Sosyal Medya Bağımlılığının Premenstruel Sendrom ve Uyku Kalitesine Etkisi

Year 2023, , 739 - 745, 31.12.2023

Zeliha Özşahin , Sinem Güven Santur , Yeşim Aksoy Derya

https://doi.org/10.54005/geneltip.1320345

Abstract

Amaç: Araştırma sosyal medya bağımlılığının premenstruel sendrom ve uyku kalitesine etkisini belirlemek amacıyla yapılmıştır.
Gereç-Yöntem: Kesitsel olarak yürütülen araştırmanın evrenini bir kamu üniversitesine bağlı Sağlık Bilimleri Fakültesi’nde eğitim gören kız öğrenciler oluşturmuştur (n=884). Araştırma verileri “Kişisel Tanıtım Formu”, “Sosyal Medya Bağımlılığı Ölçeği (SMBÖ)”, “Premenstruel Sendrom Ölçeği (PMSÖ)”, “Pittsburgh Uyku Kalite İndeksi (PUKİ)” araçları ile elde edilmiştir. İstatistiksel değerlendirmede tanımlayıcı istatistikler, pearson korelasyon ve linear regresyon analizi kullanılmıştır.
Bulgular: Öğrencilerin yaş ortalaması 20.40±1.65 ve menarş yaş ortalaması 13.42±1.60’dır. Öğrencilerdeki PMSÖ toplam puan ortalaması 129.57±37.75, SMBÖ toplam puan ortalaması 12.93±4.84, SM puan ortalaması 13.22 ± 2.04’’dir. Korelasyon analizi sonucunda SMBÖ ile PMSÖ ve PUKI toplam puan ortalamaları arasında pozitif yönde bir ilişki olduğu saptanmıştır (r=.325 p=.000; r=271, p=.000). Ayrıca yapılan regresyon analizi sonucunda sosyal medya bağımlılığı ölçeği puanındaki 1 birimlik bir değişim premenstrual sendrom ölçeği toplam puanı üzerinde pozitif yönde .325 birimlik (β), PUKİ toplam puanı üzerinde pozitif yönde 0.444 birimlik (β) bir artışa neden olmaktadır.
Sonuç: Sosyal medya bağımlılığının premenstrual sendrom semptomlarını ve kötü uyku kalitesini arttırmada etkili bir değişken olduğu belirlenmiştir.

Keywords

Premenstruel Sendrom, Sosyal Medya Bağımlılığı, Uyku Kalitesi

The Effect of Social Media Addiction on Premenstruel Syndrome and Sleep Quality

Abstract

Objective: This study was conducted to determine the impact of social media addiction on premenstrual syndrome (PMS) and sleep quality.
Material-Method: The study population consisted of female students enrolled in the Health Sciences Faculty of a public university (n=884). Data were collected using the "Personal Information Form," "Social Media Addiction Scale (SMAS)," "Premenstrual Syndrome Scale (PMSS)," and "Pittsburgh Sleep Quality Index (PSQI)" instruments. Descriptive statistics, Pearson correlation analysis and Linear Regression Analysis were used for statistical evaluation.
Results: The mean age of the students was 20.40±1.65, and the mean age of menarche was 13.42±1.60. The mean total score for PMSS was 129.57±37.75, the mean total score for SMAS was 12.93±4.84, and the mean score for PSQI was 13.22±2.04. The correlation analysis revealed a positive relationship between SMAS and the total scores of PMSS and PSQI (r=.325, p=.000; r=271, p=.000). In addition, as a result of the regression analysis, a 1-unit change in the social media addiction scale score causes a positive increase of .325 units (β) on the total score of the premenstrual syndrome scale and a positive increase of 0.444 units (β) on the total score of the PSQI.
Conclusion: Social media addiction was found to be an effective variable in increasing premenstrual syndrome symptoms and poor sleep quality.

Keywords

Premenstrual Syndrome, Social Media Addiction, Sleep Quality

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