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Li Y, Huang Y, Wei F, Li T, Wang Y. Development and validation of a risk prediction model for motoric cognitive risk syndrome in older adults. Aging Clin Exp Res 2024; 36:143. [PMID: 39002102 PMCID: PMC11246282 DOI: 10.1007/s40520-024-02797-5] [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: 04/20/2024] [Accepted: 06/22/2024] [Indexed: 07/15/2024]
Abstract
OBJECTIVE The objective of this study was to develop a risk prediction model for motoric cognitive risk syndrome (MCR) in older adults. METHODS Participants were selected from the 2015 China Health and Retirement Longitudinal Study database and randomly assigned to the training group and the validation group, with proportions of 70% and 30%, respectively. LASSO regression analysis was used to screen the predictors. Then, identified predictors were included in multivariate logistic regression analysis and used to construct model nomogram. The performance of the model was evaluated by area under the receiver operating characteristic (ROC) curve (AUC), calibration curves and decision curve analysis (DCA). RESULTS 528 out of 3962 participants (13.3%) developed MCR. Multivariate logistic regression analysis showed that weakness, chronic pain, limb dysfunction score, visual acuity score and Five-Times-Sit-To-Stand test were predictors of MCR in older adults. Using these factors, a nomogram model was constructed. The AUC values for the training and validation sets of the predictive model were 0.735 (95% CI = 0.708-0.763) and 0.745 (95% CI = 0.705-0.785), respectively. CONCLUSION The nomogram constructed in this study is a useful tool for assessing the risk of MCR in older adults, which can help clinicians identify individuals at high risk.
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Affiliation(s)
- Yaqin Li
- School of Nursing, Jinan University, Guangzhou, Guangdong Province, China
| | - Yuting Huang
- School of Nursing, Jinan University, Guangzhou, Guangdong Province, China
| | - Fangxin Wei
- School of Nursing, Jinan University, Guangzhou, Guangdong Province, China
| | - Tanjian Li
- School of Nursing, Jinan University, Guangzhou, Guangdong Province, China
| | - Yu Wang
- The Community Service Center of Jinan University, The First Affiliated Hospital of Jinan University, Tianhe District, Guangzhou, Guangzhou Province, China.
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Katsurasako T, Murata S, Goda A, Shiraiwa K, Horie J, Abiko T, Nakano H. Relationship between Mild Cognitive Impairment, Pre-Frailty, Physical and Psychological Functioning, and Functional Capacity among Community-Dwelling Older Adults. Healthcare (Basel) 2023; 11:2542. [PMID: 37761739 PMCID: PMC10531195 DOI: 10.3390/healthcare11182542] [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: 08/10/2023] [Revised: 09/02/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Mild cognitive impairment (MCI) is associated with a high risk of dementia. Reportedly, 54.6% of older adults with MCI fall into the pre-frailty category. However, it is unclear what differences exist in older adults with regard to their physical, psychological, and functional capacities, which depend on MCI, pre-frailty, or a combination of the two. This study aimed to examine the differences between the association between physical function, psychological function, and functional capacity by examining a combination of MCI and pre-frailty among community-dwelling older Japanese individuals. The participants in the analysis were 236 older people living in the community. They were classified into four groups, as follows: normal, MCI only, pre-frailty only, and pre-frailty/MCI; furthermore, their physical, psychological, and functional capacities were compared. In addition, a multinomial logistic regression analysis was performed using MCI and pre-frailty as dependent variables. No associated factors were identified for MCI only, and a depressive mood was only associated with pre-frailty. When pre-frailty and MCI were combined, knee extension muscle strength, fastest gait speed, the s30 s chair stand test, depressed moods, and the instrumental activities of daily living (IADL) were correlated. Our results suggest that when MCI and pre-frailty are combined, declines in both physical and psychological functions and IADL are likely to occur.
