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Bohn L, Zheng Y, McFall GP, Andrew MK, Dixon RA. Frailty in motion: Amnestic mild cognitive impairment and Alzheimer's disease cohorts display heterogeneity in multimorbidity classification and longitudinal transitions. J Alzheimers Dis 2025; 104:732-750. [PMID: 40025710 DOI: 10.1177/13872877251319547] [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] [Indexed: 03/04/2025]
Abstract
BackgroundData-driven examination of multiple morbidities and deficits are informative for clinical and research applications in aging and dementia. Resulting profiles may change longitudinally according to dynamic alterations in extent, duration, and pattern of risk accumulation. Do such frailty-related changes include not only progression but also stability and reversion?ObjectiveWith cognitively impaired and dementia cohorts, we employed data-driven analytics to (a) detect the extent of heterogeneity in frailty-related multimorbidity and deficit burden subgroups and (b) identify key person characteristics predicting differential transition patterns.MethodsWe assembled baseline and 2-year follow-up data from the National Alzheimer's Coordinating Center for amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) cohorts. We applied factor analyses to 43 multimorbidity and deficit indicators. Latent Transition Analysis (LTA) was applied to the resulting domains in order to detect subgroups differing in transition patterns for multimorbidity and deficit burden. We characterized heterogeneity in change patterns by evaluating key person characteristics as differential predictors.ResultsFactor analyses revealed five domains at two time points. LTA showed that two latent burden subgroups at Time 1 (Low, Moderate) differentiated into an additional two subgroups at Time 2 (adding Mild, Severe). Transition analyses detected heterogeneous changes, including progression, stability, and reversion. Baseline classifications and transitions varied according to clinical cohort, global cognition, sex, age, and education.ConclusionsHeterogeneous frailty-related subgroup transitions can be (a) detected in aging adults living with aMCI and AD, (b) characterized as not only progression but also stability and reversion, and (c) predicted by precision characteristics.
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Affiliation(s)
- Linzy Bohn
- Department of Psychology, University of Alberta, Edmonton, Alberta, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Yao Zheng
- Department of Psychology, University of Alberta, Edmonton, Alberta, Canada
| | - G Peggy McFall
- Department of Psychology, University of Alberta, Edmonton, Alberta, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Melissa K Andrew
- Department of Medicine, Division of Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Roger A Dixon
- Department of Psychology, University of Alberta, Edmonton, Alberta, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
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Dong Q, Bu X, Wang T, Liu M, Zhong F, Liu C. Profiles of physical frailty, social frailty, and cognitive impairment among older adults in rural areas of China: a latent profile analysis. Front Public Health 2024; 12:1424791. [PMID: 39091519 PMCID: PMC11291239 DOI: 10.3389/fpubh.2024.1424791] [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: 04/28/2024] [Accepted: 07/09/2024] [Indexed: 08/04/2024] Open
Abstract
Background As China rapidly ages, it has now become a deeply aging society with the largest number of older individuals in the world. The issue is particularly severe in rural areas. With the aging population growing and the older population expanding, health problems are becoming more prevalent among older individuals, particularly frailty and cognitive impairments. This study aimed to identify the profiles of physical frailty, social frailty, and cognitive impairment among older adults and explore the influencing factors. Methods In this cross-sectional study, participants were recruited from six villages in four cities in Shandong Province, China from July to October 2023 through cluster random sampling. Latent profile analysis was used to determine the profiles of physical frailty, social frailty, and cognitive impairment. Chi-square tests and Mann-Whitney U tests were used for univariate analysis, while binary logistic regression was used to analyze the related factors. Results Seven hundred and sixty-nine older adult care in rural areas showed two profiles: the "high cognitive function and low frailty" group (73.7%, n = 567) and the "low cognitive function and high frailty" group (26.3%, n = 202). A binary logistic regression found that older people were more likely to be aged 80 or older (OR = 2.253, p = 0.029), have a low income level (OR = 1.051, p = 0.007), have one or two (OR = 2.287, p = 0.004), or more than three chronic diseases (OR = 3.092, p = 0.002), and report moderate (OR = 3.406, p = 0.024) or poor health status (OR = 9.085, p < 0.001) in the "low cognitive function and high frailty" group. Meanwhile, older adults who have completed high school (OR = 0.428, p = 0.005) or junior college and above (OR = 0.208, p = 0.009), and engage in adequate physical activity (OR = 0.319, p < 0.001) were more likely to be in the "high cognitive function and low frailty" group. Conclusion In the future, medical professors should increasingly prioritize promptly identifying and intervening in cognitive decline and frailty status in older individuals without delay.
