Unexplained disturbance in body weight regulation: diagnostic outcome assessed by doubly labeled water and body composition analyses in obese patients reporting low energy intakes

Nutrient Density as a Dimension of Dietary Quality: Findings of the Nutrient Density Approach in a Multi-Center Evaluation

The nutrient adequacy of a diet is typically assessed by comparing estimated nutrient intakes with established average nutrient requirements; this approach does not consider total energy consumed. In this multinational survey investigation in Indonesia, Mexico, and South Africa, we explore the applications of the “critical nutrient-density approach”—which brings energy requirements into the equation—in the context of public health epidemiology. We conducted 24 h dietary recalls in convenience samples of normal-weight (BMI 18.5–25 kg/m²) or obese (BMI > 30 kg/m²), low-income women in three settings (n = 290). Dietary adequacy was assessed both in absolute terms and using the nutrient density approach. No significant differences in energy and nutrient intakes were observed between normal-weight and obese women within any of the three samples (p > 0.05). Both the cut-point method (% of EAR) and critical nutrient density approach revealed a high probability of inadequate intakes for several micronutrients but with poor concordance between the two methods. We conclude that it may often require some approximate estimate of the habitual energy intake from an empirical source to apply a true critical nutrient density reference for a population or subgroup. This will logically signify that there would be more “problem nutrients” in the diets examined with this nutrient density approach, and efforts toward improved food selection or food- or biofortification will frequently be indicated.

Is Weight Loss More Severe in Older People with Dementia?

Weight loss, a hallmark feature of dementia, is associated with higher mortality in older people. However, there is a lack of consensus in the literature as to whether the weight loss commonly observed in older people with dementia results from reduced energy intake and/or increased energy expenditure. Understanding the cause of energy imbalance in older people with dementia would allow more targeted interventions to avoid detrimental health effects in this vulnerable group. In this paper, we review studies that have considered weight change, energy intake, and energy expenditure in older people with and without dementia. We critically assess the studies' methodology and outline the various factors which may decrease and increase energy intake and expenditure respectively in older people with and without dementia. Current available literature does not support the view that there is a lower energy intake and/or a higher energy expenditure in older people with dementia when compared to those without dementia. The need for more high-quality studies is also highlighted in order to shed more light towards this issue which continues to elude researchers and clinicians alike.

Validating an automated image identification process of a passive image-assisted dietary assessment method: proof of concept

OBJECTIVE

To validate an automated food image identification system, DietCam, which has not been validated, in identifying foods with different shapes and complexities from passively taken digital images.

DESIGN

Participants wore Sony SmartEyeglass that automatically took three images per second, while two meals containing four foods, representing regular- (i.e., cookies) and irregular-shaped (i.e., chips) foods and single (i.e., grapes) and complex (i.e., chicken and rice) foods, were consumed. Non-blurry images from the meals' first 5 min were coded by human raters and compared with DietCam results. Comparisons produced four outcomes: true positive (rater/DietCam reports yes for food), false positive (rater reports no food; DietCam reports food), true negative (rater/DietCam reports no food) or false negative (rater reports food; DietCam reports no food).

SETTING

Laboratory meal.

PARTICIPANTS

Thirty men and women (25·1 ± 6·6 years, 22·7 ± 1·6 kg/m2, 46·7 % White).

RESULTS

Identification accuracy was 81·2 and 79·7 % in meals A and B, respectively (food and non-food images) and 78·7 and 77·5 % in meals A and B, respectively (food images only). For food images only, no effect of food shape or complexity was found. When different types of images, such as 100 % food in the image and on the plate, <100 % food in the image and on the plate and food not on the plate, were analysed separately, images with food on the plate had a slightly higher accuracy.

CONCLUSIONS

DietCam shows promise in automated food image identification, and DietCam is most accurate when images show food on the plate.

People with a body mass index ⩾30 under-report their dietary intake: A systematic review

Under-reporting of total energy intake is a common and well-known source of measurement error in dietary assessment, and evidence suggests that this bias is particularly significant in obese individuals. After a multi-stage selection process of eligible papers, this literature review appraised 34 papers detailing the accuracy of self-reported dietary intake in people with an obese body mass index (BMI ⩾ 30). The available literature to date shows that having a body mass index ⩾30 is associated with significant under-reporting of food intake. Future research should look into identifying effective techniques to reduce this bias in clinical practice.

A pilot study to determine whether using a lightweight, wearable micro-camera improves dietary assessment accuracy and offers information on macronutrients and eating rate

A major limitation in nutritional science is the lack of understanding of the nutritional intake of free-living people. There is an inverse relationship between accuracy of reporting of energy intake by all current nutritional methodologies and body weight. In this pilot study we aim to explore whether using a novel lightweight, wearable micro-camera improves the accuracy of dietary intake assessment. Doubly labelled water (DLW) was used to estimate energy expenditure and intake over a 14-d period, over which time participants (n 6) completed a food diary and wore a micro-camera on 2 of the days. Comparisons were made between the estimated energy intake from the reported food diary alone and together with the images from the micro-camera recordings. There was an average daily deficit of 3912 kJ using food diaries to estimate energy intake compared with estimated energy expenditure from DLW (P=0·0118), representing an under-reporting rate of 34 %. Analysis of food diaries alone showed a significant deficit in estimated daily energy intake compared with estimated intake from food diary analysis with images from the micro-camera recordings (405 kJ). Use of the micro-camera images in conjunction with food diaries improves the accuracy of dietary assessment and provides valuable information on macronutrient intake and eating rate. There is a need to develop this recording technique to remove user and assessor bias.

Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall

Preliminary research has suggested that wearable cameras may reduce under-reporting of energy intake (EI) in self-reported dietary assessment. The aim of the present study was to test the validity of a wearable camera-assisted 24 h dietary recall against the doubly labelled water (DLW) technique. Total energy expenditure (TEE) was assessed over 15 d using the DLW protocol among forty adults (n 20 males, age 35 (sd 17) years, BMI 27 (sd 4) kg/m2 and n 20 females, age 28 (sd 7) years, BMI 22 (sd 2) kg/m2). EI was assessed using three multiple-pass 24 h dietary recalls (MP24) on days 2-4, 8-10 and 13-15. On the days before each nutrition assessment, participants wore an automated wearable camera (SenseCam (SC)) in free-living conditions. The wearable camera images were viewed by the participants following the completion of the dietary recall, and their changes in self-reported intakes were recorded (MP24+SC). TEE and EI assessed by the MP24 and MP24+SC methods were compared. Among men, the MP24 and MP24+SC measures underestimated TEE by 17 and 9%, respectively (P< 0.001 and P= 0.02). Among women, these measures underestimated TEE by 13 and 7%, respectively (P< 0.001 and P= 0.004). The assistance of the wearable camera (MP24+SC) reduced the magnitude of under-reporting by 8% for men and 6% for women compared with the MP24 alone (P< 0.001 and P< 0.001). The increase in EI was predominantly from the addition of 265 unreported foods (often snacks) as revealed by the participants during the image review. Wearable cameras enhance the accuracy of self-report by providing passive and objective information regarding dietary intake. High-definition image sensors and increased imaging frequency may improve the accuracy further.

Image-assisted dietary assessment: a systematic review of the evidence

Images captured during eating episodes provide objective information to assist in the assessment of dietary intake. Images are captured using handheld devices or wearable cameras, and can support traditional self-report or provide the primary record of dietary intake. A diverse range of image-assisted methods have been developed and evaluated but have not been previously examined together. Therefore, a review was undertaken to examine all studies that have evaluated or validated image-assisted methods of dietary assessment for assessing dietary energy intake. Identified image-assisted methods that employ similar methodologies were grouped for comparison. English-language full-text research articles published between January 1998 and November 2013 were searched using five electronic databases. A search of reference lists and associated websites was also conducted. Thirteen studies that evaluated 10 unique image-assisted methods among adults aged 18 to 70 years were included. Ten studies used handheld devices and three studies used wearable cameras. Eight studies evaluated image-based food records, two studies explored the use of images to enhance written food records, and three studies evaluated image-assisted 24-hour dietary recalls. Results indicate images enhance self-report by revealing unreported foods and identify misreporting errors not captured by traditional methods alone. Moreover, when used as the primary record of dietary intake, images can provide valid estimates of energy intake. However, image-assisted methods that rely on image analysis can be prone to underestimation if users do not capture images of satisfactory quality before all foods are consumed. Further validation studies using criterion measures are warranted. The validity among children, adolescents, and elderly persons as well as the feasibility of using image-assisted methods in large samples needs to be examined. Additional research is also needed to better understand the potential applications and pitfalls of wearable cameras.

Estimating free-living human energy expenditure: Practical aspects of the doubly labeled water method and its applications

The accuracy and noninvasive nature of the doubly labeled water (DLW) method makes it ideal for the study of human energy metabolism in free-living conditions. However, the DLW method is not always practical in many developing and Asian countries because of the high costs of isotopes and equipment for isotope analysis as well as the expertise required for analysis. This review provides information about the theoretical background and practical aspects of the DLW method, including optimal dose, basic protocols of two- and multiple-point approaches, experimental procedures, and isotopic analysis. We also introduce applications of DLW data, such as determining the equations of estimated energy requirement and validation studies of energy intake.

Nibbling and picking in obese patients with Binge Eating Disorder

OBJECTIVE

The goal of this study was to examine the clinical utility of nibbling behavior, defined as eating in an unplanned and repetitious manner between meals and snacks without a sense of loss of control, in obese patients with Binge Eating Disorder (BED).

METHODS

Two-hundred seventeen (N = 217) consecutive, treatment-seeking, obese patients with BED were assessed with the Eating Disorder Examination (EDE). Nibbling frequency was examined in relation to current weight, eating disorder psychopathology and eating patterns.

RESULTS

Results found that nibbling/picking was not related to body mass index, objective bulimic, subjective bulimic, or overeating episodes, food avoidance, sensitivity to weight gain, or any subscales of the EDE. However, nibbling/picking was significantly related to frequency of morning and afternoon snacking (r = .21, p = .002; r = .27, p < .001).

DISCUSSION

The assessment of nibbling/picking behaviors among individuals with BED might not provide clinically significant information.

Using a wearable camera to increase the accuracy of dietary analysis

BACKGROUND

Food diaries are commonly used to assess individual dietary intake in both the general and sporting populations. Despite the widespread use of such diaries, evidence suggests that individuals' self-reported energy intake frequently and substantially underestimate true energy intake.

