Adolescence [defined by the World Health Organization (WHO) as the time period between
the ages of 10 and 19 years] is a critical period in human physical and psychosocial
development when an individual progresses from an immature state to a mature state
capable of reproduction. Pregnancies in this stage of life account for 23% of the
burden of disease arising from pregnancy and childbirth, despite only representing
11% of all births worldwide.1 They incur increased risks for a number of adverse growth
and developmental outcomes, in both the offspring (e.g. small for gestational age,
SGA)2, 3 and the mother (e.g. early cessation of linear growth),4, 5 that are known
to impact adversely on long‐term morbidity and mortality risk.3, 6
Ninety‐five percent of the 16 million adolescent pregnancies that occur each year
are in low‐ and middle‐income countries (LMICs),1 and this is where the burden of
SGA and stunting is concentrated.7
BJOG published an issue last year on the WHO Multicountry Survey of Maternal and Newborn
Health, in which the authors of one paper reported higher rates of various pregnancy
and childbirth outcomes (including low birthweight) in adolescents aged 10–19 years,
compared with young adults aged 20–24 years, and concluded that ‘interventions are
crucial to reduce adverse pregnancy outcomes among adolescent women in LMICs’.2 Given
the close links of nutrition with growth and development and the high burden of undernutrition
in many of these settings,8 we questioned what evidence exists to design a tailored
nutritional intervention. This commentary reviews what we know and don't know about
the nutritional determinants of the adverse growth and development‐related health
outcomes of adolescent pregnancy, drawing on evidence firstly from observation studies
and secondly from intervention studies. We end by discussing the need for more robustly
designed observational studies to understand the nutritional epidemiology of adolescent
pregnancy, and provide a stronger evidence base against which future nutritional interventions
can be developed.
Evidence from observation studies
Physical size (e.g. weight and height) is an indicator of nutritional status, and
the odds of SGA are increased in adult women with pre‐pregnancy height [odds ratio
(OR) 1.9] or weight (OR 2.5) in the lowest, compared with the highest, quartile.9
The well‐known increased risk of adverse birth outcomes in pregnant adolescents, compared
with pregnant young adults,2, 3 coincides with the fact that adolescents are smaller
because they are still growing: between menarche and the cessation of linear growth
approximately an additional 7 cm in height is gained, on average.10 It is hypothesised
that there is competition for nutrients between the still growing adolescent mother
and her rapidly developing fetus, also known as ‘nutrient partitioning’, which may
result in the growth and development of the mother and/or fetus being compromised.
An alternative explanation, which may work in tandem with nutrient partitioning, is
that optimal fetal development is being traded‐off as a result of gynaecological immaturity
(in girls who are still growing and developing) to allow safe delivery. This rationale
is supported by the evidence that the risks of SGA are greatest in girls who are the
most gynaecologically immature.11
Studies in Bangladesh and Mexico have suggested that adolescent girls (aged 12–19
years and 13–17 years, respectively) stop growing in response to pregnancy: the change
in height (from the first trimester to 6 months postpartum in the study from Bangladesh,
and from <20 weeks of gestation to 1 month postpartum in the study from Mexico) was
approximately zero in pregnant adolescent girls, but was positive and significant
in non‐pregnant adolescent girls matched on age and menarcheal age.4, 5 Our group
have shown that adolescence offers a window of opportunity for catch‐up growth in
response to early life stunting.12 Given our knowledge of the consequences of short
stature in adulthood for a wide array of human capital and health outcomes, including
increased all‐cause mortality,6 there is a clear need to understand the modifiable
nutritional factors that adversely affect linear growth in pregnant adolescent girls.
Between‐group differences in the study from Bangladesh remained significant after
adjustment for dietary intake (assessed by a food‐frequency questionnaire), but that
does not rule out inadequate nutritional supply as the limiting factor compromising
adolescent growth, as this simple adjustment doesn't account for the additional requirements
needed for pregnancy and lactation.
The two prominent adolescent pregnancy nutrient‐partitioning studies that have investigated
offspring outcomes were conducted in high‐income countries (HICs).13, 14 Both studies
compared differences in nutritional status and adverse birth outcomes between growing
adolescents and a non‐growing referent group, in whom the nutritional costs of growth
and thus any competition for nutrients were argued to be diminished. In the USA, the
Camden Study found lower birthweights and higher rates of preterm delivery in growing
(defined as a change in knee height of >1 mm over 6 months, from the second trimester
to 6 weeks postpartum) compared with non‐growing females aged 12–18 years; effect
sizes were greatest in younger girls, those of multiparous gravida, and those with
the lowest energy intakes.14 Conversely, the About Teenage Eating (ATE) study in the
UK found that growing (defined as a change in knee height of >2 mm over 90 days, from
13 to 29 weeks of gestation), mainly nulliparous adolescents aged 14–18 years actually
had more large‐for‐gestational age babies compared with their non‐growing peers.13
In both studies, nutrient intakes generally exceeded recommended values, and there
were no differences in macronutrient intakes (ATE study only) or energy intake between
the growing and non‐growing adolescent groups. Results for micronutrients were equivocal,
but did suggest that (compared with non‐growing adolescents) growing adolescents had
poorer nutritional status in the Camden Study (e.g. lower maternal and cord ferritin
and folate), but better nutritional status in the ATE study (e.g. higher maternal
folate and intakes of calcium, magnesium, phosphorus, iron, and riboflavin), which
might go some way towards explaining the observed differences in birth outcomes.
