Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For:	Ribeiro SML, Fernandez SSM, Rogero MM. Nutrition and Diabetes in the Context of Inflammaging. Curr Geri Rep 2020. [DOI: 10.1007/s13670-020-00338-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]

Number	Cited by Other Article(s)
1	Factors related to malnutrition and their association with frailty in community-dwelling older adults registered at a geriatric clinic. Exp Gerontol 2022;165:111865. [PMID: 35660640 DOI: 10.1016/j.exger.2022.111865] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 05/22/2022] [Accepted: 05/31/2022] [Indexed: 11/23/2022] Abstract BACKGROUND We hypothesized that factors related to malnutrition, namely low muscle mass, appetite loss, and adiposity, are associated with frailty and pre-frailty in community-dwelling older adults. AIMS To identify the prevalence of frailty and pre-frailty in a Brazilian convenience sample and test the association between these conditions and malnutrition-related factors. METHODS This is a cross-sectional analysis of an ongoing community project. We studied 106 older adults (≥60 years old). Frailty (dependent variable) was screened using the FRAIL-BR scale. The independent variables were appetite loss (AL), screened from the SNAQ questionnaire; sarcopenia risk, investigated by SARC-F; body adiposity, estimated by the body mass index (BMI); visceral adiposity, estimated by waist circumference (WC) and the combination of these two indicators. The associations were investigated using multinomial logistic regression models. MAIN RESULTS We found, from our sample, 30.2 % pre-frail and 31.1 % frail participants. The frail and pre-frail were older than the non-frail; the frail ones presented a higher proportion of sarcopenia risk and a higher proportion of AL. From the multiple regression models, frailty conditions showed significant association with the AL (OR = 0.68; p = 0.012 and OR = 0.64; p = 0.009 for pre-frail and frail, respectively) and with sarcopenia risk (OR = 3.24; p = 0.001 and OR = 5.34; p < 0.011 for pre-frail and frail respectively). The adiposity indicated by waist circumference, and age, remained in the final model only as adjusting variables but without statistical significance. CONCLUSIONS in our convenience sample of older adults, frailty and pre-frailty showed significant association with appetite loss and sarcopenia risk, but not with adiposity indicators. Future studies are needed to better understand our findings. Collapse Key Words Appetite loss Central obesity Frailty Malnutrition Sarcopenia Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse

Number

Cited by Other Article(s)

Factors related to malnutrition and their association with frailty in community-dwelling older adults registered at a geriatric clinic. Exp Gerontol 2022;165:111865. [PMID: 35660640 DOI: 10.1016/j.exger.2022.111865] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 05/22/2022] [Accepted: 05/31/2022] [Indexed: 11/23/2022]

Abstract

BACKGROUND

We hypothesized that factors related to malnutrition, namely low muscle mass, appetite loss, and adiposity, are associated with frailty and pre-frailty in community-dwelling older adults.

AIMS

To identify the prevalence of frailty and pre-frailty in a Brazilian convenience sample and test the association between these conditions and malnutrition-related factors.

METHODS

This is a cross-sectional analysis of an ongoing community project. We studied 106 older adults (≥60 years old). Frailty (dependent variable) was screened using the FRAIL-BR scale. The independent variables were appetite loss (AL), screened from the SNAQ questionnaire; sarcopenia risk, investigated by SARC-F; body adiposity, estimated by the body mass index (BMI); visceral adiposity, estimated by waist circumference (WC) and the combination of these two indicators. The associations were investigated using multinomial logistic regression models.

MAIN RESULTS

We found, from our sample, 30.2 % pre-frail and 31.1 % frail participants. The frail and pre-frail were older than the non-frail; the frail ones presented a higher proportion of sarcopenia risk and a higher proportion of AL. From the multiple regression models, frailty conditions showed significant association with the AL (OR = 0.68; p = 0.012 and OR = 0.64; p = 0.009 for pre-frail and frail, respectively) and with sarcopenia risk (OR = 3.24; p = 0.001 and OR = 5.34; p < 0.011 for pre-frail and frail respectively). The adiposity indicated by waist circumference, and age, remained in the final model only as adjusting variables but without statistical significance.

CONCLUSIONS

in our convenience sample of older adults, frailty and pre-frailty showed significant association with appetite loss and sarcopenia risk, but not with adiposity indicators. Future studies are needed to better understand our findings.

Collapse