Gender differences in food and energy intake among adult villagers in northwestern Bangladesh: a food frequency questionnaire survey

This study aimed to elucidate gender differences in dietary intake of rural Bangladeshi adults. A food frequency questionnaire (FFQ) survey using 15 food/dish items, together with anthropometric measurements, was conducted for 230 adults and adolescents (95 males and 135 females). To estimate the portion sizes of these foods/dishes, the samples consumed by 25 subjects were weighed. The FFQ revealed that rice was eaten two to three times (or more) per day by 98% of the subjects, providing nearly 60% of energy for both sexes. Puri (fried bread), meats, eggs, pulses, milk, fresh vegetables, fruits, tea with milk and sugar, and soft drinks were consumed more frequently by males. Males’ larger portion sizes of rice, fish dish, potato dish, and vegetable dish resulted in larger daily energy intake per body weight in males (235±41 kJ/kg) than in females (161±28 kJ/kg). Despite males’ larger energy intake, the proportion of chronically energy deficient persons (<18.5 kg/m² in body mass index) was similar between males (35.8%) and females (37.8%), attributing to males’ larger energy expenditure. Females’ less-frequent consumption of nutritious foods and smaller energy intake were considered vulnerable to micronutrient deficiency.     

Gender differences in dietary intake among adults of Hindu communities in lowland Nepal: assessment of portion sizes and food consumption frequencies

OBJECTIVE: To elucidate gender differences in dietary intake among adults in lowland Nepalese communities. SUBJECTS AND METHODS: For 122 male and 195 female subjects aged 20 years and over from 94 randomly selected households, interviews using a 19-item food frequency questionnaire were conducted. To determine the portion sizes of these foods, the samples consumed by 56 subjects in a full 1-day period were weighed. Energy expenditure was estimated by time spent on daily activities. RESULTS: Gender differences in per-day energy and protein intakes were related to sex differences in body size and energy expenditure. Apparent gender differences in the crude intakes disappeared when they were expressed by nutrient density (mg or microg/MJ) since micronutrient intakes were significantly correlated with energy intake. However, males' iron intake was larger even after adjustment for energy intake, attributing to their larger portion sizes of commonly consumed staple foods and higher frequencies of consuming luxury foods (fish and tea). CONCLUSION: The intrahousehold unequal distribution of food incurs risk of iron deficiency among female subjects. SPONSORSHIP: This study was financially supported by the Ajinomoto Foundation for Dietary Culture and the Alliance for Global Sustainability Program.     

Increasing the portion size of a sandwich increases energy intake

OBJECTIVE: This study investigated the effect on energy intake of increasing the portion size of a food served as a discrete unit. DESIGN: A within-subject design with repeated measures was used. SUBJECTS/SETTING: The sample comprised 75 young adults (37 females and 38 males) from a university community. INTERVENTION: Individuals ate lunch in the lab once a week for 4 weeks. Each week, they were served one of four sizes of a deli-style sandwich (6, 8, 10, or 12 inches), of which they could eat as much as they wanted. MAIN OUTCOME MEASURES: Energy intakes were determined for each meal, as were ratings of hunger and satiety before and after each meal. STATISTICAL ANALYSES PERFORMED: A linear mixed model with repeated measures was used. The influence of subject characteristics was examined using analysis of covariance. RESULTS: The portion size of the sandwich significantly influenced lunch intake for both males and females (P<.0001). The majority of individuals consumed the entire 6-inch sandwich. When served the 12-inch sandwich, compared with the 8-inch sandwich, females consumed 12% more energy (74 kcal) and males consumed 23% more energy (186 kcal). Despite these differences, ratings of hunger and fullness were not significantly different after eating the 12-inch and 8-inch sandwiches. APPLICATIONS/CONCLUSIONS: These results suggest that increasing the portion size of a food served as a discrete unit leads to increased energy intake at a single meal without differentially influencing ratings of hunger and satiety. Dietitians should educate their clients about strategies to moderate the effect on intake of increased portions of high-calorie foods.     

