Obez Erkeklerde Akıllı Telefon Bağımlılığının Uyku Kalitesi ve Obezite Düzeyi Üzerine Etkisi

Abstract

Amaç: Obez erkeklerde akıllı telefon bağımlılığının uyku kalitesi ve beden kitle indeksi üzerine etkisini araştırmak Yöntem : Çalışma süresi içerisinde hastaneye başvuran ve çalışmaya katılmayı kabul eden obezite nedeniyle takipli 18-45 yaş arasında 90 erkek alınmıştır. Çalışmada hastaların demogrofik özellikleri, Akıllı Telefon Bağımlılığı Ölçeği (ATBÖ), Pitssburgh Uyku Kalitesi Indeksi (PUKİ) ve Hastane Anksiyete-Depresyon Ölçeği (HADÖ) kullanılarak uyku kalitesi ve etki eden faktörler istatistiksel olarak değerlendirilmiştir. Bulgular: Hastalar PUKİ sonucuna göre PUKİ ≥5 n:51 (%56,7) ve PUKİ <5 n:39 (%43,3) olarak 2 gruba ayrıldı. PUKİ sonuçları ile yaş, BMI, eğitim durumu, ATBÖ, HADÖ-A ve HADÖ-D arasındaki ilişki incelendi. Uyku kalitesi bozuk olan grupta ATBÖ, HADÖ-A ve HADÖ-D puanları daha yüksek bulunmuştur (p<0,001). Ayrıca akıllı telefon bağımlılık ölçeği puanı yüksek olmasının PUKİ ≥5 varlığını 12 kat artırdığı görülmüştür. ATBÖ yüksek olanlarda BMI değerlerinin daha yüksek olduğu bulunmuştur (p< 0,030). Sonuç: Kötü uyku kalitesi ve akıllı telefon bağımlılığı obezlerde BMI etkilediği görülmektedir. Uyku kalitesini iyileştirmeye yönelik çalışmalar, değiştirilebilir risk faktörlerinin belirlenmesi, önleme programı tasarımının iyileştirilmesi, genç populasyonda obezite prevalansının azaltılması için çok önemlidir.

Keywords

• Uyku kalitesi
• obezite
• akıllı telefon bağımlılığı
• depresyon
• anksiyete

The effects of smartphone addiction on sleep quality and obesity level in obese men

Abstract

Aims: To investigate the effects of smartphone addiction on sleep quality and body mass index (BMI) values in obese men. Methods: During the study period, 90 men aged 18 to 45 years who were monitored for obesity, presented to the hospital, and agreed to participate in the study were recruited. The study statistically evaluated sleep quality and factors affecting it using patient demographic characteristics, the Pittsburgh Sleep Quality Index (PSQI), the Smart Phone Addiction Scale (SPAS), and the Hospital Anxiety-Depression Scale (HADS). Results: Patients were divided into two groups according to PSQI score: PSQI ≥5 n:51 (56.7%) and PSQI <5 n:39 (43.3%). The association between PSQI scores and age, body mass index (BMI), educational status, HADS-A, and HADS-D, SPAS, was examined. HADS-A, and HADS-D, SPAS scores were higher in the group with poor sleep quality (p<0.001). In addition, a high smartphone addiction score was found to increase the presence of PSQI ≥5 12-fold. It was shown that BMI values were higher in patients with high SPAS (p< 0.030). Conclusion: Poor sleep quality and smartphone addiction appear to influence BMI in obese individuals. Studies to improve sleep quality are very important to identify modifiable risk factors, improve the design of prevention programs, and reduce the prevalence of obesity in the young population.

Keywords

• Sleep quality
• obesity
• smartphone addiction
• depression
• anxiety

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