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Affiliation(s)
- Tsuyoshi Katsurasako
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan
- Department of Rehabilitation, Koka City Minakuchi Medical Care Center, Koka 528-0049, Japan
| | - Shin Murata
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan; (S.M.); (K.S.); (J.H.); (T.A.); (H.N.)
| | - Akio Goda
- Department of Physical Therapy, Faculty of Health and Medical Sciences, Hokuriku University, Kanazawa 920-1180, Japan;
| | - Kayoko Shiraiwa
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan; (S.M.); (K.S.); (J.H.); (T.A.); (H.N.)
| | - Jun Horie
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan; (S.M.); (K.S.); (J.H.); (T.A.); (H.N.)
| | - Teppei Abiko
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan; (S.M.); (K.S.); (J.H.); (T.A.); (H.N.)
| | - Hideki Nakano
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto 607-8175, Japan; (S.M.); (K.S.); (J.H.); (T.A.); (H.N.)
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Wada Y, Shojima K, Tamaki K, Mori T, Kusunoki H, Onishi M, Tsuji S, Matsuzawa R, Nagai K, Sano K, Hashimoto K, Goto M, Nagasawa Y, Shinmura K. Association Between Timed Up-and-Go Test and Future Changes in the Frailty Status in a Longitudinal Study of Japanese Community-Dwelling Older Adults. Clin Interv Aging 2023; 18:1191-1200. [PMID: 37534233 PMCID: PMC10392805 DOI: 10.2147/cia.s413513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 07/11/2023] [Indexed: 08/04/2023] Open
Abstract
Purpose This study aimed to evaluate the relationship between timed up-and-go (TUG) test time and changes in frailty status in a longitudinal cohort study of rural Japanese older adults. Patients and Methods This prospective cohort study included 545 community-dwelling older adults. Initial and 2-year follow-up surveys were conducted. We compared the number of the Japanese version of the Cardiovascular Health Study components during the follow-up period and classified the participants into three groups: the favorable change, unchanged as prefrail, and unfavorable change groups. Associations between changes in frailty status and TUG time in the first survey were examined. The predictive ability of the TUG test was determined using the receiver operating characteristic (ROC) curve. Results The favorable change group comprised 315 individuals (57.8%), the unchanged as prefrail group 105 (19.2%), and the unfavorable change group 125 (22.9%). TUG time was associated with the favorable and unfavorable changes after adjustment for covariates (OR 0.79, 95% CI 0.68-0.92, P=0.001 and OR 1.27, 95% CI 1.09-1.49, P=0.002). The ROC curve of TUG time as a predictor of unfavorable changes showed an area under the curve of 0.59. A cut-off point of TUG was calculated as 6.3 s with 49.6% sensitivity and 66.0% specificity. Conclusion TUG time in the first survey was significantly associated with changes in frailty status 2 years later. However, its predictive value as a stand-alone test is limited and has the potential to predict future changes in the frailty status in older adults in combination with other tests.
