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Fırat Üniversitesi Sağlık Bilimleri Tıp Dergisi
2024, Cilt 38, Sayı 1, Sayfa(lar) 025-031
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Elazığ İlinde 2014-2017 Arasındaki Bebek Ölümlerinin İncelenmesi
Ferit KAYA1, Edibe PİRİNÇCİ2, Medine KAYA3, Engin Burak SELCUK4
1Adıyaman University, Faculty of Medicine, Department of Public Health, Adiyaman, TURKIYE
2Fırat University, Faculty of Medicine, Department of Family Medicine, Elazığ, TURKIYE
34 İnönü University, Faculty of Medicine, Department of Family Medicine, Malatya, TURKIYE
Anahtar Kelimeler: Infant mortality, maternal and child health, neonatal mortality
Özet
Amaç: Bu çalışmada Elazığ ilindeki “Bebek Ölümlerini İnceleme Kurulu” tarafından incelenen bebek ölüm nedenlerinin değerlendirilmesi amaçlanmıştır.

Gereç ve Yöntem: Çalışma kapsamına 2014-2017 yılları arasındaki dört yıllık süreçte gerçekleşen 359 vaka alınmıştır.

Bulgular: Vakalar ölüm zamanına göre değerlendirildiğinde %44.8 (161)’i erken neonatal ölüm, %24.0 (86)’ü geç neonatal ölüm olmak üzere %68.8 (247)’i neonatal ölüm, %31.2 (112)’si ise postneonatal bebek ölümü olarak belirlendi. İl kurulun vaka formlarına göre vakalardaki temel ölüm nedenleri incelendiğinde prematürite ve prematüriteye bağlı hastalıkların %45.2 ile ilk sırada, konjenital kalp hastalıklarının ise %11.5 ile ikinci, Konjenital anomalilerin ise %9.1 ile üçüncü sırada yer almıştır. Sonuç olarak; bebek ölüm hızının 2/3’ü neonatal dönemde gerçekleşmiştir. Birinci sırada bebek ölüm nedeni prematürite ve prematüriteye bağlı hastalıklar yer almaktadır. Bebek ölümleri arasında neonatal dönemde ki ölüm oranı; anne eğitim seviyesi düşük, anne sütü almayan, mekonyuma maruz kalan ve doğum ağırlığı düşük bebeklerde anlamlı olarak daha yüksektir. Ayrıca ileri yaş gebelik ve akraba evliliği oranı yüksektir.

Sonuç: Prematüriteye bağlı ölüm nedeninin azaltılması için doğum öncesi bakımın güçlendirilmesi, ileri yaş gebeliklerin ve akraba evliliklerinin önlemler alınmasına yönelik önlemler alınmalıdır.

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    Infant mortality rate (CMR) is a crucial health indicator that informs us about the health status of a region or a country. Newborns are dependent on many factors that can prevent their optimal growth and development and lead to vulnerability. This dependency starts before conception, continues on through the prenatal period in the mothers’ womb, and goes on until the end of their first year outside the uterus 1. Most deaths under the age of 5 are caused by a small number of diseases; a vast majority of the newborn deaths are due to preterm birth, asphyxia, and sepsis. The majority of infant mortality is no longer caused by acute infections, but by noncontagious reasons such as preterm birth. Even though environmental, biological, psychosocial, and behavioral mechanisms’ relationships with various health indicators such as standard mortality rates, yearly death rates, and infant mortality are not completely explained, these indicators are strongly related to the socioeconomic status. The most striking medical difference between developed and developing countries can be seen in perinatal infant mortality rates, which is in some impoverished countries over 100 per thousand, whereas in high-income countries such as Singapore and Japan, it is under 5 per thousand 2.

    According to the Turkish Statistical Institute’s (TUIK) report, the infant mortality rate across Turkiye was 9.3 per thousand in 2018. The infant mortality rate for 2018 in the city of Elazig was similar to the average rate in Turkiye 3. In 2017, 4.1 million babies across the world died within the first year after birth. These deaths made up 75% of all deaths under the age of five. The infant mortality rate in the WHO Europe region was 8 per thousand. On the other hand, the infant mortality rate of 8.8 million in 1990 has fallen to 4.1 million in the year 2017 4.

    According to the 2018 health statistics yearbook, 2017 data shows that infant mortality during the perinatal period (11.0 per thousand) was much higher than that of the neonatal (5.8 per thousand) and postneonatal period (3.3 per thousand) in Turkiye 5. In the study done by Korkmaz et al. on infant mortality across Turkiye, when the cases were evaluated based on the time of death, it was determined that 1556 (76.1%) were neonatal deaths, 1157 (56.5%) early neonatal, and 399 (19.5%) late neonatal deaths, respectively, and (23.9%) composed postneonatal infant mortality 6.

