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1.
The aim of this prospective cohort study was to examine the relationships between the intakes of various vitamins and the loss of muscle mass in older people with type 2 diabetes (T2DM). The change in skeletal muscle mass index (SMI, kg/m2) (kg/m2/year) was defined as follows: (SMI at baseline (kg/m2) − SMI at follow-up (kg/m2))/follow-up period (year). The rate of SMI reduction (%) was calculated as follows (the change in SMI (kg/m2/year)/SMI at baseline (kg/m2)) × 100. The rate of SMI reduction ≥ 1.2% was considered as the loss of muscle mass. Among 197 people with T2DM, 47.2% of them experienced the loss of muscle mass at the 13.7 ± 5.2 month follow-up. Vitamin B1 (0.8 ± 0.3 vs. 0.8 ± 0.3 mg/day, p = 0.031), vitamin B12 (11.2 ± 8.3 vs. 13.4 ± 7.5 μg/day, p = 0.049), and vitamin D (16.5 ± 12.2 vs. 21.6 ± 13.0 μg/day, p = 0.004) intakes in people with the loss of muscle mass were significantly lower than those without. Vitamin D intake was related to the loss of muscle mass after adjusting for sex, age, exercise, alcohol, smoking, body mass index, SMI, glucagon-like peptide-1 agonist, sodium glucose cotransporter-2 inhibitor, insulin, HbA1c, creatinine, energy intake, and protein intake (adjusted odds ratio 0.93, 95% confidence interval: 0.88–0.97, p = 0.003). This study showed that vitamin D intake was related to the loss of muscle mass in older people with T2DM. Vitamin B12 intake tended to be related to the loss of muscle mass, although vitamin A, vitamin B2, vitamin B6, vitamin C, and vitamin E intake were not related.  相似文献   

2.
ObjectiveSarcopenia is highly prevalent in hospitalized older patients and associated with short-term mortality. This study aimed to investigate whether sarcopenia and its measures handgrip strength (HGS) and muscle mass at hospital admission were associated with long-term mortality in a cohort of hospitalized older patients.DesignObservational, prospective, longitudinal inception cohort study.Setting and ParticipantsAcademic teaching hospital; patients age ≥70 years admitted to the internal medicine, acute admission, trauma, or orthopedic wards.MethodsHGS and muscle mass were measured at admission using a hand dynamometer and bioelectrical impedance analysis. Sarcopenia was determined based on the European Working Group on Sarcopenia in Older People definition. HGS and muscle mass (skeletal muscle mass index, appendicular lean mass, relative skeletal muscle mass) were expressed as sex-specific tertiles. The associations of sarcopenia, HGS, and muscle mass with mortality (during a follow-up of 3.4-4.1 years) were analyzed using Cox regression, adjusted for age, sex, comorbidity, and weight or height. Associations of HGS and muscle mass were stratified by sex.ResultsOut of 363 patients [mean age: 79.6 years (standard deviation: 6.4), 49.9% female] 49% died. Probable sarcopenia (prevalence of 53.7%) and sarcopenia (prevalence of 20.8%) were significantly associated with long-term mortality [hazard ratio (HR) 1.53, 95% confidence interval (CI) 1.08?2.17 and 1.71 95% CI 1.12?2.61, respectively]. Low HGS, skeletal muscle mass index, and appendicular lean mass were associated with a higher mortality risk (lowest tertile vs highest tertile: HR 2.660, 95% CI 1.40?5.05; HR 1.95, 95% CI 1.06?3.58 and HR 1.99 (95% CI 1.12?3.53) in male patients. No statistically significant associations of relative muscle mass with mortality were found.Conclusions and ImplicationsSarcopenia and its measures (low HGS and low absolute muscle mass at admission) predict long-term mortality in older hospitalized patients.  相似文献   

