Neonatal mortality in infants with low birth weigh

Objective To evaluate the factors associated with neonatal mortality in infant born with low birth weight. Method Cross-sectional study that analyzed data from 771 live births with low birth weight (<2500 g) in the city of Cuiabá, MT, in 2010, of whom 54 died in the neonatal period. We obtained data from the Information System on Live Births and Mortality, by integrated linkage. Results In multiple logistic regression, neonatal mortality was associated with: number of prenatal visits less than 7 (OR=3.80;CI:1,66-8,70); gestational age less than 37 weeks (OR=4.77;CI:1.48-15.38), Apgar score less than 7 at the 1st minute (OR=4.25;CI:1.84-9.81) and the 5th minute (OR=5.72,CI:2.24-14.60) and presence of congenital anomaly (OR=14.39;IC:2.72-76.09). Conclusion Neonatal mortality in infants with low birth weight is associated with avoidable factors through adequate attention to prenatal care, childbirth and infants. 

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MATERNAL AND CHILD RISK FACTORS ASSOCIATED WITH NEONATAL MORTALITY

Texto & Contexto - Enfermagem ◽

10.1590/0104-07072016002290015 ◽

2016 ◽

Vol 25 (4) ◽

Cited By ~ 3

Author(s):

Maria Aparecida Munhoz Gaiva ◽

Elizabeth Fujimori ◽

Ana Paula Sayuri Sato

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Neonatal Mortality ◽

Apgar Score ◽

Cross Sectional Study ◽

Mortality Data ◽

Cross Sectional ◽

Live Births ◽

Factors Associated

ABSTRACT This was a cross-sectional study that investigated maternal and child factors associated with neonatal mortality. Data was obtained from the Live Births and Mortality Information Systems integrated by linkage. A total of 9,349 live births and 78 deaths in the neonatal period, which occurred in 2010 in Cuiabá-MT were analyzed. Univariate and multivariate analyzes were performed. In the multiple logistic regression, neonatal mortality was associated with: maternal age less than 20 years; prematurity; low birth weight; Apgar score less than seven at 1 and 5 minutes; and presence of congenital anomaly. The results highlight the need to improve the quality of prenatal care in order to prevent low birth weight and prematurity. The association between neonatal death and low Apgar score at 1 and 5 minutes indicates the importance of investments in delivery care.

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Comparing regional neonatal mortality rates: the influence of registration of births as live born for birth weight <500 g in Taiwan

BMJ Paediatrics Open ◽

10.1136/bmjpo-2019-000526 ◽

2019 ◽

Vol 3 (1) ◽

pp. e000526

Author(s):

Liang-Yi Wang ◽

Yu-Shan Chang ◽

Fu-Wen Liang ◽

Yung-Chieh Lin ◽

Yuh-Jyh Lin ◽

...

Keyword(s):

Birth Weight ◽

Neonatal Mortality ◽

Ecological Study ◽

Population Based ◽

Cross Sectional ◽

Neonatal Deaths ◽

Live Births ◽

Taipei City ◽

The Impact ◽

The City

ObjectiveTo investigate regional variation in the registration of births (still+live) as live born for birth weight <500 g and the impact on the city/county ranking of neonatal mortality rate (NMR) in Taiwan.DesignPopulation-based cross-sectional ecological study.Setting20 cities/counties in Taiwan.ParticipantsRegistered births for birth weight <500 g and neonatal deaths in 2015–2016.Main outcome measuresCity/county percentage of births <500 g registered as live born and ranking of city/county NMR (deaths per 1000 live births) including and excluding live births <500 g.ResultsThe percentage of births <500 g registered as live born ranged from 0% in Keelung City (0/26) and Penghu County (0/4) to 20% in Taipei City (112/558), 24% in Hsinchu County (5/21) and 28% in Hualien County (9/32). The change in city/county ranking of NMR from including to excluding live births <500 g was most prominent in Taipei City (from the 15th to the 1st) followed by Kaohsiung City (from the 18th to the 14th).ConclusionsThe city/county NMR in Taiwan is influenced by variation in the registration of live born for births with uncertain viability. We recommend presenting city/county NMR using both criteria (with or without minimum threshold of gestation period or birth weight) for better interpretation of the findings of comparisons of city/county NMR.

