Nutritional status mediates the relationship between sarcopenia and cognitive impairment: findings from the WCHAT study

Hu, Fayun; Hu, Liu; Jia, Shuli; Zhao, Wenchuan; Zhou, Lixing; Zhao, Yunli; Hou, Lisha; Xia, Xin; Dong, Birong

doi:10.1007/s40520-021-01883-2

Cited by 17 publications

(15 citation statements)

References 37 publications

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“…This reason might also account for the greater percentage of malnourished participants in the physical frailty group. Additionally, nutritional status was shown to have a significant mediating effect on the relationship between sarcopenia, which has high rate of coexistence with physical frailty and share similar criteria with physical frailty [73,74], and cognitive function [75]. Moreover, our study indicated the association of malnutrition, as measured by MNA-SF and cognitive frailty in older adults which is consistent with other previous studies [21,62].…”

Section: Discussionsupporting

confidence: 91%

Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition

et al. 2021

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Cognitive frailty (CF) is defined by the coexistence of physical frailty and mild cognitive impairment. Malnutrition is an underlying factor of age-related conditions including physical frailty. However, the evidence associating malnutrition and cognitive frailty is limited. This cross-sectional study aimed to determine the association between malnutrition and CF in the elderly. A total of 373 participants aged 65–84 years were enrolled after excluding those who were suspected to have dementia and depression. Then, 61 CF and 45 normal participants were randomly selected to measure serum prealbumin level. Cognitive function was assessed using the Montreal Cognitive Assessment-Basic (MoCA-B). Modified Fried’s criteria were used to define physical frailty. Nutritional status was evaluated by the Mini Nutritional Assessment–short form (MNA-SF), serum prealbumin, and anthropometric measurements. The prevalence of CF was 28.72%. Malnourished status by MNA-SF category (aOR = 2.81, 95%CI: 1.18–6.67) and MNA-SF score (aOR = 0.84, 95%CI = 0.74–0.94) were independently associated with CF. However, there was no correlation between CF and malnutrition assessed by serum prealbumin level and anthropometric measurements. Other independent risk factors of CF were advanced age (aOR = 1.06, 95%CI: 1.02–1.11) and educational level below high school (aOR = 6.77, 95%CI: 1.99–23.01). Malnutrition was associated with CF among Thai elderly. High-risk groups who are old and poorly educated should receive early screening and nutritional interventions.

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Section: Discussionsupporting

confidence: 91%

Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition

et al. 2021

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“…BMI was also associated with sleep quality 35 and cognitive function 36 . In addition, we included MNA score as a covariate, which were confirmed to be associated with sarcopenia, 35 sleep quality 29 and cognitive function 37 . A meta‐analysis summarised covariates associated with sarcopenia 30 .…”

Section: Methodsmentioning

confidence: 99%

“…36 In addition, we included MNA score as a covariate, which were confirmed to be associated with sarcopenia, 35 sleep quality 29 and cognitive function. 37 A meta-analysis summarised covariates associated with sarcopenia. 30 However, due to the sample size of this study, other potential covariates were not included.…”

Section: Covariatesmentioning

confidence: 99%

Relationship between sarcopenia and sleep status in female patients with mild to moderate Alzheimer's disease

