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  • 期刊

代謝症候群患者之知識、憂鬱與生活品質相關研究

Correlations Among Knowledge, Depression, and Quality of life in Patients with Metabolic Syndrome

摘要


目的:本研究目的為探討代謝症候群患者之人口學資料和疾病特性,對患者疾病知識、憂鬱及生活品質的影響。方法:採橫斷式相關研究方法,以立意取樣於北部某地區教學醫院新陳代謝門診收案共161位個案,問卷包含人口學基本資料及疾病特性、代謝症候群疾病知識、憂鬱、生活品質等資料,進行建檔與統計分析。以描述性統計、T-test、one way ANOVA、Pearson積差相關方法檢測各變項之相關性。結果:研究發現代謝症候群研究對象,在生理指標方面疾病知識與年齡(r=-0.409, p<0.01)呈現顯著負相關,與體重(r=0.161, p<0.05)及總膽固醇(r=0.190, p<0.05)皆呈顯著正相關,其餘生理指標皆無顯著相關;生理指標與憂鬱、生活品質皆無顯著相關。在三個變項量表發現憂鬱與生活品質有顯著相關性(r=0.678, p<0.01);而疾病知識與憂鬱、生活品質,則未達統計學顯著相關。結論:研究結果顯示患者愈憂鬱其生活品質愈差,年齡愈大對於代謝症候群疾病知識程度愈差,且生理指標(如:腰圍、血壓、血糖值、膽固醇…等)也愈不理想,患者生理指標與憂鬱無相關性。此研究結果可提供未來相關照護代謝症候群患者的醫護人員及日後提供衛教介入性研究之參考,期望能更進一步驗證衛教措施對提升代謝症候群患者之知識、降低憂鬱及提升生活品質之成效。

關鍵字

代謝症候群 知識 憂鬱 生活品質

並列摘要


Purposes: This study aimed to investigate the influence of demographic data and disease characteristics of patients with metabolic syndrome on disease knowledge, depression, and quality of life in the patients. Methods: A cross-sectional study design was adopted, and 161 patients from the metabolism clinic of a regional teaching hospital in Northern Taiwan were included in the study through purposive sampling. Using a questionnaire survey, data such as basic demographic data, disease characteristics, knowledge of metabolic syndrome, depression, and quality of life were collected from the patients for documentation and analysis. Descriptive statistics, t-test, one-way ANOVA, and Pearson's correlation were used to determine the correlations between various variables. Results: From the results of the study, it was found that disease knowledge was significantly and negatively correlated with age (r=-0.409, p<0.01), and significantly and positively correlated with body weight (r=0.161, p<0.05) and total cholesterol (r=0.190, p<0.05); no significant correlations were identified for other physiological indicators. In addition, physiological indicators were not significantly correlated with depression and quality of life. An analysis of the three variables showed that depression and quality of life were significantly correlated (r=0.678, p<0.01), while disease knowledge was not significantly correlated with depression and quality of life. Conclusions: The results also indicated that patients with more severe levels of depression had a poorer quality of life, while older patients had less knowledge of metabolic syndrome and poorer values for physiological indicators (e.g. waist circumference, blood pressure, blood sugar level, cholesterol, etc.); however, physiological indicators and depression in patients were not related. The results of this study may provide reference for health care professionals providing care to patients with metabolic syndrome and future interventional studies on health education, and it is hoped that the effectiveness of health education measures in enhancing knowledge, reducing depression, and improving quality of life of patients with metabolic syndrome can be further validated.

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