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Affiliation(s)
- Qian Dong
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Xiaolong Bu
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Ting Wang
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Man Liu
- School of Public Health, Qingdao University, Qingdao, China
| | - Feng Zhong
- School of Public Health, Qingdao University, Qingdao, China
| | - Cuiping Liu
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
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Lebuf E, Van Dyck D, Van de Velde L, Beeckman M, Van Cauwenberg J, Compernolle S. Sedentary patterns and health outcomes in the oldest-old: a latent profile analysis. PeerJ 2024; 12:e17505. [PMID: 38938606 PMCID: PMC11210487 DOI: 10.7717/peerj.17505] [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: 11/28/2023] [Accepted: 05/13/2024] [Indexed: 06/29/2024] Open
Abstract
Background Sedentary behavior is most prevalent among those aged 80 years and above, referred to as the oldest-old. Current literature emphasizes the significance of sedentary behavior patterns, but further evidence is required to understand how these patterns relate to specific health outcomes and to identify at-risk profiles for tailored interventions in the oldest-old. Therefore, the aim of this study was to identify profiles of adults aged 80+ years based on their sedentary patterns and health outcomes, and to examine associations between profiles and socio-demographics. Methods A cross-sectional study was conducted in Flanders (Belgium) from February 2021 to December 2022 recruiting 90 older adults (80+) through convenience sampling, employing word of mouth, social media and local service centers. Latent profile analysis identified device-based sedentary patterns and assessed their associations with physical and cognitive functioning, mental health-related quality of life (QoL), and social isolation. Associations of these profiles with socio-demographic factors were analyzed. Results Three distinct profiles were identified: (1) the 'cognitively and physically frail' profile, (2) the 'healthy' profile and (3) the 'lower mental health-related QoL' profile. Those in the 'cognitively and physically frail' profile exhibited the least favorable sedentary pattern, and had a higher likelihood of residing in a nursing home. No significant differences were found for the other socio-demographic variables, being age, sex, educational degree and family situation. Conclusions Three distinct profiles in the oldest-old population, based on cognitive and physical functioning, mental health-related QoL, and sedentary behavior patterns, were identified. Lower physical and cognitive functioning was associated with unhealthy sedentary patterns. Further research with larger samples is crucial to uncover potential links between socio-demographics and at-risk subgroups, enhancing our understanding of sedentary behavior and geriatric health outcomes in this population.
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Affiliation(s)
- Elien Lebuf
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Delfien Van Dyck
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Laura Van de Velde
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Melanie Beeckman
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | | | - Sofie Compernolle
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders, Brussels, Belgium
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Albanesi B, Conti A, Politano G, Dimonte V, Gianino MM, Campagna S. Emergency department visits by nursing home residents. A retrospective Italian study of administrative databases from 2015 to 2019. BMC Geriatr 2024; 24:295. [PMID: 38549053 PMCID: PMC10976813 DOI: 10.1186/s12877-024-04912-7] [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: 08/21/2023] [Accepted: 03/21/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND Visits to Emergency Departments (ED) can be traumatic for Nursing Home (NH) residents. In Italy, the rate of ED visits by NH residents was recently calculated as 3.3%. The reduction of inappropriate ED visits represents a priority for National Healthcare Systems worldwide. Nevertheless, research on factors associated with ED visits is still under-studied in the Italian setting. This study has two main aims: (i) to describe the baseline characteristics of NH residents visiting ED at regional level; (ii) to assess the characteristics, trends, and factors associated with these visits. METHODS A retrospective study of administrative data for five years was performed in the Piedmont Region. Data from 24,208 NH residents were analysed. Data were obtained by merging two ministerial databases of residential care and ED use. Sociodemographic and clinical characteristics of the residents, trends, and rates of ED visits were collected. A Generalized Linear Model (GLM) regression was used to evaluate the factors associated with ED visits. RESULTS In 5 years, 12,672 residents made 24,609 ED visits. Aspecific symptoms (45%), dyspnea (17%) and trauma (16%) were the most frequent problems reported at ED. 51% of these visits were coded as non-critical, and 58% were discharged to the NH. The regression analysis showed an increased risk of ED visits for men (OR = 1.61, 95% CI 1.51-1.70) and for residents with a stay in NH longer than 400 days (OR = 2.19, 95% CI 2.08-2.31). CONCLUSIONS Our study indicates that more than half of NH residents' ED visits could potentially be prevented by treating residents in NH. Investments in the creation of a structured and effective network within primary care services, promoting the use of health technology and palliative care approaches, could reduce ED visits and help clinicians manage residents on-site and remotely.
