Literature DB >> 32300758

A comparison of neonatal outcomes between adolescent and adult mothers in developed countries: A systematic review and meta-analysis.

Katie Marvin-Dowle1, Hora Soltani1.   

Abstract

Evidence suggests that adolescent pregnancies are at increased risk of adverse neonatal outcomes compared to adult pregnancies; however, there are significant inconsistencies in the literature, particularly in studies conducted in developed countries. The objective of this study therefore is to systematically review the current literature with regard to the relationship between adolescent pregnancy and neonatal outcomes. A literature search was conducted in eight electronic databases (AMED, ASSIA, Child Development and Adolescent Studies, CINAHL, Cochrane Library, Health Source: Nursing, Maternity and Infant Care, MEDLINE and Scopus. The reference lists of included studies were also hand searched. Studies were included if: they were conducted in countries with very high human development according to the United Nations Human Development Index; reported at least one comparison between adolescents (19 years or under) and adult mothers (20-34 years); and were published between January 1998 and March 2018. Studies were screened for inclusion and data extracted by one reviewer. A second reviewer independently reviewed a sub-set of studies. Disagreements were resolved by consensus. Meta-analysis was performed using RevMan 5.3 using crude counts reported in the included studies. Sub-group analyses of adolescents aged 17 and under and 18-19 were conducted. Pooled analysis of adjusted odds ratios was also undertaken in order to consider the effect of confounding factors. Meta-analysis effect estimates are reported as risk ratios (RR) and pooled association as adjusted odds ratios (aORs). Point estimates and 95% confidence intervals are presented. After removal of duplicates a total of 1791 articles were identified, of which 20 met the inclusion criteria. The results of the meta-analysis showed adolescents to have increased risk of all primary adverse outcomes investigated. Sub-group analysis suggests an increased risk of perinatal death and low birthweight for children born to adolescent mothers; 17 and under (perinatal death: RR 1.50, CI 1.32-1.71: low birthweight RR 1.43, CI 1.20-1.70); 18-19 (perinatal death RR 1.21, CI 1.06-1.37: low birthweight RR 1.10, CI 1.08-1.57). Mothers aged 17 and under were also at increased risk of preterm delivery (RR 1.64, CI 1.54-1.75). Analysis adjusted for confounders showed increased risk of preterm delivery (aOR 1.23, CI 1.09-1.38), very preterm delivery (aOR 1.22, CI 1.03-1.44) and neonatal death (aOR 1.31, CI 1.14-1.52). Findings show that young maternal age is a significant risk factor for adverse neonatal outcomes in developed countries. Adolescent maternal age therefore should be considered as a potential cause for concern in relation to neonatal health and it is recommended that health care professionals respond accordingly with increased support and monitoring. Crown
Copyright © 2020 Published by Elsevier B.V.

Entities:  

Keywords:  Adolescent pregnancy; Meta-analysis; Neonatal outcomes; Systematic review

Year:  2020        PMID: 32300758      PMCID: PMC7152816          DOI: 10.1016/j.eurox.2020.100109

Source DB:  PubMed          Journal:  Eur J Obstet Gynecol Reprod Biol X        ISSN: 2590-1613


