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ORIGINAL RESEARCH COMMUNICATION |
1 From the Department of Foods and Nutrition (WWC and NSC) and the Department of Statistics (GPM), Purdue University, West Lafayette, IN, and the Mathematics Department, Brigham Young University, Rexburg, ID (CAJ)
See corresponding editorial on page 1187.
| ABSTRACT |
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Objective: This study assessed the effect of age on the EAR and RDA for protein.
Design: Twenty-three younger (age: 21–46 y; 11 men, 12 women) and 19 older (age: 63–81 y; 8 men, 11 women) persons completed three 18-d trials with protein intakes of 0.50, 0.75, and 1.00 g protein · kg body wt–1 · d–1. Nitrogen balance was determined by using data from total nitrogen analyses of duplicate food composites and complete urine and feces collections from days 14 to17 of each trial. Each subject's protein requirement was estimated by using linear regression of protein intake and nitrogen balance data from all 3 trials and inverse prediction.
Results: The mean (± SD) protein requirement was not different between the younger and older subjects: 0.61 ± 0.14 compared with 0.58 ± 0.12 g protein · kg body wt–1 · d–1. On the basis of individual requirement estimates from the younger and older subjects combined (2.5% trimming from each tail and variation estimated by the bootstrap), an adequate protein allowance for these subjects was calculated to be 0.85 ± 0.21 g protein · kg body wt–1 · d–1.
Conclusions: These short-term nitrogen balance results suggest that the requirement for total dietary protein is not different for healthy older adults than for younger adults and that the allowance estimate does not differ statistically from the RDA.
| INTRODUCTION |
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19 y. Very limited nitrogen balance data obtained from older persons were available to support the conclusion, which was made without great confidence, that age does not affect the need for dietary protein (3). Consensus with regard to the protein needs of older persons is lacking, with some research (4–6) and interpretive reviews (3, 7, 8) supporting the adequacy of the RDA and some research (9–13) and interpretive reviews (10, 14), which suggests that the RDA should be higher. The 2002/2005 Panel on Macronutrients from the Food and Nutrition Board of the Institute of Medicine, working in cooperation with Canadian scientists (2), affirmed the need for more data to evaluate the dietary protein requirements of older persons. Numerous factors have weakened the results and conclusions of past nitrogen balance studies, for example, only studying men or women, not studying younger adults as a control group, inadequate periods of dietary control to establish metabolic steady state at a given protein intake, using subjects who have undocumented or uncontrolled medical conditions that could affect physiologic and metabolic status, inadequate or excessive energy intakes, incomplete collections of urine and feces, and not accounting for miscellaneous nitrogen losses. These issues can be addressed by using an accepted nitrogen balance protocol (15).
The purpose of this study was to assess the effect of age on the EAR and adequate allowance for dietary protein using a nitrogen balance protocol. On the basis of previous research and on interpretations of published nitrogen balance data (10), we hypothesized that the EAR and adequate allowance for protein would be higher in older than in younger adults.
| SUBJECTS AND METHODS |
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Forty-eight persons completed the protocol (12 YM, 15 YW, 10 OM, and 11 OW). Data from 6 subjects (1 YM, 3 YW, and 2 OM) were not usable because of probable prostate cancer (1 OM) and noncompliance with the dietary control (other 5 subjects). Thus, data from 42 subjects were included in the analyses: 11 YM (10 whites and 1 Asian), 12 YW (10 whites and 2 African Americans), 8 OM (all whites), and 11 OW (all whites).
Experimental design
Each subject completed in random order three 18-d periods (trials) of strict dietary control, with a minimum of 1 wk of unrestricted habitual food intake between trials. The study was conducted on an outpatient basis, and only a few of the OW resided at the University of Arkansas for Medical Sciences General Clinical Research Center to decrease the burdens of transporting food supplies and urine and feces collections. All of the YW began each trial 5–7 d after the onset of their menstrual cycle. The procedures and testing were the same for each trial, except for the macronutrient distribution of the diets provided. The 3 trials were identified by the amount of protein that each subject was provided to consume: lower protein (LPro; 0.50 g protein · kg body wt–1 · d–1, 63% of the RDA), medium protein (MPro; 0.75 g protein · kg body wt–1 · d–1, 94% of the RDA), and higher protein (HPro; 1.00 g protein·kg body wt–1 · d–1, 125% of the RDA). Testing of all OW and one-third of the YW was performed at the University of Arkansas for Medical Sciences between November 1998 and June 2000. Testing of the remaining YW and all YM and OM was performed at Purdue University between March 2001 and May 2003.
