Determinants of neonatal deaths in Indonesia: A national survey data analysis of 10,838 newborns

Sampurna, Mahendra Tri Arif; Handayani, Kartika Dharma; Utomo, Martono Tri; Angelika, Dina; Etika, Risa; Harianto, Agus; Mapindra, Muhammad Pradhika; Mahindra, Muhammad Pradhiki; Efendi, Ferry; Kaban, Risma Kerina; Rohsiswatmo, Rinawati; Visuddho, Visuddho; Permana, Putu Bagus Dharma

doi:10.1016/j.heliyon.2023.e12980

Cited by 6 publications

(4 citation statements)

References 31 publications

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“…Such vulnerabilities include increased poverty, maternal depression, malnutrition exacerbated by competition for scarce nutrients between the mother and the fetus, and biological vulnerability as a result of physical immaturity (Alam, 2000). A recent study in Indonesia found lack of active participation in antenatal care visits (OR = 2.276; 95% CI = 1.168 -4.435) and delivery complications (OR = 2.103; 95% CI = 1.082 -3.970) to be significantly associated with neonatal deaths (Sampurna et al, 2023). Young mothers are more prone to inactive participation in antenatal care visits and birth complications associated with physical immaturity and cephalo-pelvic disproportionality.…”

Section: Discussionmentioning

confidence: 99%

The influence of socioeconomic and demographic factors on rural-urban disparities in infant mortality in Kakamega Central Sub-County, Kakamega County, Kenya

Gilbert Omedi,

Irene Mutavi,

Joyce Obuoyo

2024

GSC Adv. Res. Rev.

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Background: Infant mortality, measured as the summation of neonatal and post-neonatal mortalities, remain unacceptably high in Kakamega Central Sub-County, Kakamega County, Kenya. Reducing infant mortality is paramount not only in assessing the progress made towards the third sustainable development goal but also in creating a conducive environment for fertility reduction and in giving a chance to new-born babies to live out their social and economic potential in their families and societies at large. Objective: This study sought to establish the influence of socioeconomic and demographic factors on rural – urban disparities in infant mortality in Kakamega Central Sub - County, Kakamega County, Kenya. Methods: A cross-sectional research design was used. Systematic random sampling was employed to obtain a sample of 422 mothers within the reproductive age range of 15 to 49 years. Purposive sampling was used to arrive at key informants that were engaged in the study. Primary data were collected from December 2022 to January 2023 by administering pretested and validated questionnaires and interviewing key informants. Descriptive statistics and multinomial logistic regression analyses were conducted on the Statistical Package for Social Sciences computer software to estimate the prevalence of infant mortality and the odds ratio used as a measure of association at ρ<0.05. Results: Results of multivariate analysis indicated that there were higher likelihoods of rural neonatal (aOR = 1.913) and urban post-neonatal (aOR = 3.823) mortalities amongst mothers with no education qualifications. There were reduced likelihoods of rural post-neonatal (aOR = 0.105) and urban neonatal (aOR = 0.108) mortalities amongst mothers working in the professional, technical, managerial and clerical sectors. Both young (aOR = 1.579 for neonatal mortality) and old (aOR = 2.742 for infant mortality) ages at motherhood, and first births (aOR = 3.492 for infant mortality) and births of high orders (1.881 for neonatal mortality) were associated with increased likelihoods of mortalities in urban and rural areas, respectively. Urban mothers who observed a ≤ 24 months wait period prior to an index birth were more likely to report both post-neonatal (aOR = 3.294) and infant (aOR = 3.616) mortalities. Conclusions: The major contributors to the rural - urban disparities in infant mortality in Kakamega Central Sub-County were order of the index birth, which was significant only in rural areas, and wait period prior to the index birth, which was significant only in urban areas, after controlling for the confounding variables. It is important to advocate for childbearing during the middle reproductive ages and widen the wait period between successive births so as to improve the maturity of the mother and reduce parity, both of which correlate with low infant mortality. Future studies should be done on the relationship between marital status of the mother and infant mortality.

