Ana Maseda1, Clara Diego-Diez2, Laura Lorenzo-López3, Rocío López-López4, Laura Regueiro-Folgueira5, José C Millán-Calenti6. 1. Universidade da Coruña, Gerontology Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, E-15071 A Coruña, Spain. Electronic address: amaseda@udc.es. 2. Universidade da Coruña, Gerontology Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, E-15071 A Coruña, Spain. Electronic address: c.diego@udc.es. 3. Universidade da Coruña, Gerontology Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, E-15071 A Coruña, Spain. Electronic address: laura.lorenzo.lopez@udc.es. 4. Universidade da Coruña, Gerontology Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, E-15071 A Coruña, Spain. Electronic address: rocio.lopez.lopez@udc.es. 5. Universidade da Coruña, Gerontology Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, E-15071 A Coruña, Spain. Electronic address: laura.regueiro.folgueira@udc.es. 6. Universidade da Coruña, Gerontology Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, E-15071 A Coruña, Spain. Electronic address: jcmillan@udc.es.
Abstract
BACKGROUND & AIMS: Malnutrition is an important and growing health problem in elderly people. The main aim of this research was to examine the relationship between socio-demographic factors, social resources, functional status and quality of life and malnutrition or risk of malnutrition in elders. METHODS: A cross-sectional study was conducted with a representative sample of 749 community-dwelling elders aged 65 years and over. A comprehensive assessment was carried out, including the collection of socio-demographic factors, social resources by the Older Americans Resources and Services Scale, nutritional status by the Mini-Nutritional Assessment-Short Form, functional status by the Lawton's instrumental activities of daily living scale and quality of life by the World Health Organizations's Quality of Life measure-brief version (WHOQOL-BREF). RESULTS: Being female, the presence of totally impaired social resources and low scores in the physical health domain of the WHOQOL-BREF were the strongest determinants of malnutrition/risk of malnutrition. This model predicted 85.7% of the cases correctly. In men, the best determinants were being unmarried and having poor satisfaction with their health, with a percentage of 89.8% of cases of poor nutritional status correctly predicted. The best determinant for women was also the physical health domain of the WHOQOL-BREF, reaching a correct prediction of 83.0% of malnutrition/risk of it. CONCLUSIONS: Nutritional status assessment and potential determinant factors should be incorporated as part of comprehensive assessments for early identification of malnutrition and to determine appropriate intervention strategies to address this public health problem in older adults.
BACKGROUND & AIMS:Malnutrition is an important and growing health problem in elderly people. The main aim of this research was to examine the relationship between socio-demographic factors, social resources, functional status and quality of life and malnutrition or risk of malnutrition in elders. METHODS: A cross-sectional study was conducted with a representative sample of 749 community-dwelling elders aged 65 years and over. A comprehensive assessment was carried out, including the collection of socio-demographic factors, social resources by the Older Americans Resources and Services Scale, nutritional status by the Mini-Nutritional Assessment-Short Form, functional status by the Lawton's instrumental activities of daily living scale and quality of life by the World Health Organizations's Quality of Life measure-brief version (WHOQOL-BREF). RESULTS: Being female, the presence of totally impaired social resources and low scores in the physical health domain of the WHOQOL-BREF were the strongest determinants of malnutrition/risk of malnutrition. This model predicted 85.7% of the cases correctly. In men, the best determinants were being unmarried and having poor satisfaction with their health, with a percentage of 89.8% of cases of poor nutritional status correctly predicted. The best determinant for women was also the physical health domain of the WHOQOL-BREF, reaching a correct prediction of 83.0% of malnutrition/risk of it. CONCLUSIONS: Nutritional status assessment and potential determinant factors should be incorporated as part of comprehensive assessments for early identification of malnutrition and to determine appropriate intervention strategies to address this public health problem in older adults.
Authors: Laura Lorenzo-López; Rocío López-López; Ana Maseda; Ana Buján; José Luis Rodríguez-Villamil; José Carlos Millán-Calenti Journal: Front Psychol Date: 2020-05-15
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Authors: Roma Krzymińska-Siemaszko; Ewa Deskur-Śmielecka; Aleksandra Kaluźniak-Szymanowska; Beata Kaczmarek; Hanna Kujawska-Danecka; Alicja Klich-Rączka; Małgorzata Mossakowska; Sylwia Małgorzewicz; Lechosław B Dworak; Tomasz Kostka; Jerzy Chudek; Katarzyna Wieczorowska-Tobis Journal: Nutrients Date: 2021-12-08 Impact factor: 5.717
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