    Knowing about infant mortality and their causes is imperative for health service planning. This study aims to determine the infant mortality rate and the factors that affect it in an eastern Turkish city between 2014-2017.

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    Research and Publication Ethics: After obtaining the ethics committee approval dated 20.02.2020 Nr 2020/04-05 from the Fırat University Ethics Committee of Non-Invasive Studies and also obtaining permission dated 24.11.2017 Nr 44820559 from the Elazig City Health Administrative, we conducted the necessary analyses using the SPSS 22.0 packaged software.

    This is a retrospective and descriptive study. The population of the study is made up of babies that were born alive, had a birth weight of over 500 grams, who were born after the 22nd week of pregnancy, and died before the age of one in Elazig between 2014-2017. Abortions and curettages were excluded. The study data was acquired from the 640 forms obtained from the infant mortality review board reports of the city health administration between the years 2014-2017. Of those reports, 247 stillbirths, 2 miscarriages, and 12 pregnancy terminations were excluded. Besides, due to missing data, 20 forms of infant mortality were not used except for calculating the infant mortality rate. Data collection forms examined the sex of the baby, date of birth/death, information about the mother and the pregnancy, form of pregnancy, duration of pregnancy, number of fetuses for the given pregnancy, mother’s age at the time of birth, mother’s previous pregnancies, length of time between the mother’s last pregnancy and the baby’s birth, consanguinity and blood incompatibility between the mother and father, mother’s tetanus vaccinations, number of screenings done during the pregnancy, problems determined, mother’s substance addiction, baby’s mode of delivery, place of birth, information about the newborn baby, how the pregnancy ended, whether or not the baby required resuscitation or had hepatitis, the institution at which the follow-up was conducted, problems determined, place of death, and cause of death.

    Cases included in the study were separated into groups according to terms of pregnancy as borderline premature (between 34 weeks and 36 weeks and 6 days), moderate premature (between 32 weeks and 33 weeks and 6 days), highly premature (between 28 weeks and 31 weeks and 6 days), and immature (younger than 28 weeks). They were also categorized into groups according to birth weight as normal birth weight (≥2500 grams), low birth weight (<2500 grams), very low birth weight (<1500 grams ), and extremely low birth weight (<1000 grams ). Evaluation of the data acquired from the data collection form was done via the statistical package program. Descriptive statistics were presented as numbers and percentages. Relationships between the variables in the categorical structure were examined with the Chi-Square and Fischer’s exact tests. The results were evaluated with a 95% confidence interval, and p<0.05 was considered significant.

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    In our study, 78.8% (n=282) of the mothers were between 18-35 years old, and 37.6% (n=135) were primary school graduates. Of the families, 71.0% (n=255) lived in the city center and 29.0% (n=104) lived in towns. There was blood incompatibility between the mother and father in 11.7% (n=47) of the cases. Of the families, 29.2% were blood-related, and 68.5% of them were first-degree relatives; 2.7% of the families had a family member with a genetic abnormality (Table 1). The infant mortality rate in Elazig between 2014-2017 was 10.65 per thousand. While the infant mortality rate in Elazig was 10.0 per hundred thousand in 2013, it was 9.0 in 2017.


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    Table 1: Distribution of some family features

    The mean pregnancy week was 31.99±5.83 (min: 21, max: 42), and the mean baby weight was 1779.51±1038.13 g. The rate of babies weighing under 1500 g was 48.8%, and the rate of babies dying during the early neonatal period was 42.3%. Of the births, 31.1 (n=113) were via normal vaginal delivery, while 68.9% (n=68.9) were via cesarean section (Table 2).


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    Table 2: Distribution of some features of the babies

    The percentage of mothers whose interpregnancy period was 2 years or longer was 94.7%. Of the mothers, 16.7% had never been vaccinated for tetanus, and 10.3% had a history of chronic disease. It was determined that 36.2% of the pregnancies were shorter than 28 weeks and had highly premature babies (Table 3).


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    Table 3: Distribution of maternal properties

    Median volue of babies’ life span was 10 (min:0-max:350). The mean life span was 2.22±2.08 days for the neonatal period, 15.38±5.75 days for the late neonatal period, and 127.36±86.25 days for the postneonatal. Looking at the number of follow-ups of pregnant women during pregnancy, the ratio of those who had four or more follow-ups was 63.1%. Primary care units were the most preferred institution for pregnancy follow-ups. Family medicine units (68.5%) were the most common among the health institutions where pregnancies were monitored. The rate of having difficulty accessing health services was 1.2%.

