2014
DOI: 10.2147/ppa.s69586
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Quantification of wear-time adherence of removable appliances in young orthodontic patients in relation to their BMI: a preliminary study

Abstract: PurposeThe relationship between unhealthy body mass index (BMI) and adherence to orthodontic treatment with removable appliances has not previously been evaluated.ObjectiveThe aim of this study was to quantify the association between BMI and wear time of removable orthodontic appliances and to evaluate BMI changes during orthodontic treatment.Patients and methodsFifty-three normal-weight and 39 overweight/obese children and adolescents (7–15 years old) undergoing orthodontic treatment with removable appliances… Show more

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Cited by 14 publications
(40 citation statements)
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“…Although no clear consensus exists, the best-accepted definition for clinically important weight loss is approximately 5% over 6–12 months. [ 15 16 ] Schott and Ludwig[ 17 ] found that the orthodontic treatment of young patients with removable appliances showed qualitative decrease in BMI over a period of 6 to 36 months.…”
Section: Discussionmentioning
confidence: 99%
“…Although no clear consensus exists, the best-accepted definition for clinically important weight loss is approximately 5% over 6–12 months. [ 15 16 ] Schott and Ludwig[ 17 ] found that the orthodontic treatment of young patients with removable appliances showed qualitative decrease in BMI over a period of 6 to 36 months.…”
Section: Discussionmentioning
confidence: 99%
“…Many studies have investigated suitable methods for measuring a patient’s removable appliance wear time, 14 , 15 so quantifying patient compliance over the whole therapy period can routinely be performed in an orthodontic office. 16 18 However, few studies have researched the factors that predict compliance with retainer use or interventions that improve compliance with removable appliances or retainers. 13 Patient compliance was found to be influenced by psychological and sociodemographic traits.…”
Section: Introductionmentioning
confidence: 99%
“…The risk of bias in individual studies (Jayachandran et al, 2017; Saloom et al, 2017, 2018; Schott and Ludwig, 2014; von Bremen et al, 2013, 2016, 2018) was assessed by two authors (ZA and FJ) using the Risk of Bias In Non-randomised Studies (ROBINS-I) assessment tool. This tool assesses the bias in five domains including potential confounding, selection, classification, attrition and reporting bias (Sterne et al, 2016).…”
Section: Methodsmentioning
confidence: 99%