Literature DB >> 35636064

Associations of multi-faceted factors and their combinations with frailty in Japanese community-dwelling older adults: Kashiwa cohort study.

Weida Lyu1, Tomoki Tanaka2, Bo-Kyung Son3, Masahiro Akishita4, Katsuya Iijima5.   

Abstract

PURPOSE: To investigate the cross-sectional associations of nutrition-related, physical, and social factors and their combinations with frailty in community-dwelling older adults.
METHODS: The participants in this study were 1,161 adults (≥ 65 years). The outcome was frailty severity as assessed by the Cardiovascular Health Study index (score 0: no-frailty, score 1-2: pre-frailty, score ≥ 3: frailty). The independent variables included nutrition-related factors comprising a balanced diet and oral functions, physical factors including exercise habits and awareness of physical function, and social factors including social organizational participation, social support, and social networks. According to the quantity of factors the participants met, four groups were divided. An ordinal logistic regression analysis was conducted to evaluate the associations between frailty severity and the three factors individually and comprehensively.
RESULTS: The mean age was 74.6 (±5.4) and the women is 47.8%. 47.7% and 8.7% of participants had pre-frailty or frailty respectively. Meeting no nutrition-related, physical, or social factors individually showed significantly associated with greater adjusted odds ratio (aORs) of frailty severity [aORs (95% confidence interval)]: nutrition-related factors: 1.58 [1.25-2.01]; physical factors: 2.53 [1.98-3.22]; social factors: 1.52 [1.19-1.93]. Referred to participants who met three factors, participants who met two, one, or none showed significantly associated with increased aORs of frailty severity: two: 1.88 [1.34-2.65]; one: 2.97 [2.09-4.23]; none: 7.52 [4.87-11.62].
CONCLUSION: Meeting no nutrition-related, physical, or social factors individually showed higher risk of being (pre-)frailty. Meeting three factors showed lowest risk of being (pre-)frailty and this risk increased with the quantity decreasing of met factors.
Copyright © 2022. Published by Elsevier B.V.

Entities:  

Keywords:  Combination effect; Frailty severity; Nutrition-related factors; Physical factors; Social factors

Mesh:

Year:  2022        PMID: 35636064     DOI: 10.1016/j.archger.2022.104734

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   4.163


  2 in total

1.  Associations of Nutrition-Related, Physical, and Social Factors and Their Combinations with Sarcopenia in Community-Dwelling Older Adults: Kashiwa Cohort Study.

Authors:  Weida Lyu; Tomoki Tanaka; Bo-Kyung Son; Yasuyo Yoshizawa; Masahiro Akishita; Katsuya Iijima
Journal:  Nutrients       Date:  2022-08-27       Impact factor: 6.706

2.  Bioelectrical impedance analysis to estimate one-repetition maximum measurement of muscle strength for leg press in healthy young adults.

Authors:  Keita Sue; Yukino Kobayashi; Mitsuru Ito; Maiko Midorikawa-Kijima; Shunichi Karasawa; Satoshi Katai; Kimito Momose
Journal:  Sci Rep       Date:  2022-10-13       Impact factor: 4.996

  2 in total

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