Literature DB >> 19747437

[Epidemiological investigation of perimenopausal women in Shanghai].

Jin Zheng1, Ji Li, Li Zhang, Guo-hua Hu, Chao-qin Yu, Zhao-fen Zhang, Shuang Ni, Mei-juan Wei.   

Abstract

OBJECTIVE: To explore the cognitive level and the mental status of the patients suffering from perimenopausal syndrome in Shanghai, and to identify the traditional Chinese medicine syndrome distribution feature of perimenopausal syndrome.
METHODS: The cognitive level of the perimenopausal women was evaluated by using general living problem questionnaire. The mental status of the perimenopausal women was evaluated by using self-rating depressive scale. The traditional Chinese medicine syndrome distribution feature of perimenopausal syndrome was identified by using traditional Chinese medical symptoms questionnaire.
RESULTS: A total of 634 perimenopausal women finished the investigation. There were 74.76% (474/634) patients who knew little about the perimenopausal syndrome; 77.29% (490/634) patients had a depressive tendency; 8.36% (53/634) patients had depressive disorder. There were 72.40% (459/634) patients who had the symptoms such as susceptibility to anger and restlessness, restless sleep at night, thirst with dry throat and bitter taste, and all these symptoms could be classified into hyperactivity of heart and liver fire syndrome.
CONCLUSION: Patients suffering from perimenopausal syndrome know little about this disease and mostly have depressive tendency, and the major traditional Chinese medicine syndrome pattern is hyperactivity of heart and liver fire based on the chief clinical manifestations of the patients.

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Year:  2009        PMID: 19747437     DOI: 10.3736/jcim20090906

Source DB:  PubMed          Journal:  Zhong Xi Yi Jie He Xue Bao        ISSN: 1672-1977


  1 in total

1.  Acupuncture combined with SSRIs in the treatment of perimenopausal depressive disorder: A protocol for systematic review and meta-analysis.

Authors:  Zhan Gao; Jieqiong Wang; Mingzhou Gao; Tingting Song; Xiangju Gao; Mingqi Qiao; Jie Gao
Journal:  Medicine (Baltimore)       Date:  2022-01-21       Impact factor: 1.889

  1 in total

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