Introduction

Adolescent pregnancies are defined as pregnancies occurring in women aged 19 years or under at the time of conception. Adolescent pregnancy is a global issue with approximately 2 million girls under the age of 16, and 16 million between the ages of 15 and 19 becoming pregnant annually. Adolescent pregnancies are associated with socio-economic deprivation, on both a global and local level [1]. Young women who are living in poverty, with low levels of education and in marginalised communities are most likely to become pregnant at an early age and continue to experience high levels of deprivation. Globally rates of adolescent pregnancy have reduced from 56.3 conceptions per 1,000 females aged 15–19 in 2000 to 42.5 per 1,000 in 2017. Rates in high income countries are reducing faster from 23.4–12.5 in the same time period. This said, even amongst countries with the highest levels of human development according to the UN human development index there is significant variation in the adolescent fertility rate from 2.7 per 1,000 in Hong Kong to 19.9 per 1,000 in the United States, suggesting that social and cultural factors play an important part in the prevalence of adolescent childbearing [2]. Adolescent age may be an independent risk factor for adverse pregnancy outcomes. One robust systematic review of studies of young adolescents conducted in low and middle income countries found that maternal age <15 years or less than 2 years after menarche had a negative effect on maternal and foetal growth, and infant survival, and a moderate relationship between young maternal age and anaemia, premature birth and neonatal mortality. [3]. There are suggestions that because some adolescents will still be growing during pregnancy they may compete with the developing embryo to satisfy their own growth needs. A prospective cohort study examining the relationship between maternal growth and outcomes found that continued maternal growth in adolescents affected nutrient partitioning between mother and child, and that this impacted negatively upon foetal growth and prematurity [4]. This is however contested by a UK based study [5] which found that the average birthweight of babies born to adolescent women who were still growing was in fact higher than those of young women who had finished growing. Average infant birthweight in the non-growing adolescent group was however significantly lower than adult controls. There exists a reasonable amount of evidence to indicate that outcomes for adolescent mothers compare less favourably with adults. However, there is considerable inconsistency in these findings particularly between those studies conducted in developed countries. For example, one Canadian study found that while adolescent women were at increased risk of very preterm birth there was no difference in risk of foetal death between adolescent and adult mothers [6]; however a further Australian study identified adolescent maternal age as a risk factor for stillbirth and neonatal death [7]. There has been no recent systematic review creating an overall picture of differences in birth outcomes for adolescent women compared to an adult control group, particularly focused on high income countries. This study therefore aims to review the evidence to address the question "Is there a higher risk of adverse perinatal outcomes among babies born to adolescent mothers (age 19 years or younger) compared to those born to older mothers in developed countries?"

Materials and methods

A protocol for this systematic review is registered with Prospero (number CRD42018092182). The study was exempt from ethics approval because the research was not conducted with humans or animals and used publicly available data. There was no patient or public (PPI) involvement in the study.

Search strategy

The following electronic databases were searched: AMED, ASSIA, Child Development and Adolescent Studies, CINAHL, Cochrane Library, Health Source: Nursing, Maternity and Infant Care, MEDLINE and Scopus from Jan 1998 to 1 March 2018. Primary studies using any design were included where they reported data for at least one of the outcomes of interest for an adolescent group (≤19 years) alongside an adult control group (20–34 years) or groups within these age brackets. A detailed report of the search strategy employed is available in Appendix 1. Bibliographies of papers selected for inclusion in the review were also hand searched to identify any further relevant references. Identified citations were entered into a RefWorks database and duplicates removed. One researcher screened papers; initially by title and abstract followed by a full text review of papers whose abstracts appeared to fulfil the inclusion criteria, papers selected after full text review were then screened by a second reviewer. Where uncertainties regarding inclusion arose the article was reviewed by a third researcher and a consensus decision made.

Study selection

Primary studies were included if: they were conducted in countries with very high human development according to the United Nations Human Development Index; reported a comparrison of at least one of the prespecified outcomes of interest between adolescent (19 years and under) and adult mothers (20–34 years); and were published between January 1998 and March 2018. Inclusion criteria were not limited with respect to study design [8 All types of non-peer reviewed literature including editorials, letters and newspaper articles were excluded. The AXIS tool [9] for the critical appraisal of the quality of cross-sectional studies was used.Where there were serious concerns such as inadequate or inconsistent reporting the paper was excluded following unsuccessful attempts to contact the authors.

Outcomes

The prespecified outcomes of interest in this study as outlined in the published protocol were: low birthweight (<2500 g); pre-term delivery (<37 completed weeks gestation); small for gestational age (<5th percentile); APGAR score at 1 min and 5 min <7; stillbirth (death of the foetus before or during birth); perinatal death (death of the foetus or neonate between 22 completed weeks of gestation and 7 days after birth); and neonatal death (deaths up to 28 days following birth). The APGAR score is a value from 0 to 10 which is derived from the sum of scores out of 2 for each of the five components (Appearance, Pulse, Grimace, Activity, Respiration). Assessments are usually made at 1 and 5 min following birth and scores below 7 indicate cause for concern [10]. Where stratified data are reported in the included papers (e.g. very low birthweight, very preterm delivery) these strata were also considered as secondary outcomes in the analysis. No core outcome set was used as none were available concerning maternal age. Core outcome sets for pre-term delivery, stillbirth and Intrauterine Growth Restriction (IUGR) were reviewed and the present study is considered to contribute to the wider understanding of these outcomes.

