Dennerstein Lorraine, Lehert Philippe, Koochaki Patricia E, Graziottin Alessandra, Leiblum Sandra, Alexander Jeanne Leventhal
Office for Gender and Health, Department of Psychiatry, University of Melbourne, Parkville, Victoria, Australia.
Menopause. 2007 Jul-Aug;14(4):688-96. doi: 10.1097/gme.0b013e31802dabf0.
To determine patterns of symptoms across age groups, identify symptom groups associated with ovarian hormonal depletion or other variables, and develop a prediction model for each symptom.
This was a cross-sectional survey of 4,517 women ages 20 to 70 years recruited from market research panels in the United States, United Kingdom, Germany, France, and Italy using a self-report questionnaire that included general health information and a checklist of 36 symptoms. Stepwise regression was used to determine for each symptom how prevalence varied with age, indicators of menopausal hormonal changes, and the effects of other explanatory variables, including body mass index, morbidity, and country. Hierarchical clustering was used to group symptoms.
Six groups of symptoms were found, of which two groups, with seven symptoms in total, were related to markers of menopausal hormonal change: a group consisting of hot flashes and night sweats and a second group including poor memory; difficulty sleeping; aches in the neck, head, and shoulders; vaginal dryness; and difficulty with sexual arousal. Physical and mental morbidity affected estimates of the prevalence of all symptoms. Psychological symptoms declined with age from a maximum prevalence before age 40. Certain physical symptoms increased with age and body mass index. Clustering identified three country groups: (1) US and UK women; (2) French and Italian women; and (3) German women. There were marked differences in prevalence between countries for certain physical and psychological symptoms.
The seven symptoms most linked to menopausal hormonal change should form part of any future menopause symptom list. Physical and mental morbidity affect symptom prevalence and should be measured.
确定各年龄组的症状模式,识别与卵巢激素耗竭或其他变量相关的症状组,并为每种症状建立预测模型。
这是一项横断面调查,对从美国、英国、德国、法国和意大利的市场研究小组招募的4517名20至70岁的女性进行了调查,使用了一份自我报告问卷,其中包括一般健康信息和一份36种症状的清单。采用逐步回归法确定每种症状的患病率如何随年龄、绝经激素变化指标以及其他解释变量(包括体重指数、发病率和国家)而变化。采用层次聚类法对症状进行分组。
发现了六组症状,其中两组共七种症状与绝经激素变化指标有关:一组由潮热和盗汗组成,另一组包括记忆力减退、睡眠困难、颈部、头部和肩部疼痛、阴道干燥以及性唤起困难。身体和精神疾病影响所有症状患病率的估计。心理症状在40岁之前患病率最高,之后随年龄下降。某些身体症状随年龄和体重指数增加。聚类确定了三个国家组:(1)美国和英国女性;(2)法国和意大利女性;(3)德国女性。某些身体和心理症状在不同国家的患病率存在显著差异。
与绝经激素变化最相关的七种症状应成为未来任何绝经症状清单的一部分。身体和精神疾病会影响症状患病率,应进行测量。