Skip to main content
Reproductive Health logoLink to Reproductive Health
. 2020 Dec 17;17(Suppl 3):178. doi: 10.1186/s12978-020-01028-0

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

Zubair H Aghai 1, Shivaprasad S Goudar 2, Archana Patel 3, Sarah Saleem 4, Sangappa M Dhaded 2, Avinash Kavi 2, Parth Lalakia 1, Farnaz Naqvi 4, Patricia L Hibberd 5, Elizabeth M McClure 6, Tracy L Nolen 6, Pooja Iyer 6, Robert L Goldenberg 7, Richard J Derman 1,
PMCID: PMC7745348  PMID: 33334358

Abstract

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

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

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

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.

Keywords: Early neonatal mortality, Late neonatal mortality, Stillbirth, Low-middle income countries, Sex variation in mortality, Global network

Background

The risk of mortality and morbidity has been found to be higher in male subjects compared to females during the perinatal period, infancy and childhood [14]. The risk of prematurity, intrauterine growth restriction and respiratory morbidities are also higher in male infants [2, 47]. Male infants are also at an increased risk for respiratory and gastrointestinal infections likely due to high testosterone levels that suppress the immune system [8, 9]. In high-income nations, boys are at a greater risk of neonatal and infant mortality than girls [1, 35]. However, several recent studies have reported higher neonatal and infant mortality in females compared to males in south Asia [1012]. A few studies from south Asia also reported that girls experience a higher risk of late neonatal mortality (between 8 and 28 days) [6, 12, 13]. Gender preference and differential health care-seeking behavior can contribute to higher late neonatal and infant mortality in south Asian girls [1215]. The information on gender difference in stillbirths and mortality in different periods of infancy is important for developing strategies and identifying measures directed at reducing sex-specific mortality [12]. The objective of the current study was to determine the gender differences in stillbirths, early and late neonatal mortality, and 29–42 day mortality in south Asia using Global Network data from the Maternal Newborn Health Registry (MNHR). We hypothesize that gender differences exist in fetal and neonatal survival with sex-specific trends in stillbirths, early and late neonatal mortality, and 29–42 day mortality. Understanding the variation in sex-specific differences in stillbirth and neonatal mortality will help to develop strategies to address them.

Methods

Pregnant women included in this analysis were screened, consented and enrolled in the MNHR between January 2010 and December 2018. The Global Network’s MNHR is a prospective observational study that includes all pregnant women and delivered infants and their outcomes in defined geographic communities (clusters). The MNHR, supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development’s (NICHD’s) Global Network, is a multi-site research network representing partnerships between the US institutions and international investigators at study sites in India (2 sites: Nagpur and Belagavi), Pakistan, Bangladesh, Guatemala, Kenya, Democratic Republic of the Congo and Zambia. For this study, sites in India (Belagavi and Nagpur) and Pakistan (Thatta) were included. During the time of the study, the included sites had between 20 and 24 study clusters, which are defined geographic areas with approximately 300 – 500 annual births [16, 17].

The registry administrators (RAs) identify and screen all pregnant women in the study communities early in the pregnancy and prospectively follow them and their infants up to 42 days postpartum. At enrollment, basic demographic information was recorded, and follow-up visits were conducted, one within 48 h of the delivery to obtain birth outcomes and the other at 42 days postpartum to record the health status of mother and baby, as described in detail elsewhere [16, 17]. The study outcome data were based on medical record review, as well as interviews with birth attendants, the mother and the family. In addition to the prospective enrollment of pregnant women, several measures were taken to ensure accuracy of the stillbirth, maternal, and neonatal mortality data, including: supervisory oversight of the RAs’ data collection, review of the ratio of stillbirths to early neonatal deaths to identify any potential biases, and training and review of standardized definitions.

Study outcomes and definitions

The outcomes of interest were rates of stillbirths, early neonatal mortality, late neonatal mortality, mortality between 29 and 42 days, and the number of infants hospitalized after birth.

  • Stillbirth: Fetal deaths occurring at ≥ 20 weeks gestation (or for those without gestational age available ≥ 500 g).

  • Neonatal mortality rate: The number of deaths during the first 28 days of life (1–28 days) per 1000 live births.

  • Early neonatal mortality: The number of deaths during the first 7 days of life (1–7 days) per 1000 live births.

  • Late neonatal mortality: The number of deaths between days 8–28 of life per 1000 live births.

  • Post neonatal mortality: The number of deaths between days 29–42 days per 1000 live births.

  • Conditions requiring hospitalization in follow-up: The number of infants admitted to the hospital after delivery and by 42 days of life.

Data analyses

A team at each research site supervised local data collection and provided the initial review of the data. Next, the data were entered at each study site and transmitted through a secure process to the central data coordinating center, RTI International (Research Triangle Park, NC). Descriptive analyses were performed and demographic and clinical characteristics where compared for male and female genders using a Cochran–Mantel–Haenszel test stratified by cluster for categorical characteristics and a Wilcoxon rank sum test for continuous characteristics. Relative risks and 95% confidence intervals were obtained from log binomial models as a function of gender for each fetal/neonatal outcome using generalized estimating equations to account for the correlation of outcomes within cluster. All data analyses were done with SAS software v.9.4 (Cary, NC). A two-sided p-value < 0.05 was considered to be statistically significant.

Ethics approval

Each research site obtained approval by the local ethics review committees (Aga Khan University; KLE University’s Jawaharlal Nehru Medical College, Belagavi, India; Lata Medical Research Foundation, Nagpur, India), the institutional review boards of partner U.S. universities and the data coordinating center (RTI International). All pregnant women included in the MNHR provided informed consent for participation in the study.

Results

A total of 325,641 women were screened between January 2010 and December 2018 at two sites in India (Nagpur and Belagavi, India) and one site in Pakistan. Most of the screened women (n = 320,467, 98.4%) were eligible, consented and delivered (Fig. 1). After excluding women with miscarriages, medical terminations of pregnancy, maternal deaths prior to delivery, and infants with gender unknown (1345), 297,509 births were included in the analysis. This included 288,859 live births (97.1%) and 8,648 stillbirths (2.9%).

Fig. 1.