    Of the infant mortalities, 45.4% were due to prematurity or prematurity-related diseases, 12.0% were due to congenital heart diseases, and 9.2% were due to inherent abnormality problems (Table 4).


    Büyütmek İçin Tıklayın
    Table 4: Examining the distribution of infant mortality causes

    Early neonatal mortality rate, where the mother was 35 years old or younger, was 42.5%, and where the mother was 35 years old or older, it was 40.8% (p>0.05) (Table 5). While the relative marriage rate of mothers with primary school or less education was 33.2%, this rate was 20.6% for those who graduated from high school or above (p<0.05).


    Büyütmek İçin Tıklayın
    Table 5: Examination of deaths according to the time of infant mortality

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    In our study, approximately 21.2% of mothers were outside the 18-35 age range. As it is known, pregnancies occurring in adolescence and older age are evaluated in the category of risky pregnancies. In the study conducted by Sevilay et al. among women delivered in the hospital, the rate of those giving birth under the age of 18 was 2.5%, while the percentage of those giving birth at an older age was 14.5% and the rate of cesarean delivery, blood transfusion, placenta previa, low birth weight, and the need for intensive care was increased for adolescent pregnancies. On the other hand, the risk of gestational diabetes and preeclampsia is high in older pregnancies 7. According to the 2018 TDHS data, the teenage fertility rate was 30 per thousand in Turkiye. Adolescent pregnancies contribute to the continuation of the poverty cycle and the condition of poor health among generations, as well as maternal and child deaths 8.

    In our study, while the infant mortality rate was 10.4 per thousand in 2014, this rate was 9.0 per thousand in 2017. After the Classification of Statistical Region Units 1, in which the province of Elazig is located, the infant mortality rate, which was 18.1 per thousand in the eastern Anatolia region, decreased to 9.7 per thousand in 2018. Turkiye has reduced the overall mortality from 9.3 to 13.9 per thousand in the same period 3. Although there is a downward trend worldwide, quite different rates are detected between regions. The infant mortality rate is an important indicator that negatively affects the life expectancy of a society 9. Infant mortality rates tend to decrease on a global and regional basis. This may be influenced by factors, such as increased resources devoted to health care and an increase in education levels.

    Of the cases, 48.8% were babies with very low birth weight, and 20.3% of them had low birth weight. Low birth weight is considered as a crucial risk factor that increases the rate of neonatal death 10.

    Of the infant mortality, 68.2% occurred in the neonatal period, 25.9% of which was observed in the late neonatal period and 42.2% in the early neonatal period, and the other 31.8% occurred in the postneonatal period. In the study done by Korkmaz et al. 6 on infant mortality across Turkiye, when the cases were evaluated based on the time of death, it was determined that 76.1% were neonatal deaths, 56.5% of which were early neonatal and 19.5% were late neonatal deaths, and 23.9% were postneonatal infant mortality. In the study conducted by Ma et al. 11, 38.5% of infant mortalities were in the early neonatal period, 18.1% in the late neonatal period, and 43.4% in the postneonatal period.

    In our study, 68.9% of the deliveries were cesarean sections. In the survey conducted by Taş et al. 2 in the city of Kahramanmaras, the cesarean rate was 39.2%. The caesarean section rate is increasing rapidly in most countries, including Turkey. 14. The cesarean rate is influenced by many factors, such as education, wealth, age, and regional factors 15. According to the study of Betran et al. 16, cesarean rates tend to increase worldwide. Cesarean delivery and low birth weight rates are high among dying babies.

    In 21.0% of births in our study, the time between two births is less than two years. In a similar study, the frequency of the time between two pregnancies being less than 24 months was 17.6% 12. The time between birth intervals is generally affected by the settlement, region, education, and welfare levels. In those who have less than two years between two births, the infant mortality rate is higher. Among women with high levels of welfare and education, the frequency of those with a shorter pregnancy duration of fewer than 24 months was lower 15. It can be a useful intervention to prevent mortality by training new couples about pregnancy planning.

    We observed that 63.1% of pregnant women had at least four follow-up visits, and 36.9% had 3 or fewer follow-ups. In a study carried out by pregnant women in the city of Elazig by Akkus et al. 17, it was found that all pregnant women went to pregnancy controls at least once, and 74.5% had four or more pregnancy follow-ups. It is known that prenatal care services starting late in the pregnancy cause an increase in the proportions of infant mortality 10. Lack of care in the prenatal period increases the infant mortality rate 15.