A recent publication of the Consortium of Health Orientated Research in Transitioning
Societies group found that adolescent pregnancy (ages ≤ 19 years), compared to young‐adulthood
pregnancy (ages 20–24 years), was associated with increased risk of stunting at age
2 years (OR 1.46) and higher adulthood fasting glucose concentrations in the offspring.15
Besides this publication, little is known about the long‐term health consequences
of adolescent pregnancy in LMICs, and what early‐life nutritional factors might offset
any risk.
Evidence from intervention studies
Six studies were identified that had supplemented the diet of pregnant adolescents
and measured growth and development‐related outcomes. Two of these studies involved
calcium supplementation,16, 17 one involved supplementation with calcium plus vitamin
D,18 two involved supplementation with zinc,19, 20 and one included four intervention
arms in females of childbearing age (i.e. including adults as well as adolescents),
with supplementation of: (1) folic acid; (2) folic acid and iron; (3) folic acid,
iron, and zinc; and (4) multiple micronutrients.21 Despite the differences in study
populations (Brazil, Chile, Nepal, and USA), sample sizes (ranging from 30 to 705
in an intervention arm), maternal ages at baseline (e.g. ages 15–17 years or ages
13.5–19.6 years), and timing of interventions (e.g. initiation at mean gestations
of 11 or 26 weeks), five out of the six studies provided some evidence of a positive
effect of intervention on estimated fetal weight and/or birthweight. The study of
Christian et al.21, for example, found that multiple prenatal micronutrient supplementation
in females of childbearing age increased birthweight by 64 g (95% confidence interval:
12–115 g), although the effect size in adolescent gravida alone was not reported.
Evidence of an effect on other offspring outcomes (e.g. preterm delivery and bone
mineral content) included in these six studies is less conclusive, as is evidence
of an effect on maternal and longer‐term health outcomes.22
We need a more robust evidence base
As is clear, the literature on the nutritionally mediated pathways underpinning the
links between young maternal age and poor intergenerational and long‐term health is
sparse. Existing publications have studied different age ranges, without equal distribution
of adolescents across those age ranges, which combined with other between‐study differences
(e.g. parity) has contributed to largely equivocal findings. Evidence of nutrient
partitioning is mostly limited to a few studies in HICs, where the nutritional requirements
of adolescence and pregnancy are likely to be met. Two studies in LMICs suggest that
adolescent girls stop growing in response to pregnancy,4, 5 but investigation at the
mechanistic level using biomarkers and body‐imaging technologies is missing from the
literature. Intervention studies have shown some promising results of increasing birthweight,
with effect sizes not dissimilar to those reported in prenatal supplementation studies
in adults.23 What we don't know is whether or not the SGA phenotype, and thus health
risks over the course of life, are the same regardless of maternal age. This would
require detailed phenotyping, including the assessment of neonatal body composition
and long‐term follow‐up.
To understand which (and how and when) components of nutrition increase risk for adverse
outcomes in the offspring of adolescent compared to young‐adulthood pregnancies, a
prospective observational study with a young‐adult reference group is required; recruitment
of equal numbers of females in each yearly age band between 13 and 26 years would
provide an adolescent group and a young‐adult group, and allow in‐depth investigation
of difference within these groups. Furthermore, to understand which components of
nutrition increase risk for adverse outcomes in the adolescents themselves (and how
and when), a non‐pregnant reference group matched on key variables (e.g. age, menarcheal
age, and parity) is also required. The females and their offspring would ideally be
followed‐up for long‐term health assessment and subsequent pregnancies. Such a study
would be best suited to LMICs where rates of adolescent pregnancy and their adverse
sequelae are high. Preferably, a multicentre programme of research across contrasting
environments (in the same country or in different countries) would be conducted in
order to understand how the nutritional epidemiology of adolescent pregnancy might
depend on context (e.g. the disease profile of the population being studied). This
will enable any subsequent nutritional intervention to be appropriately tailored.
Careful consideration of the context of adolescent pregnancy within each setting would
also be necessary to understand the role of socio‐economic position in influencing
both the probability of an adolescent becoming pregnant and (via nutrition and other
factors) the risk of adverse outcomes.24 For these reasons, a nutritional intervention
may best be implemented as part of a multifaceted programme, including nutritional
and sexual health education.
Although the WHO recommend pregnancy prevention as the primary solution for poor reproductive
outcomes of adolescent pregnancy, societal and cultural practices in many LMICs are
a barrier to changes in practice.25 Nutrition is widely recognised as a key target
for improving adolescent health, and the health of their offspring,26, 27 yet the
evidence base for developing an intervention targeting this large and accessible population
group who are preparing for pregnancy is limited. We call for a reinvigorated and
coordinated effort across multiple LMIC settings to understand the nutritional epidemiology
of adolescent pregnancy, and its sequelae, where the disease burden is greatest.
Disclosure of interests
None declared. Completed disclosure of interests form available to view online as
supporting information.
Contribution to authorship
WJ and SEM conceptualized the commentary, drafted and revised the article critically
for important intellectual content, approved the version to be published, and agree
to be accountable for all aspects of the work.
Details of ethics approval
Not applicable.
Funding
WJ and SEM are funded by the Medical Research Council (UK) programme: MC_UP_1005/1.
Supporting information
Click here for additional data file.
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