Fig. 1

Flow diagram

The baseline demographic and clinical characteristics by infant gender are depicted in Table 1. A total of 154,790 infants (52.03%) were male and 142,719 infants (47.97%) were female, with a male to female ratio of 1,085:1,000. The sex ratio for live birth was 1,080:1,000 (149,984 males, 138,875 females), while the sex ratio for stillbirth was higher at 1,251:1,000 (4806 males, 3842 females). The differences in demographic and clinical characteristics were either not significant (maternal age, maternal education, parity, and number of antenatal care visits, hypertensive disease/severe pre-eclampsia/eclampsia, body mass index (BMI) ≥ 25 kg/m2, hemoglobin (Hb) < 8 g/dl, multiple birth, preterm birth and term birth) or observed difference was very small and may not be clinically significant (antepartum hemorrhage; 1.5% vs. 1.4%) [18, 19]. The demographic and clinical characteristics between the two groups were also compared by the sites (Table 2). There was a small, clinically insignificant difference in the percent of women delivering male and female infants starting prenatal care in the first trimester (75.4% vs. 76.0%), and multiple births (1.5% vs. 1.6%) at the Indian sites and severe antepartum hemorrhage at the Pakistani site (3.7% vs. 3.3%).

Table 1.

Baseline demographic and clinical characteristics by infant gender

Characteristic Overall Infant Gender p-value
Male Female
Infants (%)1 297,509 154,790 (52.03) 142,719 (47.97)
Maternal age, N (%)2,3 297,229 154,622 142,607 0.1934
 < 20 18,151 (6.1) 9325 (6.0) 8,826 (6.2)
 20—35 273,435 (92.0) 142,340 (92.1) 131,095 (91.9)
 > 35 5643 (1.9) 2957 (1.9) 2686 (1.9)
Maternal education, N (%)2,3 296,599 154,306 142,293 0.2556
 No formal schooling 100,006 (33.7) 52,010 (33.7) 47,996 (33.7)
 Primary or Secondary 168,503 (56.8) 87,759 (56.9) 80,744 (56.7)
 University+ 28,090 (9.5) 14,537 (9.4) 13,553 (9.5)
Parity, N (%)2,3 294,655 153,310 141,345 0.6322
 0 107,334 (36.4) 55,783 (36.4) 51,551 (36.5)
 1–2 134,820 (45.8) 70,097 (45.7) 64,723 (45.8)
 3–4 29,601 (10.0) 15,511 (10.1) 14,090 (10.0)
 ≥ 5 22,900 (7.8) 11,919 (7.8) 10,981 (7.8)
Antenatal care, N (%)2,3 218,046 113,154 104,892 0.2955
 ≥ 4 ANC visits 134,446 (61.7) 69,784 (61.7) 64,662 (61.6)
 < 4 ANC visits 83,600 (38.3) 43,370 (38.3) 40,230 (38.4)
Trimester of first ANC visit, N (%)2,3 259,453 135,254 124,199 0.0050
 First (0–14 weeks) 170,639 (65.8) 88,475 (65.4) 82,164 (66.2)
 Second (15–28 weeks) 65,488 (25.2) 34,465 (25.5) 31,023 (25.0)
 Third (29–42 weeks) 23,326 (9.0) 12,314 (9.1) 11,012 (8.9)
Complications of pregnancy, N (%)2,3
 Evidence of hypertensive disease/severe pre-eclampsia/eclampsia 10,072/297,108 (3.4) 5260/154,604 (3.4) 4812/142,504 (3.4) 0.4986
 Severe antepartum hemorrhage 4341/297,198 (1.5) 2361/154,652 (1.5) 980/142,546 (1.4) 0.0022
 BMI ≥ 25 21,660/291,335 (7.4) 11,313/151,628 (7.5) 10,347/139,707 (7.4) 0.5177
 Hemoglobin measured at/before enrollment < 8 mg/dl 5762/212,960 (2.7) 2930/110,629 (2.6) 2832/102,331 (2.8) 0.1905
 Hemoglobin measured after enrollment and before delivery < 8 mg/dl 2794/79,063 (3.5) 1424/40,865 (3.5) 1370/38,198 (3.6) 0.4455
 Multiple birth 5297/297,444 (1.8) 2,704/154,748 (1.7) 2593/142,696 (1.8) 0.1330

1All MNH Registry 2010–2018 infants born in 08 Belagavi, 11 Nagpur, and 09 Pakistan with exclusions miscarriage, MTP, and maternal deaths prior to delivery

2In cases of multiple births, maternal demographic variables are counted more than once

3Categorical variable p-values are computed with a cluster-stratified CMH test

Table 2.

