2021
DOI: 10.1016/j.puhip.2021.100112
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Predictive model of stunting in the Central Andean region of Peru based on socioeconomic and agri-food determinants

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Cited by 19 publications
(24 citation statements)
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References 33 publications
(35 reference statements)
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“…The variables analyzed were limited to those provided by the survey. The analytical results cannot explain several other variables that have been identified from previous studies to affect stunting in children under five, including antenatal care, maternal stature, maternal body mass index, wealth index, diarrhoea, anaemia, and agri-food [52][53][54][55].…”
Section: Study Limitationmentioning
confidence: 64%
“…The variables analyzed were limited to those provided by the survey. The analytical results cannot explain several other variables that have been identified from previous studies to affect stunting in children under five, including antenatal care, maternal stature, maternal body mass index, wealth index, diarrhoea, anaemia, and agri-food [52][53][54][55].…”
Section: Study Limitationmentioning
confidence: 64%
“…The variables analyzed were limited to those offered by the survey. The analysis results cannot explain several other variables that have been known from previous studies to affect stunting in children under two years: antenatal care, maternal stature, maternal body mass index, wealth index, diarrhea, anemia, and agri-food [ 40 , 46 48 ].…”
Section: Discussionmentioning
confidence: 85%
“…Useche (2016) highlight that between urban and rural areas in Peru there is a wide gap in terms of food security. According to Castro-Bedriñana et al (2021), the average chronic malnutrition rate in Lima is 5% and in rural areas it is over 33%. In rural areas of Peru, 4 out of every 5 children between 6 months and 2 years old suffer from malnutrition (UNICEF, 2019).…”
Section: Resistance Of the Peruvian Food System To Centralizationmentioning
confidence: 99%