Hostname: page-component-848d4c4894-m9kch Total loading time: 0 Render date: 2024-06-10T05:20:27.728Z Has data issue: false hasContentIssue false

Maternal age at marriage and child nutritional status and development: evidence from Serbian Roma communities

Published online by Cambridge University Press:  09 March 2022

Jelena Čvorović*
Affiliation:
Institute of Ethnography, Serbian Academy of Sciences and Arts, Kneza Mihaila 36, Belgrade, Serbia
*
*Corresponding author: Email jelena.cvorovic@ei.sanu.ac.rs
Rights & Permissions [Opens in a new window]

Abstract

Objective:

This study aimed to assess whether maternal age at first marriage is associated with nutritional and developmental penalties in Roma children.

Design:

Roma nationally representative population-based study. Proxies for child nutritional outcomes included children’s individual-level height-for-age Z (HAZ) and weight-for-age Z (WAZ) scores, HAZ and WAZ scores below two standard deviations from the median of WHO’s reference population (children aged 0–59 months) and Early Child Development (ECD) (children aged 36–59 months). Multiple and logistic regressions were used to estimate the association between maternal age at marriage and the outcomes and other socio-demographic determinants as possible confounders.

Setting:

Aggregated data from UNICEF’s fifth and sixth Multiple Indicator Cluster Surveys for Serbian Roma settlements.

Participants:

Children (n 2652) aged 0–59 months born to ever-married women aged 15–48 years.

Results:

In total, 64 % of women married before age 18, 19 % of children were stunted, 9 % wasted and ECD score was low. Maternal age at first marriage was not associated with either nutritional status or early development of Roma children. Weight at birth (children aged 0–24 years) emerged as the main predictor of children’s nutritional status. Boys were more likely to be shorter, more stunted and wasted than girls. Child’s age, maternal parity and unimproved toilet facility negatively impacted nutritional status, while maternal literacy mitigated against poor nutritional and developmental outcomes.

Conclusions:

Roma children up to 5 years of age bear no negative consequences of maternal early marriage. The underlying determinants of children’s well-being include improved sanitation, child characteristics, maternal literacy and reproductive behavior and parental investment.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

Age at marriage, being one of the most important factors in population dynamics, impacts reproductive schedule, fertility, mortality and health outcomes of both women and children and has a strong effect on a range of socio-economic, demographic and public health features(Reference Marphatia, Amable and Reid1,Reference Rumble, Peterman and Irdiana2) . Girl child marriage (first marriage before 18 years of age) is a pervasive practice not only in several former British colonies but also parts of Eastern Europe(Reference Čvorović3Reference Raj, Saggurti and Winter5). Girl child marriage and subsequent reproduction may entail health risks for both mothers and children as there is an inherent biological risk associated with young maternal age and reproductive outcomes(Reference Wemakor, Garti and Azongo6Reference Čvorović10). Studies on the risks of early entry into marriage and its effects on motherhood and child health outcomes, including early development, have generated conflicting data as such risks have been shown to be mitigated by maternal, socio-economic and demographic confounding variables(Reference Rumble, Peterman and Irdiana2,Reference Yu, Mason and Crum11Reference Efevbera, Bhabha and Farmer16) . Cross-culturally the greatest risk is concentrated only in the youngest of mothers – generally those younger than 15 years, with the risk being lowest for first births(Reference Kramer and Lancaster17,Reference Neal, Channon and Chintsanya18) . Yet, despite the costs, there may also be fitness benefits associated with early reproduction, such as the advantage of longer reproductive periods and higher fertility(Reference Yaya, Odusina and Bishwajit19Reference Čvorović and Coe20). By contrast, however, the cost of delayed onset of reproduction is associated with fewer descendants, a shorter reproductive period, longer generation times, unfavourable child outcomes, greater risk of reproductive failure and a higher cumulative mortality risk(Reference Liu and Lummaa21Reference Londero, Rossetti and Pittini23).

The Roma, a diverse population of South Asian ancestry, make up the largest ethnic minority in Europe, experiencing severe social exclusion, poverty, welfare dependency and poorer health than the non-Roma(Reference Cook, Wayne and Valentine24). Roma cultural traditions have encouraged division into groups based on descent alone, obligatory virginity for girls prior to their early endogamous marriages and high fertility, and thus Roma girls often enter marriage and motherhood as teenagers(Reference Čvorović25). In Serbia, according to recent estimates, almost 40 % of Roma females gave birth to their first child before 18 years of age, 10 % became mothers before their 16th birthday and, among women between 15 and 49 years of age, 16 % had borne a first child before age 15(26). Compared with non-Roma, Roma children are often lagging in their developmental and nutritional status(27). Previous research on Roma children’s health has mostly focused on social determinants of health(Reference Stamenković, Djikanović and Laaser28Reference Čvorović30). In spite of the prevalence of child marriage and consequent early childbearing among Roma women, there is a lack of studies addressing the association between early marriage and the health outcomes of Roma children. To address this knowledge gap, the present study examined whether maternal early marriage might be associated with child nutritional and developmental penalties.

Data from the Multiple Indicator Cluster Survey rounds 5 and 6 (MICS 5 and 6) for Serbian Roma settlements were aggregated to assess the association between maternal age at marriage and child nutritional outcomes, as reflected in height-for-age Z (HAZ) score, stunting (HAZ –2 SD), weight-for-age Z (WAZ) score, wasting (WAZ –2 SD) and Early Child Development – a combined score of basic learning, socio-emotional, physical and literacy–numeracy skills.

Method and measures

Study sample

The present study was performed as a secondary data analysis of the MICS 5 and 6 for Serbian Roma settlements, a public use data sets, as conducted in Serbia in 2014 and 2019 and carried out by UNICEF (available at http://mics.unicef.org/surveys). The surveys provide estimates of child health indicators at the national level and separately for Roma communities. MICSs include both anthropometric and ECD data along with basic information on mothers, caregiving practices for young children and households. The surveys include questions on several domains of child development and parental engagement. Roma mothers provided information on their children’s age, gender, birth order, care and feeding practices and parental stimulating caregiving practices.

