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更年期症状的预测因素:生活方式、健康及更年期相关因素和社会人口学特征的影响

Menopause symptoms' predictors: the influence of lifestyle, health- and menopause-related, and sociodemographic characteristics.

作者信息

Pimenta Filipa, Leal Isabel, Maroco João, Ramos Catarina

机构信息

Psychology and Health Research Unit, ISPA-Instituto Universitário, Lisbon, Portugal.

出版信息

J Women Aging. 2012;24(2):140-51. doi: 10.1080/08952841.2012.639653.

DOI:10.1080/08952841.2012.639653
PMID:22486477
Abstract

This research explores a causal model of menopausal symptoms in peri- and postmenopausal women. A community sample of 710 women was assessed regarding menopausal symptoms, and sociodemographic, health- and menopause-related, and lifestyle characteristics. Structural equation modelling was used. Menopausal status predicted skin/facial hair changes (β = .156; p <.001), vasomotor (β = .122; p <.001) and sexual symptoms (β = .158; p <.001). Age was significantly associated with cognitive impairment (β = .087; p = .003), aches/pain (β = .072; p = .006), urinary (β = .115; p = .004) and also sexual symptoms (β = .107; p = .021). Several menopausal symptoms are predicted, not only by menopausal status, but also by age progression, among other variables; this should be considered in the context of a well-adapted menopausal transition.

摘要

本研究探讨了围绝经期和绝经后女性更年期症状的因果模型。对710名女性的社区样本进行了更年期症状、社会人口统计学、健康和更年期相关以及生活方式特征方面的评估。采用了结构方程模型。更年期状态可预测皮肤/面部毛发变化(β = 0.156;p < 0.001)、血管舒缩症状(β = 0.122;p < 0.001)和性症状(β = 0.158;p < 0.001)。年龄与认知障碍(β = 0.087;p = 0.003)、疼痛(β = 0.072;p = 0.006)、泌尿系统症状(β = 0.115;p = 0.004)以及性症状(β = 0.107;p = 0.021)显著相关。除其他变量外,更年期状态和年龄增长均能预测多种更年期症状;在适应良好的更年期过渡过程中应考虑这一点。

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