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1.

Objectives

A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition

Design

A cross-sectional study of the data obtained at registration in a randomized control trial.

Setting

Toyota, Japan.

Participants

Community-dwelling older subjects (male 54.6%) who had cognitive complaints.

Measurements

A battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance.

Results

The study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test.

Conclusion

The current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains.
  相似文献   

2.
ObjectivesStudy the frequency and determinants of frailty transitions in a community-dwelling older population.DesignPopulation-based prospective longitudinal study [The Toledo Study of Healthy Ageing (TSHA)].Setting and Participants1748 community-dwelling individuals aged >65 years living in Toledo, a Spanish province.MethodsFrailty was measured with the Fried phenotype. Logistic models were used to assess the associations of sociodemographic, clinical, life-habits, functional, physical performance, and analytical variables with frailty transitions (losing robustness, transitioning from prefrailty to robustness, and from prefrailty to frailty) over a median of 5.2 years.ResultsMean age on enrolment was 75 years, and 55.8% were females. At baseline, 10.3% were frail and 43.1% prefrail. At follow-up, 35.8% of the frail individuals recovered to a prefrail and 15.1% to a robust state. In addition, 43.7% of the prefrail participants became robust, but 14.5% developed frailty. Of those robust at baseline, 32.9% became prefrail and 4.2% frail. In multivariate logistic models, chair-stands had a predictive role in all transitions studied: linearly in keeping robustness and with a floor effect (5 stands) in transitions from prefrailty to robustness and (inversely) from prefrailty to frailty. More depressive symptoms were associated with unfavorable transitions. Not declaring the amount of alcohol drunk and low grip strength were associated with loss of robustness. Hearing and cognitive impairment, low physical activity and smoking with transitioning from prefrailty to frailty. Autonomy for instrumental activities of daily living and uricemia were associated with transitions between robustness and prefrailty in both directions. Increasing body mass index in the range of moderate to severe obesity hampered regaining robustness.Conclusions and ImplicationsSpontaneous improvement of frailty measured with the Fried phenotype is frequent, mainly to prefrailty. Most of the variables associated with transitions are modifiable and suggest research topics and interventions to reduce frailty in clinical and social care settings.  相似文献   

3.
The association between frailty and obesity may differ according to the heterogeneity of body mass index (BMI) and waist circumference (WC) phenotypes in older adults. We hypothesized that the use of simple indicators of general and abdominal obesity combined, may more accurately represent obesity and allow to further elucidate on how frailty status and its criteria are related to obesity. A sample of 1444 older adults, aged ≥65 years (Nutrition UP 65 study) was included in a cross-sectional analysis. General and abdominal obesity were defined according to World Health Organization BMI and WC cut-offs, and frailty by Fried et al. phenotype. A cluster analysis defined groups according to BMI and WC levels. Overweight (BMI between 25.0 and 29.9 kg/m2; 44.6%), general obesity (BMI ≥30.0 kg/m2; 39.0%), and abdominal obesity (WC >102 cm for men and >88 cm for women) were highly frequent (66.5%). Prefrailty (odds ratio [OR]: 2.33; 95% confidence interval [CI]: 1.52-3.57) and frailty (OR: 2.87; 95% CI: 1.58-5.22) were directly associated with the “general and abdominal obesity” cluster. Regarding frailty criteria, low handgrip strength (OR: 2.29; 95% CI: 1.55-3.38) and weight loss (OR: 0.27; 95% CI: 0.14-0.52) were also associated with this cluster. In this sample of older adults presenting a high frequency of overweight and obesity, prefrailty and frailty are linked to higher levels of adiposity, but only when both general and abdominal obesity are present. Present results emphasize the importance of the evaluation of both BMI and WC in the geriatric clinical practice and suggest that older adults presenting both general and abdominal obesity should be routinely screened for frailty.  相似文献   

4.

Objective

Though the association between physical frailty and health is well established, little is known about its association with other domains of quality of life (QoL). This study investigated the association between physical frailty and multiple domains of QoL in community-dwelling older people.