Water incorporated into a food but not served with a food decreases energy intake in lean women.

BACKGROUND: Previous research showed that decreasing the energy density (kJ/g) of foods by adding water to them can lead to reductions in energy intake. Few studies have examined how water consumed as a beverage affects food intake. OBJECTIVE: This study examined the effects of water, both served with a food and incorporated into a food, on satiety. DESIGN: In a within-subjects design, 24 lean women consumed breakfast, lunch, and dinner in our laboratory 1 d/wk for 4 wk. Subjects received 1 of 3 isoenergetic (1128 kJ) preloads 17 min before lunch on 3 d and no preload on 1 d. The preloads consisted of 1) chicken rice casserole, 2) chicken rice casserole served with a glass of water (356 g), and 3) chicken rice soup. The soup contained the same ingredients (type and amount) as the casserole that was served with water. RESULTS: Decreasing the energy density of and increasing the volume of the preload by adding water to it significantly increased fullness and reduced hunger and subsequent energy intake at lunch. The equivalent amount of water served as a beverage with a food did not affect satiety. Energy intake at lunch was 1209 +/- 125 kJ after the soup compared with 1657 +/- 148 and 1639 +/- 148 kJ after the casserole with and without water, respectively. Subjects did not compensate at dinner for this reduction in lunch intake. CONCLUSION: Consuming foods with a high water content more effectively reduced subsequent energy intake than did drinking water with food.     

Fitting portion sizes in a self-administered food frequency questionnaire

For epidemiological studies, a simple semiquantitative FFQ was developed to assess the frequency of intake of food items demonstrated with graphically displayed portion sizes. As a validation study, a random sample of 393 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study completed 2 unannounced 24-h dietary recalls (24HDR) and the FFQ during 1 y. To calculate food and nutrient intakes, we compared the use of fitted portion sizes with the use of predefined portion sizes. Fitted portion sizes were calculated by summing food intakes over the 2 24HDR and dividing the sum by the frequency of intake reported in the FFQ for each FFQ food item, leading to similar mean intakes for FFQ and 24HDR. As predefined portion sizes, amounts that had been used in previous dietary assessments in EPIC-Potsdam were used. Mean intake of 12 food groups was 102% for men or women with fitted portion sizes and 79% for men and 95% for women with predefined portion sizes of intake measured with 2 24HDR. However, deattenuated, energy-adjusted correlation coefficients between FFQ and 24HDR were not better for 19 nutrients by the use of fitted portion sizes, with a mean correlation coefficient of 0.53 for men and 0.56 for women. Mean correlation coefficients for food groups also were similar for fitted and predefined portion sizes. Fitting portion sizes using recent reference data from a random sample of study participants improved the quantitative assessment of food and nutrient intake, but not ranking of study participants, compared with predefining portion sizes based on prior knowledge.     

Low nutrient intakes among infants in rural Bangladesh are attributable to low intake and micronutrient density of complementary foods

We assessed the adequacy of nutrient intakes of 135 rural Bangladeshi breast-fed infants 6-12 mo of age and examined nutritional trade-offs due to possible displacement of breast milk by complementary foods. Observers completed 12-h daytime measurements of breast milk and complementary food intakes; data for the previous 12 h were obtained from maternal recall, yielding estimates of total 24-h intakes. On average, infants were mildly wasted (mean +/- SD weight-for-length Z-score = -0.92 +/- 0.88) and moderately stunted (length-for-age Z-score = -1.49 +/- 0.96). Total energy intakes at 6-8 and 9-12 mo were 88 and 86% of absolute energy requirements (kJ/d), 106 and 105% of requirements per kg body weight, and 97 and 94% of requirements per kg median weight-for-length, respectively. Breast milk contributed 78% of energy intake at 6-8 mo and 75% at 9-12 mo. Mean meal frequency and energy density of complementary foods were generally consistent with recommendations, but only small amounts of food were offered. Nevertheless, only 72% of the food energy offered was consumed. Total energy intake was positively correlated with meal frequency, quantity consumed per meal, and energy intake from breast milk, but not with energy density of complementary foods. Energy intake from complementary foods was inversely related to energy intake from breast milk. The diets fell short of recommended intakes for numerous vitamins and minerals. We conclude that although greater intakes of complementary foods were associated with higher total energy intake, micronutrient intake remained low due to the low micronutrient density of the complementary foods consumed and the partial displacement of breast milk.     

