Analysis of Factor Affecting Infant Mortality Rate (Imr) in East Java Using Multiple Linear Regression

Palupi, Weike Retno; Rizki, Lailatul Khusnul

doi:10.20473/jbk.v9i1.2020.69-76

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…If the young population goes to school, the age at first marriage will increase and reduce the risk of infant death due to a uterus that is not biologically ready to give birth. This is in line with the results of research from Palupi & Rizki (2020), which state that age at first marriage affects IMR.…”

Section: Not Examinedsupporting

confidence: 91%

Trends and Factors That Influenced the Infant Mortality Rate in Klaten District in 2009 – 2021

Ningsih,

Sulistyowati,

Magna

2022

ICSS

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This study aims to determine (1) the trend of infant mortality rate (IMR) in Klaten Regency and (2) determine the socioeconomic factors that influence the IMR. The method used in this research is the descriptive quantitative method. The independent variables in this study are the Depth of Poverty Index, the Human Development Index (IPM), and the Net Participation Rate. The dependent variable in this study was the Infant Mortality Rate (IMR) which was then tested by multiple linear regression analysis. The results showed that during 2009-2021, there was an increase in the IMR in Klaten Regency at a rate of 0.4% per year. The Depth of Poverty Index, the Human Development Index (IPM), and the Net Participation Rate have a significant effect of 96.9% on the IMR, and other factors outside the study influence the remaining 6.1%.

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Section: Not Examinedsupporting

confidence: 91%

Trends and Factors That Influenced the Infant Mortality Rate in Klaten District in 2009 – 2021

Ningsih,

Sulistyowati,

Magna

2022

ICSS

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“…Afghans are affected by undernourishment and poverty, causing a high death rate among them (Akseer et al, 2018 ). Marriage at a young age causes adverse effects such as pregnancy complications, anemia, preterm delivery, postpartum infections, low‐birth‐weight (LBW) infants, and children with congenital abnormalities (Palupi & Rizki, 2020 ). Both maternal height and early‐pregnancy body mass index (BMI) are considered main indicators in accessing birth weight of newborn babies (Spada et al, 2018 ), and LBW babies are born mostly in developing countries more than in developed countries due to poor maternal health and nutrition (Bansal et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Nutritional and health status of Afghan refugee women living in Punjab: A cross‐sectional study

Fatima

Nosheen

Afzaal

et al. 2023

Food Science & Nutrition

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Afghan refugees are the world's densely populated community, with 2.6 million registered Afghan refugees living globally, of whom about 2.2 million are in Iran and Pakistan. Pakistan is a densely populated country, and due to its low socioeconomic status, food insecurity, unhygienic conditions, and inadequate access to health care, the Afghan refugees have high chances of being malnourished; the chances of death for these Afghans are 25 times more every year from undernourishment and poverty than those from violence. This study aimed to assess anthropometric and biochemical analyses, their health complications, and the socioeconomic status of Afghan refugee women living in Islamabad Punjab as women are the most vulnerable and highly malnourished group in any community. This cross‐sectional study involved 150 Afghan women aged 15–30 years; they were assessed for their nutritional status using Anthropometric, Biochemical, Clinical and Diet (ABCD). The results indicate the prevalence of underweight, normal weight, and overweight at 74.7%, 16.7%, and 8.7%, respectively. Majority of the women have extremely low hemoglobin (Hb) level, which indicates iron deficiency as well as low body mass index for their age. As the results indicate that there are high chances of severe malnutrition among this most vulnerable segment of the population, this situation must be addressed immediately; the main aim of this study is to highlight the current situation of these Afghan refugees in Pakistan. More research is needed to determine how normal body weight women with low hemoglobin levels are compared to women with ideal body mass index ratios.

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“…The fertility rate and GDP per capita signi cantly impacted the infant mortality rate, respectively [6]. A study stated that factors such as the age of the mother at rst marriage and the helper delivery of non-medical personnel had a signi cant impact on infant mortality [7]. The infant mortality rate is reported to be high in Pakistan.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Factors Affecting Infants Mortality in Sudan: Application of Generalized Additive Model

Ayele,

Mohammed,

Abdallah

2024

Preprint

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Background The evaluation of the factors influencing infant mortality entails examining the various factors that contribute to the high rate of infant deaths in Susan. These factors encompass access to healthcare services, nutritional status, sanitation, maternal health, vaccination, and socio-economic circumstances. This study aims to assess the factors affecting infant mortality in the Gezira state in Sudan. Methods The study adopted the questionnaire as a tool for data collection. The sample size reached 322 participants from Sudan, mainly the localities in Gezira state. The study applied the Generalized Additive Model. Results The study results revealed that the effects of socio-economic, demographic, and health factors have been identified using the Generalized Additive Model with non-parametric age at first marriage, current age of the mother, and child age. In addition to these effects, other parametric effects included in the model were residence, nature of the child, sex of the child, mother follow-up, place of antenatal care, place of child delivery, breastfeeding from the breast only, child infected with malaria, child suffered from malnutrition, child suffered from septicemia, child suffered from cough and child suffered from pneumonia. In addition to the main effects, nine two-way interaction effects were included in the model. Also, infant mortality is high for poor economic backgrounds. Moreover, giving birth at an early age showed an increased risk of infant mortality. In addition, for older mothers, the chance of a child dying before reaching age one is lower.

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Analysis of Factor Affecting Infant Mortality Rate (Imr) in East Java Using Multiple Linear Regression

Cited by 4 publications

References 7 publications

Trends and Factors That Influenced the Infant Mortality Rate in Klaten District in 2009 – 2021

Trends and Factors That Influenced the Infant Mortality Rate in Klaten District in 2009 – 2021

Nutritional and health status of Afghan refugee women living in Punjab: A cross‐sectional study

Assessment of Factors Affecting Infants Mortality in Sudan: Application of Generalized Additive Model

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