Diet
The subject's meals were provided by using a 3-d rotation of menus. Each daily menu was customized to provide sufficient total energy to meet the individual subject's energy requirement. Each subject's energy requirement was estimated to equal their resting energy expenditure [predicted from a sex-specific Harris-Benedict equation (16)] times 1.70 (all women and most men) up to 2.6 (>1.7 for one older man and a few YM) to account for the energy expenditure of physical activity. On the first day of each trial, the subjects were provided a very-low-protein diet (<0.2 g protein · kg body wt–1 · d–1) that was used to quicken the metabolic adjustments to the subsequent protein intakes (15). The menus used from days 2 to 18 of each of the 3 trials included highly digestible, animal-based proteins from egg (LPro, 1.9% of total protein; MPro, 3.0%; HPro, 4.2%) and dairy (LPro, 12.0%; MPro, 29.3%; HPro, 26.6%) sources, but were void of meats because the high protein contents of muscle-containing foods make them difficult to incorporate into lower-protein menus. The nonprotein energy content of each menu within a trial, and among the 3 trials, was maintained at 65% carbohydrate and 35% fat.
The subjects were regularly counseled to completely consume all of the foods and beverages provided to them and to not consume any nonprotocol food items. All weekday morning meals were consumed under supervision at our dining facility, and lunch, dinner, and weekend meals were packaged and taken home. Each subject agreed to scrape and rinse all utensils, dishes, and glassware with water and to consume the rinsings. Starting 1 wk before the first trial and continuing until the end of the third trial, including the periods between trials, the subjects were instructed to not ingest any self-administered vitamin and/or mineral supplements and to not consume alcohol. One multivitamin and multimineral supplement tablet (Advanced Formula Centrum; Wyeth Consume Healthcare, Madison, NJ) was provided to the subjects daily. Ad libitum water intake was allowed, encouraged, and documented (17). The energy and macronutrient contents of the menus were calculated by using Nutritionist Pro computer software (version 1.5, First Databank Inc, San Bruno, CA).
Body composition
Fasting-state nude body weight (total weight minus robe weight) was measured each weekday during the 3 trials with a digital platform scale (model 15S or ES200L; Ohaus Corporation, Pine Brook, NJ). Although body weight was measured repeatedly throughout each trial, the 6-d lead-in (trial days 1–6) to nitrogen balance assessments was not sufficient to accurately establish whether a person is weight stable (especially when they are adjusting to a new diet that could alter bowel habits, fluid balance, etc). Our experiences suggest that accurate assessments of weight stability take several weeks (average: 20 d) (18). Therefore, we made the decision to carefully monitor body weights, but to not adjust energy intakes during each trial.
Standing height without shoes was measured with a wall-mounted stadiometer. Body mass index was calculated as weight divided by height squared (kg/m2). Whole-body volume and mass were measured by using a plethysmography system (Bod Pod; Life Measurement Instruments, Concord, CA) on days 7 and 14 of each trial, and fat-free mass, fat mass, and percentage body fat were calculated from body density by using Siri's 2-compartment model equation (19). Within groups, there were no differences between days 7 and 14 within trial or between trials; thus, individual values were averaged for presentation.
Food, urine, and stool collections
During all 3 trials, the following samples were collected and processed, and aliquots were stored at –20 °C. Duplicate portions of all foods and beverages (except ad libitum water intake) that each subject consumed from the daily menus (on days 7–10 of each trial, 12 d of food and beverages total for the study) were homogenized in a stainless steel blender dedicated to the task, and aliquots were stored frozen. On days 7–9 of each trial, complete stool collections were made for 3 d. All collections were pooled into a stainless steel blender dedicated to the task and homogenized (2 parts stool to 1 part water), and aliquots were stored frozen. The accuracy of the collections was enhanced by having each subject orally consume a stool dye marker made of encapsulated food coloring (either FD&C Blue No. 1 Alum Lake 11–13% or Carmine Red; Warner-Jenkinson Co, Saint Louis MO) at the start and end of the 3-d collection periods. Samples were continuously collected until the end-of-collection marker was visually identified by a research technician. Fecal collections were not made during study days 14–17 to avoid logistical challenges and burdens to participants and staff if an end-of-collection fecal marker was not passed until after day 18. We do not feel this seriously compromised the calculation of nitrogen balance because previous research documented that weekly fecal nitrogen excretion remains constant when older persons consume the RDA for protein for 4 wk (12). Eight 24-h urine collections were made during days 7–10 and 14–17 of each trial. Data from the day 14–17 urine collection periods were used for the nitrogen balance calculations because the subjects had longer to establish a steady state (20).
