| | High-protein diet promotes a moderate postpartum weight loss in a prospective cohort of Brazilian womenReceived 15 October 2008; accepted 5 February 2009. Abstract ObjectiveWhether a high-protein (HP) diet promotes body weight loss (BWL) when compared with a low-protein (LP) diet is still unclear. Therefore, we evaluated the effects of an HP diet on BWL during postpartum. MethodsA food-frequency questionnaire with 81 items was applied at 6 mo after delivery to evaluate the diet of 430 postpartum women aged 18–45 y. Body weight was measured approximately at 0.5, 2, 6, and 9 mo after delivery. Body weight loss was modeled by comparing an HP diet (≥1.2 g · kg−1 · d−1) with an LP diet (<1.2 g · kg−1 · d−1) using mixed-effects linear regression models adjusted for energy intake, percentage of body fat at baseline, stature, age, race, smoking, and schooling. ConclusionA reported higher protein intake may improve moderate postpartum body weight loss. Further studies should evaluate the long-term consequences of an HP diet postpartum. Introduction  Several studies have addressed the association between child-bearing and weight retention [1], [2], [3], [4]. Nearly 20% of women do not return to their prepregnancy body weight, and some women retain significant weight after delivery [2]. Many predictors have been associated with body weight change during the reproductive cycle: age, physical activity, smoking, lactation, and diet [1]. Also, the weight retained postpartum is highly correlated with weight gain during pregnancy [3], [4]. Despite the growing prevalence of obesity worldwide and the role of the reproductive period in weight gain, few studies have addressed dietary factors associated with weight change postpartum [5], [6]. Recommendations for lactating women are highly focused on dietary intake as it relates to breast-feeding, which poses the greatest energy demand during the reproductive cycle. However, nutritional recommendations so far have not included the composition of the diet as a strategy to decrease overweight. For non-pregnant women, systematic reviews have shown that short-term high-protein (HP) diets seem to be more effective in promoting weight loss than diets rich in refined carbohydrates [7], [8]. According to Westman et al. [9], an HP diet led to a decrease in body weight in 41 of 51 overweight or obese volunteers who completed a 6-mo follow-up program following a very low-carbohydrate diet [9]. In that study, 95% of subjects lost weight, representing mean decreases of 10.3 ± 5.9% in body weight and 2.9 ± 3.2% in fat mass. Positive results were also observed in a clinical trial performed by Farnsworth et al. [10], in which the replacement of carbohydrate with protein seemed to have caused the preservation of lean body mass and the decrease in serum triacylglycerol concentrations. Two other randomized studies also showed that HP diets seemed to improve body composition, blood lipids [11], [12], and satiety [11]. Although these studies have provided some evidence that an HP diet improves body composition, there are no studies of this sort performed with postpartum women. As a matter of fact, lactating women are usually excluded from these types of trials [9], [13] due to possible safety concerns [14]. In general, HP diets are associated with a Western dietary pattern that is rich in red meat, saturated fat, processed and refined foods, and restricted in fruits and vegetables [15]. This dietary combination increases the risk of coronary heart disease [16], [17] and the incidence of cancer [18], [19], making safety a major concern in the long-term use of HP diets. Nonetheless, it is interesting to note that the recommendation regarding the consumption of protein of 0.8 g/kg of body weight daily (grams per kilogram per day) for non-pregnant women is increased to 1.3 g · kg−1 · d−1 during lactation [20]. Thus, prospective studies looking at the effects of a protein-rich diet during the reproductive period seem to be a feasible and acceptable way of evaluating the role of dietary composition in body weight change postpartum. The aim of this study was to evaluate whether women with a protein intake above 1.2 g · kg−1 · d−1 of body weight, considered an HP diet by the Food and Nutrition Board [21], would show greater body weight loss postpartum when compared with a low-protein (LP) diet group. Materials and methods  Data were obtained using a prospective cohort design with three follow-up evaluations (2, 6, and 9 mo