Validation of a Novel Perceptual Body Image Assessment Method Using Mobile Digital Imaging Analysis: A...

Area of Science:

• Body Image Research
• Digital Health Technologies
• Body Composition Analysis

Background:

• Mobile digital imaging analysis (DIA) offers automated body composition assessment.
• DIA can alter appearance based on objective body fat percentage (BF%).
• The utility of DIA for body image assessment requires validation.

Purpose of the Study:

• To validate mobile digital imaging analysis (DIA) for body image assessments.
• To explore the relationship between DIA-derived body perceptions and attitudinal body image measures.

Main Methods:

• Participants (N=223) underwent mobile DIA scans and completed the Multidimensional Body Self-Relations Questionnaire-Appearance Scale (MBSRQ-AS).
• Participants used DIA-generated avatars to represent perceived, ideal, and partner-attractive body figures.
• Body image distortion and dissatisfaction were calculated based on BF% differences.

Main Results:

• Females and the total sample perceived their BF% as lower than actual.
• Ideal and partner BF% were significantly lower than perceived BF% across all groups.
• DIA-derived body image metrics were associated with appearance evaluation, body area satisfaction, and weight concerns.

Conclusions:

• Perceptual body image measured by DIA is significantly associated with attitudinal body image.
• DIA may provide a valuable tool for practitioners to quantify body image issues.
• Further research can explore DIA's application in clinical and research settings for body image evaluation.