2017
DOI: 10.1016/j.nut.2017.03.002
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Influence of nutritional status in the diagnosis of sarcopenia in nursing home residents

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Cited by 27 publications
(24 citation statements)
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“…In addition, in the women studied who had a malnutrition risk and who were identified as malnourished, the percentage of sarcopenia was higher (57.1% vs 22.8%). Similarly, the study by Lardiés et al ., 28 which was conducted in older patients living in nursing homes, showed a high prevalence of malnutrition among female nursing home residents (45.4%).…”
Section: Discussionmentioning
confidence: 70%
“…In addition, in the women studied who had a malnutrition risk and who were identified as malnourished, the percentage of sarcopenia was higher (57.1% vs 22.8%). Similarly, the study by Lardiés et al ., 28 which was conducted in older patients living in nursing homes, showed a high prevalence of malnutrition among female nursing home residents (45.4%).…”
Section: Discussionmentioning
confidence: 70%
“…One of the studies only included women (28) and another only included men (18), whereas the remaining studies included both sexes. With respect to inclusion/exclusion criteria, 2 did not set a minimum age (28,36), whereas the minimum age was 60 y in 5 studies (18,23,27,32,33), 70 y in 3 (22,25,34), and 65 y in the remaining 11 studies. People unable to walk were excluded in 10 studies Values are means ± SDs, means (ranges), or means depending on data available.…”
Section: Resultsmentioning
confidence: 99%
“…Although the same indexes were used by different studies, the selection of cutoffs varied. The most frequently used index was the SMI in 10 studies (21,22,25,27,(30)(31)(32)(33)(34)38), 4 of which selected a cutoff of 6.42 kg/m 2 for females and 8.87 kg/m 2 for males (22,27,31,32). In the studies that used anthropometry, the CC cutoff was 31 cm (19,20,24,36) and the midupper arm muscle circumference cutoff was 23.3 cm for females and 23.8 cm for males.…”
mentioning
confidence: 99%
“…Despite the different recommendations, it is recognised that adiposity must be taken into account to obtain a more accurate SMI estimate in overweight and obese individuals (47,52) . Sarcopenia evaluated through SMI/ht 2 in older people from the general population showed that this syndrome was associated with lower BMI (53)(54)(55) . Conversely, when muscle mass is evaluated by SMI/BMI, sarcopenia may be associated with higher values of BMI or adiposity.…”
Section: Discussionmentioning
confidence: 99%