Elderly people have an increased risk of nutrient and energy deficiencies (i.e. undernutrition) compared with middle-aged adults(Reference Chen, Schilling and Lyder1). One of the main reasons is that ageing is often accompanied by a variety of physiological and psychological impairments, as well as by economic and social changes that may adversely affect nutritional status(Reference Drewnowski and Warren-Mears2). On one hand, physiological and pathological disturbances can bring changes in dietary habits and nutrient metabolism(Reference Brownie3). On the other hand, social isolation and economic constraints often influence the preparation and consumption of food(Reference Coelho, Rocha and Fausto4). This situation is commonly aggravated by associated diseases and pharmacological treatments, which is a frequent situation in the aged person(Reference Pirlich and Lochs5, Reference Martinez, Velasco and Urbistondo6).
Poor nutritional status in older people is related to increased demands on health services, lengthier hospital stays and is recognized as an important predictor of morbidity and mortality(Reference Seiler7); thus it represents a significant public health burden, as well as one that should concern all health professionals involved in individual or group contacts with the elderly(Reference Brownie3). An adequate evaluation of elderly people’s nutritional status and the associated factors (socio-economic, cultural, physiological, pathological, etc.) that can adversely affect nutritional outcomes should accompany a reduction of undernutrition prevalence. As a consequence, quality of life would be improved, the number of hospitalized and institutionalized aged persons would be reduced, and the public expense to cover health and social demands from this population group would also be decreased(Reference Casimiro, Garcia de Lorenzo and Usan8).
It is estimated that the rate of people aged ≥65 years in EU-25 will increase from its current level of 16 % to around 30 % of the total population by 2050(9, 10). Indeed, the growing number of elderly individuals all around the world is linked to high costs of treatments that could be reduced dramatically by appropriate, nutrition-oriented care.
In this context, more than seventy tests or tools have been reported that are currently available for undernutrition detection but they differ in their criteria, cut-off points, ease of use and acceptability(Reference Green and Watson11). Among these methods, the Mini Nutritional Assessment (MNA) has been revealed as probably the best screening tool to detect malnourished elders and those at risk for malnutrition. Thus, 15 years after it was published, the MNA, which was especially developed for elderly people, remains the gold standard for ambulatory living elders(Reference Sieber12). Moreover, it appears to be the most suitable and reliable tool for the detection of undernutrition in any way of living(Reference Guigoz, Lauque and Vellas13) and provides the health professional a unique opportunity to design specific plans for nutritional treatment. Since its validation in 1994, the MNA has been used in a number of studies and translated into more than twenty languages(Reference Vellas, Villars and Abellan14). Nowadays, it is recognized as a well-validated tool, with high sensitivity, specificity and reliability(Reference Guigoz and Vellas15).
The aim of the present study was to assess the prevalence of undernutrition in the elderly population in Spain, applying the MNA test in a large population sample (n 22 007) and analysing the impact of age, gender and residence region. The suitability of the short form of the MNA test for these purposes was also evaluated.
Subjects and methods
Subject recruitment
The present cross-sectional study was conducted during November and December 2005 all over Spain. The study population included elders (n 22 007) from all regions in Spain, with age (65 years or older) being the only criterion for inclusion. Volunteers were recruited by community pharmacists who had contact with community-dwelling elders. All the participants were specifically asked if they would be willing to take part in the study. Only those who accepted were enrolled.
Health professionals (3251 community pharmacists) were recruited through the Spanish Pharmacists Council to collect data. All of them received a training session and an extensive document with the information needed about the survey, the correct way to formulate every question and a decision tree to interpret the result of the survey in each case(16). This type of training session for health professionals usually has a positive impact on the results of the MNA test(Reference Suominen, Kivisto and Pitkala17). Furthermore, a video conference explaining the study was broadcast to every provincial pharmacist college, and a website was available for all pharmacists involved in the study to ensure harmonization among interviewers.
Data collection
Data were collected by using the MNA test, encoded for further optical reading (SCANMARK ES2800™ Optical Mark Reader; Scantron Corporation, Tustin, CA, USA) with an optical model reading (OMR) programme (JBLEE, Madrid, Spain). About 50 000 encoded questionnaires were printed with a magnetic band. The questionnaires were sent to each provincial pharmacist college, depending on the number of interested community pharmacists.
In addition to specific MNA questions, other information was requested: postal code (to identify the region), age, gender, weight and height, and place where the interview took place. A total of 26 484 filled questionnaires were received and, after careful clean-up to discard subjects under 65 years old, non-valid or illegible data (among other causes), the final complete sample reached 22 007.
