Premenstrual Sendromu Olan Kadınlarda Yeme Bağımlılığı: Bulmacanın Yeni Parçası

Amaç: Bu kesitsel çalışma premenstrual sendrom (PMS) ve yeme bağımlılığı arasındaki ilişkiyiincelemek amacı ile yapıldı. Gereç ve Yöntem: Araştırmanın verileri Mart 2020-Haziran 2020 tarihleri arasında toplandı. Araştırmanın örneklemini 20-45 yaşlarında olan, İzmir’de yaşayan, gebe/emzikli olmayan ve postmenopozal dönemde bulunmayan 155 kadın oluşturdu. Veriler sosyo-demografik özelliklere dair soruların, Premenstrual Sendrom Ölçeği’nin ve Yale Yeme Bağımlılığı Ölçeği’nin yer aldığı bir anket formu ile toplandı. Bulgular: Katılımcıların yaş ortalaması 23,32±5,13 yıldı, %89,7’si bekârdı ve %65,2’si ortaöğretim (lise) mezunuydu. Premenstrual Sendrom Ölçeği toplam puan ortalaması 121,68±37,96 olarak bulundu ve kadınların %61,3’ünde PMS varlığı saptandı. Beden Kütle İndeksine (BKİ) göre %16,1’i zayıf, %71,6’sı normal vücut ağırlığında, %9,7’si fazla kilolu ve %2,6’sı şişmandı. BKİ sınıflandırmaları ile PMS arasındaki ilişkinin istatistiksel olarak önemli olduğu tespit edildi (p

Food Addiction in Women with Premenstrual Syndrome: New Piece of the Puzzle

Objective: This cross-sectional study was conducted to examine the relationship between premenstrual syndrome (PMS) and food addiction. Materials and Methods: The data of the study were collected between March 2020 and June 2020. The sample of the study consisted of 155 women who were 20-45 years old, living in Izmir, not pregnant/breastfeeding and not in postmenopausal period. The data were collected with a questionnaire form including questions about socio-demographic characteristics, Premenstrual Syndrome Scale, and Yale Food Addiction Scale. Results: Mean age of the participants was 23.32±5.13 years, 89.7% of them were single and 65.2% were graduated from secondary education (high school). Mean total score of Premenstrual Syndrome Scale was found to be 121.68±37.96 and 61.3% of the women had PMS. According to Body Mass Index (BMI), 16.1% were underweight, 71.6% were normal body weight, 9.7% were overweight, and 2.6% were obese. It was found that the relationship between BMI classifications and PMS was statistically significant (p

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