Literacy and body fatness are associated with underreporting of energy intake in US low-income women using the multiple-pass 24-hour recall: a doubly labeled water study

Dietary intake and food habits of pregnant women residing in urban and rural areas of Deyang City, Sichuan Province, China

Micronutrient deficiencies and imbalanced dietary intake tend to occur during the reproductive period among women in China. In accordance with traditional Chinese culture, pregnant women are commonly advised to follow a specific set of dietary precautions. The purpose of this study was to assess dietary intake data and identify risk factors for nutritional inadequacy in pregnant women from urban and rural areas of Deyang region, Sichuan province of China. Cross-sectional sampling was applied in two urban hospitals and five rural clinics (randomly selected) in Deyang region. Between July and October 2010, a total of 203 pregnant women in the third trimester, aged 19-42 years, were recruited on the basis of informed consent during antenatal clinic sessions. Semi-structured interviews on background information and 24-h dietary recalls were conducted. On the basis of self-reported height and pre-pregnancy weight, 68.7% of the women had a pre-pregnancy body mass index (BMI) within the normal range (18.5 ≤ BMI < 25), 26.3% were found to be underweight with a BMI <18.5 (20.8% in urban vs. 35.6% in rural areas), while only 5.1% were overweight with a BMI ≥30. In view of acceptable macronutrient distribution ranges (AMDRs) the women's overall dietary energy originated excessively from fat (39%), was low in carbohydrates (49.6%), and reached the lower limits for protein (12.1%). Compared to rural areas, women living in urban areas had significantly higher reference nutrient intake (RNI) fulfillment levels for energy (106.1% vs. 93.4%), fat (146.6% vs. 119.7%), protein (86.9% vs. 71.6%), vitamin A (94.3% vs. 65.2%), Zn (70.9% vs. 61.8%), Fe (56.3% vs. 48%), Ca (55.1% vs. 41%) and riboflavin (74.7% vs. 60%). The likelihood of pregnant women following traditional food recommendations, such as avoiding rabbit meat, beef and lamb, was higher in rural (80%) than in urban (65.1%) areas. In conclusion, culturally sensitive nutrition education sessions are necessary for both urban and rural women. The prevalence of underweight before conception and an insufficient supply of important micronutrients were more pronounced in rural areas. Therefore, attention must be given to the nutritional status, especially of rural women before, or at the latest, during pregnancy.

Under-reporting of energy intake in elderly Australian women is associated with a higher body mass index

OBJECTIVES

Identify the extent of under-reporting of energy intake and the characteristics associated with implausible intakes in elderly women.

DESIGN

Dietary intake was assessed using a 3-day weighed food record. Protein intake was validated by 24-hour urinary nitrogen. To examine under-reporting, participants were grouped according to their energy intake and compared to the Goldberg cut-off equation. Logistic regression was performed to assess the influence of body mass index (BMI) and social-demographic factors on under-reporting.

SETTING

Community dwelling elderly women from Perth, Western Australia.

PARTICIPANTS

217 elderly women aged 70-80 years.

RESULTS

Under-reporters had a higher physical activity level (p<0.001) compared with acceptable-reporters. The under-reporters also had a higher body weight (p=0.006), body mass index (BMI) (p=0.001), waist (p=0.011), hip circumference (p<0.001), whole body fat mass (p<0.001) and percentage body fat (p<0.001) than acceptable-reporters. Under-reporters had a significantly lower intakes of protein, fat, carbohydrate and alcohol (p<0.001) and fewer reported food items, compared with acceptable reporters. However, 24-hour urinary nitrogen was only marginally different between the two groups (p=0.053). Participants with a higher BMI were more likely to under-report their energy intake (BMI=25-29.9: odds ratio=2.98[95% CI=1.46-6.09]; BMI≥30: 5.84[2.41-14.14]).

CONCLUSION

Under-reporting energy intake in elderly women was associated with a higher BMI, body fat and higher self-reported physical activity levels. A higher BMI (≥25) appears to be most significant factor in determining if elderly women will underreport their food intake and may be related to body image. These results have implications for undertaking surveys of food intake in elderly women.

Relative validation of a quantitative FFQ for use in Brazilian pregnant women

OBJECTIVE

To evaluate the ability of an FFQ, designed for use in Brazilian pregnant women, to estimate nutrient intakes during pregnancy.

DESIGN

A prospective study was conducted among 103 pregnant women attended by the Brazilian national health-care service. Food intake during pregnancy was evaluated by three 24 h dietary recalls (24hR), one per trimester of pregnancy, and also by two FFQ. The FFQ with eighty-five food items included questions about frequency of intake and portion sizes during two periods: the first 24 weeks of pregnancy and the pregnancy period as a whole. Deattenuated Pearson’s correlation coefficients and joint classification into quartiles of nutrient intake were applied.

SETTING

Ribeira˜o Preto, Sa˜o Paulo State, Brazil.

SUBJECTS

One hundred and three pregnant women, aged 18–35 years.

RESULTS

Acceptable correlation coefficients (r > 0.35) were found for Ca, K, Zn, Mg, fibre, vitamin C, niacin and folic acid for intake for the first 24 weeks; and for energy, lipids, protein, carbohydrate, Fe, K, Zn, fibre, vitamin B6, riboflavin and niacin for the gestational period as a whole. A high proportion of study participants (≥ 70 %) were categorized into the same or adjacent quartiles for estimated energy, carbohydrate, Ca, K, fibre, Zn, cholesterol, vitamin A, riboflavin, niacin, vitamin C, vitamin E and folic acid. Gross misclassification ranged from 2.3% (dietary fibre) to 12.5% (vitamin A, thiamin and SFA).

CONCLUSIONS

The FFQ is a useful tool for assessing categories of nutrient intake during pregnancy, since a high proportion of women were classified into the same or adjacent quartiles.

Approaches for quantifying energy intake and %calorie restriction during calorie restriction interventions in humans: the multicenter CALERIE study

Calorie restriction (CR) is a component of most weight loss interventions and a potential strategy to slow aging. Accurate determination of energy intake and %CR is critical when interpreting the results of CR interventions; this is most accurately achieved using the doubly labeled water method to quantify total energy expenditure (TEE). However, the costs and analytical requirements of this method preclude its repeated use in many clinical trials. Our aims were to determine 1) the optimal TEE assessment time points for quantifying average energy intake and %CR during long-term CR interventions and 2) the optimal approach for quantifying short-term changes in body energy stores to determine energy intake and %CR during 2-wk DLW periods. Adults randomized to a CR intervention in the multicenter CALERIE study underwent measurements of TEE by doubly labeled water and body composition at baseline and months 1, 3, and 6. Average %CR achieved during the intervention was 24.9 ± 8.7%, which was computed using an approach that included four TEE assessment time points (i.e., TEE(baseline, months 1, 3, and 6)) plus the 6-mo change in body composition. Approaches that included fewer TEE assessments yielded %CR values of 23.4 ± 9.0 (TEE(baseline,) months 3 and 6), 25.0 ± 8.7 (TEE(baseline,) months 1 and 6), and 20.9 ± 7.1% (TEE(baseline, month 6)); the latter approach differed significantly from approach 1 (P < 0.001). TEE declined 9.6 ± 9.9% within 2-4 wk of CR beginning and then stabilized. Regression of daily home weights provided the most reliable estimate of short-term change in energy stores. In summary, optimal quantification of energy intake and %CR during weight loss necessitates a TEE measurement within the first month of CR to capture the rapid reduction in TEE.

Ethnic variation in validity of the estimated obesity prevalence using self-reported weight and height measurements

Background

We examined ethnic differences between levels of body mass index (BMI) based on self-reported and measured body height and weight and the validity of self-reports used to estimate the prevalence of obesity (BMI≥30 kg/m²) in Turkish, Moroccan, and Dutch people in the Netherlands. Furthermore, we investigated whether BMI levels and the prevalence of obesity in Turkish and Moroccan people with incomplete self-reports (missing height or weight) differ from those with complete self-reports.

Methods

Data on self-reported and measured height and weight were collected in a population-based survey among 441 Dutch, 414 Turks and 344 Moroccans aged 18 to 69 years in Amsterdam, the Netherlands in 2004. BMI and obesity were calculated from self-reported and measured height and weight.