Data synthesis

Data from the included studies were extracted and collated using RevMan 5.3 by one researcher and checked by a second. Where data are expressed as percentages or rates, crude counts were imputed to enable inclusion in the analysis. Following a sensitivity analysis of the included studies, no sub-groups based on characteristics of included studies were considered to be appropriate, therefore heterogeneity of included studies was assessed statistically. Meta-analytical estimates were reported using a fixed effects model if I2 statistic was less than 50% (indicating low-moderate heterogeneity between study results), otherwise a random effects model was assumed. Estimates for dichotomous outcomes were expressed as risk ratios (RR) with 95% confidence intervals (CI). Sub-group analyses consisting of adolescents aged 17 and under versus those aged 18–19 (both compared with an adult group) was undertaken where data allowed. In order to account for potential confounders inverse-variance weighting was used to obtain meta-analytical estimates of adjusted odds ratios (aORs) on the natural logarithmic scale; random effects were assumed. There were insufficient data to perform a sub-group analysis of adjusted odds ratios.

Results

Participants

Following a comprehensive search of relevant databases a total of 1,791 unique studies were identified after removal of duplicates. Following screening of the papers and application of the inclusion and exclusion criteria 20 papers remained for inclusion in the review. A PRISMA flowchart of study selection is shown in Fig. 1. Characteristics of included studies are given in Table 1.
Fig. 1

PRISMA Flow chart.

Table 1

Characteristics of included studies.

