A three month high-intensity functional exercise program did not increase the amount of muscle mass and an intake of a protein-enriched drink immediately after the exercise did not induce any additional effect on muscle mass. There were negative long-term effects on muscle mass and BW, indicating that it is probably necessary to compensate for an increased energy demand when offering a high-intensity exercise program.

The results indicate a higher relative contribution of energy from carbohydrates in PD patients. An association between low protein, folate, magnesium, and phosphorus density of the diet and olfaction was seen in the whole population.

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The underlying disease could play a role, but our results also suggest that L-dopa per se could contribute to the weight loss.

The aim of this study was to test the intervalidity of three different nutrition screening tools towards a broad population of elderly hospitalized patients. The association with risk factors and mortality was investigated. This is a prospective cohort study in three medical, surgical and geriatric settings, in Denmark and Sweden. Patients >65 years were consecutively included. Patients were screened by mini-nutritional assessment (MNA), malnutrition universal screening tool (MUST) and nutritional risk screening (NRS-2002). Anthropometrics, cognitive test (SPMSQ), as well as a questionnaire investigation regarding eating problems and life situation, were performed. Mortality within 12 months was investigated. In total, 233 patients mean (SD) age 81(7.64) years were included. A large variation in prevalence of nutritional risk was determined between the screening tools, MNA was 68% vs. MUST, 47% and NRS 54%, p < 0.0001. An overall agreement of 67% was seen (κ 0.52-0.55). Risk factors were associated with nutritional risk, including depressive mood. Only handgrip strength, fungus in mouth, serum albumin, CRP and cognitive function were associated with mortality. Fungus had the strongest association (OR 3.7; CI 1.19-11.30). The overall mortality rate was 27% during 12 months. However, none of the three screening tools predicted 12-month mortality. The findings show great variation in the prevalence of nutritional risk of under nutrition both between the tools and the settings. The level of agreement between the tools was moderate, and none of the three tools were capable of predicting 12-month mortality. A functional and psychological evaluation including oral health seems recommendable in elderly patients at nutritional risk.

Older age, female sex, depression, mild to moderate dementia syndrome, malnutrition, and severe physical impairment do not seem to have a negative effect on functional balance from a high-intensity functional weight-bearing exercise program. Consequently, people with these characteristics in residential care facilities should not be excluded from offers of rehabilitation including high-intensity exercises.

The majority of participants were at risk of or suffering from malnutrition. Urinary tract infection during the preceding year was independently associated with poor nutritional status. Dependence in feeding was also associated with poor nutritional status as were low MMSE scores for women. Prospective observations and randomized controlled trials are necessary to gain an understanding of a causal association between malnutrition and UTI.

BackgroundIn clinical practice, in the absence of objective measures, simple methods to predict energy requirement in patients with chronic obstructive pulmonary disease (COPD) needs to be evaluated. The aim of the present study was to evaluate predicted energy requirement in females with COPD using pedometer-determined physical activity level (PAL) multiplied by resting metabolic rate (RMR) equations.MethodsEnergy requirement was predicted in 18 women with COPD using pedometer-determined PAL multiplied by six different RMR equations (Harris–Benedict; Schofield; World Health Organization; Moore; Nordic Nutrition Recommendations; Nordenson). Total energy expenditure (TEE) was measured by the criterion method: doubly labeled water. The predicted energy requirement was compared with measured TEE using intraclass correlation coefficient (ICC) and Bland–Altman analyses.ResultsThe energy requirement predicted by pedometer-determined PAL multiplied by six different RMR equations was within a reasonable accuracy (±10%) of the measured TEE for all equations except one (Nordenson equation). The ICC values between the criterion method (TEE) and predicted energy requirement were: Harris–Benedict, ICC =0.70, 95% confidence interval (CI) 0.23–0.89; Schofield, ICC =0.71, 95% CI 0.21–0.89; World Health Organization, ICC =0.74, 95% CI 0.33–0.90; Moore, ICC =0.69, 95% CI 0.21–0.88; Nordic Nutrition Recommendations, ICC =0.70, 95% CI 0.17–0.89; and Nordenson, ICC =0.40, 95% CI −0.19 to 0.77. Bland–Altman plots revealed no systematic bias for predicted energy requirement except for Nordenson estimates.ConclusionFor clinical purposes, in absence of objective methods such as doubly labeled water method and motion sensors, energy requirement can be predicted using pedometer-determined PAL and common RMR equations. However, for assessment of nutritional status and for the purpose of giving nutritional treatment, a clinical judgment is important regarding when to accept a predicted energy requirement both at individual and group levels.