2016
DOI: 10.1016/j.jamda.2016.09.008
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Cross-Cultural Adaptation and Validation of the Spanish-Language Version of the SARC-F to Assess Sarcopenia in Mexican Community-Dwelling Older Adults

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Cited by 121 publications
(101 citation statements)
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“…recognised the lowest percentage of people with sarcopenia (ten persons). In turn, based on the literature, SARC-F had low sensitivity, but high specificity and overall good diagnostic accuracy [5][6][7][8]. That was confirmed by our study for five out of six sets of international diagnostic criteria of sarcopenia (except the results related to the FNIH criteria).…”
Section: Plos Onesupporting
confidence: 84%
See 1 more Smart Citation
“…recognised the lowest percentage of people with sarcopenia (ten persons). In turn, based on the literature, SARC-F had low sensitivity, but high specificity and overall good diagnostic accuracy [5][6][7][8]. That was confirmed by our study for five out of six sets of international diagnostic criteria of sarcopenia (except the results related to the FNIH criteria).…”
Section: Plos Onesupporting
confidence: 84%
“…The SARC-F questionnaire developed by Malmström and Morley, and first published in 2013, appears to be the most popular screening test [4]. A range of studies has found SARC-F to be characterised by low sensitivity but high specificity [5][6][7][8]. It is stressed, though, that high sensitivity is hugely desirable for a screening test, resulting in a good ability to detect individuals who actually have the condition.…”
Section: Introductionmentioning
confidence: 99%
“…Several researchers have examined the SARC‐F's utility in detecting current sarcopenia . Woo et al .…”
Section: Discussionmentioning
confidence: 99%
“…Thus, comparisons and conclusions must be made with caution. been done for aggressive 25 and agitated [26][27][28][29] behaviors, depression, 30 neuropsychiatric symptoms, 31 morale, 32 person-centered care, 33 sarcopenia, 34,35 Pool new/existing datasets in culturally sensitive ways. Pooling (i.e., merging) data increases statistical power and the ability to compare outcomes across settings and by subgroups and countries, perhaps suggesting robust opportunities to improve care; that said, challenges to pooling data include being unable to address differences in the study populations due to, for example, no overlap in relevant variables, and lack of comparability between the items in the research instruments or their interpretation.…”
mentioning
confidence: 99%