Short Maternal Stature Increases Risk of Small-for-Gestational-Age and Preterm Births in Low- and Middle-Income Countries: Individual Participant Data Meta-Analysis and Population Attributable Fraction

Kozuki, Naoko; Katz, Joanne; Lee, Anne CC; Vogel, Joshua P.; Silveira, Mariângela F.; Sania, Ayesha; Stevens, Gretchen A; Cousens, Simon; Caulfield, Laura E.; Christian, Parul; Huybregts, Lieven; Roberfroid, Dominique; Schmiegelow, Christentze; Adair, Linda S; Barros, Fernando C.; Cowan, Melanie; Fawzi, Wafaie; Kolsteren, Patrick; Merialdi, Mario; Mongkolchati, Aroonsri; Saville, Naomi; Victora, Cesar G.; Bhutta, Zulfiqar A.; Blencowe, Hannah; Ezzati, Majid; Lawn, Joy E.; Black, Robert E

doi:10.3945/jn.115.216374

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Short Maternal Stature Increases Risk of Small-for-Gestational-Age and Preterm Births in Low- and Middle-Income Countries: Individual Participant Data Meta-Analysis and Population Attributable Fraction

Author(s): Naoko Kozuki , Joanne Katz , Anne CC Lee , Joshua P Vogel , Mariangela F Silveira , Ayesha Sania , Gretchen A Stevens , Simon Cousens , Laura E Caulfield , Parul Christian , Lieven Huybregts , Dominique Roberfroid , Christentze Schmiegelow , Linda S Adair , Fernando C Barros , Melanie Cowan , Wafaie Fawzi , Patrick Kolsteren , Mario Merialdi , Aroonsri Mongkolchati , Naomi Saville , Cesar G Victora , Zulfiqar A Bhutta , Hannah Blencowe , Majid Ezzati , Joy E Lawn , Robert E Black

Publication date Created: November 2015

Publication date (Print): November 2015

Journal: The Journal of Nutrition

Publisher: American Society for Nutrition

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Abstract

Small-for-gestational-age (SGA) and preterm births are associated with adverse health consequences, including neonatal and infant mortality, childhood undernutrition, and adulthood chronic disease.

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Most cited references 49

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Meta-analysis in clinical trials

Rebecca DerSimonian, Nan Laird (1986)

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Maternal and child undernutrition and overweight in low-income and middle-income countries

Robert E Black, Cesar G Victora, Susan P. Walker … (2013)

The Lancet, 382(9890), 427-451

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A modified poisson regression approach to prospective studies with binary data.

G Zou (2004)

Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) to estimate this effect measure directly. A simple 2-by-2 table is used to justify the validity of this approach. Results from a limited simulation study indicate that this approach is very reliable even with total sample sizes as small as 100. The method is illustrated with two data sets.

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Author and article information

Journal

Title: The Journal of Nutrition

Abbreviated Title: The Journal of Nutrition

Publisher: American Society for Nutrition

ISSN (Print): 00223166

Publication date Created: November 2015

Publication date (Print): November 2015

Volume: 145

Issue: 11

Pages: 2542-2550

Article

DOI: 10.3945/jn.115.216374

PMC ID: 6457093

PubMed ID: 26423738

SO-VID: 5082482c-413f-4ab9-8464-5417745e062a

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Short Maternal Stature Increases Risk of Small-for-Gestational-Age and Preterm Births in Low- and Middle-Income Countries: Individual Participant Data Meta-Analysis and Population Attributable Fraction

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Abstract

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UCL: UN SDG 03 Good Health and Well-Being

Most cited references 49

Meta-analysis in clinical trials

Maternal and child undernutrition and overweight in low-income and middle-income countries

A modified poisson regression approach to prospective studies with binary data.

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