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Low Birth Weight and Neonatal Mortality: Meta Analysis

Childhood Stunting, Wasting, and Obesity, as the Critical Global Health Issues: Forging Cross-Sectoral Solutions ◽

10.26911/the7thicph.03.113 ◽

2020 ◽

Author(s):

Silvalia Rahma Pratiwi ◽

◽

Hanung Prasetya ◽

Bhisma Murti ◽

◽

...

Keyword(s):

Public Health ◽

Birth Weight ◽

Low Birth Weight ◽

Neonatal Mortality ◽

Neonatal Death ◽

Meta Analysis ◽

Cross Sectional Study ◽

Cross Sectional ◽

Neonatal Deaths ◽

Central Java

ABSTRACT Background: Low birth weight (LBW) has been used as an important public health indicator. LBW is one of the key drivers and indirect causes of neonatal death. It contributes to 60% to 80% of all neonatal deaths, annually. This study aimed to examine association between LBW and neonatal mortality using meta analysis. Subjects and Methods: This was meta-analysis and systematic review. Published articles in 2010-2020 were collected from Google Scholar, PubMed, Springer Link, Hindawi, Clinical Key, ProQuest databases. Keywords used “low birth weight” AND “mortality” OR “birth weight mortality” OR “neonatal death” AND “cross sectional” AND “adjusted odd ratio”. The inclusion criteria were full text, using cross-sectional study design, and reporting adjusted ratio. The data were analyzed by PRISMA flow chart and Revman 5.3. Results: 6 studies were met criteria. This study showed that low birth weight increased the risk of neonatal mortality (aOR= 2.23; 95% CI= 1.12 to 4.44; p= 0.02). Conclusion: Low birth weight increases the risk of neonatal mortality. Keywords: low birth weight, mortality, neonatal death Correspondence: Silvalia Rahma Pratiwi. Masters Program in Public Health. Universitas Sebelas Maret, Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: [email protected]. Mobile: 082324820288. DOI: https://doi.org/10.26911/the7thicph.03.113

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Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

10.21203/rs.3.rs-28869/v2 ◽

2020 ◽

Author(s):

Shanshan Wang ◽

Liren Yang ◽

Li Shang ◽

Wenfang Yang ◽

Cuifang Qi ◽

...

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Maternal Age ◽

Additive Model ◽

Cross Sectional Study ◽

Birth Date ◽

Childbearing Age ◽

Birth Registry ◽

Cross Sectional ◽

Live Births

Abstract Background: Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight. Methods: Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, birth date of the newborns, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia. Results: The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age is less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR= 0.917, 95%CI: 0.903, 0.932 when maternal age younger than 27 years old; OR= 0.965, 95%CI: 0.955, 0.976 when maternal age ranging from 27 to 36 years old), then increased when maternal age older than 36 years old (OR=1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR=1.102, 95%CI: 1.075, 1.129 when maternal age younger than 24 years old; OR=1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR=1.029, 95%CI: 1.012, 1.046 when maternal age older than 33 years old). Conclusions: For women of childbearing age (20-40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

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Changing trends of birth weight with maternal age: a cross-sectional study in Xi’an city of Northwestern China

BMC Pregnancy and Childbirth ◽

10.1186/s12884-020-03445-2 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Shanshan Wang ◽

Liren Yang ◽

Li Shang ◽

Wenfang Yang ◽

Cuifang Qi ◽

...

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Maternal Age ◽

Additive Model ◽

Cross Sectional Study ◽

Birth Date ◽

Childbearing Age ◽

Birth Registry ◽

Cross Sectional ◽

Live Births

Abstract Background Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight. Methods Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490,143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, neonatal birth date, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia. Results The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age was less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051 g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824 g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR = 0.917, 95%CI: 0.903, 0.932 when maternal age was younger than 27 years old; OR = 0.965, 95%CI: 0.955, 0.976 when maternal age ranged from 27 to 36 years old), then increased when maternal age was older than 36 years old (OR = 1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR = 1.102, 95%CI: 1.075, 1.129 when maternal age was younger than 24 years old; OR = 1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR = 1.029, 95%CI: 1.012, 1.046 when maternal age was older than 33 years old). Conclusions For women of childbearing age (20–40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

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Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

10.21203/rs.3.rs-28869/v3 ◽

2020 ◽

Author(s):

Shanshan Wang ◽

Liren Yang ◽

Li Shang ◽

Wenfang Yang ◽

Cuifang Qi ◽

...