after delivery). Baseline was considered at 0.5 mo postpartum. Data were gathered from May 1999 to April 2001 (15-mo recruitment and 9 mo of follow-up) at a primary health service center (Marcolino Candau Municipal Health Center, Rio de Janeiro City, Brazil). Participants were recruited 1) during prenatal routine care at the municipal health center, 2) at the time of the newborn's bacillus Calmette-Guérin routine immunization at the same health center, and 3) at the main maternity hospital in the area of study, 1 to 3 d after delivery. All study protocols met the guidelines of the research ethics committee and were approved by the Center for Collective Health Studies of the Federal University of Rio de Janeiro. Informed consent was obtained from all participants. Additional details can be obtained from Kac et al. [22], [23]. Eligibility criteria for enrollment in the cohort were an age 15 to 45 y, the first interview being conducted within 30 d after delivery (baseline was approximately at 0.5 mo postpartum), absence of chronic diseases, no history of actual multiple births, gestational age at delivery at least 35 wk, and a household address within the area of the local health center. A total of 709 women were invited to participate and 479 accepted (Fig. 1a). Women younger than 18 y (n = 47) were excluded from analyses. Other exclusion criteria were subjects with an energy intake (EI) below 500 kcal and above 5000 kcal [24]. Two subjects with an EI above 6000 kcal during pregnancy were excluded from analysis. To avoid a wide range of under- or over-reporting and provide more confidence for ours results, we repeated the statistical analyses described above, excluding women with an implausible ratio of reported EI to basal metabolic rate (MBR). We adopted 1.14 and 2.39 as cutoff points for under- and over-reporting, respectively [25]. The pattern of loss to follow-up has been discussed previously [2], [22] and we demonstrate that the losses to follow-up were random with respect to all variables except age: women who dropped out from the study were younger. For the present analysis, loss to follow-up at the end of the study came to 34%, but more than 70% of women were followed until 6 mo (Fig. 1a). Body weight at baseline (P = 0.30) and prepregnancy weight (P = 0.27) were not different between those who were followed and those who dropped out. No differences of loss to follow-up according to the exposure variable were observed among women who were followed until 6 mo postpartum and women at baseline (P = 0.61). Protein intake per body weight was 1.43 ± 0.52 g · kg−1 · d−1 versus 1.47 ± 0.62 g · kg−1 · d−1, respectively. Anthropometric variables Weight was measured approximately at 0.5, 2, 6, and 9 mo postpartum (Fig. 1a). Of the 430 women at baseline, we were able to collect data on 380 (88.4%) at the 2-mo follow-up, 311 (72.3%) at the 6-mo follow-up, and 283 (65.8%) at the 9-mo evaluation. At each follow-up, women were weighed while wearing light clothes and without shoes on a digital scale (PL 150 model, Filizzola Ltda., São Paulo, Brazil) with a capacity for 150 kg and a precision of 0.1 kg. The scale was routinely calibrated. Prepregnancy body mass index (BMI) was calculated using prepregnancy weight reported and BMI was calculated using weight measured at baseline. Stature was measured using a Holtain-Harpeden stadiometer (Harpenden Stadiometer Inc., Croswell, Crymyuh, United Kingdom) to the nearest 0.1 cm at baseline. Percentage of body fat (%BF) was estimated at baseline using an electrical impedance technique (BIA 101Q; RJL Inc., Clinton Twp, USA) with equations provided by RJL Inc. Anthropometric measurements were obtained in accordance with the method of Lohman et al. [26]. Dietary intake variables Dietary intake was assessed using a semiquantitative food-frequency questionnaire (FFQ), previously validated [27]. The study of the FFQ's validation for the Brazilian diet showed a similar pattern of correlation with other studies. For protein, the correlation coefficient between 24-h recall and the FFQ was 0.44. When results were showed by occupation, the correlation increased to 0.53 among staff professionals (housekeeping, mail delivery, among others). The FFQ was administered two times over 9 mo postpartum. First, the questionnaire was applied at baseline (data not shown), when the information about dietary intake during pregnancy was collected. Then the FFQ was administered at 6 mo after delivery, i.e., at the second wave