The Relationships Between Weight Bias, Perceived Weight Stigma, Eating Behavior, and Psychological Distress Among Undergraduate Students in Hong Kong
| Autor: | Chung Ying Lin, Shu Mei Wang, Man Yan Cheng, Yuk Ching Man, Hiu Tung Luk, Yin Ying Lam |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Social stigma Adolescent Universities Cross-sectional study Social Stigma Self-concept Stigma (botany) 030209 endocrinology & metabolism Overweight 03 medical and health sciences Young Adult 0302 clinical medicine Surveys and Questionnaires medicine Body Image Humans 030212 general & internal medicine Young adult Students Stereotyping Body Weight nutritional and metabolic diseases Feeding Behavior Self Concept Psychiatry and Mental health Cross-Sectional Studies Anxiety Hong Kong Female medicine.symptom Psychology Body mass index Stress Psychological Clinical psychology |
| Zdroj: | The Journal of nervous and mental disease. 206(9) |
| ISSN: | 1539-736X |
| Popis: | Weight bias issues are rarely discussed in Asian. Therefore, we examined the relationships between weight bias, perceived weight stigma (PWS), eating behavior, and psychological distress among Hong Kong people. Using cross-sectional design, 400 undergraduate students (175 men) completed questionnaires and were assigned into a self-reported overweight (n = 61) or nonoverweight group (n = 339) using body mass index, and a self-perceived overweight (n = 84) or nonoverweight group (n = 316) based on self-perception. For self-reported and self-perceived overweight groups, more weight bias was related to higher depression (β = -0.403; p = 0.004). Self-perceived group additionally showed that weight bias was related to PWS and inappropriate eating behaviors; PWS related to inappropriate eating behaviors. For self-reported and self-perceived nonoverweight groups, weight bias was related to PWS, inappropriate eating behaviors, anxiety, and depression (β = -0.228 to -0.148; p's < 0.05); PWS was associated with inappropriate eating behaviors, anxiety, and depression. Thus, weight bias issues should not be ignored for both overweight and nonoverweight people. |
| Databáze: | OpenAIRE |
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