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Determination of symptoms associated with hiesho among young females using hie rating surveys
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作者 Hidetoshi Mori Hiroshi Kuge +2 位作者 Shunji Sakaguchi Tim Hideaki Tanaka Junji Miyazaki 《Journal of Integrative Medicine》 SCIE CAS CSCD 2018年第1期34-38,共5页
Objective: Hie (cold sensation) is one of the most well-known health complaints in Japan and elsewhere in East Asia. Those who suffer from severe hie are considered to have hiesho (cold disorder). This study was ... Objective: Hie (cold sensation) is one of the most well-known health complaints in Japan and elsewhere in East Asia. Those who suffer from severe hie are considered to have hiesho (cold disorder). This study was conducted to determine symptoms associated with hie in young females using a survey consisting of the hie scale and hie diary. Methods: Two hundred and seventy-one participants were included for the analysis. Survey forms were distributed to the participants. Diagnosis of hiesho was determined by using the hie scale. A discriminant score of over -0.38 was considered hiesho. The Short Form-8 Health Survey Standard Version (SF-8) was used to measure health-related quality of life (QOL). The participants were also asked to respond to the questionnaire evaluating 14 physical and emotional symptoms, utilizing a six-level Likert scale item. Results: The 1st factor (hie factor) was correlated with hie (r= 0.546), dry mouth (r= 0.332), lower- extremity edema (r = 0.450), headrushes (r=0.470), shoulder stiffness (r = 0.311 ), headrushes with chills (r = 0.726), and fatigue (r= 0.359). Cronbach's α of the 1st factor was 0.748, which indicated reliability between the items. When hie factor was the dependent variable, standardized partial regression coefficient was β=-0.387 for physical component score (P 〈 0.001) and β=-0.243 for mental component score (P 〈 0.001 ). Conclusion: This study indicated that hiesho symptoms among young female adults were associated with bodily pain and general health perceptions of the SF-8 QOL survey. 展开更多
关键词 Cold l:ypersensitivity questionnaires health surveys Quality of life Regression analysis Reproducibility of results
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