Study information
Participants
OutcomesQuality
StudyCountryDesignTime period of data collectionNumber in adolescent group(s)AgeNumber in adult groupAgeInclusion criteriaExclusion criteriaOutcomes reportedQuality rating
Bai 1999AustraliaRetrospective cohortMarch 1996–June 1998128<18589820–34Singletons born at Liverpool Hospital, New South Wales, during the study periodLess than 20 weeks gestation or birth weight less than 500 gramsPreterm delivery (<37 weeks)+/−
Stillbirth
31318–19Low birth weight (<2500 g)
Average birth weight
Buschman 2001UKRetrospective cohortNR104<1615025–30Random sample from medical case notes of babies born at Tayside Hospital, DundeeLast pregnancy body weight recorded before 36 weeks gestation, age over 30 yearsMean gestation at delivery+
Mean birth weight
Low birth weight (<2500 g)
El-Gilany 2012Saudi ArabiaRetrospective cohortJan 2010 – Dec 2010404<20369120–34Women accessing maternity care across 40 primary health care centres in the Northern region of Saudi ArabiaFiles with incomplete dataPreterm delivery (<37 weeks)+
Stillbirth
Low birth weight (<2500 g)
Fayed 2018Saudi ArabiaRetrospective cohortNov 2013 - Mar 2015296<20699420–29Women recruited for the RAHMA multi-centre cohort studyNonePreterm delivery (<37 weeks)+
Preterm delivery (<34 weeks)
Stillbirth
Low birth weight (<2500 g)
Mean birth weight
APGAR <7
Fleming 2013CanadaRetrospective cohortJan 2006 – Dec 201023,810<20523,72120–35Women registered on the Better Outcomes Registry and Network Ontario databaseAge over 35 years, stillborn, multiple birthsMean gestation at delivery+
Mean birth weight
Small for gestational age
Low birth weight (<2500 g)
Preterm delivery (<37 weeks)
Preterm delivery (<32 weeks)
Gupta 2008UKRetrospective cohortJan 1990 – Dec 1999587<1717,61520–34Primiparous women recruited for the Cardiff Births SurveyAge over 34 yearsPreterm delivery (<37 weeks)+
Preterm delivery (29–32 weeks)
Preterm delivery (24–28 weeks)
4,126<20Low birth weight (<2500 g)
Stillbirth
Neonatal death
Perinatal death
Haldre 2007EstoniaRetrospective cohortJan 1992 – Dec 20024,248<1835,26620–24Primiparous women recorded on the Estonian Medical Birth RegistryAge over 24 yearsPreterm delivery (<37 weeks)+
Low birth weight (<2500 g)
Stillbirth
12,37618–19Neonatal death
Perinatal death
Jolly 2000UKRetrospective cohortJan 1988 – Dec 19975,245<18336,46218–34Singleton births recorded in the St Mary's Maternity Information System DatabaseAge over 34 yearsSmall for gestational age+
Preterm delivery (<37 weeks)
Preterm delivery (<32 weeks)
Stillbirth
APGAR <7
Kawakita 2016USARetrospective cohortJan 2002 – Dec 20081,189<1627,64520–24Primiparous women with singleton pregnancies recorded in the Consortium of Safe LaborWomen aged over 24Preterm delivery (<37 weeks)+
Preterm delivery (<34 weeks)
Preterm delivery (<28 weeks)
Low birth weight (<2500 g)
14,70316–19Very low birth weight (<1500 g)
APGAR <7
Perinatal death
Korencan 2017SloveniaRetrospective cohortJan 2008 – Dec 2012318<1812,11220–24Primiparous women recorded on the National Perinatal Information System in SloviniaWomen aged over 24Preterm delivery (<32 weeks)+
Preterm delivery (32–36 weeks)
Small for gestational age
Low birth weight (<2500 g)
1,413<20Very low birth weight (<1500 g)
APGAR <7
Stillbirth
Lao 2012Hong KongRetrospective cohortJan 1998 – June 20081,505<2010,32020–24Primiparous women with singleton pregnancies delivering at Prince of Wales Hospital, Shatin, during the study periodWomen aged over 24Mean gestation at delivery+
Mean birth weight
Preterm delivery (<34 weeks)
Preterm delivery (34–36 weeks)
Low birth weight (<2500 g)
APGAR <7
Stillbirth
Neonatal death
Perinatal death
Leppalahti 2013FinlandRetrospective cohortJan 2006 – Dec 20118413–1551,14225–29Primiparous women with singleton pregnancies recorded on the Finish national Medical Birth RegisterCases of major congenital abnormalities, women aged 20–24 or over 29 yearsPreterm delivery (<37 weeks)+
1,23416–17Preterm delivery (<28 weeks)
5,98718–19Small for gestational age
Stillbirth/neonatal death
Marvin-Dowle 2018UKRetrospective cohortMar 2007 – Dec 201068<163,95120–34Primiparous women with singleton pregnancies in the Born in Bradford cohort studyWomen aged over 34 yearsPreterm delivery (<37 weeks)+
Preterm delivery (<32 weeks)
Preterm delivery (<28 weeks)
Low birth weight (<2500 g)
Very low birth weight (<1500 g)
Extremely low birth weight (<1000 g)
640<20Small for gestational age
APGAR <7
Stillbirth
Mean gestation at delivery
Mean birth weight
Mohsin 2006AustraliaRetrospective cohortJan 1998 – Dec 200219,648<20336,82620–34Births recorded in the NSW Midwives data CollectionBirths at less than 20 weeks gestation or with a birthweight of less than 400gStillbirth+
O'Leary 2007AustraliaRetrospective cohortJan 1994 – Dec 200314,725<2043,81020–24Births recorded in the MCHRDB databaseBirths at less than 20 weeks gestation or with a birthweight of less than 400gStillbirth+
Neonatal death
Otterblad Olausson 1999SwedenRetrospective cohortJan 1973 – Dec 198983113–15259,49420–24Primiparous women with singleton pregnancies recorded on the Swedish Medical Birth RegisterWomen aged over 24 yearsStillbirth+
11,37916–17Neonatal death
Post-neonatal death
48,47018–19Preterm delivery (33–36 weeks)
Preterm delivery (23–32 weeks)
Papamichael 2009UKRetrospective case-controlJan 2004 – Dec 200735<163520–30The index group (all women aged <16) was draw from the North Middlesex University Hospital database and the consecutive birth to a women in the other two age groups, mached by parity and ethnicity, selected for the two control groupsNot reportedSmall for gestational age+/−
3516–19Stillbirth
Smith 2001UKRetrospective cohortJan 1992 – Dec 1998969915–1959,31520–29Primiparous women recorded on the Scottish morbidity record 2Not reportedPreterm delivery (33–36 weeks)+/−
Preterm delivery (24–32 weeks)
Small for gestational age
Stillbirth
Neonatal death
Socolov 2017RomaniaRetrospective cohortJan 2007–Dec 20141,27612–179,47920–24Women delivering a singleton at Cuza Voda Hospital, Iasi, during the study periodWomen aged over 24 years, delivery at less than 24 weeks gestationMean gestation at delivery+
Mean birth weight
Preterm delivery (24–36 weeks)
Preterm delivery (24–34 weeks)
2,61518–19Preterm delivery (24–28 weeks)
Low birth weight (<2500 g)
Very low birth weight (<1500 g)
APGAR <7
Suzuki 2018JapanRetrospective cohortJan 2002 – Dec 2016325<182,02928–30Women delivering a singleton at Katsushika Maternity Hospital during the study periodDelivery at less than 22 weeks gestationPreterm delivery (<37 weeks)+/−
Low birth weight (<2500 g)
Perinatal death
PRISMA Flow chart. Characteristics of included studies. The twenty studies included [6,7,[11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28]] in the review reported data on 191,091 adolescent mothers aged under 20, 25,655 adolescent mothers aged 17 and under and 69,761 adolescent mothers aged 18−19 years as well as 1,745,955 adult women. Sample sizes ranged from 35 to 60,680 in the adolescent groups and from 35 to 523,721 in the adult groups. Women included in the adult group were all aged 20–34 years in order to control for the effect of advanced maternal age; however there was some variation between studies within this bracket. With the exception of one retrospective case-control study [25], all included studies used a retrospective cohort design. Sensitivity analysis was undertaken to examine potential reasons for high levels of heterogeneity observed for some outcomes however no clear sub-groups based on study quality or design or inconsistencies in populations were evident. Four of the included studies were assessed as having a moderate risk of bias with the remaining 16 considered to have low risk of bias. There were sufficient data to perform meta-analysis for nine outcomes in all adolescents vs. control. Sub-group analyses of adolescents aged 17 and under and 18–19 were completed for four outcomes. Meta-analysis results suggest adolescents to be at increased risk of adverse neonatal outcomes compared to the adult groups. Sub-group analyses showed increased risk of perinatal death, low birthweight and preterm delivery in women aged 17 and under and increased risk of perinatal death and low birthweight in those ages 18–19. Results of the meta-analyses are shown in Table 2. Forest plots showing sub-group analyses are provided in Fig. 2, Fig. 3, Fig. 4, Fig. 5.
Table 2