Results

The difference between measured and estimated BMI was larger in Turkish and Moroccan women than in Dutch women, which was explained by the higher BMI of the Turkish and Moroccan women. In men we found no ethnic differences between measured and estimated BMI. Sensitivity to detect obesity was low and specificity was high. In participants with available self-reported and measured height and weight, self-reports produced a similar underestimation of the obesity prevalence in all ethnic groups. However, many obese Turkish and Moroccan women had incomplete self-reports, missing height or weight, resulting in an additional underestimation of the prevalence of obesity. Among men (all ethnicities) and Dutch women, the availability of height or weight by self-report did not differ between obese and non obese participants.

Conclusions

BMI based on self-reports is underestimated more by Turkish and Moroccan women than Dutch women, which is explained by the higher BMI of Turkish and Moroccan women. Further, in women, ethnic differences in the estimation of obesity prevalence based on self-reports do exist and are due to incomplete self-reports in obese Turkish and Moroccan women. In men, ethnicity is not associated with discrepancies between levels of BMI and obesity prevalence based on measurements and self-reports. Hence, our results indicate that using measurements to accurately determine levels of BMI and obesity prevalence in public health research seems even more important in Turkish and Moroccan migrant women than in other populations.

Dietary intakes assessed by 24-h recalls in peri-urban African adolescents: validity of energy intake compared with estimated energy expenditure

BACKGROUND/OBJECTIVE

The objective of this study is to determine the relative validity of reported energy intake (EI) derived from multiple 24-h recalls against estimated energy expenditure (EE(est)). Basal metabolic rate (BMR) equations and physical activity factors were incorporated to calculate EE(est).

SUBJECTS/METHODS

This analysis was nested in the multidisciplinary PhysicaL Activity in the Young study with a prospective study design. Peri-urban black South African adolescents were investigated in a subsample of 131 learners (87 girls and 44 boys) from the parent study sample of 369 (211 girls and 158 boys) who had all measurements taken. Pearson correlation coefficients and Bland-Altman plots were calculated to identify the most accurate published equations to estimate BMR (P<0.05 statistically significant). EE(est) was estimated using BMR equations and estimated physical activity factors derived from Previous Day Physical Activity Recall questionnaires. After calculation of EE(est), the relative validity of reported energy intake (EI(rep)) derived from multiple 24-h recalls was tested for three data subsets using Pearson correlation coefficients. Goldberg's formula identified cut points (CPs) for under and over reporting of EI.

RESULTS

Pearson correlation coefficients between calculated BMRs ranged from 0.97 to 0.99. Bland-Altman analyses showed acceptable agreement (two equations for each gender). One equation for each gender was used to calculate EE(est). Pearson correlation coefficients between EI(rep) and EE(est) for three data sets were weak, indicating poor agreement. CPs for physical activity groups showed under reporting in 87% boys and 95% girls.

CONCLUSION

The 24-h recalls measured at five measurements over 2 years offered poor validity between EI(rep) and EE(est).

Energy expenditure in adults living in developing compared with industrialized countries: a meta-analysis of doubly labeled water studies

BACKGROUND

There is an assumption that people in developing countries have a higher total energy expenditure (TEE) and physical activity level (PAL) than do people in developed nations, but few objective data for this assertion exist.

OBJECTIVE

We conducted a meta-analysis of TEE and PAL by using data from countries that have a low or middle human development index (HDI) compared with those with a high HDI to better understand how energy-expenditure variables are associated with development status and population differences in body size.

DESIGN

We performed a literature search for studies in which energy expenditure was measured by using doubly labeled water. Mean data on age, weight, body mass index (BMI; in kg/m(2)), TEE, and PAL were extracted, and HDI status was assessed. Pooled estimates of the mean effect by sex were obtained, and the extent to which age, weight, HDI status, and year of publication explained heterogeneity was assessed.

RESULTS

A total of 98 studies (14 studies from low- or middle-HDI countries) that represented 183 cohorts and 4972 individuals were included. Mean (±SE) BMI was lower in countries with a low or middle HDI than in those with a high HDI for both men and women (22.7 ± 1.0 compared with 26.0 ± 0.7, respectively, in men and 24.3 ± 0.7 compared with 26.6 ± 0.4, respectively, in women). In meta-regression models, there was an inverse association of age (P < 0.001) and a positive association of weight (P < 0.001) with TEE for both sexes; there was an association of age only in men with PAL (P < 0.001). There was no association of HDI status with either TEE or PAL.

CONCLUSION

TEE adjusted for weight and age or PAL did not differ significantly between developing and industrialized countries, which calls into question the role of energy expenditure in the cause of obesity at the population level.

Relation of Children's Dietary reporting accuracy to cognitive ability

A validation study of children's dietary reporting provided an opportunity to investigate whether cognitive ability is a source of systematic error in dietary recalls. From the fall of 2004 through the spring of 2007, fourth-grade children (n = 374) in Columbia, South Carolina, were observed eating school meals and interviewed to obtain 24-hour dietary recalls; subsequently, measures of dietary reporting error were calculated. The common factor extracted from 4 subject-area achievement tests (scores on which were provided by the school district for 362 children) was used as a measure of cognitive ability. For the 325 children who reported school meals that met the criteria to be reports about school meals, as cognitive ability increased, dietary reporting error decreased; the relation between cognitive ability and dietary reporting performance was stronger among girls than among boys. The mean cognitive ability for 37 children who reported no meals that satisfied the criteria for being reports about school meals was significantly lower than that for the 325 children who reported meals that satisfied these criteria. These findings indicate that cognitive ability is a source of systematic error in children's dietary recalls. More generally, the quality of epidemiologic survey data may depend systematically on the cognitive ability of respondents.

Calibration of the dietary data obtained from the Brazilian center of the Natural History of HPV Infection in Men study: the HIM Study

The objective of this study was to estimate the regressions calibration for the dietary data that were measured using the quantitative food frequency questionnaire (QFFQ) in the Natural History of HPV Infection in Men: the HIM Study in Brazil. A sample of 98 individuals from the HIM study answered one QFFQ and three 24-hour recalls (24HR) at interviews. The calibration was performed using linear regression analysis in which the 24HR was the dependent variable and the QFFQ was the independent variable. Age, body mass index, physical activity, income and schooling were used as adjustment variables in the models. The geometric means between the 24HR and the calibration-corrected QFFQ were statistically equal. The dispersion graphs between the instruments demonstrate increased correlation after making the correction, although there is greater dispersion of the points with worse explanatory power of the models. Identification of the regressions calibration for the dietary data of the HIM study will make it possible to estimate the effect of the diet on HPV infection, corrected for the measurement error of the QFFQ.

Shortening the retention interval of 24-hour dietary recalls increases fourth-grade children's accuracy for reporting energy and macronutrient intake at school meals

BACKGROUND

Accurate information about children's intake is crucial for national nutrition policy and for research and clinical activities. To analyze accuracy for reporting energy and nutrients, most validation studies utilize the "conventional approach," which was not designed to capture errors of reported foods and amounts. The "reporting-error-sensitive approach" captures errors of reported foods and amounts.

OBJECTIVE

To extend results to energy and macronutrients for a validation study concerning retention interval (elapsed time between to-be-reported meals and the interview) and accuracy for reporting school-meal intake, the conventional and reporting-error-sensitive approaches were compared. DESIGN AND PARTICIPANTS/SETTING: Fourth-grade children (n=374) were observed eating two school meals, and interviewed to obtain a 24-hour recall using one of six interview conditions from crossing two target periods (prior 24 hours and previous day) with three interview times (morning, afternoon, and evening). Data were collected in one district during three school years (2004-2005, 2005-2006, and 2006-2007).

MAIN OUTCOME MEASURES

Report rates (reported/observed), correspondence rates (correctly reported/observed), and inflation ratios (intruded/observed) were calculated for energy and macronutrients.

STATISTICAL ANALYSES PERFORMED

For each outcome measure, mixed-model analysis of variance was conducted with target period, interview time, their interaction, and sex in the model; results were adjusted for school year and interviewer.

RESULTS

With the conventional approach, report rates for energy and macronutrients did not differ by target period, interview time, their interaction, or sex. With the reporting-error-sensitive approach, correspondence rates for energy and macronutrients differed by target period (four P values <0.0001) and the target period by interview-time interaction (four P values <0.0001); inflation ratios for energy and macronutrients differed by target period (four P values <0.0001), and inflation ratios for energy and carbohydrate differed by the target period by interview-time interaction (both P values <0.005).

