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  1. AU="Aguilera-López, María Dolores"
  2. AU="Neely, Greg"

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  1. Article ; Online: Sex-bias in the diagnosis of malnutrition in the elderly: a pilot study.

    Molina-Luque, Rafael / Muñoz Díaz, Belén / Romero-Saldaña, Manuel / Martínez de la Iglesia, Jorge / Aguilera-López, María Dolores / Molina-Recio, Guillermo

    Women & health

    2020  Volume 61, Issue 2, Page(s) 121–132

    Abstract: This research aimed to show that using different cutoff points for women and men in nutritional assessment through the Mini Nutritional Assessment (MNA) and different anthropometric variables, improves the diagnostic accuracy of malnutrition among people ...

    Abstract This research aimed to show that using different cutoff points for women and men in nutritional assessment through the Mini Nutritional Assessment (MNA) and different anthropometric variables, improves the diagnostic accuracy of malnutrition among people over 65 years. A cross-sectional study was carried out in a sample of 240 patients of 65 to 104 years in Córdoba (Spain) between 2013 and 2015. Excluded were those with disabling diseases that prevented informed consent. We assessed Nutritional status using the MNA and the Chang Method (Gold Standard). Global cut points per sex were determined for each independent variable using Receiver Operating Characteristic curves, choosing the best of each according to the highest Youden´s index (J). None of the variables studied showed high precision in the diagnosis of malnutrition in the elderly. Different cutoff points were found for all variables by sex, as well as variations in their validity indexes. The number of lymphocytes was more accurate in women (J = 0.58), being the muscular circumference of the arm the best in men (J = 0.8). Regarding MNA, the Long Form version showed higher sensitivity (S) in women (S = 76%) and short versions in men (S = 71% and 59%) at different cutoff points. The introduction of the sex variable seems determinant to achieve a more accurate diagnostic of malnutrition, avoiding biases derivate from a global study without considering its effect in the development of diseases.
    MeSH term(s) Aged ; Cross-Sectional Studies ; Female ; Humans ; Male ; Malnutrition/diagnosis ; Malnutrition/epidemiology ; Nutrition Assessment ; Nutritional Status ; Pilot Projects
    Language English
    Publishing date 2020-10-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603396-9
    ISSN 1541-0331 ; 0363-0242
    ISSN (online) 1541-0331
    ISSN 0363-0242
    DOI 10.1080/03630242.2020.1834057
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  2. Article ; Online: Predictive Capacity and Cutoff Value of Waist-to-Height Ratio in the Incidence of Metabolic Syndrome.

    Romero-Saldaña, Manuel / Fuentes-Jiménez, Francisco J / Vaquero-Abellán, Manuel / Álvarez-Fernández, Carlos / Aguilera-López, María Dolores / Molina-Recio, Guillermo

    Clinical nursing research

    2017  Volume 28, Issue 6, Page(s) 676–691

    Abstract: The purpose of this study was to compare the predictive ability of waist-to-height ratio (WHtR) compared with other anthropometric indicators in the incidence of metabolic syndrome (MetS) and to propose cutoff values for its early detection in nursing ... ...

    Abstract The purpose of this study was to compare the predictive ability of waist-to-height ratio (WHtR) compared with other anthropometric indicators in the incidence of metabolic syndrome (MetS) and to propose cutoff values for its early detection in nursing practice. A longitudinal cohort study was conducted on a sample of 630 workers (137 exposed and 493 nonexposed), free of MetS at baseline. WHtR was compared with body mass index (BMI), waist circumference (WC), and the percentage of body fat (BF%). In the Cox regression, the adjusted values of hazard ratio (HR) were 5.4 (confidence interval [CI] = [3.1, 9.5]) for WHtR and 7.4 (CI = [3.7, 14.9]) for components of MetS. WHtR obtained the largest area under the curve 0.82 (CI = [0.76, 0.88]), and with a cutoff value of 0.54, values were obtained for sensitivity (70%) and specificity (77%). WHtR was the best predictor of incidence of MetS, with a cutoff value of 0.54. Nursing can improve the early detection of MetS by measuring WHtR.
    MeSH term(s) Adult ; Body Mass Index ; Female ; Humans ; Incidence ; Longitudinal Studies ; Male ; Mass Screening ; Metabolic Syndrome/diagnosis ; Metabolic Syndrome/epidemiology ; Occupational Health ; Retrospective Studies ; Waist Circumference ; Waist-Height Ratio
    Language English
    Publishing date 2017-11-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1146553-0
    ISSN 1552-3799 ; 1054-7738
    ISSN (online) 1552-3799
    ISSN 1054-7738
    DOI 10.1177/1054773817740533
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3652: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

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