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Affiliation(s)
- Beatrice Albanesi
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy
| | - Alessio Conti
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy.
| | - Gianfranco Politano
- Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy
| | - Valerio Dimonte
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy
| | - Maria Michela Gianino
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy
| | - Sara Campagna
- Department of Sciences of Public Health and Pediatrics, University of Turin, Via Santena 5 bis, Turin, 10126, Italy
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Karanth S, Braithwaite D, Katsumata Y, Duara R, Norrod P, Aukhil I, Abner E. Association of Physical Frailty and Cognitive Function in a Population-Based Cross-Sectional Study of American Older Adults. Gerontology 2023; 70:48-58. [PMID: 37903474 PMCID: PMC10961850 DOI: 10.1159/000533919] [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: 01/23/2023] [Accepted: 08/28/2023] [Indexed: 11/01/2023] Open
Abstract
INTRODUCTION Cognitive impairment and frailty are prevalent in older persons. Physical frailty is associated with cognitive decline; however, the role of effect modifiers such as age, sex, race/ethnicity, and cognitive reserve is not well understood. METHODS Cross-sectional data from the National Health and Nutrition Examination Survey (2011-2014) were obtained for participants aged ≥60 years. Complete availability of cognitive scores was an inclusion criterion. Physical frailty was defined by the presence of exhaustion, weakness, low body mass, and/or low physical activity, and categorized into three groups: robust (0 present), pre-frail (1-2 present), or frail (3-4 present). Four cognitive test scores were converted to z-scores, and global cognition (composite z-score) was calculated by averaging the four-individual z-scores. Multivariable linear regression models were fit to estimate the associations between frailty and cognitive function. Frailty was also evaluated as a risk factor for self-reported subjective memory complaint (SMC) using logistic regression. All models were adjusted for age, sex, race/ethnicity, education, alcohol use, income, marital status, diabetes, hypertension, and history of stroke. Effect measure modification analyses were conducted by age, sex, race/ethnicity, education, and occupational cognitive demand. RESULTS The study population comprised 2,863 participants aged ≥60 years. 50.6% of the participants were categorized into robust, 43.2% pre-frail, and 6.2% frail. After adjusting for covariates, compared to robust participants, frail and prefrail participants had lower adjusted mean global cognitive z-scores, β^ = -0.61, 95% CI: -0.83, -0.38 and β^ = -0.21, 95% CI: -0.30, -0.12, respectively. Both prefrail and frail participants had higher odds of SMC compared to the robust participants. We did not see strong evidence that the association between frailty and cognition was modified by the factors we studied. DISCUSSION/CONCLUSION Both pre-frailty and frailty were associated with lower cognitive performance and were more likely to report subjective memory complaints relative to persons without frailty. These findings provide additional evidence that physical frailty may serve as a prognostic factor for cognitive deterioration or dementia, and prevention of frailty may be an important public health strategy.