CONCLUSIONS

Shortening the retention interval of dietary recalls increases accuracy for reporting energy and macronutrients. For validation studies, it is best to obtain reference information from a method that provides details about foods and amounts consumed and to use an analytic approach that captures errors of reported foods and amounts.

Fourth-grade children's dietary recall accuracy for energy intake at school meals differs by social desirability and body mass index percentile in a study concerning retention interval

Data from a study concerning retention interval and school-meal observation on children's dietary recalls were used to investigate relationships of social desirability score (SDS) and body mass index percentile (BMI%) to recall accuracy for energy for observed (n = 327) children, and to reported energy for observed and unobserved (n = 152) children. Report rates (reported/observed) correlated negatively with SDS and BMI%. Correspondence rates (correctly reported/observed) correlated negatively with SDS. Inflation ratios (overreported/observed) correlated negatively with BMI%. The relationship between reported energy and each of SDS and BMI% did not depend on observation status. Studies utilizing children's dietary recalls should assess SDS and BMI%.

The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation

There is a growing concern about chronic diseases and other health problems related to diet including obesity and cancer. The need to accurately measure diet (what foods a person consumes) becomes imperative. Dietary intake provides valuable insights for mounting intervention programs for prevention of chronic diseases. Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. In this paper, we describe a novel mobile telephone food record that will provide an accurate account of daily food and nutrient intake. Our approach includes the use of image analysis tools for identification and quantification of food that is consumed at a meal. Images obtained before and after foods are eaten are used to estimate the amount and type of food consumed. The mobile device provides a unique vehicle for collecting dietary information that reduces the burden on respondents that are obtained using more classical approaches for dietary assessment. We describe our approach to image analysis that includes the segmentation of food items, features used to identify foods, a method for automatic portion estimation, and our overall system architecture for collecting the food intake information.

Past and current body size affect validity of reported energy intake among middle-aged Danish men

Our objectives were to estimate the degree of misreporting energy intake (EI) and analyze associations with previous BMI, current BMI, or both. The study was part of the Adiposity and Genetics Study follow-up study including 309 Danish men (age 40-65 y) originally sampled from the obligatory draft board examination. Height and weight were measured at the mean ages of 20 (draft board), 33, 44, and 49 y (current age). Obesity was categorized as BMI >or= 31 kg/m(2). Dietary intake for 7 d and physical activity (PA) level (PAL) were self-reported. Resting metabolic rate (RMR) was measured in a ventilated hood system. By comparing EI with energy expenditure and assuming energy balance, reporting accuracy (RA) was estimated as EI/(RMR.PAL). A plausibility interval was calculated to encompass specific variation components of EI, RMR, and PAL; the specific 95% plausibility interval was 1.00 +/- 0.35. Participants were categorized as underreporters (RA <or= 0.65), plausible reporters (0.65 < RA <or= 1.35), or overreporters (RA > 1.35) of EI. The relation between RA and BMI was studied through linear regression analysis. Overall, the RA was (mean +/- SE) 0.76 +/- 0.01. Of 309 participants, 35% underreported and 7% overreported. Whether stratified for current BMI or draft board BMI, the obese men were more likely to underreport than those who were not obese. Among those currently not obese, underreporting was more prevalent among those who were obese at the draft board examination (44%) than among those who were not (21%). Regression analysis showed that both previous and current BMI and their combination were significantly associated with RA. Thus, underreporting of dietary intake seems to be associated with not only current BMI but also with current BMI in combination with previous BMI.

Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice

In order to assess nutritional adequacy, valid estimates of nutrient intake are required. One of the main errors in dietary assessment is misreporting. The objective was to review the extent, nature and determinants of misreporting in dietary assessment, how this affects reported intakes of micronutrients and how this is identified and measured, and to identify the best ways of dealing with misreporting when interpreting results. A systematic literature search was conducted for studies of misreporting of dietary intake in adults by 24 hour recalls or by estimated or weighed food records, published up to March 2008. Thirty-seven relevant studies were identified. Possible causes of misreporting were identified. Methods most used to identify misreporting were the Goldberg cut-off (46 % studies) and the doubly labelled water technique (24 % studies). The magnitude of misreporting of energy intake was similar in all three dietary assessment methods. The percentage of under-reporters was about 30 % and energy intake was underestimated by approximately 15 %. Seven papers presented usable data for micronutrient intake. Absolute intakes of Fe, Ca and vitamin C (the three micronutrients addressed in all papers) were on average 30 % lower in low-energy reporters (LER) than that in non-LER and, although results were not consistent, there was a tendency for micronutrient density to be higher in LER. Excluding underreporters or using energy adjustment methods for micronutrient intakes is discussed. Residual method of energy adjustment seems to be a good tool for practice to decrease an influence of misreporting when interpreting results of studies based on food records and 24 hour recalls.

Impact of dairy and sweetened beverage consumption on diet and weight of a multiethnic population of head start mothers

Mothers with children in Head Start play a critical role in providing healthful diets and modeling good dietary behaviors to their children, but there is little information available on their diet, especially on beverage consumption. The objective of this study was to assess the association of milk and sweetened beverage consumption with nutrient intake, dietary adequacy, and weight of a multiethnic population of Head Start mothers. Using a cross-sectional, secondary analysis, African-American (43%), Hispanic (33%), and white (24%) women (n=609) were divided into four beverage consumption groups: high milk/low sweetened beverage, high milk/high sweetened beverage, low milk/low sweetened beverage, and low milk/high sweetened beverage. Nutrient intake was determined by averaging 24-hour dietary recalls from 3 nonconsecutive days. Dietary adequacy was determined with the Mean Adequacy Ratio. Mean body mass index for the four beverage consumption groups was compared; there were no differences among the groups (overall mean+/-standard error=30.8+/-0.3). Women in the high milk/low sweetened beverage group had higher mean intakes of vitamins A, D, and B-6; riboflavin; thiamin; folate; phosphorus; calcium; iron; magnesium; and potassium (P<0.0125 for all) when compared with the other beverage consumption groups. Mean Adequacy Ratio was highest in the high milk/low sweetened beverage (71.8+/-0.8) and lowest in the low milk/high sweetened beverage (58.4+/-0.8) consumption groups (P<0.0125). Women in the high milk/low sweetened beverage group consumed more nutrient-dense foods. Overall consumption of milk was low. Consumption of high milk/low sweetened beverage was associated with improved nutrient intake, including the shortfall nutrients, ie, calcium, potassium, magnesium, and vitamin A.

Underreporting of food intake among Mexican/Mexican-American Women: rates and correlates

BACKGROUND

Under-reporters are those individuals who report a dietary intake level that is not biologically plausible given their physiological status and physical activity level. Underreporting of food intake threatens the validity of dietary assessment; yet, little is known about the prevalence or correlates of underreporting in the Mexican/Mexican-American community.

OBJECTIVE

To examine underreporting rates and correlates among Mexican/Mexican-American women using dietary data based on repeated 24-hour recalls and the Goldberg equation.

DESIGN

Cross-sectional study of baseline data collected as part of a larger randomized controlled trial through structured interviews and anthropometric measurements.

SUBJECTS/SETTING

A random sample of 357 Mexican/Mexican-American women, ranging in age from 21 to 67 years, living in south San Diego near the United States/Mexico border.

STATISTICAL ANALYSES PERFORMED

Age, income level, education level, and weight status, all correlates of underreporting in samples of non-Hispanic white participants, were examined as potential correlates of underreporting among Mexican/Mexican-American women using binary logistic regression. Acculturation was examined to determine if it accounted for additional variance in underreporting. Finally, multivariate analyses using backward stepwise regression were conducted to determine which correlates remained significant in the final model.

RESULTS

Rates of underreporting varied across the five detection methods employed, from 11.9% (n=42) to 81.3% (n=286). Obese weight status was the only significant correlate across all five underreporting detection methods and remained significant in the final model. Using backward stepwise regression, the final model showed weight status to be a significant correlate of underreporting both at the overweight (P<0.05) and obese levels (P<0.01). In addition, Anglo orientation score (P<0.05) remained significant in the final model, as well as the age group of 51 years or older (P<0.05).

CONCLUSIONS

Consistent with previous studies, under-reporters in this Mexican/Mexican-American sample were more likely to be overweight or obese, and were older. They also were more likely to identify with the dominant Anglo culture. Additional studies are needed to further examine underreporting error in dietary assessment among Latinos, and to determine whether the effects of acculturation on underreporting are found in other Latino subgroups.