Results of meta-analysis.

Number of StudiesParticipants
Relative Risk [95% CI]I2 (%)
AdolescentsAdults
Adolescents aged 19 and under vs. control
Stillbirth14152,1291,534,0981.27 [1.11, 1.45]54
Neonatal death6142,5631,153,2731.44 [1.33, 1.56]43
Perinatal death10161,4261,363,3671.29 [1.22, 1.36]45
Low birthweight <2500 g1165,229641,0311.28 [1.15, 1.43]86
Very low birthweight <1500 g538,46088,4531.35 [1.08, 1.70]65
Preterm delivery <37 weeks17153,5801,405,0881.30 [1.12, 1.50]97
Very preterm delivery <32 weeks762,7831,028,4361.69 [1.48, 1.93]64
APGAR score <7 at 1 min35,94425,5421.31 [1.17, 1.47]17
APGAR score <7 at 5 min623,63770,5011.39 [1.06, 1.82]67
Sub-group analysis according to age categories (very young and young versus adult women)
Adolescents aged 17 and under vs. control
Stillbirth722,253653,2181.15 [0.97, 1.38]0
Perinatal death519,290375,5761.50 [1.32, 1.71]0
Low birthweight <2500 g77,54996,3801.43 [1.20, 1.70]74
Preterm delivery <37 weeks1126,358743,5131.64 [1.54, 1.75]44
Adolescents aged 18–19 vs. control
Stillbirth360,339297,4081.06 [0.94, 1.20]0
Perinatal death366,013342,6521.21 [1.06, 1.37]38
Low birthweight <2500 g315,30450,6431.10 [1.08, 1.57]95
Preterm delivery <37 weeks568,941358,0290.98 [0.64, 1.50]99
Fig. 2

Stillbirth sub-group analysis based on age categories.

Fig. 3

Preterm delivery sub-group analysis based on age categories.