of follow-up (Fig. 1b), to illustrate the diet during postpartum. Thus, the assumption was made that the dietary intake did not change during the last 3 mo of follow-up (6 to 9 mo after delivery). At baseline, 421 (98%) women answered the FFQ and 278 (65%) women were present at 6-mo follow-up. The FFQ included 81 food and beverage items. The subject indicated the frequency of consumption and the number of portions for each item considering the previous 6 mo as a timeframe. It has been shown that FFQ is the most commonly used method for measuring an average long-term diet in epidemiologic studies [28]. Frequency was recorded in eight categories ranging from “two times or more per day” to “never or almost never.” Portion sizes were determined based on usual intake standards. Energy intake and diet composition (nutrients, food, and food groups) were determined from the food composition database elaborated by the Escola Paulista de Medicina [29] or from values used by a national family-budget study [30]. Estimates of dietary intake were obtained using a program previously developed [24] using SAS 8.2 [31]. The dietary intake variables and their respective portion measurements were energy (kilocalories), protein (grams), daily grams of protein per kilogram of body weight, eggs (units), chicken (piece = 40 g), meat (steak = 60 g), fish (fillet = 120 g), milk (glass = 165 mL), and beans (spoon = 80 g). Daily protein intake in grams by kilogram of body weight over the first 6 mo postpartum was calculated using the weight measured at the 6-mo follow-up. The dichotomization of protein intake groups was done using the cutoff of the Food and Nutrition Board's classification [21]. Women with a protein intake ≥1.2 g · kg−1 · d−1 were comprised the HP group and women with a protein intake <1.2 g · kg−1 · d−1 comprised the LP group. Although all macronutrients had a positive association with energy intake (P < 0.0001), these variables were not correlated with BMI. Protein intake per kilogram of body weight was chosen to be a representation of total EI, because the main hypothesis concerns the effect of protein intake on body weight loss and only this variable had association with energy (0.73, P < 0.0001) and BMI (−0.48, P < 0.0001). The density of protein, as percentage of energy, and other HP food items were calculated by dividing their total intake by the total EI. Sociodemographic and physical activity variables Sociodemographic, leisure physical activity, breast-feeding, and smoking data were collected using structured questionnaires at the different waves of follow-up. At baseline, family income, marital status, and race data were collected. Total family income was a continuous variable. Marital status was categorized as married (which includes living with partner) or single. Race information was determined based on the interviewer classification of the subject as white, black, or mulatto. Educational data were obtained in the form of years of schooling at the 2-mo follow-up, and parity was obtained at the 6-mo follow-up. The current birth was included in this measurement. No women had parity less than one child (one child or at least two children). Physical activity was estimated at each time point of follow-up from a questionnaire developed by Shapiro et al. [32] and validated by Albanes et al. [33], which includes five questions regarding leisure physical activity. The score of leisure physical activity was a continuous variable. Breast-feeding was assessed at each wave of follow-up and was used as a continuous variable (total duration of predominant breast-feeding during 9 mo of follow-up in days). The covariate lactation was defined according to World Health Organization (WHO)/United Nations Children's Fund [34] guidelines. Smoking status was assessed at baseline and was classified as smoker or non-smoker. Data analysis Baseline differences between protein intake diet groups were analyzed using Student's t test and chi-square test. Longitudinal data analysis was based on mixed-effects linear regression models for repeated measures, which can accommodate time-dependent and time-invariant variables, unbalanced data, and different time intervals for each individual [35]. The analytical strategy was based on fitting multilevel models for change as proposed by Singer and Wilett [36], using SAS [31]. Body weight was the outcome time-dependent variable. Weight change was not used as the outcome variable because residuals showed a clear