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Maternal Age ◽

Additive Model ◽

Cross Sectional Study ◽

Birth Date ◽

Childbearing Age ◽

Birth Registry ◽

Cross Sectional ◽

Live Births

Abstract Background: Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight.Methods: Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, neonatal birth date, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia.Results: The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age was less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR= 0.917, 95%CI: 0.903, 0.932 when maternal age was younger than 27 years old; OR= 0.965, 95%CI: 0.955, 0.976 when maternal age ranged from 27 to 36 years old), then increased when maternal age was older than 36 years old (OR=1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR=1.102, 95%CI: 1.075, 1.129 when maternal age was younger than 24 years old; OR=1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR=1.029, 95%CI: 1.012, 1.046 when maternal age was older than 33 years old).Conclusions: For women of childbearing age (20-40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

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Changing trends of birth weight with maternal age: a cross-sectional study in Xi'an city of Northwestern China

10.21203/rs.3.rs-28869/v4 ◽

2020 ◽

Author(s):

Shanshan Wang ◽

Liren Yang ◽

Li Shang ◽

Wenfang Yang ◽

Cuifang Qi ◽

...

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Maternal Age ◽

Additive Model ◽

Cross Sectional Study ◽

Birth Date ◽

Childbearing Age ◽

Birth Registry ◽

Cross Sectional ◽

Live Births

Abstract Background: Most studies have shown that maternal age is associated with birth weight. However, the specific relationship between each additional year of maternal age and birth weight remains unclear. The study aimed to analyze the specific association between maternal age and birth weight. Methods: Raw data for all live births from 2015 to 2018 were obtained from the Medical Birth Registry of Xi’an, China. A total of 490143 mother-child pairs with full-term singleton live births and the maternal age ranging from 20 to 40 years old were included in our study. Birth weight, gestational age, neonatal birth date, maternal birth date, residence and ethnicity were collected. Generalized additive model and two-piece wise linear regression model were used to analyze the specific relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia. Results: The relationships between maternal age and birth weight, risk of low birth weight, and risk of macrosomia were nonlinear. Birth weight increased 16.204 g per year when maternal age was less than 24 years old (95%CI: 14.323, 18.086), and increased 12.051g per year when maternal age ranged from 24 to 34 years old (95%CI: 11.609, 12.493), then decreased 0.824g per year (95% CI: -3.112, 1.464). The risk of low birth weight decreased with the increase of maternal age until 36 years old (OR= 0.917, 95%CI: 0.903, 0.932 when maternal age was younger than 27 years old; OR= 0.965, 95%CI: 0.955, 0.976 when maternal age ranged from 27 to 36 years old), then increased when maternal age was older than 36 years old (OR=1.133, 95%CI: 1.026, 1.250). The risk of macrosomia increased with the increase of maternal age (OR=1.102, 95%CI: 1.075, 1.129 when maternal age was younger than 24 years old; OR=1.065, 95%CI: 1.060, 1.071 when maternal age ranged from 24 to 33 years old; OR=1.029, 95%CI: 1.012, 1.046 when maternal age was older than 33 years old). Conclusions: For women of childbearing age (20-40 years old), the threshold of maternal age on low birth weight was 36 years old, and the risk of macrosomia increased with the increase of maternal age.

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The Prevalence of Necrotizing Enterocolitis and Associated Factors Among Enteral Fed Preterm and Low Birth Weight Neonates Admitted in Selected Public Hospitals in Addis Ababa, Ethiopia: A Cross-sectional Study

Global Pediatric Health ◽

10.1177/2333794x211019695 ◽

2021 ◽

Vol 8 ◽

pp. 2333794X2110196

Author(s):

