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Department of Community Health Sciences, UCLA School of Public Health, Los Angeles, CA 90095 and * Food Technology Research Institute, Agricultural Research Centre, Ministry of Agriculture, Cairo, Egypt
2To whom correspondence should be addressed.
| ABSTRACT |
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KEY WORDS: food intake dietary surveys 24-h recall Egypt women
| INTRODUCTION |
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Underestimation of dietary EI in relation to requirements, both
theoretical and measured, has been a consistent finding in much of the
literature on food consumption in free-living populations and has
plagued food consumption survey methodology for decades (Briefel et al. 1997
, Klesges et al. 1995
, Mertz et al. 1991
, Swan, 1983
). Deliberate
fabrication, failure to remember food items or whole eating events,
lack of knowledge of the composition of mixed dishes and inability to
estimate portion size accurately have all been considered as potential
contributors to the underreporting problem.
Greater underreporting of food intake by obese individuals has been
observed in a number of studies among U.S. adults (Briefel et al. 1997
, Klesges et al.1995
, Sawaya et al. 1996
, Swan 1983
), U.S. and UK adolescents
(Champagne et al. 1996
, Livingstone et al. 1992
), and Dutch (Braam et al. 1998
,
Lavienja et al. 1998
), German (Kroke et al. 1999
) and Greek (Gnardellis et al. 1998
) adults.
The identification of a valid biomarker for TEE, namely, doubly labeled
water (Schoeller and van Santen 1982
), has made direct
validation studies of dietary data possible in small studies. By now,
the technique has been utilized in several hundred human studies,
almost all in affluent societies. The results of these studies have
made it very clear that TEE rises with overweight and obesity, whereas
self-reported dietary EI does not, thus producing more
underreporting of EI by obese than by lean individuals (Prentice et al. 1996
).
Estimates of population energy requirements, based on estimation of
physical activity levels and anthropometry-derived basal metabolic
rate (BMR) (FAO/WHO/UNU 1985
, Schofield 1985
), have also been used as criteria against which to judge
the completeness of dietary EI estimates (Briefel et al. 1997
, Klesges et al. 1995
). These estimates have
been widely used, appear to be reasonably valid for
population-level estimates (Coward 1998
) and are
recommended as the basis for population-level estimates of energy
requirements [International Dietary Energy Consultative Group (IDECG) 1996
]. Table 1
shows the estimated ratios of EI to BMR for adults by activity level
(FAO/WHO/UNU 1985
).
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Over the last several years, considerable work has gone into improving
the methodology for dietary recall interviewing in national surveys in
the U.S., with the development of the "multiple-pass" methodology
by the U.S. Department of Agriculture, which has the goal of reducing
the underreporting gap (Guenther et al. 1996). This
method provides the respondent with a variety of aids and prompts to
cognitive recall by leading him/her through the time period in question
three times as follows: first, to list the foods s/he remembers eating;
a second time to add detail; and a third time to review and fill in any
gaps. How much difference the change to multiple-pass recall
methodology makes for survey purposes is unknown; EI among U.S. adults
appear to have increased somewhat over the last decade, but the
contribution of improved methodology vs. real increases is not known.
The 19941996 Continuing Survey of Food Intakes of Individuals
(CSFII), which utilized the multiple-pass method, showed an average
energy intake for women of 6744 kJ compared with 6396 kJ in the 1985
CSFII (USDA 1987
).
Almost all of the data that address the issue of underreporting of food
intake come from affluent societies. Coward (1998)
recently reviewed the literature on double-labeled water studies of
TEE in developing countries and found a total of 12 papers. With the
use of varying protocols and possessing varying objectives, this small
body of work points primarily to the need to gain a better
understanding of the variation in energy requirements and tradeoffs
that are made in diverse circumstances, for example, in situations
characterized by seasonal and within-population variation in energy
demands for physical work. None of the studies reviewed provided the
kind of self-reported 24-h recall dietary intake data that would
allow interpretation of bias in self-reports of food intake.
| SUBJECTS AND METHODS |
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Egyptian data.
The Egyptian data were collected as the first round of a planned long-term monitoring system for food consumption and related variables by the Food Technology Research Institute, Agricultural Research Center, of the Egyptian Ministry of Agriculture in collaboration with the UCLA School of Public Health. The study was approved by the Institutional Review Boards of both institutions; in addition, a standing local project advisory committee provided continuous oversight of all issues related to protection of confidentiality.
