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Wang C, Liu H, Li XY, Ma J, Gu Z, Feng X, Xie S, Tang BS, Chen S, Wang W, Wang J, Zhang J, Chan P. High-depth whole-genome sequencing identifies structure variants, copy number variants and short tandem repeats associated with Parkinson's disease. NPJ Parkinsons Dis 2024; 10:134. [PMID: 39043730 PMCID: PMC11266557 DOI: 10.1038/s41531-024-00722-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 05/10/2024] [Indexed: 07/25/2024] Open
Abstract
While numerous single nucleotide variants and small indels have been identified in Parkinson's disease (PD), the contribution of structural variants (SVs), copy number variants (CNVs), and short tandem repeats (STRs) remains poorly understood. Here we investigated the association using the high-depth whole-genome sequencing data from 466 Chinese PD patients and 513 controls. Totally, we identified 29,561 SVs, 32,153 CNVs, and 174,905 STRs, and found that CNV deletions were significantly enriched in the end-proportion of autosomal chromosomes in PD. After genome-wide association analysis and replication in an external cohort of 352 cases and 547 controls, we validated that the 1.6 kb-deletion neighboring MUC19, 12.4kb-deletion near RXFP1 and GGGAAA repeats in SLC2A13 were significantly associated with PD. Moreover, the MUC19 deletion and the SLC2A13 5-copy repeat reduced the penetrance of the LRRK2 G2385R variant. Moreover, genes with these variants were dosage-sensitive. These data provided novel insights into the genetic architecture of PD.
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Affiliation(s)
- Chaodong Wang
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Hankui Liu
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, 518083, China
| | - Xu-Ying Li
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Jinghong Ma
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Zhuqin Gu
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China
| | - Xiuli Feng
- National Human Genome Center in Beijing, Beijing Economic-Technological Development Zone, Beijing, 100176, China
| | - Shu Xie
- National Human Genome Center in Beijing, Beijing Economic-Technological Development Zone, Beijing, 100176, China
| | - Bei-Sha Tang
- Department of Neurology, Xiangya Hospital, Central South University, State Key Laboratory of Medical Genetics, Changsha, China
| | - Shengdi Chen
- Department of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Wang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, 518083, China
| | - Jian Wang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, 518083, China
| | - Jianguo Zhang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, 518083, China.
- Hebei Industrial Technology Research Institute of Genomics in Maternal & Child Health, Shijiazhuang, 050000, China.
| | - Piu Chan
- Department of Neurology & Neurobiology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Clinical Center for Parkinson's Disease, Capital Medical University, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Beijing, China.
- Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
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Komici K, Pansini A, Bencivenga L, Rengo G, Pagano G, Guerra G. Frailty and Parkinson's disease: the role of diabetes mellitus. Front Med (Lausanne) 2024; 11:1377975. [PMID: 38882667 PMCID: PMC11177766 DOI: 10.3389/fmed.2024.1377975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Accepted: 05/02/2024] [Indexed: 06/18/2024] Open
Abstract
Parkinson's disease (PD) is a chronic neurodegenerative disease associated with a progressive loss of dopaminergic neurons, clinically characterized by motor and non-motor signs. Frailty is a clinical condition of increased vulnerability and negative health outcomes due to the loss of multiple physiological reserves. Chronic hyperglycemia and insulin resistance, which characterize diabetes mellitus (DM), have been reported to alter dopaminergic activity, increase the risk of PD, and influence the development of frailty. Even though diabetes may facilitate the development of frailty in patients with PD, this relationship is not established and a revision of the current knowledge is necessary. Furthermore, the synergy between DM, PD, and frailty may drive clinical complexity, worse outcomes, and under-representation of these populations in the research. In this review, we aimed to discuss the role of diabetes in the development of frailty among patients with PD. We summarized the clinical characteristics and outcomes of patients with concomitant DM, PD, and frailty. Finally, interventions to prevent frailty in this population are discussed.
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Affiliation(s)
- Klara Komici
- Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy
| | | | - Leonardo Bencivenga
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy
| | - Giuseppe Rengo
- Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy
- Istituti Clinici Scientifici Maugeri IRCCS-Scientific Institute of Telese Terme, Telese Terme, BN, Italy
| | - Gennaro Pagano
- Roche Pharma Research and Early Development (pRED), Neuroscience and Rare Diseases Discovery and Translational Area, Roche Innovation Center, Basel, Switzerland
- University of Exeter Medical School, London, United Kingdom
| | - Germano Guerra
- Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy
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DeClercq V, Wright RJ, Nearing JT, Langille MGI. Oral microbial signatures associated with age and frailty in Canadian adults. Sci Rep 2024; 14:9685. [PMID: 38678061 PMCID: PMC11055859 DOI: 10.1038/s41598-024-60409-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 04/23/2024] [Indexed: 04/29/2024] Open
Abstract
This study aimed to assess the association between the oral microbiome, age, and frailty. Data and saliva samples were obtained from male and female participants aged 35-70 years (n = 1357). Saliva samples were analysed by 16S rRNA gene sequencing and differences in microbial diversity and community compositions were examined in relation to chronological age and the frailty index (FI). Most alpha diversity measures (Richness, Shannon Diversity, Faith's Phylogenetic Diversity) showed an inverse association with frailty, whereas a positive association was observed with age and Shannon Diversity and Evenness. A further sex-stratified analysis revealed differences in measures of microbial diversity and composition. Multiple genera were detected as significantly differentially abundant with increasing frailty and age by at least two methods. With age, the relative abundance of Veillonella was reduced in both males and females, whereas increases in Corynebacterium appeared specific to males and Aggregatibacter, Fusobacterium, Neisseria, Stomatobaculum, and Porphyromonas specific to females. Beta diversity was significantly associated with multiple mental health components of the FI. This study shows age and frailty are differentially associated with measures of microbial diversity and composition, suggesting the oral microbiome may be a useful indicator of increased risk of frailty or a potential target for improving health in ageing adults.
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Affiliation(s)
- Vanessa DeClercq
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada.
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Robyn J Wright
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jacob T Nearing
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Morgan G I Langille
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada
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Dong Y, Ma H, Sun H, Li Y, Li X, Pan S, Li C, Liu S, Tang Z, Li L. Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model. Front Public Health 2024; 12:1321580. [PMID: 38510346 PMCID: PMC10951379 DOI: 10.3389/fpubh.2024.1321580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 02/26/2024] [Indexed: 03/22/2024] Open
Abstract
Objective The population is aging exponentially and the resulting frailty is becoming increasingly evident. We aimed to explore the association between altitude and frailty, and to identify associated factors for frailty. Methods This is a community-based cross-sectional survey. 1,298 participants aged ≥60 years from three different altitudes were included in the study. To quantify frailty, we constructed a frailty index (FI) and a frailty score (FS). The FI was divided into non-frailty, prefrailty, and frailty. The Odds Ratios and confidence intervals (ORs, 95%CIs) were used to evaluate the association between altitude and FI and FS in multivariate ordinal logistic regression and linear regression. Results There were 560 (53.1%) participants in the prefrailty and 488 (37.6%) in the frailty group. The FS increased with higher altitude (P for trend <0.001). Multivariate ordinal logistic regression analysis revealed an association between altitude and frailty, OR = 1.91 (95% CI: 1.38-2.64) in mid-high altitude and 2.49 (95% CI:1.40-4.45) in high altitude. The same trend of association was found in the univariate analysis. The FS increased by 1.69 (95% CI: 0.78-2.60) at mid-high altitude and 3.24 (95%CI:1.66-4.81) at high altitude compared to medium altitude. Conclusion The study indicates that high altitude exposure is an associated factor for frailty in older adults. This association become stronger with higher altitudes. As a result, it is essential to conduct early frailty screening for residents living at high altitudes.
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Affiliation(s)
- Yongfei Dong
- Department of Biostatistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
- School of Clinical Medicine, Suzhou Vocational Health College, Suzhou City, Jiangsu Province, China
| | - Hongmei Ma
- Department of Neurology, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, China
| | - Hao Sun
- Department of Biostatistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Yuemei Li
- Department of Nursing Management, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, China
| | - Xiaofang Li
- Department of Nursing Management, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, China
| | - Shiqin Pan
- Department of Intensive Care Unit, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, China
| | - Caixia Li
- Department of Emergency, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, China
| | - Songbai Liu
- School of Clinical Medicine, Suzhou Vocational Health College, Suzhou City, Jiangsu Province, China
| | - Zaixiang Tang
- Department of Biostatistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Lirong Li
- School of Clinical Medicine, Suzhou Vocational Health College, Suzhou City, Jiangsu Province, China
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Bozkurt ME, Catikkas NM, Erdogan T, Oren MM, Kilic C, Karan MA, Bahat G. Frailty and its associates in community-dwelling older adults. REVISTA DA ASSOCIACAO MEDICA BRASILEIRA (1992) 2023; 69:e20230681. [PMID: 37971124 PMCID: PMC10645168 DOI: 10.1590/1806-9282.20230681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/26/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE While the literature contains several studies on the frailty assessed during hospitalization and/or outpatient settings and nursing homes, few studies have assessed frailty in community-dwelling older adults. We investigated the prevalence of frailty and associated factors among older adults in a sample of community-dwelling older adults. METHODS We included community-dwelling older adults >60 years living in the Fatih District of the Istanbul Province. We conducted the study between November 2014 and May 2015. We collected the data such as age, sex, number of diseases and drugs, functional status, frailty, the presence of geriatric syndromes, common diseases, and quality-of-life assessment. Frailty was evaluated by the FRAIL scale. RESULTS A total of 204 adults (mean age: 75.4±7.3 years) were included, of whom 30.4% were robust, 42.6% were pre-frail, and 27% were frail. In multivariate analyses, associated factors of frailty were the number of drugs [odds ratio (OR)=1.240, p=0.036], the presence of cognitive impairment (OR=0.300, p=0.016), and falls (OR=1.984, p=0.048). CONCLUSION The present study established the prevalence of frailty in a large district in the largest metropolis in the country through a valid screening method. Our results suggest that clinicians should consider frailty evaluation in patients with multiple drug usage, cognitive impairment, and falls.
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Affiliation(s)
- Meris Esra Bozkurt
- Istanbul University, Istanbul Medical School, Department of Internal Medicine, Division of Geriatrics – İstanbul, Turkey
| | - Nezahat Muge Catikkas
- Istanbul University, Istanbul Medical School, Department of Internal Medicine, Division of Geriatrics – İstanbul, Turkey
| | - Tugba Erdogan
- Istanbul University, Istanbul Medical School, Department of Internal Medicine, Division of Geriatrics – İstanbul, Turkey
| | - Meryem Merve Oren
- Istanbul University, Istanbul Medical School, Department of Public Health – İstanbul, Turkey
| | - Cihan Kilic
- Istanbul University, Istanbul Medical School, Department of Internal Medicine, Division of Geriatrics – İstanbul, Turkey
| | - Mehmet Akif Karan
- Istanbul University, Istanbul Medical School, Department of Internal Medicine, Division of Geriatrics – İstanbul, Turkey
| | - Gulistan Bahat
- Istanbul University, Istanbul Medical School, Department of Internal Medicine, Division of Geriatrics – İstanbul, Turkey
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Misu Y, Katayama O, Lee S, Makino K, Harada K, Tomida K, Morikawa M, Yamaguchi R, Nishijima C, Fujii K, Shimada H. Reciprocal relationship between physical and social frailty among community-dwelling older adults. Arch Gerontol Geriatr 2023; 114:105066. [PMID: 37245490 DOI: 10.1016/j.archger.2023.105066] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 05/30/2023]
Abstract
OBJECTIVE Both physical and social frailty are risk factors for major adverse health-related outcomes and influence each other. However, the longitudinal causal relationship between physical and social frailty has not been clarified. This study aimed to determine the reciprocal relationship between physical and social frailty by age group. METHODS This study analyzed longitudinal data from a cohort study of older adults aged 65 years or older living in Obu City, Aichi Prefecture, Japan. The study included 2568 participants who participated in both a baseline assessment in 2011 and a follow-up assessment four years later. Participants participated in assessments of physical and cognitive function. Physical frailty was assessed using the Japanese version of the Cardiovascular Health Study criteria. Social frailty was assessed with five questions about daily social activities, social roles, and social relationships. A total frailty score was calculated for each frailty type and used in the cross-lagged panel analysis. The reciprocal relationship between physical and social frailty status was analyzed using a cross-lagged panel model in each of the young-old (n = 2006) and old-old (n = 562) groups. RESULTS In the old-old group, baseline physical frailty status predicted social frailty status four years later, and social frailty status at baseline predicted physical frailty status four years later. In the young-old group, the effect of social frailty status at baseline on physical frailty at four years was significant; however, the cross-lag effect from baseline physical frailty status to social frailty status at four years was insignificant, indicating that social frailty preceded physical frailty. CONCLUSION The reciprocal relationship between physical and social frailty differed by age group. The results of this study suggest the importance of considering age when planning strategies to prevent frailty. Although a causal relationship between both physical and social frailty was observed in old-old, social frailty preceded physical frailty in the young-old, suggesting that early prevention of social frailty is important for the prevention of physical frailty.