Fig. 4

Low birthweight sub-group analysis based on age categories.

Fig. 5

Perinatal death sub-group analysis based on age categories.

Results of meta-analysis. Stillbirth sub-group analysis based on age categories. Preterm delivery sub-group analysis based on age categories. Low birthweight sub-group analysis based on age categories. Perinatal death sub-group analysis based on age categories.

Further analysis of adjusted outcomes

Meta-analysis of adjusted odds ratios was carried out for all outcomes where the authors of the included studies had reported an adjusted odds ratio calculated using a multiple logistic regression model. Odds ratios were included where any confounding variables had been included in the model. All studies either only included primiparas and singletons or adjusted for parity and multiple births. Other variables commonly controlled for included measures of socioeconomic status, education, marital status, smoking and maternal body mass index. Full details of the specific variables included in regression models by each study are given in Table 3. Where studies reported more than one adjusted odds ratio for a given outcome (for example one adjusted odds ratio for mothers aged 17 and under and another for mothers aged 18–19) all of these data points were included in the analysis. Care was taken to ensure that no participants were double counted so as to avoid unit of analysis errors.
Table 3

Variables adjusted for in regression models in studies included in the meta-analysis of adjusted odds ratios.

Study IDNumber of data pointsRestricted to primiparasRestricted to singletonsVariables adjusted for in regression model
Fayed 20181NoYesBMI, parity, gestational age, smoke exposure, hypertension, diabetes
Haldre 20072YesYesEthnicity, marital status, place of residence, calendar year, adequacy of prenatal care, smoking
Jolly 20001NoYesEthnicity, parity, BMI, hypertension, diabetes, preclampsia, smoking
Kawakita 20162YesYesEthnicity, marital status, insurance type, substance abuse, BMI, hospital type, gestational age, diabetes, hypertension
Leppalahti 20133YesYesCohabitation status, type of residence, smoking, adequacy of prenatal care, alcohol or drug misuse, BMI, diabetes, hypertension, placental abruption, chorioamnionitis, pre-eclampsia, eclampsia, anaemia, history of spontaneous abortions
Marvin-Dowle 20181YesYesIndex of multiple deprivation score, ethnicity
Mohsin 20062
Model 11NoNoInfant sex, maternal age, country of birth, smoking behaviour during pregnancy, parity, maternal hypertension, birth weight, gestational age
Model 21NoNoInfant sex, maternal age, country of birth, smoking behaviour during pregnancy, parity, maternal hypertension, birth weight
O'Leary 20072NoNoBirth year, parity, marital status, race, multiple bith, socio-economic disadvantage, region
Otterblad-Olausson 19993YesYesEducation, birth year
Smith 20011YesYesMaternal height category, deprivation, previous spontaneous and theraputic abortions, year
Variables adjusted for in regression models in studies included in the meta-analysis of adjusted odds ratios. As shown in Table 4, results of the meta-analysis of adjusted odds ratios indicates an increased risk of preterm delivery, very preterm delivery and neonatal death in adolescents compared to adults. Odds ratios for low birthweight, stillbirth and APGAR score <7 at 5 min were not statistically significant. Forest plots showing the results of the meta-anlysis of adjusted odds ratios are shown in Fig. 6, Fig. 7, Fig. 8, Fig. 9, Fig. 10.
Table 4

Results of meta-analysis of adjusted odds ratios.*

Number of StudiesNumber of Data Points¥Odds Ratio [95% CI]I2 (%)
Preterm delivery <37 weeks [14,[16], [17], [18]] [21,29],6101.23 [1.09–1.38]82
Very preterm delivery <32 weeks [17,29,30]331.22 [1.03–1.44]53
Low birthweight <2500 g [14,16,18,29]461.13 [0.98–1.30]75
Stillbirth [7,14,16,17,24,[29], [30], [31]]8131.02 [0.96–1.09]0
Neonatal death [7,16,24,30,31]5101.31 [1.14–1.52]61
APGAR score <7 at 5 min [14,18,29]340.97 [0.83–1.14]0

Details of variables included in the adjusted analysis by each study are shown in Table S2.

Where studies reported more than one adjusted odds ratio (data point) for an outcome, e.g. for sub-groups based on adolescent age, all of the reported results were included in the pooled estimate.