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Affiliation(s)
- Shama Karanth
- Department of Surgery, College of Medicine, University of Florida, Gainesville, Florida, USA
- University of Florida Health Cancer Center, Gainesville, Florida, USA
| | - Dejana Braithwaite
- Department of Surgery, College of Medicine, University of Florida, Gainesville, Florida, USA
- University of Florida Health Cancer Center, Gainesville, Florida, USA
- Department of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA
| | - Yuriko Katsumata
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - Ranjan Duara
- Florida Alzheimer's Disease Research Center, University of Florida, Gainesville, Florida, USA
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center¸, Miami Beach, Florida, USA
| | - Paul Norrod
- Department of Population Health, College of Nursing, University of Cincinnati, Cincinnati, Ohio, USA
| | - Ikramuddin Aukhil
- Department of Surgical Sciences, School of Dental Medicine, East Carolina University, Greenville, North Carolina, USA
| | - Erin Abner
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Epidemiology and Environmental Health, College of Public Health, University of Kentucky, Lexington, Kentucky, USA
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Dong Y, Liu X, Tang M, Huo H, Chen D, Du X, Wang J, Tang Z, Qiao X, Guo J, Fan L, Fan Y. Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task. BMC Geriatr 2023; 23:251. [PMID: 37106330 PMCID: PMC10139832 DOI: 10.1186/s12877-023-03970-7] [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: 11/29/2022] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND In recent years, virtual reality (VR) has evolved from an alternative to a necessity in older adults for health, medical care, and social interaction. Upper limb (UL) motor skill, is an important ability in manipulating VR systems and represents the brain's regulation of movements using the UL muscles. In this study, we used a haptic-feedback Virtual Box and Block Test (VBBT) system and an Intrinsic Motivation Inventory (IMI) to examine age-related differences in UL motor performance and intrinsic motivation in VR use. The findings will be helpful for the development of VR applications for older adults. METHODS In total, 48 young and 47 older volunteers participated in our study. The parameters including VBBT score, number of velocity peaks, velocity, grasping force and trajectory length were calculated to represent the task performance, manual dexterity, coordination, perceptive ability and cognitive ability in this study. RESULTS Age-related differences could be found in all the parameters (all p < 0.05) in VR use. Regression analysis revealed that the task performance of young adults was predicted by the velocity and trajectory length (R2 = 64.0%), while that of older adults was predicted by the number of velocity peaks (R2 = 65.6%). Additionally, the scores of understandability, relaxation and tiredness were significantly different between the two groups (all p < 0.05). In older adults, the understandability score showed large correlation with the IMI score (|r| = 0.576, p < 0.001). In young adults, the correlation was medium (|r| = 0.342, p = 0.017). No significant correlation was found between the IMI score and VBBT score (|r| = 0.142, p = 0.342) in older adults, while a medium correlation (|r| = 0.342, p = 0.017) was found in young adults. CONCLUSIONS The findings demonstrated that decreased smoothness in motor skills dominated the poor VR manipulation in older adults. The experience of understandability is important for older adults' intrinsic motivation in VR use.
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Affiliation(s)
- Ying Dong
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Xiaoyu Liu
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China.
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, 100083, China.
| | - Min Tang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Hongqiang Huo
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Duo Chen
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Xin Du
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Jinghui Wang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Zhili Tang
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Xiaofeng Qiao
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Jieyi Guo
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Linyuan Fan
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China
| | - Yubo Fan
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100083, China.
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, 100083, China.
- School of Medical Science and Engineering Medicine, Beihang University, Beijing, 100083, China.