PURPOSE

To examine the use of the Microsoft SenseCam wearable camera to help more accurately report dietary intake within various sporting populations.

METHODS

In 2011, a total of 47 participants were recruited to take part in this study (17 trainee jockeys, 15 elite Gaelic footballers, and 15 healthy physically active university students). Participants wore a SenseCam for 1 day (from morning until night) while simultaneously keeping a 1-day food diary. Comparisons were made between the energy intake reported in the food diary alone and the food diary in conjunction with information gathered from the SenseCam. Data analysis was conducted in 2012.

RESULTS

Mean total calorie intake using diary alone and diary and SenseCam were 2349±827.9 kcals vs 2631±893.4 kcal for the trainee jockeys; 2600±521.9 kcal vs 3191±770.2 kcal for the Gaelic footballers, and 2237±318.5 kcal vs 2487±404.6 kcal for the university students. This represented a difference of 10.7% (p≤0.001); 17.7% (p≤0.001); and 10.1% (p≤0.01) among measurement methods for trainee jockeys, Gaelic footballers, and university students, respectively.

CONCLUSIONS

Results from this first-generation study suggest that a more accurate estimate of total energy intake is provided when combining the use of a conventional food diary and a SenseCam. Additional information on portion size, forgotten foods, leftovers, and brand names can be obtained by using this novel sensing technology in conjunction with the diary, with improved dietary assessment a potential outcome.

The Eating Inventory and Body Adiposity from Leanness to Massive Obesity: a Study of 2509 Adults

OBJECTIVE

To examine how chronic dietary restraint, disinhibition, and hunger, as assessed by the Eating Inventory, vary over a broad range of BMI values from leanness to massive obesity, in subjects with family obesity. Eating Inventory factors were also studied as a function of personal weight history.

RESEARCH METHODS AND PROCEDURES

Subjects were 2509 participants in a genetic study of obesity. BMIs ranged from 15 to 87 kg/m2. Six BMI groups were formed (<27, 27 to 30, 30 to 35, 35 to 40, 40 to 45, and >45).

RESULTS

Multivariate analyses showed that restraint and disinhibition were significantly associated with BMI in men, whereas only disinhibition was in women. Disinhibition scores correlated strongly with hunger scores in both genders in all BMI categories; dietary restraint tended to correlate with the other two factors positively in leaner subjects and negatively in the highest BMI categories. Highly restrained normal-weight subjects were likely to exhibit disinhibition and hunger, whereas massively obese persons with very high disinhibition scores showed high hunger but little restraint. The highest restraint scores were observed in nonobese adult women with previous obesity in childhood and/or adolescence.

DISCUSSION

The factor most strongly associated with BMI in this large population was disinhibition, suggesting that obesity treatment should target behaviors associated with disinhibition, especially in individuals showing a low level of dietary restraint. High restraint scores in formerly obese normal-weight women suggest that dietary restraint may exert a beneficial influence on body weight control under conditions that deserve further investigation.

Comparisons of energy intake and energy expenditure in overweight and obese women with and without binge eating disorder

The purpose of this study was to determine whether there are differences in energy intake or energy expenditure that distinguish overweight/obese women with and without binge eating disorder (BED). Seventeen overweight/obese women with BED and 17 overweight/obese controls completed random 24-h dietary recall interviews, and had total daily energy expenditure (TDEE) assessed by the doubly labeled water (DLW) technique with concurrent food log data collection. Participants received two baseline dual-energy X-ray absorptiometry (DXA) scans and had basal metabolic rate (BMR) and thermic effect of food (TEF) measured using indirect calorimetry. Results indicated no between group differences in TDEE, BMR, and TEF. As in our previous work, according to dietary recall data, the BED group had significantly higher caloric intake on days when they had binge eating episodes than on days when they did not (3,255 vs. 2,343 kcal). There was no difference between BED nonbinge day intake and control group intake (2,233 vs. 2,140 kcal). Similar results were found for food log data. Dietary recall data indicated a trend toward higher average daily intake in the BED group (2,587 vs. 2,140 kcal). Furthermore, when comparing TDEE to dietary recall and food log data, both groups displayed significant under-reporting of caloric intake of similar magnitudes ranging from 20 to 33%. Predicted energy requirements estimated via the Harris-Benedict equation (HBE) underestimated measured TDEE by 23-24%. Our data suggest that increased energy intake reported by BED individuals is due to increased food consumption and not metabolic or under-reporting differences.

Energy intake of Swedish overweight and obese children is underestimated using a diet history interview

Estimating energy intake (EI) of a child by using a diet history interview (DHI) method may be a challenge because of difficulty for the child to remember what has been eaten as well as to report portion sizes. The aim of this research was to validate reported EI from a DHI in children classified as overweight or obese by comparing the reported EI to total energy expenditure (TEE) measured by 2 objective measures. Eighty-five 10.5- +/- 1.1-y-old overweight and obese children, with help from 1 or 2 parents, reported their EI 2 wk retrospectively in a DHI. Reported EI was compared with TEE, as measured by SenseWear armband (n = 85) and the doubly-labeled water (DLW) method (n = 21), during the same period as the DHI. Reported EI was underestimated by 14% when validated against both the armband and DLW method. Underestimation did not differ between boys and girls. However, the EI of obese children was underestimated by 22%, which is twice the rate as for the overweight children (95% CI: 0.55, 3.08). Underestimated EI was negatively correlated with BMI (r = -0.38; P = <0.01) as well as age (r = -0.21; P = 0.05). EI is underestimated to a higher extent among children with higher BMI and higher age when using a DHI method. The findings show the importance of validating dietary intake of children in general and in overweight and obese children in particular.