Fig. 6

Summary odds ratio - Preterm delivery.

Fig. 7

Summary odds ratio - Low birthweight.

Fig. 8

Summary odds ratio – Stillbirth.

Fig. 9

Summary odds ratio - Neonatal death.

Fig. 10

Summary odds ratio - Very preterm delivery.

Results of meta-analysis of adjusted odds ratios.* Details of variables included in the adjusted analysis by each study are shown in Table S2. Where studies reported more than one adjusted odds ratio (data point) for an outcome, e.g. for sub-groups based on adolescent age, all of the reported results were included in the pooled estimate. Summary odds ratio - Preterm delivery. Summary odds ratio - Low birthweight. Summary odds ratio – Stillbirth. Summary odds ratio - Neonatal death. Summary odds ratio - Very preterm delivery.

Mortality

The main meta-analysis of crude counts showed a higher risk of stillbirth for adolescent vs. adult mothers; however this was not the case in the sub-group or adjusted analyses. The results showed a higher risk of perinatal death, including neonatal death than adult controls consistently for all adolescent age groups and for the subgroups. Analysis of neonatal death in the adjusted analysis also showed increased risk.

Pre-term delivery

The results of the meta-analysis showed that adolescent women had higher risk of both pre-term birth and very pre-term birth (less than 32 completed weeks of gestation) in the adolescent group overall compared to adult women. Sub-group analysis showed an increased risk of preterm birth in those young women aged 17 and under. The adjusted analysis also showed an increased risk of preterm birth in adolescents.

Low birthweight

Unfortunately, the studies reporting small for gestational age (<10th percentile) used wide-ranging definitions meaning that meta-analysis of this outcome was not possible. Analyses of both low (<2500 g) and very low birthweight (<1500 g) showed a higher risk of these adverse outcomes in all adolescents and in the sub-groups compared to adults. However, the increased risk of low birthweight in adolescents was not statistically significant in the adjusted analysis.

APGAR score

The risk of having a baby with an APGAR score below 7 at both 1 and 5 min was higher in the adolescent group. There were insufficient data to examine APGAR score in sub-groups or with adjusted odds ratios.

Comment

Main findings

The findings showed an increased risk of adverse neonatal outcomes for babies born to adolescent mothers when compared to an adult mothers. The crude meta-analysis showed higher risk for all adverse outcomes in the adolescent group overall, as well as for perinatal death and low birthweight in both sub-group analyses and preterm birth in young women aged 17 and under. The results of the adjusted analysis showed mediated effects; however there is still evidence to suggest that risk of preterm delivery and neonatal death is higher in adolescent mothers compared to adult mothers.

Strengths and limitations

A significant strength of this study is the large number of participants included in the meta-analysis. This made it possible to examine the risk of rarer outcomes such as very low birthweight, very preterm delivery and perinatal mortality with a reasonable degree of precision regarding the reliability of results. There were some issues with heterogeneity in the main meta-analysis; however these issues appear largely resolved in the sub-group analyses suggesting that the issues are not major methodological concerns and are more likely due to the variation in study size. While included studies were limited based on the UN human development index, selected due to its multi-dimensional nature, there remains significant differences between the study countries of origin in terms of culture, traditions and health systems which may influence results. Sub-group analysis by country of origin was not possible due to most countries contributing only one study, however this factor should be considered when interpreting the results. Although limited data were available for some of the outcomes in the sub-groups the analysis returned significant results for three important outcomes; low birthweight, preterm delivery and perinatal death. The lack of significant results for some outcomes is likely to be due to the small number of events despite large numbers of participants, meaning the sub-group analysis was underpowered. The analysis of adjusted odds ratios was undertaken in order to consider the impact of confounding factors known to effect birth outcomes. This said, there was some variation in the confounding variables included in the multiple logistic regression models used in the original studies, therefore conclusions regarding the relative impact of confounding variables should be interpreted with caution.