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Affiliation(s)
- Yosuke Wada
- Department of General Internal Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
- Roppou Clinic, Toyooka, Hyogo, Japan
| | - Kensaku Shojima
- Department of General Internal Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
| | - Kayoko Tamaki
- Department of General Internal Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
| | - Takara Mori
- Department of General Internal Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
- Amagasaki Medical COOP Honden Clinic, Amagasaki, Hyogo, Japan
| | - Hiroshi Kusunoki
- Department of General Internal Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
- Department of Internal Medicine, Osaka Dental University, Hirakata, Japan
| | - Masaaki Onishi
- Department of Orthopedic Surgery, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
| | - Shotaro Tsuji
- Department of Orthopedic Surgery, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
- Department of Orthopedic Surgery, Tatsuno City Hospital, Tatsuno, Japan
| | - Ryota Matsuzawa
- Department of Physical Therapy, School of Rehabilitation, Hyogo Medical University, Kobe, Japan
| | - Koutatsu Nagai
- Department of Physical Therapy, School of Rehabilitation, Hyogo Medical University, Kobe, Japan
| | - Kyoko Sano
- Takarazuka Rehabilitation Hospital, Takarazuka, Japan
| | - Kana Hashimoto
- School of Pharmacy, Hyogo Medical University, Kobe, Japan
| | - Masashi Goto
- Department of General Medicine and Community Health Science, Hyogo Medical University, Sasayama Medical Center, Tambasasayama, Japan
| | - Yasuyuki Nagasawa
- Department of General Internal Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
| | - Ken Shinmura
- Department of General Internal Medicine, School of Medicine, Hyogo Medical University, Nishinomiya, Japan
- Department of General Medicine and Community Health Science, Hyogo Medical University, Sasayama Medical Center, Tambasasayama, Japan
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Xiao H, Fangfang H, Qiong W, Shuai Z, Jingya Z, Xu L, Guodong S, Yan Z. The Value of Handgrip Strength and Self-Rated Squat Ability in Predicting Mild Cognitive Impairment: Development and Validation of a Prediction Model. INQUIRY : A JOURNAL OF MEDICAL CARE ORGANIZATION, PROVISION AND FINANCING 2023; 60:469580231155295. [PMID: 36760102 PMCID: PMC9926366 DOI: 10.1177/00469580231155295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Early identification of individuals with mild cognitive impairment (MCI) is essential to combat worldwide dementia threats. Physical function indicators might be low-cost early markers for cognitive decline. To establish an early identification tool for MCI by combining physical function indicators (upper and lower limb function) via a clinical prediction modeling strategy. A total of 5393 participants aged 60 or older were included in the model. The variables selected for the model included sociodemographic characteristics, behavioral factors, mental status and chronic conditions, upper limb function (handgrip strength), and lower limb function (self-rated squat ability). Two models were developed to test the predictive value of handgrip strength (Model 1) or self-rated squat ability (Model 2) separately, and Model 3 was developed by combining handgrip strength and self-rated squat ability. The 3 models all yielded good discrimination performance (area under the curve values ranged from 0.719 to 0.732). The estimated net reclassification improvement values were 0.3279 and 0.1862 in Model 3 when comparing Model 3 to Model 1 and Model 2, respectively. The integrated discrimination improvement values were estimated as 0.0139 and 0.0128 when comparing Model 3 with Model 1 and Model 2, respectively. The model that contains both upper and lower limb function has better performance in predicting MCI. The final prediction model is expected to assist health workers in early identification of MCI, thus supporting early interventions to reduce future risk of AD, particularly in socioeconomically deprived communities.
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Affiliation(s)
- Han Xiao
- Anhui Medical University, Hefei, P.R. China
| | | | - Wang Qiong
- Anhui Medical University, Hefei, P.R. China
| | - Zhou Shuai
- Anhui Medical University, Hefei, P.R. China
| | | | - Lou Xu
- Anhui Professional & Technical Institute of Athletics, Hefei, P.R. China
| | - Shen Guodong
- University of Science and Technology of China, Hefei, P.R. China
| | - Zhang Yan
- Anhui Medical University, Hefei, P.R. China,Zhang Yan, School of Health Service Management, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei 230032, P.R. China.