    In our study, prematurity, prematurity-related diseases, congenital heart diseases, and congenital anomalies were among the top causes of infant mortality. In the survey conducted by Tas et al. 12 in the city of Kahramanmaras, congenital anomaly, respiratory distress syndrome, and sepsis were in the first three ranks. In a study conducted by Kosan et al. 18, congenital defect and sepsis were the leading causes of infant mortality. To prevent infant mortality, it is imperative to provide full prenatal care services and detect anomalies early.

    It was observed that the early neonatal infant mortality rate decreased with the increase in the number of pregnancy follow-ups. In the study of Wolde et al. 19, being born from a mother with no ANC visit increased neonatal death odds compared to mothers with ≥4 ANC visits. According to the study by Atkinson 20, women who faced obstacles in accessing prenatal care have been shown to have higher infant mortality rates than women facing no barriers. In the study by Annan et al. 21, it was stated that taking high-quality antenatal care would prevent a significant number of neonatal deaths. It may be beneficial to intervene by targeting factors that reduce antenatal care 22. This finding is compatible with the literature 23,24. Due to insufficient lung development resulting in hypoxia, which can result in respiratory failure and death, preterm babies can’t adapt to extra-uterine life 25.

    The mortality rate of low birth weight babies in the neonatal period was significantly higher compared to normal birth weight babies (p<0.001). Also, infant deaths are higher in those with low birth weight or gestational intervals of less than two years. Studies are showing that low birth weight increases the mortality rate in the neonatal period26,12.

    The frequency of consanguineous marriage is significantly lower among mothers with high school or higher education levels. In a similar study conducted by Taş et al. in Kahramanmaras, the frequency of blood-related couples was 25.9% 12. It has been observed that those who have consanguineous marriages have lower education levels, lower socioeconomic statuses, earlier gestational ages, higher risk of delivering a baby with a congenital anomaly, and, although there was no significant difference, higher risk of stillbirths 27, As seen in the studies above, preventing consanguineous marriage will also prevent infant mortality and stillbirths. Thus, increasing the level of education with social supports and increasing the socioeconomic levels will benefit the creation of healthy new generations.

    As a result, two-thirds of infant mortality rates occurred during the neonatal period. Prematurity and related diseases are in the first place within the causes of infant mortality. The neonatal period’s mortality rate is significantly higher in babies with a low level of maternal education, breastfeeding, exposure to meconium, and low birth weight. Additionally, adolescent pregnancy and consanguineous marriage rates were high.

    It will be effective to strengthen prenatal care, increase the number and quality of newborn services, provide educated and sufficient personnel, and home follow-up and care services to reduce the causes of premature deaths. Furthermore, measures should be taken to prevent adolescent pregnancies and consanguineous marriages.

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    1) Yılmaz T. Aile sağlığı. In: Tulchnsky T, Varavikova E. (Editörler). Yeni Halk Sağlığı. 3rd Edition, Ankara: Palme Yayınevi; 2018: 311-354.

    2) Detels R, Gulliford M, Abdool KQ, Chuan TC. Oxford Textbook of Global Public Health. 6. Edition, Oxford: Oxford Universty Press, 2015.

    3) TÜİK. “Bebek ölümleri 2022”. https://biruni.tuik.gov.tr/ medas/?kn=114&locale=tr.%20(n.d.)/ 04.04.2022.

    4) WHO. “Infant mortality”. https://www.who.int/data/gho/data/ themes/topics/indicator-groups/indicator-group-details/ GHO/infant-mortality/ 04.04.2022.

    5) Bora Başara B, Soytutan Çağlar İ, Aygun A, Özdemir TA. “Sağlık İstatistikleri Yıllığı 2017”. https://sbsgm.saglik.gov. tr/TR,71766/saglik-istatistikleri-yilligi-2017-yayimlandi.html/ 08.04.2022.

    6) Korkmaz A, Şirin A, Çamurdan AD, ve ark. Türkiye’de bebek ölüm nedenlerinin ve ulusal kayıt sisteminin değerlendirilmesi. Cocuk Sagligi ve Hastaliklari Dergisi 2013; 56(3): 105-121.

    7) Topcuoğlu S, Erçin S, Arman D, ve ark. Adölesan veya ileri anne yaşı: Yenidoğan için risk midir? Tek bir merkezin retrospektif sonuçları. Zeynep Kamil Tıp Bülteni 2014; 45(3): 131-135.

