators_name: Ashraf, Imran creators_name: Nahid, Abdullah-Al creators_id: creators_id: creators_id: creators_id: irma.dominguez@unini.edu.mx creators_id: creators_id: creators_id: title: Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model ispublished: pub subjects: uneat_bm subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: unic_produccion_cientifica full_text_status: public keywords: Computational biology and bioinformatics; Health care abstract: Pregnancy-associated anemia is a significant health issue that poses negative consequences for both the mother and the developing fetus. This study explores the triggering factors of anemia among pregnant females in India, utilizing data from the Demographic and Health Survey 2019–21. Chi-squared and gamma tests were conducted to find out the relationship between anemia and various socioeconomic and sociodemographic elements. Furthermore, ordinal logistic regression and multinomial logistic regression were used to gain deeper insight into the factors that affect anemia among pregnant women in India. According to these findings, anemia affects about 50% of pregnant women in India. Anemia is significantly associated with various factors such as geographical location, level of education, and wealth index. The results of our study indicate that enhancing education and socioeconomic status may serve as viable approaches for mitigating the prevalence of anemia disease developed in pregnant females in India. Employing both Ordinal and Multinominal logistic regression provides a more comprehensive understanding of the risk factors associated with anemia, enabling the development of targeted interventions to prevent and manage this health condition. This paper aims to enhance the efficacy of anemia prevention and management strategies for pregnant women in India by offering an in-depth understanding of the causative factors of anemia. date: 2023-12 publication: Scientific Reports volume: 13 number: 1 id_number: doi:10.1038/s41598-023-49872-x refereed: TRUE issn: 2045-2322 official_url: http://doi.org/10.1038/s41598-023-49872-x access: open language: en citation: Artículo Materias > Biomedicina Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Producción Científica Abierto Inglés Pregnancy-associated anemia is a significant health issue that poses negative consequences for both the mother and the developing fetus. This study explores the triggering factors of anemia among pregnant females in India, utilizing data from the Demographic and Health Survey 2019–21. Chi-squared and gamma tests were conducted to find out the relationship between anemia and various socioeconomic and sociodemographic elements. Furthermore, ordinal logistic regression and multinomial logistic regression were used to gain deeper insight into the factors that affect anemia among pregnant women in India. According to these findings, anemia affects about 50% of pregnant women in India. Anemia is significantly associated with various factors such as geographical location, level of education, and wealth index. The results of our study indicate that enhancing education and socioeconomic status may serve as viable approaches for mitigating the prevalence of anemia disease developed in pregnant females in India. Employing both Ordinal and Multinominal logistic regression provides a more comprehensive understanding of the risk factors associated with anemia, enabling the development of targeted interventions to prevent and manage this health condition. This paper aims to enhance the efficacy of anemia prevention and management strategies for pregnant women in India by offering an in-depth understanding of the causative factors of anemia. metadata Talin, Iffat Ara; Abid, Mahmudul Hasan; Samad, Md Abdus; Dominguez Azpíroz, Irma; de la Torre Diez, Isabel; Ashraf, Imran y Nahid, Abdullah-Al mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, irma.dominguez@unini.edu.mx, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR (2023) Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model. Scientific Reports, 13 (1). ISSN 2045-2322 document_url: http://repositorio.unini.edu.mx/id/eprint/10378/1/s41598-023-49872-x.pdf