2014
DOI: 10.1111/jgs.12847
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Detection of Hypovitaminosis D in Older Adults: A Classification Tree Analysis

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Cited by 7 publications
(3 citation statements)
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“…20e28 None of them used ANN methods, but used conventional linear statistical methods. Specifically, the few previous studies in this area tested the performance of already existing dietary questionnaires, 22,23,25 general physical questionnaires, 27,28 or isolated questions 24,26 to detect hypovitaminosis D. Whatever the model tested, results showed rather good sensitivity to hypovitaminosis D (range, 46%e91%) 27,28 but only modest specificity (range, 35%e74%), 25,29 and each time only a single metrological quality was observed (either sensitive or specific). Thus, the results of the current study provide new insights into the identification of hypovitaminosis D in seniors by using a novel statistical approach and by exhibiting greater diagnostic efficiency than hitherto.…”
Section: Discussionmentioning
confidence: 87%
“…20e28 None of them used ANN methods, but used conventional linear statistical methods. Specifically, the few previous studies in this area tested the performance of already existing dietary questionnaires, 22,23,25 general physical questionnaires, 27,28 or isolated questions 24,26 to detect hypovitaminosis D. Whatever the model tested, results showed rather good sensitivity to hypovitaminosis D (range, 46%e91%) 27,28 but only modest specificity (range, 35%e74%), 25,29 and each time only a single metrological quality was observed (either sensitive or specific). Thus, the results of the current study provide new insights into the identification of hypovitaminosis D in seniors by using a novel statistical approach and by exhibiting greater diagnostic efficiency than hitherto.…”
Section: Discussionmentioning
confidence: 87%
“…Although numerous studies have examined the variables influencing serum 25(OH)D concentration, only few have attempted to identify hypovitaminosis D among older adults, and only two among geriatric patients [ 18 , 19 ]. Specifically, these two previous studies have tested the performance of an isolated question [ 18 ] or a general physical questionnaire [ 19 ] to detect hypovitaminosis D among in- and outpatients; but none has evaluated the different definitions of hypovitaminosis D, and none have used a complex algorithm based on non-linear models of feed forward artificial neural networks such as the VDSP [ 8 ]. Thus, the results of the present study provide new insights into the identification of hypovitaminosis D in geriatric patients by using a novel clinical tool, and by exhibiting greater diagnostic efficacy than that hitherto demonstrated.…”
Section: Discussionmentioning
confidence: 99%
“…However, when we categorized studies by age (<50 years and !50 years) and performed a subgroup analysis, VD3S was found to significantly reduce SBP and DBP in participants aged !50 years. This may be because elderly people commonly have vitamin D deficiency [57,58] and often suffer from HTN [33].…”
Section: Discussionmentioning
confidence: 99%