Design

Cross-sectional study.

Setting and participants

Data of the 2011 annual assessment of 927 older people (age 73-77 years) from the Lc65+ cohort study were used.

Measurements

Physical frailty was assessed by Fried’s five criteria: ‘shrinking’; ‘weakness’; ‘poor endurance, exhaustion’; ‘slowness’; and ‘low activity’. QoL was assessed using 28 items yielding a QoL score and seven domain-specific QoL subscores (Feeling of safety; Health and mobility; Autonomy; Close entourage; Material resources; Esteem and recognition; and Social and cultural life). Low QoL (QoL score or QoL subscores in the lowest quintile) was used as dependent variable in logistic regression analyses adjusted for age and sex (model 1), and additionally for socioeconomic (model 2) and health (model 3) covariates.

Results

Physical frailty was associated with a low QoL score, as well as decreased QoL subscores in all seven specific domains, even after adjusting for socio-economic covariates. However, when performing additional adjustment for health covariates, only the domain Health and mobility remained significantly associated with physical frailty. Among each specific Fried’s criteria, ‘slowness’ had the strongest association with a low QoL score.

Conclusion

Physical frailty is associated with all QoL domains, but these associations are largely explained by poor health characteristics. Longitudinal studies are needed to better understand temporal relationships between physical frailty, health and QoL.
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5.
Background: There is limited evidence in the literature regarding associations between fruit and vegetable consumption and risk of frailty. Objective: To examine associations between fruit and vegetable consumption and risk of incident frailty and incident prefrailty/frailty. Design: A prospective panel study. Setting and Subjects: 2634 non-frail community-dwelling men and women aged 60 years or older from the English Longitudinal Study of Ageing (ELSA). Methods: Fruit and vegetable consumption/day was measured using a self-completion questionnaire at baseline. Frailty status was measured at baseline and follow-up was based on modified frailty phenotype criteria. Four-year incident frailty was examined among 2634 robust or prefrail participants, and incident prefrailty/frailty was measured among 1577 robust participants. Results: Multivariable logistic regression models adjusted for age, gender, and other confounders showed that fruit and vegetable consumption was not associated with incident frailty risks among robust or prefrail participants. However, robust participants consuming 5–7.5 portions of 80 g per day (odds ratio (OR) = 0.56, 95% confidence interval (CI) = 0.37–0.85, p < 0.01) and 7.5–10 portions per day (OR = 0.46, 95%CI = 0.27–0.77, p < 0.01) had significantly lower risk of incident prefrailty/frailty compared with those consuming 0–2.5 portions/day, whereas those consuming 10 or more portions/day did not (OR = 1.10, 95%CI = 0.54–2.26, p = 0.79). Analysis repeated with fruit and vegetable separately showed overall similar results. Conclusions: Robust older adults without frailty who eat current U.K. government recommendations for fruit and vegetable consumption (5–10 portions/day) had significantly reduced risks of incident prefrailty/frailty compared with those who only eat small amount (0–2.5 portions/day). Older people can be advised that eating sufficient amounts of fruit and vegetable may be beneficial for frailty prevention.  相似文献   

6.
The aim of this study was to examine the impact of the combination of physical frailty and social isolation on falling in community-dwelling older adults. A cross-sectional study of data obtained at registration in a randomized control trial. Community-based study of participants recruited from Toyota, Japan. 380 community-dwelling older adults (47.9% women, mean age = 72.3 ± 4.6 years). Participants were categorized as non-frail or pre-frail/frail based on the Fried frailty criteria (slowness, weakness, exhaustion, low activity, and weight loss). Social isolation was examined using the Lubben Social Network Scale (LSNS-6), and scores lower than 12 points indicated social isolation. Participants were divided into four groups depending on pre-frail/frail status and social isolation, and experiences of multiple falls over the past year were compared between the groups. Participants were classified into robust (n = 193), physical frailty (PF; n = 108), social isolation (SI; n = 43), and PF with SI (PF+SI; n = 36) groups. A total of 38 (10.0%) participants reported multiple falls. Logistic regression analysis showed that PF and SI groups were not independently associated with falling (PF: OR 1.64, 95% CI 0.65–4.16, SI: OR 2.25, 95% CI 0.77–6.58), while PF+SI group was significantly associated with falling compared with the robust group (OR 3.06, 95% CI 1.00–9.34, p = 0.049) after controlling for confounding factors. Our findings support the assertion that coexistence with physical frailty and social isolation were associated with falling in the older adults.  相似文献   

7.

