Browsing by Author "Karki, PK"
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Publication Assessment of Obesity Indices in Predicting Hyperglycemia in Adults of Duwakot, Bhaktapur(Kathmandu University, 2025) Khakurel, G; Gautam, K; Karki, PK; Chalise, SABSTRACT Background Obesity is a major risk factor for metabolic disorders, including hyperglycemia, which is a precursor to diabetes. Various obesity indices, such as Body Mass Index (BMI), Waist Circumference (WC) and Waist-to-Height Ratio (WHtR), are used to assess adiposity. Objective To evaluate and compare the effectiveness of obesity indices in predicting hyperglycemia among adults in Duwakot, Bhaktapur. Method This was a cross-sectional study conducted among 128 adults visiting Kathmandu Medical College Public Limited, Duwakot from August 2024 to January 2025. Anthropometric measurements (BMI, WC and WHtR) were recorded, and fasting blood glucose (FBG) levels were measured to define hyperglycemia (FBG ≥ 126 mg/ dL). Pearson correlation was used to evaluate the relationship between obesity indices and FBG levels, while an independent t-test compared the mean values between males and females. The predictive ability of obesity indices was assessed using Receiver Operating Characteristic (ROC) curve analysis, and the area under the curve (AUC) and optimal cut-off values were determined. Values of p≤0.05 were considered statistically significant. Result The prevalence of hyperglycemia among the participants was 17.2 %. Pearson correlation analysis showed that FBG was significantly correlated with WC (Male: r = 0.233, p < 0.05; Female: r = 0.459, p < 0.05), and WHtR (Male: r = 0.227, p < 0.05; Female: r = 0.482, p < 0.05). Independent t-test analysis revealed a statistically significant difference in WC (p = 0.025) and WHtR (p = 0.014), with males having higher WC and females having higher WHtR. However, BMI (p = 0.179) did not show a significant difference between the two groups. ROC curve analysis revealed that WHtR had the highest AUC (Male:0.607, Female:0.721), followed by WC and BMI. Conclusion This study found that WHtR was the strongest predictor of hyperglycemia, followed by WC, and BMI. WHtR could be an effective screening tool for early hyperglycemia detection in community settings. KEY WORDS Hyperglycemia, Predictive value, Obesity indicesPublication Prevalence and risk factors of postpartum depression in mothers attending child immunization clinic of a Teaching Hospital in Kathmandu(Institute of Medicine, 2018) Khakurel, G; Chalise, P; Karki, PK; Mahotra, NBAbstract Introduction: Postpartum depression is a major health problem in developing countries like Nepal. The objective of this study was to determine the prevalence and risk factors of postpartum depression in Nepalese women. Methods: This was a cross sectional study conducted in Kathmandu Medical College and Teaching Hospital during the month of January-May 2018. A total number of 162 women in 4 to 14 weeks postpartum period were included in the study. A questionnaire with sociodemographic, obstretic and psychosocial variable as well as the Edinburgh Postnatal Depression Scale was used for data collection. Chi square test was used to determine the association of postpartum depression with different variables. Results: The prevalence of postpartum depression (defined as Edinburgh Postnatal Depression Scale ≥12) was found to be 22.2 %. There was a statistically significant association of postpartum depression with nuclear family, low family income, cesarean section delivery, history of miscarriage, pregnancy complications and exposure to domestic violence. Conclusion: There is high prevalence of postpartum depression among women in our settings. It is important to educate the women and their family about the outcomes of postpartum depression. Keywords: Nepal, Postpartum depression