systematic pattern of heteroscedasticity. Socioeconomic and demographic variables and mother's nutritional and energy expenditure measurements as listed below were considered time-invariant variables in subsequent models. The interaction of these variables with time was tested and introduced in the model when P < 0.05. Models were fitted in five steps as follows: Model A: Unconditional mean model describing partition of the outcome variation. Model B: Unconditional growth model that includes time variable. Model C: Conditional model that includes the effect of the HP diet. Model D: Conditional model adjusted for time-invariant variables: EI, %BF, stature, age, race, schooling, and smoking postpartum and their interaction with time. Model E: Final model with interactions among stature, age, and race with time. The estimates were considered significant when P ≤ 0.05. Models A and B included 430 women and 1404 observations. Models C, D, and E included data from 278 women with 1085 observations. Continuous variables in models D and E were centered (mean value minus variable value) to improve interpretation. Models were fitted using an unstructured method that accounts for the dependence between occasions. The deviance statistic test was used to compare the fitted models by the maximum likelihood method. Possible confounders based on a theoretical causal model were included in the analysis according to three hierarchical blocks: 1) distal block with socioeconomic and demographic variables (age, income, schooling, marital status, race, and parity); 2) intermediary block with mother's nutritional variables (prepregnancy BMI); and 3) proximal block with energy expenditure measurements (total EI, leisure physical activity, stature, %BF, smoking, and predominant breast-feeding duration in days). These variables were considered confounders when they were associated with the dependent (body weight) and independent (protein intake) variables (P ≤ 0.20). For analysis, income, schooling, EI at baseline, leisure physical activity score, stature, %BF, and duration of total predominant breast-feeding in days were categorized into quartiles. Results showed that stature, EI and %BF were associated with outcome and predictor variables. Age and race were selected for theoretical grounds, independently of a P value, and schooling levels and smoking were included in model D due to their borderline association at baseline with protein intake. Model E excluded the interaction of age and race with time because these interactions were not significant (P > 0.05). Except for race (P = 0.22), which was forced into the model and, smoking (p = 0.66) and schooling (p = 0.09), which had a significant interaction with time, all of the confounders had a significant association with the outcome in the final model (P < 0.05). Although breast-feeding and physical activity were not eligible as confounders in our analyses, we separately tested both variables in model D because they are considered important predictors of high energy expenditure (data not shown). Results  Women with an HP diet had shorter stature and were thinner at baseline compared with those using an LP diet. Mean age of the HP group was younger than that of the LP group; 16% of women in the HP group were at least 30 y old and 31% in the LP group were of the same age. Also, there was a lower proportion of whites in the HP group and a higher proportion of non-smokers in the LP group. No other differences were observed between diet groups (Table 1). The total EI was higher in the HP group than in the LP group (2623 versus 1791 kcal, respectively, P < 0.0001). EI varied from 610 to 4294 kcal (Table 2). Mean intakes of protein per kilogram of body weight (grams per kilogram per day) and total protein intake (grams per day) were higher in the HP group postpartum: 1.54 ± 0.32 g · kg−1 · d−1 in the HP group and 0.83 ± 0.20 g · kg−1 · d−1 in the LP group. Also, the density of the protein from the diet was higher in the HP diet. Women in the HP group had a greater consumption of all HP food items in the FFQ. Except for chicken and beans, the overall protein density, measured by the protein as a percentage of EI, was also greater in the HP group, but the consumption of a few food items was statistically different between groups (Table 2). The study showed that women who had an HP diet postpartum lost more total body weight (1.96 ± 4.14 kg) compared with women who had an LP diet (1.12 ± 5.18 kg, P = 0.13). During