Associations between the portion sizes of food groups consumed and measures of adiposity in the British National Diet and Nutrition Survey

The objective of the present study was to examine the associations between the portion sizes of food groups consumed with measures of adiposity using data from the National Diet and Nutrition Survey of British adults. Seven-day weighed dietary records, physical activity diaries and anthropometric measurements were used. Foods eaten were assigned to thirty different food groups and analyses were undertaken separately for men and women. The median daily portion size of each food group consumed was calculated. The potential mis-reporting [corrected] of dietary energy intake (EI) was identified using the following equation: EI--estimated energy requirements/EER [corrected] x 100 = percentage of under-reporting (UR) of energy needs. Multinomial logistic regression (adjusted for age, social class, physical activity level and UR) was used to determine the portion sizes of food groups most strongly associated with obesity status. Few positive associations between the portion sizes of food groups consumed and obesity status were found. However, UR was prevalent, with a median UR of predicted energy needs of 34 and 33 % in men and women, respectively. After the adjustment was made for UR, more associations between the food groups and obesity status became apparent in both sexes. The present study suggests that the true effect of increased portion size of foods on obesity status may be masked by high levels of UR. Alternatively, these data may indicate that an increased risk of obesity is not associated with specific foods/food groups but rather with an overall increase in the range of foods and food groups being consumed.     

Development of a food frequency questionnaire in a probabilistic sample of adults from Niterói, Rio de Janeiro, Brazil

With the purpose of generating a list of foods for a food-frequency questionnaire, data from 24h dietary recalls on a typical day from a probabilistic sample of 1,724 adults of Niterói, Rio de Janeiro, Brazil, were analyzed. The frequency of food intake, the total intake of energy and macronutrients and the relative contribution of each food item to total energy and macronutrient intake were calculated. The most frequently reported food items (> 50% of adults) were rice, coffee, beans, refined canesugar, and bread. Whole milk was consumed more frequently then skimmed milk or semi-skimmed milk. Beef was consumed by more adults than chicken, pork or fish. Approximately 90% of energy and macronutrients intake was explained by 65 food items. The list of food items generated in the present analysis is similar to those found in other samples of adults from urban areas in Brazil. It may be possible to generate a core list of common foods with addition of regional foods to be used nationally in urban areas of the country.     

Portion size of food affects energy intake in normal-weight and overweight men and women

BACKGROUND: Large portions of food may contribute to excess energy intake and greater obesity. However, data on the effects of portion size on food intake in adults are limited. OBJECTIVES: We examined the effect of portion size on intake during a single meal. We also investigated whether the response to portion size depended on which person, the subject or the experimenter, determined the amount of food on the plate. DESIGN: Fifty-one men and women were served lunch 1 d/wk for 4 wk. Lunch included an entrée of macaroni and cheese consumed ad libitum. At each meal, subjects were presented with 1 of 4 portions of the entrée: 500, 625, 750, or 1000 g. One group of subjects received the portion on a plate, and a second group received it in a serving dish and took the amount they desired on their plates. RESULTS: Portion size significantly influenced energy intake at lunch (P < 0.0001). Subjects consumed 30% more energy (676 kJ) when offered the largest portion than when offered the smallest portion. The response to the variations in portion size was not influenced by who determined the amount of food on the plate or by subject characteristics such as sex, body mass index, or scores for dietary restraint or disinhibition. CONCLUSIONS: Larger portions led to greater energy intake regardless of serving method and subject characteristics. Portion size is a modifiable determinant of energy intake that should be addressed in connection with the prevention and treatment of obesity.     

