Risk of malnutrition in a sample of nonagenarians: Specific versus classic bioelectrical impedance vector analysis

Guglielmo Bonaccorsi, Francesca Santomauro, Chiara Lorini, Laura Indiani, Elettra Pellegrino, Guido Pasquini, Raffaele Molino-Lova, Francesco Epifani, Claudio Macchi, Roberta Boni, Chiara Castagnoli, Francesca Cecchi, Annamaria Gori, Federica Vannetti, Anita Paperini, Nona Turcan, Debora Valecchi, Francesco Sofi, Gianfranco Gensini, Rosanna Abbate

Research output: Contribution to journalArticle

Abstract

Objectives: The aims were to describe the body composition and the risk of malnutrition in a sample of nonagenarians and to identify what bioelectrical impedance vector analysis (BIVA) approach (classic or specific) is more correlated with either the risk of malnutrition or various anthropometric parameters. Methods: In the Mugello area (Italy), a representative sample of nonagenarians was enrolled in a survey aimed at investigating various health issues, including those related to nutritional status. The nutritional status was investigated using body mass index (BMI), mid-upper arm circumference (MUAC), calf circumference (CC), Malnutrition Universal Screening Tool (MUST), and BIVA. Two different approaches were used for the BIVA data analysis: the classic method and the specific method. Results: All measurements were obtained from 321 nonagenarians (65.7% of the enrolled sample; 92 men and 229 women); 74.8% of the subjects were at low risk of malnutrition according to MUST, 62.5% exhibited CC values higher than 31 cm, and 86.8% exhibited MUAC values higher than 22 cm. The bioelectrical parameters varied with nutritional status, independent of the nutritional indicator used; the parameters also varied based on sex and BIVA approach. The bioelectrical parameters obtained by the specific BIVA approach were more strongly correlated with MUST score, MUAC, and CC values compared with the parameters calculated using the classic approach. Conclusions: Our study produced findings relevant to particular aspects of population aging. Above all, the specific BIVA was more effective at assessing nutritional status based on both anthropometric parameters and the risk of malnutrition.

Original languageEnglish
Pages (from-to)368-374
Number of pages7
JournalNutrition
Volume32
Issue number3
DOIs
Publication statusPublished - 2016

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Electric Impedance
Malnutrition
Nutritional Status
Arm
Body Composition
Italy
Body Mass Index
Health
Population

Keywords

  • Calf circumference
  • Classic BIVA
  • Elderly
  • Malnutrition universal screening tool
  • Mid-upper arm circumference
  • Nutritional status
  • Specific BIVA

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Nutrition and Dietetics

Cite this

Risk of malnutrition in a sample of nonagenarians : Specific versus classic bioelectrical impedance vector analysis. / Bonaccorsi, Guglielmo; Santomauro, Francesca; Lorini, Chiara; Indiani, Laura; Pellegrino, Elettra; Pasquini, Guido; Molino-Lova, Raffaele; Epifani, Francesco; Macchi, Claudio; Boni, Roberta; Castagnoli, Chiara; Cecchi, Francesca; Gori, Annamaria; Vannetti, Federica; Paperini, Anita; Turcan, Nona; Valecchi, Debora; Sofi, Francesco; Gensini, Gianfranco; Abbate, Rosanna.

In: Nutrition, Vol. 32, No. 3, 2016, p. 368-374.

Research output: Contribution to journalArticle

Bonaccorsi, G, Santomauro, F, Lorini, C, Indiani, L, Pellegrino, E, Pasquini, G, Molino-Lova, R, Epifani, F, Macchi, C, Boni, R, Castagnoli, C, Cecchi, F, Gori, A, Vannetti, F, Paperini, A, Turcan, N, Valecchi, D, Sofi, F, Gensini, G & Abbate, R 2016, 'Risk of malnutrition in a sample of nonagenarians: Specific versus classic bioelectrical impedance vector analysis', Nutrition, vol. 32, no. 3, pp. 368-374. https://doi.org/10.1016/j.nut.2015.09.011
Bonaccorsi, Guglielmo ; Santomauro, Francesca ; Lorini, Chiara ; Indiani, Laura ; Pellegrino, Elettra ; Pasquini, Guido ; Molino-Lova, Raffaele ; Epifani, Francesco ; Macchi, Claudio ; Boni, Roberta ; Castagnoli, Chiara ; Cecchi, Francesca ; Gori, Annamaria ; Vannetti, Federica ; Paperini, Anita ; Turcan, Nona ; Valecchi, Debora ; Sofi, Francesco ; Gensini, Gianfranco ; Abbate, Rosanna. / Risk of malnutrition in a sample of nonagenarians : Specific versus classic bioelectrical impedance vector analysis. In: Nutrition. 2016 ; Vol. 32, No. 3. pp. 368-374.
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AU - Bonaccorsi, Guglielmo

AU - Santomauro, Francesca

AU - Lorini, Chiara

AU - Indiani, Laura

AU - Pellegrino, Elettra

AU - Pasquini, Guido

AU - Molino-Lova, Raffaele

AU - Epifani, Francesco

AU - Macchi, Claudio

AU - Boni, Roberta

AU - Castagnoli, Chiara

AU - Cecchi, Francesca

AU - Gori, Annamaria

AU - Vannetti, Federica

AU - Paperini, Anita

AU - Turcan, Nona

AU - Valecchi, Debora

AU - Sofi, Francesco

AU - Gensini, Gianfranco

AU - Abbate, Rosanna

PY - 2016

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N2 - Objectives: The aims were to describe the body composition and the risk of malnutrition in a sample of nonagenarians and to identify what bioelectrical impedance vector analysis (BIVA) approach (classic or specific) is more correlated with either the risk of malnutrition or various anthropometric parameters. Methods: In the Mugello area (Italy), a representative sample of nonagenarians was enrolled in a survey aimed at investigating various health issues, including those related to nutritional status. The nutritional status was investigated using body mass index (BMI), mid-upper arm circumference (MUAC), calf circumference (CC), Malnutrition Universal Screening Tool (MUST), and BIVA. Two different approaches were used for the BIVA data analysis: the classic method and the specific method. Results: All measurements were obtained from 321 nonagenarians (65.7% of the enrolled sample; 92 men and 229 women); 74.8% of the subjects were at low risk of malnutrition according to MUST, 62.5% exhibited CC values higher than 31 cm, and 86.8% exhibited MUAC values higher than 22 cm. The bioelectrical parameters varied with nutritional status, independent of the nutritional indicator used; the parameters also varied based on sex and BIVA approach. The bioelectrical parameters obtained by the specific BIVA approach were more strongly correlated with MUST score, MUAC, and CC values compared with the parameters calculated using the classic approach. Conclusions: Our study produced findings relevant to particular aspects of population aging. Above all, the specific BIVA was more effective at assessing nutritional status based on both anthropometric parameters and the risk of malnutrition.

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KW - Specific BIVA

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