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Affiliation(s)
- Yuka Misu
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan.
| | - Osamu Katayama
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan; Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo, Japan
| | - Sangyoon Lee
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan
| | - Keitaro Makino
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan; Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo, Japan
| | - Kenji Harada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan
| | - Kouki Tomida
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan
| | - Masanori Morikawa
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan
| | - Ryo Yamaguchi
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan
| | - Chiharu Nishijima
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan
| | - Kazuya Fujii
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan
| | - Hiroyuki Shimada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430, Morioka-cho, Obu, Obu, Aichi 474-8511, Japan
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Feng Z, Ma Z, Hu W, He Q, Li T, Chu J, Chen X, Han Q, Sun N, Shen Y. Bidirectional Association Between Multimorbidity and Frailty and the Role of Depression in Older Europeans. J Gerontol A Biol Sci Med Sci 2023; 78:2162-2169. [PMID: 37487182 PMCID: PMC11009466 DOI: 10.1093/gerona/glad178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Although previous studies have reported an association between multimorbidity and frailty, its direction and mechanism remain unclear. This study aimed to investigate the direction of this association, as well as the role of depression among older Europeans. METHODS We used a cross-lagged panel design to evaluate the temporal relationship between multimorbidity and frailty and the role of depression. Multimorbidity status was assessed by the self-reporting of 14 chronic diseases. Frailty was assessed based on the frailty phenotype. The European-Depression Scale (EURO-D) was used to assess depression. RESULTS There was a bidirectional relationship between frailty and multimorbidity. More severe multimorbidity predicted greater frailty (β = 0.159; p < .001) and vice versa (β = 0.107; p < .001). All paths from multimorbidity to frailty were stronger than the paths from frailty to multimorbidity (b1-a1: β = 0.051; p < .001). Likewise, early multimorbidity change was a significant predictive factor for late frailty change (β = 0.064; p < .001) and vice versa (β = 0.048; p < .001). Depression in Wave 5 (T5) mediated the association between frailty in Wave 4 (T4) and multimorbidity in Wave 6 (T6; indirect effect: β = 0.004; bootstrap 95% confidence interval: 0.003, 0.006). CONCLUSIONS A positive, bidirectional association was observed between multimorbidity and frailty. Depression may be a potential cause of an increased risk of multimorbidity later in life in frail older adults. Early monitoring of frailty and depression may slow the progression of multimorbidity, thereby interrupting the vicious cycle.
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Affiliation(s)
- Zhaolong Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Ze Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Wei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Qida He
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Tongxing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Jiadong Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Xuanli Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Qiang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Na Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Yueping Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China
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Qin F, Guo Y, Ruan Y, Huang Z, Sun S, Gao S, Ye J, Wu F. Frailty and risk of adverse outcomes among community-dwelling older adults in China: a comparison of four different frailty scales. Front Public Health 2023; 11:1154809. [PMID: 37234757 PMCID: PMC10206323 DOI: 10.3389/fpubh.2023.1154809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/17/2023] [Indexed: 05/28/2023] Open
Abstract
Background Data on which frailty scales are most suitable for estimating risk in Chinese community populations remain limited. Herein we examined and compared four commonly used frailty scales in predicting adverse outcomes in a large population-based cohort of Chinese older adults. Methods A total of 5402 subjects (mean age 66.3 ± 9.6 years, 46.6% male) from the WHO Study on global AGEing and adult health (SAGE) in Shanghai were studied. Frailty was measured using a 35-item frailty index (FI), the frailty phenotype (FP), FRAIL, and Tilburg Frailty Indicator (TFI). Multivariate logistic regression models were performed to evaluate the independent association between frailty and outcomes including 4-year disability, hospitalization, and 4- and 7-year all-cause mortality. The accuracy for predicting these outcomes was determined by evaluating the area under the curve (AUC). The prevalence of frailty, sensitivity, and specificity were calculated using our proposed cut-off points and other different values. Results Prevalence of frailty ranged from 4.2% (FRAIL) to 16.9% (FI). FI, FRAIL and TFI were comparably associated with 4-year hospitalization, and 4- and 7-year mortality (adjusted odds ratios [aORs] 1.44-1.69, 1.91-2.22 and 1.85-2.88, respectively). FRAIL conferred the greatest risk of 4-year disability, followed by FI and TFI (aOR 5.55, 3.50, and 1.91, respectively). FP only independently predicted 4- and 7-year mortality (aOR 1.57 and 2.21, respectively). AUC comparisons showed that FI, followed by TFI and FRAIL, exhibited acceptable predictive accuracy for 4-year disability, 4- and 7-year mortality (AUCs 0.76-0.78, 0.71-0.71, 0.65-0.72, respectively), whereas all scales poorly predicted 4-year hospitalization (AUCs 0.53-0.57). For each scale, while specificity estimates (85.3-97.3%) were high and similar across all outcomes, their sensitivity estimates (6.3-56.8%) were not sufficient yet. Prevalence of frailty, sensitivity, and specificity varied considerably when different cut-off points were used. Conclusion Frailty defined using any of the four scales was associated with an increased risk of adverse outcomes. Although FI, FRAIL and TFI exhibited fair-to-moderate predictive accuracy and high specificity estimates, their sensitivity estimates were not sufficient yet. Overall, FI performed best in estimating risk, while TFI and FRAIL were additionally useful, the latter perhaps being more applicable to Chinese community-dwelling older adults.
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Affiliation(s)
- Fei Qin
- School of Public Health, Fudan University, Shanghai, China
| | - Yanfei Guo
- Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- School of Public Health and Community Medicine, Institution of Medicine, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden
| | - Ye Ruan
- Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zhezhou Huang
- Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Shuangyuan Sun
- Division of Chronic Non-communicable Disease and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Shuna Gao
- Department of Chronic Non-communicable Disease, Shanghai Huangpu Center for Disease Control and Prevention, Shanghai, China
| | - Jinghong Ye
- Department of Chronic Non-communicable Disease, Shanghai Hongkou Center for Disease Control and Prevention, Shanghai, China
| | - Fan Wu
- School of Public Health, Fudan University, Shanghai, China
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Li J, Wu D, Li H, Chen J. Unmet healthcare needs predict frailty onset in the middle-aged and older population in China: A prospective cohort analysis. Front Public Health 2023; 11:1064846. [PMID: 36815170 PMCID: PMC9939901 DOI: 10.3389/fpubh.2023.1064846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/13/2023] [Indexed: 02/09/2023] Open
Abstract
Objectives Older populations have a relatively high prevalence of unmet healthcare needs, which can result in poor health status. Moreover, in the coming century, frailty is expected to become one of the most serious global public health challenges. However, there is a lack of clear evidence proving an association between unmet healthcare needs and frailty. This study aimed to assess whether unmet healthcare needs predict the onset of frailty in China. Methods The association between frailty and unmet healthcare needs was explored by analyzing data from the China Health and Retirement Longitudinal Study (CHARLS) using random-effects logistic regression and Cox regression with time-varying exposure. Results At baseline, 7,719 respondents were included in the analysis. Random-effects logistic regression shows that unmet outpatient healthcare needs were associated with increased risk of both contemporaneous (adjusted OR [aOR], 1.17; 95% CI, 1.02-1.35) and lagged (aOR, 1.24; 95% CI, 1.05-1.45) frailty, as were unmet inpatient needs (contemporaneous: aOR, 1.28; 95% CI, 1.00-1.64; lagged: aOR, 1.55; 95% CI, 1.17-2.06). For respondents not classified as frail at baseline (n = 5,392), Cox regression with time-varying exposure shows significant associations of both unmet outpatient needs (adjusted HR, 1.23; 95% CI, 1.05-1.44) and unmet inpatient needs (adjusted HR, 1.48; 95% CI, 1.11-1.99) with increased risk of developing frailty. Conclusions Reducing unmet healthcare needs would be a valuable intervention to decrease frailty risk and promote healthy aging in middle-aged and older populations. It is urgent and essential that the equity and accessibility of the medical insurance and health delivery systems be strengthened.
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Affiliation(s)
- Jun Li
- Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Huazhong University of Science and Technology, Wuhan, China
| | - Di Wu
- Tongji Medical College, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Huazhong University of Science and Technology, Wuhan, China
| | - Haomiao Li
- School of Political Science and Public Administration, Wuhan University, Wuhan, China,*Correspondence: Haomiao Li ✉
| | - Jiangyun Chen
- School of Health Management, Southern Medical University, Guangzhou, China
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Kaskirbayeva D, West R, Jaafari H, King N, Howdon D, Shuweihdi F, Clegg A, Nikolova S. Progression of frailty as measured by a cumulative deficit index: A systematic review. Ageing Res Rev 2023; 84:101789. [PMID: 36396032 DOI: 10.1016/j.arr.2022.101789] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 11/08/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Frailty is a risk factor for adverse health outcomes. There is a paucity of literature on frailty progression defined by a cumulative deficit model among community dwelling older people. The objective of this review was to synthesise evidence on these changes in health and mortality among community-dwelling older people. METHODS Six databases (Medline, Embase, CINAHL, Cochrane, PsycInfo, Web of Science) and a clinical trials registry were searched in July 2021. The inclusion criteria were studies using a frailty index and providing information on transition between frailty states or to death in community-dwelling older people aged ≥ 50. Exclusion criteria were studies examining specific health conditions, conference abstracts and non-English studies. To standardise the follow-up period and facilitate comparison, we converted the transition probabilities to annual transition rates. RESULTS Two reviewers independently screened 5078 studies and 61 studies were included for analysis. Of these, only three used the same frailty state cut-points to facilitate cross-cohort comparison. This review found that frailty tends to increase with time, people who are frail at baseline have greater likelihood to progress in frailty and die, and the main factor that accelerates frailty progression is age. Other risk factors for progression are having chronic disease, smoking, obesity, low-income or/and low-education levels. A frailty index is an accurate predictor of adverse outcomes and death. DISCUSSION This systematic review demonstrated that worsening in frailty was a common frailty transition, and older people who are frail at baseline are more likely to die. A frailty index has significant power to predict adverse health outcomes. It is a useful tool for within-cohort comparison but there are challenges comparing different cohorts due to dependence of frailty progression on age and differences in how frailty index is defined and measured.
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Affiliation(s)
| | - Robert West
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Hussain Jaafari
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Natalie King
- Academic Unit of Health Economics, University of Leeds, Leeds, UK
| | - Daniel Howdon
- Academic Unit of Health Economics, University of Leeds, Leeds, UK
| | - Farag Shuweihdi
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Andrew Clegg
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
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Li H, Chen J, Su D, Xu X, He R. Is Co-Occurrence of Frailty and Multimorbidity Associated with Increased Risk of Catastrophic Health Expenditure? A Prospective Cohort Analysis in China. Risk Manag Healthc Policy 2023; 16:357-368. [PMID: 36919147 PMCID: PMC10008315 DOI: 10.2147/rmhp.s402025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/11/2023] [Indexed: 03/16/2023] Open
Abstract
Purpose The coexistence of multimorbidity and frailty is more likely to increase the risk of physical limitations, mortality and other adverse health outcomes in older adults than their individual occurrence. However, whether and how this coexistence is associated with catastrophic health expenditure (CHE) has not been well assessed. This study aimed to evaluate the independent and coexisting effects of frailty and multimorbidity on CHE. Participants and Methods A total of 4838 participants obtained from the China Health and Retirement Longitudinal Study (CHARLS) without CHE at baseline (2011) were included in the analytical sample. Marginal structural model (MSM) and time-varying Cox regression model were used to assess the independent and co-occurring impact of frailty and multimorbidity on CHE, respectively. Results Suffering from single chronic disease (HR, 1.26; 95% CI, 1.13-1.40; P < 0.001), multimorbidity (HR, 1.80; 95% CI, 1.63-1.99; P < 0.001) and frailty (HR, 1.32; 95% CI, 1.21-1.45; P < 0.001) were associated with a higher risk of CHE. Frailty co-occurring with a single chronic disease (HR, 1.28; 95% CI, 1.03-1.60; P = 0.027) or multimorbidity (HR, 1.91; 95% CI, 1.56-2.32; P < 0.001), and multimorbidity co-occurring with frailty also increased CHE risk (HR, 1.32; 95% CI, 1.17-1.48; P < 0.001) compared with single frailty or multimorbidity status. Conclusion Preventing, postponing, or reducing frailty, and enhancing standard management of chronic diseases are essential in reducing healthcare costs and preventing families from poverty. More efficient interventions for frailty and multimorbidity are urgently required.
