Post–1000 days growth trajectories and child cognitive development in low- and middle-income countries

The association between perinatal depression and infant cognitive development has been well documented in research based in high-income contexts, but the literature regarding the same relationship in low and middle-income countries (LMICs) is less developed. The aim of this study is to systematically review what is known in this area in order to inform priorities for early intervention and future research in LMICs. The review protocol was pre-registered on Prospero (CRD42018108589) and relevant electronic databases were searched using a consistent set of keywords and 1473 articles were screened against the eligibility criteria. Sixteen articles were included in the review, seven focusing on the antenatal period, eight on the postnatal period, and one which included both. Five out of eight studies found a significant association between antenatal depression (d = .21-.93) and infant cognitive development, while four out of nine studies found a significant association with postnatal depression (d = .17-.47). Although the evidence suggests that LMICs should prioritise antenatal mental health care, many of the studies did not adequately isolate the effects of depression in each period. Furthermore, very few studies explored more complex interactions that may exist between perinatal depression and other relevant factors. More high-quality studies are needed in LMIC settings, driven by current theory, that test main effects and examine moderating or mediating pathways to cognitive development.

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Growth recovery and faltering through early adolescence in low- and middle-income countries: Determinants and implications for cognitive development

Social Science & Medicine ◽

10.1016/j.socscimed.2017.02.031 ◽

2017 ◽

Vol 179 ◽

pp. 81-90 ◽

Cited By ~ 21

Author(s):

Andreas Georgiadis ◽

Liza Benny ◽

Le Thuc Duc ◽

Sheikh Galab ◽

Prudhvikar Reddy ◽

...

Keyword(s):

Cognitive Development ◽

Early Adolescence ◽

Middle Income ◽

Middle Income Countries ◽

Growth Recovery ◽

Low And Middle Income

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Growth trajectories from conception through middle childhood and cognitive achievement at age 8 years: Evidence from four low- and middle-income countries

SSM - Population Health ◽

10.1016/j.ssmph.2016.01.003 ◽

2016 ◽

Vol 2 ◽

pp. 43-54 ◽

Cited By ~ 16

Author(s):

Andreas Georgiadis ◽

Liza Benny ◽

Benjamin T. Crookston ◽

Le Thuc Duc ◽

Priscila Hermida ◽

...

Keyword(s):

Middle Childhood ◽

Cognitive Achievement ◽

Growth Trajectories ◽

Middle Income ◽

Middle Income Countries ◽

Low And Middle Income

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From Infancy to Middle-Adolescence Nonlinear Physical Growth in Low- and Middle-Income Countries

10.21203/rs.3.rs-146715/v1 ◽

2021 ◽

Author(s):

Senahara Korsa Wake ◽

Temesgen Zewotir ◽

Essey Kebede Muluneh

Keyword(s):

Growth Curve ◽

Growth Curves ◽

Height Growth ◽

Growth Trajectories ◽

Middle Income ◽

Nonlinear Growth ◽

Middle Income Countries ◽

Rate Of Growth ◽

Middle Adolescence ◽

Low And Middle Income

Abstract Background: Modeling the growth curve of height has a significant role in understanding the growth trajectories over time and generated mathematical functions that depict the expected height of children at a particular age. However, modeling the mathematical growth functions for physical height is not well studied in low- and middle-income countries. Modeling and identifying nonlinear growth curves that adequately describe the growth trajectories in low- and middle-income countries were the aims of this study. Methods: The data were obtained from the Young Lives study. Longitudinal measures of height from infancy to middle-adolescence were collected from low- and middle-income countries. A number of nonlinear growth trajectories were studied through the family of three-parameter nonlinear mixed-effects models. Results: This study examined the performances of different growth curves for the height growth trajectories. The Logistic curve was chosen among the three-parameter nonlinear growth curves for modeling the growth trajectories from infancy to middle-adolescence. Gender and country have significant effects on the three parameters of growth curves. Males had higher asymptotic height and a lower rate of growth than females. Females reached asymptotic height earlier and shorter at asymptotic height than males. Children with low asymptotic height grow faster than those with higher asymptotic height. Compared to Ethiopian children, Indian and Peruvian children had lower asymptotic height, but Vietnamese children had higher asymptotic height. Ethiopian children approached adult height earlier than Indian children, but later than Peruvian children. However, there was no significant difference in the rate of growth between Ethiopian and Vietnamese children. Conclusions: This study concludes that the Logistic growth curve was found to be the best growth curve to describe the height growth trajectories. Children in Ethiopia, India, Peru and Vietnam showed different growth parameters. Further enhancements may be attained with the incorporation of other plausible covariates.

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