Improved reporting of habitual food intake after confrontation with earlier results on food reporting

The aim of the present study was to improve the reporting of food intake by confronting subjects with their way of reporting food intake, e.g. under-recording and/or undereating. To minimize portion size errors, eighteen female dietitians were recruited as subjects. Energy- and water intake were measured for 1 week with a weighed dietary record. Resting metabolic rate was measured with an open-circuit ventilated-hood indirect calorimeter, and physical activity was measured with an accelerometer for movement registration. Water loss was estimated with 2H-labelled water. Energy balance was checked for by measuring empty body-weight 1 week before the start, at the start and at the end of the recording week. In the first part of the study, the change in body weight in the non-recording week was 0·14 kg and in the recording week -0·45 kg (P 0·02), indicating 12 % undereating. Total water intake closely matched measured water loss, indicating a high recording precision. There was under-reporting of habitual food intake that could be fully explained by undereating. In the second part of the study, subjects were confronted with these results and the protocol was repeated. This time there was no significant change in body weight in the recording week, indicating no undereating. The reporting of habitual food intake had been improved. In conclusion, in the studied group of highly motivated lean women, under-reporting of habitual food intake (here due to undereating) could be eliminated by confrontation with the results of this phenomenon.

Appetite sensations as a marker of overall intake

The aim of this study was to evaluate the clinical utility of appetite sensations to characterize individual overall energy intake. A group of men (n 28) and women (n 23) was recruited to record their ‘desire to eat’, ‘hunger’, ‘fullness’ and ‘prospective food consumption’ (PFC) on visual analogue scales before a standardized meal test, immediately after and every 10 min for a period of 1 h after the meal. The 1 h post-meal area under the curve (1 h AUC) and the satiety quotient (SQ) were calculated for all appetite sensations. In a second visit, all participants were invited to eat three meals in order to measure total energy intake (TEI) and food preferences. Metabolic rate (MR) was also assessed to derive daily relative energy intake (REI) by subtracting this variable from TEI (TEI−MR=REI). The Three-Factor Eating Questionnaire scores were also calculated for all participants. One h AUC for fullness was the appetite sensation most strongly associated with TEI and REI (r−0·42, P≤0·003 and r−0·32, P≤0·05, respectively). SQ for fullness was the only predictor of TEI and REI (r−0·42, P≤0·0003 and r−0·30, P≤0·05, respectively). Restraint, disinhibition and hunger scores were not associated with appetite sensation variables. These results suggest that the fullness dimension seems to be a useful appetite sensation to predict long-term TEI and REI. Thus, assessment of appetite sensation such as fullness in response to a fixed load may be useful to evaluate individual overall energy intake.

The influence of age and body mass index on relative accuracy of energy intake among Japanese adults

OBJECTIVE

To examine relationships between the ratio of energy intake to basal metabolic rate (EI/BMR) and age and body mass index (BMI) among Japanese adults.

DESIGN

Energy intake was assessed by 4-day semi-weighed diet records in each of four seasons (16 days in total). The EI/BMR ratio was calculated from reported energy intake and estimated basal metabolic rate as an indicator of reporting accuracy.

SETTING

Residents in three areas in Japan, namely Osaka (urban), Nagano (rural inland) and Tottori (rural coastal).

SUBJECTS

One hundred and eighty-three healthy Japanese men and women aged > or =30 years.

RESULTS

The oldest age group (> or =60 years) had higher EI/BMR values than the youngest age group (30-39 years) in both sexes (1.74 vs. 1.37 for men; 1.65 vs. 1.43 for women). In multiple regression analyses, age correlated positively (partial correlation coefficient, beta = 0.012, P < 0.001 for men; beta = 0.011, P < 0.001 for women) and BMI correlated negatively (beta = -0.031, P < 0.001 for men; beta = -0.025, P < 0.01 for women) with EI/BMR.

CONCLUSION

Age and BMI may influence the relative accuracy of energy intake among Japanese adults.

Appetite sensations and satiety quotient: predictors of energy intake and weight loss

PURPOSE

The aim of this study was to further evaluate the validity and clinical meaningfulness of appetite sensations to predict overall energy intake as well as body weight loss.

METHODS

Men (n = 176) and women (n = 139) involved in six weight loss studies were selected to participate in this study. Visual analogue scales were used to measure appetite sensations before and after a fixed test meal. Fasting appetite sensations, 1 h post-prandial area under the curve (AUC) and the satiety quotient (SQ) were used as predictors of energy intake and body weight loss. Two separate measures of energy intake were used: a buffet style ad libitum test lunch and a three-day self-report dietary record.

RESULTS

One-hour post-prandial AUC for all appetite sensations represented the strongest predictors of ad libitum test lunch energy intake (p < or = 0.001). These associations were more consistent and pronounced for women than men. Only SQ for fullness was associated with ad libitum test lunch energy intake in women. Similar but weaker relationships were found between appetite sensations and the 3-day self-reported energy intake. Weight loss was associated with changes in appetite sensations (p < or = 0.01) and the best predictors of body weight loss were fasting desire to eat; hunger; and PFC (p < or = 0.01).

