Nonlinear Physical Growth of Children from Infancy to Middle Adolescence in Low- and Middle-Income Countries

Wake, Senahara Korsa; Zewotir, Temesgen; Muluneh, Essey Kebede

doi:10.34172/jrhs.2021.69

Cited by 10 publications

(8 citation statements)

References 24 publications

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“…A longitudinal anthropometric measurements of children were collected at the years 2002,2006,2009,2013, and 2016 17 . The sample and sampling procedures adopted in the Young Lives cohort study were addressed in detail elsewhere [18][19][20][21][22][23] .…”

Section: Data Sources and Settingsmentioning

confidence: 99%

Patterns, prevalence and determinants of stunting among children aged 1-15 years

Wake

Zewotir

2022

Preprint

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Stunting increases morbidity and mortality, hindering mental development and influencing cognitive capacity of children. This study aimed to examine the trends and determinants of stunting from infancy to middle adolescence in four countries: Ethiopia, India, Peru, and Vietnam. A 15-year longitudinal data on the prevalence of stunting were obtained from the Young Lives cohort study. The study includes 38361 observations from 4 countries in between 2002 and 2016. A generalized mixed-effects model was adopted to estimate the determinant of stunting. The patterns of stunting in children from 2002 to 2016 have declined from an estimated 30% in 2002 to 20% in 2016. Stunting prevalence varied among four low- and middle-income countries with children in Ethiopia, India, and Peru being more stunted compared to children in Vietnam. The highest stunted was recorded in India and the lower was recorded in Vietnam. In all four countries, the highest prevalence of severe stunting was observed in 2002 and moderate stunting was observed in 2006. Parents' education level played a significance role in determining child stunting. Children of uneducated parents were shown to be at a higher risk of stunting. The pattern of stunting was reduced in four low- and middle-income countries from 2002 to 2016. Disparities of stunting were observed between- and within-country of low- and middle-income with the highest prevalence recorded in low-income country. Child stunting is caused by factors related to child's age, household wealth, household size, the mother's and father's education level, residence area and access to save drinking water.

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Section: Data Sources and Settingsmentioning

confidence: 99%

Patterns, prevalence and determinants of stunting among children aged 1-15 years

Wake

Zewotir

2022

Preprint

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“…A longitudinal anthropometric measurements of children were collected at the years 2002, 2006, 2009, 2013, and 2016 [ 17 ]. The sample and sampling procedures adopted in the Young Lives cohort study were addressed in detail elsewhere [ 18 – 23 ].…”

Section: Methodsmentioning

confidence: 99%

Longitudinal trends and determinants of stunting among children aged 1–15 years

et al. 2023

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Background Stunting increases morbidity and mortality, hindering mental development and influencing cognitive capacity of children. This study aimed to examine the trends and determinants of stunting from infancy to middle adolescence in four countries: Ethiopia, India, Peru, and Vietnam. Methods A 15-year longitudinal data on the trends of stunting were obtained from the Young Lives cohort study. The study includes 38,361 observations from 4 countries. A generalized mixed-effects model was adopted to estimate the determinant of stunting. Results The patterns of stunting in children from aged 1 to 15 years have declined from an estimated 30% in 2002 to 20% in 2016. Stunting prevalence varied among four low- and middle-income countries with children in Ethiopia, India, and Peru being more stunted compared to children in Vietnam. The highest stunted was recorded in India and the lowest was recorded in Vietnam. In all four countries, the highest prevalence of severe stunting was observed in 2002 and moderate stunting was observed in 2006. Parents’ education level played a significance role in determining a child stunting. Children of uneducated parents were shown to be at a higher risk of stunting. Conclusion Disparities of stunting were observed between- and within-country of four low- and middle-income with the highest prevalence recorded in low-income country. Child stunting is caused by factors related to child’s age, household wealth, household size, the mother’s and father’s education level, residence area and access to save drinking water.

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“…Finally, within the designated sites,100 children were chosen at random [ 24 ]. The details about the sample and sampling techniques used in the Young Lives cohort study were discussed in the previous studies [ 25 – 29 ].…”

Section: Methodsmentioning

confidence: 99%

Rural-urban differentials in child body mass index over time

Wake,

Zewotir,

Mekebo

et al. 2023

BMC Pediatr

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Background The body mass index is a simple index based on weight and height that can be used to screen children and adults for potential weight problems. The objective of this study was to investigate urban-rural variations in child BMI and its distribution from 2006 to 2016 in four low and middle-income countries. Methods This study used data from the Young Lives prospective cohort study conducted in Ethiopia, India, Peru, and Vietnam to assess the BMI change for children aged 5 to 15 between 2006 and 2016. We adopted a mixed-effect model to analyze the data. Results The study revealed substantial changes and rises in BMI in Vietnam, Peru, India, and Ethiopia between 2006 and 2016. Peru had the highest BMI changes in both urban-rural areas. A low BMI was observed in Ethiopia and India. Urban-rural differences had a significant role in determining BMI variation. In urban Ethiopia, the mean BMI increased from 14.56 kg/m2 to 17.52 kg/m2, and in rural areas, it increased from 14.57 kg/m2 to 16.67 kg/m2. Similarly, in urban Vietnam, the BMI increased from 16 kg/m2 to 20.3 kg/m2, and in rural areas, it increased from 14.69 kg/m2 to 18.93 kg/m2. Conclusions The findings showed an increase in BMI changes in Ethiopia, India, Peru, and Vietnam from 2006 to 2016. Urban-rural differences have a significant contribution to determining BMI variation.

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Nonlinear Physical Growth of Children from Infancy to Middle Adolescence in Low- and Middle-Income Countries

Cited by 10 publications

References 24 publications

Patterns, prevalence and determinants of stunting among children aged 1-15 years

Patterns, prevalence and determinants of stunting among children aged 1-15 years

Longitudinal trends and determinants of stunting among children aged 1–15 years

Rural-urban differentials in child body mass index over time

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