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Association between cardiopulmonary function, health-related quality of life and cognitive impairment among the older nursing home residents in Shanghai, China. Prim Health Care Res Dev 2023; 24:e18. [PMID: 36919826 PMCID: PMC10050953 DOI: 10.1017/s1463423623000075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND This study aimed to examine the association between cardiopulmonary function, health-related quality of life (HRQOL) and cognitive function among nursing home residents aged 80 years and over. METHODS A nursing home-based, cross-sectional study was implemented among 677 aged over 80 years in Shanghai, China. A total of 197 participants underwent effective cardiopulmonary function examinations. Mini-Mental Status Examination (MMSE) and Short Form-36 scales (SF-36) were used to assess cognitive function and HRQOL, respectively. RESULTS Decline in left ventricular ejection fractions (LVEF) [adjusted odds ratio (AOR), 1.98; 95% confidential interval (CI), 1.03-3.81)] and vital capacity (VC) (AOR, 2.08; 95%CI, 1.07-4.04) was associated with cognitive impairment. After adjusting confounding factors, relationships between cognitive function and physical functioning (PF) (AOR, 0.98; 95%CI, 0.97-0.99) still existed. CONCLUSIONS Healthcare professionals should pay more attention to cardiopulmonary health and HRQOL in the nursing home residents. Actions of public health strategies focus on the improvement of cardiopulmonary function, and PF among older nursing home residents with cognitive impairment is required.
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Okamae A, Ogawa T, Makizako H, Matsumoto D, Ishigaki T, Kamiya M, Miyashita T, Ihira H, Taniguchi Y, Misu S, Ohnuma T, Chibana T, Morikawa N, Ikezoe T. Efficacy of therapeutic exercise on activities of daily living and cognitive function among older residents in long-term care facilities: A systematic review and meta-analysis of randomized controlled trials. Arch Phys Med Rehabil 2022; 104:812-823. [PMID: 36574530 DOI: 10.1016/j.apmr.2022.11.002] [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: 04/01/2022] [Revised: 11/15/2022] [Accepted: 11/20/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVES This study aimed to systematically analyze the efficacy of therapeutic exercise on activities of daily living (ADL) and cognitive function among older residents in long-term care facilities. DATA SOURCES PubMed, Cochrane Central of Register Trials, Physiotherapy Evidence Database, OTseeker, and Ichushi-Web were searched from inception until December 2018. STUDY SELECTION Databases were searched to identify randomized controlled trials (RCTs) of therapeutic exercise for long-term care facility residents aged 60 years and older, focusing on ADL and cognitive function as outcomes. DATA EXTRACTION Two independent reviewers extracted the key information from each eligible study. Two reviewers independently screened and assessed all studies for eligibility, extracting information on study participants, details of interventions, outcome characteristics, and significant outcomes. Any discrepancies were resolved by a third reviewer. DATA SYNTHESIS A total of 11 RCTs with 1,280 participants were eligible for analyses. Therapeutic exercise had a significant benefit on ADL (standard mean difference [SMD] = 0. 22, 95% confidence interval [CI]: 0.02, 0.42, p = 0.03)]. Subgroup analyses indicated that interventions were conducted ≥ 3 days per week [SMD = 0.42, 95% CI 0.02, 0.82, p = 0.04]. For cognitive function, group exercise and ≥ 3 days/week of intervention had a significant benefit (group exercise: mean difference [MD] = 3.36, 95% CI 0.91, 5.80, p = 0.007; ≥ 3 days/week of intervention: MD = 2.28, 95% CI 0.07, 4.49, p = 0.04). CONCLUSIONS Therapeutic exercise conducted 3 or more days per week may be effective for improving ADL and cognitive function among older residents in long-term care facilities. This meta-analysis suggested that group exercise for cognitive functions was effective. However, the effective method of intervention delivery for ADL was unclear.
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Affiliation(s)
- Akio Okamae
- Department of Rehabilitation, Hyogo College of Medicine Sasayama Medical Center, Kurooka5, Tambasasayama, Hyogo.
