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ORIGINAL RESEARCH COMMUNICATION |
1 From the Nutrition Research Division, Food Directorate (KAC) and the Office of Nutrition Policy and Promotion (DCM and HL), Health Products and Food Branch, Health Canada, Ottawa, Canada.
2 Supported by Health Canada. 3 Address correspondence to KA Cockell, Nutrition Research Division, Food Directorate, Health Products and Food Branch, Health Canada, 2203E Banting Research Centre, 251 Sir Frederick Banting Driveway, Ottawa, ON, Canada K1A 0K9. E-mail: kevin_cockell{at}hc-sc.gc.ca.
| ABSTRACT |
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Objective: Dietary intake modeling was undertaken to determine an amount of iron supplementation that would confer acceptably low prevalence of apparently inadequate and apparently excessive intakes.
Design: The distribution of usual dietary iron intakes was estimated with the use of 24-h recalls from pregnant women aged 19–50 y in the Canadian Community Health Survey, Cycle 2.2. The prevalence of usual intakes below the Estimated Average Requirement for pregnancy (22 mg/d) or above the Tolerable Upper Intake Level (45 mg/d) was estimated. Iterative modeling with incremental iron supplement was performed to determine a suitable supplement amount. Because the sample of pregnant women was small (148 day 1 recalls), estimates of the tails of the distributions had large SDs, and supporting analyses based on intake data from nonpregnant women (4540 day 1 recalls) were made.
Results: Daily supplementation shifted the intake distribution curve without changing its shape. Supplementation with 16 mg iron/d was consistent with low (<3%) prevalence of apparently inadequate intakes. This amount of supplementation should not be associated with an increase in apparently excessive intakes by pregnant women in this population.
Conclusions: On the basis of Dietary Reference Intakes, an iron supplement of 16 mg/d throughout pregnancy is justified as both efficacious and safe for healthy women living in Canadian households. This does not preclude the need for therapeutic iron doses for some individuals on the basis of iron status. The method can be applied to other populations if suitable baseline iron intake data are available.
| INTRODUCTION |
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Many different approaches have been taken in determining an appropriate amount of iron supplementation for pregnant women. One common approach has been to urge supplementation at a dose equal to the Recommended Dietary Allowance for iron (3, 4). Others have recommended amounts of iron supplements that were seen to be associated with higher, if not the highest possible, maternal hemoglobin concentrations (5, 6). Few if any of these approaches had attempted to take into account the iron ingested in foods, although the recommendations from Health Canada's Scientific Review Committee for the 1990 Nutrition Recommendations for Canadians considered iron intake that comprised 13 mg from diet plus supplements of 5 and 10 mg/d in the second and third trimesters (7). Early recommendations did not appear to show major concerns about possible detrimental effects of high amounts of iron supplementation other than hemochromatosis, although warnings about possible harm of excess supplementation appeared by 1990 (4).
With the publication of the DRIs for iron (2) and the separate detailed report on the application of the DRIs in dietary assessment (8), and with the availability of data from the Canadian Community Health Survey (CCHS) Cycle 2.2 Nutrition (9, 10), there is opportunity to consider the introduction of a new approach to establishing an appropriate, adequate, and safe amount of prenatal iron supplementation to be recommended for use by the general public. Such an approach is presented here and is built on recognition of the real purpose of nutrient supplements: to fill the gap between nutrient intake from food and estimated need (11).
The specific objective of the present work was to apply the DRIs for iron in determining an amount of iron supplementation that could be recommended by Health Canada to pregnant women in the general healthy population of Canada. In developing such a recommendation, the distribution of usual intakes of iron from food in this population was to be taken into account. The recommended supplement amount should complement the iron already ingested in food, with a combined (food + supplement) iron intake sufficient to meet the needs of almost all of the consumers and not so high as to potentially do harm to users. The general method presented here would be applicable to any population in which suitable baseline iron intake data and estimates of both requirements and Tolerable Upper Intake Levels (UL) are available.
| SUBJECTS AND METHODS |
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95% of the respondents represented in the Master Files, the files are weighted so that the Master File and the Share File produce comparable results (9). The Share File, used in the present work, included estimated day 1 food intakes from 24-h recalls of 148 pregnant women aged 19–50 y and 4540 nonpregnant women in the same age range. Repeat intake estimates (ie, day two 24-h recalls) were available for subsamples of these groups (55 pregnant women and 1474 nonpregnant women, aged 19–50 y). Distributions of usual dietary iron intake (from food alone) were estimated from these 24-h recall data as described below. Only statistical aggregate data are included in this report, which cannot be used directly or indirectly to identify any person, business, organization, or specific product, in accordance with agreements between Health Canada and Statistics Canada on the use of the CCHS 2.2 Share File data.