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Affiliation(s)
- Haomiao Li
- School of Political Science and Public Administration, Wuhan University, Wuhan, Hubei, People's Republic of China
| | - Jiangyun Chen
- Institute of Health Management, Southern Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Dai Su
- Department of Health Management and Policy, School of Public Health, Capital Medical University, Beijing, People's Republic of China
| | - Xiwu Xu
- School of Economics and Management, Beijing Jiaotong University, Beijing, People's Republic of China
| | - Ruibo He
- School of Political Science and Public Administration, Wuhan University, Wuhan, Hubei, People's Republic of China.,College of Finance and Public Administration, Hubei University of Economics, Wuhan, Hubei, People's Republic of China
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Galluzzo L, Noale M, Maggi S, Feraldi A, Baldereschi M, Di Carlo A, Onder G. Frailty Prevalence, Incidence, and Association with Incident Disability in the Italian Longitudinal Study on Aging. Gerontology 2023; 69:249-260. [PMID: 35871516 DOI: 10.1159/000525581] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/24/2022] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Data on frailty frequency are heterogeneous and mostly based on cross-sectional studies. Little is known about frailty development and progression over time. Our aim was to conduct a systematic analysis of frailty prevalence and incidence in a large cohort of older adults and to evaluate the association with incident disability, in order to tackle the current paucity and fragmentation of longitudinal data on frailty. METHODS As secondary analysis of the Italian Longitudinal Study on Aging (ILSA) population-based cohort (n = 5,632, 65-84), frailty status was operationalized according to Fried criteria (n = 2,457). Weighted prevalence and incidence rates were calculated at each ILSA wave (T0 1992-1993, T1 1995-1996, T2 2000-2001). The association with incident disability in Activities of Daily Living (ADL) or Instrumental Activities of Daily Living (IADL) was investigated through Cox proportional hazard models, controlling for possible confounders. RESULTS Prevalence of frailty and pre-frailty at baseline (mean age 71.6 years; women 58.9%) were 4.0% (95% confidence interval [CI]: 3.4-4.6) and 44.6% (95% CI: 43.1-46.1), respectively. Incidence rates per 1,000 person-years for the T0-T1 interval were 7.3 (95% CI: 5.2-9.3) for frailty and 83.7 (95% CI: 73.6-93.8) for pre-frailty. Prevalence and incidence of frailty, and to a lesser degree of pre-frailty, were overall higher for women and increased with age, yet no increasing trend with advancing age was detected for pre-frailty incidence. Frailty incidence rates were significantly higher among pre-frail than non-frail individuals at follow-up entry. After full adjustment, being frail markedly increased the risk of incident disability in ADL (hazard ratio [HR] 3.58, 95% CI: 1.97-6.52) and IADL (HR 2.56, 95% CI: 1.58-4.16) over a 4-year period. DISCUSSION/CONCLUSION According to our findings, frailty is common among older people and is a strong and independent predictor of disability. Further research on factors and characteristics related to frailty progression, and especially remission, over time is crucial to calibrate effective public health preventive measures.
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Affiliation(s)
- Lucia Galluzzo
- Department of Cardiovascular, Endocrine-Metabolic Diseases, and Aging, Istituto Superiore di Sanità (ISS), Rome, Italy
| | - Marianna Noale
- Neuroscience Institute, Aging Branch, National Research Council (CNR), Padua, Italy
| | - Stefania Maggi
- Neuroscience Institute, Aging Branch, National Research Council (CNR), Padua, Italy
| | | | - Marzia Baldereschi
- Institute of Neuroscience, National Research Council (CNR), Florence, Italy
| | - Antonio Di Carlo
- Institute of Neuroscience, National Research Council (CNR), Florence, Italy
| | - Graziano Onder
- Department of Cardiovascular, Endocrine-Metabolic Diseases, and Aging, Istituto Superiore di Sanità (ISS), Rome, Italy
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Xu X, Chen J, Ji S, Gu Z, Chen M, Chhetri JK, Chan P. Association between postural tremor and risk of disability in community‐dwelling older people. J Am Geriatr Soc 2022; 71:1220-1227. [PMID: 36462179 DOI: 10.1111/jgs.18139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 10/05/2022] [Accepted: 10/23/2022] [Indexed: 12/05/2022]
Abstract
BACKGROUND The prevalence of postural tremor increases with age and the tremor has been found to be associated with aging-related physiological decline. However, whether postural tremor in older adults is associated with adverse outcomes such as disability is unclear. This study investigated the association between postural tremor and the risk of disability in activities of daily living (ADL) among community-dwelling older people. METHODS Data were derived from a population-based study of Chinese adults aged ≥55 years. Postural tremor was assessed at baseline using a two-step method (i.e., tremor screening followed by examination of positive cases). ADL disability was determined using an 8-item questionnaire, which covered the mobility and self-care domains of ADL. Participants free of ADL disability at baseline were followed for up to 4 years. RESULTS The prospective analyses included 5868 participants. Participants with postural tremor were at greater risk of incident ADL disability, particularly disability in the mobility domain of ADL. After multivariate adjustment, postural tremor was not significantly associated with incident ADL disability (multivariate-adjusted relative risk [RR] = 1.05, 95% confidence interval [CI] = 0.77-1.43), and was marginally associated with incident disability in the mobility domain of ADL (multivariate-adjusted RR = 1.36, 95% CI = 0.98-1.88). The risk of mobility-related ADL disability was significantly increased among men, but not women, with postural tremor (multivariate-adjusted RR = 1.84, 95% CI = 1.11-3.05). Older age and an increased number of chronic comorbidities mainly explained the higher risk of ADL disability in older people with postural tremor. CONCLUSIONS Postural tremor in older adults is associated with greater incidence of ADL disability, particularly mobility-related ADL disability. The association is largely due to older age and a higher prevalence of chronic comorbidities in older people with postural tremor. Postural tremor is not a strong independent predictor of ADL disability in older people.
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Affiliation(s)
- Xitong Xu
- Department of Neurology, Geriatrics, and Neurobiology National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University Beijing China
| | - Jie Chen
- Department of Neurology, Geriatrics, and Neurobiology National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University Beijing China
| | - Shaozhen Ji
- Department of Neurology, Geriatrics, and Neurobiology National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University Beijing China
| | - Zhuqin Gu
- Department of Neurology, Geriatrics, and Neurobiology National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University Beijing China
- Clinical Center for Parkinson's Disease Capital Medical University, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease Beijing China
| | - Meijie Chen
- Department of Neurology, Geriatrics, and Neurobiology National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University Beijing China
| | - Jagadish Kumar Chhetri
- Department of Neurology, Geriatrics, and Neurobiology National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University Beijing China
| | - Piu Chan
- Department of Neurology, Geriatrics, and Neurobiology National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University Beijing China
- Clinical Center for Parkinson's Disease Capital Medical University, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease Beijing China
- Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders Capital Medical University Beijing China
- Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing China
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14
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Han C, An J, Chan P. Effects of cognitive ageing trajectories on multiple adverse outcomes among Chinese community-dwelling elderly population. BMC Geriatr 2022; 22:692. [PMID: 35996087 PMCID: PMC9396872 DOI: 10.1186/s12877-022-03387-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/02/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Whether cognitive ageing trajectory is related to common functional deficits independent of initial cognitive function remains inconclusive. We aimed to explore the adverse health effect and potential predictive factors of distinct cognitive trajectories among Chinese older adults. METHODS Three thousand five hundred eighty-one community-dwelling older adults who completed three consecutive cognitive function examinations with the Mini-Mental State Examination (MMSE) over 5 years and were without cognitive impairment at enrollment were included. A group-based trajectory model was used to estimate cognitive ageing trajectories. Multivariable-adjusted odds ratio (OR) and 95% confidence intervals (CI) were computed with logistic regression models to identify potential baseline determinants and health effect of cognitive trajectories on various adverse outcomes. RESULTS Two distinct cognitive ageing trajectories were identified with about 5.3% of the study participants ascribed to the rapidly decreasing group. Subjects with rapidly decreasing cognition showed significantly higher odds (OR, 95%CI) of experiencing frailty (4.04, 2.77-5.86), falls (2.01, 1.05-3.70), balance impairment (4.20, 2.75-6.38), high fall risk (5.66, 2.67-11.77) based on the Tinetti total score, disability in activities of daily living (1.76, 1.19-2.56), disability in instrumental activities of daily living (1.52, 1.05-2.19), and motor cognitive risk syndrome (2.24, 1.23-3.98) compared with their steadily decreasing counterparts. Individuals with older age, low education level, no marriage, high score of rapid eye movement behavior disorders, poor physical and cognitive function at baseline were more predisposed to an accelerated cognitive decline. CONCLUSIONS Faster cognitive decline was independently associated with higher risk of multiple adverse events. Our findings put more emphasis on a routine and constant surveillance of cognitive function among community-dwelling older adults.
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Affiliation(s)
- Chao Han
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jing An
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Piu Chan
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China. .,Department of Neurobiology, Neurology and Geriatrics, Beijing Institute of Geriatrics, Clinical Center for Parkinson's Disease, Key Laboratories for Neurodegenerative Diseases of the Ministry of Education; Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Advanced Innovative Center for Human Brain Protection, Xuanwu Hospital of Capital Medical University, 45 Changchun Road, Beijing, 100053, China.
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Lin H, Wang D, Ma S, Suo Y, Zhou P, Zhao Q, Liu J, Ding G. Frailty's Prevalence and the Association with Aging-Related Health Conditions in Chinese Community Dwelling Elderly. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:1748162. [PMID: 36017459 PMCID: PMC9398729 DOI: 10.1155/2022/1748162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/05/2022] [Accepted: 06/22/2022] [Indexed: 12/01/2022]
Abstract
In this paper, we have investigated the frailty's prevalence and the association with aging-related health conditions in Chinese community dwelling elderly aged ≥60 years in Lianyungang City of China. In this regard, participants were 1,072 adults aged ≥60 years from Houhe Community of Lianyungang City of China. All the enrolled participants were tested for following parameters: (1) the related risk factors of frailty: including economic status, personal health, understanding and communication skills, and mental and psychological status; (2) aging-related health conditions related to frailty: Charlson's comorbidity index (CCI), Mini Nutritional Assessment Short Form (MNA-SF), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder 7-item (GAD-7); (3) body composition, physical strength, and function testing: appendicular skeletal muscle mass index (ASMI), grip strength, five-repetition sit-to-stand test, 6 m walking speed, and strength assistance rise-climb-fall (SARC-F); (4) assessment of the degree and severity of frailty: physical frailty phenotype (PFP), Morse fall scale (MFS), and activities of daily living (ADL). The frailty's prevalence among the elderly aged ≥60 years in the community of Lianyungang City was 13.8%, 55.4% were prefrail, and 30.8% were robust. The independent risk factors of frailty were age, appendicular skeletal muscle mass index, sarcopenia, education, nutrition, and strength assistance rise-climb-fall (P < 0.05). Aging-related health conditions were associated with frailty, including sarcopenia, nutrition, and falls. However, mental and psychological statuses were not significantly associated with frailty.
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Affiliation(s)
- Hongxiao Lin
- Department of Geratology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China
- Department of Osteoporosis, The First Affiliated Hospital of Kangda College of Nanjing Medical University, 6 Zhenhua East Road, Lianyungang 222000, China
- Department of Osteoporosis, The Affiliated Lianyungang Hospital of Xuzhou Medical University, 6 Zhenhua East Road, Lianyungang 222000, China
| | - Dongyan Wang
- Department of Osteoporosis, The First Affiliated Hospital of Kangda College of Nanjing Medical University, 6 Zhenhua East Road, Lianyungang 222000, China
- Department of Osteoporosis, The Affiliated Lianyungang Hospital of Xuzhou Medical University, 6 Zhenhua East Road, Lianyungang 222000, China
| | - Shanjun Ma
- Department of Geratology, Xinpu Community Health Service Center, 146 Nanji North Road, Lianyungang 222000, China
| | - Yan Suo
- Department of Geratology, Xinpu Community Health Service Center, 146 Nanji North Road, Lianyungang 222000, China
| | - Peng Zhou
- Department of Geratology, Xinpu Community Health Service Center, 146 Nanji North Road, Lianyungang 222000, China
| | - Qing Zhao
- Department of Geratology, Xinpu Community Health Service Center, 146 Nanji North Road, Lianyungang 222000, China
| | - Juan Liu
- Department of Geratology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China
| | - Guoxian Ding
- Department of Geratology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China
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Liu X, Dai G, He Q, Ma H, Hu H. Frailty Index and Cardiovascular Disease among Middle-Aged and Older Chinese Adults: A Nationally Representative Cross-Sectional and Follow-Up Study. J Cardiovasc Dev Dis 2022; 9:jcdd9070228. [PMID: 35877590 PMCID: PMC9319589 DOI: 10.3390/jcdd9070228] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 12/30/2022] Open
Abstract
Evidence for the association between the frailty index and cardiovascular disease (CVD) is inconclusive, and this association has not been evaluated in Chinese adults. We aim to examine the association between the frailty index and CVD among middle-aged and older Chinese adults. We conducted cross-sectional and cohort analyses using nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS). From 2011 to 2018, 17,708 participants aged 45 years and older were included in the CHARLS. The primary outcome was CVD events (composite of heart disease and stroke). Multivariable adjusted logistic regression and Cox proportional hazards models were used to estimate the association between the frailty index and CVD in cross-sectional and follow-up studies, respectively. A restricted cubic spline model was used to characterize dose−response relationships. A total of 16,293 and 13,580 participants aged 45 years and older were included in the cross-sectional and cohort analyses, respectively. In the cross-sectional study, the prevalence of CVD in robust, pre-frailty and frailty was 7.83%, 18.70% and 32.39%, respectively. After multivariable adjustment, pre-frailty and frailty were associated with CVD; ORs were 2.54 (95% confidence interval [CI], 2.28−2.84) and 4.76 (95% CI, 4.10−5.52), respectively. During the 7 years of follow-up, 2122 participants without previous CVD developed incident CVD; pre-frailty and frailty were associated with increased risk of CVD events; HRs were 1.53 (95% CI, 1.39−1.68) and 2.17 (95% CI, 1.88−2.50), respectively. Furthermore, a stronger association of the frailty index with CVD was observed in participants aged <55, men, rural community-dwellers, BMI ≥ 25, without hypertension, diabetes or dyslipidemia. A clear nonlinear dose−response pattern between the frailty index and CVD was widely observed (p < 0.001 for nonlinearity), the frailty index was above 0.08, and the hazard ratio per standard deviation was 1.18 (95% CI 1.13−1.25). We observed the association between the frailty index and CVD among middle-aged and elderly adults in China, independent of chronological age and other CVD risk factors. Our findings are important for prevention strategies aimed at reducing the growing burden of CVD in older adults.