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Section: Discussionmentioning

confidence: 99%

The influence of socioeconomic and demographic factors on rural-urban disparities in infant mortality in Kakamega Central Sub-County, Kakamega County, Kenya

Gilbert Omedi,

Irene Mutavi,

Joyce Obuoyo

2024

GSC Adv. Res. Rev.

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“…Penyebab kematian Neonatal terbanyak berdasarkan factor dari bayi adalah BBLR (Berat Badan Lahir Rendah) dan berjenis kelamin laki-laki, dan dari faktor ibu adalah kurangnya aktifnya ibu dalam kunjungan perawatan selama kehamilan dan pascamelahirkan (Sampurna et al, 2023).…”

Section: Pendahuluanunclassified

Faktor-faktor yang mempengaruhi berat badan lahir bayi normal di BPM Aulia Insani Marabah

Rahmi,

Sa’diah

2023

J. Nurs. Pract. Educ.

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Latar Belakang : Masih banyaknya Angka Kematian Bayi, Barito Kuala merupakan kabupaten ke 4 (Empat) terbanyak menyumbang angka kematian bayi. Penelitian ini mempertegas tugas seorang bidan adalah memberikan pelayanan untuk mencegah terjadinya kesakitan, gawat darurat, serta kematian bayi, bidan harus bisa mengetahui faktor yang memicu dan dapat meminimalisir terjadinya faktor pemicu tersebut terlebih dahulu. Metode : Penelitian ini merupakan penelitian deskriptif, menggunakan data sekunder, Populasinya adalah ibu yang bersalin pada Bulan Januari - Bulan Desember 2022 di Bidan Praktik Mandiri (BPM) Aulia Insani dengan Berat Badan Lahir Normal sebanyak 52 orang. Tekhnik Sampling yang digunakan adalah Total Sampling, seluruh polupasi dijadikan sampel. Hasil : ibu yang melahirkan bayi yang sehat di PMB Aulia Insani mayoritas tidak berusia resiko tinggi (80,77%), mayoritas mempunyai anak lebih dari 2 sebanyak (71,15%), mayoritas TFU 27-30 cm (84,61%), mayoritas usia kehamilan ketika lahir adalah 36-42 Minggu (94,23%), dan mayoritas berat badan ibu ketika melahirkan adalah 50-80 Kg (57,7%). Kesimpulan : Untuk dapat melahirkan Bayi Baru Lahir dengan berat badan Normal (2.500-4.000 gram), penting untuk memperhatikan ibu hamil harus berumur tidak memiliki resiko tinggi (usia 20-35 Tahun), grivida >2 (lebih berpengalaman), Tinggi Fundus Uteri aterm 27-30 cm, usia kehamilan 36-42 Minggu, dan Berat badan ibu 50-80 Kg.

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“…LBW is identified as a significant risk factor for mortality, particularly neonatal mortality, and contributes to higher morbidity and malnourishment in children. Infant mortality rates are six times higher among babies with LBW compared to those with normal birth weight [5] , [6] . Furthermore, LBW exposes newborns to an elevated risk of mortality within the initial 28 days of life and increases the likelihood of long-term complications, including challenges in physical development, cerebral palsy, blindness, deafness, developmental delay, and a heightened susceptibility to noncommunicable diseases such as diabetes and cardiovascular conditions [7] .…”

Section: Introductionmentioning

confidence: 99%

Unraveling birth weight determinants: Integrating machine learning, spatial analysis, and district-level mapping

Rubaiya,

Mansur,

Alam

et al. 2024

Heliyon

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Determinants of neonatal deaths in Indonesia: A national survey data analysis of 10,838 newborns

Cited by 6 publications

References 31 publications

The influence of socioeconomic and demographic factors on rural-urban disparities in infant mortality in Kakamega Central Sub-County, Kakamega County, Kenya

The influence of socioeconomic and demographic factors on rural-urban disparities in infant mortality in Kakamega Central Sub-County, Kakamega County, Kenya

Faktor-faktor yang mempengaruhi berat badan lahir bayi normal di BPM Aulia Insani Marabah

Unraveling birth weight determinants: Integrating machine learning, spatial analysis, and district-level mapping

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