Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Self-rated health (SRH) is crucial for predicting morbidity and mortality across age groups, including adolescents and adults. Body image dissatisfaction, measured by difference between current and ideal weight, surpasses body mass index (BMI) in predicting health outcomes. We evaluated the correlation between body image perception and SRH among middle and high school students in Korea.Methods: This study comprised of 51,850 students aged 12–18 years who participated in the 2022 Korea Youth Risk Behavior Survey. Subjective health status was categorized into ‘good’ or ‘poor’ groups. Body image was classified into ‘underweight,’ ‘normal,’ or ‘overweight.’ BMI was determined using age-specific percentiles: underweight (<5th percentiles), overweight (85th–95th percentiles), and obese (>95th percentiles). Data analysis was performed by multivariable logistic analysis and adjusted for depressive mood, stress, and socioeconomic status.Results: The total participants (N=50,455) included 59.4% with normal weight according to BMI, only 36.4% perceived themselves as normal. Students who perceived themselves as having a normal weight had higher rates of good SRH compared to others. Excluding females with BMI ≥25 kg/m2, both sex showed higher odds ratios [ORs] for poor SRH when perceiving themselves overweight (male: OR=2.57, 95% confidence interval [95% CI]=2.367–2.782; female: OR=1.36, 95% CI=1.270–1.452) or underweight (male: OR=1.64, 95% CI=1.507–1.791; female: OR=1.36, 95% CI=1.256–1.472).Conclusions: More than half of the students responded negatively to their body image, associated with poor subjective health status. Therefore, promoting accurate body weight perceptions will play a positive role in overall health of adolescents.
Authors: Yoonsoo SUNG, Jung Ah LEE, Sung SUNWOO
Institutions: Asan Medical Center, University of Ulsan
Language: English
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W7117537650