The sample included 2652 Roma children aged 0 to 59 months, born to ever-married women, aged between 15 and 48 years. Of the 2652 children, 13 % had missing data. The missing data were tested with MCAR test (Little’s Missing Completely at Random test), indicating missing at random (χ 2 (219) = 2989·98, P < 0·01), and estimated by separate multiple imputation regression models, including all other covariates as predictors. Statistical analyses were conducted in R (version 4.0.2, MICE version 3.11.0.).

Measures

Maternal age at first marriage, a key exposure variable, was self-reported by Roma mothers.

Outcome variables: child growth and development

Proxies of child nutritional outcomes included children’s individual-level HAZ and WAZ scores, and HAZ and WAZ scores below two standard deviations (–2 SD, as an indicator of stunting and wasting, respectively) from the median of WHO’s reference population. Deficits in height-for-age indicate long-term, cumulative insufficiencies of health or nutrition (stunting), while deficits in WAZ can indicate either acute or chronic inadequacies (wasting)(27).

Early Child Development for children aged 36–59 months assessed the physical, learning, literacy/numeracy and socio-emotional developmental domains(31). (UNICEF, 2019). A composite developmental score for Early Child Development was obtained by summation of the number of positive responses across the literacy-numeracy, social-emotional, learning and physical development domain items, with the total score ranging from 0 to 10 (UNICEF, 2015). The internal consistency of the Roma child development scale in this sample was α = 0·38, which was comparable with other recent studies using the same scale(Reference Urke, Contreras and Matanda32).

Covariates

To reduce the risk of confounding, additional variables accounting for maternal and child conditions were incorporated in the analyses. Maternal age at the time of the survey, maternal literacy skills and household access to improved toilet facility were used as proxies for socioeconomic status. Other maternal variables included age at first reproduction, parity, whether a mother ever had a child who later died (as a proxy for child mortality), current marriage status and parental stimulating caregiving practices (as a proxy for parental investment)(Reference Čvorović30). Parental investment refers to any expenditure in terms of parental time, energy and resources used that benefit children(Reference Clutton-Brock33). Parenting investment and practices are fundamental for child development and health outcomes, such as growth and nutrition(Reference Francesconi and Heckman34,Reference Frongillo, Kulkarni and Basnet35) .

Parental (mother and father) stimulating caregiving practices were mother-reported and refer to the types and number of activities a parent engaged in with a child within the past three days. Six activities: reading of books or looking at picture books; telling of stories to the child; counting or drawing with the child; singing songs/lullabies; taking the child outside the home into a yard or park; playing with the child are common proxies for quality parenting(Reference Yousafzai, Rasheed and Rizvi36,Reference Sun, Liu and Chen37) . The total score of activities ranged from 0 to 6 points; the number of activities was categorised as low engagement (0–2 activities), moderate engagement (3–4 activities) and high engagement (5–6 activities). The internal consistency of maternal and paternal practices in this sample was α = 0·74 and α = 0·81, respectively.

Child variables included age in months and gender, to account for variation between younger and older children, and boys and girls in growth and development, child’s birth order, and weight at birth and child wantedness (whether the child was wanted at the time of conception), for children aged 0–24 months.

Statistical analyses

Descriptive statistics were used to describe the socio-demographics of the Roma women and child anthropometric variables. Since very young age at marriage (and childbirth, i.e. <15 years) was more likely to be a risk factor for poor maternal and child outcomes(Reference Gibbs, Wendt and Peters14), the Roma mothers were divided into three groups based on age at first marriage: first married at 10–15, 16–17 and ≥18 years of age. These cut-off points were chosen based on the sample characteristics (i.e. the earliest age at first marriage was 10) and previous studies(Reference Efevbera, Bhabha and Farmer16,Reference Čvorović38) . Chi-square, ANOVA and Tukey HSD tests and effect size were used to assess the differences in demographic and child outcomes between Roma mothers in the different marriage groups.

The sample of Roma children was divided into younger children, aged 0–35 months, and older children, aged 36–59 months. In addition, separate analyses were conducted for children aged 0–24 months, to assess the impact of birth weight and child wantedness on the outcomes. There were thus 1033 children aged 0–24 months, 1577 children aged 0–35 and 1075 children aged 36–59 months.

To assess the relationship between maternal age at first marriage and Roma children’s individual-level HAZ and WAZ scores (for children aged 0–24, 0–35 and 36–59 months), and between age at first marriage and children’s early development (for children aged 36–59 months), several multiple linear regressions were conducted. In addition, to assess the association between age at first marriage and children’s stunting and wasting, separate logistic regressions were performed for children in the three age groups.

All regressions included a series of models: the first, unadjusted model explored the association of the exposure (age at first marriage) with each outcome. The second model controlled for biological and reproductive variables: maternal age, age at first reproduction, parity, child mortality, child’s age, gender, birth order and weight at birth and child wantedness, where available. The third model incorporated proxies for socio-economic status: maternal literacy and access to improved toilet facility. The fourth, a fully adjusted model, included home environment, such as maternal marriage status, and parental investment. Only full models are presented.

In the multiple regressions, the dependent variables, i.e. individual-level HAZ and WAZ and ECD scores were continuous, while in the logistic regressions HAZ and WAZ scores were dichotomous and coded as 0- <-2 SD and 1- >-2 SD. Maternal age, age at first marriage and first reproduction, child’s age, weight at birth and birth order were continuous variables, while marriage status (0-not in a union, 1-in a union), child wantedness (0-unwanted, 1-wanted), child gender (1-boys, 0-girls), child mortality (1-yes, 0- no), maternal literacy (0-illiterate, 1-literate), type of toilet facility (0-unimproved, 1-improved) were dichotomous. Parental stimulation was continuous in multiple and categorical (low, moderate and high engagement) in logistic regressions. All predictor variables were standardised prior to regressions, except categorical parental stimulation.

Results

The average age at first marriage for Roma mothers was 17 (range 10–37, Md = 17, IQR in between 15 and 19 years of age, Q1 = 15 and Q3 = 19, not shown), while age at first reproduction was 18 (range 12–38). About 35 % of mothers married between the ages of 10–15, 29 % married between 16–17 years of age, while 36 % percent married at ≥18. Thus, 64 % of Roma women married before age 18.