Objective

The association between frailty and malnutrition is widely noted, but the common and distinct aspects of this relationship are not well understood. We investigated the prevalence of prefrailty/frailty and malnutrition/nutritional risk; their overlapping prevalence; compared their sociodemographic, physical, and mental health risk factors; and assessed their association, independently of other risk factors.

Methods

Cross-sectional study of population-based cohort (Singapore Longitudinal Ageing Study [SLAS]-1 [enrolled 2003–2005] and SLAS-2 [enrolled 2010–2013]) of community-dwelling older Singaporeans aged ≥55 (n = 6045).

Measurements

Mini Nutritional Assessment (MNA)–Short Form (SF), Nutritional Screening Initiative (NSI) Determine Checklist, Fried physical frailty phenotype.

Results

The overall prevalence of MNA malnutrition was 2.8%, and at risk of malnutrition was 27.6%; the prevalence of frailty and prefrailty were 4.5%, and 46.0% respectively. Only 26.5% of participants who were malnourished were frail, but 64.2% were prefrail (totally 90.7% prefrail or frail). The prevalence of malnutrition among frail participants was 16.1%, higher than in other studies (10%); nearly one-third of the whole population sample had normal nutrition while being prefrail (27.7%) or frail (1.5%). The prevalence of risk factors for prefrailty/frailty and malnutrition/nutritional risk were remarkably similar. MNA at risk of malnutrition and malnutrition were highly significantly associated with prefrailty (odds ratio [OR] 2.11 and 6.71) and frailty (OR 2.72 and 17.4), after adjusting for many other risk factors. The OR estimates were substantially lower with NSI moderate and high nutritional risk for prefrailty (OR 1.39 and 1.74) and frailty (OR 1.27 and 1.93), but remain significantly elevated.

Conclusion

Frailty and malnutrition are related but distinct conditions in community-dwelling older adults. The contribution of poor nutrition to frailty in this population is notably greater. Both frail/prefrail elderly and those who are malnourished/at nutritional risk should be identified early and offered suitable interventions.  相似文献   

8.
ObjectivesTo examine the associations between 3 frailty instruments and circulating micronutrients in a large representative sample of older adults.DesignCross-sectional data from a nationally representative cohort study conducted between October 2009 and July 2011.Participants and settingAdults age ≥50 years (n = 4068) living in the community in Ireland.MeasurementsCirculating micronutrients (lutein, zeaxanthin, folate, vitamin B-12, and vitamin D) were measured, transformed, and standardized. Frailty was assessed using the Frailty Phenotype, the Frailty Index, and the FRAIL Scale (fatigue, resistance, ambulation, illnesses, and loss of weight), instruments. Multinomial logistic regression determined associations between micronutrients and prefrailty or frailty. Models were adjusted for sociodemographic, lifestyle, health, and seasonal factors.ResultsAdjusting for age, sex, and educational attainment, all 3 measures of frailty were associated with lower levels of lutein [relative risk ratios (RRRs): 0.43‒0.63], zeaxanthin (RRRs: 0.49‒0.63), and vitamin D (RRRs: 0.51‒0.75), and with the accumulation of micronutrient insufficiencies (RRRs: 1.42‒1.90). Attenuated but significant associations were also observed with all measures of prefrailty for lutein, vitamin D, and number of micronutrient insufficiencies. The associations with frailty persisted following additional adjustment for social, lifestyle, and health and seasonal factors, and following multiple test correction.Conclusions and implicationsWe have presented the most consistent evidence in the largest study to date that micronutrient concentrations are associated with prefrailty and frailty in older adults. Our data suggest that low micronutrient status has potential as an easily modifiable marker and intervention target for frailty and supports further investigation into micronutrient supplementation and fortification to prevent frailty and disability among older adults.  相似文献   

