The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part II: qualitative studies
Open accessAbstract
Large proportions of children do not fulfil the World Health Organization recommendation of eating at least 400 grams of fruit and vegetables (FV) per day. To promote an increased FV intake among children it is important to identify factors which influence their consumption. Both qualitative and quantitative studies are needed. Earlier reviews have analysed evidence from quantitative studies. The aim of this paper is to present a systematic review of qualitative studies of determinants of children's FV intake. Relevant studies were identified by searching Anthropology Plus, Cinahl, CSA illumine, Embase, International Bibliography of the Social Sciences, Medline, PsycINFO, and Web of Science using combinations of synonyms for FV intake, children/adolescents and qualitative methods as search terms. The literature search was completed by December 1st 2010. Papers were included if they applied qualitative methods to investigate 6-18-year-olds' perceptions of factors influencing their FV consumption. Quantitative studies, review studies, studies reported in other languages than English, and non-peer reviewed or unpublished manuscripts were excluded. The papers were reviewed systematically using standardised templates for summary of papers, quality assessment, and synthesis of findings across papers. The review included 31 studies, mostly based on US populations and focus group discussions. The synthesis identified the following potential determinants for FV intake which supplement the quantitative knowledge base: Time costs; lack of taste guarantee; satiety value; appropriate time/occasions/settings for eating FV; sensory and physical aspects; variety, visibility, methods of preparation; access to unhealthy food; the symbolic value of food for image, gender identity and social interaction with peers; short term outcome expectancies. The review highlights numerous potential determinants which have not been investigated thoroughly in quantitative studies. Future large scale quantitative studies should attempt to quantify the importance of these factors. Further, mechanisms behind gender, age and socioeconomic differences in FV consumption are proposed which should be tested quantitatively in order to better tailor interventions to vulnerable groups. Finally, the review provides input to the conceptualisation and measurements of concepts (i.e. peer influence, availability in schools) which may refine survey instruments and theoretical frameworks concerning eating behaviours.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Qualitative research: standards, challenges, and guidelines
Malterud, K. (2001) · The Lancet · doi:10.1016/s0140-6736(01)05627-6 · Cited by 5,014
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
Self-citationFruit and vegetable consumption and stroke: meta-analysis of cohort studies
He, F. J., Nowson, C. A., & MacGregor, G. A. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68069-0 · Cited by 1,108 · cited 1×
“Epidemiological evidence for the health benefits of a diet rich in fruit and vegetables is substantial [1-3].”
BackgroundResisting medicines: a synthesis of qualitative studies of medicine taking
Pound, P., Britten, N., Morgan, M., Yardley, L., Pope, C., Daker-White, G., & Campbell, R. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2004.11.063 · Cited by 868
He, F. J., Nowson, C. A., Lucas, M., & MacGregor, G. A. (2007) · Journal of Human Hypertension · doi:10.1038/sj.jhh.1002212 · Cited by 741
Integrating qualitative research with trials in systematic reviews
Thomas, J., Harden, A., Oakley, A., Oliver, S., Sutcliffe, K., Rees, R., Brunton, G., & Kavanagh, J. (2004) · BMJ · doi:10.1136/bmj.328.7446.1010 · Cited by 515 · cited 2×
“providing the children with fruit [64].”
BackgroundMills, E., Jadad, A. R., Ross, C., & Wilson, K. (2005) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.09.002 · Cited by 374
Bauer, K. W., Yang, Y. W., & Austin, S. B. (2004) · Health Education & Behavior · doi:10.1177/1090198103255372 · Cited by 279
The Challenges of Searching for and Retrieving Qualitative Studies
Barroso, J., Gollop, C. J., Sandelowski, M., Meynell, J., Pearce, P. F., & Collins, L. J. (2003) · Western Journal of Nursing Research · doi:10.1177/0193945902250034 · Cited by 272
Goh, Y.-Y., Bogart, L. M., Sipple-Asher, B. K., Uyeda, K., Hawes-Dawson, J., Olarita-Dhungana, J., Ryan, G. W., & Schuster, M. A. (2009) · Journal of Behavioral Medicine · doi:10.1007/s10865-009-9220-9 · Cited by 140
Cited by
Gourlay, A., Birdthistle, I., Mburu, G., Iorpenda, K., & Wringe, A. (2013) · Journal of the International AIDS Society · doi:10.7448/ias.16.1.18588 · Cited by 399
Gosliner, W. (2014) · Journal of School Health · doi:10.1111/josh.12188 · Cited by 63
Bontrager Yoder, A. B., Foecke, L. L., & Schoeller, D. A. (2015) · Public Health Nutrition · doi:10.1017/s1368980015000385 · Cited by 47
Wolnicka, K., Taraszewska, A. M., Jaczewska-Schuetz, J., & Jarosz, M. (2015) · Public Health Nutrition · doi:10.1017/s1368980015000695 · Cited by 45
Aarestrup, A. K., Jørgensen, T. S., Jørgensen, S. E., Hoelscher, D. M., Due, P., & Krølner, R. (2015) · BMC Public Health · doi:10.1186/s12889-015-1399-9 · Cited by 23
“The differences between pupils’ and teachers’ perception of the quality and appearance of the FV delivered might be explained by the strong emphasis adolescents put on appearance and aesthetics of food [21,50-52].”
BackgroundSelf-citationUsing Herbs and Spices to Increase Vegetable Intake Among Rural Adolescents
Fritts, J. R., Bermudez, M. A., Hargrove, R. L., Alla, L., Fort, C., Liang, Q., Cravener, T. L., Rolls, B. J., D'Adamo, C. R., Hayes, J. E., et al. (2019) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2019.04.016 · Cited by 19
Metadata
- Authors
- Krølner, R., Rasmussen, M., Brug, J., Klepp, K.-I., Wind, M., & Due, P.
- Venue
- International Journal of Behavioral Nutrition and Physical Activity
- Published
- 2011
- Volume
- 8
- Issue
- 1
- Pages
- 112
- ISSN
- 1479-5868 (ISSN-L)
- OpenAlex
- W4229814720
- Cited by
- 368
- References
- 11
- FWCI
- 12.05
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.