the 9 mo postpartum, the mean body weight loss among all women was 1.34 ± 4.9 kg. More than 60% of women had lost weight at 2, 6, and 9 mo of follow-up. At the end of the study, 35% of women had a body weight that did not change or increased from baseline. Analysis of data regarding the changes in body weight postpartum indicates that women with an HP diet lost more weight than women with an LP diet at each time point after baseline (Fig. 2). Based on an average body weight loss at 6 mo postpartum, women with an HP diet lost more body weight than did women with an LP diet (1.69 ± 3.7 versus 0.77 ± 4.3 kg, P = 0.08). Comparing the mean weight at baseline with the mean weight at the 9-mo follow-up, we observed that the mean difference in body weight loss between the HP and LP groups was 0.84 kg (P = 0.17). These crude observations were later confirmed in the adjusted analysis presented in Table 3. | | |  | | | Parameter | Model A | Model B | Model C† | Model D‡ | Model E‡ |  |
|---|
 | Fixed effects | | | | | | | |  |  | Initial status | Intercept | Weight | 62.2 ± 0.59|| | 62.8 ± 0.59|| | 66.7 ± 0.87|| | 62.9 ± 2.03|| | 62.7 ± 2.03|| |  |  | | | HP/LP | | | −10.15 ± 1.47|| | −4.28 ± 1.03|| | −4.28 ± 1.03|| |  |  | Rate of change | Intercept | Weight | | −0.153 ± 0.02|| | −0.123 ± 0.03|| | −0.608 ± 0.12|| | −0.548 ± 0.12|| |  |  | | | HP/LP | | | −0.104 ± 0.05§ | −0.313 ± 0.06|| | −0.316 ± 0.06|| |  |  | Variance components | | | | | | | |  |  | Level 1 (within) | | | 5.91 ± 0.28|| | 5.59 ± 0.25|| | 5.71 ± 0.29|| | 5.14 ± 0.26|| | 5.16 ± 0.28|| |  |  | Level 2 (between) | | | 147.5 ± 10.21|| | 147.8 ± 10.22|| | 131.6 ± 11.33|| | 30.0 ± 2.70|| | 30.0 ± 2.70|| |  |  | Goodness-of-fit | | | | | | | |  |  | − 2 res log likelihood | | | 8337.8 | 8289.8 | 6225.3 | 5818.4 | 5799.1 |  |  | Akayke information criterion | | | 8341.8 | 8293.8 | 6229.3 | 5822.4 | 5803.1 |  | | | |
| ∗ Models were fitted using a random intercept. Model A is an unconditional means model. Model B is an unconditional growth model. Model C adds the interaction between linear time and the dummy variable protein by kilogram of weight (high protein ≥1.2 g · kg−1 · d−1) as a fixed effect of the level-two predictor postpartum. Model D is a conditional model with the controlled effect of the high-protein diet predictor variable adjusted by energy intake, percentage of body fat at baseline, stature, age, race, smoking, schooling, and their interaction with time. Model E is a conditional model with the controlled effect of the high-protein diet predictor variable adjusted by energy intake, percentage of body fat, stature, age, race, smoking, and schooling and between the interaction of time with energy intake, percentage of body fat, smoking, and schooling. †Unadjusted model. ‡Adjusted model. §P ≤ 0.05. ||P ≤ 0.01. |
Repeated measurement analysis built through nested models indicated a systematic variation of body weight within and between women in model A (Table 3). Model B showed, from a pseudo Rε2 statistic (pseudo Rε2 = [(σε2 model A − σε2 model B)/σε2 model A]), that time accounts for only 5.3% of body weight loss (P < 0.0001). The estimate of an intraclass correlation coefficient (ŷ = σ02/σ02 + σ02) indicated that 96% of the total variation in body weight loss was attributable to difference between women. Therefore, inclusions of predictor variables of the second level explain most of this variation. Adjusted model E showed that there was a significant difference in body weight loss over time between the HP and LP groups (Table 3). The estimated average weight reduction was 316 g/mo greater in the women with an HP diet postpartum. Women who had an HP diet lost more weight over time than women who had an LP diet postpartum (863 versus 548 g/mo). The EI:MBR ratios were 2.02 ± 0.49 in the HP diet group and 1.24 ± 0.32 in the LP group. About 18% of women with an HP diet were classified as over-reporters and 35% of the women with an LP diet were classified as under-reporters. None of the women with an HP and LP diet reported an EI:MBR below 1.14 or over 2.39, respectively. Further analyses showed that th exclusion of women with an EI/MBR below 1.14 or above 2.39 did not change the results that women with an HP diet lost more (324 ± 0.06 g) per month than women with an LP diet (P < 0.0001). Discussion  Although the difference in body weight loss due to the HP diet was relatively small, this difference could become significant over time, constituting a possible strategy to