Data were collected in each primary sampling unit (rural village or
urban administrative unit) in five of Egypts 24 governorates,
including greater Cairo, between November 1993 and October 1994. A
stratified, multistage, random-sampling design was used, with
sample size for rural and urban areas of each governorate calculated to
be proportional to the population as of the 1990 census. Details of
sample design have been reported elsewhere (Khorshed et al. 1998
). Refusal rates were very low (<10%), following on
advance publicity for the survey in each sample area. Interviews were
completed on 6540 households, ranging from 1.25% of the households in
Greater Cairo to 38.8% of households in the small New Valley
Governorate. Data are presented here on the 4596 nonpregnant,
nonlactating women ages 1860 y for whom complete 24-h recall, age and
anthropometric data were collected. For the present analysis, we
excluded women with missing age or anthropometric data, those <18 y
and >60 y of age to provide comparability with the U.S. data set
(total 861); we also excluded 1083 women who were pregnant or
breast-feeding because the U.S. data set does not include
sufficient numbers of pregnant and breast-feeding women for
comparison.
Interviews were conducted in the households with the adult individual responsible for food shopping and preparation for the family. Total interview time ranged from 1.5 to 3 h, depending primarily on the size of the family. Data collected included the following: sociodemographic information; questions on food habits and food sources (markets, home production) and food security; a household food-frequency questionnaire covering the previous year; and quantitative 24-h recall of food intake for the previous day for the household, for the respondent and for a child between 2 and 6 y of age if there was one in the family. Height and weight were measured using a portable stadiometer and spring scales that were calibrated daily. A subsample of 15% of households was revisited by another interviewer within a few days, and portions of the interview were readministered to provide for quality control and identify needs for retraining of interviewers.
The quantitative 24-h recall of household food consumption was an innovation developed by the field staff after pilot testing early versions of the interview questionnaire. In the Egyptian cultural context, women tend to be wholly responsible for the planning, management and allocation of household food supplies. Women found that in order to recall their own and the childs intakes, they first had to reconstruct mentally what they had prepared and served to the family. Developmental testing of the instrument led us to the conclusion that doing a quantitative recall of all food served to household members the previous day was a logical prelude to reporting individual intake for most women.
Twenty-four hour recall data were converted to estimated nutrient intakes utilizing a modification of the Food Intake Analysis System (FIAS) (University of Texas and U.S. Department of Agriculture, Version 2.3), which used the USDA Nutrient Composition Database for Standard Reference, Release #10. We modified the system to create nutrient values for unenriched and unfortified versions of all ingredients and foods whose values in the USDA database reflect U.S. enrichment and fortification practices. Additionally, we collected household recipes for all mixed dishes, tested all that required the derivation of water or fat retention or loss factors (>1100 recipes) in a test-kitchen setting, and utilized these in calculating nutrient intakes. A small number (<10) of food items or ingredients were present in the Egyptian food supply that did not have exact equivalents in the USDA database; these were assigned values for items with apparently similar nutrient content based on local food composition information.
U.S. data.
For the U.S. women, we utilized data from the CSFII 19941996
(U.S. Dept of Agriculture 1998
). This data set included
3010 nonpregnant, nonlactating women ages 1860 y who had a
single-day 24-h recall of food intake and data on age, height and
weight and 2763 women who had a second recall collected on a
nonconsecutive day by telephone, using the same methodology. Height and
weight were self-reported in the CSFII. The sample was a
multistage, stratified probability sample, designed to be nationally
representative of noninstitutionalized persons residing in households
in the U.S. for each of 40 analytic domains defined by sex, age and
income level. The response rate in the 19941996 CSFII was 80%. Data
collected included sociodemographic information and a quantitative 24-h
recall of food intake for the previous day for the female respondent
and, when appropriate according to the sample, for an adult male or a
child within the household. The 24-h recall methodology used was the
"multiple-pass" method described previously, and measuring aids
were used to help the respondent in estimating amounts. Data on food
intake were converted to nutrient intake estimates using the SurveyNet
system (USDA and University of Texas), which utilized the same nutrient
database as FIAS, Version 2.3. Thus the food composition databases for
conversion of data to energy intakes were identical in the Egyptian
study and in the CSFII 19941996. We included all ethnic groups
because EI patterns have been demonstrated in the NHANES III data to be
similar for non-Hispanic Caucasians, non-Hispanic Blacks, and
Mexican-Americans (Briefel et al. 1995
). In the
present analysis, we utilize the 2 d of recall in the CSFII data
set separately for comparability with the Egyptian data set.