Mini nutritional assessment
The MNA test (Table 1) can be divided into two distinct parts: the short form (screening questionnaire) and the full version(Reference Rubenstein, Harker, Salva, Guigoz and Vellas18, Reference Vellas, Guigoz, Garry, Nourhashemi, Bennahum, Lauque and Albarede19). The MNA short form consists of six questions concerning recent appetite and weight loss, mobility, acute disease or psychological stress, neuropsychological problems and BMI. A total score of 12 and above (maximum is 14) indicates satisfactory nutritional status, so there is no need to follow with the second part of the MNA. A screening score of 11 and below suggests possible undernutrition status and it is necessary to complete the full version of the MNA. This second part has twelve additional questions with a maximum possible score of 16 points. The MNA total score (maximum is 30) distinguishes between elders with adequate nutritional status (score ≥24), risk of undernutrition (score ≥17 to ≤23·5) and undernutrition (score <17). The full MNA was done for all subjects.
Table 1 Questions of the Mini Nutritional Assessment (MNA): short form (screening) and the full version(Reference Rubenstein, Harker, Salva, Guigoz and Vellas18, Reference Vellas, Guigoz, Garry, Nourhashemi, Bennahum, Lauque and Albarede19), and frequency distribution (in parentheses) concerning the eighteen MNA questions in a community-dwelling elderly Spanish population (n = 22 007)
BMI was calculated as weight (kg) divided by the square of height (m). Weight was measured to the nearest kilogram and height to the nearest centimetre. For all individuals aged 18 years or older, the WHO(20) and some national health agencies(Reference Borecki, Higgins, Schreiner, Arnett, Mayer-Davis, Hunt and Province21, Reference Douketis, Paradis, Keller and Martineau22) recommend that overweight be defined as BMI = 25·0–29·9 kg/m2 and obesity as BMI≥30·0 kg/m2, although it is clear that BMI in the overweight range is not associated with a significantly increased risk of mortality in the elderly(Reference Janssen and Mark23).
For analysis of the regional prevalence of undernutrition in the Spanish elderly population, the ACNielsen areas were selected (www.acnielsen.es). These areas have been established taking into account socio-economic criteria and consumption patterns to obtain nine geographical areas in Spain.
Statistical analysis
Statistical analyses were performed with the SPSS for Windows XP statistical software package version 13·0 (SPSS Inc., Chicago, IL, USA) following criteria described elsewhere(24). Means and standard deviations were used as descriptive statistics. Student’s t tests were performed to compare means for age, weight, height and BMI between men and women and Mann–Whitney U tests were used to compare different scores in the short and full MNA test between both genders. Assuming the full MNA test as the gold standard, the correlation between the short form and the full version of the MNA test was analysed by Spearman’s test for correlations. Stepwise linear multiple regression analyses were used to identify the questions in the MNA which best predicted the MNA short and total scores. In addition, the sensitivity, specificity and predictive values were calculated to assess the association between the two MNA scores (short form and full version) regarding classification of undernutrition and undernutrition risk. The area under the receiver-operating characteristic (ROC) curve was used to assess the ability of the short form to predict values of the full MNA. Finally, ANOVA and a post hoc Tukey b test were performed to compare the MNA score distribution among different Spanish regions.
Results
Table 2 shows the description of the studied population. A total of 22 007 elderly individuals were distributed as 13 993 women (63·6 %) and 8014 men (36·4 %), with mean age of 75·2 years at evaluation. Their mean weight was 70·7 kg (76·4 kg in men and 67·4 kg in women) and their mean height was 159 cm (166 cm in men and 155 cm in women), resulting in a mean body mass index of 28·0 kg/m2 (27·7 kg/m2 in men and 28·1 kg/m2 in women). As expected, there were significant differences (P < 0·001) between men and women in the anthropometric measurements.
Table 2 Descriptive characteristics of the elderly Spanish population (n 22 007) participating in the present survey
MNA, Mini Nutritional Assessment.
Mean values were significantly different from those of women: *P < 0·001 (Student’s t test), **P < 0·001 (Mann–Whitney U test).
The mean MNA score obtained in the two steps (short and full) for men (12·4 and 25·4 points) and women (11·9 and 24·6 points) showed statistically significant differences between genders (P < 0·001), with an average of 12·1 points in the short form and 24·9 points in the full version when the overall sample was considered (Table 2).
