Development of Food Frequency Questionnaires and a Nutrient Database for the Prospective Urban and Rural Epidemiological (PURE) Pilot Study in South India: Methodological Issues

印度南部前瞻性城鄉流行病學（PURE）先驅研究飲食頻率問卷之發展及營養素資料庫：方法學議題

Ankalmadagu Venkatasubbareddy Bharathi ； Anura Vishwanath Kurpad ； Tinku Thomas ； Salim Yusuf ； Govindachar Saraswathi ； Mario Vaz

《Asia Pacific Journal of Clinical Nutrition》 17卷1期 (2008/03) Pp. 178-185

https://doi.org/10.6133/apjcn.2008.17.1.25

摘要

目的：為印度飲食習慣不同的都會及鄉村族群的前瞻性城鄉流行病學（PURE；Prospective Urban and Rural Epidemiological）先驅研究，發展飲食頻率問卷（FFQs）及營養素資料庫。程序：收集84名鄉村及60名城市研究對象之24小時飲食回憶紀錄。從一個完整的食物清單，針對這兩群人，各自發展出一份FFQs。為了FFQ營養素分析的需要，建立了一個營養素資料庫，過程包括食品選擇、食譜研發及應用這些於熟食。以80名城市及77名鄉村的研究對象，進行這兩份FFQs的先驅研究。在兩群人中，各採用逐步迴歸，找出對總熱量攝取的貢獻累積90%變異數的食物。使用獨立樣本t檢定，比較營養素及食物組攝取。主要結果：城市及鄉村的FFQs分別包括129項及102項食物，其中有82種食物兩者都有。14項城市食物及8項鄉村食物可解釋總熱量攝取90%累積變異數。城市組的大部份營養素及食物組的每日攝取量，均較鄉村組高出2至3倍。結論：在不同飲食習慣的印度族群中，使用標準方法分別發展出來的FFQs可以充分攫取飲食攝取訊息。可採用標準方法找出其他來源相配食物的數據來代替當地的食物成分表，來發展營養素資料庫。

關鍵字

資料庫 ； 營養素評估 ； 印度 ； 流行病學方法 ； 問卷

並列摘要

Purpose: To develop Food Frequency Questionnaires (FFQs) and nutrient databases for urban and rural Indian populations with diverse dietary habits for the PURE (Prospective Urban and Rural Epidemiological) pilot study. Procedure: 24 hour dietary recalls were obtained from 84 rural and 60 urban subjects. From a comprehensive food list, separate FFQs were developed for the two groups. Nutrient analysis of the FFQ required the selection of foods, development of recipes and application of these to cooked foods to develop a nutrient database. The FFQs were piloted in 80 urban and 77 rural subjects. Separately for each group, a stepwise regression method was used to identify foods contributing to a cumulative 90 % of variance to total energy intake. Nutrient and food group intakes were compared using an independent t-test. Main Findings: The urban and the rural FFQs contained 129 and 102 foods respectively, of which 82 foods were common to both. Fourteen urban foods and eight rural foods explained a cumulative 90% of variance for total energy intake. Daily intakes for most nutrients and food groups were two to three fold higher in the urban than in the rural group. Conclusions: In Indian populations with diverse dietary habits, using standard methods to develop separate FFQs can capture dietary intakes adequately. To develop nutrient databases, substitution of local food composition tables with data from other sources using standard methods to match foods can be adopted.

並列關鍵字

Databases ； nutrient assessment ； India ； epidemiologic methods ； questionnaires