Electronic Theses and Dissertation

Gangguan siklus menstruasi merupakan salah satu masalah kesehatan reproduksi yang sering dialami oleh wanita usia produktif. Ketidakteraturan siklus dapat dipengaruhi oleh indeks massa tubuh (IMT) dan faktor metabolik seperti kadar glukosa darah yang berperan dalam keseimbangan hormon reproduksi. Penelitian ini bertujuan untuk mengetahui hubungan antara KGD dan IMT dengan siklus menstruasi pada mahasiswi Pendidikan Dokter USK. Jenis penelitian analitik observasional dengan pendekatan cross sectional. Sampel penelitian adalah mahasiswi Pendidikan Dokter angkatan 2022, 2023 dan 2024 dengan jumlah sampel 249 orang dengan teknik quota sampling dari tanggal 8-16 September 2025. Pengumpulan data siklus menstruasi diperoleh dengan pengisian gform diary menstruasi. Pengukuran KGD dan IMT dilakukan secara langsung. Hasil penelitian menunjukkan KGD normal sebesar 61,8%, prediabetes sebesar 25,3% dan diabetes sebesar 12,9%. Indeks massa tubuh normal yaitu 44,6% dan IMT abnormal (berat badan kurang, lebih dan obesitas I-II) sebesar 55,4%. Siklus menstruasi normal yaitu 57% dan siklus menstruasi abnormal (frekuen, infrekuen dan amenorea) sebesar 43%. Hasil uji Spearman Rank menunjukkan KGD normal memiliki siklus menstruasi normal sebesar 71,4%. Indeks massa tubuh normal dengan siklus menstruasi normal sebesar 75,7%. Kadar glukosa darah dengan siklus menstruasi memiliki nilai p 0,022 (p

Menstrual cycle disorders are one of the reproductive health problems commonly experienced by women of reproductive age. Cycle irregularities may be influenced by body mass index (BMI) and metabolic factors such as blood glucose levels, which play a role in maintaining hormonal balance in the reproductive system. This study aimed to determine the relationship between blood glucose levels and BMI with the menstrual cycle among medical students at Universitas Syiah Kuala. This research employed an analytical observational design with a cross-sectional approach. The sample consisted of 249 medical students from the class of 2022, 2023, and 2024, selected using quota sampling between September 8–16 2025. Menstrual cycle data were collected using an online menstrual diary form, while blood glucose levels and BMI were measured directly. The results showed that 61.8% of respondents had normal blood glucose levels, 25.3% were prediabetic, and 12.9% were categorized as diabetic. Meanwhile, 44.6% had normal BMI, and 55.4% had abnormal BMI (underweight, overweight, and obesity class I–II). Normal menstrual cycles were found in 57% of respondents, while 43% experienced abnormal cycles (frequent, infrequent, or amenorrhea). The Spearman Rank test indicated that respondents with normal blood glucose levels predominantly had normal menstrual cycles (71.4%). Respondents with normal BMI also mostly experienced normal menstrual cycles (75.7%). The correlation analysis showed a significant relationship between blood glucose levels and menstrual cycle (p = 0.022; rs = 0.145), where higher blood glucose levels were associated with a greater likelihood of menstrual irregularities. BMI was also significantly associated with menstrual cycle (p = 0.038; rs = 0.132), indicating that abnormal BMI increases the risk of menstrual irregularities. Ordinal logistic regression demonstrated that the relationship between BMI and menstrual cycle was stronger than that of blood glucose levels. Keywords: Blood Glucose Level, BMI, Menstrual Cycle, Female Medical Students.