9.
There are few studies on dietary patterns and frailty in Asians, and the results are controversial. Therefore, this study examined the association between dietary patterns and frailty in older Korean adults using the Korean Frailty and Aging Cohort Study (KFACS). The sample consisted of 511 subjects, aged 70–84 years, community-dwelling older people from the KFACS. Dietary data were obtained from the baseline study (2016–2017) using two nonconsecutive 24-h dietary recalls, and dietary patterns were extracted using reduced rank regression. Frailty was measured by a modified version of the Fried Frailty Phenotype (FFP) in both the baseline (2016) and the first follow-up study (2018). A logistic regression analysis was used to examine the association between dietary patterns and frailty status in 2018. The “meat, fish, and vegetables” pattern was inversely associated with pre-frailty (OR = 0.41, 95% CI = 0.21–0.81, p for trend = 0.009) and exhaustion (OR = 0.41, 95% CI = 0.20–0.85, p for trend = 0.020). The “milk” pattern was not significantly associated with frailty status or the FFP components. In conclusion, a dietary pattern with a high consumption of meat, fish, and vegetables was associated with a lower likelihood of pre-frailty.  相似文献   

10.
ObjectivesThe Global Leadership Initiative on Malnutrition (GLIM) has proposed a consensus scheme for classifying malnutrition. This study examined the prevalence of malnutrition according to GLIM criteria and evaluated if these criteria were associated with adverse outcomes in community-dwelling older adults.DesignThis was a prospective cohort study.Setting and ParticipantsCommunity-dwelling Chinese men and women aged ≥65 years in Hong Kong.MethodsA health check including questionnaire interviews and physical measurements was conducted at baseline and 14-year follow-up. Participants were classified as malnourished at baseline according to the GLIM criteria based on 2 phenotypic components (low body mass index and reduced muscle mass) and 1 etiologic component (inflammation). Adverse outcomes including sarcopenia, frailty, falls, mobility limitation, hospitalization, and mortality were assessed at 14-year follow-up. Adjusted multiple logistic regression and Cox proportional hazards model were performed to examine the associations between malnutrition and adverse outcomes and presented as odds ratio (OR) or hazard ratio (HR) and 95% confidence interval (CI).ResultsData of 3702 participants [median age: 72 years (IQR 68–76)] were available at baseline. Malnutrition was present in 397 participants (10.7%). Malnutrition was significantly associated with higher risk of sarcopenia (n = 898, OR 2.25; 95% CI 1.04–4.86), frailty (Fried (n = 971, OR 2.83; 95% CI 1.47–5.43), FRAIL scale (n = 985, OR 2.30; 95% CI 1.06–4.98)) and all-cause mortality (n = 3702, HR: 1.62; 95% CI 1.39–1.89). There was no significant association between malnutrition and falls (n = 987, OR 1.09; 95% CI 0.52–2.31), mobility limitation (n = 989, OR 0.98; 95% CI 0.36–2.67), and hospitalization (n = 989, OR 1.37; 95% CI 0.67–2.77).Conclusions and ImplicationsAmong community-dwelling Chinese older adults, malnutrition according to selected GLIM criteria was a predictor of sarcopenia, frailty, and mortality at 14-year follow-up; whereas no association was found for falls, mobility limitation, and hospitalization. Clinicians may consider applying the GLIM criteria to identify malnourished community-dwelling older adults.  相似文献   

11.
Liu  W.  Chen  Sanmei  Jiang  F.  Zhou  C.  Tang  Siyuan 《The journal of nutrition, health & aging》2020,24(5):500-506
Objectives

To assess the association between malnutrition and physical frailty among nursing home older adults in China.

Design and setting

A cross-sectional study in 15 nursing homes in Changsha, China.

Participants

A total of 705 nursing home residents who were aged 60 and older.