CONCLUSIONS

These results demonstrate that appetite sensations are relatively useful predictors of spontaneous energy intake, free-living total energy intake and body weight loss. They also confirm that SQ for fullness predicts energy intake, at least in women.

Eating patterns and breakfast consumption in obese patients with binge eating disorder

This study examined eating patterns and breakfast consumption, and their relationships to weight and binge eating, in obese individuals with binge eating disorder (BED). One-hundred seventy-three consecutively evaluated men (n=46) and women (n=127) with BED were administered semi-structured interviews and self-report measures to assess the frequency of meals and snacks eaten, as well as binge eating and eating disorder features. Overall, those who consumed more frequent meals, particularly breakfast, and snacks, weighed less. Breakfast, which was eaten on a daily basis by less than half of participants (n=74; 43%), was the least frequently eaten meal of the day. Participants (n=56; 32%) who ate three meals per day weighed significantly less, and had significantly fewer binges, than participants (n=117; 68%) who did not regularly eat three meals per day. Thus, eating more frequently, having breakfast and consuming three meals every day, have potentially important clinical applications for the treatment of BED given that the effectiveness of specific interventions within treatments for BED are unknown, and that weight loss outcome for BED has been poor.

Estudo do gasto energético por meio da água duplamente marcada: fundamentos, utilização e aplicações

A medida do gasto energético total é fundamental em estudos de nutrição e metabolismo. A água duplamente marcada é uma forma de calorimetria indireta que mede precisa e acuradamente o gasto energético total de indivíduos fora de confinamento. Esse método já foi aplicado com diversas finalidades, como medir a demanda energética decorrente de doenças crônicas e da atividade física. Além disso, também foi usada em estudos sobre as conseqüências da desnutrição e a etiologia da obesidade, especialmente demonstrando as diferenças inter-raciais quanto ao gasto energético total. Tal técnica também pode ser utilizada para validar outros métodos de avaliação da prática de atividade física e/ou do gasto energético total. Embora diversos estudos de validação tenham sido conduzidos, nenhum método demonstrou bom desempenho nas estimativas individuais. Finalmente, a água duplamente marcada tem sido amplamente empregada em países desenvolvidos como marcador do consumo energético, validando as estimativas obtidas pelos métodos de avaliação do consumo alimentar. Esse uso também deve ser encorajado em países em desenvolvimento, para que se possa considerar o erro das estimativas de ingestão energética dos métodos de avaliação do consumo alimentar, utilizados nas pesquisas de nutrição humana dessas nações.

Energy expenditure is very high in extremely obese women

To test the hypothesis that total energy expenditure (TEE) and resting energy expenditure (REE) are low in extremely obese individuals, factors that could contribute to maintenance of excess weight, a cross-sectional study was conducted in 30 weight stable, extremely obese women [BMI (mean +/- SEM) 48.9 +/- 1.7 kg/m(2)]. TEE was measured over 14 d using the doubly labeled water method, REE and the thermic effect of feeding (TEF) were measured using indirect calorimetry, and activity energy expenditure (AEE) was calculated as TEE - (REE + TEF). Body composition was determined using a 3-compartment model. Subjects were divided into tertiles of BMI (37.5-45.0; 45.1-52.0; and 52.1-77.0 kg/m(2)) for data analysis. TEE and REE increased with increasing BMI tertile: TEE, 12.80 +/- 0.5, 14.67 +/- 0.5, and 16.10 +/- 0.9 MJ/d (P < 0.01); REE, 7.87 +/- 0.2, 8.78 +/- 0.3, and 9.94 +/- 0.6 MJ/d (P < 0.001), and these values were 29-38% higher than published means of measured TEE in nonobese individuals. No significant differences were observed among BMI tertiles for AEE, TEF, or physical activity level (PAL = TEE/REE, overall mean 1.64 +/- 0.16). The Harris-Benedict and WHO equations provided the closest estimates of REE (within 3%), whereas the obese-specific equations of Ireton-Jones overpredicted (40%) and Bernstein underpredicted (21%) REE. Extremely obese individuals have high absolute values for TEE and REE, indicating that excess energy intake contributes to the maintenance of excess weight. Standard equations developed for nonobese populations provided the most accurate estimates of REE for the obese individuals studied here. REE was not accurately predicted by equations developed in obese populations.

Laboratory studies of binge eating disorder

INTRODUCTION

Because of questions about the accuracy of reported food intake, and in order to study psychological and environmental factors which might affect eating, a number of investigators have examined the eating behavior of individuals with binge eating disorder (BED) under controlled conditions that permit food consumption to be measured.

METHODS

Published studies that evaluated the eating behavior of individuals with BED in a laboratory were reviewed.

RESULTS

In laboratory meals, individuals with BED consumed more kilocalories than individuals of similar weight who did not meet criteria for BED. These differences are observed consistently when subjects are asked to binge eat and when they are not.

CONCLUSIONS

In a laboratory setting, individuals with BED exhibit objectively abnormal eating behavior. These data support, but do not prove, the validity of BED as a diagnostic entity.

