Introduction: Menstrual cycle disturbance is the sign of a reproductive health problem, yet the cause tends to be multifactorial. This study aimed to analyze the risk factors of menstrual cycle disturbance which related to nutrition status among college students.Methods: This was an observational analytical study with a cross-sectional approach. There were 59 participants taken as samples according to inclusion criteria using proportionate stratified random sampling. Data were analyzed with chi-square and multiple logistic regression test.Results: Results found that 35.6% of participants experienced menstrual cycle disturbance. Bivariate analysis showed significant correlation between body fat percentage (p= 0.038, OR: 2.417) and waist circumference (p= 0.003, OR: 2.956) with menstrual cycle disturbance, otherwise no correlation found between Body Mass Index (BMI) (p= 0.052, OR: 2.145), subcutaneous fat thickness (p= 1, OR: 1.279), and total cholesterol levels (p= 1, OR: 1.063) with menstrual cycle disturbance. Multiple logistic regression analysis showed that waist circumference became determinant factor among other variables predicting menstrual cycle disturbance in this study (p= 0.002, OR: 7.260).Conclusion: Waist circumference and body fat percentage were both risk factors of menstrual cycle disturbance, yet waist circumference was found being a determinant predictor to predict menstrual cycle disturbance among college student. Female students may pay particular attention to their waist circumference for detection of reproductive health problem earlier, especially regarding menstruation cycle disturbance.
Recently, the high rate of C-section is caused by obstetric indications and large number of elderly pregnant patients with maternal complications and fetal continuous monitoring use. C-section has higher risk of complication than vaginal delivery. Some post obstetric surgery complications require aggressive measures such as relaparotomy on critical conditions that cause morbidity.This retrospective study will analyze the profile of post-obstetric surgery referrals with surgical complications to Dr. Soetomo General Teaching Hospital. The records were total sampling according to inclusion and exclusion criteria using medical record data in 2019-2020.There were 27 cases of post-obstetric surgery referrals with surgical complications from all 70 post-obstetric surgery referrals (38.5%)-most referrals from outside Surabaya by private hospitals. Most patients were in 21-35 years (74%), 51.85% multiparity, only 18.5% with obesity. Most of the patients came with hypovolemic shock and complications of thrombocytopenia, prolonged haemostasis, and acute renal impairment. Most common indications for referrals are internal bleeding and postpartum hemorrhage. Operations at the referring hospital were performed emergency in 77.7% of cases. The most indications for surgery that increased the risk of relaparotomy were previous C-sections and the arrest of labors. Relaparotomy was performed in 23 cases (83.1%), most common findings were bleeding from the corner stitch of uterine incision and retroperitoneal hematoma. Most common procedures during relaparotomy were hysterectomy 42.42% and vascular ligation 30.3%.Relaparotomy on post obstetric surgery referrals was performed in patients with suspicion of internal bleeding due to bleeding from corner stitch of uterine incision and indications for surgery that were risk factors for relaparotomy were previous caesarean section and arrest of labors
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.