Development and evaluation of a brief screener to estimate fast-food and beverage consumption among adolescents

Sweetened beverage and fast-food intake have been identified as important targets for obesity prevention. However, there are few brief dietary assessment tools available to evaluate these behaviors among adolescents. The objective of this research was to examine reliability and validity of a 22-item dietary screener assessing adolescent consumption of specific energy-containing and non-energy-containing beverages (nine items) and fast food (13 items). The screener was administered to adolescents (ages 11 to 18 years) recruited from the Minneapolis/St Paul, MN, metro region. One sample of adolescents completed test-retest reliability of the screener (n=33, primarily white adolescents). Another adolescent sample completed the screener along with three 24-hour dietary recalls to assess criterion validity (n=59 white adolescents). Test-retest assessments were completed approximately 7 to 14 days apart, and agreement between the two administrations of the screener was substantial, with most items yielding Spearman correlations and kappa statistics that were >0.60. When compared to the gold standard dietary recall data, findings indicate that the validity of the screener items assessing adolescents' intake of regular soda, sports drinks, milk, and water was fair. However, the differential assessment periods captured by the two methods (ie, 1 month for the screener vs 3 days for the recalls) posed challenges in analysis and made it impossible to assess the validity of some screener items. Overall while these screener items largely represent reliable measures with fair validity, our findings highlight the challenges inherent in the validation of brief dietary assessment tools.

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes

BACKGROUND

The US Department of Agriculture Automated Multiple-Pass Method (AMPM) is used for collecting 24-h dietary recalls in What We Eat In America, the dietary interview component of the National Health and Nutrition Examination Survey. Because the data have important program and policy applications, it is essential that the validity of the method be tested.

OBJECTIVE

The accuracy of the AMPM was evaluated by comparing reported energy intake (EI) with total energy expenditure (TEE) by using the doubly labeled water (DLW) technique.

DESIGN

The 524 volunteers, aged 30-69 y, included an equal number of men and women recruited from the Washington, DC, area. Each subject was dosed with DLW on the first day of the 2-wk study period; three 24-h recalls were collected during the 2-wk period by using the AMPM. The first recall was conducted in person, and subsequent recalls were over the telephone.

RESULTS

Overall, the subjects underreported EI by 11% compared with TEE. Normal-weight subjects [body mass index (in kg/m(2)) < 25] underreported EI by <3%. By using a linear mixed model, 95% CIs were determined for the ratio of EI to TEE. Approximately 78% of men and 74% of women were classified as acceptable energy reporters (within 95% CI of EI:TEE). Both the percentage by which energy was underreported and the percentage of subjects classified as low energy reporters (<95% CI of EI:TEE) were highest for subjects classified as obese (body mass index > 30).

CONCLUSIONS

Although the AMPM accurately reported EIs in normal-weight subjects, research is warranted to enhance its accuracy in overweight and obese persons.

Underreporting of energy intake and associated factors in a Latino population at risk of developing type 2 diabetes

The objective of this study was to examine the extent of underreporting of total energy intake and associated factors in a low-income, low-literacy, predominantly Caribbean Latino community in Lawrence, MA. Two hundred fifteen Latinos participated in a diabetes prevention study, for which eligibility included a >or=30% risk of developing diabetes in 7.5 years. Dietary self-reported energy intake was assessed using three randomly selected days of 24-hour diet recalls. Basal metabolic rate (BMR) was estimated using the Mifflin-St Jeor equation. Underreporting was determined by computing a ratio of energy intake to BMR, with a ratio of 1.55 expected for sedentary populations. Linear regression analyses were used to identify factors associated with underreporting (energy intake:BMR ratio). The population was predominately women (77%), middle-aged (mean 52+/-11 years), obese (78% had a body mass index >or=30); low-literate (62% < high school education), unemployed (57% reported no job), married or living with partner (52%), and some had a family history of diabetes (37% had siblings with diabetes). Reported total daily energy intake was 1,540+/-599 kcal, whereas estimated BMR was 1,495.7+/-245.1 kcal/day. When multiplied by an activity factor (1.20 for sedentariness), expected energy intake was 1,794+/-294.0 per day, indicating underreporting by an average of 254 kcal/day. Mean energy intake:BMR was 1.03+/-0.37, and was lower for participants with higher body mass index, siblings with diabetes, sedentary lifestyle, and those who were unemployed. Energy intake underreporting is prevalent in this low-income, low-literacy Caribbean Latino population. Future studies are needed to develop dietary assessment measures that minimize underreporting in this population.

The relationship of body size to participation and success in a fruits and vegetables intervention among low-income women

We examined participation and dietary change among women participants in a community-based nutrition education program, to determine whether intervention results differed by participant body size. Four dietary indicators (daily servings of fruits and vegetables, total calories, calories from fat, and Healthy Eating Index score) were assessed from 24-h recalls taken before, immediately after, and 4 months after a seven-session nutritional education program, from 156 African-American women age 20-50, in Washington, D.C. public housing. Knowledge, attitudes and practices related to nutritional behavior change were collected at three time points as well. Random effect models were used to examine dietary patterns, and compare change by body size and class attendance. Results showed that obese women (BMI > or = 30) had more psychosocial barriers to dietary change and poorer baseline diets, but stronger program attendance. Post-intervention, both groups consumed approximately 250 fewer calories and 2.5% fewer calories from fat. At follow-up, non-obese women consumed significantly fewer calories; obese women consumed significantly fewer calories from fat, and showed significant improvement in HEI. Given the prevalence of obesity in low resource communities, nutritional interventions should tailor strategies to participant body size and related psychosocial needs.

Technology-Assisted Dietary Assessment

Dietary intake provides valuable insights for mounting intervention programs for prevention of disease. With growing concern for adolescent obesity, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and have less enthusiasm for recording food intake. Preliminary studies among adolescents suggest that innovative use of technology may improve the accuracy of diet information from young people. In this paper, we propose a novel food record method using a mobile device that will provide an accurate account of daily food and nutrient intake among adolescents. Our approach includes the use of image analysis tools for identification and quantification of food consumption. Images obtained before and after food is consumed can be used to estimate the diet of an individual. In this paper we describe our initial results and indicate the potential of the proposed system.

Evaluation of a short dietary assessment instrument for percentage energy from fat in an intervention study

The need for an inexpensive measure of dietary intake in intervention studies led to evaluation of the National Cancer Institute (NCI) Percentage Energy from Fat short instrument (PFat) in a subgroup of the Behavioral Change Consortium (BCC) intervention sites. The PFat's performance was evaluated using multiple nonconsecutive 24-h dietary recalls (24HR) as a reference instrument among participants at baseline in 4 demographically diverse intervention sites of the BCC. Mean estimates of percentage energy from fat for 24HR and PFat were within 2.1 percentage points of each other in all but 2 site/gender comparisons. 24HR and PFat estimates were not significantly different (P < 0.05) among men for 2 of 3 sites, and among women for 2 of 4 sites. Deattenuated Pearson correlation coefficients for the PFat and true intake (as estimated from the 24HR using a measurement error model) were significantly different from 0 (P < 0.05) for men and women in all sites, ranging from 0.52 to 0.77 among men and 0.36 to 0.59 among women. Besides gender and site, no other factors examined (age, education, smoking status, and BMI) consistently moderated validity estimates. If accurate assessment of diet at baseline (and presumably at follow-up) is essential, a more detailed instrument such as multiple 24HR may be warranted. The question of whether the PFat adequately measures change in diet is addressed in another article in this supplement.

The association between self-reported acrylamide intake and hemoglobin adducts as biomarkers of exposure

BACKGROUND

The validity of epidemiological studies assessing a lifetime cancer risk due to environmental factors, such as nutrition or smoking behavior strongly depends on the validity of the patient's history.

OBJECTIVES

This study assesses whether a standardized questionnaire is a valid tool to identify exposure with acrylamide by relating the self-reported food and smoking history with a biomarker, namely hemoglobin-adduct levels of acrylamide.

METHODS

Objective parameters of previous exposure, such as hemoglobin-adduct levels of acrylamide and of the smoking-specific acrylonitrile, respectively, were related to self-reported data in 1,008 volunteers of the general population in bivariate analyses and a multiple linear regression analysis using the log-transformed biomarker levels as outcome.