Assessment of typical food portion sizes consumed among Australian adults

Aim: To document the typical portion sizes of commonly consumed foods as reported by adults in the 1995 National Nutrition Survey, and to compare these data with existing information on serving sizes used in Australia. Methods: Portion sizes of foods were defined as total amounts of food consumed per eating occasion, using estimated food portion weight data from the 1995 National Nutrition Survey. Age‐ and sex‐specific median (typical) and interquartile ranges were produced for the most commonly consumed foods for Australian adults. These were compared with other data on weighed food records, sample servings as used in the Australian Guide to Healthy Eating and ‘unspecified’ serves as used in nutritional analysis software. Results: Typical portion sizes for many commonly consumed foods varied significantly by age and sex of the consumer, with larger portion sizes being consumed by men, and by younger adults. Portion size differences between sex were not consistent across food types; therefore, a fixed ratio cannot be applied to all food types. Typical portion sizes estimated from the National Nutrition Survey were similar to median portion sizes obtained from weighed food records for many foods but were not similar to the generic sample servings and ‘unspecified’ serves. Conclusions: The significant age and sex differences in portion sizes consumed indicate the need for age‐ and sex‐specific portion sizes in dietary analysis. Portion size research has particular relevance to the current revision of the dietary guidelines, core food groups and the development of a new food guide in Australia.     

Calibration of the food list and portion sizes of a food frequency questionnaire applied to free-living elderly people

ObjectiveTo calibrate the food list and relative portion sizes of a food frequency questionnaire (FFQ) for application to a free-living, healthy, elderly population.MethodsCross-sectional study. One hundred free-living, healthy participants, aged from 60 to 75 y, randomly selected from among individuals in the area served by the Family Health Program, School of Medicine of Ribeirao Preto, University of São Paulo. A Food Frequency Questionnaire (FFQ) and a Diet History Questionnaire (DH) were applied by trained dietitians. Each food item of the FFQ had its portion size recalculated according to the percentiles referenced by the volunteers in the DH (25th = small, 50th = medium, and 75th = large). The list of foods and portion sizes of the original FFQ and those obtained by the application of the DH were compared. The percent contribution of energy, protein, fat, carbohydrate, folic acid, vitamin C, calcium, and fiber of each food item mentioned in the FFQ was determined from the data obtained by the application of the DH.ResultsFFQ, as compared with the DH, provided good estimation of the intake of protein, calcium, folic acid, and fiber (paired t test P < 0.05). Portion sizes of the FFQ differed from those obtained by the application of the DH (?23% to 300%).ConclusionsAdjustments to the FFQ in particular, new portion sizes and a reduction of the food list were found to be appropriate for application to healthy, urban, free-living elderly people in Ribeirao Preto, Brazil.     

Portion size adds limited information on variance in food intake of participants in the EPIC-Potsdam study

Food-frequency questionnaire (FFQ) data should reflect interindividual variation and therefore measure variance in intake among populations. We conducted this analysis to evaluate the relevance of separate portion size questions to the interindividual variation in food intake. The contribution of portion size questions to the variance in food intake was quantified and compared with the variance when group-specific portion sizes would be assigned, using 26,764 FFQ of the European Investigation into Cancer and Nutrition (EPIC)-Potsdam Study. Groups were defined according to gender, age (<50 y, >/=50 y) or body mass index (BMI) (<26 kg/m(2), >/=26 kg/m(2)). The FFQ inquired about both consumption frequency and portion size. Linear regression models for each food item were fit with intake (g/d) as dependent variables and frequency of intake as independent variables. The mean coefficient of determination (R(2)) for the different food items explained by frequency only was 84.0% (71.2-95.7%). The R(2) for gender-, age- and BMI-specific frequencies of intake did not markedly alter the overall results. We conclude that the omission of individual portion size information would probably result in a notable reduction of interindividual variance. However, to reduce the respondents' burden and to increase data completeness in self-administration in large epidemiologic studies, the assignment of a constant portion size seems to be adequate. The variance was not increased markedly when constant gender-, age- and BMI-specific portion sizes were applied, thus supporting the assignment of an overall portion size.     

