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. 2018 Dec 10;11:877. doi: 10.1186/s13104-018-3980-7

Young maternal age is a risk factor for child undernutrition in Tamale Metropolis, Ghana

Anthony Wemakor 1,, Humphrey Garti 1, Thomas Azongo 2, Helene Garti 1, Ambrose Atosona 1
PMCID: PMC6288872  PMID: 30526641

Abstract

Objective

Malnutrition is a common cause of morbidity and mortality in children. The aim of this study was to compare the nutritional status of children under 5 years of teenage and adult mothers in Tamale Metropolis, Ghana. A case–control study involving 300 (150 cases, 150 controls) mother–child pairs was carried out. A questionnaire was used to collect data on socio-demographic characteristics of mothers and children and anthropometry was used to assess the nutritional status of children. Anthropometric z-scores derived based on WHO Child Growth Standards were used to determine stunting, wasting and underweight statuses of children. Logistic regression analysis was used to compare the nutritional status of children of teenage and adult mothers.

Results

Children of teenage mothers, compared to those of adult mothers, were 8 times more likely to be stunted [Adjusted Odds Ratio (AOR) = 7.56; 95% confidence interval (CI) 4.20–13.63], 3 times more likely to be wasted (AOR = 2.90; 95% CI 1.04–8.04), and 13 times more likely to be underweight (AOR = 12.78; 95% CI 4.69–34.81) after adjusting for potential confounders. The risk of child malnutrition increases with young maternal age; interventions should be targeted at teenage mothers and their children to reduce the risk of malnutrition.

Electronic supplementary material

The online version of this article (10.1186/s13104-018-3980-7) contains supplementary material, which is available to authorized users.

Keywords: Teenage mother, Stunting, Wasting, Underweight, Undernutrition, Tamale Metropolis, Ghana

Introduction

Adequate nutrition is one of the essential determinants of the health of children, and the right to adequate food is one of the fundamental human rights enshrined in many international agreements. Malnutrition is the most common nutritional disorder in developing countries [1, 2]. Globally, 22.9% of children under 5 years are stunted and 7.7% are wasted [3]. In Northern Region of Ghana, 33.1%, 6.3% and 20.0% of children under five are stunted, wasted and underweight respectively [4]. Malnutrition affects physical growth, morbidity, mortality, cognitive development, reproduction and physical capacity [2, 5]. About half of all deaths in children under five (about 3 million deaths) worldwide are caused by malnutrition [6].

About 11% of all births worldwide are to girls aged 15–19 years old and the vast majority of these (95%) occur in low and middle-income countries where child marriage is widespread [7]. In Ghana, 11.3% of females aged 15–19 years have had a birth, while 2.9% were pregnant at the time of interview [4]. Young maternal age at childbirth (< 20 years) is associated with increased risk of intrauterine growth restriction [8], low birth weight, preterm birth [9], infant mortality [10, 11] and poor child growth [12]. For example, in low and middle-income countries, babies born to mothers under 20 years of age have a 50% higher risk of being stillborn or dying in the first few weeks versus those born to mothers aged 20–29 years [7]. It is suggested that these associations result from interactions of biological, behavioural, and social factors. The nutritional needs of pregnant teenagers may compete with those of the developing foetus [13, 14] because they are still growing resulting in increased nutritional demands compared to adult pregnant women. Teenage mothers may breastfeed for a shorter duration than older mothers [15], be behaviourally immature and therefore less sensitive to the needs of their infants, and may easily get annoyed and use less emotionally positive communication compared to adult mothers [10]. In addition, younger mothers tend to have less education, and to be of lower socio-economic status and so have a higher chance of experiencing psychological stress resulting from limited resources [10] and parenting.

Despite the high prevalence of teenage childbearing in Ghana, data are scanty on the effects of low maternal age on growth indicators of Ghanaian children. The aim of this study was to assess the effect of low maternal age on child growth indicators by comparing the nutritional status of children under five of teenage and adult mothers in Tamale Metropolis, Ghana.

