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Difference between "Physical Fitness Age" Based on Physical Function and Chronological Age Is Associated with Obesity, Hyperglycemia, Depressive Symptoms, and Low Serum Albumin.
Toyoshima, K; Seino, S; Tamura, Y; Ishikawa, J; Chiba, Y; Ishizaki, T; Fujiwara, Y; Shinkai, S; Kitamura, A; Araki, A.
Afiliação
  • Toyoshima K; Kenji Toyoshima, Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Geriatric Hospital, 35-2 Sakae-cho, Itabashi-ku, Tokyo, Japan, E-mail: kenji_toyoshima@tmghig.jp.
J Nutr Health Aging ; 26(5): 501-509, 2022.
Article em En | MEDLINE | ID: mdl-35587763
ABSTRACT

OBJECTIVES:

This study aimed to (1) develop the physical fitness age, which is the biological age based on physical function, (2) evaluate the validity of the physical fitness age for the assessment of sarcopenia, and (3) examine the factors associated with the difference between physical fitness age and chronological age.

DESIGN:

Cross-sectional study. SETTING AND

PARTICIPANTS:

Community-dwelling older adults and outpatients. MEASUREMENTS A formula for calculating the physical fitness age was created based on the usual walking speed, handgrip strength, one-leg standing time, and chronological age of 4,076 older adults from the pooled data of community-dwelling and outpatients using the principal component analysis. For the validation of the physical fitness age, we also used pooled data from community-dwelling older adults (n = 1929) and outpatients (n = 473). Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia 2019 consensus. The association of D-age (the difference between physical and chronological ages) with cardiovascular risk factors, renal function, and cardiac function was examined.

RESULTS:

The receiver operating characteristic analysis, with sarcopenia as the outcome, showed that the area under the curve (AUC) of physical fitness age was greater than that of chronological age (AUC 0.87 and 0.77, respectively, p < 0.001). Binomial logistic regression analysis revealed that the D-age was significantly associated with sarcopenia after adjustment for covariates (odds ratio 1.22, 95% confidence interval 1.19-1.26; p <0.001). In multivariate linear regression analysis with D-age as the dependent variable, D-age was independently associated with a history of diabetes mellitus (or hemoglobin A1c as a continuous variable), obesity, depression, and low serum albumin level. D-age was also correlated with estimated glomerular filtration rate derived from serum cystatin C, brain natriuretic peptide, and ankle-brachial index, reflecting some organ function and arteriosclerosis.

CONCLUSIONS:

Compared to chronological age, physical fitness age calculated from handgrip strength, one-leg standing time, and usual walking speed was a better scale for sarcopenia. D-age, which could be a simple indicator of physical function, was associated with modifiable factors, such as poor glycemic control, obesity, depressive symptoms, and malnutrition.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sarcopenia / Hiperglicemia Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: J Nutr Health Aging Assunto da revista: CIENCIAS DA NUTRICAO / GERIATRIA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sarcopenia / Hiperglicemia Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: J Nutr Health Aging Assunto da revista: CIENCIAS DA NUTRICAO / GERIATRIA Ano de publicação: 2022 Tipo de documento: Article