Markers of the validity of reported energy intake

Energy intake (EI) is the foundation of the diet, because all other nutrients must be provided within the quantity of food needed to fulfill the energy requirement. Thus if total EI is underestimated, it is probable that the intakes of other nutrients are also underestimated. Under conditions of weight stability, EI equals energy expenditure (EE). Because at the group level weight may be regarded as stable in the timescale of a dietary assessment, the validity of reported EI can be evaluated by comparing it with either measured EE or an estimate of the energy requirement of the population. This paper provides the first comprehensive review of studies in which EI was reported and EE was measured using the doubly labeled water technique. These conclusively demonstrate widespread bias to the underestimation of EI. Because energy requirements of populations or individuals can be conveniently expressed as multiples of the basal metabolic rate (BMR), EE:BMR, reported EI may also be expressed as EI:BMR for comparison. Values of EI:BMR falling below the 95% confidence limit of agreement between these two measures signify the presence of underreporting. A formula for calculating the lower 95% confidence limit was proposed by Goldberg et al. (the Goldberg cutoff). It has been used by numerous authors to identify individual underreporters in different dietary databases to explore the variables associated with underreporting. These studies are also comprehensively reviewed. They explore the characteristics of underreporters and the biases in estimating nutrient intake and in describing meal patterns associated with underreporting. This review also examines some of the problems for the interpretation of data introduced by underreporting and particularly by variable underreporting across subjects. Future directions for research are identified.

Does using the Internet facilitate the maintenance of weight loss?

OBJECTIVE

The purpose of this study was to investigate the effectiveness of a weight maintenance program conducted over the Internet.

DESIGN

Longitudinal, clinical behavioral weight loss trial with 6-month in-person behavioral obesity treatment followed by a 12-month maintenance program conducted both in-person (frequent in-person support; F-IPS, minimal in-person support; M-IPS) and over the Internet (Internet support; IS).

SUBJECTS

A total of 122 healthy, overweight adults (age=48.4+/-9.6, BMI=32.2+/-4.5 kg/m(2), 18 male)

MEASUREMENTS

Body weight, dietary intake, energy expended in physical activity, attendance, self-monitoring, comfort with technology.

RESULTS

Results (n=101) showed that weight loss did not differ by condition during treatment (8.0+/-5 vs 11+/-6.5 vs 9.8+/-5.9 kg, P=0.27 for IS, M-IPS and F-IPS, respectively). The IS condition gained significantly more weight than the F-IPS group during the first 6 months of weight maintenance (+2.2+/-3.8 vs 0+/-4 kg, P<0.05) and sustained a significantly smaller weight loss than both in-person support groups at the 1 y follow-up (-5.7+/-5.9 vs -10.4+/-9.3 vs -10.4+/-6.3 kg, P<0.05 for IS, M-IPS and F-IPS, respectively). Attendance at maintenance meetings was greater for the F-IPS than the IS condition over the 1 y maintenance program (54 vs 39%, P=0.04). Acceptability of assigned condition was higher for subjects in the F-IPS than IS condition.

CONCLUSION

The results of this study suggest that Internet support does not appear to be as effective as minimal or frequent intensive in-person therapist support for facilitating the long-term maintenance of weight loss.

Nature of dietary reporting by adults in the third National Health and Nutrition Examination Survey, 1988-1994

OBJECTIVE

Low reporting of food intake is an acknowledged problem in dietary assessments; however, differences in food intake relative to reporting status are poorly understood. This study examined the relation of a measure of dietary reporting status with the nature of food intake reported by adults in the third National Health and Nutrition Examination Survey.

METHODS

Subjects were 6948 women and 6452 men, 20 years of age or older, with a complete and reliable 24-hour dietary recall. The ratio of reported energy intake to estimated basal energy expenditure (EI/BEE) was computed as a measure of dietary reporting status. The independent relation of EI/BEE ratio with 1) the amount, number, and energy density of nutrient-dense and low-nutrient-dense foods, 2) the number of reported eating occasions, 3) macro- and micronutrient intake and 4) serum concentrations of folate, ascorbate and carotenoids were examined using gender-specific multiple regression models.

RESULTS

The EI/BEE ratio related positively with the amount, number and energy density of both nutrient-dense and low-nutrient-dense foods, and grams of alcoholic beverages. The EI/BEE ratio was an independent negative predictor of serum folate, ascorbate and alpha-carotene concentrations confirming the underreporting of food sources of these nutrients. The relative odds of reporting < or = 30% of energy as fat or < 10% of energy as saturated fat decreased with ratio of EI/BEE; however, the odds of reporting all five food groups or meeting the recommended intake of selected micronutrients increased with EI/BEE.

CONCLUSIONS

The quantity and the quality of food intake reported in the 24-hour recall in NHANES III differed in relation to the ratio of EI/BEE.

Validation of energy intake measurements determined from observer-recorded food records and recall methods compared with the doubly labeled water method in overweight and obese individuals

BACKGROUND

Measurements of dietary intake in obese and overweight populations are often inaccurate because food intakes are underestimated.

OBJECTIVE

The purpose of this study was to evaluate the validity of the combined use of observer-recorded weighed-food records and 24-h snack recalls in estimating energy intakes in overweight and obese individuals.

DESIGN

Subjects were 32 healthy women and 22 healthy men with mean body mass indexes (in kg/m(2)) of 29.5 and 30.3, respectively. Energy intake (EI) was measured over 2 wk in a university cafeteria. No restrictions were made on meal frequency or EI. To document food consumed outside the cafeteria, 24-h snack recalls were conducted before meals. Energy expenditure (EE) was measured with the doubly labeled water (DLW) method (EE(DLW)). Energy balance was determined by measuring body weight at the beginning and end of the 2-wk period.