3.
Ruth Chan  Jason Leung  Jean Woo 《Nutrients》2015,7(8):7070-7084
Dietary pattern analysis is an emerging approach to investigate the association between diet and frailty. This study examined the association of dietary patterns with frailty in 2724 Chinese community-dwelling men and women aged ≥ 65 years. Baseline dietary data were collected using a food frequency questionnaire between 2001 and 2003. Adherence to a priori dietary patterns, including the Diet Quality Index-International (DQI-I) and the Mediterranean Diet Score (MDS) was assessed. Factor analysis identified three a posteriori dietary patterns, namely “vegetables-fruits”, “snacks-drinks-milk products”, and “meat-fish”. Incident frailty was defined using the FRAIL scale. Binary logistic regression was applied to examine the associations between dietary patterns and four-year incident frailty. There were 31 (1.1%) incident frailty cases at four years. Every 10-unit increase in DQI-I was associated with 41% reduced risk of frailty in the sex- and age-adjusted model (odds ratio (OR) (95% confidence interval (CI)): 0.59 (0.42–0.85), p = 0.004). The association attenuated in the multivariate adjusted model (0.69 (0.47–1.02), p = 0.056). No association between other dietary patterns and incident frailty was observed. Our study showed that a better diet quality as characterized by higher DQI-I was associated with lower odds of developing frailty. The contribution of MDS or a posteriori dietary patterns to the development of frailty in Chinese older people remains to be explored.  相似文献   

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5.

Objectives

To examine the association between nutritional status and frailty in older adults.

Design

Cross-sectional study.

Setting

Community-dwelling older adults were recruited from 10 study sites in South Korea.

Participants

1473 volunteers aged 70–84 years without severe cognitive impairment and who participated in the Korean Frailty and Aging Cohort Study (KFACS) conducted in 2016.

Measurements

Nutritional status was measured using the Mini Nutritional Assessment Short Form (MNA-SF). Frailty was assessed with the Fried’s frailty index. The relationship between nutritional status and frailty was examined using the multinomial regression analysis, adjusting for covariates.

Results

Of the respondents 14.3% had poor nutrition (0.8% with malnutrition, 13.5% at risk of malnutrition). There were 10.7% who were frail, with 48.5% being prefrail, and 40.8% robust. Poor nutrition was related to a significantly increased risk of being prefrail (odds ratio [OR]: 1.59, 95% confidence interval [CI]: 1.09–2.32) and frail (OR: 3.30, 95% CI: 1.96–5.54).

Conclusion

Poor nutritional status is strongly associated with frailty in older adults. More research to understand the interdependency between nutritional status and frailty may lead to better management of the two geriatric conditions.
  相似文献   

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ObjectiveTo evaluate the impact of prefrailty and frailty on all-cause mortality, acute exacerbation, and all-cause hospitalization in patients with chronic obstructive pulmonary disease (COPD).DesignMeta-analysis.Setting and ParticipantsTwo authors independently searched PubMed, Web of Science, and Embase databases until December 27, 2022,to identify studies that reported the predictive value of prefrailty and frailty in COPD patients.MeasurementsAll-cause mortality, acute exacerbation, and all-cause hospitalization.ResultsTen studies reporting on 11 articles enrolling 13,203 patients with COPD were included. The prevalence of frailty ranged from 6.0% to 51%. When compared with nonfrailty, the pooled adjusted hazard ratio (HR) of all-cause mortality was 1.48 (95% CI 0.92-2.40) for prefrailty and 2.64 (95% CI 1.74-4.02) for frailty, respectively. The pooled adjusted odds ratio (OR) of all-cause hospitalization was 1.35 (95% CI 1.05-1.74) for prefrailty and 1.65 (95% CI 1.05-2.61) for frailty. In addition, frailty significantly predicted all acute exacerbation (OR 2.20, 95% CI 1.26-3.81) but not moderate to severe acute exacerbation (OR 1.42, 95% CI 0.94-2.17) in patients with stable COPD. However, the pooled results of all-cause hospitalization were not reliable in leave-1-out sensitivity analyses.Conclusions and ImplicationsFrailty significantly predicts all-cause mortality in patients with COPD, even after adjustment for common confounding factors. Assessment of frail status in COPD patients may improve secondary prevention and allow early intervention. However, future studies are warranted to validate the impact of frailty defined by a standardized definition of frailty on acute exacerbation and all-cause hospitalization.  相似文献   

