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© 2003 The American Society for Nutritional Sciences J. Nutr. 133:2868-2873, September 2003


Nutritional Epidemiology

Age and Disability Affect Dietary Intake1

Benedetta Bartali*, Simonetta Salvini{dagger}, Aida Turrini**, Fulvio Lauretani*, Cosimo R. Russo*, Anna M. Corsi*, Stefania Bandinelli*, Amleto D’Amicis**, Domenico Palli{dagger}, Jack M. Guralnik{ddagger} and Luigi Ferrucci{dagger}{dagger},2

* Laboratory of Clinical Epidemiology, Geriatric Department, National Institute of Research and Care on Aging (INRCA), Florence, Italy; {dagger} Molecular and Nutritional Epidemiology Unit, Cancer Study and Prevention Centre (CSPO), Scientific Institute of Tuscany, Florence, Italy; ** National Institute of Research on Food and Nutrition (INRAN), Rome, Italy; {ddagger} Laboratory of Epidemiology Demography and Biometry, National Institute on Aging, Bethesda, MD; and {dagger}{dagger} Longitudinal Studies Section, Gerontology Research Center, National Institute on Aging, National Institutes of Health, Baltimore, MD

2To whom correspondence should be addressed. E-mail: ferruccilu{at}grc.nia.nih.gov.


    ABSTRACT
 TOP
 ABSTRACT
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
The purpose of the study was to provide information on dietary intake in the InCHIANTI study population, a representative sample (n = 1453) of persons living in two towns of Tuscany (Italy), including a large number of old and very old individuals (79.5% >65 y old). We also investigated whether difficulties in nutrition-related activities were associated with inadequate intake of selected nutrients. The percentage of persons with an inadequate intake of nutrients according to Italian Recommended Nutrients Levels (LARN) was higher in the older age groups. Older persons tended to adapt their diets in response to individual functional difficulties, often leading to monotonous food consumption and, as a consequence, to inadequate nutrient intakes. Multiple logistic models were used to evaluate whether inadequate intake of selected nutrients could be predicted by nutrition-related difficulties. Reporting difficulties in three or more nutrition-related activities (chewing, self-feeding, shopping for basic necessities, carrying a shopping bag, cooking a warm meal, using fingers to grasp or handle) significantly increased the risk of inadequate intake of energy [odds ratio (OR) = 3.8, 95% CI = 1.9–7.8) and vitamin C (OR = 2.2, 95% CI = 1.2–4.2, after adjustment for energy intake). More attention to functional problems in the elderly population and the provision of formal or informal help to those who have difficulty in purchasing, processing and eating food may reduce, at least in part, the percentage of older persons with poor nutrition.


KEY WORDS: • InCHIANTI • aging • nutrient intake • food consumption • disability

Many epidemiologic studies suggest that inadequate nutrition may strongly influence health status in both young and older persons (1). A nutritionally adequate diet is considered a critical component of a lifestyle aimed at promoting healthful and active aging (2,3).

Several reports have focused on the nutritional needs of older persons (4,5), and it has been suggested that the Mediterranean diet has characteristics that are particularly suitable for an elderly population (6,7). Although Italy is probably one of the most typical Mediterranean countries, only a few studies have systematically examined dietary habits in that country (711), and even fewer have studied large and representative samples of the older population. The epidemiologic studies conducted on population-based samples have generally neglected the oldest section of the population, which includes those persons in whom nutritional problems frequently occur.

Given the above-mentioned limitations, very little information is available on the quality, quantity and composition of dietary intake in the older population, and even less is known about risk factors for inadequate intake of nutrients in older Italians. In the InCHIANTI study, we evaluated dietary intake in a population-based sample, including a large number of old and very old persons. Using data from the InCHIANTI study, we estimated the daily intake of nutrients and food. Moreover, in older persons, we evaluated whether functional problems related to eating capacity are associated with inadequate intakes of nutrients.


    SUBJECTS AND METHODS
 TOP
 ABSTRACT
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
InCHIANTI (Invecchiare in Chianti, aging in the Chianti area) is an epidemiologic study aimed at understanding the risk factors contributing to disability in late life. The study was performed in two municipalities located in Tuscany, adjacent to the city of Florence: Greve in Chianti and Bagno a Ripoli. The design and data collection methods of InCHIANTI were described in detail elsewhere (12).