Nitrogen analyses
Food, stool, and urine aliquots were analyzed for total nitrogen concentration with a Leco model FP-528 analyzer (Saint Joseph, MI). The FP-528 Determinator is a microprocessor-based software-controlled instrument that determines the nitrogen content of a sample during a 3-phase analyze cycle: 1) purge—removal of any atmospheric gases from the encapsulated sample, 2) burn—oxygen-based rapid combustion of the sample in an 850 °C furnace, and 3) analyze—the combustion product, nitrogen in a helium carrier, is measured by a thermal conductivity cell. The instrument was calibrated daily with the use of an EDTA standard, and a soy flour standard was used to confirm accuracy. On purchase from Leco, the nitrogen content of these standards was validated by comparison with National Institute of Standards and Technologies (NIST) Typical (no. 1548a) and Whole Milk Powder (no. 8435) diet reference materials. The stability of the instrument was assessed by reanalyzing EDTA every 6–10 samples. On a representative week, the within- and between-assay CVs for the soy standard were 4.1% and 4.4%, respectively. The within- and between-assay CVs for the reanalyzed EDTA samples were 5.8% and 0.7%, respectively. The protein content of each daily menu was calculated by using the conversion factor of 6.25 g protein/g nitrogen.
Nitrogen balance and calculations of protein requirement
Each subject's apparent nitrogen balance (mg nitrogen · kg body wt–1 · d–1) during the LPro, MPro, and HPro trials was calculated as IN –(UN + FN + MN), where IN is daily dietary nitrogen intake, UN is daily urinary nitrogen excretion, FN is daily fecal nitrogen excretion, and MN is daily miscellaneous nitrogen excretions, assumed to be 5 mg N · kg body wt–1 · d–1. The estimate of 5 mg N · kg body wt–1 · d–1 for MN was deemed the most appropriate to use when conducting nitrogen balance experiments in temperate climates (3) and was measured in older men (6). This formula was used to calculate nitrogen balance for the data set (3) that provided the foundation for the 2002/2005 Institute of Medicine report of the Dietary Reference Intakes for protein in the United States and Canada (2).
Each subject's nitrogen balance data from all 3 trials were linearly regressed with dietary protein intake, and inverse prediction (21) was used to estimate the protein intake that corresponded with nitrogen equilibrium. This value was considered to equal the subject's protein requirement. The mean requirements of dietary protein for the YM, OM, YW, and OW groups were calculated as the mean ± SD (with 5% trimming, 2.5% trim from each tail). The adequate protein allowance, which is comparable with the RDA, was calculated as the estimated average requirement plus twice the pooled SD, estimated by the bootstrap procedure (22).
Clinical blood variables
Fasting blood samples collected on day 12 of each trial were analyzed for leukocyte content, and aliquots of serum were used to determine the concentrations of urea nitrogen (blood urea nitrogen; BUN), albumin, and aspartate aminotransferase. These analyses were performed using standard clinical procedures at Pathology and Laboratory Medicine Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, or at the Laboratory Corporation of America (LabCorp, Burlington, NC).