Description of the general approach
The prevalence of apparently adequate iron intakes was assessed by estimating the proportion of women with intakes below the Estimated Average Requirement (EAR) for iron in pregnant women, 22 mg/d. This approach, referred to as the "EAR cut-point method," has been described and validated by a DRI committee (8) as an extension and enhancement of the probability approach described much earlier (12). There are 3 conditions that must be met before the EAR cut-point method can be used (8):
To assess the prevalence of intakes that might be associated with detrimental effects of higher exposure, the DRI estimate of the UL (45 mg/d) was applied.
The general modeling approach adopted in this work was to add successive increments of iron to the reported food iron intakes and then estimate the new distribution of usual intakes. For modeling purposes, 2 assumptions were made: 1) all women consumed the same amount of supplement each day and 2) the total daily intake of iron was the sum of the dietary intake plus the modeled supplemental iron. For each distribution curve, intakes and proportions of individuals who would be expected to have intakes below the EAR or above the UL were evaluated. Clearly, the desirable amount of supplementation would be one that was associated with the lowest possible proportions for both. A practical goal was set as achieving expected prevalence <2–3% for apparently inadequate intakes, without raising the prevalence of apparently excessive iron intakes above the UL. This working goal was consistent with the approach discussed in both DRI reports on application (8, 13) and with targets set by Health Canada in developing the new Food Guide for Canadians (14).
The number of pregnant women included in the CCHS 2.2 survey was small (148 in the dataset used), and, as a consequence, the usual iron intake estimates derived from this group had large SDs. As supporting evidence to help inform the decision process, analyses based on the much larger sample of nonpregnant women were undertaken, with the application of the EAR and UL values for pregnant women. There were 4540 day one 24-h recalls and 1474 day 2 recalls in this set. The focus of these supporting analyses was the behavior of the distribution tails and successive prevalence estimates with incremental iron supplement additions to the model.
Three operating goals for this work were established as follows:
Estimating the distribution of usual iron intakes of pregnant women in Canada and prevalence of inadequacy and potential excess
With the 148 day one and 55 day two 24-h dietary recalls of daily iron intake by pregnant women aged 19–50 y from the CCHS 2.2 Share File, the baseline usual dietary iron intake distribution was estimated with the approach developed by Nusser et al (15). This approach was implemented with the use of Software for Intake Distribution Estimation (SIDE) developed at and distributed by the Iowa State University. SIDE version 1.11, written in SAS/IML, was used. SIDE is a generalized software product with default settings for some variables. All analysis variables were set to the default values. The effect of day-to-day variation in eating patterns was adjusted for in the analyses.
In addition to the estimate of the mean, the percentiles of the usual intake distribution, and the prevalence estimates, the variance of these estimates was also calculated. The CCHS 2.2 has a complex survey design and therefore no mathematical formula exists to directly calculate the sampling variability. A replication method, bootstrap variance estimation, was used to estimate the variances (16, 17). The mean of the usual intakes was equal to the mean of the daily intake using day 1 recalls only. Using 500 bootstrap weights provided by Statistics Canada, 500 bootstrap estimates of the mean were obtained. Finally, the variance was calculated as the mean of the squared differences between the 500 individual bootstrap estimates and the mean of 500 bootstrap estimates. This provided an estimate of the variance of the mean.
To estimate the variance of the percentiles and prevalence estimates, a slightly different method was used. Because SIDE may fail when using some of the 500 bootstrap weights, there may not be all 500 percentile estimates and prevalence estimates available. Instead of using the mean of the nonfailed bootstrap estimates in the variance formula, the variance was calculated as the mean of the squared differences between the nonfailed bootstrap estimates and the root estimate (the estimate based on the design weights). This accounted for some of the bias caused by SIDE failing for some bootstrap weights.
Modeling approach for determining a suitable amount of iron supplementation for Canadian women during pregnancy
Initially, 2 mg supplemental iron was added to each individual's day 1 and day 2 intakes, and the prevalence of both apparent inadequacy and excess was calculated. These steps were repeated in increments of 1 or 2 mg of supplemental iron until a low prevalence of apparent inadequacy (<3%) was achieved. The prevalence of potentially excessive intakes was then evaluated by comparison with the UL. In keeping with Statistics Canada and Health Canada practices for reporting of data derived from the CCHS 2.2 dataset (9, 10), some prevalence estimates with higher uncertainty terms must be interpreted with caution or have been suppressed (as described in the footnotes to Tables 2 and 3).