RESULTS

The mean EI in the women (10.40 +/- 1.94 MJ/d) and men (14.37 +/- 3.21 MJ/d) was not significantly lower than the EE(DLW) in the women (10.86 +/- 1.76 MJ/d) and men (14.14 +/- 2.83 MJ/d). The mean EI represented 96.9 +/- 17.0% and 103 +/- 18.9% of the measured EE for women and men, respectively. There were no significant changes in weight in the group as a whole or by sex at the end of the testing period; the men lost 0.23 +/- 1.58 kg and the women lost 0.25 +/- 1.09 kg.

CONCLUSION

The combination of observer-recorded food records and 24-h snack recalls is a valid method for measuring EI in overweight and obese individuals.

Validity of self-reported energy intake in lean and obese young women, using two nutrient databases, compared with total energy expenditure assessed by doubly labeled water

OBJECTIVE

To compare self-reported total energy intake (TEI) estimated using two databases with total energy expenditure (TEE) measured by doubly labeled water in physically active lean and sedentary obese young women, and to compare reporting accuracy between the two subject groups.

DESIGN

A cross-sectional study in which dietary intakes of women trained in diet-recording procedures were analyzed using the Minnesota Nutrition Data System (NDS; versions 2.4/6A/21, 2.6/6A/23 and 2.6/8.A/23) and Nutritionist III (N3; version 7.0) software. Reporting accuracy was determined by comparison of average TEI assessed by an 8 day estimated diet record with average TEE for the same period.

RESULTS

Reported TEI differed from TEE for both groups irrespective of nutrient database (P<0.01). Measured TEE was 11.10+/-2.54 and 11.96+/-1.21 MJ for lean and obese subjects, respectively. Reported TEI, using either database, did not differ between groups. For lean women, TEI calculated by NDS was 7.66+/-1.73 MJ and by N3 was 8.44+/-1.59 MJ. Corresponding TEI for obese women were 7.46+/-2.17 MJ from NDS and 7.34+/-2.27 MJ from N3. Lean women under-reported by 23% (N3) and 30% (NDS), and obese women under-reported by 39% (N3) and 38% (NDS). Regardless of database, lean women reported higher carbohydrate intakes, and obese women reported higher total fat and individual fatty acid intakes. Higher energy intakes from mono- and polyunsaturated fatty acids were estimated by NDS than by N3 in both groups of women (P< or =0.05).

CONCLUSIONS

Both physically active lean and sedentary obese women under-reported TEI regardless of database, although the magnitude of under-reporting may be influenced by the database for the lean women.

SPONSORSHIP

USDA Hatch Project award (ARZT-136528-H-23-111) to LB Houtkooper and WH Howell.

Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake

Epidemiological studies of diet and disease rely on the accurate determination of dietary intake and subsequent estimates of nutrient exposure. Although methodically developed and tested, the instruments most often used to collect self-reported intake data are subject to error. It had been assumed that this error was only random in nature; however, an increasing body of literature suggests that systematic error in the reporting of true dietary intake exists as well. Here, we review studies in which dietary intake by self report was determined while energy expenditure was simultaneously measured using the doubly labeled water (DLW) method. In seeking to establish the relative accuracy of each instrument to capture true habitual energy intake, we conclude that none of the self-reported intake instruments demonstrates greater accuracy against DLW. Instead, it is evident that the physical and psychological characteristics of study participants play a significant role in the underreporting bias observed in these studies. Further research is needed to identify underreporters and to determine how to account for this bias in studies of diet and health.

The doubly-labeled water method and food intake surveys: a confrontation

Surveys of food intake in humans, following measurements of energy expenditures in free-living persons, obtained by the doubly-labeled water technique, have been severely questioned in recent years. The present article reviews studies performed in both adults and children, comparing energy intake and expenditures in the same individuals. In adults, reported intake is often insufficient to cover minimal energy needs. The typical level of "under-reporting" is about 20%, and it is even higher in obese subjects. Intake data obtained from children are more valid than data from adults. Different survey methods yield differing degrees of agreement between intake and expenditure measurements using the doubly labeled water technique: frequency questionnaires tend to induce over-reporting, whereas the classical 24 hours recall is very susceptible to large under-reporting. Even obese adults can provide accurate reports of their daily food intake if properly trained and motivated. The interpretation of data obtained with the doubly labeled water method should integrate the considerable day-to-day variations observed in human food intake.

The validity of self-reported energy intake as determined using the doubly labelled water technique

In the 1980s the development of the doubly labelled water (DLW) technique made it possible to determine the validity of dietary assessment methods using external, independent markers of intake in free-living populations. Since then, the accuracy of self-reported energy intake (EI) has been questioned on a number of occasions as under-reporting has been found to be prevalent in many different populations. This paper is a review of investigations using the DLW technique in conjunction with self-reported EI measures in groups including adults, children and adolescents, obese persons, athletes, military personnel and trekking explorers. In studies where a person other than the subject is responsible for recording dietary intake, such as parents of young children, EI generally corresponds to DLW determined energy expenditure. However, in instances where the subjects themselves report their intake, EI is generally under-reported when compared with energy expenditure. It was originally believed that this phenomenon of under-reporting was linked to increased adiposity and body size, however, it is now apparent that other factors, such as dietary restraint and socio-economic status, are also involved. This paper therefore aims to present a more comprehensive picture of under-reporting by tying in the findings of many DLW studies with other studies focusing particularly on the characteristics and mechanisms for under-reporting. Awareness of these characteristics and mechanisms will enable researchers to obtain more accurate self-reports of EI using all dietary recording techniques.