Comparison of intakes of US Chinese women based on food frequency and 24-hour recall data

The objective of this cross-sectional study was to compare dietary reports from a food frequency questionnaire (FFQ) for US Chinese women with 24-hour recall estimates. The subjects were 56 women recruited through organizations in Philadelphia's Chinese community. Spearman correlations were used to describe FFQ estimates of food servings per month and nutrient intake per day vs estimates from three 24-hour recalls over 1 month. On average, women reported at least weekly consumption of 28 of 96 FFQ food items. The three most frequently consumed were rice (38 times/month), tea (29 times/month), and dark green, leafy vegetables (18 times/month). Comparing reported frequencies of the 28 foods to 24-hour recall estimates, the median Spearman correlation was 0.36. For nutrient estimates, correlations were high (r >0.5) for dietary fiber and calcium; moderate ( r =0.25 to 0.5) for energy, saturated fat, cholesterol, carbohydrates, protein, folic acid, and iron; but poor (r <0.25) for total fat, vitamin C, vitamin A, and carotene. These findings provide some assurance of the FFQ's adequacy for describing US Chinese women's intake of commonly consumed foods and selected nutrients. They also provide a basis for further improvements to, and evaluations of, the FFQ.     

Validity and reproducibility of a food frequency questionnaire for pregnant Finnish women

The authors developed a self-administered 181-item food frequency questionnaire (FFQ) to assess dietary intake during pregnancy for Finnish women from August 1995 to July 1996. In the validation study (n = 113), the data that were collected by using two 5-day food records completed during the eighth month of pregnancy were compared with FFQ data. The intake of foods and nutrients was higher as determined by FFQ than that assessed using food records. Pearson correlation coefficients for nutrients, after adjustment for energy, ranged from 0.19 (vitamin E) to 0.70 (thiamin) and, for foods, from 0.03 (high-fat milk) to 0.84 (low-fat milk). Energy adjustment improved the correlations for nutrients. Correction for attenuation improved correlations for both foods and nutrients. On average, 70% of the foods and 69% of the nutrients fell into the same or adjacent quintiles, according to the FFQ and the food record. In the reproducibility study, 111 women completed the FFQs twice at a 1-month interval. The intraclass correlation coefficients for nutrients ranged from 0.42 (ethanol) to 0.72 (sucrose, riboflavin, and calcium), and for foods, they ranged from 0.44 (ice cream) to 0.91 (coffee). The authors conclude that the FFQ has an acceptable reproducibility and represents a useful tool for categorizing pregnant women according to their dietary intake.     

Reproducibility of a short food frequency questionnaire for Japanese general population

BACKGROUND: In epidemiologic field studies, a food frequency questionnaire (FFQ) is one of the most feasible tools to assess usual dietary habits. The purpose of this study is to evaluate the reproducibility of consumption of foods and nutrients assessed with a self-administered short FFQ in a Japanese general population. METHODS: We have investigated 1-year interval reproducibility of a self-administered short FFQ, comprising 47 food items, and 8 frequency categories, among 1,918 subjects (844 males and 1,074 females) who participated in health check-up programs in Central Japan. RESULTS: Intakes of energy and 24 nutrients along with 15 food groups estimated using the first questionnaire (FFQ1) were approximately equal to those using the second (FFQ2). Spearman's rank correlation coefficients (CCs) between intakes of nutrients quantified with FFQ1 and FFQ2 in males were distributed as 0.74 - 0.66- 0.55 (maximum - median - minimum), and intraclass CCs (ICCs) as 0.85 - 0.78 - 0.67. Among females, Spearman's rank CCs were distributed as 0.73 - 0.62 - 0.54, and ICCs as 0.84 - 0.77 - 0.69. Percentages of exact agreement, exact agreement plus agreement within adjacent categories and disagreement according to quintile categorization were 43%, 80%, and 1%, for males, and 42%, 79%, and 1% for females. Reproducibility figures were higher for the elderly than for young people in both sexes. CONCLUSIONS: Our FFQ yielded substantially high reproducibility and it may be applicable for assessing consumption of foods/food groups and energy and selected nutrients for the middle-aged and elderly population in Japan.     

