Predictors of reported consumption of low-nutrient-density foods in a 24-h recall by 8-16 year old US children and adolescents.
The purpose of this study was to develop an explanatory model to predict the number of low-nutrient-density (LND) foods reported in a 24-h recall by US children and adolescents using data from the third National Health and Nutrition Examination Survey. The reported number of LND foods was estimated from 24-h dietary recall data for 8-16 year old respondents (n=4137; 2024 males and 2113 females). The LND foods included--baked and dairy desserts, sweeteners, salty snacks, visible/discretionary fat, and miscellaneous. The predictive ability of socio-demographic, family, weight/dieting related, life-style or food consumption related subject characteristics was determined using multiple linear regression analyses. The strongest independent negative predictor of the reported number of LND foods was the amount of nutrient-dense foods from the five major food groups. In addition, number of eating occasions reported was a significant independent positive predictor, and the weekly frequency of consuming a complete school lunch was a significant independent negative predictor of the reported number of LND foods. These models explained approximately 55% of the variance in LND food reporting in both males and females. Socio-demographic, family, body weight, or lifestyle characteristics contributed little to predicting the number of LND foods reported in a 24-h recall.
Kant
Ashima K
AK
Department of Family, Nutrition, and Exercise Sciences, Queens College of the City University of New York, Flushing, NY 11367, USA. akant@qc.edu
Graubard
Barry I
BI
D000293:Adolescent; D017195:Adolescent Nutritional Physiological Phenomena; D000367:Age Factors; D002648:Child; D002664:Child Nutritional Physiological Phenomena; D004032:Diet; D015930:Diet Records; D002149:Energy Intake; D005006:Ethnicity; D005260:Female; D006801:Humans; D008019:Life Style; D016014:Linear Models; D008297:Male; D011939:Mental Recall; D009749:Nutrition Surveys; D009753:Nutritive Value; D012959:Socioeconomic Factors