The Slim-Thick Ideal: Its Impact on Women's Body Image and Eating, Exercise, and Body Modification Behaviours
Notice bibliographique
Résumé
Past research has widely focused on the impact of idealized images of unrealistically thin or fit women, referred to as the thin- and fit-ideal, on young women’s body image. Recently, a more curvaceous take on the thin-ideal, called the slim-thick-ideal, characterized by a small waist and flat stomach, but large hips, butt, and breasts has gained popularity in mainstream media. Despite an increase in the popularity of this ideal, little is known about the impact of the slim-thick-ideal on women’s body image and which women aspire to this ideal. As such, in three studies I sought to investigate who was likely to aspire to the slim-thick-ideal, and its impact on women’s body image. Study 1 sought to investigate the comparative impact of the slim-thick-ideal on women’s body image, relative to the thin- and fit-ideal, and if physical appearance perfectionism moderated these findings. It was found that exposure to all three body ideals resulted in increased weight and appearance dissatisfaction and lower overall body satisfaction, which was most pronounced for those who saw the slim-thick-ideal, and among those high on physical appearance perfectionism. Study 2 sought to replicate the findings of Study 1, to investigate which body ideal was most preferred among young women, and which personality and behavioural traits were characteristic of women who aspired to each ideal. Study 1 findings were replicated. The slim-thick-ideal was rated as the most attractive and desirable of the three ideals. Those who aspired to the slim-thick-ideal reported greater disordered eating, dietary restraint, physical appearance perfectionism, and body modification behaviours than those who aspired to the thin- or fit-ideal. Study 3 investigated if there was an association between preferred ideal and ethnicity and eating, purging, exercise, and body modification behaviours. Women of colour preferred the slim-thick-ideal most; White women endorsed each ideal in equal proportions. For the most part, there was no association between preferred body ideal and eating, purging, exercise or body modification behaviours, indicating that those who aspire to the slim-thick-ideal are engaging in the same harmful behaviours as those who aspire to the thin- and fit-ideal. Clinical implications are discussed.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».