A Spearman correlation test gave a high association value between the short and the full MNA tests (r = 0·85; P < 0·001). A comparison between the number of subjects who were classified as possibly undernourished according to the MNA short form and the number so classified according to the full version is shown in Fig. 1. According to the total MNA score about 4·3 % (n 953) of the population studied was undernourished, 25·4 % (n 5579) was at risk for being undernourished and 70·3 % (n 15 475) had no undernutrition risk. The frequency distribution of the responses to every question of the MNA is reported in Table 1.
Fig. 1 Decision tree to assist in determining some calculations (MNA, Mini Nutritional Assessment)
As Fig. 1 shows, 7282 individuals presented a situation of possible undernutrition using the MNA short form which indicated the necessity to complete the full MNA. From those 7282 elders, 951 were classified as undernourished, 4614 were at undernutrition risk and the rest were in a situation of no undernutrition risk with the full MNA. From the 14 725 individuals who were in a no undernutrition risk situation using the MNA short form, two cases revealed undernutrition, 965 were at undernutrition risk and 13 758 showed no undernutrition risk with the full MNA. So, the sensitivity of the MNA short form with respect to the full MNA (used as the gold standard), i.e. the proportion of ‘undernourished’ or ‘at risk’ individuals classified as possible undernutrition by the MNA short form who were correctly identified as such by the MNA full version, was 85·2 % (=5565/6532). The specificity of the MNA short form, i.e. the proportion of ‘well nourished’ individuals classified by the MNA short form who were correctly identified as such by the MNA full version, was 88·9 % (=13 758/15 475). The positive predictive value, i.e. the proportion of subjects classified by the MNA short form as being in a situation of possible undernutrition who were correctly identified as such by the MNA full version, was 76·4 % (=5565/7282). Finally, the negative predictive value, defined as the proportion of subjects classified by the MNA short form as being ‘well nourished’ who were correctly identified as such by the MNA full version, was 93·4 % (=13 758/14 725). The ROC curve was also plotted (Fig. 2) showing an area under the curve of 0·942.
Fig. 2 Receiver-operating characteristic curve for the studied sample (n 22 007) applying the Mini Nutritional Assessment (MNA) short form as compared with the full MNA. Area under the curve is 0·942
Stepwise linear multiple regression analyses were used to identify those questions in the MNA that best predicted the total score, not only for the whole sample but also separately for men and women. The importance, in the whole population and for men and women separately, of the questions included in MNA is reported in decreasing order of statistical contribution in Table 3.
Table 3 Proportion of total variability in the MNA score (R 2) explained by individual MNA questions (n 22 007)
MNA, Mini Nutritional Assessment.
The evolution of BMI and total MNA score with age in both genders is presented in Fig. 3a and 3b, respectively. Age was represented in ten categories (from 65–66 years to ≥85 years). Increasing age was associated with decreasing total MNA score for all participants, men and women. However, BMI showed a decrease from 71–72 years old for men and from 75–76 years old for women. There were significant differences between the genders in every age category for MNA total score, but not in every age category for BMI. The average total MNA score was higher in men than in women in all age groups (P < 0·05). Attending to BMI criteria(Reference Margetts25) the obesity distribution in both genders was also analysed, showing that 25·5 % of men and 33·0 % of women presented BMI≥30·0 kg/m2. However, a total of eighty-eight obese subjects presented MNA score of <17 points, of whom sixteen were men and seventy-two were women.
Fig. 3 Change of (a) BMI and (b) Mini Nutritional Assessment (MNA) total score with age for men (—⧫—) and women (—▪—). Mean values were significantly different from those of women: *P < 0·05, **P < 0·001
Finally, Fig. 4 shows the MNA full score according to the nine Spanish regions defined by ACNielsen. ANOVA revealed that there were statistical differences among all Spanish regions (P < 0·001). Scores higher than 25·0 points were found in the metropolitan area of Madrid, middle-north and north-east areas, while scores lower than 24·6 points were obtained in the south area, Canary Islands and north-west regions. Intermediate values ranging from 24·84 to 24·97 points were obtained in the middle-east and centre regions and in the metropolitan area of Barcelona.
Fig. 4 Distribution of Mini Nutritional Assessment total score in Spain among ACNielsen regions. Values are means and their standard deviations. a,b,c,d,e,fMean values with unlike superscript letters were significantly different (P < 0·05)
Discussion
The most commonly used assessment tools to detect undernutrition in the elderly are the Malnutrition Universal Screening Tool (MUST), Subjective Global Assessment (SGA), Nutritional Risk Screening (NRS 2002) and MNA. After many comparative studies among all of them, the MNA remains the gold standard for free-living elderly persons(Reference Sieber12), being used in a range of settings(Reference Vellas, Villars and Abellan14).