Liu

Zhuang

et al. 2022

Psychogeriatrics

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Background: Sleep disorders and sarcopenia could contribute to the development of Alzheimer's disease (AD), which are risk factors that rapidly deteriorate cognitive functions. However, few studies have evaluated the relationship between sarcopenia and sleep disorders in female AD patients, who have a higher prevalence than male patients. This study aimed to investigate the relationship between sarcopenia and sleep status in female patients with mild to moderate AD. Methods: This cross-sectional study recruited 112 female outpatients aged between 60 and 85 years. Demographic characteristics, appendicular skeletal muscle mass index (ASMI), grip strength, and gait speed were assessed. Sarcopenia was diagnosed according to criteria of the Asian Working Group for Sarcopenia. Pittsburgh Sleep Quality Index (PSQI) assessed sleep variables. Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) assessed cognitive function. Binary logistic regression models explored the relationship between sleep variables and cognitive function and sarcopenia, adjusting for potential cofounders. Results: The outpatients were divided into 36 AD patients with sarcopenia (ADSa) and 76 AD patients without sarcopenia (ADNSa), with a prevalence of 32.1%. ADSa had lower ASMI, weaker grip strength, slower gait speed, a higher incidence of poor sleep quality and poorer cognitive function. Multivariate binary logistic regression analysis showed that high total scores of PSQI (odds ratio (OR) = 1.13), poor sleep quality (OR = 2.73), poor subjective sleep quality (OR = 1.83), low MMSE (OR = 0.77) and MoCA (OR = 0.76) scores were associated with high odds of sarcopenia. Compared to sleep time ≤ 15 min, >60 min (OR = 5.01) were associated with sarcopenia. Sleep duration <6 h (OR = 3.99), 8-9 h (OR = 4.48) and ≥9 h (OR = 6.33) were associated with sarcopenia compared to 7-8 h. Conclusions: More sleep symptoms and cognitive impairment exist in female patients with sarcopenia. The higher total scores of PSQI, poorer subjective sleep quality, longer sleep latency, excessive and insufficient sleep duration and poorer cognitive function are associated with higher odds of sarcopenia in female patients with mild to moderate AD.

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“…Therefore, phase Angle plays an important role in the diagnosis of sarcopenia. As a simple and inexpensive method for evaluating the nutritional status of the elderly, MNA-SF has been widely used in the screening of malnutrition [11] and disease prediction in the elderly [12] and it is also used to evaluate the nutritional status of patients with sarcopenia [13] . It has been reported that the MNA-SF score decreases gradually with the severity of sarcopenia [14] .…”

Section: Introductionmentioning

confidence: 99%

Diagnostic value of whole-body phase angle and MNA-SF among the elderly with different phases of sarcopenia in community

Zhu

Dong

WANG

et al. 2022

Preprint

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Objective To compare the diagnostic effects of PhA and MNA-SF in the different stages of sarcopenia, and to analyze the diagnostic value of the combined detection of PhA and MNA-SF for different stages of sarcopenia among the elderly community. Methods The elderly aged 65 and above were enlisted during community outpatient service and their nutritional status was evaluated by MNA-SF scale. The composition with bioelectrical impedance analysis (BIA) was used to test PhA for identifying the diagnostic value of PhA and MNA-SF in different stages of sarcopenia among the elderly community and to analyze the diagnostic effect of combined detection of PhA and MNA-SF. Results The AUC of PhA in the diagnosis of possible sarcopenia was 0.639, the sensitivity was 58.10%, the specificity was 66.67%, and the cut-off value was 4.5. The AUC of combined detection of PhA and MNA-SF for possible sarcopenia was 0.641, the sensitivity was 57.14%, and the specificity was 70.00%. The AUC of MNA-SF for the diagnosis of pre-sarcopenia was 0.805, the sensitivity was 66.67%, the specificity was 85.83%, and the cut-off value was 12. The AUC of combined detection of PhA and MNA-SF was 0.826, the sensitivity was 75.00%, and the specificity was 85.00%. PhA and MNA-SF all had the diagnostic value for sarcopenia, the AUC was 0.862,0.734, the sensitivity was 66.67% and 78.79%, the specificity was 92.50% and 65.00%, the cut-off value was 4.1 and 13. The AUC of combined detection of PhA and MNA-SF for sarcopenia was 0.879, the sensitivity was 81.82% and the specificity was 82.50%. Conclusion The value of PhA alone or combined detection was higher than that of MNA-SF in the diagnosis of possible sarcopenia, the value of MNA-SF alone or combined detection was higher than that of PhA in the diagnosis of pre-sarcopenia. Compared to MNA-SF, the PhA had a higher value in the diagnosis of sarcopenia, which provides references for identifying patients with different stages of sarcopenia in the community.

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Nutritional status mediates the relationship between sarcopenia and cognitive impairment: findings from the WCHAT study

Cited by 17 publications

References 37 publications

Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition

Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition

Relationship between sarcopenia and sleep status in female patients with mild to moderate Alzheimer's disease

Diagnostic value of whole-body phase angle and MNA-SF among the elderly with different phases of sarcopenia in community

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