Baseline demographic and clinical characteristics by site and infant gender

Characteristic India Pakistan India p-value Pakistan p-value
Male Female Male Female
Infants1 107,148 99,006 47,642 43,713
Maternal age, N (%)2,3 107,085 98,963 47,537 43,644 0.7659 0.0566
 < 20 7454 (7.0) 6980 (7.1) 1871 (3.9) 1846 (4.2)
 20–35 99,304 (92.7) 91,681 (92.6) 43,036 (90.5) 39,414 (90.3)
 > 35 327 (0.3) 302 (0.3) 2630 (5.5) 2384 (5.5)
Maternal education, N (%)2,3 106,764 98,687 47,542 43,606 0.6538 0.0739
 No formal schooling 12,799 (12.0) 11,946 (12.1) 39,211 (82.5) 36,050 (82.7)
 Primary or secondary 80,598 (75.5) 74,326 (75.3) 7161 (15.1) 6418 (14.7)
 University+ 13,367 (12.5) 12,415 (12.6) 170 (2.5) 1138 (2.6)
Parity, N (%)2,3 106,860 98,757 46,450 42,588 0.5140 0.8840
 0 46,925 (43.9) 43,478 (44.0) 8858 (19.1) 8073 (19.0)
 1–2 54,561 (51.1) 50,422 (51.1) 15,536 (33.4) 14,301 (33.6)
 3–4 4961 (4.6) 4482 (4.5) 10,550 (22.7) 9608 (22.6)
 ≥ 5 413 (0.4) 375 (0.4) 11,506 (24.8) 10,606 (24.9)
Antenatal care, N (%)2,3 76,938 71,450 36,216 33,442 0.8103 0.1722
 ≥ 4 ANC visits 57,335 (74.5) 53,282 (74.6) 12,449 (34.4) 11,380 (34.0)
 < 4 ANC visits 19,603 (25.5) 18,168 (25.4) 23,767 (65.6) 22,062 (66.0)
Trimester of first ANC visit, N (%)2,3 100,917 93,130 34,337 31,069 0.0054 0.6086
 First (0–14 wks) 76,072 (75.4) 70,764 (76.0) 12,403 (36.1) 11,400 (36.7)
 Second (15–28 wks) 20,809 (20.6) 18,758 (20.1) 13,656 (39.8) 12,265 (39.5)
 Third (29–42 wks) 4036 (4.0) 3608 (3.9) 8278 (24.1) 7404 (23.8)
Complications of pregnancy, N (%)2,3
 Evidence of hypertensive disease/severe pre-eclampsia/eclampsia 2940/107,006 (2.7) 2600/98,823 (2.6) 2320/47,598 (4.9) 2212/43,681 (5.1) 0.0694 0.3032
 Severe antepartum hemorrhage 621/107,051 (0.6) 546/98,862 (0.6) 1740/47,601 (3.7) 1434/43,684 (3.3) 0.4256 0.0019
 BMI ≥ 25 5692/104,187 (5.5) 5151/96,163 (5.4) 5621/47,441 (11.8) 5196/43,544 (11.9) 0.2501 0.7869
 Hemoglobin measured at/before enrollment < 8 mg/dl 1271/100,935 (1.3) 1229/93,184 (1.3) 1659/9,694 (17.1) 1603/9,147 (17.5) 0.2337 0.5020
 Hemoglobin measured after enrollment and before delivery < 8 mg/dl 466/36,273 (1.3) 406/33,891 (1.2) 958/4,592 (20.9) 964/4,307 (22.4) 0.2871 0.0765
 Multiple birth 1590/107,136 (1.5) 1587/99,001 (1.6) 1114/47,612 (2.3) 1006/43,695 (2.3) 0.0243 0.6984

1All MNH Registry 2010–2018 infants born in 08 Belagavi, 11 Nagpur, and 09 Pakistan with exclusions miscarriage, MTP, and maternal deaths prior to delivery

2In cases of multiple births, maternal demographic variables are counted more than once

3Categorical variable p-values are computed with a cluster-stratified CMH test, while continuous variable p-values are computed with a Wilcoxon rank-sum test

Male infants were more likely to be attended by a physician at birth (50.9% vs. 49.6%), born at a hospital (57.9% vs. 56.5%), delivered by cesarean (18.0% vs. 17.1%) and received bag and mask resuscitation immediately after birth (6.7% vs. 5.5%) (Table 3). There were clinically insignificant differences in mean birth weight (2780 ± 486 g vs. 2717 ± 466 g) and gestational age (38.3 ± 3.4 vs. 38.5 ± 3.4) between male and female infants. There was no significant difference in preterm births between male and female infants. Similar results were found in male and female infants at the Indian and Pakistani sites with an exception of a slightly higher preterm birth rate in males in India (11% vs. 10.6%) (Table 4).

Table 3.

Delivery methods and outcomes by infant gender

Characteristic Overall Infant Gender p-value
Male Female
Infants1 297,509 154,790 142,719
Birth attendant, N (%)2 297,462 154,766 142,696 < .0001
 Physician 149,596 (50.3) 78,835 (50.9) 70,761 (49.6)
 Nurse/nurse midwife/LHW/HW 94,051 (31.6) 48,567 (31.4) 45,484 (31.9)
 TBA 43,296 (14.6) 22,066 (14.3) 21,230 (14.9)
 Family/self/other 10,519 (3.5) 5298 (3.4) 5221 (3.7)
Delivery location, N (%)2 297,439 154,754 142,685 < .0001
 Hospital 170,209 (57.2) 89,606 (57.9) 80,603 (56.5)
 Clinic/health center 82,577 (27.8) 42,592 (27.5) 39,985 (28.0)
 Home/other 44,653 (15.0) 22,556 (14.6) 22,097 (15.5)
Delivery mode, N (%)2 297,503 154,788 142,715 < .0001
 Vaginal 240,721 (80.9) 124,493 (80.4) 116,228 (81.4)
 Vaginal, assisted 4460 (1.5) 2389 (1.5) 2071 (1.5)
 C-section 52,322 (17.6) 27,906 (18.0) 24,416 (17.1)
Bag and mask resuscitation, N (%)2 295,508 153,749 141,759 < .0001
 Yes 18,177 (6.2) 10,353 (6.7) 7824 (5.5)
 No 277,331 (93.8) 143,396 (93.3) 133,935 (94.5)
Birth weight (measured and estimated), N (%)2 297,022 154,514 142,508 < .0001
 < 1000 g 1844 (0.6) 976 (0.6) 868 (0.6)
 1000–1499 g 4143 (1.4) 2172 (1.4) 1971 (1.4)
 1500–2499 g 49,117 (16.5) 23,619 (15.3) 25,498 (17.9)
 ≥ 2500 g 241,918 (81.4) 127,747 (82.7) 114,171 (80.1)
Birth weight (measured), N (%)2 292,082 (98.2) 151,798 (98.1) 140,284 (98.3) < .0001
 Mean (std) 2,749.6 (477.5) 2,779.8 (486.2) 2,716.9 (465.7)
 Median (25p-75p) 2,750.0 (2,500.0, 3,000.0) 2,800.0 (2,500.0, 3,000.0) 2,700.0 (2,500.0, 3,000.0)
Gestational age, N (%)2 289,018 150,474 138,544 0.3232
 Preterm 39,302 (13.6) 20,547 (13.7) 18,755 (13.5)
 Term 249,716 (86.4) 129,927 (86.3) 119,789 (86.5)
Gestational age at delivery, N (%)2 280,287 (94.2) 145,633 (94.1) 134,654 (94.3) < .0001
 Mean (std) 38.4 (3.4) 38.3 (3.4) 38.5 (3.4)
 Median (25p-75p) 39.0 (37.0, 40.0) 39.0 (37.0, 40.0) 39.0 (37.0, 40.0)

1All MNH Registry 2010–2018 infants born in 08 Belagavi, 11 Nagpur, and 09 Pakistan with exclusions miscarriage, MTP, and maternal deaths prior to delivery

2Categorical variable p-values are computed with a cluster-stratified CMH test, while continuous variable p-values are computed with a Wilcoxon rank-sum test

Table 4.