lose and subsequently maintain an adequate body weight after pregnancy. Different from randomized trials [11], [13], the subjects of our study were not assigned to an HP or LP diet group. The pattern of HP intake that was observed among women was their usual diet. It means that adherence to the diet and significant difference of body weight loss can be maintained over time. Mean body weight losses for both dietary groups were lower than the Institute of Medicine (IOM) [37] recommendation of about 2 kg/mo after the first month postpartum for women with low or normal prepregnancy BMI. This fact could corroborate with idea that the diet was the primary determinant of the small weight change over time among women. Data not described in the present report showed that all covariables included in the multivariate model were not different (P > 0.05) between diet protein groups at 6 mo postpartum, except prepregnancy BMI and %BF variables. Also, previous analysis of these data comparing intake during pregnancy with postpartum intake showed that those women with greater energy restriction from pregnancy to postpartum changed to the greatest concentration of protein by EI postpartum [38]. This suggests that it was the specific dietary change, and not the general lifestyle, that was associated with the greater weight change. However, this is the first study examining the effects of an HP diet intake on postpartum body weight loss, and this dietary approach should be tested in controlled studies. There is increasing evidence regarding the advantages of HP diets in promoting body weight loss [9], [12], [13], [39] based on short-term studies as reviewed by Halton and Hu [40]. Also, an HP diet appears to be an effective tool to preserve body lean mass [10], [41]. Metabolic improvements on satiety [11], [35], [42], [43], insulin sensitivity [7], [39], and blood lipid profiles [8], [9], [13], [14] have also been observed. A recent meta-regression analysis used to evaluate the effects of dietary composition on body mass and composition during energy restriction showed that HP diets improve body composition and present metabolic advantages when compared with LP diets [44]. Also, HP diets appear to have a significant effect on energy expenditure. A randomized, single-blind, three-way cross-over study with three isoenergetic interventions (with a low-fat and HP diet of pork meat, a low-fat and HP diet of soy protein, and a low-fat and high-carbohydrate diet) concluded that lower levels of carbohydrate increased energy expenditure [42]. A randomized cross-over trial compared the dynamic effects of two experimental diets, an HP diet and a normal-protein diet, and showed that the thermogenesis caused by an HP diet can explain the efficacy of this diet for weight loss [45]. Postprandial resting energy expenditures were 8 and 14 kcal higher in the HP diet group after breakfast and lunch, respectively. As a function of the greater nutritional requirements during lactation, additional protein intake has been recommended. The WHO recommends 0.75 g of animal protein per kilogram of body weight [46], which corresponds to 0.91 g of protein per kilogram in the Brazilian diet. The WHO recommends daily increase of approximately 16.0 g of protein intake during the first 6 mo postpartum. Our results showed that women in the HP group consumed a greater amount of protein per kilogram of body weight than recommended by the WHO. Nonetheless, a much larger amount of protein was recently proposed by the IOM, with a recommended dietary allowance of 1.3 g of protein per kilogram of body weight during lactation [20]. The mean amount of protein intake in our HP group was 1.54 g, slightly larger than the new recommended values. An important methodologic aspect of our analyses concerns the breast-feeding and physical activity effects on body weight loss. Although these variables were not considered confounders in our theoretical causal model, we decided to test them separately in model D because of previous results [23]. The present results from final the model D confirms previous analyses [23] that have shown an effect of breast-feeding on body weight loss (P = 0.07) over time. No statistical significance was observed between leisure physical activity (P = 0.84) and body weight loss, probably due to the low score of leisure time between the HP and LP groups postpartum. It is important to state that the inclusion of both variables in model D did not change the effect of HP diet