RESULTS

Smoking was significantly associated with adduct levels of acrylamide (p < 0.0001) and had a main contribution to the internal burden with acrylamide. In cigarette smokers a strong correlation between the number of cigarettes smoked daily and the corresponding biomarkers was observed. Focusing on non-smokers (n = 828), a significant but weak correlation was found in bivariate analyses (Spearman rank correlation coefficient: 0.178 (95% CI: 0.089-0.268) in females and 0.168 (95% CI: 0.063-0.273) in males. A multiple linear regression analysis similarly yielded evidence of a significant association between the highest intake category and adduct levels; however, explained variability was very small (R(2) = 0.08).

CONCLUSION

Self-reported data concerning smoking behavior were highly valid, while self-reported food intake is apparently not as useful for estimating food-related acrylamide exposure.

State of the Art Reviews: Relationship Between Diet/ Physical Activity and Health

Obesity and 4 of the leading causes of death—heart disease, cancer, stroke, and type 2 diabetes mellitus—are related to lifestyle. The combination of a healthy weight, prudent diet, and daily physical activity clearly plays a role in primary, secondary, and tertiary prevention of these and other chronic diseases. Because nearly 65% of the adult population is overweight or obese, weight loss and maintenance are central to this review article. Improved lipid profiles, blood pressure, insulin sensitivity, and euglycemia are associated with weight loss or a normal body weight; thus, maintaining a healthy weight is a universal recommendation for health. The methods for improving lifestyle described in the section on obesity include assessing nutritional status and stages of change of the client, setting realistic goals, eating a diet high in fruits and vegetables with low-fat sources of dairy and protein, and achieving appropriate physical activity levels. The importance of physicians discussing weight with clients and vice versa is stressed. The common features of lifestyle-related diseases make them amenable to similar lifestyle interventions.

Development and evaluation of a short instrument to estimate usual dietary intake of percentage energy from fat

OBJECTIVE

To describe the data-based development of a short dietary assessment instrument, a 16-item screener; and to evaluate the performance of the screener, comparing its performance with a complete 120-item food frequency questionnaire (FFQ) in assessing percentage energy from fat intake.

DESIGN

A subsample (n=404) of participants in the National Institutes of Health-AARP Diet and Health Study, who had completed an FFQ and two 24-hour dietary recalls, also completed the fat screener. Percentage energy from fat from the screener and from the FFQ were compared with estimated true usual intake using a measurement error model.

RESULTS

For men, the mean percentage energy from fat estimates for the different methods were: recalls, 30.1%, screener, 29.9%; FFQ, 30.4%. For women, the results were: recalls, 31.3%, screener, 28.4%, FFQ, 30.0%. Estimated correlations between true intake and screener were 0.64 and 0.58 for men and women, respectively, and between true intake and FFQ were 0.67 for men and 0.72 for women. Estimated attenuation coefficients for the screener were 1.29 (men) and 0.98 (women) and for the FFQ were 0.56 (men) and 0.57 (women).

CONCLUSIONS

The percentage energy from fat screener, when used in conjunction with external reference data, may be useful to compare mean intakes of fat for different population subgroups, and to examine relationships between fat intake and other factors.

High levels of low energy reporting on 24-hour recalls and three questionnaires in an elderly low-socioeconomic status population

Studies of low energy reporting in the elderly are limited, yet changes in energy balance and the incidence of chronic disease make this a critical time to assess energy intake in this population. The objective of this study was to assess low energy reporting on 24-h recalls (24HR), a FFQ, a picture sort FFQ (PSFFQ), and a meal pattern questionnaire (MPQ), and to relate low energy reporting status to personal characteristics and dietary characteristics, including the Healthy Eating Index. Monthly 24HR were completed over 6 mo, followed by 3 interviewer-administered questionnaires. The Goldberg equation was used to determine reporting status for the dietary assessment methods among older, rural, low socioeconomic status, white, African American, and Native American men and women. The relations of variables of interest to low energy reporting were considered one at a time and in multiple logistic regression models. The percentage of participants classified as accurate reporters varied from 40% (FFQ) to 63% (PSFFQ) among men and 60% (24HR, PSFFQ, MPQ) to 63% (FFQ) among women; high energy reporting was observed on the MPQ. Low energy reporters on the FFQ tended to be men and to be overweight or obese (P < 0.05). Underreporting seemed to be due to omitting foods from major food groups as well as from omitting discretionary energy foods. There was a high degree of low energy reporting in this population, particularly by men, even with six 24HR.

Adiposity, education and weight loss effort are independently associated with energy reporting quality in the Ontario Food Survey

OBJECTIVES

To examine the associations of adiposity, dietary restraint and other personal characteristics with energy reporting quality.

DESIGN/SUBJECTS

Secondary analysis of 230 women and 158 men from the 1997/98 Ontario Food Survey.

METHODS

Energy reporting quality was estimated by ratios of energy intake (EI) to both basal metabolic rate (BMR) and total energy expenditure (TEE). Multivariate regression analyses were conducted to examine energy reporting quality between two dietary recalls and in relation to body mass index (BMI) with adjustment for potential confounders. Energy reporting quality was explored across categories of age, BMI, income, education, dieting status and food insecurity through analysis of variance (ANOVA).

RESULTS

From the ANOVA, energy reporting quality was associated with BMI group, age category and weight loss for men and women, as well as with education among women (P 0.05). EI:BMR and EI:TEE on the first and second 24-hour recalls were positively related (P < 0.0001 for men and women). A higher proportion of variance in energy reporting quality was explained for women than for men (R2 = 0.19 and 0.14, respectively).

CONCLUSIONS

Studies of diet and adiposity are probably hindered to some extent by BMI-related variation in energy reporting quality. Methods to address this issue are urgently needed if population surveys will continue to serve as the primary source of dietary intake data.

Validation of dietary intake data in black women with type 2 diabetes

The validity of baseline dietary intake data in women participating in a culturally competent intervention study for black women with type 2 diabetes was assessed. The relationship of sociodemographic and physiologic factors with underreporting of dietary intake was determined. Criterion validity of dietary intake, which had been assessed using the Nutritionist Five Collection Form, a combination of a standard 2-day dietary recall and a modified, culturally appropriate food frequency questionnaire, was determined. Data were analyzed using First Data Bank Nutritionist Five (version 2.3, 2000, First Data Bank, San Bruno, CA) software. Validation of baseline dietary data in 109 women was performed by calculating the ratio of energy intake to resting metabolic rate. Chi(2) and t tests were used to assess relationships between underreporting and sociodemographic and physiologic factors. Mean ratio of energy intake to resting metabolic rate was 1.46 (+/-0.4). Using a lower limit of 1.35, the prevalence of underreporting was 46.8%. Underreporting was significantly associated with body mass index (P< or =0.001) and waist circumference (P<0.001). Use of this combined dietary recall and modified food frequency questionnaire might, therefore, provide more accurate dietary assessment in this population. Additional modification and validity testing is warranted in this and other populations.

Poor Nutrient Intake and High Obese Rate in an Urban African American Population with Hypertension

OBJECTIVE

To describe the nutrient intake patterns and general health conditions in an African American (AA) hypertensive population living in Detroit, MI.

METHODS

Demographic, anthropometric, general health condition and 3-day dietary recalls were collected from 387 AAs in community-based settings. Only data from 342 participants who met the inclusion criteria were reported.

RESULTS

The obesity and type 2 diabetes prevalence in this minority population were significantly higher, and both energy and nutrient intakes were significantly lower than the RDAs or those reported in NHANES. Female participants reported their highest weight at an earlier age but their body weight reduced in the older group. No such trend was observed in male participants. Both males and females consumed significantly fewer servings of fruit, vegetable and grains as recommended by USDA. As household income increased, the consumption of fruits and vegetables were also increased.

CONCLUSION

In order to reduce the incidence of obesity and hypertension in this minority population, dietary intervention should begin at adolescence or even earlier. DASH diet would be beneficial for this population.

Effects of an exercise intervention on other health behaviors in overweight/obese post-menopausal women

BACKGROUND

Little is known about whether initiating physical activity induces change in other health-related behaviors. If other behaviors do change with increasing physical activity, this would complicate interpretation of differences in study outcomes in exercise intervention trials.

DESIGN

Randomized controlled trial.

SETTING/PARTICIPANTS

173 sedentary, overweight (body mass index between 24.0 and 25.0 kg/m2 with body fat>33% or BMI>or=25.0 kg/m2), postmenopausal women, ages 50 to 75 years, not using hormone therapy, and living in the Seattle, WA area.