Measurements

Physical frailty was identified based on the following five components: slow gait speed, low physical activity, weight loss, exhaustion, and low grip strength. Nutritional status was assessed using the Mini Nutritional Assessment. Multinomial logistic regression models were used to analyze the association between nutritional status and physical frailty.

Results

The mean (SD) age of the participants was 82.5 (8.1) years old (range, 60–106 years), and 226 (32%) was men. Of those participants, 5.1% and 55.6% were malnourished and at risk of malnutrition, respectively; 60.3% and 36.2% were identified as being frail and prefrail, respectively. Compared with participants who were well-nourished, those who were at risk of malnutrition or malnourished were two times more likely to be physically frail (adjusted odds ratio 2.66, 95% confidence interval 1.01 to 7.00), after adjustment for age, education level, cognitive status, depressive symptoms, and disability in activities of daily living. No significant association was observed between malnutrition and physical prefrailty.

Conclusion

Our findings suggest that poor nutritional status and physical frailty are highly prevalent in nursing home older adults in China, and that poor nutritional status is associated with increased odds of physical frailty.

  相似文献   

12.
目的 比较Fried表型以及由不同数量的疾病缺陷构成的衰弱指数(FI)对衰弱状态评价的一致性以及与死亡风险的前瞻性关联。方法 利用中国慢性病前瞻性研究(CKB)第二次重复调查的23 615名研究对象的数据,采用5种表型指标构建Fried表型,并分别纳入28个和40个疾病缺陷构建FI-28和FI-40。计算加权Kappa系数比较3种指标对衰弱状态分类的一致性。采用Cox比例风险模型分析衰弱指标与死亡风险的关联。结果 采用Fried表型、FI-28和FI-40计算的衰弱率分别为5.4%、7.9%和4.0%。Fried表型与FI-28和FI-40的Kappa系数分别为0.357和0.408,FI-28与FI-40的Kappa系数为0.712。经过(3.9±0.5)年的随访,死亡755人。当采用Fried表型时,与无衰弱组相比,衰弱前期和衰弱组的死亡风险均增加,多因素调整后的风险比(HR)(95%CI)分别为1.60(1.32~1.94)和2.90(2.25~3.73);采用FI-28时,衰弱前期和衰弱组的死亡HR值分别为1.71(1.39~2.11)和2.52(1.95~3.27);采用FI-40时,衰弱前期和衰弱组的死亡HR值分别为1.98(1.60~2.44)和3.71(2.80~4.91)。衰弱状态与死亡风险的关联在不同年龄组间存在差异,在低年龄组中的关联强度高于高年龄组。结论 Fried表型和基于不同数量的变量构建的FI表现出较好的一致性,都能较好地预测死亡风险。  相似文献   

13.
BACKGROUND: Frailty is a common condition in elders and identifies a state of vulnerability for adverse health outcomes. OBJECTIVE: Our objective was to provide a biological face validity to the well-established definition of frailty proposed by Fried et al. DESIGN: Data are from the baseline evaluation of 923 participants aged > or =65 y enrolled in the Invecchiare in Chianti study. Frailty was defined by the presence of > or =3 of the following criteria: weight loss, exhaustion, low walking speed, low hand grip strength, and physical inactivity. Muscle density and the ratios of muscle area and fat area to total calf area were measured by using a peripheral quantitative computerized tomography (pQCT) scan. Analyses of covariance and logistic regressions were performed to evaluate the relations between frailty and pQCT measures. RESULTS: The mean age (+/-SD) of the study sample was 74.8 +/- 6.8 y, and 81 participants (8.8%) had > or =3 frailty criteria. Participants with no frailty criteria had significantly higher muscle density (71.1 mg/cm(3), SE = 0.2) and muscle area (71.2%, SE = 0.4) than did frail participants (69.8 mg/cm(3), SE = 0.4; and 68.7%, SE = 1.1, respectively). Fat area was significantly higher in frail participants (22.0%, SE = 0.9) than in participants with no frailty criteria (20.3%, SE = 0.4). Physical inactivity and low walking speed were the frailty criteria that showed the strongest associations with pQCT measures. CONCLUSION: Frail subjects, identified by an easy and inexpensive frailty score, have lower muscle density and muscle mass and higher fat mass than do nonfrail persons.  相似文献   

14.