Table 1 summarises the demographics, children’s nutritional status and development and differences by mother’s age at first marriage (married at: 10–15, 16–17 and ≥18 years of age) for the Roma mothers and children.

Table 1 Demographics, children’s nutritional status and development and differences by mother’s age at first marriage (married at: 10–15, 16–17 and ≥18 years of age) for Roma mothers and children

* P = ≤ 0·05.

χ 2 test performed.

ANOVA performed.

Roma mothers were relatively young, with an average age of 25 (Md = 24, IQR in between 21 and 29 years of age, Q1 = 21 and Q3 = 29, not shown), with around 34 % being illiterate. At the time of the surveys, most women were living in a union. Around 17 % lived in household without access to improved sanitation (toilet facility). Parental investment was low, but higher for mothers. The average number of children was 3 (range 1–11), with an excess of males. The average age of the children was 30 months. For the children weighed at birth (0–24 months old), the average weight was 3 kg, with over 15 % being born with low birth weight (≤2·5 kg). About 19 % of children were stunted, 9 % wasted, and for children aged 36–59 months, the Early Child Development score was low (2 out of 7).

Roma mothers who married at ages 10–15 were the youngest (F1,1934·78 = 320·89, P < 0·01, moderate size effect, η 2 = 0·12; married at 10–15 (M = 23·51, sd = 5·49) v. ≥18 (M = 28·22, sd = 5. 53), P < 0·01; married at 10–15 (M = 23·51, sd = 5·49) v. 16–17 (M = 24·83, sd = 5·17), P < 0·01), while those married at ≥18 were the oldest in the sample (married at ≥18 (M = 28·22, sd = 5·53) v. 16–17 (M = 24·83, sd = 5·17), P < 0·01). Women who married at 10–15 had higher parity than women in the two other groups (F1,2963·07 = 39·49, P < 0·01, small size effect, η 2 = 0·02; married at 10–15 (M = 3·33, sd = 1·77) v. ≥18 (M = 2·83, sd = 1·59), P < 0·01, 10–15 (M = 3·33, sd = 1·77) v. 16–17 (M = 3·01, sd = 1·59), P < 0·01), while those married at ≥18 had the lowest parity (≥18 (M = 2·83, sd = 1·59) v. 16–17 (M = 3 01, sd = 1·59), P = 0·04). The 10–15 group of women had an earlier age at first reproduction when compared with the others (F1,1114·7 =2105·90, P < 0·01, large size effect, η 2 = 0·48; married at 10–15 (M = 15·82, sd = 1·82)) v. ≥18 (M = 21·27, sd = 3·03), P < 0·01, 10–15 (M = -15·82, sd = 1·82)) v. 16–17 (M = 17·87, sd = 2·04), P < 0·01), while those married at ≥18 reproduced at the latest age (≥18 (M = 21·27, sd = 3·03) v. 16–17 (M = 17·87, sd = 2·04), P = 0·04). Illiteracy was the highest among women married at 10–15 years of age (χ 2 (1, 2624·34) = 10·17, P < 0·01), they had less access to improved toilet facility (χ 2 (1, 7900·19) = 21·81, P < 0·01) and were least likely to be single (χ 2 (1, 7457·51) = 4·92, P = 0·03) compared with the others. Also, women who married at 10–15 and their partners provided less parental investment compared with women who married at ≥18 and their partners (F1,467·90 = 10·94, P < 0·01, small size effect, η 2 = 0·01, t (480·79) = 3·32, P < 0·01) and χ 2 (1, 4370·05) = 17·35, P < 0·01); (F1,4726·60 = 7·51, P = 0·01, small size effect, η 2 = 0·00, t (4657·55)= 7·73, P = 0·01 and χ 2 (1, 6001·16) = 10·06, P < 0·01, respectively).

Children born to mothers who married at ages 10–15 had higher birth order than children born to mothers who married at ≥18 and 16–17 years of age (F1,3689·74 = 27·62, P < 0·01, small size effect, η 2 = 0·01, 10–15 v. ≥18, P < 0·01, and 10–15 v. 16–17, P < 0·01), were shorter than children born to mothers who married at ≥18 (F1,1560·41 = 13·56, P < 0·01, small size effect, η 2 = 0·01, 10–15 v. ≥18, P < 0·01), who, in turn, had taller children than mothers married at 16–17 years of age (P < 0·01). Mothers who married at ages 10–15 had lighter children than mothers who married at ≥18, whose children were heavier than those born to mothers who married at 16–17 (F1,2213·56 = 11·28, P < 0·01, small size effect, η 2 = 0·01, P < 0·01 and P < 0·01, respectively).

Weight at birth, stunting, wasting and early development did not differ between the Roma children (P > 0·05).

Table 2 summarises the results of the multiple linear regressions to assess the relationship between maternal age at first marriage and Roma children’s individual-level HAZ scores, and logistic regressions to assess the relationship between maternal age at first marriage and Roma children’s stunting (−2 SD HAZ), per each age group (children aged 0–24, 0–35 and 36–59 months).

Table 2 Multiple linear regression analyses: associations of maternal age at first marriage and Roma children individual-level height-for-age Z (HAZ) scores and logistic regression analyses: associations of maternal age at first marriage and Roma children stunting (−2 SD HAZ)

* P = ≤ 0·05.

Individual-level height-for-age Z scores

For children aged 0–24 months, age and gender (male) were both negatively associated with height (β = -0·60; 95 % CI (−0·97, −0·24); P < 0·01; and β = -0·17; 95 % CI (−0·26, −0·08); P < 0·01, respectively), while there was a positive association with weight at birth (β = 0·38; 95 % CI (0·28, 0·47); P < 0·01). Thus, older Roma children lagged behind for 0·60 sd in regard to their age-reference group compared with younger children, Roma boys were on average shorter for 0·17 sd than Roma girls, while increase in weight at birth was accompanied by an increase of 0·38 sd in height.