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| RESULTS |
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An estimation of the prevalence of apparently excessive intakes proved to be more difficult with the available data. With the use of the small dataset for pregnant women, baseline prevalence of intakes greater than the UL for iron was estimated to be <1% (Table 3). With supplement amounts ranging from 14 to 24 mg/d, excessive statistical uncertainty caused suppression of the prevalence estimates for apparently excessive intakes. With 27 mg iron supplement/d, the estimated prevalence of intakes above the UL emerged as 33 ± 9.6% of the pregnant population. With the larger dataset for nonpregnant women, the prevalence of intakes above the UL was estimated to be <1% up to supplement amounts of 20 mg/d, and with 24 mg iron supplement/d the prevalence of apparently excessive intakes was <3%. However, because of the separation in the upper tail of the distributions in which intakes of pregnant women were higher than those of nonpregnant women, and given that statistical uncertainty did not allow for estimating the prevalence of intakes above the UL for pregnant women with iron supplement amounts ranging from 14 to 24 mg/d, it was not possible to unequivocally establish the amount of iron supplementation that would be associated with an apparently excessive intake prevalence of <3%. Within these limitations, the totality of the available evidence suggests that an iron supplement of 16 mg/d should yield low prevalence of apparently inadequate intakes and should not increase the prevalence of apparently excessive intakes for pregnant women in the general healthy population of Canada.
| DISCUSSION |
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The survey data used in these modeling exercises included women who were identified as members of households in the 10 provinces of Canada, thereby excluding those in institutions and those with no fixed address (9). Furthermore, the 3 northern federal territories of Canada were not included in the CCHS 2.2 survey, and with that exclusion some of the indigenous population of Canada. Interpretation and application of these analyses must therefore be confined to women in the household population of the 10 provinces of Canada. The same analytic approach could be applied to other population groups if intake data become available. There is no reason to believe that iron requirements are different for the excluded groups of Canadian women, but usual iron intakes might be substantially different from those seen in the general population.
In addition, it must be recognized that the general population guidelines issued by Health Canada are designed to be preventive in nature. Some pregnant women will present situations in which iron therapy, involving higher amounts of administration, may be indicated. It is assumed that pregnant women in the general population of Canada have access to prenatal services and that therapeutic amounts of iron can and will be prescribed on clinical indication. Therefore, there is no reason to urge therapeutic amounts of iron intake for all pregnant women in Canada.
This work addresses the amount of iron supplementation that could and should be promoted in Canada as safe and adequate for pregnant women. The expected prevalence of apparent inadequacy and potential excess presented here refer to women who take the supplement daily. The choice of an appropriate supplement amount does not diminish the need for educational and other activities designed to encourage use of the supplement. There is one aspect of the proposed amount of supplementation that might favorably affect compliance. The UL for iron was set on the basis of reported gastrointestinal side effects (2). If the expected prevalence of intakes above the UL is held as low as possible, such side effects of supplementation may be reduced, and compliance with daily use of the supplement may be enhanced.
The present recommendation of supplementation with 16 mg iron/d during pregnancy is similar to the results of a randomized clinical trial wherein iron supplementation of 20 mg/d from week 20 of pregnancy until delivery was shown to be effective in reducing the incidence of maternal iron deficiency and anemia, compared with a matched placebo, without causing any noticeable side effects (18). The results of the intake modeling exercise presented here do not fundamentally disagree with these clinical observations. It is of interest to note that, if past practices are continued and supplements equal to the Recommended Dietary Allowance for pregnant women (27 mg/d) are used, the prevalence of apparently inadequate intakes would indeed be very close to zero, but the expected prevalence of potentially excessive intakes would be elevated.
If there are major changes in food fortification practices affecting the usual dietary intakes of pregnant women, the recommended amount of iron supplementation would need to be reviewed and possibly adjusted. The approach outlined in this work would be appropriate to that task, assuming that the existence of suitable intake data reflected the changes in the food supply. The present, innovative approach to evaluation of a desirable amount of iron supplementation, taking into account the distribution of usual iron intakes from food in the target population, is a generalizable model of DRI application.
| ACKNOWLEDGMENTS |
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The authors' responsibilities were as follows—All authors contributed to conception, design, conduct, and interpretation of this work. KAC, DCM, and HL are employees of Health Canada. None of the authors declared a conflict of interest.
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