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Liu S, Zhang Y, Peng B, Pang C, Li M, Zhu J, Liu CF, Hu H. Correlation between parameters related to sarcopenia and gray matter volume in patients with mild to moderate Alzheimer's disease. Aging Clin Exp Res 2022; 34:3041-3053. [PMID: 36121640 DOI: 10.1007/s40520-022-02244-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 08/29/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is a neurodegenerative disease characterized by brain atrophy and closely correlated with sarcopenia. Mounting studies indicate that parameters related to sarcopenia are associated with AD, but some results show inconsistent. Furthermore, the association between the parameters related to sarcopenia and gray matter volume (GMV) has rarely been explored. AIM To investigate the correlation between parameters related to sarcopenia and cerebral GMV in AD. METHODS Demographics, neuropsychological tests, parameters related to sarcopenia, and magnetic resonance imaging (MRI) scans were collected from 42 patients with AD and 40 normal controls (NC). Parameters related to sarcopenia include appendicular skeletal muscle mass index (ASMI), grip strength, 5-times sit-to-stand (5-STS) time and 6-m gait speed. The GMV of each cerebral region of interest (ROI) and the intracranial volume were calculated by computing the numbers of the voxels in the specific region based on MRI data. Partial correlation and multivariate stepwise linear regression analysis explored the correlation between different inter-group GMV ratios in ROIs and parameters related to sarcopenia, adjusting for covariates. RESULTS The 82 participants included 40 NC aged 70.13 ± 5.94 years, 24 mild AD patients aged 73.54 ± 8.27 years and 18 moderate AD patients aged 71.67 ± 9.39 years. Multivariate stepwise linear regression showed that 5-STS time and gait speed were correlated with bilateral hippocampus volume ratios in total AD. Grip strength was associated with the GMV ratio of the left middle frontal gyrus in mild AD and the GMV ratios of the right superior temporal gyrus and right hippocampus in moderate AD. However, ASMI did not have a relationship to any cerebral GMV ratio. CONCLUSIONS Among parameters related to sarcopenia, 5-STS time and gait speed were associated with bilateral hippocampus volume ratios at different clinical stages of patients with AD. Five-STS time provide an objective basis for early screening and can help diagnose patients with AD.
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Affiliation(s)
- Shanwen Liu
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Yu Zhang
- School of Life Sciences and Technology, Changchun University of Science and Technology, Changchun, 130012, China
| | - Bo Peng
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China
| | - Chunying Pang
- School of Life Sciences and Technology, Changchun University of Science and Technology, Changchun, 130012, China
| | - Meng Li
- Department of Imaging, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Jiangtao Zhu
- Department of Imaging, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Chun-Feng Liu
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Hua Hu
- Department of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
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Ng TP, Lee TS, Lim WS, Chong MS, Yap P, Cheong CY, Rawtaer I, Liew TM, Gwee X, Gao Q, Yap KB. Functional mobility decline and incident mild cognitive impairment and early dementia in community-dwelling older adults: the Singapore Longitudinal Ageing Study. Age Ageing 2022; 51:6691371. [PMID: 36074716 DOI: 10.1093/ageing/afac182] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 05/23/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Motor and gait disturbances are evident in early Alzheimer and non-Alzheimer dementias and may predict the likelihood of mild cognitive impairment (MCI) or progression to dementia. OBJECTIVE We investigated the Timed-Up-and-Go (TUG) measure of functional mobility in predicting cognitive decline and incident MCI or early dementia (MCI-dementia). DESIGN Prospective cohort study with 4.5 years follow-up. SETTING Population based. PARTICIPANTS 2,544 community-dwelling older adults aged 55+ years. METHODS Participants with baseline data on TUG, fast gait speed (GS), knee extension strength (KES) and performance-oriented mobility assessment (POMA) gait and balance were followed up for cognitive decline (Mini-Mental State Exam; MMSE drop of ≥2, among 1,336 dementia-free participants) and incident MCI-dementia (among 1,208 cognitively normal participants). Odds ratio (OR) and 95% confidence intervals (95% CI) were adjusted for age, sex, education, smoking, physical, social and productive activity, multi-morbidity, metabolic syndrome and MMSE. RESULTS Per standard deviation increase in TUG, POMA, GS and KES were significantly associated with incident MCI-dementia: TUG (OR = 2.84, 95% CI = 2.02-3.99), GS (OR = 2.17, 95% CI = 1.62-2.91), POMA (OR = 1.88, 95% CI = 1.22-2.92) and KES (OR = 1.52, 95% CI = 1.15-2.02). Adjusted OR remained significant only for TUG (OR = 1.52, 95% CI = 1.01-2.31) and GS (OR = 1.53, 95% CI = 1.08-2.16). Areas under the curve (AUC) for TUG (AUC = 0.729, 95% CI = 0.671-0.787) were significantly greater than GS (AUC = 0.683, 95% CI = 0.619-0.746), KES (AUC = 0.624, 95% CI = 0.558-0.689) and POMA (AUC = 0.561, 95% CI = 0.485-0.637). Similar associations with cognitive decline were significant though less pronounced, and adjusted ORs remained significant for TUG, GS and POMA. CONCLUSION Functional mobility decline precedes incident MCI and early dementia. The TUG appears to be especially accurate in predicting the future risks of adverse cognitive outcomes. TRIAL REGISTRATION ClinicalTrials.gov NCT03405675. Registered 23 January 2018 (retrospectively registered).
