Joint Categories of Perceived Stress and Subjective Body-Shape Perception and Health-Related Outcomes Among Adolescents

Background: Perceived stress and subjective body-shape perception may jointly characterize health-related conditions during adolescence. This study examined health-related outcomes across joint categories of perceived stress and subjective body-shape perception and compared perceived stress across combinations of objective and subjective weight status. Methods: This cross-sectional study included 1387 adolescents aged 12–18 years from the 2021–2024 Korea National Health and Nutrition Examination Survey. Survey-weighted multivariable logistic regression was used to examine depressive symptoms, poor self-rated health, and alcohol experience across four joint categories defined by perceived stress and self-perceived body shape, with adjustment for age, sex, household income, and body mass index. Objective weight status and self-perceived body shape were also combined into four categories to compare the odds of high perceived stress. Random Forest and SHapley Additive exPlanations (SHAP) analyses were additionally performed as exploratory cross-sectional classification analyses. Results: Compared with the low-stress, self-perceived non-overweight category, the high-stress, self-perceived overweight category showed higher odds of depressive symptoms (AOR = 15.96; 95% CI, 6.52–39.10), poor self-rated health (AOR = 7.55; 95% CI, 3.22–17.73), and alcohol experience (AOR = 3.04; 95% CI, 1.31–7.07). In the objective–subjective weight-status analysis, adolescents with objective non-overweight and self-perceived overweight showed higher odds of high perceived stress than those with concordant non-overweight status (AOR = 1.90; 95% CI, 1.27–2.86). The exploratory Random Forest model showed modest cross-sectional classification performance (ROC-AUC = 0.615; PR-AUC = 0.438), with depressive symptoms showing the largest SHAP contribution among the displayed features. Conclusions: Health-related outcomes differed across joint categories of perceived stress and self-perceived body-shape perception. Adolescents with objective non-overweight but self-perceived overweight also showed higher odds of high perceived stress than those with concordant non-overweight status. These findings highlight the relevance of considering perceived stress, subjective body-shape perception, and objective weight status together when describing adolescent health-related characteristics.

Authors

Institutions

Publication Details

Journal
Children
Published
2026-10-13
DOI
https://doi.org/10.3390/children13101391
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Joint Categories of Perceived Stress and Subjective Body-Shape Perception and Health-Related Outcomes Among Adolescents

Ji Young Lee, Yonghwan Kim, Yoonjung Park, Peng Zhou
Children
Eating Disorders and Behaviors
article

Joint Categories of Perceived Stress and Subjective Body-Shape Perception and Health-Related Outcomes Among Adolescents

Ji Young Lee, Yonghwan Kim, Yoonjung Park, Peng Zhou
article en

Abstract

Background: Perceived stress and subjective body-shape perception may jointly characterize health-related conditions during adolescence. This study examined health-related outcomes across joint categories of perceived stress and subjective body-shape perception and compared perceived stress across combinations of objective and subjective weight status. Methods: This cross-sectional study included 1387 adolescents aged 12–18 years from the 2021–2024 Korea National Health and Nutrition Examination Survey. Survey-weighted multivariable logistic regression was used to examine depressive symptoms, poor self-rated health, and alcohol experience across four joint categories defined by perceived stress and self-perceived body shape, with adjustment for age, sex, household income, and body mass index. Objective weight status and self-perceived body shape were also combined into four categories to compare the odds of high perceived stress. Random Forest and SHapley Additive exPlanations (SHAP) analyses were additionally performed as exploratory cross-sectional classification analyses. Results: Compared with the low-stress, self-perceived non-overweight category, the high-stress, self-perceived overweight category showed higher odds of depressive symptoms (AOR = 15.96; 95% CI, 6.52–39.10), poor self-rated health (AOR = 7.55; 95% CI, 3.22–17.73), and alcohol experience (AOR = 3.04; 95% CI, 1.31–7.07). In the objective–subjective weight-status analysis, adolescents with objective non-overweight and self-perceived overweight showed higher odds of high perceived stress than those with concordant non-overweight status (AOR = 1.90; 95% CI, 1.27–2.86). The exploratory Random Forest model showed modest cross-sectional classification performance (ROC-AUC = 0.615; PR-AUC = 0.438), with depressive symptoms showing the largest SHAP contribution among the displayed features. Conclusions: Health-related outcomes differed across joint categories of perceived stress and self-perceived body-shape perception. Adolescents with objective non-overweight but self-perceived overweight also showed higher odds of high perceived stress than those with concordant non-overweight status. These findings highlight the relevance of considering perceived stress, subjective body-shape perception, and objective weight status together when describing adolescent health-related characteristics.

ChildrenVol. 13(10)
Kangwon National University (KR), Kashi University (CN), University of Houston (US)
Openalex Percentile: Top 8%
Eating Disorders and Behaviors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.