Delivery methods and outcomes by site and infant gender

India Pakistan India p-value Pakistan p-value
Characteristic Male Female Male Female
Infants1 107,148 99,006 47,642 43,713
Birth attendant, N (%)2 107,145 99,001 47,621 43,695 < .0001  < .0001
 Physician 65,439 (61.1) 59,167 (59.8) 13,396 (28.1) 11,594 (26.5)
 Nurse/nurse midwife/LHW/HW 38,210 (35.7) 36,170 (36.5) 10,357 (21.7) 9314 (21.3)
 TBA 1616 (1.5) 1626 (1.6) 20,450 (42.9) 19,604 (44.9)
 Family/self/other 1880 (1.8) 2038 (2.1) 3418 (7.2) 3183 (7.3)
Delivery location, N (%)2 107,127 98,983 47,627 43,702 < .0001 < .0001
 Hospital 73,481 (68.6) 66,401 (67.1) 16,125 (33.9) 14,202 (32.5)
 Clinic/health center 29,562 (27.6) 28,352 (28.6) 13,030 (27.4) 11,633 (26.6)
 Home/other 4084 (3.8) 4230 (4.3) 18,472 (38.8) 17,867 (40.9)
Delivery mode, N (%)2 107,147 99,003 47,641 43,712 < .0001  < .0001
 Vaginal 84,142 (78.5) 78,743 (79.5) 40,351 (84.7) 37,485 (85.8)
 Vaginal, assisted 760 (0.7) 666 (0.7) 1629 (3.4) 1405 (3.2)
 C-section 22,245 (20.8) 19,594 (19.8) 5661 (11.9) 4822 (11.0)
Bag and mask resuscitation, N (%)2 106,283 98,185 47,466 43,574 < .0001 < .0001
 Yes 4952 (4.7) 3,888 (4.0) 5401 (11.4) 3936 (9.0)
 No 101,331 (95.3) 94,297 (96.0) 42,065 (88.6) 39,638 (91.0)
Birth weight (measured and estimated), N (%)2 107,003 98,898 47,511 43,610 < .0001 < .0001
 < 1000 g 639 (0.6) 585 (0.6) 337 (0.7) 283 (0.6)
 1000—1499 g 1258 (1.2) 1159 (1.2) 914 (1.9) 812 (1.9)
 1500—2499 g 15,629 (14.6) 16,931 (17.1) 7990 (16.8) 8567 (19.6)
 ≥ 2500 g 89,477 (83.6) 80,223 (81.1) 38,270 (80.5) 33,948 (77.8)
Birth weight (measured), N (%)2 106,429 (99.3) 98,370 (99.4) 45,369 (95.2) 41,914 (95.9) < .0001 < .0001
 Mean (std) 2747.3 (453.8) 2687.4 (431.5) 2856.0 (547.4) 2786.2 (531.3)
 Median (25p-75p) 2750.0 (2500.0, 3000.0) 2700.0 (2500.0, 3000.0) 2900.0 (2,510.0, 3150.0) 2800.0 (2500.0, 3050.0)
Gestational age, N (%)2 104,865 96,750 45,609 41,794 0.0056 0.0799
 Preterm 11,559 (11.0) 10,297 (10.6) 8988 (19.7) 8458 (20.2)
 Term 93,306 (89.0) 86,453 (89.4) 36,621 (80.3) 33,336 (79.8)
Gestational age at delivery, N (%)2 102,366 (95.5) 94,763 (95.7) 43,267 (90.8) 39,891 (91.3) < .0001 < .0001
 Mean (std) 38.6 (3.1) 38.8 (3.0) 37.7 (4.1) 37.8 (4.0)
 Median (25p-75p) 39.0 (38.0, 40.0) 39.0 (38.0, 40.0) 38.0 (36.0, 40.0) 38.0 (36.0, 40.0)

1All MNH Registry 2010–2018 infants born in 08 Belagavi, 11 Nagpur, and 09 Pakistan with exclusions miscarriage, MTP, and maternal deaths prior to delivery

2Categorical variable p-values are computed with a cluster-stratified CMH test, while continuous variable p-values are computed with a Wilcoxon rank-sum test

The rate of stillbirths was significantly higher in male infants compared to females (Table 5). A total of 9309 infants (32.3/1,000 live births) died between 1 and 42 days 7033 infants (75.6%) died between 1 and 7 days and 2276 infants (24.4%) died between 8 and 42 days. Early neonatal mortality was significantly higher in male infants compared to female infants. However, there were no significant differences in late neonatal mortality and mortality between 29 and 42 days between the two groups. More male infants were hospitalized within 42 days after birth compared to female infants. Similar patterns of mortality rates between the two groups were observed when the Indian and Pakistani sites were analyzed separately (Table 6). However, the rates of mortality were much higher in the Pakistani site compared to the India sites.

Table 5.

Death and hospitalization after delivery by infant gender

Characteristic Overall Infant gender Unadjusted RR p-value
Male Female
Stillbirths, N (rate/1000)1,2,3 8648 (29.1) 4806 (31.0) 3842 (26.9) 1.15 (1.10, 1.20) < .0001
Perinatal mortality rates, N (rate/1000)1,2,3
 ≤ 7 days 15,681 (52.9) 8854 (57.4) 6827 (48.0) 1.19 (1.15, 1.23) < .0001
 ≤ 28 days 17,398 (58.7) 767 (63.3) 631 (53.6) 1.17 (1.14, 1.21) < .0001
Neonatal mortality rates, N (rate/1000)1,2,3
 1–28 days 8750 (30.4) 4961 (33.2) 3789 (27.4) 1.21 (1.16, 1.26) < .0001
 1–7 days 7033 (24.4) 4048 (27.1) 2985 (21.6) 1.25 (1.19, 1.31) < .0001
 8–28 days 1717 (6.1) 913 (6.3) 804 (5.9) 1.06 (0.97, 1.15) 0.1760
 29–42 days 559 (2.0) 303 (2.1) 256 (1.9) 1.11 (0.95, 1.29) 0.1946
Conditions requiring hospitalization in follow up, N (%)1,2 4074 (1.5) 2399 (1.8) 1675 (1.3) < .0001

1All MNH Registry 2010–2018 infants born in 08 Belagavi, 11 Nagpur, and 09 Pakistan with exclusions miscarriage, MTP, and maternal deaths prior to delivery

2Categorical variable p-values are computed with a cluster-stratified CMH test

3Relative risks are unadjusted, calculated from a model using GEE to adjust for cluster

Table 6.

