Mini nutritional assessment test long and short form are valid screening tools in Turkish older adults.

BACKGROUND: Malnutrition is a pitfall in older adults despite its high prevalence and serious consequences. There are various screening tests however, none of them have been validated for our country. In this study, we aimed to test the hypothesis that MNA (long form of MNA) and MNA-SF (short form of MNA) are applicable to screen malnutrition in Turkish geriatric patients. MATERIALS AND METHODS: Two hundred and thirty-six patients aged 65 years and over who were admitted to our geriatric medicine outpatient clinic were enrolled in the study. Four groups of data (anthropometric measurements, biochemical markers, three-day diet record and geriatric assessment scales) were recorded. Long and short forms of MNA test were performed. Two different geriatricians interpreted the patients' nutritional status with the aid of aforementioned data. Patients were divided into three groups which were patients with malnutrition, with malnutrition risk and well-nourished. Concordance between the two geriatricians' clinical assessment was analyzed by kappa statistics. Excellent concordance was found, therefore the first specialist's decisions were accepted as gold-standard. A third physician performed the long and short forms of MNA test. The concordance between the first clinician's assessment and MNA test results were compared subsequently. RESULTS: MNA and MNA-SF results were compared with first clinician's decision of malnutrition and kappa coefficients were 0.68 and 0.66, respectively. Sensitivity analysis indicated that MNA was 92% sensitive and 86% specific, whereas MNA-SF was 94% sensitive and 81% specific. CONCLUSION: MNA and MNA-SF are suitable for malnutrition screening in Turkish older adults.

Like/dislike analysis using EEG: determination of most discriminative channels and frequencies.

In this study, we have analyzed electroencephalography (EEG) signals to investigate the following issues, (i) which frequencies and EEG channels could be relatively better indicators of preference (like or dislike decisions) of consumer products, (ii) timing characteristic of "like" decisions during such mental processes. For this purpose, we have obtained multichannel EEG recordings from 15 subjects, during total of 16 epochs of 10 s long, while they were presented with some shoe photographs. When they liked a specific shoe, they pressed on a button and marked the time of this activity and the particular epoch was labeled as a LIKE case. No button press meant that the subject did not like the particular shoe that was displayed and corresponding epoch designated as a DISLIKE case. After preprocessing, power spectral density (PSD) of EEG data was estimated at different frequencies (4, 5, …, 40 Hz) using the Burg method, for each epoch corresponding to one shoe presentation. Each subject's data consisted of normalized PSD values (NPVs) from all LIKE and DISLIKE cases/epochs coming from all 19 EEG channels. In order to determine the most discriminative frequencies and channels, we have utilized logistic regression, where LIKE/DISLIKE status was used as a categorical (binary) response variable and corresponding NPVs were the continuously valued input variables or predictors. We observed that when all the NPVs (total of 37) are used as predictors, the regression problem was becoming ill-posed due to large number of predictors (compared to the number of samples) and high correlation among predictors. To circumvent this issue, we have divided the frequency band into low frequency (LF) 4-19 Hz and high frequency (HF) 20-40 Hz bands and analyzed the influence of the NPV in these bands separately. Then, using the p-values that indicate how significantly estimated predictor weights are different than zero, we have determined the NPVs and channels that are more influential in determining the outcome, i.e., like/dislike decision. In the LF band, 4 and 5 Hz were found to be the most discriminative frequencies (MDFs). In the HF band, none of the frequencies seemed offer significant information. When both male and female data was used, in the LF band, a frontal channel on the left (F7-A1) and a temporal channel on the right (T6-A2) were found to be the most discriminative channels (MDCs). In the HF band, MDCs were central (Cz-A1) and occipital on the left (O1-A1) channels. The results of like timings suggest that male and female behavior for this set of stimulant images were similar.

Comprehensive assessment of malnutrition risk and related factors in a large group of community-dwelling older adults.

BACKGROUND & AIMS: Older adults are poorly assessed for malnutrition risk although malnutrition is not an uncommon problem in this population. The aim of this study was to determine the malnutrition risk and its correlates in geriatric outpatients. METHOD: The study was performed in 2327 patients > or =65 years old who were admitted to our Geriatric Medicine outpatient clinic. Together with comprehensive geriatric assessment, nutritional assessment with short version of mini nutritional assessment test (MNA-SF) was performed. MNA-SF score < or =11 was determined as malnutrition risk. RESULTS: Mean age of patients was 72.14+/-6.11 and 1479 (63.6%) were female. Mean MNA-SF score was 12.31+/-2.18. The number of patients with MNA-SF score < or =11 was 651 (28%). Depression, haematocrit, plasma fasting glucose, albumin, erythrocyte sedimentation rate, instrumental activities of daily living scores and bone mineral density measured from total femur were found to be significantly associated with malnutrition risk. CONCLUSION: In this study malnutrition risk was detected in 651 (28%) patients. This ratio was similar to the literature. In older adults malnutrition risk is found to be increased due to majority of chronic illnesses and physical dependency. In conclusion, nutritional assessment should be a part of comprehensive geriatric assessment.