Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Surgery, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Osun State, Nigeria.
Cancer Causes Control. 2023 Jun;34(6):495-503. doi: 10.1007/s10552-023-01684-0. Epub 2023 Mar 30.
Cancer burden is rising rapidly in Nigeria, the most populous country in sub-Saharan Africa; this trend may in part be attributable to diet. We developed and validated a semi-quantitative food frequency questionnaire (FFQ) to assess regional diet in Nigeria.
We recruited 68 adult participants from rural and urban settings in South West Nigeria. We developed an FFQ administered at baseline and assessed its validity using 3 dietary recalls (baseline, 7 days post baseline, 3 months post baseline). We calculated Spearman's rank correlation coefficients and energy-adjusted de-attenuated correlation coefficients for food items and macronutrients. We evaluated cross-classification using quartiles of macronutrient intake.
Energy-adjusted de-attenuated food item correlations between the FFQ and dietary recalls ranged from -0.08 (smoked beef/goat) to 0.73 (fried snacks) for the average intake from the first 2 recalls (2DR) and from -0.05 (smoked beef/goat) to 0.75 (smoked fish) for the average of all 3 recalls (3DR). Macronutrient correlations ranged from 0.15 (fat) to 0.37 (fiber) for the 2DR and from 0.08 (fat) to 0.41 (carbohydrates) for the 3DR. The percent of participants classified in the same quartile ranged from 16.4% (fat) to 32.8% (fiber, protein) for the 2DR and from 25.6% (fat) to 34.9% (carbohydrates) for the 3DR. Agreement improved when including adjacent quartiles, from 65.5% (carbohydrates) to 70.5% (fat, fiber) for the 2DR and from 62.8% (protein) to 76.8% (carbohydrate) for the 3DR.
Our semi-quantitative FFQ was reasonably valid for ranking intake of certain foods and macronutrients in adults in South West Nigeria.
尼日利亚是撒哈拉以南非洲人口最多的国家,其癌症负担正在迅速增加;这种趋势部分可能归因于饮食。我们开发并验证了一种半定量食物频率问卷(FFQ),以评估尼日利亚的区域饮食。
我们从尼日利亚西南部的农村和城市地区招募了 68 名成年参与者。我们开发了一种在基线时进行的 FFQ,并使用 3 次饮食回忆(基线、基线后 7 天、基线后 3 个月)来评估其有效性。我们计算了食物项目和宏量营养素的 Spearman 秩相关系数和能量调整衰减相关系数。我们使用四分位数的宏量营养素摄入量评估交叉分类。
FFQ 与饮食回忆之间的能量调整衰减食物项目相关性范围为 -0.08(熏牛肉/羊肉)至 0.73(炸薯条),用于前 2 次回忆(2DR)的平均摄入量,以及 -0.05(熏牛肉/羊肉)至 0.75(熏鱼),用于所有 3 次回忆(3DR)的平均摄入量。2DR 的宏量营养素相关性范围为 0.15(脂肪)至 0.37(纤维),3DR 的相关性范围为 0.08(脂肪)至 0.41(碳水化合物)。对于 2DR,分类在同一四分位数的参与者百分比范围为 16.4%(脂肪)至 32.8%(纤维、蛋白质),对于 3DR,分类在同一四分位数的参与者百分比范围为 25.6%(脂肪)至 34.9%(碳水化合物)。当包括相邻四分位数时,一致性提高,对于 2DR,从 65.5%(碳水化合物)提高到 70.5%(脂肪、纤维),对于 3DR,从 62.8%(蛋白质)提高到 76.8%(碳水化合物)。
我们的半定量 FFQ 在对尼日利亚西南部成年人某些食物和宏量营养素摄入进行排序方面具有相当的有效性。