In brief, in August 1998, 1270 persons >= 65 y old were randomly selected from the population registries. In addition, men and women were sampled randomly from the age strata 20–29, 30–39, 40–49, 50–59 and 60–64 y and sequentially invited to participate in the study until at least 30 men and 30 women for each decade between 20 and 59 y and 10 men and 10 women aged 60–64 y had been enrolled. Additional subjects (n = 29) were randomly selected among those who were >=90 y old, to obtain a sample of 30 men and 30 women in this age group. Of the initial 1299 subjects, 39 were not eligible because they had died or left the area. Overall, 1453 subjects were recruited. The participation rate was 69.4% in those aged <65 y and 91.6% in those aged >=65 y. Of these, 634 men (<65 y, n = 142; >= 65 y, n = 492) and 802 women (<65 y, n = 154; >= 65 y, n = 648) with an age range of 21–103 y, underwent a complete dietary interview and were included in the final analytical sample.

Clinical visits and assessments were performed in the study clinic and were preceded by an interview conducted at the participants’ homes. Trained interviewers administered two structured questionnaires. One collected data on dietary intakes and the other included many questions on household composition, social networks, economical status, education, and general information on health and functional status. Cognitive impairment was assessed by the Mini-Mental State Examination (MMSE)2 (13). In persons with hearing or aphasic problems and in those who scored <=18 on the MMSE, the interview was administered to a proxy. Overall, 77 interviews (5.2%) were conducted with proxies.

Responses to questions concerning perceived difficulty in performing selected Activities of Daily Living (14), Instrumental Activities of Daily Living (15), and the ability to chew food were used as indicators of nutrition-related difficulties. Activities investigated included the following: chewing food, self-feeding, shopping for basic necessities, carrying a shopping bag, cooking a warm meal and using fingers to grasp or handle. By combining responses to questions concerning nutrition-related difficulties, subjects were classified into three groups: no difficulties; 1–2 difficulties; >=3 difficulties.

The InCHIANTI study protocol was approved by the INRCA ethical committee. All subjects received an extensive description of the purposes and known risks of the study procedures, and all gave written informed consent.

Assessment of dietary intake.

Nutritional data were collected using the food-frequency questionnaire originally developed and validated for the assessment of dietary intake in Italian volunteers participating in the European Prospective Investigation into Cancer and nutrition (EPIC) (16), a multicenter study conducted in 10 European Countries aimed at investigating the relationship between diet and cancer (17,18).

The EPIC food-frequency questionnaire was administered by trained interviewers and provides a detailed assessment of food consumption during the previous year through a large number of structured and precoded questions. The EPIC questionnaire is organized into two parts as follows: 1) questions focusing on general dietary habits such as particular dietary regimens and frequency of meals consumed away from home; and 2) 237 questions investigating the frequency of consumption of specific food items or dishes during the last year. To improve the precision of the assessment, participants are also asked to specify the size of the portion usually consumed, in comparison to a range of portions that are shown in colored photographs.

Responses to the EPIC questionnaires were automatically read by an optical scanner. Software, specifically designed for the EPIC-Italy questionnaire, transformed information about food consumption into daily intake of food items, energy, and macro- and micronutrients. Nutrient data for specific foods were obtained from the Food Composition Database for Epidemiological Studies in Italy (19). For the purpose of this analysis, food items were further grouped into broader categories to facilitate presentation.

Persons with inadequate intake of selected nutrients were identified according to the Italian Recommended Nutrients Levels (LARN) (20) for specific age and sex groups.

Statistical analysis.

Daily intake data are reported as means ± SD, according to sex and age group. Differences in energy and selected macro- and micronutrient intakes among age groups were evaluated by ANOVA, using a general linear model. The effects of age and sex on inadequate intake of nutrients were tested by a general linear model. Finally, multivariate logistic models were used to evaluate the association between difficulty in activities related to eating behavior and inadequate intake of selected nutrients. To avoid multicollinearity, each variable with "1–2 difficulties" or "3 or more difficulties" in nutrition-related activities was singularly entered in separate models that included a fixed set of covariates, i.e., age (continuous), sex, living alone (yes/no), education (<= middle grade/high school or higher), cognitive impairment (MMSE score <=21/>21), and self-perception of inadequate economic status (adequate/inadequate). A further logistic model, designated "model 2," was also adjusted for energy intake. All analyses were performed using the SAS statistical software, version 8.1 (21).