Main text

Methods

Study design, study population and sampling

A case–control study involving 300 children aged 6–59 months born to teenage (n = 150) and adult (n = 150) mothers in Tamale Metropolis, Ghana, was carried out from April to June, 2017. Teenage mothers (aged 15–19 years) and their children constituted cases while adult mothers (aged ≥ 20 years) and their children constituted controls. Subjects were recruited from four communities selected as a result of reports of high prevalence of teenage childbearing in the Metropolis: Kakpayili, Bulpiela, Kalariga and Kunyevilla.

The sample size of 300 (150 each for cases and controls) children was calculated using the formula of difference in proportions [16], 80% power, 95% confidence level, prevalence of stunting in control children, 33.1% [4] and determination of at least an odds ratio of 2. Simple random sampling was used to recruit both cases and controls.

Data collection

Pretested semi-structured questionnaire was used to collect data on socio-demographic characteristics of mothers and children and anthropometry was conducted on children. The weight of children was taken with a digital weighing scale with a least count of 0.1 kg and height was measured using an infantometer to the nearest 0.1 cm. Children who were 24 months and above were measured in the standing position and those who were less than 24 months were measured lying down. Anthropometric data were used to generate weight-for-height Z-score (WHZ), height-for-age Z-score (HAZ), and weight-for-age Z-score (WAZ) using WHO Anthro. HAZ, WHZ and WAZ < − 2 standard deviations from the median of the WHO Growth Standards were defined as stunting, wasting, and underweight respectively.

Statistical analysis

Data were analyzed using Stata IC (Version 12.1) and WHO Anthro. Means and standard deviations were calculated for continuous variables and frequencies and percentages for categorical variables. Chi-square test was employed in the bivariate analyses and variables that were significant in these analyses were considered as potential confounders in multivariate logistic regression analysis. Declaration of significance was done at p < 0.05.

Ethical considerations

Ethical clearance for this study was granted by the Joint Ethical Review Committee of the School of Medicine and Health Sciences and School of Allied Health Sciences, University for Development Studies (Protocol Number 02-2017). Written informed consent was sought from all study participants, and from the parents of 4 girls who were aged 15 years. All participants were assured of confidentiality of collected data.

Results

Socio-demographic characteristics

The mean age of the mothers was 23.6 years and most (35.7%) were in the age group 18–19 years (Table 1). The majority of the mothers belonged to Dagomba ethnic group (76.3%), and had the fathers of children being household heads (77.7%), but about half of the household heads (51.3%) earned 500.00–999.00 Ghana Cedis (equivalent to approximately 100.00–199.00 United States Dollars at the time of going to press) monthly. The children were roughly evenly distributed by age and sex but the majority (72.0%) were born in health facilities.

Table 1.

Socio-demographic characteristics of study subjects

Characteristic Frequency (n = 300) Percent
Age group of mother (years)
 15–17 43 14.3
 18–19 107 35.7
 20–24 33 11.0
 25–29 55 18.3
 30–34 27 9.0
 35 + 35 11.7
Ethnicity of mother
 Dagomba 229 76.3
 Gonja 47 15.7
 Asante 9 3.0
 Frafra 9 3.0
 Others 6 2.0
Household head
 Mother 15 5.0
 Father 233 77.7
 Grand Parent 42 14.0
 Others 10 3.3
Household head’s employment
 Unemployed 13 4.3
 Farmer 53 17.7
 Trader 89 29.7
 Teacher 54 18.0
 Nurse 8 2.7
 Others 83 27.7
Household head’s monthly income (GHS)
 < 500.00 101 33.7
 500.00–999.00 154 51.3
 1000.00–1300.00 36 12.0
 > 1300.00 9 3.0
Age group of child (months)
 6–11 107 35.7
 12–23 99 33.0
 24 + 94 31.3
Sex of child
 Male 147 49.0
 Female 153 51.0
Birth place of child
 Health Facility 216 72.0
 Traditional Birth Attendant 76 25.3
 Home 8 2.7

Nutritional status of children

The average weight, height and anthropometric z-scores of children of teenage mothers were lower than those of children of adult mothers (Table 2). Overall, 39.0%, 8.0% and 16.3% of the children were stunted, wasted and underweight respectively. However, consistently, the prevalence of undernutrition was higher in children of adolescent mothers compared to children of adult mothers i.e., 59.3% versus 16.7% for stunting, 12.0% versus 4.0% for wasting, 29.3% versus 3.3% for underweight (Table 2).

Table 2.