Background

Frailty is a state of increased vulnerability to disability, falls, and mortality. The Fried frailty phenotype includes assessments of grip strength and gait speed, which are complex or require objective measurements and are challenging in routine primary care practice. In this study, we aimed to develop a simple assessment tool based on self-reported information on the 5 Fried frailty components to identify older people at risk of incident disability, falls, and mortality.

Methods

Analyses are based on a prospective cohort comprising older British men aged 71–92 years in 2010–2012. A follow-up questionnaire was completed in 2014. The discriminatory power for incident disability and falls was compared with the Fried frailty phenotype using receiver operating characteristic-area under the curve (ROC-AUC); for incident falls it was additionally compared with the FRAIL scale (fatigue, resistance, ambulation, illnesses, and loss of weight). Predictive ability for mortality was assessed using age-adjusted Cox proportional hazard models.

Results

A model including self-reported measures of slow walking speed, low physical activity, and exhaustion had a significantly increased ROC-AUC [0.68, 95% confidence interval (CI) 0.63–0.72] for incident disability compared with the Fried frailty phenotype (0.63, 95% CI 0.59–0.68; P value of ΔAUC = .003). A second model including self-reported measures of slow walking speed, low physical activity, and weight loss had a higher ROC-AUC (0.64, 95% CI 0.59–0.68) for incident falls compared with the Fried frailty phenotype (0.57, 95% CI 0.53–0.61; P value of ΔAUC < .001) and the FRAIL scale (0.56, 95% CI 0.52–0.61; P value of ΔAUC = .001). This model was also associated with an increased risk of mortality (Harrell's C = 0.73, Somer's D = 0.45; linear trend P < .001) compared with the Fried phenotype (Harrell's C = 0.71; Somer's D = 0.42; linear trend P < .001) and the FRAIL scale (Harrell's C = 0.71, Somer's D = 0.42; linear trend P < .001).

Conclusions

Self-reported information on the Fried frailty components had superior discriminatory and predictive ability compared with the Fried frailty phenotype for all the adverse outcomes considered and with the FRAIL scale for incident falls and mortality. These findings have important implications for developing interventions and health care policies as they offer a simple way to identify older people at risk of adverse outcomes associated with frailty.  相似文献   

15.
ObjectivesTo compare the clinical value of 3 frailty indicators in a screening pathway for identifying older men and women who are at risk of falls.DesignA prospective cohort study.Setting and participantsFour thousand Chinese adults (2000 men) aged ≥65 years were recruited from the community in Hong Kong.MethodsThe Cardiovascular Health Study Criteria, the FRAIL scale, and the Study for Osteoporosis and Fracture Criteria (SOF) were included for evaluation. Fall history was used as a comparative predictor. Recurrent falls during the second year after baseline was the primary outcome. The area under the receiver operating characteristic curve (AUC) was used to evaluate the ability of the frailty indicators and fall history to predict recurrent falls. Independent predictors identified in logistic regression were put in the Classification and Regression Tree (CART) analysis to evaluate their performance in screening high-risk fallers.ResultsFall history predicts recurrent falls in both men and women (AUC: men = 0.681; women = 0.645) better than all frailty indicators (AUC ≤ 0.641). After adjusting for fall history, only FRAIL (AUC = 0.676) and SOF (AUC = 0.673) remained as significant predictors for women whereas no frailty indicator remained significant in men.FRAIL could classify older women into 2 groups with distinct chances of being a recurrent faller in people with no fall history (3.8% vs 7.5%), a single fall history (9.5% vs 37.5%), and history of recurrent falls (16.0% vs 30.8%). SOF has limited ability in identifying recurrent fallers in the group of older adults with a single fall history (no fall history: 3.9% vs 8.6%; single fall history: 10.2% vs 10.9%; history of recurrent falls: 16.5% vs 20.6%).Conclusions and implicationsSOF and FRAIL could provide some additional prediction value to fall history in older women but not men. FRAIL could be clinically useful in identifying older women at risk of recurrent falls, especially in those with a single fall history.  相似文献   