Death and hospitalization after delivery by site and infant gender

Characteristic India Pakistan Unadj. RR p-value
Male Female Male Female India RR Pakistan RR Ind Pak
Stillbirths, N (rate/1000)1,2,3 2444 (22.8) 2006 (20.3) 2362 (49.6) 1836 (42.0) 1.13 (1.05, 1.20) 1.18 (1.12, 1.24) 0.0006 < .0001
Perinatal mortality rates, N (rate/1000)1,2,3
 ≤ 7 days 4558 (42.6) 3516 (35.5) 4296 (90.9) 3311 (76.3) 1.20 (1.14, 1.26) 1.19 (1.14, 1.25) < .0001 < .0001
 ≤ 28 days 5025 (46.9) 3909 (39.5) 4742 (100.3) 3722 (85.8) 1.19 (1.14, 1.24) 1.17 (1.12, 1.22) < .0001 < .0001
Neonatal mortality rates, N (rate/1000)1,2,3
 1–28 days 2581 (24.7) 1903 (19.6) 2,380 (53.0) 1886 (45.4) 1.26 (1.18, 1.34) 1.17 (1.10, 1.24) < .0001 < .0001
 1–7 days 2114 (20.2) 1510 (15.6) 1934 (43.1) 1475 (35.5) 1.30 (1.21, 1.39) 1.21 (1.14, 1.30) < .0001 < .0001
 8–28 days 467 (4.6) 393 (4.1) 446 (10.4) 411 (10.3) 1.11 (0.97, 1.26) 1.01 (0.91, 1.13) 0.1314 0.8068
 29–42 days 122 (1.2) 112 (1.2) 181 (4.3) 144 (3.6) 1.02 (0.80, 1.31) 1.17 (0.95, 1.45) 0.8602 0.1367
Conditions requiring hospitalization in follow up, N (%)1,2 1716 (1.8) 1278 (1.4) 683 (1.7) 397 (1.1) < .0001 < .0001

1All MNH Registry 2010–2018 infants born in 08 Belagavi, 11 Nagpur, and 09 Pakistan with exclusions miscarriage, MTP, and maternal deaths prior to delivery

2Categorical variable p-values are computed with a cluster-stratified CMH test

3Relative risks are unadjusted, calculated from a model using GEE to adjust for cluster

The probable causes of stillbirths and infant deaths between 1 and 42 days were similar in the male and female infants (Tables 7 and 8). Low birth weight/prematurity and birth asphyxia were the common probable causes for stillbirth as well as death between 1 and 42 days of age.

Table 7.

Causes of death by infant gender

Characteristic Overall Infant Gender p-value
Male Female
Stillbirth cause of death, N (%)1,2,3 4091 2286 1805 0.5673
 Birth asphyxia 495 (12.1) 294 (12.9) 201 (11.1)
 Low birth weight (< 2500 g)/prematurity 1454 (35.5) 803 (35.1) 651 (36.1)
 Infection 279 (6.8) 151 (6.6) 128 (7.1)
 Malformation 222 (5.4) 127 (5.6) 95 (5.3)
 Other 1641 (40.1) 911 (39.9) 730 (40.4)
Neonatal death < 42 days cause of death, N (%)1,2,3 9128 5161 3967 0.2396
 Birth asphyxia 2732 (29.9) 1,552 (30.1) 1180 (29.7)
 Low birth weight (< 2500 g)/prematurity 2850 (31.2) 1580 (30.6) 1270 (32.0)
 Infection/sepsis 986 (10.8) 548 (10.6) 438 (11.0)
 Congenital abnormalities/Malformation 454 (5.0) 251 (4.9) 203 (5.1)
 Other/no cause assigned 2106 (23.1) 1230 (23.8) 876 (22.1)

1All MNH Registry 2010–2018 infants born in 08 Belagavi, 11 Nagpur, and 09 Pakistan with exclusions miscarriage, MTP, and maternal deaths prior to delivery

2Categorical variable p-values are computed with a cluster-stratified CMH test

3Physician-assigned stillbirth cause of death is only provided for Versions 0.1–1.4. Physician-assigned neonatal cause of death is constructed from all versions

Table 8.

Infant causes of death by site and infant gender

Characteristic India Pakistan India p-value Pakistan p-value
Male Female Male Female
Stillbirth cause of death, N (%)1,2,3 1224 1002 1062 803 0.3590 0.9886
 Birth asphyxia 226 (18.5) 152 (15.2) 68 (6.4) 49 (6.1)
 Low birth weight (< 2500 g)/prematurity 461 (37.7) 395 (39.4) 342 (32.2) 256 (31.9)
 Infection 122 (10.0) 104 (10.4) 29 (2.7) 24 (3.0)
 Malformation 99 (8.1) 75 (7.5) 28 (2.6) 20 (2.5)
 Other 316 (25.8) 276 (27.5) 595 (56.0) 454 (56.5)
Neonatal death < 42 days cause of death, N (%)1,2,3 2645 1967 2516 2000 0.3335 0.1421
 Birth asphyxia 814 (30.8) 605 (30.8) 738 (29.3) 575 (28.8)
 Low birth weight (< 2500 g)/prematurity 901 (34.1) 685 (34.8) 679 (27.0) 585 (29.3)
 Infection/sepsis 216 (8.2) 188 (9.6) 332 (13.2) 250 (12.5)
 Congenital abnormalities/malformation 167 (6.3) 117 (5.9) 84 (3.3) 86 (4.3)
 Other/no cause assigned 547 (20.7) 372 (18.9) 683 (27.1) 504 (25.2)