Mean anthropometric z-scores and prevalence of stunting, wasting and underweight, by mothers’ age group

Characteristic All mothers (n = 300) Teenage mothers (n = 150) Adult mothers (n = 150)
Anthropometrics
 Weight (kg) 9.84 ± 2.59 8.44 ± 1.71 11.24 ± 2.56
 Height (cm) 77.39 ± 11.84 71.39 ± 8.81 83.39 ± 11.46
Anthropometric z-scores
 Height-for-age (Mean ± SD) − 1.62 ± 2.05 − 2.18 ± 2.28 − 1.07 ± 1.61
 Weight-for-height (Mean ± SD) − 0.08 ± 1.54 − 0.07 ± 1.24 − 0.08 ± 1.40
 Weight-for-age (Mean ± SD) − 1.34 ± 1.15 − 0.63 ± 0.82 − 0.99 ± 1.06
Nutritional status
 Stunting
  No (%) 185 (61.0) 61 (40.7) 125 (83.3)
  Yes (%) 115 (39.0) 89 (59.3) 25 (16.7)
 Wasting
  No (%) 276 (92.0) 132 (88.0) 144 (96.0)
  Yes (%) 24 (8.0) 18 (12.0) 6 (4.0)
 Underweight
  No (%) 251 (83.7) 106 (70.7) 145 (96.7)
  Yes (%) 49 (16.3) 44 (29.3) 5 (3.3)

Association between maternal age and child nutritional status

In order to identify potential confounders to control for in the assessment of the effect of maternal age on child growth indicators, we compared the socio-demographic and economic characteristics for the two categories of mothers. This revealed statistically significant differences for type of household head (p < 0.001), occupation of household head (p = 0.025), household head’s monthly income (p = 0.001), and child’s age (p < 0.001) (Additional file 1). We therefore controlled for child’s age, type of household head and household head’s occupation in the adjusted logistic regression model. Children of teenage mothers, compared to those of adult mothers, were about 8 times more likely to be stunted [Adjusted Odds Ratio (AOR) = 7.56; 95% confidence interval (CI) 4.20–13.63)], about 3 times more likely to be wasted (AOR = 2.90; 95% CI 1.04–8.04), and about 13 times more likely to be underweight (AOR = 12.78; 95% CI 4.69–34.81) after adjustment for potential confounders (Table 3).

Table 3.

Multivariate analysis comparing the nutritional status of children of teenage and adult mothers

Characteristics Unadjusted Model Adjusted Modela
Crude Odds Ratio (95% confidence interval) p-value Adjusted Odds Ratio (95% confidence interval) p-value
Stunting
Children of adult mothers Reference Reference
Children of teenage mothers aged 15–17 years 9.33 (4.36–19.96) < 0.001 9.97 (4.20–23.65) < 0.001
Children of teenage mothers aged 18–19 years 6.89 (3.87–12.25) < 0.001 7.08 (3.85–13.00) < 0.001
All children of teenage mothers 7.50 (4.37–12.86) < 0.001 7.56 (4.20–13.63) < 0.001
Wasting
Children of adult mothers Reference Reference
Children of teenage mothers aged 15–17 years 3.16 (0.91–10.91) 0.069 2.48 (0.62–9.90) 0.198
Children of teenage mothers aged 18–19 years 3.32 (1.22–9.04) 0.019 3.01 (1.06–8.55) 0.038
All children of teenage mothers 3.27 (1.26–8.49) 0.015 2.90 (1.04–8.04) 0.041
Underweight
Children of adult mothers Reference Reference
Children of teenage mothers aged 15–17 years 17.19 (5.81–50.86) < 0.001 19.80 (5.97–65.73) < 0.001
Children of teenage mothers aged 18–19 years 10.28 (3.82–27.67) < 0.001 11.49 (4.14–31.87) < 0.001
All children of teenage mothers 12.04 (4.62–31.39) < 0.001 12.78 (4.69–34.81) < 0.001

aModel adjusted for child age, type of household head and household head’s occupation

Discussion

We found increased risk of stunting, wasting underweight in children under 5 years of teenage mothers when compared to similar children of adult mothers in Tamale Metropolis, Ghana, suggesting an increased risk of child undernutrition with young maternal age.

