健檢老年人代謝症候群之相關研究

The Study of Metabolic Syndrome in Elderly Receiving Health Check-Up

10.29462/TGG.200507.0003

姚建安(Chien-An Yao)；李龍騰(Long-Teng Lee)；陳慶餘(Ching-Yu Chen)；黃國晉(Kuo-Chin Huang)

代謝症候群 ； 老年人 ； 盛行率 ； 人口學測量指標 ； 健檢 ； metabolic syndrome ； elderly ； prevalence ； anthropometric index ； health check-up

台灣老年醫學雜誌

1卷1期（2005 / 07 / 01）

18 - 26

繁體中文

目標：代謝症候群已經逐漸成為全世界各國重要的健康問題，本研究主要目的乃估計台灣地區接受健檢的65歲以上老年人代謝症候群盛行率，並探討不同人口學測量指標與代謝症候群的相關性。 方法：以1998年內接受某台灣地區連鎖之健康檢查中心共6,876位、65歲（含）以上的老年人（平均年齡70.1±4.4歲，年齡範圍是65-94歲）為研究樣本，平均身體質量指數(BMI)=23.9±3.3kg/平方公尺，採用美國膽固醇教育計畫之成人治療指南(NCEP-ATPIII)及其修正版（腰圍男性大於90公分，女性大於80公分）的代謝症候群的定義，並使用ROC 曲線分析(Receiver Operating Characteristic curve analysis)，來比較不同人口學測量指標，包括腰圍、身體質量指數(BMI)及腰臀比等，與代謝症候群的相關性。 結果：以NCEP-ATPIII標準估計台灣地區老年人代謝症候群的盛行率是29.0%，其中男性是21.6%，女性是38.2%；若採修正的NCEP-ATPIII標準，則代謝症候群的盛行率是38.6%，其中男性為30.2%，女性為48.9%。此外，隨著年齡增加，女性代謝症候群的盛行率皆是遞增，男性的盛行率在各個年齡層則幾乎相同，且各種年齡層中，女性的盛行率皆高於男性。不同的人口學測量指標除了腰圍外，與代謝症候群的盛行率的ROC曲線下面積(area under the ROC curve)幾乎皆少於0.8，表示其相關性並不強。 結論：台灣地區接受健檢的老年人的代謝症候群是常見的疾病，女性盛行率隨年齡增加而遞增，但是男性的盛行率在各個年齡層則幾乎相同，且各種年齡層中，女性的盛行率皆高於男性。腰圍測量似乎是目前較為適當的人體測量學指標以預測老年人的代謝症候群。

Objectives: In response to the increasing gravity of metabolic syndrome worldwide, our study aimed a investigating the prevalence of metabolic syndrome and its relationship with various anthropometric indices in the elderly receiving health check-up. Methods: A total 6,876 elder persons (age range=65-94 years, mean=70.1 years; Body Mass Index or BMI=23.9 kg/m^2) receiving health check-up in chained health examination centers island-wide in 1998 were recruited as the samples of our study. Metabolic syndrome was defined in line with the U.S. National Cholesterol Education Panel (NCEP) metabolic syndrome criteria or modified NCEP criteria (waist circumference or WC ＞90 cm in men and ＞80 cm in women). The receiver operating characteristic (ROC) analysis was further employed to compare the predictive validity of metabolic syndrome between various anthropometric indices, including BMI, WC, and Waist Hip Ratio (WHR). Results: The prevalence of metabolic syndrome read 21.6% in men and 38.2% in women using NCEP criteria. Alternatively, the prevalence of metabolic syndrome escalated to 30.2% in men and 48.9% in women using modified NCEP criteria. The prevalence of metabolic syndrome was positively related to the increasing age in women but reported less variance in men. The prevalence in women was higher than in men within each age group. Nearly all the areas under the ROC curves of various anthropometric indices except WC were less than 0.8. Therefore, WC may be used as an appropriate anthropometric index to predict metabolic syndrome in the elderly receiving health check-up. Conclusions: The metabolic syndrome was a disorder common in the elderly receiving health check-up. The prevalence of metabolic syndrome increased with age in women but showed no significant change in men, and it appeared to be more common in women than in men within each age group of our study. Furthermore, WC emerged from our study as an appropriate anthropometric index for screening the metabolic syndrome in elder people in Taiwan.

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