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Marchiori GF, dos Santos Tavares DM, Martins SPV, Dias CC, Fernandes LPNS. Frailty syndrome among older adults after hospitalization: A structural equation modeling analysis. Appl Nurs Res 2022; 67:151601. [DOI: 10.1016/j.apnr.2022.151601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 04/10/2022] [Accepted: 05/24/2022] [Indexed: 12/01/2022]
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Prevalence of Undernutrition, Frailty and Sarcopenia in Community-Dwelling People Aged 50 Years and Above: Systematic Review and Meta-Analysis. Nutrients 2022; 14:nu14081537. [PMID: 35458101 PMCID: PMC9032775 DOI: 10.3390/nu14081537] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/22/2022] [Accepted: 03/28/2022] [Indexed: 02/04/2023] Open
Abstract
The world’s population aged ≥65 is expected to rise from one in eleven in 2019 to one in six by 2050. People aged ≥65 are at a risk of undernutrition, frailty, and sarcopenia. The association between these conditions is investigated in a hospital setting. However, there is little understanding about the overlap and adverse health outcomes of these conditions in community-dwelling people. This systematic review aims to quantify the reported prevalence and incidence of undernutrition, frailty, and sarcopenia among older people aged ≥50 living in community dwellings. Searches were conducted using six databases (AMED, CENTRAL, EMBASE, Web of Science, MEDLINE, and CINAHL), and 37 studies were included. Meta-analyses produced weighted combined estimates of prevalence for each condition (Metaprop, Stata V16/MP). The combined undernutrition prevalence was 17% (95% CI 0.01, 0.46, studies n = 5; participants = 4214), frailty was 13% (95% CI 0.11, 0.17 studies n = 28; participants = 95,036), and sarcopenia was 14% (95% CI 0.09, 0.20, studies n = 9; participants = 7656). Four studies reported incidence rates, of which three included data on frailty. Nearly one in five of those aged ≥50 was considered either undernourished, frail, or sarcopenic, with a higher occurrence in women, which may reflect a longer life expectancy generally observed in females. Few studies measured incidence rates. Further work is required to understand population characteristics with these conditions and the overlap between them. PROSPERO registration No. CRD42019153806.
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Srivastava S, Muhammad T. Socioeconomic vulnerability and frailty among community-dwelling older adults: cross-sectional findings from longitudinal aging study in India, 2017-18. BMC Geriatr 2022; 22:201. [PMID: 35287595 PMCID: PMC8919576 DOI: 10.1186/s12877-022-02891-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 02/23/2022] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION The Indian population is rapidly aging with huge proportion of illiterate and socioeconomically disadvantaged people and there is a dearth of research on the relationships between factors of socioeconomic vulnerability and frailty in older people. The present study examined the cross-sectional associations between socioeconomic vulnerability and physical frailty in community-dwelling older individuals in India. MATERIALS AND METHODS The data for the study were obtained from the Longitudinal Aging Study in India (LASI), which was conducted in 2017-18. The effective sample size was 14,652 older males and 15,899 older females aged 60 and over. The outcome variable was physical frailty phenotype measured from exhaustion, unintentional weight loss, weak grip strength, low physical activity, and slow walking time. The main explanatory variable was vulnerability status based on education, wealth and caste. The study carried out bivariate analysis to observe the association between vulnerability status and physical frailty. Further, multivariable binary logistic regression analysis was conducted to fulfil the objective of the study. RESULTS A proportion of 10.5 and 14.4% of older males and females respectively were in the overall vulnerable category. The prevalence of physical frailty was high among older males from vulnerable population (31.4% vs 26.9%; p < 0.001). The adjusted estimates from multivariate analysis revealed that older adults from vulnerable category had 14% significantly higher odds of being frail in comparison to non-vulnerable category [AOR: 1.14; CI: 1.06,1.24]. The adjusted model further revealed that there were no significant gender differentials in physical frailty among older adults. Model-3 (adjusted model) revealed that older males and females from vulnerable population had 18% [AOR: 1.18; CI: 1.04,1.34] and 8% [AOR: 1.08; CI: 1.01,1.21] significantly higher odds of being physically frail in comparison to older males from non-vulnerable population respectively. CONCLUSIONS Adverse socioeconomic circumstances such as low education, lower wealth and caste status that are associated with increased prevalence of physical frailty raise urgent questions both for public health practitioners and clinicians. The current findings may help to adapt public policies focusing on screening physical frailty in the clinical settings, especially among vulnerable populations as a marker of a possibly reversible vulnerability to adverse outcomes in old age.
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Affiliation(s)
- Shobhit Srivastava
- International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India
| | - T Muhammad
- International Institute for Population Sciences, Mumbai, Maharashtra, 400088, India.
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Xue H, Huang C, Zhu Q, Zhou S, Ji Y, Ding X, Zhang D, Gu D. Relationships Among Cognitive Function, Frailty, and Health Outcome in Community-Dwelling Older Adults. Front Aging Neurosci 2022; 13:790251. [PMID: 35126090 PMCID: PMC8814599 DOI: 10.3389/fnagi.2021.790251] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/27/2021] [Indexed: 02/04/2023] Open
Abstract
Background Frailty and cognitive impairment are significant problems faced by older adults, which have a significant impact on their activities of daily living, social activities, and quality of life. Design Cross-sectional study. Methods A total of 252 older adults in two communities in Yangzhou were randomly selected. The cognitive function of the elderly was assessed using the Memory and Executive Screening (MES). The frailty phenotype was used to evaluate the frail situation of older adults. The activity of daily living (ADL), functional activities questionnaire (FAQ), and European quality of 5-dimensions (EQ-5D) were used to evaluate health outcomes in the elderly. SEM was used to explore the direct and indirect relationship among cognitive function, frailty and health outcomes. Results There was a significant direct correlation between cognitive function and frailty; the direct effect was −0.521. The influence path of cognitive function on health outcomes included direct and indirect effects; the total effect was −0.759. The effect of frailty on health outcomes included direct and indirect effects; the total effect was 0.440. Conclusion According to SEM, cognitive function interacts with frailty and may reduce the quality of life, the ADL, and social activities among older adults directly and indirectly, so future assessments of older adults should consider both cognitive function and frailty, so as to further improve the health outcome of the elderly. When formulating relevant intervention measures in the future, we need to consider that it cannot only improve the cognitive function, but also improve the frail situation, so as to jointly improve the health outcomes of older adults.
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Affiliation(s)
- Huiping Xue
- Emergency Intensive Care Unit, Affiliated Hospital of Nantong University, Nantong, China
| | - Chunxia Huang
- Nursing Department, Affiliated Hospital of Nantong University, Nantong, China
| | - Qin Zhu
- Emergency Intensive Care Unit, Affiliated Hospital of Nantong University, Nantong, China
| | - Shuixin Zhou
- Emergency Intensive Care Unit, Affiliated Hospital of Nantong University, Nantong, China
| | - Yunlan Ji
- Emergency Intensive Care Unit, Affiliated Hospital of Nantong University, Nantong, China
| | - Xiaohui Ding
- Emergency Intensive Care Unit, Affiliated Hospital of Nantong University, Nantong, China
| | - Dandan Zhang
- Emergency Intensive Care Unit, Affiliated Hospital of Nantong University, Nantong, China
| | - Dongmei Gu
- Nursing Department, Affiliated Hospital of Nantong University, Nantong, China
- *Correspondence: Dongmei Gu,
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21
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Calcaterra L, Proietti M, Saporiti E, Nunziata V, Rolland Y, Vellas B, Cesari M. Predictors of drug prescription in nursing home residents: results from the INCUR study. Intern Emerg Med 2022; 17:165-171. [PMID: 34546497 PMCID: PMC8841335 DOI: 10.1007/s11739-021-02841-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/04/2021] [Indexed: 12/26/2022]
Abstract
Polypharmacy represents a major clinical and public health issue in older persons. We aimed to measure the prevalence of polypharmacy, and the main predictors of drug prescription in nursing home residents. Post hoc analyses of the "Incidence of pNeumonia and related ConseqUences in nursing home Residents" (INCUR) study were conducted. Polypharmacy was defined as the prescription of 5 or more drugs. A frailty index (FI) was computed according to the model proposed by Rockwood and Mitnitski using 36 health deficits, including diseases, signs, symptoms, and disabilities. Linear regression models were performed to identify the main predictors of the number of prescribed drugs. The INCUR study enrolled 800 patients (mean [SD] age 86.2 [4.1] years, 74.1% women). The mean number of medications prescribed at the baseline was 8.5 (SD 4.1). Prevalence of polypharmacy was found 86.4%. The mean FI was 0.38 (SD 0.10). A fully adjusted linear multivariate regression model found an inverse and independent association between age and number of prescribed drugs (beta - 0.07, 95% CI - 0.13, - 0.02; p = 0.005). Conversely, the FI was independently and positively associated with the number of medications (beta 4.73, 95% CI 1.17, 8.29; p = 0.009). The prevalence of polypharmacy is high among older persons living in nursing home. Age and FI are significantly associated with the number of drugs. The number of prescribed drugs tends to decrease with age, whereas a direct association with frailty is reported.
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Affiliation(s)
- Laura Calcaterra
- Geriatric Specialty Training School, University of Milan, Milan, Italy
| | - Marco Proietti
- Geriatric Unit, Fondazione IRCCS Istituti Clinici Scientifici Maugeri, Via Camaldoli 64, 20138, Milan, Italy.
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool Heart and Chest Hospital, Liverpool, UK.
| | - Edoardo Saporiti
- Geriatric Specialty Training School, University of Milan, Milan, Italy
| | - Vanessa Nunziata
- Geriatria, Accettazione geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy
| | - Yves Rolland
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France
| | - Bruno Vellas
- Gérontopôle de Toulouse, Institut du Vieillissement, Centre Hospitalo-Universitaire de Toulouse, Toulouse, France
- UMR INSERM, Toulouse, France
| | - Matteo Cesari
- Geriatric Unit, Fondazione IRCCS Istituti Clinici Scientifici Maugeri, Via Camaldoli 64, 20138, Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
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22
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Han C, An J, Chan P. The influence of probable rapid eye movement sleep behavior disorder and sleep insufficiency on fall risk in a community-dwelling elderly population. BMC Geriatr 2021; 21:606. [PMID: 34702166 PMCID: PMC8549138 DOI: 10.1186/s12877-021-02513-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/29/2021] [Indexed: 12/01/2022] Open
Abstract
Background The objective was to investigate the individual effect and potential interactions of probable rapid eye movement sleep behavior disorder (pRBD) and sleep insufficiency on fall risk among a Chinese elderly population. Methods Community-dwelling population aged 55 years or above were recruited from the Beijing Longitudinal Study on Aging II cohort from 2010 to 2011. Odds ratio (ORs) and 95% confidence intervals (CIs) were estimated using multivariate logistic regression models. Multiplicative and additive interactions between pRBD and sleep insufficiency were examined using likelihood ratio tests and relative excess risk due to interaction (RERI), respectively. Results Among 6891 included participants, 479 experienced at least once fall. pRBD and sleep insufficiency were both independently associated with elevated fall risk. Compared to the elderly without pRBD or sleep insufficiency, pRBD and sleep insufficiency was each associated with a 2.57-fold (OR = 2.57, 95%CI: 1.46–4.31) and 1.45-fold (OR = 1.45, 95%CI: 1.11–1.88) risk of falls individually, while their coexistence was associated with a less-than-additive 17% (OR = 1.17, 95%CI: 0.43–2.63) increased risk of falls. The combination of these two factors demonstrated evidence of a negative interaction on both multiplicative (ratio of ORs = 0.31, 95%CI: 0.10, 0.86) and additive (RERI = − 1.85, 95%CI: − 3.61, − 0.09) scale. Conclusions Our study has provided robust evidence for the adverse effect of pRBD and sleep insufficiency, as well as their negative interaction on increasing fall risk in a Chinese elderly population. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02513-2.
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Affiliation(s)
- Chao Han
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jing An
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Piu Chan
- National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China. .,Department of Neurobiology, Neurology and Geriatrics, Clinical Center for Parkinson's Disease, Key Laboratories for Neurodegenerative Diseases of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Advanced Innovative Center for Human Brain Protection, Beijing Institute of Geriatrics, Parkinson Disease Center of Beijing Institute for Brain Disorders, Xuanwu Hospital of Capital Medical University, 45 Changchun Road, Beijing, 100053, China.