For children aged 0–35 months, maternal age at marriage was significant and negatively associated with height in the first, unadjusted, model (β = −0·03; 95 % CI (−0·07, −0·001); P = 0·04): an increase in maternal age at first marriage for 1 sd was associated with a decrease in children’s height for 0·03 sd (not shown). After controlling for other maternal and child characteristics in the full model, this significance was lost. Instead, child’s age and gender were negatively associated with height, while maternal literacy was positively associated with height. Thus, an increase in child age was associated with a decrease in height for 0·42 sds (β = −0·42; 95 % CI (−0·61, −0·23); P < 0·01)), boys were on average shorter than girls for 0·10 sds (β = −0·10; 95 % CI (−0·17, −0·03); P = 0·01), while children born to literate mothers were on average taller for 0·09 sds than children of illiterate mothers (β = 0·09; 95 % CI (0·01, 0·17); P = 0·02).

For children aged 36–59 months, maternal age at marriage was statistically significant and negatively associated with children’s height only in the first model: increased maternal age at first marriage for 1 sd was associated with a decrease of children’s height for 0·02 sds (β = −0·02; 95 % CI (−0·05, −0·002); P = 0·03). Once other child and maternal variables were introduced, age at marriage became statistically insignificant. Instead, there was a negative association of child’s age and maternal parity and a positive association of maternal literacy and children’s height. Thus, an increase in child’s age was associated with a decrease in height for 0·31 sds (β = −0·31; 95 % CI (−0·50, −0·12); P < 0·01), an increase in maternal parity was associated with a decrease in height for 0·02 SDs (β = −0·20; 95 % CI (−0·39, −0·002); P = 0·04), while children born to literate mothers were, on average, taller for 0·14 sds compared with children born to illiterate mothers (β = 0·14; 95 % CI (0·07, 0·23); P < 0·01).

Stunting (−2 sd height-for-age Z)

For children aged 0–24 months, boys were more likely to be stunted than girls (OR = 0·70; 95 % CI (0·59, 0·84); P < 0·01), while children born heavier at birth were less likely to be stunted (OR = 1·64; 95 % CI (1·38, 1. 94); P < 0·01).

For children aged 0–35 months, there was a negative association of maternal age at first reproduction (OR = 0·67; 95 % CI (0·50, 0·89); P = 0·01), child age (OR = 0·69; 95 % CI (0·48, 0·98); P = 0·04) and gender (OR = 0·79; 95 % CI (0·69, 0·91); P < 0·01) with children’s stunting. Thus, for children born to mothers with later age at reproduction, boys and older children were more likely to be stunted than their counterparts.

For children aged 36–59 months, older children with literate mothers were less likely to be stunted (OR = 1·80; 95 % CI (1·18, 2·74); P = 0·01, and OR = 1·22; 95 % CI (1·03, 1·46); P = 0·02, respectively) than their counterparts.

Table 3 presents a summary of the multiple linear regressions assessing the relationship between maternal age at first marriage and Roma children’s individual-level-weight-for age Z (WAZ) (per each age group), and Early Child Developmental scores (for children aged 36–59 months), and the logistic regressions accounting for the relationship between maternal age at first marriage and Roma children’s wasting (per each age group).

Table 3 Multiple linear regression analyses: associations of maternal age at first marriage and Roma children individual individual-level-weight-for age Z (WAZ) and early child developmental scores, and logistic regression analyses: associations of maternal age at first marriage and Roma children wasting (−2 SD WAZ)

* P = ≤ 0·05.

Individual-level-weight-for age Z scores

For the youngest children (aged 0–24 months), gender (β = −0·09; 95 % CI (−0·16, −0·01); P = 0·02) and weight at birth (β = 0·33; 95 % CI (0·26, 0·41); P < 0·01) were associated with weight: thus boys were on average lighter for 0·09 sd than girls, while an increase in weight at birth was associated with an increase in weight of 0·33 sd.

For children aged 0–35 months, no variable influenced children WAZ (P > 0·05).

For children aged 36–59 months in the adjusted, full model, there was a positive association of maternal literacy (β = 0·10; 95 % CI (0·02, 0·18); P = 0·01) and the type of toilet facility (β = 0·12; 95 % CI (0·05, 0·19); P < 0·01) with weight: children with literate mothers were heavier for 0·10 sd than their counterparts, while children living in households with access to improved toilet facility were heavier for 0·12 sd than children using unimproved toilet.

Early child development for children aged 36–59 months

In the adjusted, full model, child’s age (β = 0·37; 95 % CI (0·16, 0·58); P < 0·01) and maternal investment (β = 0·06; 95 % CI (0·01, 0·12); P = 0·03) were positively associated with early development: increase in child age for 1 sd was associated with increase in developmental score of 0·37 sds, while increase in maternal investment for 1 sd was associated with increase in developmental score of 0·06 sds.

Wasting (−2 SD WAZ)

For children aged 0–24 months, boys were more likely to be wasted than girls (OR = 0·79; 95 % CI (0·63, 0·98); P = 0·04), while children with greater weight at birth were less likely to be wasted (OR = 2·01; 95 % CI (1·61, 2·51); P < 0·01).

For children aged 0–35 and 36–59 months, no variable influenced children wasting (P > 0·05).

Discussion

This study tested for possible associations between maternal age at first marriage, child nutritional status and early development among the Serbian Roma. The majority of Roma women were ‘child brides’, i.e. they were married before age 18. In spite of the maternal early age at marriage, Roma children bore no negative consequences in terms of worse nutritional outcomes or compromised development. After controlling for maternal and child factors, maternal age at first marriage was not associated with either the nutritional status or early development of Roma children. Nor was there such association present after comparing children among women from the different marriage groups as there were no differences in children’s weight at birth, stunting, wasting or development. These findings are in line with other studies where different maternal characteristics were found to account for children’s poor nutrition and development(Reference Čvorović10,Reference Geronimus, Korenman and Hillemeier12Reference Gibbs, Wendt and Peters14,Reference Mashal, Takano and Nakamura39) . Maternal age at marriage was statistically significant only in the unadjusted models for the HAZ scores for children aged 0–35 and 36–59 months. Unlike in other studies, these associations were negative, i.e. an increase in maternal age at first marriage was associated with a decrease in children’s height(Reference Efevbera, Bhabha and Farmer16,Reference Prakash, Singh and Pathak40Reference Delprato and Akyeampong41,Reference Wemakor, Garti and Azongo6) .