16.
ObjectivesTo examine whether physical frailty onset before, after, or in concert with cognitive impairment is differentially associated with fall incidence in community-dwelling older adults.DesignA longitudinal observational study.Setting and ParticipantsData from 1337 older adults age ≥65 years and free of physical frailty or cognitive impairment at baseline were obtained from the National Health Aging Trends Study (2011‒2017), a nationally representative cohort study of US older adult Medicare beneficiaries.MethodsParticipants were assessed annually for frailty (physical frailty phenotype) and cognitive impairment (bottom quintile of clock drawing test or immediate and delayed recall; or proxy-report of diagnosis of dementia or AD8 score of ≥2). Incident falls were ascertained annually via self-report. Multinomial logistic regression was performed to estimate the association between order of first onset of cognitive impairment and/or frailty and incident single or repeated falls in the 1-year interval following their first onset.ResultsOf the 1,337, 832 developed cognitive impairment first (termed “CI first”), 286 developed frailty first (termed “frailty first”) and 219 had co-occurrence of cognitive impairment and frailty within one year (termed “CI-frailty co-occurrence”) over 5 years. Overall, 491 (34.5%) had at least 1 fall during the 1-year interval following the onset of physical frailty and/or cognitive impairment. After adjustment, “CI-frailty co-occurrence” was associated with a more than 2-fold increased risk of repeated falls than “CI first” (odds ratio 2.35, 95% confidence interval 1.51‒3.67; P < .001). No significant difference was found between participants with “frailty first” and “CI first” (P = .07). In addition, the order of onset was not associated with risk of a single fall.Conclusions and ImplicationsOlder adults experiencing “CI-frailty co-occurrence” had the greatest risk of repeated falls compared with those with “CI first” and “frailty first”. Fall risk screening should consider the order and timing of onset of physical frailty and cognitive impairment.  相似文献   

17.

Purpose

Progressive physical frailty in older adults is associated with increased risk of falls, disability, institutionalization, and mortality. Although associations between diabetes and frailty have been observed, the impact of diabetes on frailty in older Hispanics is largely unexplored. We examine the association of diabetes on the odds of frailty among older Mexican Americans.

Methods

Using data from the Hispanic Established Population for the Epidemiological Study of the Elderly from 1995 until 2012, frailty was assessed by slow gait, weak hand grip strength, exhaustion, and unexplained weight loss (n = 1327).

Results

Logistic regression showed a large magnitude of effect of diabetes on the odds of frailty (odds ratio 1.47, 95% confidence interval 1.14–1.90). Other contributors to frailty included arthritis, heart attack, and hip fracture. Positive and negative effects had significant and opposing associations. Ordinal logit models assessed the odds of frail compared to nonfrail and prefrail. In these models, diabetes was associated with a 32% increase in the odds of a higher level of frailty.

Conclusions

Diabetes is a significant contributor to increased frailty in older Mexican Americans. Interventions to reduce frailty rates should focus on mitigating the effects of diabetes and shifting away from negative and toward positive effect.  相似文献   

18.

Introduction

The phenotype proposed by Fried and colleagues is a widely used operational definition of frailty defining such state of extreme vulnerability of older persons. Low serum 25-hydroxy-vitamin D (25(OH)D) has been suggested as biomarker of frailty in literature.

Study design

Cross-sectional.

Objectives

To explore the association of 25(OH)D concentrations with the frailty phenotype and its criteria.

Methods

321 subjects referred by their general practitioner to a geriatric frailty clinic were assessed between January 1, 2013 and September 23, 2013. Adjusted logistic regression models were performed between serum concentrations of 25(OH)D and the frailty phenotype (global score as well as its specific criteria). Receivers operating curves were established in order to explore the existence of a possible threshold of vitamin D levels highly predictive of frailty.

