The DOI matches its Crossref record.
The Health Behaviour in School-aged Children (HBSC) study: methodological developments and current tensions
Open accessAbstract
Objectives:To describe the methodological development of the HBSC survey since its inception and explore methodological tensions that need to be addressed in the ongoing work on this and other large-scale cross-national surveys.Methods:Using archival data and conversations with members of the network, we collaboratively analysed our joint understandings of the survey’s methodology.Results:We identified four tensions that are likely to be present in upcoming survey cycles: (1) maintaining quality standards against a background of rapid growth, (2) continuous improvement with limited financial resources, (3) accommodating analysis of trends with the need to improve and adapt questionnaire content, and (4) meeting the differing requirements of scientific and policy audiences.Conclusions:While these challenges are not trivial, the structure of the HBSC network and its long-term experience in working through such challenges renders it likely that HBSC can provide a model of other similar studies facing these tensions.
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
Cited by
The Generation R Study: design and cohort update 2010
Jaddoe, V. W. V., van Duijn, C. M., van der Heijden, A. J., Mackenbach, J. P., Moll, H. A., Steegers, E. A. P., Tiemeier, H., Uitterlinden, A. G., Verhulst, F. C., & Hofman, A. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9516-7 · Cited by 1,027
Social media use and cyber-bullying: A cross-national analysis of young people in 42 countries
Craig, W., Boniel-Nissim, M., King, N., Walsh, S. D., Boer, M., Donnelly, P. D., Harel-Fisch, Y., Malinowska-Cieślik, M., Gaspar de Matos, M., Cosma, A., et al. (2020) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2020.03.006 · Cited by 385
“In light of this background, through a school-based survey of adolescents in 42 countries and regions [28], we investigated age, gender, and cross-national differences in adolescents' engagement in SMU, then relationships between SMU and victimization and the perpetration of cyber-bullying.”
BackgroundMelkevik, O., Torsheim, T., Iannotti, R. J., & Wold, B. (2010) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-7-46 · Cited by 207
Self-citationAdolescent multiple risk behaviour: An asset approach to the role of family, school and community
Brooks, F. M., Magnusson, J., Spencer, N., & Morgan, A. (2012) · Journal of Public Health · doi:10.1093/pubmed/fds001 · Cited by 203
Screen-based activities and physical complaints among adolescents from the Nordic countries
Torsheim, T., Eriksson, L., Schnohr, C. W., Hansen, F., Bjarnason, T., & Välimaa, R. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-324 · Cited by 165
Self-citationGaming Addiction, Gaming Engagement, and Psychological Health Complaints Among Norwegian Adolescents
Brunborg, G. S., Mentzoni, R. A., Melkevik, O. R., Torsheim, T., Samdal, O., Hetland, J., Andreassen, C. S., & Palleson, S. (2013) · Media Psychology · doi:10.1080/15213269.2012.756374 · Cited by 155
Self-citationLoneliness in the lives of Danish adolescents: Associations with health and sleep
Eccles, A. M., Qualter, P., Madsen, K. R., & Holstein, B. E. (2020) · Scandinavian Journal of Public Health · doi:10.1177/1403494819865429 · Cited by 125
Wijnhoven, T. M., van Raaij, J. M., Yngve, A., Sjöberg, A., Kunešová, M., Duleva, V., Petrauskiene, A., Rito, A. I., & Breda, J. (2015) · Public Health Nutrition · doi:10.1017/s1368980015001937 · Cited by 122
Trends in social inequality in loneliness among adolescents 1991–2014
Madsen, K. R., Holstein, B. E., Damsgaard, M. T., Rayce, S. B., Jespersen, L. N., & Due, P. (2019) · Journal of Public Health · doi:10.1093/pubmed/fdy133 · Cited by 96
Cyber and school bullying: Same or different phenomena?
Antoniadou, N., & Kokkinos, C. M. (2015) · Aggression and Violent Behavior · doi:10.1016/j.avb.2015.09.013 · Cited by 85
The role of family and computer-mediated communication in adolescent loneliness
Favotto, L., Michaelson, V., Pickett, W., & Davison, C. (2019) · PLOS ONE · doi:10.1371/journal.pone.0214617 · Cited by 54
Gommans, R., Stevens, G. W. J. M., Finne, E., Cillessen, A. H. N., Boniel-Nissim, M., & ter Bogt, T. F. M. (2015) · International Journal of Public Health · doi:10.1007/s00038-014-0624-0 · Cited by 46
Marengo, N., Borraccino, A., Charrier, L., Berchialla, P., Dalmasso, P., Caputo, M., & Lemma, P. (2021) · Public Health · doi:10.1016/j.puhe.2021.08.010 · Cited by 42
Varghese, N. E., Santoro, E., Lugo, A., Madrid-Valero, J. J., Ghislandi, S., Torbica, A., & Gallus, S. (2021) · Journal of Medical Internet Research · doi:10.2196/20319 · Cited by 38
Li, Q., Luo, Y., Hao, Z., Smith, B., Guo, Y., & Tyrone, C. (2021) · International Journal of Bullying Prevention · doi:10.1007/s42380-020-00071-6 · Cited by 29
RetractedHammami, N., Gobina, I., Lukoševičiūtė, J., Kostičová, M., Lyyra, N., Gariepy, G., Šmigelskas, K., Baban, A., Malinowska-Cieślik, M., & Elgar, F. J. (2023) · Current Psychology · doi:10.1007/s12144-022-03038-6 · Cited by 9
Metadata
- Authors
- the International HBSC Study Group, Roberts, C., Freeman, J., Samdal, O., Schnohr, C. W., de Looze, M. E., Nic Gabhainn, S., Iannotti, R., & Rasmussen, M.
- Venue
- International Journal of Public Health
- Published
- 2009-07-30
- Volume
- 54
- Issue
- S2
- Pages
- 140-150
- ISSN
- 1661-8556 (ISSN-L)
- 1661-8564
- OpenAlex
- W2135424189
- Cited by
- 696
- References
- 0
- FWCI
- 66.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