INTERVENTION

Participants were randomly assigned to an exercise intervention (n=87) or a stretching-control group (n=86). The exercise intervention included facility and home-based moderate-intensity exercise.

MAIN OUTCOME MEASURES

Changes in dietary intake, alcohol consumption, and medication and supplement use were compared from baseline to 3- and 12-month follow-up between exercise and control groups, and by tertiles of exercise adherence. Data were collected between January 1998 and July 2001.

RESULTS

In general, changes in dietary intake between the exercise and control group were not statistically different. The exercise group had a greater increase in the proportion of participants who used multivitamins (+5%) compared to the control group (-10%) at 3 months (p-interaction=0.04), but not at 12 months (p-interaction=0.58). Furthermore, there were few differences when comparing changes in health behaviors across exercise adherence tertiles.

CONCLUSIONS

Our results suggest that participation in a year-long exercise intervention trial among post-menopausal women has little effect on other health behaviors. These findings suggest that additional behavior changes in exercise trials are minimal and unlikely to bias primary study results.

Body mass index, sex, interview protocol, and children's accuracy for reporting kilocalories observed eaten at school meals

This pilot study investigated body mass index (BMI; calculated as kg/m(2)), sex, interview protocol, and children's accuracy for reporting kilocalories. Forty 4th-grade children (20 low-BMI: >or=5th and <50th percentiles, 10 boys, 15 African American; 20 high-BMI: >or=85th percentile, 10 boys, 15 African American) were observed eating school meals (breakfast, lunch) and interviewed either that evening about the prior 24 hours or the next morning about the previous day, with 10 low-BMI (5 boys) and 10 high-BMI (5 boys) children per interview protocol. Five kilocalorie variables were analyzed using separate four-factor (BMI group, sex, race, interview protocol) analyses of variance. No effects were found for reported or matched kilocalories. More kilocalories were observed (P<0.02) and omitted (P<0.05) by high-BMI than low-BMI children. For intruded kilocalories, means were smaller (better) for high-BMI girls than high-BMI boys, but larger for low-BMI girls than low-BMI boys (interaction P<0.04); low-BMI girls intruded the most while high-BMI girls intruded the least. For interview protocol, omitted and intruded kilocalories were higher (worse), although not significantly so (P values <0.11), for interviews about the previous day than the prior 24 hours. These results illuminate relations of BMI, sex, interview protocol, and children's reporting accuracy, and are consistent with results concerning BMI and sex from studies with adults.

Children's dietary reporting accuracy over multiple 24-hour recalls varies by body mass index category

This secondary analysis investigated the influence of body mass index (BMI) category and sex on reporting accuracy during multiple 24-hour dietary recalls. On three occasions, each of 79 children (40 girls) was observed eating school meals and interviewed the next morning about the previous day's intake, with ≥ 25 days between any two consecutive occasions for a child. Using age/sex BMI percentiles, we categorized 48 children as healthy weight (≥ 5(th) percentile <85(th)), 14 as at risk of overweight (≥ 85(th) percentile <95(th)), and 17 as overweight (≥95(th) percentile). A repeated-measures analysis was conducted for each of five outcomes (number of items observed eaten, number of items reported eaten, omission rate, intrusion rate, total inaccuracy). For items observed, BMI category x trial was marginally significant (P=0.079); over trials, this outcome was stable for healthy-weight children, decreased and stabilized for at-risk-of-overweight children, and was stable and decreased for overweight children. This outcome was greatest for overweight children and least for healthy-weight children (P=0.015). For items reported, no significant effects were found. For omission rate (P=0.028) and intrusion rate (P=0.083), BMI category x trial was significant and marginally significant; over trials, both decreased for healthy-weight children, decreased and stabilized for at-risk-of-overweight children, and increased and stabilized for overweight children. Total inaccuracy decreased slightly over trials (P=0.076); this outcome was greater for boys than for girls (P=0.049). Results suggest that children's dietary reporting accuracy over multiple recalls varies by BMI category. Validation studies with adequate samples for each BMI category, sex, and race are needed.

Racial differences in correlates of misreporting of energy intake in adolescent females

OBJECTIVE

To determine the extent of misreporting of energy intake (EI) and its anthropometric, demographic, and psychosocial correlates in a bi-racial cohort of young women.

RESEARCH METHODS AND PROCEDURES

This was a cross-sectional study of 60 black and 60 white young women, 18 to 21 years old, enrolled in a longitudinal study. Total energy expenditure was assessed using doubly labeled water. Self-reported EI was obtained from 3-day food records. BMI was computed from height and weight. Fat mass was assessed by DXA. Multivariate analyses examined racial differences on the extent of misreporting and its effect on other potential correlates of misreporting. Race-specific step-wise linear regression analysis was performed to examine the effect of BMI, parental education, and drive for thinness on misreporting of EI.

RESULTS

More white women tended to under-report EI than black women (22% vs. 13%, p = 0.07). In black women, under-reporting was significantly (p = 0.01) associated with drive for thinness score but was only marginally (p = 0.1) associated with BMI. Each point increase in drive for thinness score was associated with under-reporting by 40 kcal/d. In white women, under-reporting was significantly (p = 0.03) associated with higher parental education by 440 kcal/d and also only marginally (p = 0.09) with BMI.

DISCUSSION

This tendency for under-reporting of EI limits the use of self-reported EI in studying energy balance in free-living subjects. Most black and almost all white women in their late teens significantly under-reported their EI, whereas under-reporting was not as evident among lean young black women.

Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre

OBJECTIVES

We describe the methods used to develop and score a 17-item 'screener' designed to estimate intake of fruit and vegetables, percentage energy from fat and fibre. The ability of this screener and a food-frequency questionnaire (FFQ) to measure these exposures is evaluated.

DESIGN

Using US national food consumption data, stepwise multiple regression was used to identify the foods to be included on the instrument; multiple regression analysis was used to develop scoring algorithms. The performance of the screener was evaluated in three different studies. Estimates of intakes measured by the screener and the FFQ were compared with true usual intake based on a measurement error model.

SETTING

US adult population.

SUBJECTS

For development of instrument, n=9323 adults. For testing of instrument, adult men and women in three studies completing multiple 24-hour dietary recalls, FFQ and screeners, n=484, 462 and 416, respectively.

RESULTS

Median recalled intakes for examined exposures were generally estimated closely by the screener. In the various validation studies, the correlations between screener estimates and estimated true intake were 0.5-0.8. In general, the performances of the screener and the full FFQ were similar; estimates of attenuation were lower for screeners than for full FFQs.

CONCLUSIONS

When coupled with appropriate reference data, the screener approach described may yield useful estimates of intake, for both surveillance and epidemiological purposes.

Secular trends in children's sweetened-beverage consumption (1973 to 1994): the Bogalusa Heart Study

OBJECTIVE

To determine whether children's sweetened-beverage consumption has changed over a 21-year period (1973 to 1994) in Bogalusa, LA, and whether trends in energy intake, milk consumption, and body mass index (BMI) varied among the sweetened-beverage consumption groups.

DESIGN

Information on food and nutrient intake was derived from a single 24-hour dietary recall collected from children who participated in one of seven cross-sectional surveys.

SUBJECTS/SETTING

A total of 1,548 10-year-old children (65% white, 35% African American; 51% female, 49% male) were randomly selected to participate in the study.

STATISTICAL ANALYSES

The Cochran-Armitage Trend test was applied to examine the trends in sweetened-beverage consumption by 10-year-old children over a 21-year period. A general linear model was used to examine the trend in milk consumption, energy intake, and BMI among the sweetened-beverage consumption groups.

RESULTS

The percentage of children consuming sweetened beverages significantly decreased from 83% (1973) to 81% (1994) (P <.05), particularly consumption of soft drinks (P <.01) and coffee with sugar ( P <.0001). However, the mean gram amount of tea with sugar consumed significantly increased (P <.0001), with no changes in the mean gram amount of fruit drinks, soft drinks, and coffee with sugar consumed. When comparing tertiles of sweetened-beverage consumption over time, the mean gram consumption significantly increased from 1973 to 1994 for those children who were in the medium (P <.001) to high (P <.0001) tertiles. The mean BMI significantly increased (P <.001) from 1973 to 1994 in children within all of the sweetened-beverage consumption groups; however, there were no significant differences in total BMI across the sweetened-beverage consumption groups. The total gram amount of milk consumption was significantly lower in the medium to high sweetened-beverage consumption groups compared with the lower to no sweetened-beverage consumption groups. Total energy intake remained unchanged from 1973 to 1994 within all four sweetened-beverage consumption groups. Total energy intake was significantly higher in the high sweetened-beverage consumption group compared with the other three sweetened-beverage consumption groups.