8.
ObjectiveFrailty is a known risk factor for adverse outcomes after cardiac interventions. However, the extent to which it increases the likelihood of adverse outcomes in heart failure (HF) patients remains unexplored. Therefore, we conducted this systematic review and meta-analysis to quantify the impact of frailty on prognosis in this patient population.DesignMeta-analysis.Setting and ParticipantsPubMed and Embase were searched for studies that investigated the relationship between frailty and outcomes in patients with HF. The search period was from the beginning of the databases through to December 3, 2017.MeasuresA total of 342 and 919 entries were retrieved from PubMed and Embase, respectively. Of these, 20 met our inclusion criteria and were therefore included.ResultsFrailty significantly increased the risk of all-cause mortality [hazard ratio (HR) = 1.59, 95% confidence interval (CI) = 1.39-1.82, P < .0001, I2 = 55%] and hospitalizations (HR = 1.31, 95% CI = 1.21-1.42, P < .0001, I2 = 0%). Moreover, it was predictive of all-cause mortality after ventricular assist device implantation for advanced HF (HR = 1.62, 95% CI = 1.35-1.94, P < .0001, I2 = 2%).Conclusions/Implications: Frailty is a significant predictor of all-cause mortality and hospital readmissions in HF. Assessment and close monitoring of frailty status of heart failure patients can potentially better guide clinical management of this population.  相似文献   

9.

Objectives

Data for the assessment of frailty in acutely ill hospitalized older adults remains limited. Using the Frailty Index (FI) as “gold standard,” we compared (1) the diagnostic performance of 3 frailty measures (FRAIL, Clinical Frailty Scale [CFS], and Tilburg Frailty Indicator [TFI]) in identifying frailty, and (2) their ability to predict negative outcomes at 12 months after enrollment.

Design

Prospective cohort study.

Participants

We recruited 210 patients (mean age 89.4 ± 4.6 years, 69.5% female), admitted to the Department of Geriatric Medicine in a 1300-bed tertiary hospital.

Measurements

Premorbid frailty status was determined. Data on comorbidities, severity of illness, functional status, and cognitive status were gathered. We compared area under receiver operator characteristic curves (AUC) for each frailty measure against the reference FI. Multiple logistic regression was used to examine the independent association between frailty and the outcomes of interest.

Results

Frailty prevalence estimates were 87.1% (FI), 81.0% (CFS), 80.0% (TFI), and 50.0% (FRAIL). AUC against FI ranged from 0.81 (95% confidence interval [CI] 0.72–0.90: FRAIL) to 0.91 (95% CI 0.87–0.95: CFS). Only FRAIL was associated with higher in-hospital mortality (6.7% vs 1.0%, P = .031). FRAIL and CFS were significantly associated with increased length of hospitalization (10 [6.0–17.5] vs 8 [5.0–14.0] days, P = .043 and 9 [5.0–17.0] vs 7 [4.25–11.75] days, P = .036, respectively). CFS and FI were highly associated with mortality at 12-month (CFS, frail vs nonfrail: 32.9% vs 2.5%, P < .001, and FI, frail vs nonfrail: 30.6% vs 3.7%, P < .001). CFS also conferred the greatest risk of 12-month mortality (odds ratio [OR] 5.78, 95% CI 3.19–10.48, P < .001) and composite outcomes of institutionalization and/or mortality (OR 3.69, 95% CI 2.31–5.88, P < .001), adjusted for age, sex, and severity of illness.

Conclusion

Our study affirms the utility of frailty assessment tools among older persons in acute care. FRAIL conferred highest risk of in-hospital mortality. However, CFS had greatest risk of mortality and institutionalization within 12 months.  相似文献   

