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dc.contributor.authorHaakstad, Lene Annette Hagen
dc.contributor.authorStensrud, Trine
dc.contributor.authorGjestvang, Christina
dc.date.accessioned2021-12-08T15:29:48Z
dc.date.available2021-12-08T15:29:48Z
dc.date.created2021-08-11T17:21:53Z
dc.date.issued2021
dc.identifier.citationInternational Journal of Environmental Research and Public Health. 2021, 18(16), Artikkel 8502.en_US
dc.identifier.issn1661-7827
dc.identifier.urihttps://hdl.handle.net/11250/2833449
dc.descriptionThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.description.abstractBackground: Data from the research project “Fitness clubs—a venue for public health?” provided an opportunity to evaluate the accuracy of self-reported body weight and height, and subsequent Body Mass Index (BMI), as well as the “trueness” of novice exercisers perception of weight status category, which has not been examined in this population. The aims were to examine self-reported body weight, height, and calculated BMI data from an online survey compared with measured data at fitness club start-up, investigate how accurately novice exercisers place themselves within self-classified weight group (underweight, normal weight, overweight, and obese), and compare this with fitness club attendance at three months follow-up. Methods: Prior to anthropometric measurements, 62 men and 63 women responded to an online questionnaire, including body weight (kilogram, kg) and height (centimeters, cm), and self-classified weight group (“I think I am … underweight, normal weight, overweight, obese”). We used the following statistical analysis: Paired sample t-tests, a Bland–Altman plot kappa statistics, chi-squared tests, and a logistic regression. Results: Mean difference of BMI calculated from self-reported and measured data was 0.06 (95% CI −0.29 to 0.17, p = 0.593) in men, and 0.16 (95% CI −0.40 to 0.09, p = 0.224) in women, with four participants being outliers of the 95% limits of agreement (Bland-Altman plot). Allowing a difference of 0.5 kg between self-reported and measured weight, we found that 16% reported their weight correctly, 31.2% underreported (−1.89 ± 1.59 kg), and 52.8% overreported (1.85 ± 1.23 kg), with no sex differences (p = 0.870). Further, our results suggest that both sexes may have difficulty recognizing overweight/obesity in themselves, and particularly men are likely to underreport their perceived weight group compared with women. More than half (53.3%) of the overweight men perceived themselves to be normal weight (women: 14%), and only 33.3% of obese men and women correctly classified themselves as being obese. We did not find any difference between participants correctly or incorrectly classifying weight group and fitness club attendance (≥2 times a week) at three months follow-up. Conclusion: Both sexes reported body weight and height reasonably accurately, and BMI based on self-report appears to be valid measure. Still, a large proportion of novice exercisers do not recognise their own overweight or obesity status, which may in part explain why public health campaigns do not reach risk populations.en_US
dc.language.isoengen_US
dc.subjectbody mass indexen_US
dc.subjectbody weighten_US
dc.subjectnovice exercisersen_US
dc.subjectself-classified weight groupen_US
dc.subjectvalidationen_US
dc.titleDoes self-perception equal the truth when judging own body weight and height?en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 by the authorsen_US
dc.source.pagenumber12en_US
dc.source.volume18en_US
dc.source.journalInternational Journal of Environmental Research and Public Healthen_US
dc.source.issue16en_US
dc.identifier.doi10.3390/ijerph18168502
dc.identifier.cristin1925418
dc.description.localcodeInstitutt for idrettsmedisinske fag / Department of Sports Medicineen_US
dc.source.articlenumber8502en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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