    RESULTS
 TOP
 ABSTRACT
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
Reflecting the sex distribution of the general population, the sample included more women than men, especially in the older age groups. Older participants were more likely to be widowed, to live alone and to have received little formal education (Table 1). The number of overweight subjects, defined as BMI between 25 and 30 kg/m2, was highest in the 65- to 74-y-old age group (49%), whereas in the oldest age group, 46% of subjects had a BMI < 25 kg/m2.


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TABLE 1 General characteristics of the InCHIANTI study population

 
In both sexes, the daily intakes of energy and selected nutrients were significantly lower in the older age groups (Table 2). Differences among age groups in the percentages of total energy provided by macronutrients were significant for lipids in both sexes, and for protein in men and carbohydrates in women.


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TABLE 2 Daily energy and nutrient intakes by older men and women stratified by age group1

 
To investigate which food sources could explain the observed age-related differences in energy, macro- and micronutrient intakes, we examined the daily consumption of foods and beverages, categorized into 17 groups (Table 3). Reflecting daily energy intake, the consumption of most types of food was lower in older persons. For instance, from the youngest (<65 y) to the oldest group (85+ y), the consumption of cereal products (including pasta, rice and bread) differed by 88 and 39 g, in men and women, respectively. Interestingly, the only foods for which intake did not differ or was even higher in older persons were those that are easy to chew and that require little cooking. In fact, consumption of soups and of melba toast/crackers, easier to chew than the typical Tuscan bread, was significantly higher in older persons of both sexes. The consumption of eggs, fruit/fruit juice, milk/yogurt, tea and biscuits did not differ among age groups of either sex.


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TABLE 3 Daily food intakes of older men and women stratified by age group1

 
We evaluated the percentage of subjects with inadequate intakes of selected macro- and micronutrients. For most nutrients, the percentage of participants with an inadequate intake was higher in the older age groups (Table 4). For example, in the youngest and oldest age groups, the percentage of subjects with poor protein intakes was 4 and 38% in men and 6 and 29% in women, respectively. For vitamin C, intakes in these age groups ranged from 4 to 26% in men and from 9 to 28% in women, respectively; for folate, the range of inadequate intakes was from 4 to 38% in men and from 11 to 52% in women, respectively. The nutrient for which the greatest proportion of men and women had an inadequate intake was calcium; from 46 to 86% of men and 65 to 95% in women did not consume sufficient calcium. The proportions of subjects with inadequate intakes of all the nutrients selected were significantly greater in the older age group and were lower in men than women, with the only exceptions being protein and vitamin C and these were related only to age.


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TABLE 4 Recommended levels of nutrients in Italy (LARN) and the percentages of older men and women with inadequate intakes1

 
Because the elderly population made different food choices, we hypothesized that eating-related difficulties might explain, at least in part, the inadequate intakes of nutrients. Interestingly, having three or more difficulties in nutrition-related activities was a significant predictor of inadequate intake of energy [odds ratio (OR) = 3.8; 95% CI = 1.9–7.8) and vitamin C (OR = 2.9; 95% CI = 1.6–5.4, not adjusted for energy intake; OR = 2.2, 95% CI = 1.2–4.2, after adjustment for energy intake] (Table 5). Considering each nutrition-related difficulty separately in the multivariate logistic model, each difficulty was a predictor of inadequate intake of energy. For vitamin C, the strongest predictor (based on OR and 95% CI) was "difficulty chewing," followed by "difficulty carrying a shopping bag" (data not shown).


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TABLE 5 Odds ratios (95% CI) of inadequate nutrient intakes, as predicted by self-reported difficulties in performing eating-related activities, in persons >=65 y old1

 

    DISCUSSION
 TOP
 ABSTRACT
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 
The present study was conducted to provide information on dietary intake in a population-based sample including a large number of old and very old persons. In general, intake of energy, nutrients and of the majority of food items was lower in older compared with younger men and women. Among age groups, the difference in relative contributions of macronutrients to total energy intake was significant for lipids in both sexes, and for protein in men and carbohydrates in women. Interestingly, the mean daily intake of some foods was higher (soups, melba toast/crackers) or did not differ (eggs, fruit/fruit juice, milk/yogurt, tea, biscuits) among age groups. Because these types of food are particularly easy to prepare, cook, preserve and chew, we hypothesized that a reduced functional capacity might have a large influence on food choice and, as a consequence, on nutrient intake in old age. The difference could not be attributed to seasonal variations in diet because the age distribution of persons interviewed did not differ across seasons. In fact, the percentage of persons with inadequate nutrient intake was very high in the elderly, particularly for calcium, vitamin A and folate in both sexes and for zinc in men and iron in women. Having three or more nutrition-related difficulties was a significant predictor of inadequate intake of energy and of most nutrients. Even after adjustment for energy intake, the relationship between inadequate intake of vitamin C and disability remained significant (Table 5).