Among the Roma, as in many traditional societies, childbirth usually follows soon after marriage, with the estimated optimal maternal age for first reproduction at 18 years(Reference Hill and Hurtado8). In this sample, the observed mean age at first marriage was 17, while the mean age at first reproduction was at an optimum of 18 years. Previous studies on the Roma reproductive pattern found that Roma women start reproducing at the optimum age, continue having children in their most fertile years and cease reproduction relatively early, with later age at first reproduction being significantly associated with infant low birth weight(Reference Čvorović and Coe20,Reference Čvorović30) . The risks associated with later maternal age at first reproduction include changes in children’s quantity but also quality, suggesting a significant disadvantage of delayed age at first reproduction(Reference Liu and Lummaa21,Reference Laopaiboon, Lumbiganon and Intarut42Reference Carolan44) . Thus, the association of maternal age at marriage and children’s height most likely reflected the relationship between advanced maternal age and child outcomes(Reference Yaya, Oladimeji and Odusina45), in agreement with the finding in the present sample of a negative relationship between maternal age at first reproduction and stunting in children aged 0–35 months.

Birth weight has been found in many studies to be the most important predictor of stunting among children(Reference Aryastami, Shankar and Kusumawardani46Reference Manggala, Kenwa and Kenwa47). MICSs did not collect birth weight data for all children, but where available (for children aged 0–24 months) weight at birth emerged as the main predictor of children’s nutritional status, as it could explain the HAZ and WAZ scores, stunting and wasting. Weight at birth, therefore, has emerged as one of the key specific correlates of child growth in respect of both height and weight(Reference Aryastami, Shankar and Kusumawardani46,Reference Ntenda48) . Birth weight thus reflects maternal size, reproductive strategy and environmental limitations and may be the most important determinant of a child’s growth in early life(Reference Peck, Marks and Dibley49Reference Del Giudice, Gangestad, Kaplan and Buss51).

Child age is a further factor that was found to influence the children’s health: across all ages, older children were shorter, while for the younger group, more likely to be stunted than their counterparts. Many risk factors have been identified for growth faltering, such as maternal nutrition deficiency and infections, as well as biological factors as maternal height and fetal growth restrictions(Reference Roth, Krishna and Leung52Reference Danaei, Andrews and Sudfeld53). For Roma children, as for many other children living in low-income and middle-income countries, a decrease in mean HAZ with age may be due to a plunging shift of the entire HAZ distribution, suggesting that children across the HAZ range may experience slower growth compared with international norms(Reference Black, Victoria and Walker54). Roma children have a mean HAZ of less than 0 at birth (−0·95), and the results suggest a decrease in mean HAZ in the early stages and continuing throughout the early years of life. However, the opposite trend was demonstrated in children aged 36–59 months, where older children had lower odds of being stunted. In poor populations, later-born children are often disadvantaged relative to earlier-born in nutritional status, having higher morbidity and mortality(Reference Lawson and Mace55). Maternal depletion and childbearing patterns such as closed birth spacing and inadequate diet may cause poor maternal health and poor child outcomes, especially for the youngest children(Reference Winkvist, Rasmussen and Habicht56Reference Khan, Mustagir and Islam57). However, in poor environmental and high fertility settings such as for the Roma, all children may be at risk for growth owing to a discrepancy between family size and available resources(Reference Kramer, Veile and Otárola-Castillo58). Parity reflects a fundamental trade-off between number and size of offspring(Reference Walker, Gurven and Burger59,Reference Hagen, Hames and Craig60) , as shown in the present study by the negative association between maternal parity and children’s HAZ scores for the oldest group of Roma children, and in the lower HAZ and WAZ scores for children whose mothers married at ages 10–15, as they had greater parity compared with the others(Reference Islam, Alam and Tariquzaman61).

In some settings, undernutrition in children under 5 is more likely to affect boys than girls, as a combination of both biological and social mechanisms responsible for the differences(Reference Thurstans, Opondo and Seal62Reference Bork and Diallo64). Gender differences in nutritional status among the Roma children were noticeable with boys being shorter, likely more stunted, on average lighter than the girls and also more wasted (in children 0–24 and 0–35 months). These results suggest that Roma boys were more susceptible to nutritional inequalities than girls of the same age, likely implying a gender preference in favour of the girls(Reference Bereczkei and Dunbar65).

Numerous studies have shown that various indicators of socio-economic status are associated with a child’s nutritional status, e.g. maternal education and household wealth(Reference Stamenković, Djikanović and Laaser28,Reference Glewwe66,Reference Vollmer, Harttgen and Kupka67) . Roma children born to literate mothers and living in households with access to improved toilet facility were better nourished than their counterparts. Generally, Roma women spend very little time in formal schooling; in the present sample, over 30 % could neither read nor write. The costs of illiteracy and low education can be high, especially for females, as even a small increase in maternal education corresponds with a considerable decrease in child poor health outcomes(Reference Agarwal, Shah and Stone68,Reference Walker, Wachs and Grantham-McGregor69) . Poor water, sanitation and hygiene facilities may carry serious early-life health consequences, as environmental contamination may increase disease prevalence, reduce nutrient absorption and lead therefore to chronic undernutrition(Reference Wells, Briend and Boyd70).

For Roma children, as for many other disadvantaged children living in high-risk environments, parental investment might be an important factor buffering against weight faltering, wasting and poor developmental outcomes(Reference Nahar, Hamadani and Ahmed71Reference Walker, Wachs and Gardner73). Early development of Roma children was positively influenced by maternal investment; across various studies, activities with children such as reading, singing and playing are consistently associated positively with language, cognitive and socio-emotional development(Reference Frongillo, Kulkarni and Basnet35). As in other studies, overall parental investment was low but higher for mothers(Reference Čvorović30,Reference Jeong, McCoy and Yousafzai74) and lowest for children born to mothers who married at 10–15 years of age, indicating that the overall investment received may be reduced in households with numerous children.