1All MNH Registry 2010–2018 infants born in 08 Belagavi, 11 Nagpur, and 09 Pakistan with exclusions miscarriage, MTP, and maternal deaths prior to delivery

2Categorical variable p-values are computed with a cluster-stratified CMH test

3Physician-assigned stillbirth cause of death is only provided for Versions 0.1–1.4. Physician-assigned neonatal cause of death is constructed from all versions

Discussion

Over the past several decades, gender differences have been reported in stillbirth, neonatal and infant mortality with a higher incidence of death in male subjects [14]. However, several studies from south Asia have reported higher late neonatal and infant mortality rates in female subjects [1012]. Our large population-based study involving the Global Network research sites in India and Pakistan demonstrated that more male infants were born compared to females. The rates of stillbirths and early neonatal mortality were significantly higher in male infants. The late neonatal mortality rate (8–28 days) and the mortality rate between ages 29–42 days were similar among the genders. Our analysis also shows the rates of stillbirth, early and late neonatal mortality and mortality between 29 and 42 days are higher for the Pakistani site compared to the two Indian sites.

The sex ratio at birth (ratio of male to female) in humans is reported to be slightly higher for males, with 1050 male births for every 1000 female births [20]. We report a higher sex ratio of 1080 males for every 1000 females at birth in our cohort. As mortality in males is higher throughout the life span, the ratio normalizes over time. Globally, the sex ratio at birth is reported at 1068:1000, with a regional variation from 1032:1000 in sub-Saharan Africa to 1133:000 in eastern Asia [20]. The sex ratio at birth from southern Asia was 1,086:1,000; similar to our cohort [20]. Gender preference and sex selective abortion, a common practice in south Asia is one likely cause for the higher male sex ratio at birth [21]. Despite enactment of laws prohibiting prenatal sex determination, sex-selected abortion is still performed in India, where the desire for small families and ideal sex composition led to a substantial increase in selective abortion of girls, especially after a first-born girl [22]. A more aggressive enforcement of laws prohibiting prenatal sex determination and sex-selected abortion may improve the sex ratio at birth.

The neonatal mortality rate is significantly higher among male infants in high-income countries [14]. Our data confirm higher neonatal mortality rates in male infants. A recent study from northern India also reported a similar trend with a higher neonatal mortality in male infants [10]. Our data also indicate that the rate of stillbirths and perinatal mortality is higher in males compared to females. Mondal et al. in a meta-analysis including more than 30 million births worldwide, reported a 10% higher risk of stillbirths in males [23]. However, in a recent study of mixed-gender twins, Zhao et al. did not find a significant gender difference in the rate of stillbirths [24]. Several explanations for increased perinatal and neonatal mortality observed in males have been proposed. The risks of intrauterine growth restriction, prematurity, respiratory distress syndrome, and birth asphyxia are higher in male infants [2527]. Boys are also heavier than girls at birth, which can contribute to higher rates of delivery complications and birth injuries [5, 12]. In our cohort, the rate of prematurity was similar in the two groups and birth weights were lower in females, suggesting prematurity and intrauterine growth restriction may not have contributed to higher mortality in males. More male infants were provided bag and mask ventilation at birth but birth asphyxia as a cause of death was similar in the two groups. Respiratory distress syndrome and respiratory morbidities are reported to be more common in male neonates [2830]. Unfortunately, we do not have data on respiratory morbidities in our cohort. The underlying mechanisms and cause for increased mortality due to respiratory illness in our study population cannot be determined.

Our results highlight the importance of analyzing data by stratifying neonatal mortality into early neonatal (1–7 days), late neonatal mortalities (8–28) and mortality between 29–42 days. Our data on neonatal mortality indicates higher death rates among male infants. However, the neonatal mortality is higher in male infants due to increased deaths during the first week of life after which the survival rates are similar in male and female infants. Female infants’ survival rates in high-income nations are higher than male infants [5, 24]. However, several studies from South Asia have reported a higher mortality in female infants after 7 days of age [10, 12, 13]. Rosentock et al. in a study from Nepal, reported that boys are at 20% greater risk of early neonatal mortality (< 7 days) and girls have a 43% greater risk of mortality during the late neonatal period (8–28 days) [12]. In a similar study from urban Pakistan, late neonatal mortality (8–28 days) was higher in females, compared to male infants (19.5/1000 vs. 5.5/1000) [13]. In a large database study from rural northern India, the infant mortality rate was significantly higher in females compared to males (7.2% vs. 6.3%) [10]. The death rate was higher in females during the post neonatal period (> 28 days) but not during the neonatal period. However, in our cohort the late neonatal mortality rate (after 7 days) was not higher in female infants compared to males. In India, parents provide less household expenditures for seeking healthcare for female infants compared to male infants [14, 15]. Gupta et al., reported a strong bias against females for seeking medical attention both for outpatient and inpatient care [31]. A recent study from a northern state in India reported that the girls receive less care than boys for neonatal illness [32]. It is possible that a prospective follow-up at 6 weeks for all infants including girls in our cohort may have contributed in reducing late neonatal mortality in females by providing healthcare access. Despite biological advantages and better survival of female infants in high-income nations, the risk of neonatal mortality after 7 days of life among girls is similar to boys in our cohort. We speculate that biological and genetic advantages in females were offset by societal factors that limit resources for care of female infants. The rate of hospitalization after birth was higher in male infants in our population. This suggests that either male infants were more likely to become ill after birth or there was a preferential health-seeking behavior for male infants. Educating parents on the importance of providing equal resources to male and female children and encouraging them to seek preventive and acute care for infants of both sexes may improve mortality after 7 days in girls.

Our study has several strengths; data were analyzed from a large population-based registry in which data are prospectively collected on maternal and infant demographic and clinical characteristics and outcomes. Common protocols and methodologies were used across the sites to document the pregnancy and neonatal outcomes, including stillbirths and neonatal deaths. Longitudinal follow up in this large cohort from early pregnancy to six weeks post-partum allowed for assessment and control of many antenatal factors, and evaluation of trends in early and late neonatal deaths as well as hospitalization after delivery. We also recognize some important limitations of this study. The data were collected from limited geographical areas in India and Pakistan, and the results may not reflect the trends over all for south Asia. There were significant statistical differences in several variables in the baseline demographic, clinical characteristics, and delivery methods in the two groups. We believe that the significant differences were due to a large sample size and may not be clinically significant. We were unable to determine the underlying mechanisms and cause for increased perinatal mortality in males and the loss of survival advantage in females after 7 days of age.