As in this study, several studies have suggested that the effect of age on dietary habits may be attributable to functional impairments (8,22,23) and chewing problems (24,25). These factors may lead elderly persons to have a monotonous and energy-restricted diet, which easily results in an inadequate intake of nutrients. Our findings suggest that the older population may be at high risk of malnutrition, and that it is important to assess capacities related to eating behavior to prevent nutritional problems in older persons. Thus, adequate family or social supports to purchase, prepare and cook food may help to maintain a varied and balanced diet (23,26).

It is important to point out that there are substantial differences between Italian and American recommendations for adequate intake of specific nutrients. In particular, the adequate intakes for vitamin E and folate (15 mg/d and 400 µg/d, respectively) according to U.S. recommendations are twice as high as the Italian LARN (8 mg/d and 200 µg/d, respectively). By using the U.S. guidelines, most of the InCHIANTI participants would have been defined as having an inadequate intake of both vitamin E and folate (90–100%). In Italy, the recommended levels of vitamin E were estimated using a tocopherol equivalent-PUFA ratio of 0.4. Because the InCHIANTI study population reported low PUFA consumption, the tocopherol equivalent-PUFA ratio was quite high (from a mean of 1.36 in older women to 2.29 in the youngest men), leading to a lower requirement for vitamin E. Under these circumstances, we used the lower bound of the adequate intake as the reference (4 mg/d in men and 3 mg/d in women).

A critical issue that must be addressed is that in the current version of LARN, all women > 50 y old and men > 60 y old are grouped in the same "geriatric" category. In the most recent editions of the U.S. Recommended Dietary Allowances, subjects > 50 y old are further subdivided (50–70 y and >70 y) in both sexes, but the recommended intakes do not vary, except for vitamin D (27).

Despite an evident decrease in energy intakes, vitamin and mineral needs seem to remain stable, suggesting that an increase in nutrient density in the older population would be required, a result quite difficult to achieve. With the aging of the Western world populations, an extremely important question to be addressed is whether nutrient requirements remain constant with age or do indeed differ for old and very old subjects.

Because there are few epidemiologic studies of sufficient size that have assessed nutrition in the elderly population, adequate information is not available to support specific recommendations on nutrient intakes in subgroups of older persons. It seems unlikely that nutritional requirements extrapolated from younger "healthy" populations can be applied directly to the elderly.

An important limitation related to the cross-sectional nature of the present study should be taken into account in interpreting data on dietary intake across the age spectrum. Our data appear to suggest that intakes of energy and nutrients decline with aging; however, we cannot rule out the existence of a cohort effect. Thus, our results must be investigated further in longitudinal studies.

In conclusion, our investigation confirms findings of previous studies (28,29) by indicating that total energy intake as well as intakes of macro- and selected micronutrients tend to be lower in the older age groups, in both sexes. Similarly, the percentage of persons with a low intake of nutrients compared with recommended levels was higher in older age groups. Older people chose different foods, suggesting that older persons tend to adapt their diet to the functional difficulties that often occur during the aging process. In fact, we found that having three or more eating-related difficulties was a significant predictor of inadequate intake of energy and most of the selected nutrients. After adjustment for energy, the relationship with vitamin C remained significant. This result suggests that older persons who have nutrition-related difficulties tend to consume a monotonous diet, reducing the consumption of fresh food, such as fruit and vegetables. Dieticians could improve diets in the elderly by suggesting meals that satisfy their altered food attitudes, including foods that are easy to purchase, prepare and chew, thus ensuring adequate intake of all macro- and micronutrients. Finally, more attention to functional problems in the growing elderly population and provision of formal or informal help for those who have difficulty in purchasing, processing and eating food may reduce, at least in part, the percentage of older persons with poor nutrition.


