SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSION

Hyperbilirubinemia is a problem that often occurs in newborns. The cause of hyperbilirubinemia is multifactorial including maternal, perinatal or environmental factors that can be risk factors in newborns. Hyperbilirubinemia that occurs in infants is usually due to high bilirubin levels. High biliru...

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Main Authors: Elsa Anna Pratiwi, Nunung Nurhayati, Idha Sihwaningrum
Format: Article
Language:English
Published: Universitas Pattimura 2024-03-01
Series:Barekeng
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Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9767
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author Elsa Anna Pratiwi
Nunung Nurhayati
Idha Sihwaningrum
author_facet Elsa Anna Pratiwi
Nunung Nurhayati
Idha Sihwaningrum
author_sort Elsa Anna Pratiwi
collection DOAJ
description Hyperbilirubinemia is a problem that often occurs in newborns. The cause of hyperbilirubinemia is multifactorial including maternal, perinatal or environmental factors that can be risk factors in newborns. Hyperbilirubinemia that occurs in infants is usually due to high bilirubin levels. High bilirubin can be a poison that causes brain damage so hyperbilirubinemia must be treated appropriately so as not to cause chronic complications. This study aims to identify significant factors affecting hyperbilirubinemia in infants at Santo Joseph Mother and Child Hospital, North Jakarta using binary logistic regression. This research was conducted at Santo Joseph Mother and Child Hospital for the first time. Factors that are thought to influence are gestational age, birth weight, childbirth, breastfeeding, and infection status. The results showed that the significant factors affecting hyperbilirubinemia in infants were the process of childbirth, milk feeding and infection status. Based on  the odds ratio  value for each variable, it can be concluded that babies with abnormal birth processes have a risk of hyperbilirubinemia of 2.9628 times greater than babies with normal births. Meanwhile, formula-fed infants have a risk  of hyperbilirubinemia of 4.2854 times less than breastfed babies. Furthermore, infants affected by infection have a risk  of developing hyperbilirubinemia of 5.5752 times greater than infants who do not get infection.
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spelling doaj-art-66f6aa873a0d409caf0eab4ee649f3152025-08-20T04:00:48ZengUniversitas PattimuraBarekeng1978-72272615-30172024-03-011810075008410.30598/barekengvol18iss1pp0075-00849767SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSIONElsa Anna Pratiwi0Nunung Nurhayati1Idha Sihwaningrum2Department of Mathematics, Faculty of Mathematics and Natural Sciences, Jenderal Soedirman University, IndonesiaDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Jenderal Soedirman University, IndonesiaDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Jenderal Soedirman University, IndonesiaHyperbilirubinemia is a problem that often occurs in newborns. The cause of hyperbilirubinemia is multifactorial including maternal, perinatal or environmental factors that can be risk factors in newborns. Hyperbilirubinemia that occurs in infants is usually due to high bilirubin levels. High bilirubin can be a poison that causes brain damage so hyperbilirubinemia must be treated appropriately so as not to cause chronic complications. This study aims to identify significant factors affecting hyperbilirubinemia in infants at Santo Joseph Mother and Child Hospital, North Jakarta using binary logistic regression. This research was conducted at Santo Joseph Mother and Child Hospital for the first time. Factors that are thought to influence are gestational age, birth weight, childbirth, breastfeeding, and infection status. The results showed that the significant factors affecting hyperbilirubinemia in infants were the process of childbirth, milk feeding and infection status. Based on  the odds ratio  value for each variable, it can be concluded that babies with abnormal birth processes have a risk of hyperbilirubinemia of 2.9628 times greater than babies with normal births. Meanwhile, formula-fed infants have a risk  of hyperbilirubinemia of 4.2854 times less than breastfed babies. Furthermore, infants affected by infection have a risk  of developing hyperbilirubinemia of 5.5752 times greater than infants who do not get infection.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9767hyperbilirubinemiarisk factorbinary logistic regression
spellingShingle Elsa Anna Pratiwi
Nunung Nurhayati
Idha Sihwaningrum
SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSION
Barekeng
hyperbilirubinemia
risk factor
binary logistic regression
title SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSION
title_full SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSION
title_fullStr SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSION
title_full_unstemmed SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSION
title_short SIGNIFICANT FACTORS INFLUENCING HYPERBILIRUBINEMIA AT SANTO YUSUF MOTHER AND CHILD HOSPITAL, NORTH JAKARTA USING BINARY LOGISTIC REGRESSION
title_sort significant factors influencing hyperbilirubinemia at santo yusuf mother and child hospital north jakarta using binary logistic regression
topic hyperbilirubinemia
risk factor
binary logistic regression
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/9767
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