| | - Tatsuya Ogawa
- Department of Rehabilitation, Nishiyamato Rehabilitation Hospital, 3-2-2 Sasayuridai, Kanmaki-cho, Kitakatsuragi-gun, Nara
| | - Hyuma Makizako
- Department of Physical Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, Sakuragaoka 8-35-1, Kagoshima
| | - Daisuke Matsumoto
- Department of Physical Therapy, Faculty of Health Sciences, Kio University, 4-2-2 Umami-naka, Koryo-cho, Kitakatsuragi-gun, Nara
| | - Tomoya Ishigaki
- Department of Physical Therapy, Faculty of Rehabilitation Sciences, Nagoya Gakuin University, 3-1-17 Taihou, Atsuta, Nagoya, Aichi
| | - Midori Kamiya
- The First Nursing Course, Aichi Prefectural School of General Nursing, Nagoya, Aichi
| | - Toshinori Miyashita
- Inclusive Medical Science Research Institute, Morinomiya University of Medical Sciences, Nankokita 1-26-16, Suminoe Ward, Osaka
| | - Hikaru Ihira
- Department of Physical Therapy, School of Health Sciences, Sapporo Medical University, Sapporo, Hokkaido
| | - Yoshiaki Taniguchi
- Graduate School of Health Sciences, Kagoshima University, Kagoshima 890-8544, Japan; Department of Physical Therapy, Kagoshima Medical Professional College, Kagoshima
| | - Shogo Misu
- Department of Physical Therapy, Faculty of Nursing and Rehabilitation, Konan Women's University, 6-2-23, Morikita-machi, Higashinada-ku, Kobe, Hyogo
| | - Takeshi Ohnuma
- Rehabilitation Progress Center Incorporated, Itabashi rehabili home-visit nursing station, 2-11, hikawacho, itabashi-ku, Tokyo
| | - Tomohisa Chibana
- Kawaguchi Neurosurgery Rehabilitation Clinic, 9-25-202 Koriencho, Hirakata City, Osaka
| | - Natsu Morikawa
- Boys & Girls, Daycare facilities for persons with severe motor and intellectual disabilities, CIL Toyonaka, Elegance Sakuranocho 1(st) floor,2-2-2, Sakuranocho,Toyonaka City,Osaka
| | - Tome Ikezoe
- Faculty of Rehabilitation, Kansai Medical University, Uyamahigashicho 18-89, Hirakata, Osaka
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Jin Y, Zhou X, Deng L, Xiong X, Li Y, Wei Q, Dong B, Qiu S. Association between the domestic use of solid cooking fuel and increased prevalence of depression and cognitive impairment in a big developing country: A large-scale population-based study. Front Public Health 2022; 10:1038573. [PMID: 36504928 PMCID: PMC9731231 DOI: 10.3389/fpubh.2022.1038573] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/04/2022] [Indexed: 11/25/2022] Open
Abstract
Background Previous studies have suggested that air pollution affects physiological and psychological health. Using solid fuel at home is a significant source of indoor air pollution. The associations between solid fuel use and depressive symptoms and cognitive health were unclear among older adults from low- and middle-income countries (LMICs). Methods To evaluate the association of solid fuel use with depressive symptoms and cognitive health among older adults, we obtained data from the Longitudinal Aging Study in India (LASI) and excluded subjects younger than 60 years and without critical data (solid fuel use, depressive symptoms, and cognitive health). The 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10) was used to assess depressive symptoms, with more than ten indicative of depression. Cognitive health was assessed using measures from the Health and Retirement Study (HRS), and subjects with the lowest 10th percentile were considered to have cognitive impairment. The participants' responses defined solid fuel use. Multivariable logistic regression, linear regression, subgroup analysis, and interaction tests were performed to appraise the relationship between solid fuel use and depression and cognitive impairment. Results A total of 29,789 participants over 60 years old were involved in this study. Almost half of the participants (47.5%) reported using solid fuel for home cooking. Compared with clean fuel use, solid fuel use was related to an increased prevalence of depression [odds ratio (OR) 1.09, 95% CI 1.03-1.16] and higher CES-D-10 scores (β 0.23, 95% CI 0.12-0.35) after fully adjusted covariables. Using solid fuel was also related to a higher risk of cognitive impairment (OR 1.21, 95% CI 1.11-1.32) and a lower cognitive score (β -0.63, 95% CI -0.79 to -0.47) compared with those who used clean fuel. In the subgroup analysis, the prevalence of depression increased in females and non-smokers. The association of solid fuel use with depression and cognitive impairment exists in subgroups of BMI, economic status, caste, living area, education, and drinking. Conclusions The use of solid fuel at home was associated with an increased prevalence of depression and cognitive impairment among older adults in India.