    ACKNOWLEDGMENTS
 
The authors thank the InCHIANTI study participants for their availability and enthusiasm. The EPIC-Italy food frequency questionnaire was developed within the framework of a co-operative project supported by the Italian Association for Cancer Research (AIRC). We are grateful to Vittorio Krogh (National Cancer Institute, Milan, Italy) for help in processing and developing the InCHIANTI nutritional database. Finally, special thanks to Edward A. Frongillo (Cornell University, Ithaca, NY) for thoughtful and interesting comments on earlier drafts of this manuscript.


    FOOTNOTES
 
1 The InCHIANTI study was supported as a "targeted project" (ICS 110.1®S97.71) by the Italian Ministry of Health and in part by the U.S. National Institute on Aging (Contracts 263_MD_9164_13 and 263_MD_821336). Back

3 Abbreviations used: EPIC, European Prospective Investigation into Cancer and nutrition; LARN, Recommended Nutrients Levels; MMSE, Mini Mental State Examination. Back

Manuscript received 28 March 2003. Initial review completed 2 May 2003. Revision accepted 17 June 2003.


    LITERATURE CITED
 TOP
 ABSTRACT
 SUBJECTS AND METHODS
 RESULTS
 DISCUSSION
 LITERATURE CITED
 

1. Fortes, C., Forastiere, F., Farchi, S., Rapiti, E., Pastori, G. & Perucci, C. A. (2000) Diet and overall survival in a cohort of very elderly people. Epidemiology 11:440-445.[Medline]

2. Amarantos, E., Martinez, A. & Dwyer, J. (2001) Nutrition and quality of life in older adults. J. Gerontol. A. Biol. Sci. Med. Sci. 56:54-64.[Abstract/Free Full Text]

3. Michels, K. B. & Wolk, A. (2002) A prospective study of variety of healthy foods and mortality in women. Int. J. Epidemiol. 31:847-854.[Abstract/Free Full Text]

4. Drewnowski, A. & Warren-Mears, V. A. (2001) Does aging change nutrition requirements?. J. Nutr. Health Aging 5:70-74.[Medline]

5. Campbell, W. W., Trappe, T. A., Wolfe, R. R. & Evans, W. J. (2001) The recommended dietary allowance for protein may not be adequate for older people to maintain skeletal muscle. J. Gerontol. 56:M373-M380.

6. Trichopoulou, A. & Vasilopoulou, E. (2000) Mediterranean diet and longevity. Br. J. Nutr. 84(suppl. 2):S205-S209.

7. Inelmen, E. M., Gimenez, G. F., Gatto, M. R., Miotto, F., Sergi, G., Marccari, T., Gonzalez, A. M., Maggi, S., Peruzza, S., Pisent, C. & Enzi, G. (2000) Dietary intake and nutritional status in Italian elderly subjects. J. Nutr. Health Aging 4:91-101.[Medline]

8. Bianchetti, A., Rozzini, R., Carabellese, C., Zanetti, O. & Trabucchi, M. (1990) Nutritional intake, socioeconomic conditions, and health status in a large elderly population. J. Am. Geriatr. Soc. 38:521-526.[Medline]

9. Krogh, V., Freudenheim, J. L., D’Amicis, A., Scaccini, C., Sette, S., Ferro-Luzzi, A. & Trevisan, M. (1993) Food sources of nutrients of the diet of elderly Italians: II. Micronutrients. Int. J. Epidemiol. 22:869-877.

10. Freudenheim, J. L., Krogh, V., D’Amicis, A., Scaccini, C., Sette, S., Ferro-Luzzi, A. & Trevisan, M. (1993) Food sources of nutrients in the diet of elderly Italians: I. Macronutrients and lipids. Int. J. Epidemiol. 22:855-868.[Abstract/Free Full Text]

11. Turrini, A., Saba, A., Perrone, D., Cialfa, E. & D’Amicis, A. (2001) Food consumption patterns in Italy: the INN-CA Study 1994–1996. Eur. J. Clin. Nutr. 55:571-588.[Medline]

12. Ferrucci, L., Bandinelli, S., Benvenuti, E., Di Iorio, A., Macchi, C., Harris, T. B. & Guralnik, J. M. (2000) Subsystems contributing to the decline in ability to walk: bridging the gap between epidemiology and geriatric practice in the InCHIANTI study. J. Am. Geriatr. Soc. 48:1618-1625.[Medline]

