| 摘要: | 背景與目的：肥胖已為二十一世紀最主要可預防的慢性疾病，也是諸多疾病如高血壓、心臟病、糖尿病及癌症之危險因子。「肥胖海嘯」襲擊全球下，數千萬可預防之死亡個案發生。過去研究多著墨於肥胖與疾病及併發症之關連，惟身體質量指數與各項代謝性風險因子之系統化研究闕如。為增進此關連之瞭解，本研究利用2009-2010年度整合性篩檢資料庫分析身體質量指數之相關因素以及身體質量指數與十項代謝性風險因子之相關性，希望達到以為疾病預防基礎之目的。
研究方法：研究採單年期橫斷式設計。資料來源為中部某區域教學醫院體檢資料庫，有效樣本數2,996人。研究中採衛生署版本之身體質量指數定義分級。統計以SPSS 18.0進行描述性統計、t檢定、變異數分析、順序尺度迴歸、逐步複迴歸及羅吉斯迴歸。
研究結果：本研究結果顯示，身體質量指數達到過重以上(BMI≧24 kg/)的比例有48.7%。研究發現性別、年齡、喝酒習慣、嚼食檳榔習慣與身體質量指數皆達統計上顯著相關。逐步迴歸分析結果顯示身體質量指數與收縮壓、舒張壓、總膽固醇、三酸甘油脂、肝功能、肌酸酐、尿酸、空腹血糖顯著相關。
結論與建議：身體質量指數上升可造成諸多風險因子顯著上升。逐步複迴歸分析明顯看出收縮壓、舒張壓、三酸甘油脂、麩氨基酸焦葡萄醣轉氨基酵素在身體質量指數各組之中都呈現顯著相關。醫療單位應參考身體質量指數相關因素及身體質量指數所影響之各項風險因子，用於疾病預防與健康促進。身體質量指數與各代謝性風險因子之相關值得相關單位重視。
Background: As a common and preventable disease in the 21st century, obesity is also a major risk factor for the development of several chronic diseases including hypertension, heart disease, diabetes mellitus, and cancers, as well as a cause of disability and premature death. While “tsunami of obesity” attacks the whole world, numerous preventable deaths occur. Past studies already identified the link between obesity and diseases. However, there is a dearth of comprehensive and systematic research on body mass index (BMI) and metabolic risk factors. The current research sought to investigate the association between BMI and the ten metabolic risk factors using the 2009-2010 yearly integrated physical screening databases, to enhance the understanding in this area and serve as a basis for disease prevention.
Methods: In the cross-sectional design, the present study retrieved data out of the physical examination databases from a regional hospital of central Taiwan. Valid sample of 2,996 people were identified. This study adopted the Taiwan Department of Health version of BMI in obesity classification. Statistic methods include descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, ordinal regression, multiple regression, and logistic regression conducted in SPSS 18.0.
Results: Results showed that overweight accounts for 48.7% of the sample. Gender, age, alcohol consumption, and betel nuts chewing were significantly associated with BMI. Stepwise regression analyses showed that BMI was significantly associated with systolic pressure, diastolic pressure, total cholesterol, triglyceride, liver function, creatinine, uric acid, and fasting blood sugar.
Conclusion: An elevated BMI may be closely related to metabolic risk factors. Noteworthily, all categories of BMI were associated with systolic pressure, diastolic pressure, triglyceride, and glutamic pyruvic transaminase in the stepwise regression results. Public health authorities should examine the significant association between BMI and the risk factors in the attempt of disease prevention and health promotion. The association between BMI and metabolic risk factor should be more valued by related authorities. |