on body weight loss (P < 0.01). The thermogenesis of food intake was not measured and there may have been a significantly higher contribution in the HP group than in the LP group. Another fact that might have contributed to increased energy expenditure was the higher percentage of lean body mass in the HP group than in the LP group (P < 0.0001) at 9 mo postpartum. Furthermore, at the end of follow-up, %BF was lower among women with an HP diet (P < 0.0001). According to Layman et al. [11], [12], HP diets have positive effects on body composition. It seems that women with an HP diet preserved more lean body mass than those with an LP diet. Although most of our analyses were adjusted for EI, differences between nutrient densities in obese and non-obese groups in a validation study of the Brazilian FFQ questionnaire [27] indicated that the reporting of low EI does not predict a proportional reduction of nutrients. In that study, obese women reported lower carbohydrate and higher protein levels. Therefore, a possible information bias in the present study may support the alternative hypothesis of a greater difference in protein intake between groups. Women in the LP group were fatter than those in the HP group and overweight women tend to under-report more frequently [47], [48]. Under-reporting in the LP group may be partly responsible for the higher EI in the HP than in the LP group. Probably women in the LP group reported a higher protein intake than their usual diet. In this regard, it is important to state that all possible confounding variables concerning baseline weight differences between the LP and HP diets were considered at analyses and the effect of protein intake on body weight loss over time remained even after these variables were introduced, which confirms consistency of the data. It is also important to mention that the effect of a higher-protein diet on body weight loss remained even after an exclusion criterion based on EI/MBR was applied, although the LP group tended to under-report and the HP group over-report EI. An FFQ was used to evaluate usual intake postpartum and was used to rank subjects according to their food consumption and nutrient intake. Studies have shown that the FFQ has acceptable validity and reproducibility [49], [50] and present correlation coefficients between 0.5 and 0.7 for protein intake, after adjustment for total caloric intake. Also, FFQs have been largely used to collect dietary data and measure nutritional assessment postpartum [51], [52], [53]. The strength of our prospective study is that dietary information was collected during follow-up, before any dietary diagnosis, and the HP diet was the usual diet of a large proportion of participants. Usually women postpartum were motivated subjects and had a desire to lose weight. The possibility of residual confounding explaining our findings cannot be completely rejected, but our final analysis included all possible variables that could explain the dietary option of the women, such as schooling, smoking, and race. Also, loss to follow-up, a major issue in prospective and randomized studies, was not high in our analysis, because data were based on questionnaires at 6 mo postpartum, when 72% of the sample was still present, when no differences of loss to follow-up were observed according to the exposure variable. Although this investigation had a considerably high dropout rate at 9 mo, a previous analysis showed that loss to follow-up in this cohort was random considering the baseline socioeconomic variables [20] and body weight at baseline and before pregnancy. Also, the women who were followed for 9 mo postpartum had the same food intake as women who dropped out from the cohort, except for the consumption of beer and alcohol, which was greater in the former group [38]. Some investigators have observed differences between diets groups as in the women in our study at 9 mo postpartum. 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This project was funded by the Fundação Universitária José Bonifácio and the Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro. M. B. T. Castro was supported by a fellowship from the Brazilian Coordination Body for the Training of University Level Personnel (CAPES). R. Sichieri, G. Kac, and A. P. de Leon received research productivity grants from CNPq. PII: S0899-9007(09)00126-9 doi:10.1016/j.nut.2009.02.006 © 2009 Elsevier Inc. All rights reserved. | |
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