The Stunting Tool for Early Prevention: development and external validation of a novel tool to predict risk of stunting in children at 3 years of age

被引:11
作者
Hanieh, Sarah [1 ]
Braat, Sabine [2 ]
Simpson, Julie A. [2 ]
Tran Thi Thu Ha [3 ]
Tran, Thach D. [3 ,4 ]
Tran Tuan [3 ]
Fisher, Jane [4 ]
Biggs, Beverley-Ann [1 ,5 ]
机构
[1] Univ Melbourne, Peter Doherty Inst Infect & Immun, Med, Melbourne, Vic, Australia
[2] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Melbourne, Vic, Australia
[3] Res & Training Ctr Community Dev, Hanoi, Vietnam
[4] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
[5] Royal Melbourne Hosp, Victorian Infect Dis Serv, Melbourne, Australia
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
MIDDLE-INCOME COUNTRIES; GROWTH; INTERVENTIONS;
D O I
10.1136/bmjgh-2019-001801
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction Globally, an estimated 151 million children under 5 years of age still suffer from the adverse effects of stunting. We sought to develop and externally validate an early life predictive model that could be applied in infancy to accurately predict risk of stunting in preschool children. Methods We conducted two separate prospective cohort studies in Vietnam that intensively monitored children from early pregnancy until 3 years of age. They included 1168 and 475 live-born infants for model development and validation, respectively. Logistic regression on child stunting at 3 years of age was performed for model development, and the predicted probabilities for stunting were used to evaluate the performance of this model in the validation data set. Results Stunting prevalence was 16.9% (172 of 1015) in the development data set and 16.4% (70 of 426) in the validation data set. Key predictors included in the final model were paternal and maternal height, maternal weekly weight gain during pregnancy, infant sex, gestational age at birth, and infant weight and length at 6 months of age. The area under the receiver operating characteristic curve in the validation data set was 0.85 (95% Confidence Interval, 0.80-0.90). Conclusion This tool applied to infants at 6 months of age provided valid prediction of risk of stunting at 3 years of age using a readily available set of parental and infant measures. Further research is required to examine the impact of preventive measures introduced at 6 months of age on those identified as being at risk of growth faltering at 3 years of age.
引用
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页数:12
相关论文
共 32 条
[1]  
[Anonymous], SUST DEV GOALS
[2]  
[Anonymous], MALN
[3]  
[Anonymous], COMP MULT SUPPL BE U
[4]  
[Anonymous], 2015, BMC MED, DOI DOI 10.1186/s12916-014-0241-z
[5]   The developmental origins of chronic adult disease [J].
Barker, DJP .
ACTA PAEDIATRICA, 2004, 93 :26-33
[6]  
Black RE, 2008, LANCET, V371, P243, DOI [10.1016/S0140-6736(07)61690-0, 10.1016/S0140-6736(13)60937-X]
[7]   Countdown to 2030: tracking progress towards universal coverage for reproductive, maternal, newborn, and child health [J].
Boerma, Ties ;
Requejo, Jennifer ;
Victora, Cesar G. ;
Amouzou, Agbessi ;
George, Asha ;
Agyepong, Irene ;
Barroso, Carmen ;
Barros, Aluisio J. D. ;
Bhutta, Zulfiqar A. ;
Black, Robert E. ;
Borghi, Josephine ;
Buse, Kent ;
Aguirre, Liliana Carvajal ;
Chopra, Mickey ;
Chou, Doris ;
Chu, Yue ;
Claeson, Mariam ;
Daelmans, Bernadette ;
Davis, Austen ;
DeJong, Jocelyn ;
Diaz, Theresa ;
El Arifeen, Shams ;
Ewerling, Fernanda ;
Fox, Monica ;
Gillespie, Stuart ;
Grove, John ;
Guenther, Tanya ;
Haakenstad, Annie ;
Hosseinpoor, Ahmad Reza ;
Hounton, Sennen ;
Huicho, Luis ;
Jacobs, Troy ;
Jiwani, Safia ;
Keita, Youssouf ;
Khosla, Rajat ;
Kruk, Margaret E. ;
Kuo, Nana Taona ;
Kyobutungi, Catherine ;
Langer, Ana ;
Lawn, Joy E. ;
Leslie, Hannah ;
Liang, Mengjia ;
Maliqi, Blerta ;
Manu, Alexander ;
Masanja, Honorati ;
Marchant, Tanya ;
Menon, Purnima ;
Moran, Allisyn C. ;
Mujica, Oscar J. ;
Nambiar, Devaki .
LANCET, 2018, 391 (10129) :1538-1548
[8]   Household food insecurity and children's dietary diversity and nutrition in India. Evidence from the comprehensive nutrition survey in Maharashtra [J].
Chandrasekhar, S. ;
Aguayo, Victor M. ;
Krishna, Vandana ;
Nair, Rajlakshmi .
MATERNAL AND CHILD NUTRITION, 2017, 13
[9]   Nutrition Interventions in the Lives Saved Tool (LiST) [J].
Clermont, Adrienne ;
Walker, Neff .
JOURNAL OF NUTRITION, 2017, 147 (11) :2132S-2140S
[10]   Modelling stunting in LiST: the effect of applying smoothing to linear growth data [J].
Cousens, Simon ;
Perin, Jamie ;
Christian, Parul ;
Wu, Lee Shu-Fune ;
Soofi, Sajid ;
Bhutta, Zulfiqar ;
Lanata, Claudio ;
Guerrant, Richard L. ;
Lima, Aldo A. M. ;
Molbak, Kare ;
Valentiner-Branth, Palle ;
Checkley, William ;
Gilman, Robert H. ;
Sack, R. Bradley ;
Black, Robert E. ;
Humphrey, Jean ;
Walker, Neff .
BMC PUBLIC HEALTH, 2017, 17