Results

Two hundred forty-one (75%) participants had 25(OH)D levels lower than 22 ng/ml. No significant association was reported between 25(OH)D levels and frailty. Among the five criteria of frailty, 25(OH)D was only associated with sedentariness (odds ratio 0.97 [95% confidence interval 0.95-0.99]).

Conclusion

In our sample, no association was found between 25(OH)D levels and phenotype of frailty or the different frailty criterion except for sedentariness.
  相似文献   

19.

Objectives

Falls are well known to be associated with adverse health outcomes, especially when complicated by fracture. Falls are more common in people who are frail and readily related to several items in the frailty phenotype. Less is known about the relationship between falls and frailty defined as deficit accumulation. Our objective was to investigate the relationship between falls, fractures, and frailty based on deficit accumulation.

Design

Representative cohort study, with 8 year follow-up.

Setting

The Beijing Longitudinal Study of Aging (BLSA).

Participants

3,257 Chinese people aged 55+ years at baseline.

Measurements

A frailty index (FI) was constructed using 33 health deficits, but excluding falls and fractures. The rates of falls, fractures and death as a function of age and the FI were analyzed. Multivariable models evaluated the relationships between frailty and the risk of recurrent falls, fractures, and mortality adjusting for age, sex, and education. Self or informant reported fall and fracture data were verified against participants?? health records.

Results

Of 3,257 participants at baseline (1992), 360 people (11.1%) reported a history of falls, and 238 (7.3%) reported fractures. By eight years, 1,155 people had died (35.3%). The FI was associated with an increased risk of recurrent falls (OR=1.54; 95% confidence interval (CI)=1.34?C1.76), fractures (OR=1.07; 95% CI=0.94?C1.22), and death (OR=1.50, 95% CI=1.41?C1.60). The FI showed a significant effect on mortality in a multivariate Cox regression model (Hazard Rate=1.29, 95% CI=1.25?C1.33). When adjusted for the FI, neither falls nor fractures were associated with mortality.

Conclusion

Falls and fractures were common in older Chinese adults, and associated with frailty. Only frailty was independently associated with death.  相似文献   

20.
ObjectivesTo investigate the association of depressive mood and frailty with mortality and health care utilization (HCU) and identify the coexisting effect of depressive mood and frailty in older adults.DesignA retrospective study using nationwide longitudinal cohort data.Setting and ParticipantsA total of 27,818 older adults age 66 years from the National Screening Program for Transitional Ages between 2007 and 2008, part of the National Health Insurance Service–Senior cohort.MethodsDepressive mood and frailty were measured by the Geriatric Depression Scale and Timed Up and Go test, respectively. Outcomes were mortality and HCU, including long-term care services (LTCS), hospital admissions, and total length of stay (LOS) from the index date to December 31, 2015. Cox proportional hazards regression and zero-inflated negative binomial regression were performed to identify differences in outcomes by depressive mood and frailty.ResultsParticipants with depressive mood and frailty represented 50.9% and 2.4%, respectively. The prevalence of mortality and LTCS use in the overall participants was 7.1% and 3.0%, respectively. More than 3 hospital admissions (36.7%) and total LOS above 15 days (53.2%) were the most common. Depressive mood was associated with LTCS use [hazard ratio (HR) 1.22, 95% confidence interval (CI) 1.05–1.42] and hospital admissions [incidence rate ratio (IRR) 1.05, 95% CI 1.02–1.08]. Frailty had associations with mortality risk (HR 1.96, 95% CI 1.44–2.68), LTCS use (HR 4.86, 95% CI 3.45–6.84), and LOS (IRR 1.30, 95% CI 1.06–1.60). The coexistence of depressive mood and frailty was associated with increased LOS (IRR 1.55, 95% CI 1.16–2.07).Conclusions and ImplicationsOur findings highlight the need to focus on depressive mood and frailty to reduce mortality and HCU. Identifying combined problems in older adults may contribute to healthy aging by reducing adverse health outcomes and the burden of health care costs.  相似文献   

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