Interpretation

The outcomes explored in this review were designed to reflect the main indicators which may affect health and wellbeing both neonatally and in the longer term. Foetal growth and development has a significant influence on the health and wellbeing of individuals, affecting neonatal outcomes and infant survival as well as the health of the individual throughout their life course. The first 1,000 days of life, from conception to age 2 have been identified as a crucial time period for development and for laying the foundations for a healthy life. Nutrition [32], social support, relationships and environments [33] have been identified as the key components which shape future outcomes. Babies born with extremely low birthweight and those who are extremely preterm are at significantly higher risk of dying within the first few months of life [34]. Mortality rates of babies born prematurely in the UK decrease rapidly with each additional week of gestation [35] therefore understanding the causes of extremely preterm delivery is a significant factor in reducing perinatal deaths. Longer term, outcomes for children born very preterm and/or with very low birthweight have been shown to include difficulties at school with both behaviour and achievement [36] and low birthweight has been linked to a number of chronic conditions in adulthood such as ischaemic heart disease, hypertension and central adiposity [37]. The results of this review and meta-analysis suggest that young maternal age is associated with perinatal mortality, low birthweight and preterm delivery. This may be an important modifiable factor for reducing the burden of disease in the population. Analysis of neonatal and perinatal death showed a significant increased risk in adolescents. There is some evidence to suggest that mortality may be higher among babies born to adolescent women due in part to the relationship between these types of death and pre-term, low birthweight babies, which it has already been established are more common in this population. Chen et al. [38] found that the odds of neonatal death were higher in all adolescent age groups studied (10–15 years, 16–17 years and 18−19 years) but that maternal age was no longer predictive of neonatal death once gestational age and birthweight were included in the regression model. Due to the limited availability of reported data it was not possible to consider the influence of birthweight or gestational age on mortality in this review, suggesting that this may be an avenue for further work. The APGAR score is the most commonly used method of assessing the condition of a new-born at birth. Evidence of low APGAR scores in babies born to adolescent mothers reported to date is mixed; while one large study reports greater relative risk of scores under 7 and under 4 in babies born to young women aged under 17 [38], a number of other similar studies failed to detect a significant difference between groups for this variable [11,31,39]. Using meta-analysis therefore to examine APGAR score in this population is helpful in drawing conclusions regarding the wellbeing of babies at birth. The results reported here show a higher risk of low APGAR score in babies born to adolescent women; however there were insufficient data to include this variable in the sub-group or adjusted analyses. In addition to the evidence presented here of the impact of young maternal age, there is significant evidence in the literature of the impact of other factors on adverse outcomes. Factors such as socio-economic status [40], cigarette smoking [41] and lower gestational weight gain [42] have all been shown to increase the likelihood of adverse outcomes; particularly preterm delivery and low birthweight. These factors have also been independently associated with adolescent pregnancy [43,44], suggesting that not only are babies born to adolescents potentially affected by the mother's biological immaturity [4,45], they may also be at higher risk of exposure to other detrimental environmental factors. These factors were addressed to some extent in the analysis of adjusted odds ratios, a strategy which was also employed by a previous review [3] which excluded studies which did not control for parity and SES. The previous review only assessed outcomes in women aged under 16 years and did not restrict inclusion by study country of origin. The sub-group analysis conducted in the current review showed a significantly higher risk of preterm birth in those aged under 17 which was not present in the analysis of 18−19 year olds. This suggests that younger age is associated with higher risk of preterm birth even within the adolescent cohort. The results of the two reviews overall are however largely consistent suggesting that higher risk of adverse outcomes is still relevant to older adolescents and those living in countries with high levels of human development. Although in recent years significant reductions in adolescent pregnancies have been achieved, both globally [46] and locally [47], well-designed studies are required to understand the aetiology of such observed poor outcomes and what appropriate maternity care pathways should be put in place for those adolescent mothers who are pregnant to enhance the health and survival of the new-borns in these vulnerable groups.

Conclusion

Young maternal age is a significant risk factor for adverse neonatal outcomes in developed countries. Adolescent maternal age therefore should be considered as a potential cause for concern in relation to neonatal health and it is recommended that health care professionals respond accordingly with increased support and monitoring. Further research into the mechanisms underlying differences due to maternal age would be advantageous.

Contribution to authorship

The concept and design of the review was developed jointly by KMD and HS. Acquisition, analysis and interpretation of data was conducted by KMD with HS carrying out checks for quality and accuracy at each stage. The article was drafted by KMD and revised critically by HS, with both authors approving the final version for publication. Both authors agree to be accountable for all aspects of the work.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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