Gender variations in neonatal and early infant mortality in India and Pakistan: a secondary analysis from the Global Network Maternal Newborn Health Registry.


Journal

Reproductive health
ISSN: 1742-4755
Titre abrégé: Reprod Health
Pays: England
ID NLM: 101224380

Informations de publication

Date de publication:
17 Dec 2020
Historique:
received: 23 10 2020
accepted: 29 10 2020
entrez: 18 12 2020
pubmed: 19 12 2020
medline: 16 6 2021
Statut: epublish

Résumé

To determine the gender differences in neonatal mortality, stillbirths, and perinatal mortality in south Asia using the Global Network data from the Maternal Newborn Health Registry. This study is a secondary analysis of prospectively collected data from the three south Asian sites of the Global Network. The maternal and neonatal demographic, clinical characteristics, rates of stillbirths, early neonatal mortality (1-7 days), late neonatal mortality (8-28 days), mortality between 29-42 days and the number of infants hospitalized after birth were compared between the male and female infants. Between 2010 and 2018, 297,509 births [154,790 males (52.03%) and 142,719 females (47.97%)] from two Indian sites and one Pakistani site were included in the analysis [288,859 live births (97.1%) and 8,648 stillbirths (2.9%)]. The neonatal mortality rate was significantly higher in male infants (33.2/1,000 live births) compared to their female counterparts (27.4/1,000, p < 0.001). The rates of stillbirths (31.0 vs. 26.9/1000 births) and early neonatal mortality (27.1 vs 21.6/1000 live births) were also higher in males. However, there were no significant differences in late neonatal mortality (6.3 vs. 5.9/1000 live births) and mortality between 29-42 days (2.1 vs. 1.9/1000 live births) between the two groups. More male infants were hospitalized within 42 days after birth (1.8/1000 vs. 1.3/1000 live births, p < 0.001) than females. The risks of stillbirths, and early neonatal mortality were higher among male infants than their female counterparts. However, there was no gender difference in mortality after 7 days of age. Our results highlight the importance of stratifying neonatal mortality into early and late neonatal period to better understand the impact of gender on neonatal mortality. The information from this study will help in developing strategies and identifying measures that can reduce differences in sex-specific mortality.

Sections du résumé

BACKGROUND BACKGROUND
To determine the gender differences in neonatal mortality, stillbirths, and perinatal mortality in south Asia using the Global Network data from the Maternal Newborn Health Registry.
METHODS METHODS
This study is a secondary analysis of prospectively collected data from the three south Asian sites of the Global Network. The maternal and neonatal demographic, clinical characteristics, rates of stillbirths, early neonatal mortality (1-7 days), late neonatal mortality (8-28 days), mortality between 29-42 days and the number of infants hospitalized after birth were compared between the male and female infants.
RESULTS RESULTS
Between 2010 and 2018, 297,509 births [154,790 males (52.03%) and 142,719 females (47.97%)] from two Indian sites and one Pakistani site were included in the analysis [288,859 live births (97.1%) and 8,648 stillbirths (2.9%)]. The neonatal mortality rate was significantly higher in male infants (33.2/1,000 live births) compared to their female counterparts (27.4/1,000, p < 0.001). The rates of stillbirths (31.0 vs. 26.9/1000 births) and early neonatal mortality (27.1 vs 21.6/1000 live births) were also higher in males. However, there were no significant differences in late neonatal mortality (6.3 vs. 5.9/1000 live births) and mortality between 29-42 days (2.1 vs. 1.9/1000 live births) between the two groups. More male infants were hospitalized within 42 days after birth (1.8/1000 vs. 1.3/1000 live births, p < 0.001) than females.
CONCLUSION CONCLUSIONS
The risks of stillbirths, and early neonatal mortality were higher among male infants than their female counterparts. However, there was no gender difference in mortality after 7 days of age. Our results highlight the importance of stratifying neonatal mortality into early and late neonatal period to better understand the impact of gender on neonatal mortality. The information from this study will help in developing strategies and identifying measures that can reduce differences in sex-specific mortality.

Identifiants

pubmed: 33334358
doi: 10.1186/s12978-020-01028-0
pii: 10.1186/s12978-020-01028-0
pmc: PMC7745348
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

178

Subventions

Organisme : NICHD NIH HHS
ID : UG1 HD076457
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD078438
Pays : United States
Organisme : NICHD NIH HHS
ID : UG1 HD078439
Pays : United States

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Auteurs

Zubair H Aghai (ZH)

Thomas Jefferson University, Philadelphia, PA, USA.

Shivaprasad S Goudar (SS)

Women's and Children's Health Research Unit, KLE Academy of Higher Education and Research's J N Medical College, Belagavi, Karnataka, 590010, India.

Archana Patel (A)

Lata Medical Research Foundation, Nagpur, India.

Sarah Saleem (S)

Aga Khan University, Karachi, Pakistan.

Sangappa M Dhaded (SM)

Women's and Children's Health Research Unit, KLE Academy of Higher Education and Research's J N Medical College, Belagavi, Karnataka, 590010, India.

Avinash Kavi (A)

Women's and Children's Health Research Unit, KLE Academy of Higher Education and Research's J N Medical College, Belagavi, Karnataka, 590010, India.

Parth Lalakia (P)

Thomas Jefferson University, Philadelphia, PA, USA.

Farnaz Naqvi (F)

Aga Khan University, Karachi, Pakistan.

Patricia L Hibberd (PL)

School of Public Health, Boston University, Boston, MA, USA.

Elizabeth M McClure (EM)

RTI International, Durham, NC, USA.

Tracy L Nolen (TL)

RTI International, Durham, NC, USA.

Pooja Iyer (P)

RTI International, Durham, NC, USA.

Robert L Goldenberg (RL)

Department of Obstetrics and Gynecology, Columbia University School of Medicine, New York, NY, USA.

Richard J Derman (RJ)

Thomas Jefferson University, Philadelphia, PA, USA. Richard.Derman@jefferson.edu.

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Classifications MeSH