The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Issues in dietary intake assessment of children and adolescents
Open accessAbstract
Studies of food habits and dietary intakes face a number of unique respondent and observer considerations at different stages from early childhood to late adolescence. Despite this, intakes have often been reported as if valid, and the interpretation of links between intake and health has been based, often erroneously, on the assumption of validity. However, validation studies of energy intake data have led to the widespread recognition that much of the dietary data on children and adolescents is prone to reporting error, mostly through under-reporting. Reporting error is influenced by body weight status and does not occur systematically across different age groups or different dietary survey techniques. It appears that the available methods for assessing the dietary intakes of children are, at best, able to provide unbiased estimates of energy intake only at the group level, while the food intake data of most adolescents are particularly prone to reporting error at both the group and the individual level. Moreover, evidence for the existence of subject-specific responding in dietary assessments challenges the assumption that repeated measurements of dietary intake will eventually obtain valid data. Only limited progress has been made in understanding the variables associated with misreporting in these age groups, the associated biases in estimating nutrient intakes and the most appropriate way to interpret unrepresentative dietary data. Until these issues are better understood, researchers should exercise considerable caution when evaluating all such data.
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Cites
Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors
Kelder, S. H., Perry, C. L., Klepp, K. I., & Lytle, L. L. (1994) · American Journal of Public Health · doi:10.2105/ajph.84.7.1121 · Cited by 1,388
Measurement of dietary intake in children
Livingstone, M. B. E., & Robson, P. J. (2000) · Proceedings of the Nutrition Society · doi:10.1017/s0029665100000318 · Cited by 750
Self-citationBLACK, A. E., & COLE, T. J. (2001) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(01)00018-9 · Cited by 249
Black, A., & Cole, T. (2000) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1600970 · Cited by 247
Cited by
Van Cauwenberghe, E., Maes, L., Spittaels, H., van Lenthe, F. J., Brug, J., Oppert, J.-M., & De Bourdeaudhuij, I. (2010) · British Journal of Nutrition · doi:10.1017/s0007114509993370 · Cited by 441
The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation
Zhu, F., Bosch, M., Woo, I., Kim, S., Boushey, C. J., Ebert, D. S., & Delp, E. J. (2010) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2010.2051471 · Cited by 355
The effects of breakfast on behavior and academic performance in children and adolescents
Adolphus, K., Lawton, C. L., & Dye, L. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00425 · Cited by 350
Muckelbauer, R., Libuda, L., Clausen, K., Toschke, A. M., Reinehr, T., & Kersting, M. (2009) · Pediatrics · doi:10.1542/peds.2008-2186 · Cited by 334
Riebl, S. K., Estabrooks, P. A., Dunsmore, J. C., Savla, J., Frisard, M. I., Dietrich, A. M., Peng, Y., Zhang, X., & Davy, B. M. (2015) · Eating Behaviors · doi:10.1016/j.eatbeh.2015.05.016 · Cited by 326
Use of technology in children’s dietary assessment
Boushey, C. J., Kerr, D. A., Wright, J., Lutes, K. D., Ebert, D. S., & Delp, E. J. (2009) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2008.65 · Cited by 231
Daugherty, B. L., Schap, T. E., Ettienne-Gittens, R., Zhu, F. M., Bosch, M., Delp, E. J., Ebert, D. S., Kerr, D. A., & Boushey, C. J. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1967 · Cited by 176
Poti, J. M., Duffey, K. J., & Popkin, B. M. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.071928 · Cited by 175
Scherr, R. E., Linnell, J. D., Dharmar, M., Beccarelli, L. M., Bergman, J. J., Briggs, M., Brian, K. M., Feenstra, G., Hillhouse, J. C., Keen, C. L., et al. (2017) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2016.12.007 · Cited by 137
Effect of a school-based intervention to promote healthy lifestyles in 7-11 year old children
Gorely, T., Nevill, M. E., Morris, J. G., Stensel, D. J., & Nevill, A. (2009) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-6-5 · Cited by 127
Ward, S., Bélanger, M., Donovan, D., & Carrier, N. (2015) · Obesity Reviews · doi:10.1111/obr.12315 · Cited by 124
Bontrager Yoder, A. B., Liebhart, J. L., McCarty, D. J., Meinen, A., Schoeller, D., Vargas, C., & LaRowe, T. (2014) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2014.04.297 · Cited by 104
Kant, A. K., & Graubard, B. I. (2013) · The Journal of Nutrition · doi:10.3945/jn.112.165258 · Cited by 100
Wang, J., Light, K., Henderson, M., O’Loughlin, J., Mathieu, M.-E., Paradis, G., & Gray-Donald, K. (2014) · The Journal of Nutrition · doi:10.3945/jn.113.182519 · Cited by 88
Parental family food choice motives and children’s food intake
Roos, E., Lehto, R., & Ray, C. (2012) · Food Quality and Preference · doi:10.1016/j.foodqual.2011.09.006 · Cited by 76
Advancements in Using AI for Dietary Assessment Based on Food Images: Scoping Review
Chotwanvirat, P., Prachansuwan, A., Sridonpai, P., & Kriengsinyos, W. (2024) · Journal of Medical Internet Research · doi:10.2196/51432 · Cited by 71
Wang, J. W., Mark, S., Henderson, M., O'Loughlin, J., Tremblay, A., Wortman, J., Paradis, G., & Gray‐Donald, K. (2013) · Pediatric Obesity · doi:10.1111/j.2047-6310.2012.00108.x · Cited by 51
Fernández-Alvira, J. M., te Velde, S. J., De Bourdeaudhuij, I., Bere, E., Manios, Y., Kovacs, E., Jan, N., Brug, J., & Moreno, L. A. (2013) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-10-80 · Cited by 51
Nikniaz, L., Abbasalizad‐Farhangi, M., Vajdi, M., & Nikniaz, Z. (2021) · Pediatric Obesity · doi:10.1111/ijpo.12782 · Cited by 29
Associations of Contemporary Screen Time Modalities With Early Adolescent Nutrition
Nagata, J. M., Weinstein, S., Bashir, A., Lee, S., Al-shoaibi, A. A. A., Shao, I. Y., Ganson, K. T., Testa, A., He, J., & Garber, A. K. (2024) · Academic Pediatrics · doi:10.1016/j.acap.2024.01.023 · Cited by 12
Hancock, S., Schofield, G., & Zinn, C. (2022) · Nutrients · doi:10.3390/nu14142984 · Cited by 8
Zhang, B., Deng, K., Shen, J., Cai, L., Ratitch, B., Fu, H., & Guan, Y. (2022) · Journal of Medical Internet Research · doi:10.2196/27934 · Cited by 5
Metadata
- Authors
- Livingstone, M. B. E., Robson, P. J., & Wallace, J. M. W.
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2004-10
- Volume
- 92
- Issue
- S2
- Pages
- S213-S222
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2158520883
- Cited by
- 884
- References
- 4
- FWCI
- 7.58
- Type
- journal article
- Language
- en
- Open access
- bronze
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