Lower lean mass and higher percent fat mass in patients with Alzheimer's disease.

In this study we analyzed body composition in relation to cognitive and functional status, in a cross-sectional sample of patients with Alzheimer's disease (AD). Seventy individuals (27 men, 78.1±6.5years; 43 women, 80.4±5.6years) with mild-moderate stages of AD (clinical dementia ratings 1 and 2) were selected from the Alzheimer Center, SS. Trinità Hospital, ASL 8 of Cagliari (Italy). Cognitive and psycho-functional status was evaluated using mini-mental state examination (MMSE), activities of daily living (ADL) scale, and geriatric depression scale (GDS). Mini-nutritional assessment (MNA) was applied. Anthropometric measurements were taken and body mass index (BMI) was calculated. Body composition was assessed by means of specific bioelectrical impedance vector analysis (BIVA), using the references for the elderly. In comparison with the reference group, patients with AD showed similar BMI and MNA, but peculiar bioelectrical characteristics: lower phase angles and longer vectors (p<0.05). According to specific BIVA, this bioelectrical pattern is indicative of a reduction of lean tissue mass and an increase of percent fat mass (FM%). A more accentuated lean mass reduction (p < 0.05) was observed in women with worse cognitive status and a FM% increase (p < 0.01) in women with worse functional status. In conclusion, patients with AD had lower lean tissue mass and higher percent fat mass than healthy elderly individuals. In women, this pattern was associated with cognitive and functional decline, as indicated by MMSE and ADL values. Specific BIVA showed to be a suitable technique in the elderly, that could enhance BMI and MNA information in the evaluation of nutritional status.

Nutritional and psycho-functional status in elderly patients with Alzheimer's disease.

OBJECTIVES: Analysis of variations of nutritional status in relation to psycho-functional conditions in elderly patients with mild to moderate Alzheimer's disease (AD) by means of bioelectrical impedance vector analysis (BIVA). DESIGN: Cross-sectional study. SETTING: Alzheimer Center, SS. Trinità Hospital, Cagliari (Italy). PARTICIPANTS: 83 free-living patients (29 men, 54 women) with mild-moderate Alzheimer's disease, aged 66 to 96 years, and 91 age-matched controls (37 men and 54 women). MEASUREMENTS: Nutritional status was evaluated by anthropometry (weight, height, waist and upper arm circumferences, triceps skinfold; body mass index, BMI; arm muscle area, AMA); Mini Nutritional Assessment, MNA®; bioelectrical impedance vector analysis, BIVA. Psycho-functional status was assessed by the Mini Mental State Examination (MMSE), Geriatric Depression Scale (GDS), Activities of Daily Living (ADL), and Instrumental Activities of Daily Living (IADL). RESULTS: Compared to the control groups, patients with Alzheimer's disease had a worse psycho-functional and nutritional status. BIVA detected lower body cell mass in Alzheimer's patients with respect to controls (men: T²= 23.4; women: T²=27.3; p<0.01), as well as in the female patients with lower levels of IADL and MMSE (respectively, T²= 8.0; T²=7.4; p<0.05). In patients with AD, a worse psycho-functional status was associated with obesity. CONCLUSION: The psycho-functional decline of patients with AD is related to body composition variations, with a relative increase of fat mass with respect to the muscle component. The BIVA technique distinguished patients from controls and patients with different levels of cognitive decline. Therefore, it is a suitable tool for the screening and monitoring of nutritional status in Alzheimer's disease.

Bioelectrical impedance vector analysis detects low body cell mass and dehydration in patients with Alzheimer's disease.

OBJECTIVES: This paper evaluates the nutritional status in patients with mild-moderate and severe Alzheimer's disease (AD) by bioelectrical impedance vector analysis (BIVA). DESIGN: Cross-sectional study. SETTING: Alzheimer Center, SS. Trinita Hospital, Cagliari, and "Monsignor Angioni" Nursing Home, Quartu Sant'Elena (Cagliari, Italy). PARTICIPANTS: 83 free-living patients with mild-moderate Alzheimer's disease (29 men, 54 women), 9 institutionalized women in the severe stage; 468 age-matched controls (202 men, 266 women). MEASUREMENTS: Mini Nutritional Assessment (MNA), anthropometric (height, weight, BMI), bioelectrical (R, Xc) and biochemical variables (serum albumin) were assessed. RESULTS: Bioelectrical characteristics were significantly different in the patients with mild-moderate AD with respect to controls, indicating low body cell mass (men, T2= 12.8; women, T2=34.9; p < 0.01). Women with severe AD showed low body cell mass and dehydration with respect to patients with mild-moderate AD (T2=17.1; p < 0.01). The phase angle, R/H and Z/H were significantly correlated (p < 0.05) with MNA (phase: r = 0.31; R/H: r =-0.37; Z/H: r =-0.37) and albumin (phase: r=0.47; R/H: r=-0.36; Z/H: r=-0.36). CONCLUSION: Alzheimer's disease is characterized by a tendency to malnutrition, present even in the mild-moderate stages, and a tendency to dehydration that appears in the severe stage. The BIVA technique is a promising tool for the screening and monitoring of nutrition and hydration status in Alzheimer's disease.

Predictors of high level of burden and distress in caregivers of demented patients: results of an Italian multicenter study.

BACKGROUND: Considerable suffering is experienced by carers of patients with dementia. Most existing studies do not consider the coexistence of subjective and objective aspects that cause, interacting to each other, this suffering. OBJECTIVES: In this study we: (1) define the high-risk group of caregivers on the bases of the scores obtained on the four scales evaluating burden, distress, depression and anxiety (BDDA) taken into account simultaneously and (2) evaluate risk factors related to the high level of BDDA. SUBJECTS AND METHODS: 419 elderly outpatients with dementia and their caregivers were enrolled. Patients were evaluated for their cognitive, neuropsychological and functional impairment and for comorbidity. Caregivers were evaluated with four scales for the assessment of burden, distress related to neuropsychological disturbances, depression and anxiety. Cluster analysis was used to identify the group with the High level of BDDA (HBDDA). RESULTS: By multiple logistic analysis, disability, specific behavioural disturbances of the patients as well as caregiver's age, type of relationship and living in the south of Italy were observed to be a major risk factor for HBDDA. CONCLUSION: The targeted use of scales specifically assessing BDDA of the caregiver and the identification of particular patient and caregiver characteristics are able to allow a precise and early definition of caregivers at high risk of burden and distress. This might be helpful in planning the correct social/clinical/rehabilitative approach.

AKEntAnnos. The Sardinia Study of Extreme Longevity.

This paper describes an epidemiological study performed in all centenarians living in Sardinia, a large island located in the Mediterranean sea, 120 Km from the Italian coast. Due to its long-standing isolation, low immigration rate, high endogamy and rather uniform lifestyle, Sardinia offers an ideal setting in which to study the genetic traits associated with extreme longevity and successful aging. A total of 233 potentially eligible centenarians were traced in the entire territory. Of these, 66 died prior to being interviewed, 11 were not found and unknown, and 15 refused to be interviewed. A multidimensional home interview was administered to 141 centenarians, and an equivalent number of 60-year-old controls matched for gender and area of residence. Furthermore, 41 living siblings of the centenarians, and 41 age- and sex-matched controls for these siblings were also studied. The prevalence of centenarians was 13.56 per 100,000, and the female/male ratio was approximately 2. Prevalence and female/male ratio were consistent across the four Sardinian municipalities and are, respectively, higher and lower than those reported in other population-based surveys. A number of methodological problems confronted in doing the field work, and plans for future analysis of this rich dataset are discussed.