10.
This study aimed to assess the impact of malnutrition on the 5-year evolution of physical performance, muscle mass and muscle strength in participants from the SarcoPhAge cohort, consisting of community-dwelling older adults. The malnutrition status was assessed at baseline (T0) according to the “Global Leadership Initiatives on Malnutrition” (GLIM) criteria, and the muscle parameters were evaluated both at T0 and after five years of follow-up (T5). Lean mass, muscle strength and physical performance were assessed using dual X-ray absorptiometry, handgrip dynamometry, the short physical performance battery test and the timed up and go test, respectively. Differences in muscle outcomes according to nutritional status were tested using Student’s t-test. The association between malnutrition and the relative 5-year change in the muscle parameters was tested using multiple linear regressions adjusted for several covariates. A total of 411 participants (mean age of 72.3 ± 6.1 years, 56% women) were included. Of them, 96 individuals (23%) were diagnosed with malnutrition at baseline. Their muscle parameters were significantly lower than those of the well-nourished patients both at baseline and after five years of follow-up (all p-values < 0.05), except for muscle strength in women at T5, which was not significantly lower in the presence of malnutrition. However, the 5-year changes in muscle parameters of malnourished individuals were not significantly different than those of well-nourished individuals (all p-values > 0.05).  相似文献   

11.

Introduction

Several studies have assessed the performance of the original frailty phenotype criteria (FPC) and the standardized version according to the characteristics of the population. No studies exist, however, evaluating the impact of this standardization on its predictive ability.

Objective

To compare how the original FPC and the standardized-frailty phenotype criteria (S-FPC) estimate the prevalence of frailty and their ability to predict mortality, hospitalization, incident disability, and falls.

Methods

Data were taken from the Toledo Study for Healthy Aging, a population-based, community-dwelling study conducted on 1645 individuals over 65. Frailty was operationalized in two ways: FPC, using the cut-off estimated in the Cardiovascular Health Study and S-FPC, using cut-off points fitted to the phenotypic characteristics of our study sample. Frailty prevalences were compared using chi-square statistic. Cox proportional hazard models and logistic regressions evaluated the predictive ability of both tools. Lastly, survival tests were applied.

Results

Frailty and prefrailty prevalences varied according to the tool used: 24.12% and 66.40%, respectively when we used FPC and 6.68% and 47.81% when we used S-FPC (P < .01). Regarding their predictive ability, S-FPC, but not FPC, identified consistently the prefrail persons as an intermediate risk group between robust and frail people [death 1.57 (1.15-2.16); hospitalization 1.47 (1.16-1.85); and incident disability 1.96 (1.30-2.97); P < .005]. Furthermore S-FPC predicted death and hospitalization at shorter times than FPC (P < .05).

Conclusion

FPC should be standardized according to the characteristics of the population in order to improve its predictive ability.  相似文献   

12.

Objectives

Comprehensive Geriatric Assessment (CGA) may not be performed in clinical practice as it takes too much time and requires special training. The Mini-Nutritional Assessment (MNA) is widely used to assess nutritional status in older adults. We aimed to determine whether or not the MNA can estimate frailty status defined by the Fried criteria.

Setting and Participants

Six hundred two outpatients aged 65 years or older who underwent the CGA were included the study.

Measures

Frailty status was defined by 5 dimensions including shrinking, exhaustion, low levels of activity, weakness, and slowness: 0 for robust, 1–2 for prefrail, and 3–5 for frail. MNA was performed in all participants even if their MNA-Short Form scores were ≥12.

Results

Of the 602 outpatients, of whom the mean age was 74.2 ± 8.2 years, 190 participants (31.6%) were considered frail and 218 (36.2%) prefrail. Internal consistency of the MNA had a Cronbach-alpha of 0.701. Interclass correlation coefficient for the test-retest reliability was found as 0.697. MNA with a cut-off point of 22.5 had a sensitivity of 72.1% and a specificity of 91.2% to detect frail participants. MNA with a cut-off point of 25.5 had a sensitivity of 66.9% and a specificity of 85.4% to detect prefrailty. For the estimation of frailty and prefrailty, the area under the receiver operating characteristics curve of MNA was 0.903 and 0.834, respectively.

Conclusions

MNA can be a useful tool for frailty screening indicating that 2 common geriatric syndromes, malnutrition and frailty, can be identified by MNA simultaneously in clinical practice.  相似文献   

13.

Objectives

To investigate the relationship of 4 sarcopenia definitions with long-term all-cause mortality risk in older Australian women.