Sitotaw Molla Mekonnen ◽

Daniel Mengistu Bekele ◽

Fikrtemariam Abebe Fenta ◽

Addisu Dabi Wake

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Necrotizing Enterocolitis ◽

Gestational Age ◽

Associated Factors ◽

Addis Ababa ◽

Cross Sectional Study ◽

Public Hospitals ◽

Sectional Study ◽

Cross Sectional

Necrotizing enterocolitis (NEC) remains to be the most critical and frequent gastrointestinal disorder understood in neonatal intensive care units (NICU). The presented study was intended to assess the prevalence of NEC and associated factors among enteral Fed preterm and low birth weight neonates. Institution based retrospective cross-sectional study was conducted on 350 enteral Fed preterm and low birth weight neonates who were admitted at selected public hospitals of Addis Ababa from March 25/2020 to May 10/2020. The data were collected through neonates’ medical record chart review. A total of 350 participants were enrolled in to the study with the response rate of 99.43%. One hundred eighty-four (52.6%) of them were male. The majority 123 (35.1%) of them were (32 + 1 to 34) weeks gestational age. The prevalence of NEC was (25.4%) (n = 89, [95% CI; 21.1, 30.0]). Being ≤28 weeks gestational age (AOR = 3.94, 95% CI [2.67, 9.97]), being (28 + 1 to 32 weeks) gestational age (AOR = 3.65, 95% CI [2.21, 8.31]), birth weight of 1000 to 1499 g (AOR = 2.29, 95% CI [1.22, 4.33]), APGAR score ≤3 (AOR = 2.34, 95% CI [1.32, 4.16]), prolonged labor (AOR = 2.21, 95% CI [1.35, 6.38]), maternal chronic disease particularly hypertension (AOR = 3.2, 95% CI [1.70, 5.90]), chorioamnionitis (AOR = 4.8, 95% CI [3.9, 13]), failure to breath/resuscitated (AOR = 2.1, 95% CI [1.7, 4.4]), CPAP ventilation (AOR = 3.7, 95% CI [1.50, 12.70]), mixed milk (AOR = 3.58, 95% CI [2.16, 9.32]) were factors significantly associated with NEC. Finally, the prevalence of NEC in the study area was high. So that, initiating the programs that could minimize this problem is required to avoid the substantial morbidity and mortality associated with NEC.

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A cross-sectional study of glucose regulation in young adults with very low birth weight: impact of male gender on hyperglycaemia

BMJ Open ◽

10.1136/bmjopen-2011-000327 ◽

2012 ◽

Vol 2 (1) ◽

pp. e000327 ◽

Cited By ~ 9

Author(s):

Ryosuke Sato ◽

Hiroshi Watanabe ◽

Kenji Shirai ◽

Shigeru Ohki ◽

Rieko Genma ◽

...

Keyword(s):

Young Adults ◽

Birth Weight ◽

Low Birth Weight ◽

Very Low Birth Weight ◽

Cross Sectional Study ◽

Male Gender ◽

Glucose Regulation ◽

Sectional Study ◽

Cross Sectional ◽

Weight Impact

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Risk Factors Associated with Low Birth Weight among Deliveries at Bharatpur Hospital

Journal of Nepal Health Research Council ◽

10.3126/jnhrc.v15i2.18208 ◽

2017 ◽

Vol 15 (2) ◽

pp. 169-173 ◽

Cited By ~ 3

Author(s):

Kamal Prasad Kandel ◽

Sindhu Kafle

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Hyperemesis Gravidarum ◽

Cross Sectional Study ◽

Cross Sectional ◽

Normal Birth ◽

Born Infant ◽

Low Body Mass Index ◽

Health Situation

Background: Babies with a birth weight of less than 2500 grams, irrespective of the period of their gestation are termed as Low Birth Weight (LBW) babies. Despite consistent efforts to improve the quality of maternal and child health, more than twenty million low birth-weight (LBW) babies are born every year throughout the world. Though, the health situation of Nepal has improved substantially over the years, the low birth-weight (LBW) rate is still high. The objective of this study was to assess the proportion of low birth weight and identify the associated factors for low birth weight in a live born infant among the institutionally delivered newborns. Methods: A hospital based cross sectional study was conducted in Obstetrics and Gynaecology ward of Bharatpur hospital, Bharatpur, from 17th September to 4th October , 2012. Altogether 480 respondents were taken and respondents were mothers who had delivered newborns in Bharatpur hospital.Results: A total of 480 births occurred during the study period, of which 480 met the study criteria. Among which 9.4% were low birth weight and 90.6% were normal birth weight .Overall mean birth weight was found to be 2.96 kg. Out of total 9.4% newborns were weighing less than 2.50 kg and mean birth weight 2.96kg. Conclusions: This study suggests that there were several factors interplaying which lead to LBW babies; which are age of mother at delivery,weight gain by mother during pregnancy, short, low body mass index and hyperemesis gravidarum was the strongest predictor in this study.

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