Statistical methods
Values are reported as means ± SDs. Two-factor analysis of variance was used to compare subject characteristics and protein requirements. When a significant age-by-sex interaction was established, between-group comparisons were made by using Student's t test. For diet, urine, and blood variables, a three-factor, repeated-measures analysis of variance was used to assess the main effects of dietary protein intake (LPro, MPro, and HPro; within-subject effect), age (younger and older; between-subject effect), sex (male and female; between-subject effect), and their interactions. A one-sample t test was used to compare the estimated adequate protein allowance to the RDA. Significance was determined at P < 0.05. SAS 9.1.3 for Windows (SAS Institute Inc, Cary, NC) statistical software was used to perform the statistical analyses. Effect size was calculated based on the method of Cohen (23).
| RESULTS |
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| DISCUSSION |
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Contrary to our hypothesis, the results of this study suggest that there are no differences in the need for dietary protein between younger and older adults. Cheng et al (4) are the only other researchers to directly assess the effect of age on nitrogen balance responses to different protein intakes. They reported that the nitrogen balance responses were comparable in eight 23–29-y-old male prisoners and in seven 60–73-y-old male nursing home residents who consumed wheat-soy-milk–based liquid formula beverages that contained 0.4, 0.8, or 1.6 g protein · kg body wt–1 · d–1 during three 11-d trials. Both age groups were equally responsive to changes in protein intake, with increased nitrogen excretions and apparent nitrogen retention with increasing protein intake. The estimated need for protein was not different between the younger and older men, and the authors concluded that the RDA of 0.8 g protein · kg body wt–1 · d–1 should be adequate. Retrospective reanalyses of the Cheng et al data confirmed that age did not influence the need for protein (8, 10). However, interpretations of these data differ; some have concluded that the protein needs of both age groups are not different from the RDA (7, 8) and others that the needs are higher than the RDA (10, 14, 26).
The meta-analysis of nitrogen balance studies by Rand et al (3) that provided the foundation for the current RDA of protein (2) included individual subject data from 19 studies with a combined total of 235 subjects, but only 1 study with 14 subjects who were older (13). The median nitrogen requirements of the younger and older subjects (data from men and women combined) were estimated to be 104 and 131 mg N · kg body wt–1 · d–1, respectively (0.65 and 0.82 g protein · kg body wt–1 · d–1); however, this apparent 26% difference was not statistically confirmed. Analyses of group data from studies that measured obligatory nitrogen losses or nitrogen balance responses of groups of subjects who consumed different amounts of protein also did not show an age effect on protein needs. Rand et al very cautiously stated that "whereas there is a suggestion that... the healthy elderly may have a somewhat higher requirement [for protein], there is not enough evidence to make different recommendations" (3). Earlier evaluations of the published nitrogen balance data from older persons by several researchers echoed this tentativeness: some critical reviews supported the adequacy of the current RDA (7, 8) and others questioned it (10, 14, 26). Collectively, the findings from the current study, from Cheng et al (4), and from the meta-analysis by Rand et al (3) indicate that, at the whole body level, age does not appreciably affect the need for dietary protein.
The potential limitations of these previous studies with regard to subject characteristics and metabolic states, experimental designs and methods, and the assumptions and formulas used to calculate nitrogen balance and estimate protein requirements have been discussed (2, 3, 7, 8, 10, 14, 26). For example, incomplete consumption of the foods provided and incomplete collection of urine and feces would inherently bias the nitrogen balance determination toward more positive values, which translate to a lower protein requirement. Imbalances between energy intake and energy need for weight maintenance also influence nitrogen balance (27). Inadequate energy intake would increase nitrogen excretions, lower nitrogen balance, and increase protein requirement. We share the view that the length of time of controlled feeding before measuring nitrogen balance is an especially important factor that influences the findings among studies (7, 8). Most short-term nitrogen balance studies used 10- or 11-d protocols, with measurements made during the final 3–5 d of each trial. Whereas some data support the adequacy of this length of time to reestablish steady state at a given protein intake in older people (28), other data indicate that changes in urinary nitrogen excretion occur when 15- to 30-d protocols are used (12, 20, 29). It is interesting to note that most of the nitrogen balance data that support higher protein needs for older people were obtained from 10- or 11-d protocols, whereas data that support the adequacy of the RDA (6), including the current results, are from studies that measured nitrogen balance during the third week of dietary control. The decrease in urinary nitrogen excretion from week 2 to week 3 of each trial in the older women from the present study (20) highlights this issue and is consistent with the opinion that a longer period of adaptation to a given protein intake is an experimental design strength for nitrogen balance–based assessments of the protein needs of older adults (8).