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Zhao J, Chhetri JK, Chang Y, Zheng Z, Ma L, Chan P. Intrinsic Capacity vs. Multimorbidity: A Function-Centered Construct Predicts Disability Better Than a Disease-Based Approach in a Community-Dwelling Older Population Cohort. Front Med (Lausanne) 2021; 8:753295. [PMID: 34651003 PMCID: PMC8505775 DOI: 10.3389/fmed.2021.753295] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 08/30/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: This study aimed to assess the status of intrinsic capacity (IC)—a novel function-centered construct proposed by the WHO and examine whether impairment in IC predicts subsequent 1-year activities of daily living (ADL) disability better than a disease-based approach, i. e., multimorbidity status. Methods: This study included data of community-dwelling older adults from the Beijing Longitudinal Study on Aging II aged 65 years or older who were followed up at 1 year. Multivariate logistic regressions were performed to estimate the odds of ADL disability at baseline and 1-year follow-up. Results: A total of 7,298 older participants aged 65 years or older were included in the current study. About 4,742 older adults were followed up at 1 year. At baseline, subjects with a higher impairment in IC domains showed higher odds of ADL disability [adj. odds ratio (OR) = 9.51 for impairment in ≥3 domains, area under the curve (AUC) = 0.751] compared to much lower odds of ADL disability in subjects with a higher number (≥3) of chronic diseases (adj. OR 3.92, AUC = 0.712). At 1-year follow-up, the overall incidence of ADL disability increased with the impairment in IC domains higher than the increase in multimorbidity status. A higher impairment in IC domains showed higher odds of incidence ADL disability for impairment in 2 or ≥3 IC domains (adj. OR 2.32 for impairment in ≥3 domains, adj. OR 1.43 for impairment in two domains, AUC = 0.685). Only subjects who had ≥3 chronic diseases had higher odds of 1-year incident ADL disability (adj. OR 1.73, AUC = 0.681) that was statistically significant. Conclusion: Our results imply that a function-centered construct could have higher predictability of disability compared to the multimorbidity status in community older people. Our results need to be confirmed by studies with longer follow-up.
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Affiliation(s)
- Jing Zhao
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Jagadish K Chhetri
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yi Chang
- Department of Respiration, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Zheng Zheng
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Lina Ma
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Piu Chan
- Department of Geriatrics, Neurology and Neurobiology, National Clinical Research Center for Geriatric Disease, Xuanwu Hospital of Capital Medical University, Beijing, China.,Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing, China.,Clinical Center for Parkinson's Disease, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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Abstract
Frailty is an important clinical syndrome of age-related decline in physiologic reserve and increased vulnerability. In older adults, frailty leads to progressive multisystem decline and increased adverse clinical outcomes. The pathophysiology of frailty is hypothesized to be driven by dysregulation of neuroendocrine, inflammatory, and metabolic pathways. Sex-specific differences in the prevalence of frailty have been observed. Treatment interventions of geriatric care can be applied to the care of frail older women with these differences in mind. As additional evidence regarding sex-specific differences in frailty emerges, research efforts should encompass the development of screening tools and therapeutic interventions that optimize outcomes.
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Affiliation(s)
- Caroline Park
- Section of Geriatrics, Division of Primary Care & Population Health, Stanford School of Medicine, Stanford Senior Care, 211 Quarry Road. Suite 4C, Palo Alto, CA 94304, USA
| | - Fred C Ko
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1070, New York, NY 10029, USA; Geriatric Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, USA.
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25
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Liu H, Jiao J, Zhu M, Wu X, Chen W. Comment on Zhao et al. (2020) "Cross-cultural adaptation and validation of the FRAIL-NH scale for Chinese nursing home residents: A methodological and cross-sectional study". Int J Nurs Stud 2021; 128:104097. [PMID: 34649713 DOI: 10.1016/j.ijnurstu.2021.104097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/22/2021] [Accepted: 09/24/2021] [Indexed: 10/20/2022]
Affiliation(s)
- Hongpeng Liu
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China.
| | - Jing Jiao
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China.
| | - Minglei Zhu
- Department of Geriatrics, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China
| | - Xinjuan Wu
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China.
| | - Wei Chen
- Department of Clinical Nutrition, Department of Health Medicine, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China; Beijing Key Laboratory of the Innovative Development of Functional Staple and the Nutritional Intervention for Chronic Disease, Building 6, No. 24 Courtyard, Jiuxianqiao Middle Road, Chaoyang District, Beijing 100015, China.
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Wang HY, Lv X, Du J, Kong G, Zhang L. Age- and Gender-Specific Prevalence of Frailty and Its Outcomes in the Longevous Population: The Chinese Longitudinal Healthy Longevity Study. Front Med (Lausanne) 2021; 8:719806. [PMID: 34409056 PMCID: PMC8365226 DOI: 10.3389/fmed.2021.719806] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 07/08/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Frailty is an epidemic age-related syndrome addressing heavy burden to the healthcare system. Subject to the rarity, age-, and gender-specific prevalence of frailty and its prognosis among the longevous population remains under-investigated. Methods: Based on the Chinese Longitudinal Healthy Longevity Study (CLHLS, 2008–2018), individuals aged ≥ 65 years having complete data of frailty were recruited. Modified Fried criteria (exhaustion, shrink, weakness, low mobility, and inactivity) were adopted to define pre-frailty (1–2 domains) and frailty (≥3 domains), respectively. The association between pre-frailty/frailty and adverse outcomes (frequent hospitalization, limited physical performance, cognitive decline, multimorbidity, and dependence) was analyzed using logistic regression models. The association between pre-frailty/frailty and mortality was analyzed using Cox proportional hazards models. Age- and gender-stratified analyses were performed. Results: Totally, 13,859 participants aged 85.8 ± 11.1 years, including 2,056 centenarians, were recruited. The overall prevalence of pre-frailty and frailty were 54.1 and 26.3%, respectively. Only 5.0% of centenarians were non-frailty whereas 59.9% of the young-old (65–79 years) showed pre-frailty. Both pre-frailty and frailty were associated with the increased risk of multiple adverse outcomes, such as incident limited physical performance, cognitive decline and dependence, respectively (P < 0.05). Frail males were more vulnerable to the risk of mortality (hazard ratio [HR] = 2.3, 95% confidence interval [CI], 2.1–2.6) compared with frail females (HR = 1.9, 95%CI, 1.7–2.1). The strongest association between frailty and mortality was observed among the young-old (HR = 3.6, 95%CI, 2.8–4.5). Exhaustion was the most common domain among patients with pre-frailty (74.8%) or frailty (83.2%), followed by shrink (32.3%) in pre-frailty and low mobility (83.0%) in frailty. Inactivity among females aged 65–79 years showed the strongest association with the risk of mortality (HR = 3.50, 95%CI, 2.52–4.87). Conclusion: A huge gap exists between longer life and healthy aging in China. According to the age- and gender-specific prevalence and prognosis of frailty, the strategy of frailty prevention and intervention should be further individualized.
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Affiliation(s)
- Huai-Yu Wang
- National Institute of Health Data Science, Peking University, Beijing, China.,School of Public Health, Peking University, Beijing, China
| | - Xiaozhen Lv
- Clinical Research Division, Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.,Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Jian Du
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Guilan Kong
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Luxia Zhang
- National Institute of Health Data Science, Peking University, Beijing, China.,Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.,Advanced Institute of Information Technology, Peking University, Hangzhou, China
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Association of Frailty Status and Functional Disability among Community-Dwelling People Aged 80 and Older in Vietnam. BIOMED RESEARCH INTERNATIONAL 2021; 2021:7109452. [PMID: 34337049 PMCID: PMC8313318 DOI: 10.1155/2021/7109452] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 07/09/2021] [Indexed: 11/18/2022]
Abstract
Objectives This study investigated associations between frailty and functional disability in elder suburban Vietnamese. Method Cross-sectional analysis was carried out on 251 participants aged 80 and over in Soc Son district. We used the Instrumental Activities of Daily Living (IADL) scale including 8 items, and functional disability was defined as ≥3 IADL impairment. We defined frail as ≥3 out of 5 frailty components including weight loss > 5%, weak grip, exhaustion, low walking speed, and low physical activity. Results Of 251 participants with a mean age of 84.6, 11.2% was classified as frail and 64.5% had ≥3 IADLs. Among the frailty components, low walking speed and low physical activity were significantly associated with increased odds of having ≥3 IADLs: ORs (95% CI) were 4.2 (2.3-7.9) and 3.7 (1.7-8.2). Conclusion Frailty is associated with the higher likelihood of having functional disability. Further longitudinal studies are needed to examine the causal this relationship.
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Liu H, Jiao J, Zhu M, Wu X, Chen W. Comment on Si et al. (2021) "Predictive performance of 7 frailty instruments for short-term disability, falls and hospitalization among Chinese community-dwelling older adults: A prospective cohort study". Int J Nurs Stud 2021; 128:104038. [PMID: 34384596 DOI: 10.1016/j.ijnurstu.2021.104038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 07/06/2021] [Indexed: 11/24/2022]
Affiliation(s)
- Hongpeng Liu
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China.
| | - Jing Jiao
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China.
| | - Minglei Zhu
- Department of Geriatrics, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China.
| | - Xinjuan Wu
- Department of Nursing, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China.
| | - Wei Chen
- Department of Clinical Nutrition, Department of Health Medicine, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital (Dongdan Campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing 100730, China; Beijing Key Laboratory of the Innovative Development of Functional Staple and the Nutritional Intervention for Chronic Disease, Building 6, No. 24 Courtyard, Jiuxianqiao Middle Road, Chaoyang District, Beijing 100015, China.
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Rath RS, Kumar R, Amarchand R, Gopal GP, Purakayastha DR, Chhokar R, Narayan VV, Dey AB, Krishnan A. Frailty, Disability, and Mortality in a Rural Community-Dwelling Elderly Cohort from Northern India. Indian J Community Med 2021; 46:442-445. [PMID: 34759484 PMCID: PMC8575237 DOI: 10.4103/ijcm.ijcm_616_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 04/05/2021] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION With increasing proportion of the elderly in the world, detecting and preventing frailty assumes importance to improve the quality of life and health. The study aimed to estimate the prevalence of frailty, disability and its determinants and their relation with mortality among community dwelling elderly cohort. MATERIALS AND METHODS The study was conducted in a cohort in rural Haryana, India, and was followed till October 2018. Frailty was assessed using the Edmonton Frailty Scale and disability was assessed using the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) scale by trained physicians. RESULTS The prevalence of frailty was found to be 47.3% (95% confidence interval [CI]: 44.0-50.8). The median WHODAS-2 score was found to be 10.4 (2.1-29.2). Those who were older (odds ratio [OR] - 2.5; 95% CI: 1.8-3.4), women (OR - 3.3; 95% CI: 2.2-4.9) and those with chronic disease (OR 2.3; 95% CI: 1.7-3.1) had higher rates of frailty. The adjusted hazard ratio of death among frail people was 4.7 (2.3-9.7). CONCLUSION In this study we found the frailty is associated with the mortality among community dwelling elderly. Thus early identification of the frailty and its determinants may help us to reduce the mortality related to this.
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Affiliation(s)
- Rama Shankar Rath
- Department of Community Medicine and Family Medicine, All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India
| | - Rakesh Kumar
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Ritvik Amarchand
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Giridara P. Gopal
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Debjani Ram Purakayastha
- Department of Paediatric Biology Centre, Translational Health Science and Technology Institute, Faridabad, Haryana, India
| | - Reshmi Chhokar
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Venkatesh V. Narayan
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - A. B. Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Anand Krishnan
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
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Qin Y, Li J, McPhillips M, Lukkahatai N, Yu F, Li K. Association of fear of falling with frailty in community-dwelling older adults: A cross-sectional study. Nurs Health Sci 2021; 23:516-524. [PMID: 33825287 DOI: 10.1111/nhs.12840] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/23/2021] [Accepted: 04/01/2021] [Indexed: 12/30/2022]
Abstract
This study aimed to describe frailty and fear of falling and examine the cross-sectional association between frailty and fear of falling in community-dwelling older adults in China. We recruited 165 older adults from five selected communities in the five districts of Changchun, Jilin Province. Participants were asked to complete a demographic questionnaire, the Short Falls Efficacy Scale-International, and the Tilburg Frailty Indicator. We found that 60% of our participants were frail and that 81% reported a fear of falling. Using binary logistic regression, we found that the participants with fear of falling were 7.2 times more likely to be frail. These findings suggest that fear of falling should be regularly screened in clinical practice to help identify older adults with greater risks of frailty. Future longitudinal studies of larger sample size are needed to confirm the association. Moreover, frailty prevention programs that include strategies to reduce the fear of falling should be tested among community-dwelling older adults.
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Affiliation(s)
- Yuan Qin
- School of Nursing, Jilin University, Changchun, China
| | - Junxin Li
- Johns Hopkins University School of Nursing, Baltimore, Maryland, USA
| | - Miranda McPhillips
- University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
| | - Nada Lukkahatai
- Johns Hopkins University School of Nursing, Baltimore, Maryland, USA
| | - Fang Yu
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA
| | - Kun Li
- School of Nursing, Jilin University, Changchun, China
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Association of frailty with quality of life in older hypertensive adults: a cross-sectional study. Qual Life Res 2021; 30:2245-2253. [PMID: 33728552 DOI: 10.1007/s11136-021-02816-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/04/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Hypertension is one of the most common chronic cardiovascular diseases in older adults. Frailty and hypertension often coexist in older people, but few studies have explored frailty in older hypertensive adults. We aimed to explore the association of frailty with quality of life in older hypertensive adults. METHOD We collected the data of 291 patients with hypertension aged ≥ 60 years. Blood pressure was measured with a standard aneroid sphygmomanometer and an ambulatory blood pressure monitor. The characteristics of the Fried phenotype were used to assess physical frailty. The Medical Outcomes Study's 36-Item Short Form Health Survey (SF-36) was used to assess the quality of life. RESULTS Forty-eight (16.5%) patients were frail. Compared with pre-frail or robust older hypertensive patients, those who were frail were older, had higher incidences of living alone, a longer duration of hypertension, lower grip strength, and slower walking speed. Moreover, frail patients had a lower diastolic blood pressure (DBP) and mean arterial pressure (MAP), more chronic diseases, a lower proportion of beta-blocker usage, and worse quality of life. Frailty was positively correlated with pulse pressure and negatively correlated with DBP and MAP, but these associations disappeared after adjustment by age. The SF-36 score was negatively correlated with frailty and positively correlated with grip strength and walking speed. After adjusting for age, the SF-36 total score remained negatively correlated with frailty and positively correlated with walking speed. Frailty states remained significantly associated with the SF-36 score. CONCLUSION Frailty was associated with a worse quality of life in older adults with hypertension. Frailty prevention and intervention may help improve the quality of life of older adults with hypertension.
