尼泊尔护生人体测量指标与月经异常的关系:一项横断面研究

IF 3.8 Q2 ENDOCRINOLOGY & METABOLISM
K. Amgain, Prativa Subedi, G. Yadav, Sujana Neupane, S. Khadka, S. Sapkota
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Univariable and multivariable regression models were calculated at 95% confidence interval and a P value of 0.05 using a Statistical Package for Social Sciences, IBM SPSS® v21 (IBM, Armonk, New York). Results Out of 240 participants, 52 participants (21.67%) were underweight (<18.5 kg/m2), and 47 participants (19.58%) were either overweight (≥23 kg/m2) or obese (≥25 kg/m2). Overweight and obese BMI was associated with abnormality in menstrual cycle length (AOR = 4.24; 95% CI = 1.77–10.17), duration of the menstrual period (AOR = 2.52; 95% CI = 1.09–5.81), and periodic menstrual blood loss (AOR = 9.04; 95% CI = 3.55–23.01). Increase in WHtR (>0.5) was associated with abnormal cycle length (AOR = 3.09; 95% CI = 1.09–8.80) and abnormal period duration (AOR = 3.05; 95% CI = 1.10–8.44). An increase in WHR (>0.8) was associated with abnormal cyclical menstrual blood loss (AOR = 4.93; 95% CI = 1.55–15.71). Conclusions Obesity predisposes to menstrual irregularities. 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引用次数: 2

摘要

据报道,肥胖与月经异常有关,包括月经周期长度、持续时间和月经失血异常。然而,哪个人体测量参数是一个更好的月经异常的标志尚不清楚。本研究旨在探讨BMI、腰臀比(WHR)、腰高比(WHtR)与月经异常的关系。方法采用横断面研究方法,对尼泊尔两所护理学院的240名护生进行调查。通过面对面访谈技术收集参与者的人口统计学和月经特征相关数据,然后进行人体测量。采用二元logistic回归研究BMI、腰臀比和腰臀比与月经特征的关系。单变量和多变量回归模型采用IBM SPSS®v21 (IBM, Armonk, New York)社会科学统计软件包,以95%置信区间和P值0.05计算。结果240名受试者中,52名(21.67%)体重不足(0.5)与异常周期长度相关(AOR = 3.09;95% CI = 1.09-8.80)和异常期持续时间(AOR = 3.05;95% ci = 1.10-8.44)。WHR升高(>.8)与异常周期性月经失血量相关(AOR = 4.93;95% ci = 1.55-15.71)。结论肥胖易导致月经不规律。BMI是一个更好的预测月经不规律的指标,因为BMI的增加与月经周期长度、经期持续时间和失血异常有关。腰宽比增加仅与周期性失血有关。WHtR增加与异常周期长度和月经持续时间有关,但与月经出血量无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Anthropometric Indices with Menstrual Abnormality among Nursing Students of Nepal: A Cross-Sectional Study
Introduction Obesity has been reported to be linked with menstrual abnormalities including abnormality in cycle length, duration, and period blood loss. However, which anthropometric parameter is a better marker of menstrual abnormality is yet unknown. This study aims to explore the association of BMI, waist-hip ratio (WHR), and waist-height ratio (WHtR) with menstrual abnormalities. Methods This was a cross-sectional study conducted among 240 nursing students on two nursing campuses of Nepal. Demographic and menstrual characteristics related data were collected from the participants via the face-to-face interview technique followed by anthropometric measurements. Binary logistic regression was used to study the association of BMI, WHR, and WHtR with menstrual characteristics. Univariable and multivariable regression models were calculated at 95% confidence interval and a P value of 0.05 using a Statistical Package for Social Sciences, IBM SPSS® v21 (IBM, Armonk, New York). Results Out of 240 participants, 52 participants (21.67%) were underweight (<18.5 kg/m2), and 47 participants (19.58%) were either overweight (≥23 kg/m2) or obese (≥25 kg/m2). Overweight and obese BMI was associated with abnormality in menstrual cycle length (AOR = 4.24; 95% CI = 1.77–10.17), duration of the menstrual period (AOR = 2.52; 95% CI = 1.09–5.81), and periodic menstrual blood loss (AOR = 9.04; 95% CI = 3.55–23.01). Increase in WHtR (>0.5) was associated with abnormal cycle length (AOR = 3.09; 95% CI = 1.09–8.80) and abnormal period duration (AOR = 3.05; 95% CI = 1.10–8.44). An increase in WHR (>0.8) was associated with abnormal cyclical menstrual blood loss (AOR = 4.93; 95% CI = 1.55–15.71). Conclusions Obesity predisposes to menstrual irregularities. BMI is a better predictor of menstrual irregularity as the increase in BMI is associated with abnormality in menstrual cycle length, period duration, and blood loss. Increased WHR was associated with periodic blood loss only. Increased WHtR was associated with abnormal cycle length and period duration, but not menstrual blood loss.
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来源期刊
Journal of Obesity
Journal of Obesity ENDOCRINOLOGY & METABOLISM-
CiteScore
7.50
自引率
3.00%
发文量
19
审稿时长
21 weeks
期刊介绍: Journal of Obesity is a peer-reviewed, Open Access journal that provides a multidisciplinary forum for basic and clinical research as well as applied studies in the areas of adipocyte biology & physiology, lipid metabolism, metabolic syndrome, diabetes, paediatric obesity, genetics, behavioural epidemiology, nutrition & eating disorders, exercise & human physiology, weight control and health risks associated with obesity.
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