Validity of a self-administered food frequency questionnaire against 7-day dietary records in four seasons

The validity of a food frequency questionnaire (FFQ) was evaluated against four 7-d diet records among 23 men aged 27-70 y. Volunteer women recorded the amounts of all foods and beverages consumed by their husbands or fathers over a period of 7 d in four consecutive seasons in 1997 and 1998, and a self-administered FFQ was answered by each man after completion of the fourth diet record. The diet record was kept in accordance with the method used for Japan's National Nutrition Survey. The FFQ ascertained frequencies and amounts of consumption of rice, bread, noodles, green tea, and coffee: consumption frequency of 35 food items; and consumption frequency and amount of five alcoholic beverages. As for most nutrients and foods, mean intakes estimated by the FFQ were lower than those estimated from the diet record. Crude intake of nutrients showed fairly good agreement between the two methods in terms of Pearson's correlation coefficient (r > 0.5), except for total energy (r = 0.23), fat (r = 0.36), and vitamin A (r = 0.29). The adjustment for energy intake generally reduced the correlation; the reduction being fairly large for fat intake and vitamin A (r = 0.19 for both). There was generally good agreement for the intake of foods and beverages with exceptions for fats/oils (Spearman correlation coefficient, rs = 0.30) and other vegetables (rs = 0.35). The highest correlation was observed for alcoholic beverages (rs = 0.91), bread (rs = 0.80), and fruits (rs = 0.77). An FFQ covering a limited number of common foods may be useful in assessing the relative position of an individual's habitual consumption of foods and nutrients; however, the instrument generally underestimates absolute intake.     

Development of a food frequency questionnaire in Koreans

We describe the development of a data-based food frequency questionnaire (FFQ) to determine the relationship between dietary intakes and diseases among Koreans. A total of 224 individuals were recruited to participate in a three-day dietary record survey. In all, 596 food items were consumed. The intakes of 20 nutrients including energy, protein, fat, carbohydrate, vitamins, minerals, and crude fibre were calculated for each food item by multiplying the weight of food consumed by its nutrient content. Some foods, consumed less than five times in a total of three days, were deleted from the preliminary food item list. The number of foods accounting for up to 90 cumulative percentage contribution to nutrient intake was 314. One hundred and seventy seven foods that accounted for up to 0.90 cumulative multiple regression coefficients and 90 cumulative percentage contribution were then selected. By grouping foods, 94 food items were finally included in the questionnaire: Grains and their products (15 food items), potatoes and starch (4), seeds (1), soybean, soybean products and other beans (4), vegetables (22), mushrooms (2), fruits (13), meats (7), eggs (1), fish (7), shellfish (4), other fish (2), seaweed (2), milk and dairy products (4), and beverages (6). Intake frequencies were classified into eight categories. Portion size was determined from food consumption reports in the three-day records. The mean percentage coverage of the 20 nutrient intakes by the developed FFQ was 82.4%. This questionnaire may be useful for ranking diet-related risk factors in Koreans.     

Impact of season of food frequency questionnaire administration on dietary reporting

PURPOSE: Foods consumed near the time of food frequency questionnaire (FFQ) administration may prime the memory, such that FFQ responses emphasize recently consumed foods. This study investigates the effect of season of FFQ administration, a proxy for the recent diet, on FFQ responses. METHODS: FFQ data from 74,958 Shanghai Women's Health Study (SWHS) subjects were compared with FFQ data from these subjects by season of FFQ administration (i.e., winter, spring, summer, and fall). All analyses were adjusted for age, BMI, and energy intake. Furthermore, quintile categories derived from all study subjects were compared with categories derived from the distribution of subjects recruited in the same season. RESULTS: Compared with the study group as a whole, subjects completing the FFQ in winter reported higher intakes of meat (2.1%), vegetable (3.9%), fish (3.1%), and soy foods (4.1%), but lower fruit (- 3.9%) intake. Subjects completing the FFQ in summer reported lower than average meat (- 2.0%), vegetable (- 3.2%), fish (- 2.3%), and soy food (- 4.6%) intakes, but greater fruit intake (0.9%). Completion of the FFQ in spring and fall usually led to intermediate differences from the group average, although fruit intake was 5.9% higher among subjects completing the FFQ in the fall. Variations across macronutrients and micronutrients by season of FFQ administration were smaller. If seasonal FFQ reporting is ignored, up to 13% of subjects would be classified to a different diet intake exposure category. However, reclassification was always to an adjacent category. CONCLUSIONS: FFQ responses varied with season of FFQ administration, consistent with theory that current diet intake influences reporting of habitual past diet intake. However, season of FFQ administration did not alter dietary exposure category assignments sufficiently to effect interpretation of most epidemiologic studies.     