CONCLUSIONS

Children's sweetened-beverage consumption has changed over a 21-year period. The percentage of children consuming sweetened beverages decreased from 1973 to 1994, particularly consumption of soft drinks and coffee with sugar. Data suggest that there was no linear relationship between sweetened-beverage consumption and BMI and total energy intake. However, total milk consumption was lower in the medium to high sweetened-beverage consumption groups compared with the low to no consumption groups. More studies are needed to confirm these regional findings, which may not be reflective of national trends.

Improvement of metabolism among obese breast cancer survivors in differing weight loss regimens

OBJECTIVE

To compare the efficacy of different weight loss regimens on body weight loss and metabolic improvement in breast cancer survivors.

RESEARCH METHODS AND PROCEDURES

Forty-eight obese breast cancer survivors were randomly divided into four groups and were followed for 1 year: 1) the Control group (subjects did not receive specific nutrition counseling); 2) the Weight Watchers group (subjects were given free coupons to attend weekly Weight Watchers meetings); 3) the Individualized group (a registered dietitian provided one-on-one nutritional counseling); and 4) the Comprehensive group (subjects received individualized dietary counseling and free coupons for the weekly Weight Watchers meetings). At baseline and 3-, 6-, and 12-month data collection visits, a fasting blood sample was obtained for assays. A three-day dietary record was kept during the week before these visits and dietary intake was analyzed.

RESULTS

Subjects in the three intervention groups lost weight (Control: 1.1 +/- 1.7 kg; Weight Watchers: -2.7 +/- 2.1 kg; Individualized: -8.0 +/- 1.9 kg; Comprehensive: -9.5 +/- 2.7 kg) and percentage body fat, but only the Individualized and Comprehensive groups had significant losses. Subjects in the Comprehensive group showed the most improvement in cholesterol levels and had reductions in blood leptin levels.

DISCUSSION

Because insulin resistance and high blood leptin levels are associated with breast cancer, losing weight to improve these parameters may reduce the risk of recurrence. Only subjects in the Comprehensive group showed significant reductions in body weight and fat, energy intake, and leptin levels. For breast cancer survivors, different weight loss strategies should be considered to assist them in losing weight.

US youths in the early stages of HIV disease have low intakes of some micronutrients important for optimal immune function

OBJECTIVE

We examined the association between micronutrient intakes and human immunodeficiency virus (HIV) infection in youths who were at increased nutritional risk because of the demands of growth and disease as well as poor dietary habits.

DESIGN

This was a cross-sectional study to collect dietary intake data using the Block Food Frequency Questionnaire (98.2). Anthropometric, biochemical, clinical, and sociodemographic data were available.Subjects/Setting Participants included 264 HIV-infected and 127 HIV-uninfected adolescents and young adults from the Reaching for Excellence in Adolescent Care and Health network, a multisite observational study on HIV progression. Statistical analyses CD4(+) T cells were stratified for HIV-infected youths: >/=500, 200 to 499, and <200 cells/microL. Micronutrient intakes were compared by presence of HIV infection, using two-sample Student's t tests. Categoric analyses used chi(2) test. Generalized linear regression determined predictors of vitamins A, C, and E; iron; and zinc intakes.

RESULTS

Almost half (49.0%) of the HIV-infected participants had CD4(+) T cells >/=500 cells/microL. After controlling for other factors, HIV-infected participants with CD4(+) T cells >/=500 had decreased iron intake (P<.05) and tended to be associated with lower intakes of vitamins C and E (P<.10) compared with those with more advanced disease and HIV-uninfected youths. Among those youths with CD4(+) T cells between 200 and 499 cells/microL, a high anxiety score was associated with a sixfold increase in vitamin A intake as compared with those with a low score.Applications/conclusions Given the increased micronutrient requirements, nutrition counseling with HIV-infected youths should focus on early increase of intake of foods rich in micronutrients to improve growth, slow disease progression, and increase survival.

Accuracy of estimation of large food portions

To examine accuracy of reporting of large food portions, 50 adults were invited to eat a restaurant meal that included a hamburger patty, french fries, and ice cream. After eating, participants were asked to estimate the amount of food consumed using commonly used and larger-sized food models as a guide. With the use of commonly used models, underreporting was evident for all three foods. For example, the amount of hamburger patty consumed was on average 4.01 oz, although the average amount reported was 3.04 oz (P<.05). When larger-sized models were used, the amount reported more closely matched the amount consumed, although underreporting persisted for the hamburger patty and french fries. In summary, significant underreporting of large food portions may result when commonly used food models are used to assist individuals in reporting food portions.

Accuracy of reporting dietary intake using various portion-size aids in-person and via telephone

OBJECTIVE

This study compared the accuracy with which respondents reported food intake using different portion-size estimation aids (PSEAs) and determined whether the interview technique affected the accuracy of reporting.

DESIGN

Participants chose preweighed foods from a buffet line, leftovers were weighed, and actual amounts eaten were calculated. The next day during dietary interviews, participants estimated amounts eaten using one of four procedures, including telephone or in-person interviews, two-dimensional or three-dimensional PSEAs, and guiding or not guiding participants to certain aids.

SUBJECTS

A total of 120 persons, ages 18 to 65 years, representing both genders were recruited through advertisements, local churches, and universities.

STATISTICAL ANALYSIS

Analysis of variance and least significant differences were calculated for mean percentage estimation error. Frequencies and Pearson correlation coefficients were used to determine percentage misestimations and relationships between estimations and perceived healthfulness of the food and confidence in the estimate made.

RESULTS

In general, accuracy of reporting food amounts was not significantly different for the different types of aids or for the interview technique. Participants frequently overestimated the intake by more than 20% for solids (four overestimations and zero underestimations) and liquids (13 overestimations and one underestimation), and both over- and underestimated amorphous (mounding) foods by more than 20% (six underestimations and seven overestimations). Misestimation was unrelated to perceived healthfulness of the food or respondent confidence in the estimate.

CONCLUSIONS

In this study, portion-size data, based on PSEAs used in dietary recalls for estimating amounts eaten, were useful for measuring dietary intake for population-based studies. Individual respondent data, however, may be inaccurate and should be supplemented with additional information to improve assessment of individual nutritional status. Techniques such as telephone interviewing and guiding respondents to certain aids seem useful for reducing the burden of dietary assessment.

Psychosocial predictors of energy underreporting in a large doubly labeled water study

BACKGROUND

Underreporting of energy intake is associated with self-reported diet measures and appears to be selective according to personal characteristics. Doubly labeled water is an unbiased reference biomarker for energy intake that may be used to assess underreporting.

OBJECTIVE

Our objective was to determine which factors are associated with underreporting of energy intake on food-frequency questionnaires (FFQs) and 24-h dietary recalls (24HRs).

DESIGN

The study participants were 484 men and women aged 40-69 y who resided in Montgomery County, MD. Using the doubly labeled water method to measure total energy expenditure, we considered numerous psychosocial, lifestyle, and sociodemographic factors in multiple logistic regression models for prediction of the probability of underreporting on the FFQ and 24HR.

RESULTS

In the FFQ models, fear of negative evaluation, weight-loss history, and percentage of energy from fat were the best predictors of underreporting in women (R(2) = 0.09); body mass index, comparison of activity level with that of others of the same sex and age, and eating frequency were the best predictors in men (R(2) = 0.10). In the 24HR models, social desirability, fear of negative evaluation, body mass index, percentage of energy from fat, usual activity, and variability in number of meals per day were the best predictors of underreporting in women (R(2) = 0.22); social desirability, dietary restraint, body mass index, eating frequency, dieting history, and education were the best predictors in men (R(2) = 0.25).

CONCLUSION

Although the final models were significantly related to underreporting on both the FFQ and the 24HR, the amount of variation explained by these models was relatively low, especially for the FFQ.