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Affiliation(s)
- Yuming Jin
- Department of Urology, National Clinical Research Center for Geriatrics, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Xianghong Zhou
- Department of Urology, National Clinical Research Center for Geriatrics, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Linghui Deng
- National Clinical Research Center of Geriatrics, The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xingyu Xiong
- Department of Urology, National Clinical Research Center for Geriatrics, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Yifan Li
- Department of Urology, National Clinical Research Center for Geriatrics, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiang Wei
- Department of Urology, National Clinical Research Center for Geriatrics, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Birong Dong
- National Clinical Research Center of Geriatrics, The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China,Birong Dong
| | - Shi Qiu
- Department of Urology, National Clinical Research Center for Geriatrics, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China,Institute of Oncology Research (IOR) and Oncology Institute of Southern Switzerland (IOSI), Bellinzona, Switzerland,*Correspondence: Shi Qiu
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Yuan Y, Lapane KL, Tjia J, Baek J, Liu SH, Ulbricht CM. Trajectories of physical frailty and cognitive impairment in older adults in United States nursing homes. BMC Geriatr 2022; 22:339. [PMID: 35439970 PMCID: PMC9017032 DOI: 10.1186/s12877-022-03012-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 03/29/2022] [Indexed: 12/04/2022] Open
Abstract
Background U.S. nursing homes provide long-term care to over 1.2 million older adults, 60% of whom were physically frail and 68% had moderate or severe cognitive impairment. Limited research has examined the longitudinal experience of these two conditions in older nursing home residents. Methods This national longitudinal study included newly-admitted non-skilled nursing care older residents who had Minimum Data Set (MDS) 3.0 (2014–16) assessments at admission, 3 months, and 6 months (n = 266,001). Physical frailty was measured by FRAIL-NH and cognitive impairment by the Brief Interview for Mental Status. Separate sets of group-based trajectory models were fitted to identify the trajectories of physical frailty and trajectories of cognitive impairment, and to estimate the association between older residents’ characteristics at admission with each set of trajectories. A dual trajectory model was used to quantify the association between the physical frailty trajectories and cognitive impairment trajectories. Results Over the course of the first six months post-admission, five physical frailty trajectories [“Consistently Frail” (prevalence: 53.0%), “Consistently Pre-frail” (29.0%), “Worsening Frailty” (7.6%), “Improving Frailty” (5.5%), and “Consistently Robust” (4.8%)] and three cognitive impairment trajectories [“Consistently Severe Cognitive Impairment” (35.5%), “Consistently Moderate Cognitive Impairment” (31.8%), “Consistently Intact/Mild Cognitive Impairment” (32.7%)] were identified. One in five older residents simultaneously followed the trajectories of “Consistently Frail” and “Consistently Severe Cognitive Impairment”. Characteristics associated with higher odds of the “Improving Frailty”, “Worsening Frailty”, “Consistently Pre-frail” and “Consistently Frail” trajectories included greater at-admission cognitive impairment, age ≥ 85 years, admitted from acute hospitals, cardiovascular/metabolic diagnoses, neurological diagnoses, hip or other fractures, and presence of pain. Characteristics associated with higher odds of the “Consistently Moderate Cognitive Impairment” and “Consistently Severe Cognitive Impairment” included worse at-admission physical frailty, neurological diagnoses, hip fracture, and receipt of antipsychotics. Conclusions Findings provided information regarding the trajectories of physical frailty, the trajectories of cognitive impairment, the association between the two sets of trajectories, and their association with residents’ characteristics in older adults’ first six months post-admission to U.S. nursing homes. Understanding the trajectory that the residents would most likely follow may provide information to develop a comprehensive care approach tailored to their specific healthcare goals. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03012-8.
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Affiliation(s)
- Yiyang Yuan
- Clinical and Population Health Research PhD Program, Graduate School of Biomedical Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA. .,Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.
| | - Kate L Lapane
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Jennifer Tjia
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Jonggyu Baek
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Shao-Hsien Liu
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Christine M Ulbricht
- Formerly: Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA.,Currently: National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
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