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Abstract
Although geriatric research in general has increased in recent years, there is no effective treatment for frailty. Among older adults, those with frailty have an increased risk of falls, disability, and death. The population of older adults has increased rapidly in China, and resulting in an increased demand for medical care services for older adults, including those with frailty. However, much of the research on frailty has been conducted in Europe and the United States, and European and American standards for frailty are not always applicable to Chinese individuals. Clinicians and researchers in China have shown increasing interest in frailty in recent years. Here, we reviewed the current state of frailty research in China.
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Affiliation(s)
- L Ma
- Dr. Lina Ma, Department of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing 100053, China, E-mail:
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Kim E, Sok SR, Won CW. Factors affecting frailty among community-dwelling older adults: A multi-group path analysis according to nutritional status. Int J Nurs Stud 2020; 115:103850. [PMID: 33418448 DOI: 10.1016/j.ijnurstu.2020.103850] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 10/13/2020] [Accepted: 11/19/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND Frailty is highly prevalent in older adults. Malnutrition is a common problem in older adults and is related to frailty. OBJECTIVES The aim was to investigate a structural frailty model, to verify the factors which affect the frailty of older adults, and to evaluate the moderating effects of nutritional status on frailty through multi-group analysis. DESIGN Secondary analysis as a descriptive survey. SAMPLES Data were prospectively collected from 1,374 older adults (age ≥ 70) from the Korean Frailty and Aging Cohort Study in 2017. METHODS Frailty was measured by the FRAIL scale [robust (score 0), pre-frailty (score 1-2), frailty (score 3-5)], and nutritional status was evaluated by the Mini Nutritional Assessment (MNA) [well-nourished (score ≥ 24), risk of malnutrition (score 17-23.5), malnourished (score < 17)]. Other domains were evaluated with the hand grip strength test, Short Physical Performance Battery (SPPB), short form of the Geriatric Depression Scale (GDS), Mini-Mental State Examination (MMSE), and ENRICHD Social Support Instrument (ESSI). The frailty model was developed by confirming the relationship among the influencing factors of frailty. To evaluate the different frailty pathways according to nutritional status in multi-group analysis, participants were divided into two subgroups according to the mean MNA score. Subgroups were classified into a well-nourished group (n = 851) for scores equal to or higher than the average score, and a malnourished group (n = 523) for scores lower than the average score. The path analysis was performed using the AMOS 23.0 program. RESULTS The frailty model's fit indices were adequate. In the model, the most influential factor for frailty was depression, followed by SPPB, age, polypharmacy, cognitive function, and female sex. In the multi-group analysis according to nutritional status, the malnourished group significantly increased in frailty as SPPB scores decreased. In addition, SPPB scores and cognitive function significantly decreased with increasing age in the malnourished group when compared to the well-nourished group. CONCLUSION Depression, SPPB, age, polypharmacy, cognitive function, and female sex were found to be important factors that affect frailty. Malnourished older adults are more likely to suffer from physical impairment, lower cognitive function, and frailty. Vigorous efforts are needed to improve nutritional status in older adults, which ultimately might improve functional outcomes and frailty.
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Affiliation(s)
- Eunjung Kim
- Nurse, Nutritional Support Team & Department of Nursing, Seoul National University Hospital, Seoul, Republic of Korea.
| | - Sohyune R Sok
- Professor, College of Nursing Science, Kyung Hee University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea.
| | - Chang Won Won
- Professor, Elderly Frailty Research Center, Department of Family Medicine, College of Medicine, Kyung Hee University, 23, Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea.
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Jung H, Kim M, Lee Y, Won CW. Prevalence of Physical Frailty and Its Multidimensional Risk Factors in Korean Community-Dwelling Older Adults: Findings from Korean Frailty and Aging Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17217883. [PMID: 33121159 PMCID: PMC7662797 DOI: 10.3390/ijerph17217883] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/22/2020] [Accepted: 10/24/2020] [Indexed: 02/06/2023]
Abstract
Frailty is defined as a state of increased vulnerability to stressors, and it predicts disability and mortality in the older population. This study aimed to investigate the standardized prevalence and multidimensional risk factors associated with frailty among Korean community-dwelling older adults. We analyzed the baseline data of 2907 adults aged 70-84 years (mean age 75.8 ± 3.9 years, 57.8% women) in the Korean Frailty and Aging Cohort Study. The Fried frailty phenotype was used to define frailty. Analyzed data included sociodemographic, physical, physical function, biological, lifestyle, health condition, medical condition, psychological, and social domains. Data were standardized using the national standard population composition ratio based on the Korean Population and Housing Census. The standardized prevalence of frailty and prefrailty was 7.9% (95% confidence interval (CI) 6.8-8.9%) and 47.0% (95% CI, 45.1-48.8%), respectively. The following 14 risk factors were significantly associated with frailty: at risk of malnutrition, sarcopenia, severe mobility limitation, poor social capital, rural dwellers, depressive symptoms, poor self-perceived health, polypharmacy, elevated high-sensitivity C-reactive protein, elevated glycosylated hemoglobin, low 25-hydroxy vitamin D level, longer Timed Up and Go, and low Short Physical Performance Battery score (p < 0.05). Physiconutritional, psychological, sociodemographic, and medical factors are strongly associated with frailty.
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Affiliation(s)
- Heeeun Jung
- Department of Biomedical Science and Technology, Graduate School, Kyung Hee University, Seoul 02447, Korea;
| | - Miji Kim
- Department of Biomedical Science and Technology, College of Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul 02447, Korea
- Correspondence: (M.K.); (C.W.W.); Tel.: +82-2-958-2840 (M.K.); +82-2-958-8700 (C.W.W.); Fax: +82-2-958-2836 (M.K.); +82-2-958-8699 (C.W.W.)
| | - Yunhwan Lee
- Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon 16499, Korea;
| | - Chang Won Won
- Elderly Frailty Research Center, Department of Family Medicine, College of Medicine, Kyung Hee University, Seoul 02447, Korea
- Correspondence: (M.K.); (C.W.W.); Tel.: +82-2-958-2840 (M.K.); +82-2-958-8700 (C.W.W.); Fax: +82-2-958-2836 (M.K.); +82-2-958-8699 (C.W.W.)
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Mendonça N, Kingston A, Yadegarfar M, Hanson H, Duncan R, Jagger C, Robinson L. Transitions between frailty states in the very old: the influence of socioeconomic status and multi-morbidity in the Newcastle 85+ cohort study. Age Ageing 2020; 49:974-981. [PMID: 32342980 PMCID: PMC7583524 DOI: 10.1093/ageing/afaa054] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Indexed: 11/12/2022] Open
Abstract
Background Using Newcastle 85+ Study data, we investigated transitions between frailty states from age 85 to 90 years and whether multi-morbidities and socioeconomic status (SES) modify transitions. Methods The Newcastle 85+ Study is a prospective, longitudinal cohort study of all people born in 1921 in Newcastle and North Tyneside. Data included: a multidimensional health assessment; general practice record review (GPRR) and date of death. Using the Fried phenotype (participants defined as robust, pre-frail or frail), frailty was measured at baseline, 18, 36 and 60 months. Results Frailty scores were available for 82% (696/845) of participants at baseline. The prevalence of frailty was higher in women (29.7%, 123/414) than men (17.7%, 50/282) at baseline and all subsequent time points. Of those robust at baseline, 44.6% (50/112) remained robust at 18 months and 28% (14/50) at age 90. Most (52%) remained in the same state across consecutive interviews; only 6% of the transitions were recovery (from pre-frail to robust or frail to pre-frail), and none were from frail to robust. Four or more diseases inferred a greater likelihood of progression from robust to pre-frail even after adjustment for SES. SES did not influence the likelihood of moving from one frailty state to another. Conclusions Almost half the time between age 85 and 90, on average, was spent in a pre-frail state; multi-morbidity increased the chance of progression from robust and to frail; greater clinical intervention at the onset of a first chronic illness, to prevent transition to multi-morbidity, should be encouraged.
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Affiliation(s)
- Nuno Mendonça
- Population Health Sciences Institute, Newcastle University, NE2 4AX, UK
- EpiDoC Unit, CHRC, NOVA Medical School, Universidade Nova de Lisboa (NMS-UNL), Lisbon, Portugal
| | - Andrew Kingston
- Population Health Sciences Institute, Newcastle University, NE2 4AX, UK
| | - Mohammad Yadegarfar
- Leeds Institute of Cardiovascular and Metabolic Medicine, Leeds University, UK
| | - Helen Hanson
- Population Health Sciences Institute, Newcastle University, NE2 4AX, UK
- The Newcastle upon Tyne Hospitals NHS Foundation Trust, NE1 4LP, UK
| | - Rachel Duncan
- Population Health Sciences Institute, Newcastle University, NE2 4AX, UK
- The Newcastle upon Tyne Hospitals NHS Foundation Trust, NE1 4LP, UK
| | - Carol Jagger
- Population Health Sciences Institute, Newcastle University, NE2 4AX, UK
| | - Louise Robinson
- Population Health Sciences Institute, Newcastle University, NE2 4AX, UK
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Kojima T, Mizokami F, Akishita M. Geriatric management of older patients with multimorbidity. Geriatr Gerontol Int 2020; 20:1105-1111. [PMID: 33084212 DOI: 10.1111/ggi.14065] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/17/2020] [Accepted: 09/27/2020] [Indexed: 01/08/2023]
Abstract
Older patients tend to have multimorbidity represented by multiple chronic diseases or geriatric conditions due to aging changes of organs, which require a variety of medical management. Currently, there are no sufficient disease treatment guidelines for older people with multimorbidity, therefore physicians have difficulty managing multimorbidity, such as which diseases should be treated intensively or to what extent the conditions should be improved. Furthermore, there are other points to be considered when initiating the treatment of diseases. For example, physicians must assess physical function. Some people have no difficulty with ambulation, but some are bedridden and have difficulty getting up on their own. As there are differences in disease severity, comorbid conditions and life expectancy, there should be differences in deciding treatment and prescribing drugs. It may be necessary to change the option for treatment depending on cognitive function, the living environment and the care environment, using comprehensive geriatric assessments. In addition, when treating multimorbidity, patients tend to have polypharmacy, which is a risk for adverse drug events. Because of this, it is necessary to consider dose reduction and drug discontinuation in patients with polypharmacy. Because of the global increase in older patients with multimorbidity, developing an essential method for managing multimorbidity is an urgent issue. More research and practices are necessary to achieve high-quality care in patients with multimorbidity. Geriatr Gerontol Int 2020; 20: 1105-1111.
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Affiliation(s)
- Taro Kojima
- Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Fumihiro Mizokami
- Department of Pharmacy, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Masahiro Akishita
- Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Zhang H, Gu Z, Yao C, Cai Y, Li Y, Mao W, Xu E, Postuma RB, Chan P. Risk factors for possible REM sleep behavior disorders: A community-based study in Beijing. Neurology 2020; 95:e2214-e2224. [PMID: 32788245 DOI: 10.1212/wnl.0000000000010610] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 05/12/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To explore the risk factors for idiopathic REM sleep behavior disorder (RBD) in a community population in Beijing. METHODS Participants aged 55 years and above were recruited from the Beijing Longitudinal Study on Aging II cohort. We identified individuals with possible RBD (pRBD) using the validated RBD Questionnaire-Hong Kong in 2010. A series of environmental, lifestyle, and other potential risk factors were assessed via standardized questionnaires in 2009. Multivariable logistic regression analysis was performed to investigate the association between the studied factors and pRBD. RESULTS Of 7,225 participants who were free of parkinsonism and dementia, 219 (3.0%) individuals were considered as having pRBD. Participants with pRBD reported more nonmotor and motor symptoms of Parkinson disease (PD) with adjusted odds ratios (ORs) ranging from 1.10 to 4.40. Participants with pRBD were more likely to report a family history of parkinsonism or dementia (OR 3.03, 95% confidence interval [CI] 1.23-7.46). There was a significant association between pRBD and self-reported hyperlipidemia (OR 1.51, 95% CI 1.09-2.10), ever smoking (OR 1.79, 95% CI 1.20-2.65), prior carbon monoxide (CO) poisoning (OR 2.30, 95% CI 1.39-3.83), and nonoccupational exposure to pesticides (OR 2.21, 95% CI 1.40-3.50). CONCLUSION Our study replicated previously reported associations between pRBD and hyperlipidemia, smoking, pesticide exposure, and several prodromal PD symptoms. We also found previously unreported links with a positive family history of parkinsonism or dementia and CO poisoning. Risk factor profiles for pRBD partially resemble those defined for PD, but also differ in distinct ways.