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Affiliation(s)
- Tze Pin Ng
- Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Geriatric Education and Research Institute, Singapore
| | - Tih Shih Lee
- Neuroscience and Behavioural Disorders Program, Duke-NUS Medical School, Singapore
| | - Wee Shiong Lim
- Institute of Geriatrics and Active Aging, Tan Tock Seng Hospital; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | | | - Philip Yap
- Department of Geriatric Medicine, Khoo Teck Puat Hospital, Singapore
| | - Chin Yee Cheong
- Department of Geriatric Medicine, Khoo Teck Puat Hospital, Singapore
| | - Iris Rawtaer
- Department of Psychiatry, Sengkang General Hospital, Singapore
| | - Tau Ming Liew
- Department of Psychiatry, Singapore General Hospital, Singapore
| | - Xinyi Gwee
- Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Qi Gao
- Department of Clinical Epidemiology, Tan Tock Seng Hospital, Singapore
| | - Keng Bee Yap
- Department of Medicine, Ng Teng Fong General Hospital, Singapore
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Tam ACY, Chan AWY, Cheung DSK, Ho LYW, Tang ASK, Christensen M, Tse MMY, Kwan RYC. The effects of interventions to enhance cognitive and physical functions in older people with cognitive frailty: a systematic review and meta-analysis. Eur Rev Aging Phys Act 2022; 19:19. [PMID: 36002799 PMCID: PMC9400290 DOI: 10.1186/s11556-022-00299-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 08/11/2022] [Indexed: 01/08/2023] Open
Abstract
Introduction Cognitive frailty is the co-existence of mild cognitive impairment and physical frailty that increases the risk of adverse health outcomes. The existing systematic reviews on cognitive frailty in the literature have focused only on identifying associated factors and adverse outcomes, and their relationship with frailty and cognition. This study aimed to examine the effects of interventions on cognitive functions, frailty, and physical functions and provide an overview of intervention components used in older people with cognitive frailty. Methods This is a systematic review and meta-analysis. Medline, PubMed, CINAHL, Embase, PsycINFO, and Cochrane were searched for publishing during 2013–2021. Studies were selected based on the following eligibility criteria: 1) older people (age ≥ 60 years), 2) cognitive frailty, 3) outcomes on frailty or cognition or physical function, and 4) randomized controlled trial with any type of intervention. The Physiotherapy Evidence Database (PEDro) scale was used to rate the quality of the included studies. The review protocol was registered with PROSPERO (CRD42021251321). Results Two thousand five hundred six studies were identified, 9 were eligible, and 8 were included in the meta-analysis. The standardized mean difference (Hedges G) between groups of cognitive functions was 0.95, frailty status was 0, physical function in walking was -1.67, and the physical function in core strength assessment was 3.39. Physical activity appeared as an essential component in all interventions for older people with cognitive frailty. Discussion All interventions include physical activity as one of the components. Other components include cognitive training, nutrition education, behavioural intervention, mind–body intervention, psychosocial support, and virtual reality. The interventions are effective to promote cognitive and physical functions, but not physical frailty. Supplementary Information The online version contains supplementary material available at 10.1186/s11556-022-00299-9.