Design

Data from the Perth Longitudinal Study in Aging Women from 2003 to 2013 was examined in this prospective cohort study. The 4 sarcopenia definitions were the United States Foundation for the National Institutes of Health (FNIH), the European Working Group on Sarcopenia in Older People (EWGSOP), and adapted FNIH (AUS-POPF) and EWGSOP (AUS-POPE) definitions using Australian population-specific cut-points [<2 standard deviation (SD)] below the mean of young healthy Australian women. All-cause mortality was captured via linked data systems.

Setting and Participants

In total, 903 community-dwelling older Australian women (baseline mean age 79.9 ± 2.6 years) with concurrent measures of muscle strength (grip strength), physical function (timed-up-and-go; TUG) and appendicular lean mass (ALM) were included.

Measures

Cox-proportional hazards modeling was used to examine the relationship between sarcopenia definitions and mortality over 5 and 9.5 years.

Results

Baseline prevalence of sarcopenia by the 4 definitions differed substantially [FNIH (9.4%), EWGSOP (24.1%), AUS-POPF (12.0%), AUS-POPE (10.7%)]. EWGSOP and AUS-POPE had increased age-adjusted hazard ratios (aHRs) for mortality over 5 years [aHR 1.88 95% confidence interval (CI) (1.24?2.85), P < .01; aHR 2.52 95% CI (1.55?4.09), P < .01, respectively] and 9.5 years (aHR 1.39 95% CI (1.06?1.81), P = .02; aHR 1.94 95% CI (1.40?2.69), P < .01, respectively). No such associations were observed for FNIH or AUS-POPF. Sarcopenia components including weaker grip strength (per SD, 4.9 kg; 17%) and slower TUG (per SD, 3.1 seconds; 40%) but not ALM adjusted-variants (ALM/body mass index or ALM/height2) were associated with greater relative hazards for mortality over 9.5 years.

Conclusions/Relevance

Unlike FNIH, the EWGSOP sarcopenia definition incorporating weak muscle strength and/or poor physical function was related to prognosis, as was the regionally adapted version of EWGSOP. Although sarcopenia definitions were not developed based on prognosis, this is an important consideration for globally standardizing the sarcopenia framework.  相似文献   

14.
Declines in skeletal muscle mass and strength are major contributors to increased mortality, morbidity and reduced quality of life in older people. Recommended Dietary Allowances/Intakes have failed to adequately consider the protein requirements of the elderly with respect to function. The aim of this paper was to review definitions of optimal protein status and the evidence base for optimal dietary protein. Current recommended protein intakes for older people do not account for the compensatory loss of muscle mass that occurs on lower protein intakes. Older people have lower rates of protein synthesis and whole-body proteolysis in response to an anabolic stimulus (food or resistance exercise). Recommendations for the level of adequate dietary intake of protein for older people should be informed by evidence derived from functional outcomes. Randomized controlled trials report a clear benefit of increased dietary protein on lean mass gain and leg strength, particularly when combined with resistance exercise. There is good consistent evidence (level III-2 to IV) that consumption of 1.0 to 1.3 g/kg/day dietary protein combined with twice-weekly progressive resistance exercise reduces age-related muscle mass loss. Older people appear to require 1.0 to 1.3 g/kg/day dietary protein to optimize physical function, particularly whilst undertaking resistance exercise recommendations.  相似文献   