Conclusion

The current study found no statistical evidence for an association between maternal age at first marriage and compromised child nutrition and development. Rather, the findings point towards other factors as the underlying essential determinants of child well-being among the Roma(Reference Vaivada, Akseer and Akseer75). Among Roma, in addition to socio-economic status, child characteristics, maternal reproductive behaviour and parental investment were also shown to affect their children’s nutritional and developmental outcomes. Roma reproductive behaviour and parenting practices are shaped predominantly by cultural factors, whereas early marriage and early childbearing are often co-incident(Reference Čvorović and Coe76). In Roma families, close and distant kin often serve as ‘helpers at the nest’, thus having supportive kin may not only be beneficial for reproductive success but also for children’s health(Reference Bereczkei and Dunbar65,Reference Sear and Mace77) .

The current study possessed a number of limitations: the study design was cross-sectional, thereby limiting causal inference. The MICS data sets provide a limited range of mostly self-reported variables, thus allowing for potential biases. Other potential confounders, such as mother’s height, health status, history of preterm births or low birth weights of older children and levels of kin support, were not collected. The data collected were only for surviving children; inclusion of child mortality data would have affected the results obtained(Reference Čvorović30). In light of these results, future research should focus upon investigating the many other factors that may possibly reveal associations between maternal age at marriage and children’s health and developmental outcomes.

Despite these limitations, the current study is the first to examine the association between maternal early marriage, child nutritional outcomes and early development using the Serbian Roma national data set, thus contributing to the literature on child outcomes in poor ethnic minority populations.

Acknowledgements

Acknowledgements: None. Financial support: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. Conflict of interest: There are no conflicts of interest. Authorship: None. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by the UNICEF.