The prevalence of malnutrition in European and American populations due to one or more nutritional deficiencies ranges from 1 to 15 % in ambulatory living elders, from 25 to 60 % in institutionalized elders and from 35 to 65 % in hospitalized patients(Reference Brownie3, Reference Raynaud-Simon and Lesourd26–Reference Elia, Zellipour and Stratton28). In Spain, this test has also been used in some surveys to detect the prevalence of undernutrition, but most of them were carried out in hospitalized or institutionalized elderly(Reference Villalobos Gamez, Garcia-Almeida, Guzman de Damas, Rioja Vazquez, Osorio Fernandez, Rodriguez-Garcia, del Río Mata, Ortiz García and Gutiérrez Bedmar29–Reference Wanden-Berghe, Sanz-Valero, Jimenez and Hernandez31). The few surveys that have been conducted among free-living elderly were done in just one geographical region and with a maximum population of 360(Reference Tur, Colomer, Monino, Bonnin, Llompart and Pons32, Reference Morillas, Garcia-Talavera, Martin-Pozuelo, Reina and Zafrilla33). The present study analysed the situation of elderly persons in the whole country, evaluating a total of 22 007 people. The results obtained showed that 4·3 % of the community-dwelling elderly Spanish population is affected by undernutrition and 25·4 % presents a risk of undernutrition. These values were higher in women (4·8 % of undernutrition and 28·0 % at risk) than in men (3·4 % of undernutrition and 20·8 % at risk).
These findings are in accordance with data reported in a smaller group in Palma de Mallorca, Spain by Tur et al.(Reference Tur, Colomer, Monino, Bonnin, Llompart and Pons32), which revealed that 1 % of male and 5 % of female free-living elders were undernourished. Furthermore, Morillas et al.(Reference Morillas, Garcia-Talavera, Martin-Pozuelo, Reina and Zafrilla33) found similar results in Murcia, another region in the south of the country. This survey evidenced that 17 % of the studied elderly people had a likely risk for undernutrition, with 3 % of undernourished aged persons. Other studies found similar results in Europe, with sample size ranging from 351 to 10 000, using the same screening tool(Reference Guigoz, Lauque and Vellas13, Reference Kucukerdonmez, Koksal, Rakicioglu and Pekcan34, Reference Salminen, Saaf, Johansson, Ringertz and Strender35).
The stepwise multiple regression analysis highlighted the questions in the MNA which were the most predictive to the total score. The questions concerning food intake decline, weight loss and self-perceived nutritional and health status were identified as the most important factors, followed by neuropsychological problems, psychological stress, ability to eat, mobility, mid upper-arm circumference and BMI. Within these ten questions are the six that make up the short form of the screening tool, which was chosen not only by its good correlation with total score, but also by avoiding items that were redundant, required special training to administer, involved difficult subjective recall, or produced too many missing or ‘don’t know’ answers(Reference Rubenstein, Harker, Salva, Guigoz and Vellas18). Skin problems, fluid consumption, protein intake and fruits or vegetables intake showed the weakest correlations with the total MNA score. Earlier findings reported similar results, with these items among the questions with the lower correlations(Reference Rubenstein, Harker, Salva, Guigoz and Vellas18, Reference Soini, Routasalo and Lagstrom36, Reference Christensson, Unosson and Ek37).
The regression analyses done separately for men and women showed some slight differences between them concerning the statistical contribution of items to the model: mid upper-arm circumference, BMI, independence, number of meals and protein intake had more influence on MNA total score for women than for men. In contrast, mobility and prescription drugs showed more influence on MNA score for men than for women. These differences could explain, at least in part, some of the differences in nutritional status between men and women.
The MNA short form was strongly correlated with the total MNA score (r = 0·85), although this value was lower than the one obtained in the development of the short MNA form using the same cut-off point of ≥11 as normal nutrition (r = 0·94)(Reference Rubenstein, Harker, Salva, Guigoz and Vellas18).