15.
ObjectivesTo assess the short- and long-term association of 6 healthy behaviors (not smoking, vigorous to moderate physical activity, healthy diet, adequate sleeping duration, not being sedentary, and daily social interaction) with incident frailty and disability.DesignProspective population-based study.Settings and ParticipantsIn 2001, 4008 community-dwelling individuals aged ≥60 years in Spain were recruited. Participants were followed up until 2003, when a short-term phone interview of the remaining 3235 individuals was performed. Then, the participants were followed up until 2009, when a long-term phone interview was conducted with 1309 participants.MeasuresAt baseline, a home interview and a physical examination were conducted to assess healthy behaviors. At baseline and at follow-ups, we ascertained frailty and 4 domains of disability: limitation in instrumental activities of daily living, restriction in daily activities, limitation in mobility, and self-care limitation.ResultsIn the short-term analyses, vigorous to moderate physical activity and not being sedentary were associated with a reduction in frailty, multivariable odds ratios (OR) (95% confidence interval) 0.55 (0.35-0.85) and 0.43 (0.26-0.72). Vigorous to moderate physical activity and adequate sleeping duration decreased instrumental activities of daily living limitation OR 0.63 (0.44–0.91) and 0.69 (0.53–0.89) as well as self-care limitation OR 0.62 (0.41–0.92) and 0.65 (0.45-0.94). Adequate sleep duration and not being sedentary decreased restriction in daily activities OR 0.67 (0.49–0.90) and 0.57 (0.36–0.91). Vigorous to moderate physical activity and healthy diet decreased limitation in mobility OR 0.58 (0.35–0.96) and 0.73 (0.54–0.97). Considering these 5 healthy behaviors, participants who scored 5 (vs ≤ 2) in the combined score had a lower risk of frailty and disability. In the long-term analyses, results showed the same direction as in short-term analyses.Conclusions and ImplicationsThe combination of healthy behaviors is associated with a substantial reduction in the risk of frailty and of most disability outcomes in older adults.  相似文献   

16.
上海市老年慢性病患者住院问题研究   总被引:3,自引:0,他引:3  
随着上海市老龄化的加剧,老年慢性病患者的住院问题日益引起社会关注。在对上海市几家典型二、三级医院慢性病患者住院情况调查的基础上,分析了老年慢性病患者住院的主要特点,并对上海市慢性病患者床位需求量进行了初步估算,为上海医改和医疗资源整合提供决策依据。  相似文献   

17.
ObjectivesTo investigate the prevalence of frailty in older adults living with dementia and explore the differences in medication use according to frailty status.DesignSystematic review of published literature from inception to August 20, 2020.Setting and ParticipantsAdults age ≥65 years living with dementia in acute-care, community and residential care settings.MethodsA systematic search was performed in Embase, Medline, International Pharmaceutical Abstracts, APA PscyInfo, CINAHL, Scopus, and Web of Science. Two reviewers independently screened records and conducted quality assessment using the Newcastle-Ottawa Scale.ResultsSixteen articles met the inclusion criteria, with 7 studies conducted in acute care setting and 9 studies in community-dwelling adults. Five studies recruited people with dementia exclusively, and 11 studies were conducted in older populations that included individuals with dementia diagnosis. Among studies conducted in acute care setting, the prevalence of frailty ranged from 50.8% to 91.8% compared with studies in community-dwelling setting, which reported a prevalence of 24.3% to 98.9%. With respect to medication exposure, 3 studies documented medication use according to frailty status but not dementia status. Higher medications use, measured as total number of medications was reported in frail [7.0 ± 4.0 (SD) ?12.0 ± 9.0 (SD)] compared with nonfrail participants [6.1 ± 3.1(SD) ?10.4 ± 3.8 (SD)].Conclusions and ImplicationsCurrent data suggests a wide range of frailty prevalence in individuals with dementia. Future studies should systematically document frailty in adults living with dementia and its impact on medication use.  相似文献   

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19.
To determine the relationship between eating speed and the presence of sarcopenia in older patients with type 2 diabetes (T2D), in this cross-sectional study, patient eating speeds were classified as “fast-”, “normal-” and “slow-speed eating.” A multifrequency impedance analyzer was used to evaluate patient body compositions. Sarcopenia was defined as having both low muscle strength, a handgrip strength <28 kg for men and <18 kg for women, and low skeletal muscle mass as a skeletal muscle mass index <7.0 kg/m2 for men and <5.7 kg/m2 for women. Among 239 individuals, the frequencies of fast-, normal-, and slow-speed eating were 47.3%, 32.2%, and 20.5%, respectively; and the prevalence of sarcopenia was 15.9%. Patients with a slow eating speed had greater prevalence of low skeletal muscle mass, low muscle strength, and sarcopenia than those with a fast or normal eating speed. After adjusting for covariates, compared to slow eaters, the odds ratio of having sarcopenia among fast- and normal-speed eaters was 0.31 [95% CI: 0.12–0.80] and 0.18 [95% CI: 0.06–0.53], respectively. Having a slow eating speed is associated with a heightened risk of sarcopenia in older patients with T2D.  相似文献   

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