Nutrient intake of obese female binge eaters

OBJECTIVE

To compare the 6-month change in selected nutrients and number of binge days (from 7-day food records) between obese binge eaters randomly assigned to either a behavioral self-management (BSM) or waiting list control (WLC) group. Within each of the 2 groups, the average intake of selected nutrients on binge and nonbinge days at baseline and at 6 months were compared.

DESIGN

A randomized, controlled, intervention study with assessments at entry and 6 months later.

SUBJECTS

Forty-six women in the BSM group and 36 in the WLC group completed the 6-month measurement. Participants were 25 to 50 years of age, 30 to 90 pounds overweight, did not have a history of physical or psychological illnesses, and scored 20 or greater on the binge eating scale.

INTERVENTION

Participants in the BSM intervention received 6 months of weekly, 1-hour classes taught by registered dietitians. Participants in the WLC group were not contacted during the 6 months.

OUTCOME MEASURES

The main outcome measures were change in energy consumed (kilocalories); percentage of energy from fat, protein, and carbohydrate; grams of fiber/1,000 kcal; and change in the number of self-reported binge days.

STATISTICAL ANALYSES

Weight at 6 months was compared using a 2-sample t test. The change in the number of binge days at 6 months and the amount of change in selected nutrients by group was compared using the 2-sample t test. The paired t test was used to compare the average nutrient intakes on binge and nonbinge days within groups.

RESULTS

No significant difference was found in the 6-month change between groups in any of the selected nutrients. The BSM group reported a greater reduction in binge days between baseline and 6 months compared with the WLC group (mean 1.0 vs 1.7, P < 0.03). Within the BSM group at 6 months, energy intake and percentage of energy from fat on nonbinge days were significantly reduced compared with binge days. At baseline within the WLC group, energy intake increased and percentage of energy from protein decreased significantly on nonbinge days compared with binge days. Within the WLC group at 6 months, energy intake and percentage of energy from fat significantly decreased and percentage of energy from protein significantly increased on nonbinge days.

CONCLUSIONS

Our results suggest that collecting dietary information from participants identified with binge eating disorder is challenging. Dietitians who conduct behavioral weight management programs may require additional training in identifying and understanding the psychological characteristics of participants with binge-eating disorder.

Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake

BACKGROUND

Underreporting of food intake is common in obese subjects.

OBJECTIVE

One aim of this study was to assess to what extent underreporting by obese men is explained by underrecording (failure to record in a food diary everything that is consumed) or undereating. Another aim of the study was to find out whether there was an indication for selective underreporting.

DESIGN

Subjects were 30 obese men with a mean (+/-SD) body mass index (in kg/m(2)) of 34 +/- 4. Total food intake was measured over 1 wk. Energy expenditure (EE) was measured with the doubly labeled water method, and water loss was estimated with deuterium-labeled water. Energy balance was checked for by measuring body weight at the start and end of the food-recording week and 1 wk after the recording week.

RESULTS

Mean energy intake and EE were 10.4 +/- 2.5 and 16.7 +/- 2. 4 MJ/d, respectively; underreporting was 37 +/- 16%. The mean body mass loss of 1.0 +/- 1.3 kg over the recording week was significantly different (P < 0.05) from the change in body mass over the nonrecording week, and indicated 26% undereating. Water intake (reported + metabolic water) and water loss were significantly different from each other and indicated 12% underrecording. The reported percentage of energy from fat was a function of the level of underreporting: percentage of energy from fat = 46 - 0.2 x percentage of underreporting (r(2) = 0.28, P = 0.003).

CONCLUSIONS

Total underreporting by the obese men was explained by underrecording and undereating. The obese men selectively underreported fat intake.

Underreporting of habitual food intake is explained by undereating in highly motivated lean women

Underreporting of habitual food intake can be explained by underrecording and/or undereating. This study was designed to discriminate between the two errors mentioned, by measuring energy and water balance. Twenty-four lean female dieticians were recruited as subjects. Energy intake and water intake were measured for 1 wk with a weighed dietary record. Energy expenditure was estimated from measurements of resting metabolic rate, and measured physical activity with a triaxial accelerometer for movement registration. Water loss was estimated with deuterium-labeled water. Energy balance was determined by measuring the change in body mass over a nonrecording week (preceding the recording week) and over the recording week. Mean energy and water intake were 8.5 +/- 1.0 MJ/d and 2.3 +/- 0.5 L/d. The change in body mass in the nonrecording week was 0.1 +/- 0.6 kg and in the recording week -0.6 +/- 0.8 kg (paired t test; P = 0.02), indicating 16% undereating. Recorded water intake plus calculated metabolic water closely matched measured water loss (r = 0.93; P = 0.0001), which indicated a high recording precision. In conclusion, in the studied group of highly motivated lean women, there was 16% underreporting of habitual food intake, which could be explained by undereating.