Calculation of estimated BMR and EI:BMR.
BMR was calculated for each subject using prediction equations
developed by Schofield et al. (1985)
, adopted by the
FAO/WHO/UNU (1985)
committee on energy requirements and
utilized by Klesges et al. (1995)
and Briefel et al. (1997)
in their analyses of underreporting of dietary
intake in the NHANES II and III surveys in the U.S. EI:BMR ratios were
then calculated for each individual.
Statistical analysis.
Statistical methods included chi-square analysis for categorical variables, Students t tests for independent samples for continuous variables, Pearson correlations and ANOVA.
| RESULTS |
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The EI:BMR ratio for women in both populations was negatively related
to BMI (r = -0.156 in the Egyptian sample and
r = -0.239 in the American sample, both P
< 0.0001). Table 5
shows the percentage of respondents whose reported intakes were <0.92
BMR by category of BMI (obese, overweight, normal and underweight). In
both populations, heavier women reported significantly lower EI in
relation to estimated BMR than lighter women, but in the Egyptian
sample, all groups were within the expected range of EI:BMR for women;
in the American sample, all BMI groups had averages that were
considerably lower. The relationship between EI:BMR and BMI was
stronger in the American data set; obese American women had an average
EI:BMR 20.5% lower than those of normal weight women, whereas for
Egyptian women, obese subjects had average EI:BMR 13% lower than those
of normal weight.
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| DISCUSSION |
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We do not think that the Egyptian women have substantially higher
energy expenditures than assumed here and therefore underreported
intake. More than half the sample were urban dwellers, and our previous
detailed work on womens time allocation in an Egyptian Nile Delta
village indicates that even in rural areas, energy expenditure of women
is generally light by the standards assumed in the FAO/WHO/UNU 1985
report (Kirksey et al. 1992, Ricci et al. 1996). Although mild-to-moderate malnutrition, manifested as
stunting in preschool children and as micronutrient deficiencies in
women and children, is common, adult underweight is rare, and obesity
in women is as common or even more prevalent in Egypt than in the U.S.
(Khan et al. 1996
, Khorshed et al. 1998
)
(Table 2)
.
A likelier set of possible explanations is rooted in cultural context.
Egyptian women may simply be better reporters of their food intake than
are Americans. Egyptian women, particularly the respondents to this
survey, who were selected as the individuals responsible for food
procurement and preparation for the family, have very clear
gender-defined roles with regard to responsibility for the
familys food. They are responsible for what everyone in the family
eats, for planning and procurement, for kitchen and household
management either directly or by supervising others, and for allocation
of food to family members and guests at the table. They tend to be very
conscious of quantities and are functionally numerate even when not
literate, due to their responsibility for purchase of food by weight
and for management of the household food budget. Much more cooking is
done from scratch in the Egyptian setting than in the American context,
with fewer preprepared mixed dishes available and fewer meals eaten
outside the home. Such an interpretation is consistent with observation
in a Greek study (Gnardellis et al. 1998
) that men, who
presumably have less intimate understanding of food preparation,
underreported their intakes more than women. Our survey did not collect
quantitative intake data on men, thus we cannot address gender
differences in this population.
Meal patterns are somewhat more consistent and snacking is much less common for most families in Egypt than in the U.S. The Egyptian food supply is abundant and varied, with variety being limited more by economic access and preference than by availability, at least on a year-round basis; nevertheless, the total number of separate items an individual or family consumes over a period of time may be a great deal smaller than in a North American eating environment, thus simplifying the recall task.
It is also possible that some aspect(s) of the study methods
contributed to the differences observed. The food composition database
was essentially the same for the two studies with regard to energy
values of ingredients; however, our careful collection of recipes and
test-kitchen testing to fine-tune fat and water retention and
loss factors in the Egyptian survey may have provided a food
composition database superior to the USDA default values for mixed
dishes. There is no way to evaluate the contribution of this
methodological detail to the results; however, we may assume that it
resulted in more rather than less accuracy in conversion of
food-level data to nutrient intake estimates. We do not believe
that there are any substantial errors in the energy density of food
items in the Egyptian data set both because of the careful quality
control of the database and because the estimates for macronutrient
composition of womens diets in the Egyptian data are very reasonable
(average 22% of energy from fat in rural areas and 27% in cities)
(Khorshed et al. 1998
).