References

Marphatia, AA, Amable, G & Reid, AM (2017) Women’s marriage age matters for public health: a review of the broader health and social implications in South Asia. Front Public Health 5, 269.CrossRefGoogle ScholarPubMed
Rumble, L, Peterman, A, Irdiana, N et al. (2018) An empirical exploration of female child marriage determinants in Indonesia. BMC Public Health 18, 113.CrossRefGoogle ScholarPubMed
Čvorović, J (2011) Juvenile marriages, child-brides and infant mortality among Serbian Gypsies. GEI SASA 59, 2744.Google Scholar
Amin, S, Asadullah, MN, Hossain, S et al. (2017) Eradicating child marriage in the Commonwealth: is investment in girls’ education sufficient? Round Table 106, 221223.CrossRefGoogle Scholar
Raj, A, Saggurti, N, Winter, M et al. (2010) The effect of maternal child marriage on morbidity and mortality of children under 5 in India: cross sectional study of a nationally representative sample. BMJ 340, b4258.CrossRefGoogle ScholarPubMed
Wemakor, A, Garti, H, Azongo, T et al. (2018) Young maternal age is a risk factor for child undernutrition in Tamale Metropolis, Ghana. BMC Res Notes 11, 15.CrossRefGoogle ScholarPubMed
Pirkle, CM, de Albuquerque Sousa, AC, Alvarado, B et al. (2014) Early maternal age at first birth is associated with chronic diseases and poor physical performance in older age: cross-sectional analysis from the international mobility in aging study. BMC Public Health 14, 293.CrossRefGoogle ScholarPubMed
Hill, K & Hurtado, AM (1996) Ache Life History: The Ecology and Demography of a Foraging People. New York: Aldine de Gruyter.Google Scholar
Allal, N, Sear, R, Prentice, AM et al. (2004) An evolutionary model of stature, age at first birth and reproductive success in Gambian women. Proc R Soc 271, 465470.CrossRefGoogle ScholarPubMed
Čvorović, J (2018) Influence of maternal height on children’s health status and mortality: a cross-sectional study in poor Roma communities in rural Serbia. HOMO 69, 357363.CrossRefGoogle ScholarPubMed
Yu, SH, Mason, J, Crum, J et al. (2016) Differential effects of young maternal age on child growth. Glob Health Action 9, 31171.CrossRefGoogle ScholarPubMed
Geronimus, AT, Korenman, S & Hillemeier, MM (1994) Does young maternal age adversely affect child development? Evidence from cousin comparisons in the United States. Popul Dev Rev 1, 585609.CrossRefGoogle Scholar
Workicho, A, Belachew, T, Argaw, A et al. (2019) Adolescent pregnancy and linear growth of infants: a birth cohort study in rural Ethiopia. Nutrition 18, 22.CrossRefGoogle ScholarPubMed
Gibbs, CM, Wendt, A, Peters, S et al. (2012) The impact of early age at first childbirth on maternal and infant health. Paediatr Perinat Epidemiol 26, 259284.CrossRefGoogle ScholarPubMed
Fall, CH, Sachdev, HS, Osmond, C et al. (2015) 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). Lancet Glob Health 3, e366e377.CrossRefGoogle Scholar
Efevbera, Y, Bhabha, J, Farmer, PE et al. (2017) Girl child marriage as a risk factor for early childhood development and stunting. Soc Sci Med 185, 91101.CrossRefGoogle ScholarPubMed
Kramer, KL & Lancaster, JB (2010) Teen motherhood in cross-cultural perspective. Ann Hum Biol 37, 613628.CrossRefGoogle ScholarPubMed
Neal, S, Channon, AA & Chintsanya, J (2018) The impact of young maternal age at birth on neonatal mortality: evidence from 45 low and middle income countries. PLoS ONE 13, e0195731.CrossRefGoogle ScholarPubMed
Yaya, S, Odusina, EK & Bishwajit, G (2019) Prevalence of child marriage and its impact on fertility outcomes in 34 sub-Saharan African countries. BMC Int Health Hum Rights 19, 1.CrossRefGoogle ScholarPubMed
Čvorović, J & Coe, K (2017) Reproductive investment and health costs in Roma women. IJERPH 14, 1337.CrossRefGoogle ScholarPubMed
Liu, J & Lummaa, V (2011) Age at first reproduction and probability of reproductive failure in women. Evol Hum Behav 32, 433443.CrossRefGoogle Scholar
Kean, N, Turner, J, Flatley, C et al. (2020) Maternal age potentiates the impact of operative birth on serious neonatal outcomes. J Matern Fetal Neonatal Med 33, 598605.CrossRefGoogle ScholarPubMed
Londero, AP, Rossetti, E, Pittini, C et al. (2019) Maternal age and the risk of adverse pregnancy outcomes: a retrospective cohort study. BMC Pregnancy Childbirth 19, 261.CrossRefGoogle ScholarPubMed
Cook, B, Wayne, GF, Valentine, A et al. (2013) Revisiting the evidence on health and health care disparities among the Roma: a systematic review 2003–2012. Int J Public Health 58, 885911.CrossRefGoogle ScholarPubMed
Čvorović, J (2014) The Roma: A Balkan Underclass. London: Ulster Institute for Social Research.Google Scholar
UNICEF (2020) Srbija—Istraživanje Višestrukih Pokazatelja (MICS Serbia) (Serbia – Multiple Indicator Cluster Survey). Beograd: UNICEF.Google Scholar
UNICEF (2015) Early Childhood Development. The analysis of Multiple Indicator Cluster Survey Data. Beograd: UNICEF.Google Scholar
Stamenković, Z, Djikanović, B, Laaser, U et al. (2016) The role of mother’s education in the nutritional status of children in Serbia. Public Health Nutr 19, 27342742.CrossRefGoogle ScholarPubMed
Stanković, S, Živić, S, Ignjatović, A et al. (2016) Comparison of weight and length at birth of non-Roma and Roma newborn in Serbia. Int J Public Health 61, 6973.CrossRefGoogle ScholarPubMed
Čvorović, J (2020) Child wantedness and low weight at birth: differential parental investment among Roma. Behav Sci 10, 102.CrossRefGoogle ScholarPubMed
UNICEF (2019) The Formative Years: UNICEF’s Work on Measuring Early Childhood Development. https://data.unicef.org/resources/the-formative-years-unicefs-work-on-measuring-ecd/ (accessed March 2021).Google Scholar
Urke, HB, Contreras, M & Matanda, DJ (2018) The influence of maternal and household resources, and parental psychosocial child stimulation on early childhood development: a cross-sectional study of children 36–59 months in Honduras. IJERPH 15, 926.CrossRefGoogle Scholar
Clutton-Brock, TH (1991) The Evolution of Parental Care. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
Francesconi, M & Heckman, JJ (2016) Child development and parental investment: introduction. Econ J 126, F1F27.CrossRefGoogle Scholar
Frongillo, EA, Kulkarni, S, Basnet, S et al. (2017) Family care behaviors and early childhood development in low-and middle-income countries. J Child Fam Stud 26, 30363044.CrossRefGoogle Scholar
Yousafzai, AK, Rasheed, MA, Rizvi, A et al. (2014) Effect of integrated responsive stimulation and nutrition interventions in the lady health worker programme in Pakistan on child development, growth, and health outcomes: a cluster-randomised factorial effectiveness trial. The Lancet 384, 12821293.CrossRefGoogle ScholarPubMed
Sun, J, Liu, Y, Chen, EE et al. (2016) Factors related to parents’ engagement in cognitive and socio-emotional caregiving in developing countries: results from multiple indicator cluster survey 3. Early Child Res Q 36, 2131.CrossRefGoogle Scholar
Čvorović, J (2019) Self-rated health and teenage pregnancies in Roma women: increasing height is associated with better health outcomes. J Biosoc Sci 51, 444456.CrossRefGoogle ScholarPubMed
Mashal, T, Takano, T, Nakamura, K et al. (2008) Factors associated with the health and nutritional status of children under 5 years of age in Afghanistan: family behaviour related to women and past experience of war-related hardships. BMC Public Health 8, 13.CrossRefGoogle ScholarPubMed
Prakash, R, Singh, A, Pathak, PK et al. (2011) Early marriage, poor reproductive health status of mother and child well-being in India. Sex Reprod Health 37, 136145.Google ScholarPubMed
Delprato, M & Akyeampong, K (2017) The effect of early marriage timing on women’s and children’s health in Sub-Saharan Africa and Southwest Asia. Ann Glob Health 83, 557567.CrossRefGoogle ScholarPubMed
