Noemi Islam
Dados Biográficos
| ID | 6264903 |
|---|---|
| NOME | Noemi Islam |
| PRENOMES | Noemi |
| SOBRENOME | Islam |
| ASSINATURA | ISLAM N |
| AFILIAÇÕES | Children's Nutrition Research Center at Baylor College of Medicine |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 4 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2008 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2012 |
| ÍNDICE H | 0 |
The Automated Self-Administered 24-Hour Dietary Recall (ASA24)
Children’s accuracy of portion size estimation using digital food images
Objective To test the effect of image size and presence of size cues on the accuracy of portion size estimation by children. Design Children were randomly assigned to seeing images with or without food size cues (utensils and checked tablecloth) and were presented with sixteen food models (foods commonly eaten by children) in varying portion sizes, one at a time. They estimated each food model’s portion size by selecting a digital food image. The…
Fruit and vegetables are similarly categorised by 8–13-year-old children
Objective This exploratory study assessed how 8–13-year-old children categorised and labelled fruit and vegetables (FaV), and how these were influenced by child characteristics, to specify second-level categories in a hierarchical food search system for a computerised 24 h dietary recall (hdr). Design Two sets of food cards, sixty-seven for fruit (F) and sixty-four for vegetables (V), with pictures and names of FaV from ten professionally defined…
Mixed foods are similarly categorized by 8–13 year old children
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Mixed foods are similarly categorized by 8–13 year old children
Fruit and vegetables are similarly categorised by 8–13-year-old children
Objective This exploratory study assessed how 8–13-year-old children categorised and labelled fruit and vegetables (FaV), and how these were influenced by child characteristics, to specify second-level categories in a hierarchical food search system for a computerised 24 h dietary recall (hdr). Design Two sets of food cards, sixty-seven for fruit (F) and sixty-four for vegetables (V), with pictures and names of FaV from ten professionally defined…
Children’s accuracy of portion size estimation using digital food images
Objective To test the effect of image size and presence of size cues on the accuracy of portion size estimation by children. Design Children were randomly assigned to seeing images with or without food size cues (utensils and checked tablecloth) and were presented with sixteen food models (foods commonly eaten by children) in varying portion sizes, one at a time. They estimated each food model’s portion size by selecting a digital food image. The…
The Automated Self-Administered 24-Hour Dietary Recall (ASA24)
Computer Science (3 obras) · Consumer Attitudes and Food Labeling (3 obras) · Medicine (3 obras) · Nutritional Studies and Diet (3 obras) · Obesity, Physical Activity, Diet (3 obras) · Psychology (3 obras) · Artificial Intelligence (2 obras) · Environmental health (2 obras) · Food group (2 obras) · Recall (2 obras)