Conclusion

In summary, our data indicate that the risks of stillbirths and early neonatal mortality are higher among male infants than females. However, there were no gender differences in late neonatal and mortality between 29 and 42 days of age. Our results highlight the importance of stratifying neonatal mortality into early and late neonatal periods to better understand the impact of gender on neonatal mortality. We speculate that genetic and biological advantages associated with the female gender do not reduce the late neonatal mortality in girls, or these advantages are possibly offset by gender preference and preferential health-care seeking behavior. Our data contribute to the body of evidence suggesting that fetal sex is an important risk factor for stillbirths and early neonatal mortality. The absence of a survival advantage among female infants after the early neonatal period needs further study in resource-limited countries. The information from this study will help to develop strategies and identify measures that may help to reduce sex-specific mortality.

Acknowledgements

Not applicable.

About this supplement

This article has been published as part of Reproductive Health, Volume 17 Supplement 3, 2020: Global Network MNH. The full contents of the supplement are available at https://reproductive-healthjournal.biomedcentral.com/articles/supplements/volume-17-supplement-3.

Abbreviations

BMI

Body mass index

GN

Global Network, Global Network for Women’s and Children’s Health Research

MNHR

Maternal Newborn Health Registry

NICHD

National Institute of Child Health and Human Development

RA

Registry Administrator

Authors’ contributions

ZHA conceived of the manuscript and wrote the first draft with input from SSG, RJD, PLH, RLG and EMM. SSG, AP, SS, SMD, FN, PL, and AK oversaw study implementation, data collection and quality monitoring. PI, TN performed the statistical analyses. All authors reviewed and approved the final manuscript.

Funding

Publication of this supplement is funded by grants from the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

Availability of data and materials

Not applicable.