Laopaiboon, M, Lumbiganon, P, Intarut, N et al. (2014) Advanced maternal age and pregnancy outcomes: a multicountry assessment. BJOG 121, 4956.CrossRefGoogle ScholarPubMed
Delpisheh, A, Brabin, L, Attia, E et al. (2008) Pregnancy late in life: a hospital-based study of birth outcomes. J Womens Health 17, 965970.CrossRefGoogle ScholarPubMed
Carolan, M (2013) Maternal age ≥ 45 years and maternal and perinatal outcomes: a review of the evidence. Midwifery 29, 479489.CrossRefGoogle Scholar
Yaya, S, Oladimeji, O, Odusina, EK et al. (2020) Household structure, maternal characteristics and children’s stunting in sub-Saharan Africa: evidence from 35 countries. Int Health, ihz105.CrossRefGoogle ScholarPubMed
Aryastami, NK, Shankar, A, Kusumawardani, N et al. (2017) Low birth weight was the most dominant predictor associated with stunting among children aged 12–23 months in Indonesia. BMC Nutr 3, 16.CrossRefGoogle Scholar
Manggala, AK, Kenwa, KWM, Kenwa, MML et al. (2018) Risk factors of stunting in children aged 24–59 months. Paediatr Indones 58, 205212.CrossRefGoogle Scholar
Ntenda, PAM (2019) Association of low birth weight with undernutrition in preschool-aged children in Malawi. Nutr J 18, 51.CrossRefGoogle ScholarPubMed
Peck, RE, Marks, JS, Dibley, MJ et al. (1987) Birth weight and subsequent growth among Navajo children. Public Health Rep 102, 500.Google ScholarPubMed
Arifeen, SE, Black, RE, Caulfield, LE et al. (2000) Infant growth patterns in the slums of Dhaka in relation to birth weight, intrauterine growth retardation, and prematurity. Am J Clin Nutr 72, 1010N1017N.CrossRefGoogle ScholarPubMed
Del Giudice, M, Gangestad, SW & Kaplan, HS (2015) Life history theory and evolutionary psychology. In The Handbook of Evolutionary Psychology, pp. 88114 [Buss, DM editor]. Hoboken, NJ: Wiley.Google Scholar
Roth, DE, Krishna, A, Leung, M et al. (2017) Early childhood linear growth faltering in low-income and middle-income countries as a whole-population condition: analysis of 179 demographic and health surveys from 64 countries (1993–2015). Lancet Glob Health 5, e1249e1257.CrossRefGoogle Scholar
Danaei, G, Andrews, KG, Sudfeld, CR et al. (2016) Risk factors for childhood stunting in 137 developing countries: a comparative risk assessment analysis at global, regional, and country levels. PLoS Med 13, e1002164.CrossRefGoogle ScholarPubMed
Black, RE, Victoria, CG, Walker, SP et al. (2013) Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet 382, 427451.CrossRefGoogle ScholarPubMed
Lawson, DW & Mace, R (2009) Trade-offs in modern parenting: a longitudinal study of sibling competition for parental care. Evol Hum Behav 30, 170183.CrossRefGoogle Scholar
Winkvist, A, Rasmussen, KM & Habicht, JP (1992) A new definition of maternal depletion syndrome. Am J Public Health 82, 691694.CrossRefGoogle ScholarPubMed
Khan, MMA, Mustagir, MG, Islam, MR et al. (2020) Exploring the association between adverse maternal circumstances and low birth weight in neonates: a nationwide population-based study in Bangladesh. BMJ Open 10, e036162.CrossRefGoogle ScholarPubMed
Kramer, KL, Veile, A & Otárola-Castillo, E (2016) Sibling competition & growth tradeoffs. Biological v. statistical significance. PLoS ONE 11, e0150126.CrossRefGoogle Scholar
Walker, RS, Gurven, M, Burger, O et al. (2008) The trade-off between number and size of offspring in humans and other primates. Proc R Soc 275, 827834.Google ScholarPubMed
Hagen, EH, Hames, RB, Craig, NM et al. (2001) Parental investment and child health in a Yanomamö village suffering short-term food stress. J Biosoc Sci 33, 503528.CrossRefGoogle Scholar
Islam, MM, Alam, M, Tariquzaman, M et al. (2013) Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized Poisson regression model. BMC Public Health 13, 18.CrossRefGoogle ScholarPubMed
Thurstans, S, Opondo, C, Seal, A et al (2020) Boys are more likely to be undernourished than girls: a systematic review and meta-analysis of sex differences in undernutrition. BMJ Glob Health 5, e004030.CrossRefGoogle ScholarPubMed
Wells, JC (2000) Natural selection and sex differences in morbidity and mortality in early life. J Theor Biol 202, 6576.CrossRefGoogle ScholarPubMed
Bork, KA & Diallo, A (2017) Boys are more stunted than girls from early infancy to 3 years of age in rural Senegal. J Nutr 147, 940947.CrossRefGoogle ScholarPubMed
Bereczkei, T & Dunbar, RI (2002) Helping-at-the-nest and sex-biased parental investment in a Hungarian Gypsy population. Curr Anthropol 43, 804809.CrossRefGoogle Scholar
Glewwe, P (1999) Why does mother’s schooling raise child health in developing countries? Evidence from Morocco. J Hum Resour 1, 124159.CrossRefGoogle Scholar
Vollmer, S, Harttgen, K, Kupka, R et al. (2017) Levels and trends of childhood undernutrition by wealth and education according to a composite index of anthropometric failure: evidence from 146 demographic and health surveys from 39 countries. BMJ Glob Health 2, e000206.CrossRefGoogle ScholarPubMed
Agarwal, N, Shah, K, Stone, JG et al. (2015) Educational resources “over the head” of neurosurgical patients: the economic impact of inadequate health literacy. World Neurosur 84, 12231226.CrossRefGoogle ScholarPubMed
Walker, SP, Wachs, TD, Grantham-McGregor, S et al. (2011) Inequality in early childhood: risk and protective factors for early child development. The Lancet 378, 13251338.CrossRefGoogle ScholarPubMed
Wells, JC, Briend, A, Boyd, EM et al. (2019) Beyond wasted and stunted—a major shift to fight child undernutrition. Lancet Child Adolesc Health 3, 831834.CrossRefGoogle ScholarPubMed
Nahar, B, Hamadani, J, Ahmed, T et al. (2009) Effects of psychosocial stimulation on growth and development of severely malnourished children in a nutrition unit in Bangladesh. Eur J Clin Nutr 63, 725731.CrossRefGoogle Scholar
Nahar, B, Hossain, MI, Hamadani, JD et al. (2012) Effects of a community-based approach of food and psychosocial stimulation on growth and development of severely malnourished children in Bangladesh: a randomised trial. Eur J Clin Nutr 66, 701709.CrossRefGoogle ScholarPubMed
Walker, S, Wachs, T, Gardner, J et al. (2007) Child development: risk factors for adverse outcomes in developing countries. Lancet 369, 145157.CrossRefGoogle ScholarPubMed
Jeong, J, McCoy, DC, Yousafzai, AK et al. (2016) Paternal stimulation and early child development in low-and middle-income countries. Pediatrics 138, e20161357.CrossRefGoogle ScholarPubMed
Vaivada, T Akseer, N, Akseer, S et al. (2020) Stunting in childhood: an overview of global burden, trends, determinants, and drivers of decline. Am J Clin Nutr 112, Suppl. 2, 777S791S.CrossRefGoogle ScholarPubMed
Čvorović, J & Coe, K (2019) Happy marriages are all alike: marriage and self-rated health among Serbian Romа. GEI SASA 67, 341359.Google Scholar
Sear, R & Mace, R (2008) Who keeps children alive? A review of the effects of kin on child survival. Evol Hum Behav 29, 18.CrossRefGoogle Scholar
Figure 0

Table 1 Demographics, children’s nutritional status and development and differences by mother’s age at first marriage (married at: 10–15, 16–17 and ≥18 years of age) for Roma mothers and children

Figure 1

Table 2 Multiple linear regression analyses: associations of maternal age at first marriage and Roma children individual-level height-for-age Z (HAZ) scores and logistic regression analyses: associations of maternal age at first marriage and Roma children stunting (−2 SD HAZ)

Figure 2

Table 3 Multiple linear regression analyses: associations of maternal age at first marriage and Roma children individual individual-level-weight-for age Z (WAZ) and early child developmental scores, and logistic regression analyses: associations of maternal age at first marriage and Roma children wasting (−2 SD WAZ)