Anthropometric data were collected differently in the two surveys, with
the CSFII data representing self-reported heights and weights and
the Egyptian data including measured anthropometry. Assuming that bias
in self-reporting would be toward lighter rather than heavier
weights (Rowland 1990
), any bias from this
difference should have operated in the opposite direction, i.e., to
inflate the EI:BMR estimates for the American women.
Interviews were conducted in respondents homes in both surveys, by interviewers with comparable qualifications (high school or university educated women). The Egyptian study used a three-person team (usually two women interviewers in the household); the U.S. survey used a single interviewer/recorder. It is possible that the more heavily staffed design resulted in more complete probing and recording of data; however, given the extensive attention to quality control in the CSFII, we do not think this is likely to have been an important influence. It is quite likely, however, that recipes elicited in the Egyptian survey are more complete and accurate than those in the U.S. survey because the respondent was much more likely to have prepared the reported mixed dish herself.
Still another possibility is that the quantitative 24-h household food use recall, immediately before the subjects recall of her own food intake, provided an orientation aid to recall similar to the cognitive advantage intended to be conferred by the "multiple-pass" 24-h recall method recently developed by USDA. In effect, the Egyptian women were trained subjects, both by virtue of their day-to-day responsibility for food in the household and by virtue of the immediately prior recall of use of food by the entire household. Although we developed and included this innovation in response to the particular culturally defined roles of Egyptian women, it has likely produced the unexpected effect of increasing the accuracy of their reports of their own food intake. This observation supports the conclusion of Klesges et al. (1996) that training the respondent is essential to obtaining complete recall information, and emphasizes the importance of further development of methodology such as the "multiple-pass" method in the U.S. and the household recall in Egypt, which provide culturally appropriate ways of enabling the survey subject to recall events as completely as possible.
Overweight and obesity were associated with decreasing EI:BMR in both
data sets, but more strongly among the U.S. women. Obesity (BMI
30 kg/m2) characterized almost one third of the
women in the Egyptian sample and 20% in the 19941996 CSFII. The
health consequences of obesity are only beginning to be appreciated in
Egyptian culture, and social pressure to maintain a lean body shape is
nascent but not highly prevalent (Basyouny 1998
). We
noted the lowest prevalence of obesity among the least and most highly
educated women in our Egyptian sample (data not shown); among the
educated women, this may reflect the beginning of conscious efforts to
control excess body weight. However, it is likely that there is not yet
a great deal of self-consciousness about food intake among obese
individuals, which may have contributed to more accurate dietary
reporting among Egyptian women.
As relative weight for height increases, TEE and the physical cost of
activity increase (Prentice et al. 1996
); however,
activity levels themselves may actually decrease. Thus it is not
impossible that reported EI:BMR would decline slightly with obesity in
the absence of underreporting or dieting. The prevalence of dieting
among American women is very high (43.6% in a recent report)
(Serdula et al. 1999
) and does account for some (but not
all) of the apparent underreporting in the CSFII data set. Women who
reported being on a diet to lose weight had an average EI:BMR of 0.93
± 0.52, whereas those not reporting being on a diet had a mean
EI:BMR of 1.20 ± 0.55, a difference of approximately the same
magnitude as that between dieters and nondieters in the NHANES III data
(Briefel et al. 1997
). Thus, in the American data set,
some of the low EI:BMR values may result not from underreporting per se
but actual low intakes related to attempts to lose weight. Although we
are aware of no data on the subject, we do not believe that, at this
time, dieting among overweight Egyptian women is common enough to
influence the distribution of reported energy intakes.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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3 Abbreviations used: BMI, body mass index; BMR, basal metabolic rate; CSFII, Continuing Survey of Food Intake of
Individuals; EI, energy intake; IDECG, International Dietary Energy Consultative Group; NHANES, National Health and Nutrition Examination Survey; TEE, total energy expenditure. ![]()
Manuscript received November 22, 1999. Initial review completed January 6, 2000. Revision accepted March 23, 2000.
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