Diet is a key modifiable factor in the management of malnutrition and age-related diseases such as sarcopenia, an important issue in long-term care homes. The objectives of this study were to evaluate the dietary intake of residents, define dietary patterns, and analyze their association with sex, diet texture, nutritional status, and the presence of sarcopenia. Intake was assessed by the precise weighing method, dietary patterns were defined a posteriori by cluster analysis, and nutritional status and sarcopenia were evaluated by applying the MNA-SF test and EWGSOP algorithm, respectively. A regular diet was consumed by 63% of participants; 56% were at risk of malnutrition and 63% were diagnosed with sarcopenia. Intake of potassium, magnesium, zinc, iodine, vitamin D, E, folic acid, and fiber was low in >80% of participants. Protein intake was <1 g/kg/day in 56% of participants and <25 g/meal in 100%. Two dietary patterns were identified, but neither fully met recommendations. The risk of a poorer diet was higher in females and residents with sarcopenia and was lower in those consuming regular diets. In conclusion, action is required to improve the inadequate nutritional intake of long-term care residents.

Further studies that include residents with functional and/or cognitive impairment are required to validate these results, comparing the diagnostic performance of the EGWSOP algorithm with that of the simplified algorithms validated in the present report.

Assessing sarcopenia, the age-related loss of muscle mass and function, in institutionalized older adults is a challenging task. Data on its prevalence in residential facilities are scant and highly variable. Our objective was to report the prevalence of sarcopenia in older adults living in residential facilities (nursing/long term-care homes and assisted-living facilities) and review the criteria and methodologies used to diagnose sarcopenia in this setting. Bibliographic searches were carried out in 6 electronic databases (Medline via PubMed, Web of Science, Scopus, CINAHL, LILACS, and Cochrane) with the use of the Medical Subject Heading terms "Sarcopenia" and "Residential Facilities." We included studies that evaluated the prevalence of sarcopenia among older adults (aged ≥60 y) living in residential facilities. Forty-four studies were identified, of which 21 studies were included after applying eligibility criteria. The reported prevalence of sarcopenia ranged widely between 17.7% and 73.3% in long term-care homes and between 22% and 87% in assisted-living facilities. Most studies (n = 14) followed the consensus on sarcopenia diagnosis published by the European Working Group on Sarcopenia in Older People. In the other 7 studies, sarcopenia was diagnosed according to muscle mass, which was measured via 5 different techniques, most frequently bioelectrical impedance analysis, establishing cutoff scores for low muscle mass with the use of 5 different indexes, most frequently the skeletal muscle index. There are major differences in study design, methodology, and the approach to sarcopenia diagnosis in this setting, which would, in part, explain the enormous variability in the reported prevalence data. The lack of consensus on the correct diagnostic approach hampers the implementation of appropriate nutritional interventions.

Objective. To compare the one year effect of two dietary interventions with MeDiet on GL and GI in the PREDIMED trial. Methods. Participants were older subjects at high risk for cardiovascular disease. This analysis included 2866 nondiabetic subjects. Diet was assessed with a validated 137-item food frequency questionnaire (FFQ). The GI of each FFQ item was assigned by a 5-step methodology using the International Tables of GI and GL Values. Generalized linear models were fitted to assess the relationship between the intervention group and dietary GL and GI at one year of follow-up, using control group as reference. Results. Multivariate-adjusted models showed an inverse association between GL and MeDiet + extra virgin olive oil (EVOO) group: β = −8.52 (95% CI: −10.83 to −6.20) and MeDiet + Nuts group: β = −10.34 (95% CI: −12.69 to −8.00), when comparing with control group. Regarding GI, β = −0.93 (95% CI: −1.38 to −0.49) for MeDiet + EVOO, β = −1.06 (95% CI: −1.51 to −0.62) for MeDiet + Nuts when comparing with control group. Conclusion. Dietary intervention with MeDiet supplemented with EVOO or nuts lowers dietary GL and GI.

It is necessary to ensure the implementation of regular routines for controlling the quality of meals and meal service as well as the nutritional value of the menus offered in LTC homes.