The Quality of Life of Adolescents with Menstrual Problems
The Quality of Life of Adolescents with Menstrual Problems
复制标题
DOI：
10.1016/j.jpag.2012.11.004
复制
发表时间：
2013-04-01
影响因子：
1.8
通讯作者：
Grover, Sonia
中科院分区：
文献类型：
--
作者：
Azurah, Abdul Ghani Nur;Sanci, Lena;Grover, Sonia
目的：迄今为止，很少有出版物研究了健康相关的生活质量（HRQL）在年轻人口的月经问题，尽管他们在青春期女孩的高患病率。方法：采用问卷调查法，对2009年6月至2010年8月因月经问题就诊于三级妇科中心的13-18岁青少年进行调查。平均年龄为15.10 +/- 1.49，平均体重指数（BMI）为22.83 +/- 4.82 kg/m2。临床上最常见的月经问题是痛经（38.6%），其次是大量出血（33.6%），月经过少（19.6%）和闭经（8.2%）。平均总评分为70.40 +/- 16.36，42.3%的评分低于正常值的1个标准差（SD）。痛经组青少年的生理功能得分最低，而闭经组青少年的心理社会功能得分最低。母亲的养育方式、父母的焦虑、青少年的不良健康行为和BMI对女孩的生活质量（QoL）有影响。结论：月经问题虽然不危及生命，但对这些患者的生活质量有显著影响。确定这些影响可能会导致认识到潜在的服务或教育，以改善这一点。了解预测生活质量的特征可能有助于临床医生识别生活质量较差的患者。
Objective: To date, very few publications have examined the health related quality of life (HRQL) in the younger population with menstrual problems, despite their high prevalence in adolescent girls. We describe the health-related quality of life (HRQL) among adolescents with menstrual problems and identified factors that have an impact on it.Methods: The study was a questionnaire study (using PedsQL 4.0) of adolescents aged 13-18 referred to a tertiary gynecology center for menstrual problems between June 2009 and August 2010.Results: One hundred eighty-four adolescents completed the questionnaires. The mean age was 15.10 +/- 1.49 with the mean body mass index (BMI) of 22.83 +/- 4.82 kg/m(2). The most common menstrual problems seen in the clinic were dysmenorrhea (38.6%) followed by heavy bleeding (33.6%), oligomenorrhea (19.6%), and amenorrhea (8.2%). The mean overall score was 70.40 +/- 16.36 with 42.3% having a score below 1 standard deviation (SD) from the norms. Adolescents with dysmenorrhea had the poorest score in physical function, whereas those with amenorrhea had the lowest score in psychosocial function. Maternal parenting style, parental anxiety, adolescents' ill-health behavior, and BMI have been found to have impact on the girls' quality of life (QoL).Conclusion: Although menstrual problems are not life threatening, they can pose a significant impact on the quality of life of these patients. Identification of these impacts might lead to the recognition of potential services or education to improve this. Understanding the characteristics that predict QoL may help a clinician identify patients who are risk for poor QoL.