    8) Hacettepe Üniversitesi Nüfus Etütleri Enstitüsü. “Türkiye Nüfus ve Sağlık Araştırması, 2018”. http://www.sck. gov.tr/ wp-content/uploads/2020/08/TNSA2018_ana_Rapor.pdf/ 02.03.2022.

    9) Bayın Donar G. Determination of factors affecting life expectancy at birth and at age 65. Türk Aile Hekimliği Dergisi 2016; 20(3): 93-03.

    10) Vilanova CS, Hirakata VN, de Souza Buriol VC, et al. The relationship between the different low birth weight strata of newborns with infant mortality and the influence of the main health determinants in the extreme south of brazil. Population Health Metrics 2019; 17(1): 1-12.

    11) Ma Y, Guo S, Wang H, et al. Cause of death among infants in rural western China: A community-based study using verbal autopsy. J Pediatr 2014; 165(3): 577-584.

    12) Taş F, Oktay AA, Gülpak M. Kahramanmaraş il merkezinde meydana gelen bebek ölümlerinin değerlendirilmesi. KSU Medical Journal 2018; 3(1): 7-2.

    13) Hacettepe Üniversitesi Nüfus Etütleri Enstitüsü. “TNSA 1998”. http://www.sck.gov.tr/wp-content/uploads/2020/02/ Turkiye-Nufus-ve-Sa%C4%9Flik-Arastirmasi-1998.pdf/ 04.04.2022.

    14) Karabel MP, Demirbaş M, İnci MB. Türkiye’de ve Dünya’da değişen sezaryen sıklığı ve olası nedenleri. Sakarya Tıp Dergisi 2017; 7(4): 158-163.

    15) Hacettepe Üniversitesi Nüfus Etütleri Enstitüsü “TNSA 2013”. http://www.sck.gov.tr/wp-content/uploads/2020/02/ Turkiye-Nufus-ve-Sa%C4%9Flik-Arastirmasi-2013.pdf/ 04.04.2022.

    16) Betrán AP, Ye J, Moller AB, et al. The Increasing trend in caesarean section rates: Global, regional and national estimates: 1990-2014. PLoS ONE 2016; 11(2): e0148343.

    17) Akkuş İH, Kaya F, Eren S, et al. Evaluation of effectiveness of educatıon given to pregnant women in elazig province. Van Med Jl 2018; 25(2): 100-107.

    18) Koşan Z, Bedir B, Yılmaz S, et al. An evaluation of the infant mortality rate in 2014 and 2015 in northeastern anatolia. Konuralp Tıp Dergisi 2019; 11(1): 76-81.

    19) Wolde HF, Gonete KA, Akalu TY, Baraki AG, Lakew AM. Factors affecting neonatal mortality in the general population: Evidence from the 2016 Ethiopian demographic and health survey-multilevel analysis. BMC Research Notes 2019; 12(1): 1-6.

    20) Atkinson TB. Infant mortality: Access and barriers to quality perinatal care in North Carolina. NC Med J 2020; 81(1): 28-31.

    21) Annan GN, Asiedu Y. Predictors of neonatal deaths in Ashanti Region of Ghana: A cross-sectional study. Advances in Public Healt 2018; 1-11.

    22) Mbuagbaw L, Medley N, Darzi AJ, et al. Health system and community level interventions for improving antenatal care coverage and health outcomes. Cochrane Database of Systematic Reviews 2015; 12(12): CD010994.

    23) Mengesha HG, Lerebo WT, Kidanemariam A, Gebrezgiabher G, Berhane Y. Pre-term and post-term births: Predictors and implications on neonatal mortality in Northern Ethiopia. BMC Nursing 2016; 15(1): 1-11.

    24) Gallacher DJ, Hart K, Kotecha S. Common respiratory conditions of the newborn. Breathe 2016;1 2(1): 30-42.

    25) Karatekin G, Kasapoğlu M, Özoğlu E, Avci S, Durukan K. Infant deaths and stillbirths in Samsun province in 2007. Perinatal Journal 2008; 16(2): 56-61.

    26) Martin JA, Kung HC, Mathews TJ, et al. Annual summary of vital statistics: 2006. Pediatrics 2008; 121(4): 788-801.

    27) İnandı T, Savaş N, Arslan E, et al. Hatay’da akraba evliliği sıklığı, nedenleri, çocuk sağlığı, ilişkilerde mutluluk ve yaşam doyumu. Turk J Public Health 2016; 14(1): 43-55.

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