Ethics approval and consent to participate

This study was reviewed and approved by all sites’ ethics review committees (Aga Khan University, Karachi; KLE University’s Jawaharlal Nehru Medical College, Belagavi; Lata Medical Research Foundation, Nagpur), and the institutional review boards at each U.S. partner university and the data coordinating center (RTI International). All women provided informed consent for participation in the study, including data collection and the follow-up visits.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Speakman JR. Sex- and age-related mortality profiles during famine: testing the 'body fat' hypothesis. J Biosoc Sci. 2013;45:823–840. doi: 10.1017/S0021932012000818. [DOI] [PubMed] [Google Scholar]
  • 2.Stevenson DK, Verter J, Fanaroff AA, Oh W, Ehrenkranz RA, Shankaran S, Donovan EF, Wright LL, Lemons JA, Tyson JE, et al. Sex differences in outcomes of very low birthweight infants: the newborn male disadvantage. Arch Dis Child Fetal Neonatal Ed. 2000;83:F182–185. doi: 10.1136/fn.83.3.F182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Melamed N, Yogev Y, Glezerman M. Effect of fetal sex on pregnancy outcome in twin pregnancies. Obstet Gynecol. 2009;114:1085–1092. doi: 10.1097/AOG.0b013e3181bd8874. [DOI] [PubMed] [Google Scholar]
  • 4.Steen EE, Kallen K, Marsal K, Norman M, Hellstrom-Westas L. Impact of sex on perinatal mortality and morbidity in twins. J Perinat Med. 2014;42:225–231. doi: 10.1515/jpm-2013-0147. [DOI] [PubMed] [Google Scholar]
  • 5.Drevenstedt GL, Crimmins EM, Vasunilashorn S, Finch CE. The rise and fall of excess male infant mortality. Proc Natl Acad Sci USA. 2008;105:5016–5021. doi: 10.1073/pnas.0800221105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Baqui AH, Darmstadt GL, Williams EK, Kumar V, Kiran TU, Panwar D, Srivastava VK, Ahuja R, Black RE, Santosham M. Rates, timing and causes of neonatal deaths in rural India: implications for neonatal health programmes. Bull World Health Organ. 2006;84:706–713. doi: 10.2471/BLT.05.026443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Elsmen E, Hansen Pupp I, Hellstrom-Westas L. Preterm male infants need more initial respiratory and circulatory support than female infants. Acta Paediatr. 2004;93:529–533. doi: 10.1080/08035250410024998. [DOI] [PubMed] [Google Scholar]
  • 8.Klein SL. Hormones and mating system affect sex and species differences in immune function among vertebrates. Behav Processes. 2000;51:149–166. doi: 10.1016/S0376-6357(00)00125-X. [DOI] [PubMed] [Google Scholar]
  • 9.Yorita KL, Holman RC, Sejvar JJ, Steiner CA, Schonberger LB. Infectious disease hospitalizations among infants in the United States. Pediatrics. 2008;121:244–252. doi: 10.1542/peds.2007-1392. [DOI] [PubMed] [Google Scholar]
  • 10.Chowdhury R, Taneja S, Mazumder S, Bhandari N, Strand TA. Gender differences in infant survival: a secondary data analysis in rural North India. BMJ Open. 2017;7:e014179. doi: 10.1136/bmjopen-2016-014179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Mishra SK, Ram B, Singh A, Yadav A. Birth order, stage of infancy and infant mortality in India. J Biosoc Sci. 2018;50:604–625. doi: 10.1017/S0021932017000487. [DOI] [PubMed] [Google Scholar]
  • 12.Rosenstock S, Katz J, Mullany LC, Khatry SK, LeClerq SC, Darmstadt GL, Tielsch JM. Sex differences in neonatal mortality in Sarlahi, Nepal: the role of biology and environment. J Epidemiol Community Health. 2013;67:986–991. doi: 10.1136/jech-2013-202646. [DOI] [PubMed] [Google Scholar]
  • 13.Jehan I, Harris H, Salat S, Zeb A, Mobeen N, Pasha O, McClure EM, Moore J, Wright LL, Goldenberg RL. Neonatal mortality, risk factors and causes: a prospective population-based cohort study in urban Pakistan. Bull World Health Organ. 2009;87:130–138. doi: 10.2471/BLT.08.050963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Willis JR, Kumar V, Mohanty S, Singh P, Singh V, Baqui AH, Awasthi S, Singh JV, Santosham M, Darmstadt GL. Gender differences in perception and care-seeking for illness of newborns in rural Uttar Pradesh, India. J Health Popul Nutr. 2009;27:62–71. doi: 10.3329/jhpn.v27i1.3318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Pandey A, Sengupta PG, Mondal SK, Gupta DN, Manna B, Ghosh S, Sur D, Bhattacharya SK. Gender differences in healthcare-seeking during common illnesses in a rural community of West Bengal, India. J Health Popul Nutr. 2002;20:306–311. [PubMed] [Google Scholar]
  • 16.Bose CL, Bauserman M, Goldenberg RL, Goudar SS, McClure EM, Pasha O, Carlo WA, Garces A, Moore JL, Miodovnik M, Koso-Thomas M. The Global Network Maternal Newborn Health Registry: a multi-national, community-based registry of pregnancy outcomes. Reprod Health. 2015;12(Suppl 2):S1. doi: 10.1186/1742-4755-12-S2-S1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.McClure EM, Bose CL, Garces A, Esamai F, Goudar SS, Patel A, Chomba E, Pasha O, Tshefu A, Kodkany BS, et al. Global network for women's and children's health research: a system for low-resource areas to determine probable causes of stillbirth, neonatal, and maternal death. Matern Health Neonatol Perinatol. 2015;1:11. doi: 10.1186/s40748-015-0012-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Short VL, Geller SE, Moore JL, McClure EM, Goudar SS, Dhaded SM, Kodkany BS, Saleem S, Naqvi F, Pasha O, et al. The relationship between body mass index in pregnancy and adverse maternal, perinatal, and neonatal outcomes in rural India and Pakistan. Am J Perinatol. 2018;35:844–851. doi: 10.1055/s-0037-1621733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Parks S, Hoffman MK, Goudar SS, Patel A, Saleem S, Ali SA, Goldenberg RL, Hibberd PL, Moore J, Wallace D, et al. Maternal anaemia and maternal, fetal, and neonatal outcomes in a prospective cohort study in India and Pakistan. BJOG. 2019;126:737–743. doi: 10.1111/1471-0528.15585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Chao F, Gerland P, Cook AR, Alkema L. Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels. Proc Natl Acad Sci USA. 2019;116:9303–9311. doi: 10.1073/pnas.1812593116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.George SM. Sex selection/determination in India: contemporary developments. Reprod Health Matters. 2002;10:190–192. doi: 10.1016/S0968-8080(02)00034-4. [DOI] [PubMed] [Google Scholar]
  • 22.Jha P, Kesler MA, Kumar R, Ram F, Ram U, Aleksandrowicz L, Bassani DG, Chandra S, Banthia JK. Trends in selective abortions of girls in India: analysis of nationally representative birth histories from 1990 to 2005 and census data from 1991 to 2011. Lancet. 2011;377:1921–1928. doi: 10.1016/S0140-6736(11)60649-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Mondal D, Galloway TS, Bailey TC, Mathews F. Elevated risk of stillbirth in males: systematic review and meta-analysis of more than 30 million births. BMC Med. 2014;12:220. doi: 10.1186/s12916-014-0220-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Zhao D, Zou L, Lei X, Zhang Y. Gender differences in infant mortality and neonatal morbidity in mixed-gender twins. Sci Rep. 2017;7:8736. doi: 10.1038/s41598-017-08951-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Simchen MJ, Weisz B, Zilberberg E, Morag I, Weissmann-Brenner A, Sivan E, Dulitzki M. Male disadvantage for neonatal complications of term infants, especially in small-for-gestational age neonates. J Matern Fetal Neonatal Med. 2014;27:839–843. doi: 10.3109/14767058.2013.845658. [DOI] [PubMed] [Google Scholar]
  • 26.Aibar L, Puertas A, Valverde M, Carrillo MP, Montoya F. Fetal sex and perinatal outcomes. J Perinat Med. 2012;40:271–276. doi: 10.1515/jpm-2011-0137. [DOI] [PubMed] [Google Scholar]
  • 27.Hou L, Wang X, Li G, Zou L, Chen Y, Zhang W. Cross sectional study in China: fetal gender has adverse perinatal outcomes in mainland China. BMC Pregnancy Childbirth. 2014;14:372. doi: 10.1186/s12884-014-0372-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Condo V, Cipriani S, Colnaghi M, Bellu R, Zanini R, Bulfoni C, Parazzini F, Mosca F. Neonatal respiratory distress syndrome: are risk factors the same in preterm and term infants? J Matern Fetal Neonatal Med. 2017;30:1267–1272. doi: 10.1080/14767058.2016.1210597. [DOI] [PubMed] [Google Scholar]
  • 29.Altman M, Vanpee M, Cnattingius S, Norman M. Risk factors for acute respiratory morbidity in moderately preterm infants. Paediatr Perinat Epidemiol. 2013;27:172–181. doi: 10.1111/ppe.12035. [DOI] [PubMed] [Google Scholar]
  • 30.Correia C, Rocha G, Flor-de-Lima F, Guimaraes H. Respiratory morbidity in late preterm infants. Minerva Pediatr. 2018;70:345–354. doi: 10.23736/S0026-4946.16.04580-1. [DOI] [PubMed] [Google Scholar]
  • 31.Gupta R, Makhija S, Sood S, Devgan V. Discrimination in seeking medical care for female child from birth to adolescence—a retrospective study. Indian J Pediatr. 2016;83:410–413. doi: 10.1007/s12098-015-1959-0. [DOI] [PubMed] [Google Scholar]
  • 32.Vilms RJ, McDougal L, Atmavilas Y, Hay K, Triplett DP, Silverman J, Raj A. Gender inequities in curative and preventive health care use among infants in Bihar, India. J Glob Health. 2017;7:020402. doi: 10.7189/jogh.07.020402. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Not applicable.


Articles from Reproductive Health are provided here courtesy of BMC

RESOURCES