Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47715
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dc.contributor.authorDemarest, S.-
dc.contributor.authorBruckers, L.-
dc.contributor.authorJanssens , M.-
dc.contributor.authorDrieskens, S.-
dc.contributor.authorCharafeddine, R.-
dc.date.accessioned2025-11-14T08:35:49Z-
dc.date.available2025-11-14T08:35:49Z-
dc.date.issued2025-
dc.date.submitted2025-11-12T15:37:38Z-
dc.identifier.citationEuropean journal of public health, 35 (Supplement_4) (Art N° ckaf1611797)-
dc.identifier.urihttp://hdl.handle.net/1942/47715-
dc.description.abstractin women. Mean level of self-reported BMI was 26.7kg/m2 (26.3-27.2kg/m2) in men and 25.3 kg/m2 (24.8-25.9kg/m2) in women. Conclusions: In 2023-2024, obesity prevalence resulted similar to HES data of 15 and 5 years ago, both in men and women, going in the direction of WHO target. However, 70% of men and 55% of women are in the overweight/obesity condition. Preventive actions at national and community level should be still massively implemented. Significant differences were found between measured and self-reported obesity supporting the WHO recommendation to monitor targets by periodic HESs. Key messages: • A quite stable obesity prevalence trend was observed in comparison to 15 and 5 years ago, but obesity and overweight resulted still prevalent in the Italian adult general population. • Significant differences resulted between measured and self-reported obesity prevalence supporting the WHO recommendation to monitor targets by periodic health examination surveys. Abstract citation ID: ckaf161.1796 Developing a Monitoring System of Overweight and Obesity in Finnish Children health challenges, requiring nationwide, measurement-based monitoring data. Data is needed to plan health policies, health promotion actions, and to evaluate outcome. Finland's register-based system for monitoring childhood overweight and obesity can serve as a model for other countries.-
dc.language.isoen-
dc.publisherOXFORD UNIV PRESS-
dc.titleDetecting Interviewer Fraud in the 2023 Belgian Health Survey: Methods and Implications-
dc.typeJournal Contribution-
dc.identifier.issueSupplement_4-
dc.identifier.volume35-
local.format.pages1-
local.bibliographicCitation.jcatM-
dc.description.notesmanon.janssens@sciensano.be-
local.publisher.placeGREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedMeeting Abstract-
local.bibliographicCitation.artnrckaf1611797-
local.classdsPublValOverrule/internal_author_not_expected-
dc.identifier.doi10.1093/eurpub/ckaf161.1797-
dc.identifier.isi001602380200030-
local.provider.typewosris-
local.description.affiliation[Demarest, S.; Janssens, M.; Drieskens, S.; Charafeddine, R.] Sciensano, Epidemiol & Publ Hlth, Brussels, Belgium.-
local.description.affiliation[Bruckers, L.] Hasselt Univ, Hasselt, Belgium.-
local.uhasselt.internationalno-
item.fullcitationDemarest, S.; Bruckers, L.; Janssens , M.; Drieskens, S. & Charafeddine, R. (2025) Detecting Interviewer Fraud in the 2023 Belgian Health Survey: Methods and Implications. In: European journal of public health, 35 (Supplement_4) (Art N° ckaf1611797).-
item.contributorDemarest, S.-
item.contributorBruckers, L.-
item.contributorJanssens , M.-
item.contributorDrieskens, S.-
item.contributorCharafeddine, R.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1101-1262-
crisitem.journal.eissn1464-360X-
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