Position of the American Dietetic Association: use of nutritive and nonnutritive sweeteners

Sweeteners elicit pleasurable sensations with (nutritive) or without (nonnutritive) energy. Nutritive sweeteners (eg, sucrose, fructose) are generally recognized as safe (GRAS) by the Food and Drug Administration (FDA), yet concern exists about increasing sweetener intakes relative to optimal nutrition and health. Dietary quality suffers at intakes above 25% of total energy (the Institutes of Medicine's suggested maximal intake level). In the United States, estimated intakes of nutritive sweeteners fall below this, although one in four children (ages 9 to 18 years) can surpass this level. Polyols (sugar alcohols), GRAS-affirmed or petitions filed for GRAS, add sweetness with reduced energy and functional properties to foods/beverages and promote dental health. Five nonnutritive sweeteners with intense sweetening power have FDA approval (acesulfame-K, aspartame, neotame, saccharin, sucralose) and estimated intakes below the Acceptable Daily Intake (level that a person can safely consume everyday over a lifetime without risk). By increasing palatability of nutrient-dense foods/beverages, sweeteners can promote diet healthfulness. Scientific evidence supports neither that intakes of nutritive sweeteners by themselves increase the risk of obesity nor that nutritive or nonnutritive sweeteners cause behavioral disorders. However, nutritive sweeteners increase risk of dental caries. High fructose intakes may cause hypertriglyceridemia and gastrointestinal symptoms in susceptible individuals. Thus, it is the position of The American Dietetic Association that consumers can safely enjoy a range of nutritive and nonnutritive sweeteners when consumed in a diet that is guided by current federal nutrition recommendations, such as the Dietary Guidelines for Americans and the Dietary References Intakes, as well as individual health goals. Dietetics professionals should provide consumers with science-based information about sweeteners and support research on the use of sweeteners to promote eating enjoyment, optimal nutrition, and health.

A comparison of self-reported energy intake with total energy expenditure estimated by accelerometer and basal metabolic rate in African-American women with type 2 diabetes

OBJECTIVE

This study assesses the validity of dietary data from African-American women with type 2 diabetes by comparing reported energy intake (EI) with total energy expenditure (TEE) estimated by an accelerometer and basal metabolic rate (BMR).

RESEARCH DESIGN AND METHODS

EI of 200 African-American women was assessed by three telephone-administered 24-h diet recalls using a multiple-pass approach. Physical activity was measured over a 7-day period by accelerometer, which also provided an estimate of TEE. Underreporting of EI was determined by using cutoffs for EI-to-TEE and EI-to-BMR ratios.

RESULTS

Participants, on average, were 59 years of age, with a BMI of 35.7, 10.5 years of diagnosed diabetes, and 10.7 years of education. Mean EI was 1,299 kcal/day; mean EI-to-TEE and EI-to-BMR ratios were 0.65 and 0.88, respectively. Among the 185 subjects with complete dietary data, 81% (n=150) were classified as energy underreporters using the EI-to-TEE ratio cutoff; 58% (n=107) were classified as energy underreporters using the EI-to-BMR ratio. Energy underreporters had significantly lower reported fat, higher protein, but similar carbohydrate intakes compared with non-underreporters. The EI-to-TEE ratio was not significantly associated with any demographic variables or following a diet for diabetes, but it was inversely associated with BMI (r=-0.37, P<0.0001). In a multivariate model, demographic variables, BMI, and following a diet for diabetes explained 16% of the variance in the EI-to-TEE ratio, with the latter two variables being the only significant predictors (inversely associated).

CONCLUSIONS

Widespread energy underreporting among this group of overweight African-American women with type 2 diabetes severely compromised the validity of self-reported dietary data.

Digital photography: a new method for estimating food intake in cafeteria settings

OBJECTIVE

The primary objective of this study was to test the comparability of digital photography and visual estimation procedures for estimating food intake.

RESEARCH METHODS AND PROCEDURES

The study sample included 71 breakfast meals and 59 lunch meals eaten in a university cafeteria during a single day. A total of 66 different foods were employed as test foods that could be selected by the students. Food selections and plate waste, as estimated by digital photography and visual estimation, were compared. For digital photography, three observers independently estimated portion sizes of each food item based upon digital photographs. One observer estimated portion sizes in the cafeteria setting, using visual estimation, a method that has been validated in other studies.

RESULTS

To test the accuracy of the two procedures for measuring food intake, the estimates of food weights derived from both procedures were compared using Bland-Altman regression. In comparison to visual estimation, the digital photography method yielded comparable estimates of food selections, plate waste, and total food intake for seven of nine comparisons. The two methods of estimating food portions yielded comparable results for most (78%) types of foods. The two methods also yielded similar variability.

DISCUSSION

These findings suggest that the digital photography method is an alternative to the traditional method of estimating food intake via direct observation.

The scientific basis of recent US guidance on sugars intake

Most fruits and dairy products are high in sugars, and thus naturally occurring sugars are consumed as part of a healthy diet. Sugars are also added to foods during processing or preparation, primarily to enhance taste. Monosaccharides and disaccharides added to foods are chemically indistinguishable from naturally occurring forms. However, concern has been expressed about the apparent increasing consumption of added sugars and their possible role in displacing or diluting nutrients in the diet and contributing to the epidemic of obesity in developed countries. One of the 2000 Dietary Guidelines for Americans states, "Choose beverages and foods to moderate your intake of sugars." The Dietary Guidelines Advisory Committee discussed whether to specify added sugars rather than the broader term sugars but decided that it was not possible to conclude that added sugars per se play a negative role in the public's health. The Dietary Guidelines Advisory Committee issued a call for more definitive studies of the role of sugars in current diets and the potential effect of a reduction in added sugars on both dietary quality and energy intake. The American Heart Association recently released a statement advising consumers to limit sugars consumption. The macronutrient report for the dietary reference intakes addresses many of these same issues; the expert panel concluded that it was not appropriate to set a tolerable upper intake level for added sugars but suggested a maximal intake level of 25% of energy from added sugars because of concerns about reduced intakes of essential micronutrients.

Defining and interpreting intakes of sugars

This paper clarifies the myriad of terminologies used to describe intakes of sugars by American consumers. In addition, it carefully critiques information sources used to explain and interpret consumption levels. Sugars are incorporated into foods for their biological, sensory, physical, and chemical properties. By chemical definition, the sugars normally consumed are the monosaccharides and disaccharides: glucose, fructose, galactose, sucrose, lactose, maltose, and trehalose. US governmental agencies use 4 terms to describe sugars: added sugars, caloric sweeteners, sugar, and sugars. Different sources are included when measuring sugars. Knowledge regarding intakes of sugars relies on food intake surveys (primarily dietary recalls) and economic food availability estimates. Although intake data may underestimate actual consumption, availability data tend to overestimate it. Furthermore, the sugars contents of many foods appearing in composition databases are derived from the summation of recipe ingredients rather than from actual measurements. Intakes of sugars over time (trends) must be viewed within the context of varying definitions, changes in food composition, changes in dietary intake methods, and acknowledged increases in the underreporting of intake. Agreement is needed to identify one common definition to describe intakes of sugars. Convergence between intake data and economic availability data would more accurately depict consumption. Precise amounts of sugars within currently available foods should be measured, not calculated. Without a common language, accurate and precise measurements, and consensus among scientists, educators, regulatory agencies, and the public, conversations regarding any health effects of sugars may lead to continued misunderstandings.

Validation of food variety as an indicator of diet quality assessed with a food frequency questionnaire for Western Mali

OBJECTIVE

To assess the validity of two diet quality indexes-food variety score (FVS) and diet diversity score (DDS) in Western Mali.

DESIGN

In two separate studies (A and B), FVS and DDS were derived from a food frequency questionnaire (FFQ) and were compared with the same scores and with measures of nutrient adequacy derived from 2-day weighed records (WR).

SETTING

Two rural, adjacent villages in Mali, West Africa.

SUBJECTS

In study A (1996), 48 women and 27 men (15-59 y) participated. Study B (1999) included 34 women and 36 men (15-45 y).

RESULTS

Spearman's correlation coefficients between FVS from the FFQ and WR for men were 0.5 in study A and 0.4 in study B. The corresponding correlations for DDS were 0.2 and 0.4, respectively. Correlations for women were lower, especially in study B. Classification into quartiles was also best for men. Correlations for the two diet variety scores from the FFQ with nutrient adequacy from the WR in study A were about 0.3 for men, but lower for women. In study B, these correlations were around 0.5 for men, whereas for women there was no association.

CONCLUSION

FVS and DDS can be assessed by our FFQ. The two diet variety scores reflect diet quality and are simple tools that can be used for monitoring. The validation study gave better results for men than for women, which has implications for further use of these instruments.