J. Med. Internet Res. - How accurate is web-based self-reported height, weight, and body mass index in young adults?

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Resumo

CKGROUND: Web-based approaches are an effective and convenient medium to deliver eHealth interventions. However, few studies have attempted to evaluate the accuracy of online self-reported weight, and only one has assessed the accuracy of online self-reported height and body mass index (BMI).OBJECTIVE: This study aimed to validate online self-reported height, weight, and calculated BMI against objectively measured data in young Australian adults.METHODS: Participants aged 18-35 years were recruited via advertisements on social media sites and reported their current height and weight as part of an online survey. They then subsequently had the same measures objectively assessed by a trained researcher.RESULTS: Self-reported height was significantly overestimated by a mean of 1.36 cm (SD 1.93; P<.001), while self-reported weight was significantly underestimated by -0.55 kg (SD 2.03; P<.001). Calculated BMI was also underestimated by -0.56 kg/m(2) (SD 0.08; P<.001). The discrepancy in reporting resulted in the misclassification of the BMI category of three participants. Measured and self-reported data were strongly positively correlated (height: r=.98, weight: r=.99, BMI: r=.99; P<.001). When accuracy was evaluated by BMI category and gender, weight remained significantly underreported by females (P=.002) and overweight/obese participants (P=.02).CONCLUSIONS: There was moderate to high agreement between self-reported and measured anthropometric data. Findings suggest that online self-reported height and weight can be a valid method of collecting anthropometric data.

Resumo Limpo

ckground webbas approach effect conveni medium deliv ehealth intervent howev studi attempt evalu accuraci onlin selfreport weight one assess accuraci onlin selfreport height bodi mass index bmiobject studi aim valid onlin selfreport height weight calcul bmi object measur data young australian adultsmethod particip age year recruit via advertis social media site report current height weight part onlin survey subsequ measur object assess train researcherresult selfreport height signific overestim mean cm sd p selfreport weight signific underestim kg sd p calcul bmi also underestim kgm sd p discrep report result misclassif bmi categori three particip measur selfreport data strong posit correl height r weight r bmi r p accuraci evalu bmi categori gender weight remain signific underreport femal p overweightobes particip pconclus moder high agreement selfreport measur anthropometr data find suggest onlin selfreport height weight can valid method collect anthropometr data

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