The food propensity questionnaire: concept, development, and validation for use as a covariate in a model to estimate usual food intake

OBJECTIVE: Twenty-four-hour recalls capture rich information on food consumption, but suffer from inadequately measuring usual intakes of episodically consumed foods. We explore using food frequency questionnaire (FFQ) data as covariates in a statistical model to estimate individual usual intakes of episodically consumed foods and their distributions and describe the development of the Food Propensity Questionnaire, an FFQ introduced in the 2003-2004 National Health and Nutrition Examination Survey. DESIGN: We analyzed data from 965 adult participants in the Eating at America's Table Study who completed four 24-hour recalls and an FFQ. We assessed whether or not increasing FFQ-reported frequency was associated with both number of 24-hour recall consumption days and amounts reported. RESULTS: For 52 of 56 food groups (93%), and 218 of 230 individual foods (95%), there were significant monotonically increasing relationships between FFQ frequency and 24-hour recall probability of consumption. For 47 of 56 food groups (84%) and 55 of 230 (24%) individual foods, there were significant positive correlations between FFQ frequencies and consumption-day mean intake. CONCLUSIONS: We found strong and consistent relationships between reported FFQ frequency of food and food-group consumption and probability of consumption on 24-hour recalls. This supports the premise that frequency data may offer important covariate information in supplementing multiple recalls for estimating usual intake of food groups.     

24-hour history is more closely associated with vitamin A status and provides a better estimate of dietary vitamin A intake of deficient Indonesian preschool children than a food frequency method

Objectives To determine if the Simplified Dietary Assessment to Identify Groups at Risk of Inadequate Intake of Vitamin A developed by the International Vitamin A Consultative Group (IVACG) correctly classified a group of vitamin A-deficient children as being at risk, and to see if a food frequency questionnaire (FFQ) or 24-hour history (24HH) yielded estimated dietary vitamin A intakes most closely associated with vitamin A status.

Design Forty-seven foods were identified as contributing most of the vitamin A to the diet of the study population. For each food, usual portion sizes were determined during a pilot study. Intake was calculated from data collected by FFQ and 24HH. Four modifications of the 24HH analysis were made to determine if this method of analysis could be simplified.

Subjects/setting Subjects were 265 Indonesian children with or at high risk of developing xerophthalmia.

Results Mean and median intakes of vitamin A based on the 24HH analysis were 50% and 27% of the US Recommended Dietary Allowance, respectively, which accurately identified the study sample as being at risk. Dietary intake based on the 24HH was significantly associated with serum retinol concentration (P=.01, trend test). Eliciting portion sizes during the 24HH was not necessary once the usual portion sizes consumed by the population were estimated in the pilot study. Mean and median intakes of vitamin A based on the FFQ were 150% and 118% of the Recommended Dietary Allowance, respectively, which suggests that the FFQ overestimated intake. Intake based on the FFQ was not correlated with serum retinol concentration.

Conclusions Our findings do not support the IVACG recommendation that the FFQ be regarded as more reliable than the 24HH when the 2 methods produce different conclusions, nor the recommendation of some users of the method that the 24HH be dropped from the assessment method. J Am Diet Assoc. 2000;100:1501-1507.