In the present study, the overall prevalence rates of stunting and wasting in children under five: 39.0% and 8.0% respectively were higher compared to 33.1% and 6.3% respectively recorded for Northern Region in 2014 [4]. It was revealed that consistently, the prevalence of undernutrition for children of teenage mothers was higher than for children of adult mothers and the risk of undernutrition for these children was at least three times that of children of adult mothers. In agreement with the findings of our study, two studies observed higher prevalence of undernutrition among children belonging to teenagers compared to those of adult women in Accra and Bangladesh [10, 17].

The high prevalence of undernutrition overall recorded in our study population could be attributed to the high prevalence of undernutrition in children of young mothers. The main causes of undernutrition in children are inadequate dietary intake and infections so more children of young mothers might have been exposed to these. According to Mwaniki and Makokha [18], undernourished children have significantly inadequate intake of diversified foods and low rate of hand washing at critical times. Inadequate dietary intake and infections usually result from household food insecurity, inappropriate child care practices as well as poor health care [19].

Teenage mothers are less powered to guarantee children adequate dietary intake, access to safe water, and sanitary conditions given all the issues associated with teenage childbearing in Ghana. While their bodies may compete with developing foetuses being carried for nutrition, they may not be psychologically ready to nurse babies after delivery, or they may not have adequate financial resources to provide the needs of the babies owing to their poor socio-economic circumstances and that of their partners. Teenage mothers may not be accepted by their parents and may be forced to leave their care, their partners may also be teenagers with no stable source of income, they may face considerable stigma, or they may experience personal distress for getting pregnant prematurely and dropping out of school. As a result of these problems the amount and quality of care, nursing and nurturing they give to their children may be less compared to children of adult mothers. This is likely to affect the growth and development of their children resulting in malnutrition and other growth deficits.

Conclusion

The present study revealed high prevalence of stunting, wasting and underweight among children under five of teenage mothers in Tamale Metropolis, Ghana. Children of teenage mothers compared to those of adult mothers were at least three times more likely to be undernourished. Efforts, including prevention of child marriages, should be intensified in order to prevent teenage childbearing. Teenage mothers and their children should be evaluated and specifically targeted with nutrition and health interventions to prevent undernutrition.

Limitations

We used a cross-sectional study design which is not appropriate for studying cause-effect relationships and data were not available on the nutritional status of the mothers. This notwithstanding, we believe the present study sheds some light on the effect of young maternal age on child growth indicators in the Tamale Metropolis.

Additional file

13104_2018_3980_MOESM1_ESM.docx (17KB, docx)

Additional file 1. Comparison of socio-demographic characteristics of teenage and adult mothers.

Authors’ contributions

AW designed the study and analysed the data; HG, TA and HG supervised the data collection and conducted anthropometry on the children; and AA conducted preliminary analysis and drafted the manuscript. All authors contributed to the writing of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We are grateful to the mothers who responded to the questionnaire.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The minimal dataset analysed during the current study can be obtained from the corresponding author upon reasonable request.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethical clearance for this study was granted by the Joint Ethical Review Committee of the School of Medicine and Health Sciences and School of Allied Health Sciences, University for Development Studies (Protocol Number 02-2017). Written informed consent was sought from all study participants, and from the parents of 4 girls who were aged 15 years. All participants were assured of confidentiality of collected data.

Funding

The study was funded by the authors.

Publisher’s Note

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

Abbreviations

AOR

Adjusted Odds Ratio

CI

confidence interval

WHZ

weight-for-height

HAZ

height-for-age

WAZ

weight-for-age

WHO

World Health Organisation

Contributor Information

Anthony Wemakor, Email: anthonywemakor@yahoo.com.

Humphrey Garti, Email: hgarti@yahoo.com.

Thomas Azongo, Email: thomasazongo@yahoo.com.

Helene Garti, Email: helzun@yahoo.co.uk.

Ambrose Atosona, Email: aatosona@yahoo.com.

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Associated Data

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

Supplementary Materials

13104_2018_3980_MOESM1_ESM.docx (17KB, docx)

Additional file 1. Comparison of socio-demographic characteristics of teenage and adult mothers.

Data Availability Statement

The minimal dataset analysed during the current study can be obtained from the corresponding author upon reasonable request.


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