Body mass index and menstruation of nursing students in technical colleges－A cross-sectional study

• Main Authors: Li-Tan Chiu, 邱麗曇
• Other Authors: Pei-Jen Chang
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/30920495812587716670

碩士 === 國立台北護理學院 === 護理研究所 === 91 === The purpose of this research was to study the prevalence rate of abnormal menstruation of college female students, its relevant affecting factors, and its correlation with different body mass index. The documentation was gathered through a crosscut and constructive questionnaire that distributed to first, second, and third female graders who were nursing majors at Institutes of Technology in Northern, Central, and Southern Taiwan. A total of 1216 valid questionnaires were responded and an analysis progressing with the aid of SPSS is presented. The findings showed that the average age of subjects was 19.8. The mean age of menarche occurred at 12.5. 27.5% of the subjects had abnormal menstrual regularity. The menstrual cycle was 29.9 days in average and a cycle between 25 and 35 days were the majority which took up 71.5% of the whole. The variability in the cycle lengths longer than 7 days occupied 26%. The duration of menses longer than 7 days occupied 12% of the subjects. 34.3% of the subjects experienced medium pain during menstruation. 87-93% of the subjects who had premenstrual syndromes. The mean body mass index was 20.6. 22% of the subjects were underweight. Over-weights and obese took up 10.2%. All together 32.2% of the subjects were diagnosed as weight abnormity. The relevant affecting factors towards menstruation were stress, age, body mass index, quality of sleeping, smoking, the sum of caffeine taken through coffee, tea and coca, and the quantity of exercise. Logistic regression was used to model BMI, menstrual cycle, and the measurements of cycle variability. Those who BMI in 24≦BMI＜27 had a double risk for long cycle length (＞35 days ) compared with those who had BMI in 18.5≦BMI＜24.(adjusted odds ratio＝2.06, 95﹪confidence interval：1.09-3.91) ；more over, they also had double risk in menstrual cycle variability(＞7days).(adjusted odds ratio＝2.09, 95﹪confidence interval：1.23-3.57). Those who BMI≧ 27 experienced 55 times high risk in long cycle length (＞35 days ) compared with BMI in 18.5≦BMI＜24.(adjusted odds ratio＝62.5, 95﹪confidence interval：26.67-146.60)；additionally, the menstrual cycle variability(＞7days)was 21 time higher.(adjusted odds ratio＝21.40, 95﹪confidence interval：9.71-47.14). Multiple logistic regression and linear regression analyses were performed on menstruation .The predicting factors in menstrual cycle were found that BMI had the highest interpretation as 8.6%, factors such as stress and age follow as second and third. BMI≧ 24 who had menstrual cycle (＞35 days) occupied 47.9﹪of the whole. When BMI≧ 24, the interpretation of predicting factors in menstrual cycle was 38% and they were positive correlated. It presented that when one’s BMI≧ 24, her menstrual cycle lasted longer.