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Affiliation(s)
- Hui Zhang
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada
| | - Zhuqin Gu
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada
| | - Chun Yao
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada
| | - Yanning Cai
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada
| | - Yuan Li
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada
| | - Wei Mao
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada
| | - Erhe Xu
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada
| | - Ronald B Postuma
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada
| | - Piu Chan
- From the Department of Neurology and Neurobiology, National Clinical Research Center for Geriatric Disorders (H.Z.), Department of Neurobiology, Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Y.C.), and Department of Neurology (Y.L., W.M., E.X.), Xuanwu Hospital of Capital Medical University (P.C.); Key Laboratory of Ministry of Education for Neurodegenerative Diseases (Z.G.) and Department of Neurology, Neurobiology, and Geriatrics, National Clinical Research Center for Geriatric Disorders, Clinical and Research Center for Parkinson's Disease (P.C.), Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing Key Laboratory on Parkinson's Disease, China; Integrated Program in Neuroscience (C.Y.), McGill University; and Department of Neurology (R.B.P.), Montreal General Hospital, Canada.
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Zhang J, Xu L, Sun L, Li J, Qin W. Gender difference in the association of frailty and health care utilization among Chinese older adults: results from a population-based study. Aging Clin Exp Res 2020; 32:1985-1991. [PMID: 31745830 DOI: 10.1007/s40520-019-01410-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 11/02/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND Frailty is a public health concern in the ageing population. Little is known about the role of gender in the relationship between frailty and health care utilization in older adults. AIMS The study aims to examine gender differences in the association between different frailty status and health care utilization among Chinese older people. METHODS A total of 7070 older adults (60+) from Shandong Province, China, were enrolled in this study. Frailty was assessed by frailty index constructed using 45 health deficits. Multivariate logistic regression models were employed separately for men and women to examine the impact of frailty on self-care, outpatient, and inpatient utilization. RESULTS Overall, the prevalence of frailty was 7.9% in older adults, with 7.1% and 8.3% in men and women, respectively. 49.4% respondents reported they had self-care in the previous 2 weeks, and women were more likely to have self-care than men. Being pre-frail and frail was significantly associated with utilization of all types of health care among older men and women, and the relationship was stronger in the frail groups than that in the pre-frail groups except for self-care. Respective odds ratios for outpatient utilization were higher in men than that in women. CONCLUSIONS Frailty is a frequent condition in Chinese older adults. The association between frailty and health care utilization (except outpatient) tended to be stronger in women than men. The gender differences should be considered when designing the preventing or delaying the installation of frailty and geriatric care plans.
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Affiliation(s)
- Jiao Zhang
- School of Public Health, Shandong University, Jinan, 250012, China
- NHC, Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, 250012, China
- Shandong University Center for Health Economics Experiment and Public Policy Research, Jinan, 250012, China
| | - Lingzhong Xu
- School of Public Health, Shandong University, Jinan, 250012, China.
- NHC, Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
- Shandong University Center for Health Economics Experiment and Public Policy Research, Jinan, 250012, China.
| | - Long Sun
- School of Public Health, Shandong University, Jinan, 250012, China
- NHC, Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, 250012, China
| | - Jiajia Li
- School of Public Health, Shandong University, Jinan, 250012, China
- NHC, Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, 250012, China
- Shandong University Center for Health Economics Experiment and Public Policy Research, Jinan, 250012, China
| | - Wenzhe Qin
- School of Public Health, Shandong University, Jinan, 250012, China
- NHC, Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, 250012, China
- Shandong University Center for Health Economics Experiment and Public Policy Research, Jinan, 250012, China
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Sardella A, Catalano A, Lenzo V, Bellone F, Corica F, Quattropani MC, Basile G. Association between cognitive reserve dimensions and frailty among older adults: A structured narrative review. Geriatr Gerontol Int 2020; 20:1005-1023. [PMID: 32998186 DOI: 10.1111/ggi.14040] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 08/18/2020] [Accepted: 08/31/2020] [Indexed: 12/20/2022]
Abstract
Frailty is a broadly investigated geriatric condition, which is characterized by an increased vulnerability to stressors. It represents an extremely relevant public health issue, increasingly conceptualized in a multidimensional perspective. The concept of cognitive reserve (CR), as originally conceptualized by Stern, has been developed in the past decades as a potential factor able to determine individual differences in cognitive vulnerability and trajectories occurring with aging. Our purpose was to provide a comprehensive review of the literature exploring the relationship between CR dimensions, selected according to the Stern model, and frailty status. A review of the literature on the association between potential CR dimensions and frailty was carried out through PubMed, Web of Knowledge and Scopus. CR expressed in terms of education, occupation, premorbid intelligence quotient and leisure time activities was associated with frailty in both cross-sectional and longitudinal observations. The majority of reviewed evidence suggests a potential protective role of CR factors against the onset and the worsening of frailty among older adults. To the best of our knowledge, this is the first attempt to provide a comprehensive overview regarding the association between CR dimensions and frailty. Education, occupation, premorbid intelligence quotient and leisure time activities are able to interact with the general concept of frailty, rather than simply affecting the cognitive trajectory towards dementia. The lack of a unique and operationalized approach to the assessment of CR, as well as the wide heterogeneity of frailty evaluation tools and criteria, denote some methodological critical issues that need to be overcome. Geriatr Gerontol Int 2020; 20: 1005-1023..
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Affiliation(s)
- Alberto Sardella
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Antonino Catalano
- School and Unit of Geriatrics, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Vittorio Lenzo
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Federica Bellone
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Francesco Corica
- School and Unit of Geriatrics, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Maria C Quattropani
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Giorgio Basile
- School and Unit of Geriatrics, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
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Kushkestani M, Parvani M, Nosrani SE, Rezaei S. The Physical Activity and Fall Risk Among Iranian Older Male Adults. Open Nurs J 2020. [DOI: 10.2174/1874434602014010159] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background:
Fall is a major cause of disability and mortality in the elderly.
Objective:
The aim of the present study was to investigate the relationship between the level of physical activity and falls in elderly men in Tehran.
Methods:
The subjects of this study included 434 elderly males over the age of 60 in Tehran, who were randomly selected from parks in different parts of Tehran. The data was collected from August to September, 2019. The demographic characteristics of the subjects were collected and recorded. Then, body composition and anthropometric indices including weight, body mass index (BMI), height and calf circumferences (CC), waist circumferences (WC) and hip circumferences were measured using a digital scale of OMRON and meter tape. The level of physical activity and nutritional status were calculated using the questionnaires of physical activity scale for the elderly (PASE) and mini nutritional assessment (MNA), respectively. The Short Physical Performance Battery (SPPB) test was used to assess the risk of falling. Statistical analysis of data was performed using SPSS21 software.
Results:
The results of statistical analysis of the data showed a positive and significant relationship between global physical activity level (P<0.000) and subscales of its domains (P<0.000) with fall score and a significant inverse relationship between age and fall score (P<0.000). In addition, it was found that age (P<0.000) and physical activity (P<0.000) are two strong factors in predicting falls in the elderly.
Conclusion:
Based on the resulting positive relationship between physical activity and falls, it can be stated that the using strategies such as increasing sports environments with a focus on exercise, physiologists can play an effective role in preventing falls and related complications in the elderly.
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Reich J, Thompson MG, Cowling BJ, Iuliano AD, Greene C, Chen Y, Phadnis R, Leung NHL, Song Y, Fang VJ, Xu C, Dai Q, Zhang J, Zhang H, Havers F. Comparison of alternative full and brief versions of functional status scales among older adults in China. PLoS One 2020; 15:e0234698. [PMID: 32780744 PMCID: PMC7418957 DOI: 10.1371/journal.pone.0234698] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 06/01/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Brief assessments of functional status for community-dwelling older adults are needed given expanded interest in the measurement of functional decline. METHODS As part of a 2015 prospective cohort study of older adults aged 60-89 years in Jiangsu Province, China, 1506 participants were randomly assigned to two groups; each group was administered one of two alternative 20-item versions of a scale to assess activities of daily living (ADL) and instrumental activities of daily living (IADL) drawn from multiple commonly-used scales. One version asked if they required help to perform activities (ADL-IADL-HELP-20), while the other version provided additional response options if activities could be done alone but with difficulty (ADL-IADL-DIFFICULTY-20). Item responses to both versions were compared using the binomial test for differences in proportion (with Wald 95% confidence interval [CI]). A brief 9-item scale (ADL-IADL-DIFFICULTY-9) was developed favoring items identified as difficult or requiring help by ≥4%, with low redundancy and/or residual correlations, and with significant correlations with age and other health indicators. We repeated assessment of the measurement properties of the brief scale in two subsequent samples of older adults in Hong Kong in 2016 (aged 70-79 years; n = 404) and 2017 (aged 65-82 years; n = 1854). RESULTS Asking if an activity can be done alone but with difficulty increased the proportion of participants reporting restriction on 9 of 20 items, for which 95% CI for difference scores did not overlap with zero; the proportion with at least one limitation increased from 28.6% to 34.2% or an absolute increase of 5.6% (95% CI = 0.9-10.3%), which was a relative increase of 19.6%. The brief ADL-IADL-DIFFICULTY-9 maintained excellent internal consistency (α = 0.93) and had similar ceiling effect (68.1%), invariant item ordering (H trans = .41; medium), and correlations with age and other health measures compared with the 20-item version. The brief scale performed similarly when subsequently administered to older adults in Hong Kong. CONCLUSIONS Asking if tasks can be done alone but with difficulty can modestly reduce ceiling effects. It's possible that the length of commonly-used scales can be reduced by over half if researchers are primarily interested in a summed indicator rather than an inventory of specific types of deficits.
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Affiliation(s)
- Jeremy Reich
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Mark G. Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - A. Danielle Iuliano
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Carolyn Greene
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Yuyun Chen
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Rachael Phadnis
- Abt Associates, Cambridge, Massachusetts, United States of America
| | - Nancy H. L. Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ying Song
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Vicky J. Fang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Cuiling Xu
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qigang Dai
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jun Zhang
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Hongjun Zhang
- Yancheng Center for Disease Prevention and Control, Yancheng, China
| | - Fiona Havers
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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Hakeem FF, Bernabé E, Fadel HT, Sabbah W. Association between Oral Health and Frailty among Older Adults in Madinah, Saudi Arabia: A Cross-Sectional Study. J Nutr Health Aging 2020. [DOI: 10.1007/s12603-020-1506-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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43
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Chen M, Chen J, Xu X, Qiao F, Wang X, Ji S, Gu Z, Chhetri JK, Chan P. Education Moderates the Association of Probable REM Sleep Behavior Disorder With Cognitive and Motor Impairments in Community-Dwelling Older People. Front Neurol 2020; 11:109. [PMID: 32184754 PMCID: PMC7059092 DOI: 10.3389/fneur.2020.00109] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 01/30/2020] [Indexed: 01/12/2023] Open
Abstract
Objectives: To investigate the relationship between probable rapid eye movement (REM) sleep behavior disorder (pRBD) and cognitive/motor impairments in a community-dwelling population and explore the moderating effects of education. Methods: In this cross-sectional study of the Beijing Longitudinal Study of Aging II (BLSA II), 4,477 subjects (≥55 years) fulfilled the inclusion criteria. pRBD was determined by the RBD Questionnaire-Hong Kong (RBDQ-HK). Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) were used to test the global cognitive performance. Walking speed was used to measure motor function. Logistic regression was performed to assess the relationship between pRBD and cognitive/motor impairments and the moderating effects of education. Results: There were 147 participants (3.3%) with pRBD. Participants with pRBD showed increased risks for cognitive impairment [odds ratio (OR) = 1.88, 95% CI 1.24-2.85, p = 0.003], decreased gait speed (OR = 1.43, 95% CI 1.02-2.01, p = 0.03), but not for mild cognitive impairment (MCI) (measured by MoCA: OR = 1.01, 95% CI 0.68-1.50, p = 0.95; measured by MMSE: OR = 0.90, 95% CI 0.59-1.37, p = 0.62). Education modified the effect of pRBD on MCI (measured by MoCA: p < 0.001; measured by MMSE: p = 0.061) and gait speed (p = 0.008). Conclusions: Our findings suggest that pRBD increases the risk of cognitive/motor impairments for a community-dwelling older population, and education could alleviate the negative effects. These findings implicate that education may have beneficial effects on delaying the onset of cognitive/motor decline in pRBD subjects.