Grouping the final MNA categories ‘undernutrition’ and ‘undernutrition risk’ against ‘no undernutrition risk’ to study the association of grades with the MNA short form, we obtained a sensitivity of 85·2 %, a specificity of 88·9 %, a positive predictive value of 76·4 % and a negative predictive value of 93·4 % for predicting undernutrition risk. Taking into account that all of these results are high, it can be suggested that the MNA short form is a good option to screen large aged populations in Spain, in order to examine in more detail only those individuals with possible undernutrition identified using the MNA short form. Moreover, ROC curve analysis showed that the MNA short form had ‘good to excellent’ agreement (κ = 0·717) beyond chance with the MNA full version to rule out undernutrition risk (P < 0·001). A potential limitation of the present survey is that the sample might be not fully representative, but in support of the validity of the study it was carried out in a high number of volunteers. Furthermore, the distribution according to ACNielsen regions and the outcome and data obtained are in agreement with other studies carried out with lower numbers of participants(Reference Tur, Colomer, Monino, Bonnin, Llompart and Pons32, Reference Morillas, Garcia-Talavera, Martin-Pozuelo, Reina and Zafrilla33, Reference Gutierrez-Fisac, Lopez, Banegas, Graciani and Rodriguez-Artalejo38).
The data concerning the estimation of BMI (kg/m2) evidenced that 43·0 % of the studied sample was overweight and 30·2 % was obese, which suggests that not only undernutrition is important in the elderly population. Overweight rates in men and women were similar to the prevalence reported by Gutierrez-Fisac et al.(Reference Gutierrez-Fisac, Lopez, Banegas, Graciani and Rodriguez-Artalejo38), although obesity prevalence found in the present survey was lower than that found by those researchers (36·7 %). These different obesity rates can be explained by the fact that our survey involved people aged ≥65 years old while Gutierrez-Fisac et al.(Reference Gutierrez-Fisac, Lopez, Banegas, Graciani and Rodriguez-Artalejo38) enrolled participants aged ≥60 years, a stage of life with higher obesity prevalence than in other more advanced ages(Reference Perissinotto, Pisent, Sergi and Grigoletto39–Reference Santos, Albala, Lera, Garcia, Arroyo, Perez-Bravo, Angel and Peláez41). The present study also confirms that women presented higher BMI values than men in contrast with the fact that women presented more undernutrition prevalence too, measured by the MNA test, with statistically significant differences at all ages. Therefore, there were more men in the normal weight interval than women, who had higher presence in extreme nutritional situations. These data can be explained by the fact that 9·2 % of the undernourished elderly, according to MNA criteria, presented BMI≥30·0 kg/m2, finding this situation more frequently in women (82 %) than in men (18 %).
Moreover, there were significant decreases in MNA score with age in both men and women, as expected(Reference Saletti, Lindgren, Johansson and Cederholm42, Reference Suominen, Muurinen, Routasalo, Soini, Suur-Uski, Peiponen, Finne-Soveri and Pitkala43).
Finally, according to the total MNA score distribution across Spain, it can be mentioned that there were two areas in the north-east of the country, together with the metropolitan area of Madrid, which were in a better nutritional situation than the other Spanish regions. These areas include the six autonomous regions with the highest economic indicators(44). Other recent studies among English people aged 65 years and older showed higher undernutrition risk in the northern regions than in southern ones(Reference Pentieva, Bates, Prentice and Cole45, Reference Elia and Stratton46). Our survey suggests that, with the exception of the north-west, the north of Spain presents lower undernutrition risk rates than the middle-south part of the country.
Conclusions
The present study indicated that undernutrition prevalence among the community-dwelling elderly population in Spain is 4·3 % and the prevalence of people at undernutrition risk is 25·4 %, using the MNA test in two steps which showed a ‘good to excellent’ agreement between one another. Food intake decline and weight loss during the last three months were the items that correlated better with the total MNA score.
The results suggested that undernutrition increases with age and is higher in women than in men. On the other hand, women showed higher obesity prevalence while men had more individuals in the healthy weight range. Moreover, it appeared that elderly persons living in the north half of the country present less risk of undernutrition than those living in the south, except for the north-west area.
Acknowledgements
The authors declare that there are no conflicts of interest.
Sources of funding: The study was funded by the Spanish Pharmacists Council.
Author contributions: M.C. – first draft elaboration, training sessions, follow-up, reading of electronic questionnaires, data processing and analysis; A.G. – recruitment of pharmacists and coordination of data collection; D.A. – data processing, analysis and writing; A.S.-V. – statistical assessment; M.A.M.-G. – design and statistical assessment; I.A. – design, general coordination; J.A.M. – project leader, design, general coordination and supervision.
Acknowledgements: We are deeply indebted to every community pharmacist who participated in the survey for attending the training sessions and collecting the data, and to those pharmacists from each provincial pharmaceutical college and from the Spanish Pharmacists Council who coordinated all tasks. We also thank Ms Carmen de la Fuente and the other members of the SUN Study Group for their assistance in data processing.