13. Folstein, M. F., Folstein, S. E. & McHugh, P. R. (1975) "Mini-mental state." A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12:189-198.[Medline]

14. Katz, S. & Akpom, C. A. (1976) A measure of primary sociobiological function. Int. J. Health Serv. 6:493-507.[Medline]

15. Lawton, M. P. & Brody, E. M. (1969) Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9:179-186.[Medline]

16. Pisani, P., Faggiano, F., Krogh, V., Palli, D., Vineis, P. & Berrino, F. (1997) Relative validity and reproducibility of a food frequency dietary questionnaire for use in the Italian EPIC centres. Int. J. Epidemiol. 26(suppl. 1):S152-S160.[Abstract/Free Full Text]

17. Palli, D., Vineis, P., Russo, A., Berrino, F., Krogh, V., Masala, G., Munnia, A., Panico, S., Taioli, E., Tumino, R., Garte, S. & Peluso, M. (2000) Diet, metabolic polymorphisms and DNA adducts: the EPIC-Italy cross-sectional study. Int. J. Cancer 87:444-451.[Medline]

18. Riboli, E., Hunt, K. J., Slimani, N., Ferrari, P., Norat, T., Fahey, M., Charrondière, U. R., Hémon, B., Casagrande, C., Vignat, J., Overvad, K., Tjønneland, A., Clavel, F., Wahrendorf, J., Boeing, H., Trichopoulos, D., Trichopoulou, A., Vineis, P., Palli, D., Bueno-de-Mesquita, H. B., Peeters, PHM, Lund, E., Engeset, D, González, CA, Barricarte, A., Berglund, G., Hallmans, G., Day, NE, Key, TJA, Kaaks, R. & Saracci, R. (2002) European Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5:1125-1146.[Medline]

19. Salvini, S., Parpinel, M., Gnagnarella, P., Maisonnneuve, P. & Turrini, A. (1998) Banca Dati di Composizione degli Alimenti per Studi Epidemiologici in Italia 1998 Istituto Europeo di Oncologia Milan, Italy.

20. Società Italiana di Nutrizione Umana (1996) Livelli di Assunzione Raccomandati di Energia e Nutrienti per la Popolazione Italiana (LARN) 1996 S.I.N.U. Milan, Italy.

21. SAS Institute Inc (2000) SAS Procedure Guide, Version 8.1 2000 SAS Institute Cary, NC.

22. Roberts, S. B. (2000) Regulation of energy intake in relation to metabolic state and nutritional status. Eur. J. Clin. Nutr. 54(suppl. 3):S64-S69.

23. Lee, J. S. & Frongillo, E. A., Jr (2001) Factors associated with food insecurity among U.S. elderly persons: importance of functional impairments. J. Nutr. 131:1503-1509.[Abstract/Free Full Text]

24. Sheiham, A. & Steele, J. (2001) Does the condition of the mouth and teeth affect the ability to eat certain foods, nutrient and dietary intake and nutritional status amongst older people?. Public Health Nutr 4:797-803.[Medline]

25. Mowe, M., Bohmer, T. & Kindt, E. (1994) Reduced nutritional status in an elderly population (> 70 y) is probable before disease and possibly contributes to the development of disease. Am. J. Clin. Nutr. 59:317-324.[Abstract/Free Full Text]

26. Westeregren, A., Karlsson, S., Andersson, P., Ohlsson, O. & Hallberg, I. R. (2001) Eating difficulties, need for assisted eating, nutritional status and pressure ulcers in patients admitted for stroke rehabilitation. J. Clin. Nurs. 10:257-269.[Medline]

27. http://www.fiu.edu/~nutreldr/Resources/Resources/DRIs/DRI_Table_%20One_A.pdf.

28. Wakimoto, P. & Block, G. (2001) Dietary intake, dietary patterns, and changes with age: an epidemiological perspective. J. Gerontol. 56:65-80.

29. Moreiras, O., van Staveren, W. A., Amorim Cruz, J. A., Carbajal, A., de Henauw, S., Grunenberger, F. & Roszkowski, W. (1996) Longitudinal changes in the intake of energy and macronutrients of elderly Europeans. SENECA Investigators. Eur. J. Clin. Nutr. 50(suppl. 2):S67-S76.




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