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Affiliation(s)
- Meijie Chen
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China
| | - Jie Chen
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China
| | - Xitong Xu
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China
| | - Fangwei Qiao
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China
| | - Xue Wang
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China
| | - Shaozhen Ji
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China.,Clinical Center for Parkinson's Disease, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhuqin Gu
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China.,Clinical Center for Parkinson's Disease, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing, China
| | - Jagadish K Chhetri
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Piu Chan
- Department of Neurobiology, Neurology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Geriatrics, Beijing, China.,Clinical Center for Parkinson's Disease, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.,Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
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44
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Vetrano DL, Palmer K, Marengoni A, Marzetti E, Lattanzio F, Roller-Wirnsberger R, Lopez Samaniego L, Rodríguez-Mañas L, Bernabei R, Onder G. Frailty and Multimorbidity: A Systematic Review and Meta-analysis. J Gerontol A Biol Sci Med Sci 2020; 74:659-666. [PMID: 29726918 DOI: 10.1093/gerona/gly110] [Citation(s) in RCA: 375] [Impact Index Per Article: 75.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 04/30/2018] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Multimorbidity and frailty are complex syndromes characteristics of aging. We reviewed the literature and provided pooled estimations of any evidence regarding (a) the coexistence of frailty and multimorbidity and (b) their association. METHODS We searched PubMed and Web of Science for relevant articles up to September 2017. Pooled estimates were obtained through random effect models and Mantel-Haenszel weighting. Homogeneity (I2), risk of bias, and publication bias were assessed. PROSPERO registration: 57890. RESULTS A total of 48 studies involving 78,122 participants were selected, and 25 studies were included in one or more meta-analyses. Forty-five studies were cross-sectional and 3 longitudinal, with the majority of them including community-dwelling participants (n = 35). Forty-three studies presented a moderate risk of bias and five a low risk. Most of the articles defined multimorbidity as having two or more diseases and frailty according to the Cardiovascular Health Study criteria. In meta-analyses, the prevalence of multimorbidity in frail individual was 72% (95% confidence interval = 63%-81%; I2 = 91.3%), and the prevalence of frailty among multimorbid individuals was 16% (95% confidence interval = 12%-21%; I2 = 96.5%). Multimorbidity was associated with frailty in pooled analyses (odds ratio = 2.27; 95% confidence interval = 1.97-2.62; I2 = 47.7%). The three longitudinal studies suggest a bidirectional association between multimorbidity and frailty. CONCLUSIONS Frailty and multimorbidity are two related conditions in older adults. Most frail individuals are also multimorbid, but fewer multimorbid ones also present frailty. Our findings are not conclusive regarding the causal association between the two conditions. Further longitudinal and well-designed studies may help to untangle the relationship between frailty and multimorbidity.
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Affiliation(s)
- Davide L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden.,Department of Geriatrics, Catholic University of Rome, Italy
| | | | | | | | - Fabrizia Lattanzio
- Scientific Direction, Italian National Research Centre on Aging, Ancona, Italy
| | | | - Luz Lopez Samaniego
- Andalusian Public Foundation of Progress and Health, Regional Ministry of Health of Andalusia, Spain
| | | | | | - Graziano Onder
- Department of Geriatrics, Catholic University of Rome, Italy
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45
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Kuzuya M. Era of geriatric medical challenges: Multimorbidity among older patients. Geriatr Gerontol Int 2020; 19:699-704. [PMID: 31397060 DOI: 10.1111/ggi.13742] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 06/21/2019] [Indexed: 01/05/2023]
Abstract
The number of older adults is increasing worldwide, including in Asian countries. Various problems associated with medical care for older adults are being highlighted in aging societies. As the number of chronic diseases increases with age, older adults are more likely to have multiple chronic diseases simultaneously (multimorbidity). Multimorbidity results in poor health-related outcomes, leading to increased use and cost of healthcare. Above all, it leads to deterioration in older adults' quality of life. However, it is unclear whether any medical interventions are effective for multimorbidity, which means medical practitioners currently offer medical care "in the dark." It is therefore necessary for researchers and medical professionals involved in geriatric medicine to establish ways to manage multimorbidity among older adults. This means that the development of research in this field is essential. Geriatr Gerontol Int 2019; 19: 699-704.
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Affiliation(s)
- Masafumi Kuzuya
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
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46
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Ji S, Wang C, Qiao H, Gu Z, Gan-Or Z, Fon EA, Chan P. Decreased Penetrance of Parkinson's Disease in Elderly Carriers of Glucocerebrosidase Gene L444P/R Mutations: A Community-Based 10-Year Longitudinal Study. Mov Disord 2020; 35:672-678. [PMID: 31912918 DOI: 10.1002/mds.27971] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 12/04/2019] [Accepted: 12/13/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Heterozygous mutations in the glucocerebrosidase gene (GBA) have been shown to be an important genetic risk factor for Parkinson's disease (PD) worldwide. However, the penetrance of GBA heterozygote for L444P, the common mutation for Asian population, is not known in older Chinese people. OBJECTIVES To assess the conversion rate to PD in identified carriers of GBA L444P/R mutations in Chinese community-dwelling older adults. METHODS The GBA gene was sequenced for mutations at position 444 in 8405 people older than 55 years who participated in the Beijing Longitudinal Study on Aging II cohort. Nine subjects were identified as heterozygous carriers of GBA L444P or L444R mutations at baseline and clinically followed up from 2009 to 2019 to investigate their PD conversion, motor and nonmotor symptoms, and change of vesicular monoamine transporter type 2 using tracer of [18 F]9-fluoropropyl-(+)-dihydrotetrabenazine (18 F-DTBZ, also known as 18 F-AV-133). RESULTS Eight heterozygous GBA L444P and 1 L444R mutation carriers were identified without PD at baseline, and none of them developed clinical parkinsonism after a 10-year follow-up. CONCLUSIONS Although GBA mutations may lead to an earlier onset PD, the majority of GBA L444P heterozygotes in older adults may not convert to PD. Further studies are warranted to identify factors that modify the risk of conversion. © 2020 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Shaozhen Ji
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Chaodong Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Clinical and Research Center for Parkinson's Disease, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Hongwen Qiao
- Department of Nuclear Medicine, Xuanwu Hospital of Capital Medical University, Beijing, China.,Department of Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Zhuqin Gu
- Clinical and Research Center for Parkinson's Disease, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ziv Gan-Or
- Montreal Neurological Institute and Hospital, Department of Neurology & Neurosurgery, McGill University, Montreal, Canada
| | - Edward A Fon
- Montreal Neurological Institute and Hospital, Department of Neurology & Neurosurgery, McGill University, Montreal, Canada
| | - Piu Chan
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Clinical and Research Center for Parkinson's Disease, Key Laboratory for Neurodegenerative Disease of the Ministry of Education, Beijing Key Laboratory for Parkinson's Disease, Parkinson Disease Center of Beijing Institute for Brain Disorders, Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital of Capital Medical University, Beijing, China.,Department of Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing, China
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Xu W, Li YX, Wu C. Incidence of frailty among community-dwelling older adults: a nationally representative profile in China. BMC Geriatr 2019; 19:378. [PMID: 31888498 PMCID: PMC6937935 DOI: 10.1186/s12877-019-1393-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 12/17/2019] [Indexed: 01/24/2023] Open
Abstract
Background Frailty is a clinically recognizable state of reduced resilience to stressors and increased vulnerability to adverse outcomes. The majority of studies have focused on the prevalence and risk factors of frailty, while the incidence of frailty has not been well documented, especially in less developed regions including China—a country that has the largest aging population in the world. We investigated the incidence of frailty among non-frail Chinese older adults by sociodemographic characteristics, disease burden, and geographic region. Methods Participants were 4939 adults aged ≥60 years from the China Health and Retirement Longitudinal Study, a cohort study of a nationally representative sample of middle-aged and older community-dwelling adults from 28 provinces in China. Frailty was assessed by an adapted version of the well-validated Fried’s physical frailty phenotype, in which five criteria were included: weakness, slowness, exhaustion, physical inactivity, and shrinking. Results Over an average of 2.1 years of follow-up (10,514.2 person-years), the weighted incidence rate of frailty was 60.6 per 1000 person-years; the incidence rate was 28.8 and 86.6 per 1000 person-years for those who were initially robust and prefrail, respectively. Participants who were older and widowed, had lower education and household income, lived in rural areas, and had higher burden of chronic conditions had higher frailty incidence. Frailty incidence ranged from 44.8 per 1000 person-years in the Southeast to 93.0 per 1000 person-years in the Northwest. Conclusions Incidence rate of frailty was 60.6 per 1000 person-years among community-living Chinese adults aged ≥ 60 years. Substantial sociodemographic and geographical disparities exist in frailty incidence.
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Affiliation(s)
- Weihao Xu
- Geriatric Cardiology Department of the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Ya-Xi Li
- Global Health Research Center, Duke Kunshan University, Academic Building 3038, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Academic Building 3038, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China. .,Duke Global Health Institute, Duke University, Durham, NC, USA.
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Amiri S, Behnezhad S. Systematic review and meta-analysis of the association between smoking and the incidence of frailty. NEUROPSYCHIATRIE : KLINIK, DIAGNOSTIK, THERAPIE UND REHABILITATION : ORGAN DER GESELLSCHAFT OSTERREICHISCHER NERVENARZTE UND PSYCHIATER 2019; 33:198-206. [PMID: 31300971 DOI: 10.1007/s40211-019-0315-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 06/21/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND AND OBJECTIVE Cigarette smoking is one of the main causes of health problems in the world and can also lead to an increased risk of frailty. Our goal is to perform a systematic review and meta-analysis of the relationship between smoking and frailty. METHODS Researchers searched PubMed, Scopus, Google Scholar and Research Gate by using keywords through December 2018. Eligible articles were merged and a meta-analysis was conducted using the random effects method. Finally an analysis was done based on smoking status, and publication bias was assessed as well. RESULTS The population analyzed comprised 61,905 people. The risk ratio (RR) of frailty based on smoking was 1.22 with a confidence interval (CI) of 1.12-1.33 (p < 0.001). In current smokers, the RR was 1.63 (p < 0.001). No significant difference was found in former smokers. The results indicated a publication bias in the studies included into the meta-analysis. DISCUSSION Smoking increases the risk of disability; therefore, the provision of cigarette smoking cessation treatment can reduce this risk. As the results also showed, former smokers are less likely to be frail.
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Affiliation(s)
- Sohrab Amiri
- Behavioral Sciences Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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49
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DeMaria S, Khromava M, Schiano TD, Lin HM, Kim S. Standardized measures of frailty predict hospital length of stay following orthotopic liver transplantation for hepatocellular carcinoma. Clin Transplant 2019; 33:e13746. [PMID: 31664734 DOI: 10.1111/ctr.13746] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2019] [Revised: 10/17/2019] [Accepted: 10/20/2019] [Indexed: 12/22/2022]
Abstract
Frailty in liver transplant (LT) waitlisted patients has been shown to predict waitlist mortality. While not currently used to allocate organs, the relationship between preoperative frailty and postoperative outcomes following orthotopic LT needs further elucidation. We determined the frailty status of 50 OLT candidates listed for hepatocellular carcinoma (HCC) and examined relationships between frailty and outcomes on the waitlist and, if transplanted, 30-day mortality, hospital length of stay (LOS), ICU LOS, and several other secondary outcomes. The overall prevalence of frailty was 30%, and the median natural MELD score for patients was 13. The overall hospital LOS for the frail group was longer (14.5 days [IQR 12-19]) as compared to the non-frail group (8 days [IQR 7-13]); P = .015. Groups also differed in the time to their first PT session (6 days [IQR 4-15] for the frail vs 4 days [IQR 3-7] for the non-frail patients; P = .042). There was no statistically significant difference in other outcomes measures, including ICU LOS and 30-day mortality. Frailty in OLT patients with diagnosed HCC is a predictor of longer hospital stay and longer time to the first completed PT session independent of preoperative MELD scores.
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Affiliation(s)
- Samuel DeMaria
- Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maryna Khromava
- Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Thomas D Schiano
- The Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hung-Mo Lin
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sang Kim
- Department of Anesthesiology, Critical Care and Pain Management, Hospital for Special Surgery, New York, NY, USA
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50
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Lin WC, Huang YC, Leong CP, Chen MH, Chen HL, Tsai NW, Tso HH, Chen PC, Lu CH. Associations Between Cognitive Functions and Physical Frailty in Patients With Parkinson's Disease. Front Aging Neurosci 2019; 11:283. [PMID: 31736737 PMCID: PMC6831640 DOI: 10.3389/fnagi.2019.00283] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 10/03/2019] [Indexed: 11/25/2022] Open
Abstract
Background: Parkinson’s disease (PD) is a neurodegenerative disease manifested by both motor and non-motor dysfunctions and co-existence of cognitive impairment and physical frailty is common. Given that research in this area is limited, a better understanding of associated factors with physical frailty could provide a focused screening method and facilitate early intervention in PD. Methods: Seventy-six patients with idiopathic PD were recruited and Fried’s criteria of physical frailty were used to group all participants. Comprehensive cognitive tests and clinical characteristics were measured, and univariate and multivariate analysis was performed to explore the relationship between clinical factors or neuropsychological functions. Results: Twenty-nine patients with PD (38%) exhibited physical frailty. Compared to PD patients without frailty, PD patients with frailty were older in age and demonstrated worse disease severity and poorer cognitive functions, including attention, executive function, memory, speech and language, and visuospatial function (p < 0.05). Further, stepwise logistic regression analysis revealed that disease severity by the Unified Parkinson’s Disease Rating Scale (UPDRS) total score (OR: 1.065; 95% CI: 1.033–1.099) and executive function (OR: 0.724; 95% CI: 0.581–0.877) were independent risk factors for predicting physical frailty (p = 0.003 and 0.002). The best cut-off points are 46 in UPDRS (sensitivity: 62.1%; specificity: 91.5%). Conclusions: Executive function impairment is an independent risk factor for the development of physical frailty with disease progression. Awareness of such comorbidity might provide a screening tool to facilitate investigation in their underlying etiology and early intervention for frailty prevention.
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Affiliation(s)
- Wei-Che Lin
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yu-Chi Huang
- Department of Physical Medicine and Rehabilitation, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chau-Peng Leong
- Department of Physical Medicine and Rehabilitation, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Meng-Hsiang Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Hsiu-Ling Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Nai-Wen Tsai
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Hui-Hsin Tso
- Department of Physical Medicine and Rehabilitation, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Po-Cheng Chen
- Department of Physical Medicine and Rehabilitation, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Cheng-Hsien Lu
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
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