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Affiliation(s)
| | - Amanda Wan Yee Chan
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China
| | - Daphne Sze Ki Cheung
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Poltechnic University, Hong Kong, China
| | - Lily Yuen Wah Ho
- School of Nursing, The Hong Kong Polytechnic University Centre for Gerontological Nursing, The Hong Kong Polytechnic University Hong Kong, Kong, China
| | | | - Martin Christensen
- Centre for Gerontological Nursing, School of Nursing, The Hong Kong Poltechnic University, Hong Kong, China
| | - Mimi Mun Yee Tse
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, China
| | - Rick Yiu Cho Kwan
- School of Nursing, Tung Wah College, Ma Kam Chan Memorial Building,31 Wylie Road, Homantin, Hong Kong, China.
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Ninomiya K, Takahira N, Ikeda T, Suzuki K, Sato R, Kazuo H. Prevalence of frailty and associated factors among community-dwelling older adults after total hip arthroplasty. Hip Int 2021; 33:397-403. [PMID: 34569345 DOI: 10.1177/11207000211048180] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVE To evaluate the prevalence of frailty and associated factors among community-dwelling older adults who have undergone total hip arthroplasty (THA). MATERIALS AND METHODS This study, which employed a cross-sectional, observational design, was conducted between April and November 2020. The participants were older adults (⩾65 years) who had undergone primary THA at the study hospital. Based on Fried's modified phenotype, frailty was stratified into 3 degrees according to the presence of 3 or more of the following components: weight loss, weakness, exhaustion, low activity level, and slow walking speed. Multinomial logistic regression was used to analyse the associations of frailty with its potential risk factors. RESULTS The data of 518 participants were analysed. The overall prevalence of frailty and prefrailty was 11.4% and 51.0%, respectively. The multinomial logistic regression analysis showed that calf circumference (odds ratio [OR] 0.716, 95% confidence interval [CI], 0.611-0.839; p < 0.001), fall history (OR 2.435, 95% CI, 1.114-5.322; p = 0.026), hip abductor muscle strength (OR 0.962, 95% CI, 0.938-0.987; p = 0.003), knee extensor muscle strength (OR 0.980, 95% CI, 0.964-0.996; p = 0.013), and Timed Up and Go test (TUG) performance (OR 1.802, 95% CI, 1.458-2.228; p < 0.001) were associated with frailty. CONCLUSIONS Frailty was highly prevalent in community-dwelling older adults after THA. Further, its potential associations with calf circumference, hip abductor and knee extensor muscle strength, TUG performance, and fall history highlight the significance of these factors for interventions.
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Affiliation(s)
- Kazunari Ninomiya
- Department of Rehabilitation, Shonan Kamakura Joint Reconstruction Centre, Kanagawa, Japan.,Graduate School of Medical Sciences, Kitasato University, Kanagawa, Japan
| | - Naonobu Takahira
- Graduate School of Medical Sciences, Kitasato University, Kanagawa, Japan.,Department of Rehabilitation, Kitasato University School of Allied Health Sciences, Kanagawa, Japan
| | - Takashi Ikeda
- Department of Rehabilitation, Shonan Kamakura Joint Reconstruction Centre, Kanagawa, Japan.,School of Nursing and Rehabilitation Sciences, Showa University, Kanagawa, Japan
| | - Koji Suzuki
- Department of Rehabilitation, Shonan Kamakura Joint Reconstruction Centre, Kanagawa, Japan
| | - Ryoji Sato
- Department of Rehabilitation, Shonan Kamakura Joint Reconstruction Centre, Kanagawa, Japan
| | - Hirakawa Kazuo
- Department of Orthopaedic Surgery, Shonan Kamakura Joint Reconstruction Center, Kamakura, Kanagawa
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