Hubungan antara Indeks Massa Tubuh dengan Kejadian Excessive Daytime Sleepiness pada Mahasiswa Fakultas Kedokteran Universitas Muhammadiyah Surabaya

Mumtaza, Nahed Izzati (2026) Hubungan antara Indeks Massa Tubuh dengan Kejadian Excessive Daytime Sleepiness pada Mahasiswa Fakultas Kedokteran Universitas Muhammadiyah Surabaya. Undergraduate thesis, Universitas Muhammadiyah Surabaya.

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Abstract

Latar belakang : Indeks Massa Tubuh (IMT) merupakan indikator untuk menilai status gizi dengan mengetahui kategori seseorang, yaitu underweight, normal, overweight, obesitas 1 dan obesitas 2. Peningkatan IMT diketahui dapat mempengaruhi kualitas tidur dan meningkatkan Risiko gangguan tidur. Salah satu dampak yang dapat muncul akibat gangguan tidur adalah Excessive Daytime Sleepiness (EDS) yang merupakan kondisi ketika seseorang merasa kantuk secara berlebihan yang dapat mempengaruhi performa akademik dan aktivitas mahasiswa. Tujuan : Mengetahui hubungan antara indeks massa tubuh dengan kejadian Excessive Daytime Sleepiness pada mahasiswa Fakultas Kedokteran Universitas Muhammadiyah Surabaya. Metode : Penelitian ini menggunakan metode analitik observasional dengan rancangan cross-sectional. Sampel penelitian berjumlah 165 mahasiswa Fakultas Kedokteran Universitas Muhammadiyah Surabaya yang dipilih menggunakan teknik purposive sampling. Status gizi diukur menggunakan indeks massa tubuh berdasarkan pengukuran antropometri, sedangkan EDS diukur menggunakan kuesioner Epworth Sleepiness Scale (ESS). Analisis data dilakukan secara univariat dan bivariat menggunakan uji Spearman dengan tingkat signifikansi p<0,05. Hasil : Hasil analisis hubungan antara IMT dan EDS menunjukkan nilai koefisien korelasi (r) sebesar 0,039 dengan nilai signifikansi p=0,615 (p>0,05). Kesimpulan : Tidak terdapat hubungan yang signifikan antara indeks massa tubuh dengan kejadian Excessive Daytime Sleepiness pada mahasiswa Fakultas Kedokteran Universitas Muhammadiyah Surabaya. Aktivitas fisik merupakan faktor yang berhubungan signifikan dengan kejadian EDS.

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Background : Body Mass Index (BMI) is an indicator used to assess nutritional status by determining a person's category, such as underweight, normal, overweight, obesity 1, and obesity 2. An increase in BMI is known to affect sleep quality and raise the risk of sleep disorders. One issue that can arise from sleep disorders is Excessive Daytime Sleepiness (EDS), which is a condition where someone feels overly sleepy and it can impact a student's academic performance and activities.. Objective : Knowing the relationship between body mass index and the occurrence of Excessive Daytime Sleepiness in students of the Faculty of Medicine at Muhammadiyah University of Surabaya. Methods : This study used an observational analytical method with a cross-sectional design. The study sample consisted of 165 medical students from Muhammadiyah University of Surabaya, selected using purposive sampling. Nutritional status was measured using the body mass index based on anthropometric measurements, while EDS was measured using the Epworth Sleepiness Scale (ESS) questionnaire. Data analysis was done univariately and bivariately using the Spearman test with a significance level of p<0.05. Results : The analysis of the relationship between BMI and EDS showed a correlation coefficient (r) of 0.039 with a significance value of p=0.615 (p>0.05). Conclusion : There is no significant relationship between body mass index and the occurrence of Excessive Daytime Sleepiness in students of the Faculty of Medicine at Universitas Muhammadiyah Surabaya. Physical activity is a factor that is significantly related to the occurrence of EDS.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Indeks Massa Tubuh, Excessive Daytime Sleepiness, ESS, Mahasiswa Kedokteran
Subjects: Q Science > QP Physiology
R Medicine > RC Internal medicine
Divisions: 05. Fakultas Kedokteran > Pendidikan Dokter
Depositing User: NAHED IZZATI MUMTAZA
Date Deposited: 09 Jul 2026 06:33
Last Modified: 09 Jul 2026 06:33
URI: https://repository.um-surabaya.ac.id/id/eprint/12783

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