Linear regression was used to interpolate zero nitrogen balance and to predict individual protein requirements based on the recommendation and use of this mathematical technique for the US Food and Nutrition Board (Institute of Medicine) determination of protein needs (2, 3). Alternative methods of statistical evaluation of nitrogen balance data exist (eg, log model, asymptotical exponential model, and biphasic linear model), but the linear model is deemed appropriate to use when nitrogen balance data are obtained from relatively few data points (3 for the current study) at protein intakes known to produce nitrogen balance responses close to zero balance (ie, the range of linearity for nitrogen balance responses) (3). The use of the alternative methods of statistical evaluation listed above resulted in higher estimates of protein requirements than did linear regression (3), a finding that was recently confirmed for the biphasic model (30). The biphasic model increases the protein requirement estimate by 20% (3) to 40% (30). This model appears to address the weakness of the nitrogen balance technique that positive nitrogen balances measured when higher protein intakes are consumed are not plausible (30). A positive nitrogen balance value is likely an artifact of the inherent bias for a subject's nitrogen intake to be overestimated and nitrogen excretions to be underestimated and does not reflect an accrual of protein mass. The validity of the biphasic model-based protein requirement estimate is severely limited by the lack of nitrogen balance data from studies in which protein intakes were above the estimated breakpoint of 0.91 g protein · kg body wt–1 · d–1 reported by Humayun et al (30).
It is appropriate to consider results from longer-term experiments when evaluating the protein needs of older people. It is well established that inadequate protein intake results in detrimental accommodative responses. For example, weight-stable older women who consumed 56% of the RDA for protein for 9 wk were in a profound negative nitrogen balance (–1.1 g nitrogen/d) and experienced significant decreases in lean body mass (–4.6%), muscle mass (–13.5%), muscle fiber area (–32.7%), muscle strength (–12.0% for chest press exercise), and immune responses (–50% for the skin test response to the number of antigens 24 h after implantation) (11, 31, 32). Specific to the adequacy of the RDA, 29 older men and women who consumed the RDA for protein for 14 wk (with or without resistance exercise training) experienced decreased urinary nitrogen excretion and a positive shift in nitrogen balance from near equilibrium at baseline (study week 2) to positive at week 14 (33, 34). Whole-body leucine oxidation decreased and net leucine balance increased among all subjects. These nitrogen and leucine balance responses are consistent with adaptive responses to improve the efficiency of protein retention and utilization. The maintenance of resting energy expenditure and protein status (serum albumin concentration) among all subjects, and the maintenance and increase in skeletal muscle strength in subjects who remained sedentary or performed resistance training, respectively, also generally support the adequacy of this protein intake. Potentially adverse accommodation responses were indicated by decreases in whole-body fat-free mass (all subjects) and midthigh muscle area (sedentary group), findings that suggest that the RDA for protein might be marginally inadequate. More research is needed to assess whether the RDA is indeed an acceptable protein intake to meet the minimum needs of older persons and to evaluate whether modestly higher "optimum" protein intakes would more effectively counter sarcopenia, especially in conjunction with exercise training (35), and promote long-term health (36).
The comparable protein intake–related changes in BUN confirm previous observations in younger and older men (4, 37). They are also consistent with the equal adaptability of the younger and older subjects in the present study for albumin synthesis (24). The BUN concentrations among all of the subjects were well below the clinical threshold for renal disease or severe dehydration. The finding that BUN was higher in the older than in the younger subjects conflicts with the data of Cheng et al (4), who reported lower BUN in older than in younger men.
Conclusion
This study provides the most comprehensive nitrogen balance–based assessment of the protein needs of older men and women ever published. The results indicate that the requirement for dietary protein is not different between apparently healthy younger and older adults, and that the recommended dietary allowance of 0.8 g protein · kg body wt–1 · d–1 is adequate to meet the minimum dietary needs of virtually all older persons.
| ACKNOWLEDGMENTS |
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The authors' responsibilities were as follows—WWC: conceived and designed the experiment and wrote the manuscript; WWC and NSC: conducted the experiment; WWC, CAJ, GPM, and NSC: processed, analyzed, and interpreted the data; and CAJ, GPM, and NSC: internally reviewed and edited the manuscript. Other publications arising from this research study include references 17, 20, and 24. None of the authors had any personal or financial conflicts of interest.
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