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

Wemakor, Anthony; Garti, Humphrey; Azongo, Thomas Bavo; Garti, Helene Akpene; Atosona, Ambrose

doi:10.1186/s13104-018-3980-7

Cited by 110 publications

(122 citation statements)

References 14 publications

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“…The prevalence of wasting (17.1%), stunting (22.0%) and underweight (19.1%) were above that reported in the KDHS 2014 where wasting, stunting and underweight for children 6-59 months were 4.0%, 26.0% and 11.0% respectively. The findings of this study were also higher than that of Wemakor (2018) in Ghana except for stunting which was lower. The findings were also similar to the County Health report (2018) where stunting was 27.2% while severe stunting was 7.7 % and underweight 18.9% while severe underweight was 2.6%.…”

Section: Discussioncontrasting

confidence: 64%

Dietary Practices and Nutrition Status of Infants Born to Adolescent Mothers in Transmara West, Narok County, Kenya

Brigid¹,

Wesley²,

Jane³

2020

ijird

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Introduction Globally, approximately 12.8 million girls aged 15-19 years and two million girls under the age of 15 give birth every year putting themselves and their infants at risk due to complications of child birth and pregnancy (WHO, 2018). Infants born to adolescents who are considered young mothers are likely to have low birth weight, which can have an effect on their health and development (WHO,2018). Globally, approximately 22% of children under the age of five years were stunted, 5.6% overweight and 7.5% wasted globally while in Sub-Saharan Africa the prevalence of the three forms of malnutrition is stunting 5.6% overweight 21% and wasting is at 9% (WHO, 2018). Early conceptions and childbearing have been associated with stress and negative mental health which impacts negatively in the development of their children (Huang, 2014). Most of the adolescent mothers may not be formally employed and are from low socioeconomic status which may affect the health outcomes of their infants (Godbout, Goldsberry, & Franklin, 2016). They also deal with individual, social and personal changes which make it hard for them to properly take care of their infants (Chen et al., 2014). The Kenya Demographic Health Survey (KDHS, 2014) reported that; 26% of children below the age of five years in Kenya are stunted, 4% wasted and 11% underweight based on WHO 2006 reference growth standards. In addition, 18% of young women aged 15-19 years have begun childbearing, 15% have already had a live birth and an additional 3% are

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Section: Discussioncontrasting

confidence: 64%

Dietary Practices and Nutrition Status of Infants Born to Adolescent Mothers in Transmara West, Narok County, Kenya

Brigid¹,

Wesley²,

Jane³

2020

ijird

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“…The association observed among children from older mothers and the decrease in severe stunting suggests encouraging adult motherhood as young mothers are less likely to have good knowledge on appropriate health care and feeding practices of their children. Also, young mothers need adequate nutrition for their optimal growth and that of their children but this is not always the case as mothers have to share the little portion of food with their babies [40,[49][50][51]. An increase in the likelihood of severe stunting found among children from households with higher number of children below 5 years could be due to increased competition for household food with a high number of people and limited resources to respond to health needs of household members.…”

Section: Discussionmentioning

confidence: 99%

Simultaneous quantile regression and determinants of under-five severe chronic malnutrition in Ghana

Aheto

2020

BMC Public Health

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Background: Under-five malnutrition is a major public health issue contributing to mortality and morbidity, especially in developing countries like Ghana where the rates remain unacceptably high. Identification of critical risk factors of under-five malnutrition using appropriate and advanced statistical methods can help formulate appropriate health programmes and policies aimed at achieving the United Nations SDG Goal 2 target 2. This study attempts to develop a simultaneous quantile regression, an in-depth statistical model to identify critical risk factors of under-five severe chronic malnutrition (severe stunting). Methods: Based on the nationally representative data from the 2014 Ghana Demographic and Health Survey, height-forage z-score (HAZ) was estimated. Multivariable simultaneous quantile regression modelling was employed to identify critical risk factors for severe stunting based on HAZ (a measure of chronic malnutrition in populations). Quantiles of HAZ with focus on severe stunting were modelled and the impact of the risk factors determined. Significant test of the difference between slopes at different selected quantiles of severe stunting and other quantiles were performed. A quantile regression plots of slopes were developed to visually examine the impact of the risk factors across these quantiles. Results: Data on a total of 2716 children were analysed out of which 144 (5.3%) were severely stunted. The models identified child level factors such as type of birth, sex, age, place of delivery and size at birth as significant risk factors of under-five severe stunting. Maternal and household level factors identified as significant predictors of under-five severe stunting were maternal age and education, maternal national health insurance status, household wealth status, and number of children under-five in households. Highly significant differences exist in the slopes between 0.1 and 0.9 quantiles. The quantile regression plots for the selected quantiles from 0.1 to 0.9 showed substantial differences in the impact of the covariates across the quantiles of HAZ considered. Conclusion: Critical risk factors that can aid formulation of child nutrition and health policies and interventions that will improve child nutritional outcomes and survival were identified. Modelling under-five severe stunting using multivariable simultaneous quantile regression models could be beneficial to addressing the under-five severe stunting.

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“…A significant association of underweight with maternal age, BMI, access to water, and having a refrigerator was observed in this study. Factors associated with underweight among children below five years of age have been well studied in various countries such as Ghana, Ethiopia, and Nepal [70,71,72]. However, there is a paucity of data on the predictors of underweight among schoolchildren in South Africa and other LMICs.…”

Section: Discussionmentioning

confidence: 99%

Childhood Undernutrition and Its Predictors in a Rural Health and Demographic Surveillance System Site in South Africa

Modjadji

Madiba

2019

IJERPH

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Background: Overweight and obesity are increasing at an alarming rate in South Africa, while childhood undernutrition remains persistently high. This study determined the magnitude and predictors of stunting and underweight among schoolchildren in the Dikgale and Health Demographic Surveillance System Site, a rural site in South Africa. Methods: A cross sectional study using multistage sampling was conducted among 508 schoolchildren and their mothers. Anthropometric measurements were taken from children and their mothers, while sociodemographic information was obtained from mothers using a questionnaire. The World Health Organization Anthro Plus was used to generate height-for-age and weight-for-age z-scores to indicate stunting and underweight, respectively, among the children. Maternal overweight and obesity were assessed using body mass index. Bivariate and multivariate logistic regression analyses were used to evaluate the predictors of stunting and underweight among schoolchildren. Results: Twenty-two percent (22%) of children were stunted and 27% were underweight, while 27.4% of the mothers were overweight and 42.3% were obese. The odds of being stunted were lower in younger children, whereas having a mother who was overweight/obese and had a short stature increased the odds of stunting. Access to water, having a refrigerator, and having a young mother were protective against being underweight. Having a mother who was overweight/obese increased the odds of being underweight. Conclusions: The study showed a high prevalence of stunting and underweight among children, and overweight and obesity among mothers, indicating a household double burden of malnutrition. The age of the child and maternal overweight/obesity and short stature were predictors of stunting and underweight, while having a younger mother and access to water and a refrigerator were protective against being underweight. The need for an evidence-based and feasible nutrition program for schoolchildren, especially those in rural schools, cannot be over-emphasized.

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

Cited by 110 publications

References 14 publications

Dietary Practices and Nutrition Status of Infants Born to Adolescent Mothers in Transmara West, Narok County, Kenya

Dietary Practices and Nutrition Status of Infants Born to Adolescent Mothers in Transmara West, Narok County, Kenya

Simultaneous quantile regression and determinants of under-five severe chronic malnutrition in Ghana

Childhood Undernutrition and Its Predictors in a Rural Health and Demographic Surveillance System Site in South Africa

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