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      Adolescent pregnancy, nutrition, and health outcomes in low‐ and middle‐income countries: what we know and what we don't know

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          Abstract

          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.   Click here for additional data file.

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          Most cited references14

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          Maternal and child undernutrition and overweight in low-income and middle-income countries

          The Lancet, 382(9890), 427-451
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            Association between maternal age at childbirth and child and adult outcomes in the offspring: a prospective study in five low-income and middle-income countries (COHORTS collaboration).

            Both young and advanced maternal age is associated with adverse birth and child outcomes. Few studies have examined these associations in low-income and middle-income countries (LMICs) and none have studied adult outcomes in the offspring. We aimed to examine both child and adult outcomes in five LMICs.
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              The associations of parity and maternal age with small-for-gestational-age, preterm, and neonatal and infant mortality: a meta-analysis

              Background Previous studies have reported on adverse neonatal outcomes associated with parity and maternal age. Many of these studies have relied on cross-sectional data, from which drawing causal inference is complex. We explore the associations between parity/maternal age and adverse neonatal outcomes using data from cohort studies conducted in low- and middle-income countries (LMIC). Methods Data from 14 cohort studies were included. Parity (nulliparous, parity 1-2, parity ≥3) and maternal age (<18 years, 18-<35 years, ≥35 years) categories were matched with each other to create exposure categories, with those who are parity 1-2 and age 18-<35 years as the reference. Outcomes included small-for-gestational-age (SGA), preterm, neonatal and infant mortality. Adjusted odds ratios (aOR) were calculated per study and meta-analyzed. Results Nulliparous, age <18 year women, compared with women who were parity 1-2 and age 18-<35 years had the highest odds of SGA (pooled adjusted OR: 1.80), preterm (pooled aOR: 1.52), neonatal mortality (pooled aOR: 2.07), and infant mortality (pooled aOR: 1.49). Increased odds were also noted for SGA and neonatal mortality for nulliparous/age 18-<35 years, preterm, neonatal, and infant mortality for parity ≥3/age 18-<35 years, and preterm and neonatal mortality for parity ≥3/≥35 years. Conclusions Nulliparous women <18 years of age have the highest odds of adverse neonatal outcomes. Family planning has traditionally been the least successful in addressing young age as a risk factor; a renewed focus must be placed on finding effective interventions that delay age at first birth. Higher odds of adverse outcomes are also seen among parity ≥3 / age ≥35 mothers, suggesting that reproductive health interventions need to address the entirety of a woman’s reproductive period. Funding Funding was provided by the Bill & Melinda Gates Foundation (810-2054) by a grant to the US Fund for UNICEF to support the activities of the Child Health Epidemiology Reference Group.
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                Author and article information

                Journal
                BJOG
                BJOG
                10.1111/(ISSN)1471-0528
                BJO
                Bjog
                John Wiley and Sons Inc. (Hoboken )
                1470-0328
                1471-0528
                02 December 2015
                September 2016
                : 123
                : 10 ( doiID: 10.1111/bjo.2016.123.issue-10 )
                : 1589-1592
                Affiliations
                [ 1 ] Elsie Widdowson LaboratoryMedical Research Council (MRC) Human Nutrition Research CambridgeUK
                Author notes
                [*] [* ] Correspondence: Dr W Johnson, Medical Research Council (MRC) Human Nutrition Research, Elsie Widdowson Laboratory, 120 Fulbourn Road, Cambridge CB1 9NL, UK. Email william.johnson@ 123456mrc-hnr.cam.ac.uk
                Article
                BJO13782
                10.1111/1471-0528.13782
                4996336
                26629786
                15b23a09-f404-418c-920a-21ae76c11015
                © 2015 The Authors. BJOG An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd on behalf of Royal College of Obstetricians and Gynaecologists.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 October 2015
                Page count
                Pages: 4
                Funding
                Funded by: Medical Research Council (UK) programme
                Award ID: MC_UP_1005/1
                Categories
                Commentary
                Commentaries
                Custom metadata
                2.0
                bjo13782
                September 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:4.9.4 mode:remove_FC converted:24.08.2016

                Obstetrics & Gynecology
                Obstetrics & Gynecology

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