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López-Novis I, Marques-Sule E, Deka P, Dobarrio-Sanz I, Klompstra L, Hernández-Padilla JM. Exploring physical activity experiences of community-dwelling oldest-old adults with chronic multimorbidity: A qualitative study. J Adv Nurs 2024. [PMID: 39152567 DOI: 10.1111/jan.16403] [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: 02/24/2024] [Revised: 07/22/2024] [Accepted: 08/02/2024] [Indexed: 08/19/2024]
Abstract
AIM To explore the physical activity experiences of community-dwelling oldest-old adults with chronic multimorbidity. DESIGN Descriptive qualitative study. METHOD Data collection was conducted through semi-structured interviews with 19 community-dwelling oldest-old adults with chronic multimorbidity. The study was conducted between December 2022 and May 2023. ATLAS.ti software was used for data analysis. RESULTS Three main themes with their respective sub-themes and units of meaning were developed from the data analysis: (1) motivational factors for engaging in physical activity; (2) fear of getting hurt during physical activity and (3) confidence in being physically active. CONCLUSION Motivation, kinesiophobia and confidence are three core elements that influence the experience of physical activity in oldest-old adults with chronic multimorbidity. Interventions tailored to meet the needs of the oldest-old adults are important for promotion and development of active ageing. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE Nurses and other healthcare professionals should design, implement and evaluate interventions that aim to increase oldest-old adults' motivation and confidence, while decreasing their fear to engage in physical activity. IMPACT This study provides insights into the way community-dwelling oldest-old adults with chronic multimorbidity experience physical activity in their daily lives. Our findings suggest that motivation, kinesiophobia and confidence are key factors for oldest-old adults to engage in physical activity. These findings could contribute to the design and implementation of interventions that specifically aim at raising the physical activity levels of community-dwelling oldest-old adults with chronic multimorbidity. REPORTING METHOD The study findings are reported according to the COREQ guidelines. PATIENT OR PUBLIC CONTRIBUTION No patient or public contribution.
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Affiliation(s)
| | - Elena Marques-Sule
- Physiotherapy in Motion, Multispeciality Research Group (PTinMOTION), Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Pallav Deka
- College of Nursing, Michigan State University, East Lansing, Michigan, USA
| | - Iria Dobarrio-Sanz
- Faculty of Health Sciences, Department of Nursing, Physiotherapy and Medicine, University of Almeria, Almeria, Spain
| | - Leonie Klompstra
- Department of Health, Medicine and Caring Sciences, Linkoping University, Linkoping, Sweden
| | - José Manuel Hernández-Padilla
- Faculty of Health Sciences, Department of Nursing, Physiotherapy and Medicine, University of Almeria, Almeria, Spain
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Feng Y, Su M, Wang J, Liu L, Shao D, Sun X. Unveiling the multi-dimensional frailty network among older cancer survivors in China: A network analysis study. J Geriatr Oncol 2024:101833. [PMID: 39003117 DOI: 10.1016/j.jgo.2024.101833] [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: 04/19/2024] [Revised: 06/17/2024] [Accepted: 07/02/2024] [Indexed: 07/15/2024]
Abstract
INTRODUCTION Frailty has a significant impact on the overall quality of life of older cancer survivors, but the relationships among frailty symptoms are not well understood. This study aims to explore the specific associations among multidimensional symptoms of frailty among older cancer survivors by employing network analysis to provide supportive evidence for targeted interventions in the future. MATERIALS AND METHODS Data were obtained by cluster sampling from three large Grade-A tertiary hospitals in Shandong Province, China, and collected through face-to-face interviews by trained investigators. We included patients who were diagnosed with a solid malignant tumor at the age of 60 years or older. Frailty indicators were measured by the Groningen Frailty Indicator (GFI) and analyzed primarily through network analysis, including network estimation, centrality, and stability analysis. The relative importance of a node in a network was tested by centrality analyses, and Spearman correlations were applied to estimate the relationships between symptom pairs (symptom score) and symptom clusters (standardized symptom score) in the symptom network. In terms of centrality, the indexes of strength, closeness, and betweenness were adopted to measure the importance of nodes. RESULTS Five hundred and eight older cancer survivors were included, with an average age of 68.4 years (standard deviation [SD] = 5.4), and a higher proportion were male (n = 307[60.4%]). The prevalence of frailty among older cancer survivors was 58.9% (n = 299), with a mean GFI score of 4.46 (SD = 2.87). The strongest edge was between "dressing and undressing" and "going to the toilet" (r = 0.58). The nodes with the higher strength centrality were "going to the toilet" (rS=1.09), "walking around outside" (rS=0.97), and "part of social network" (rS=0.96); and the nodes with the higher closeness centrality were "mark physical fitness" (rC=0.005), "calm and relaxed" (rC=0.005), and "nervous or downhearted" (rC=0.005). DISCUSSION This study demonstrated that older cancer survivors in China have a high prevalence of frailty, with self-care and social participation-related symptoms playing a key role in the multidimensional network of frailty symptoms. Psychological symptoms can rapidly influence other symptoms within this network. Therefore, prioritizing psychological symptoms in the assessment of older adults with cancer is essential for effective frailty management.
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Affiliation(s)
- Yujia Feng
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China; National Health Commission Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Mingzhu Su
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China; National Health Commission Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China.
| | - Jiamin Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China; National Health Commission Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Li Liu
- Cardial Surgery Intensive Care Unit of Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Di Shao
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China; National Health Commission Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China
| | - Xiaojie Sun
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China; National Health Commission Key Lab of Health Economics and Policy Research, Shandong University, Jinan, China; Institute of State Governance, Shandong University, Jinan, China.
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Krivoshapova K, Tsygankova D, Bazdyrev E, Barbarash O. Frailty as an Independent Predictor of Adverse Outcomes in Patients Undergoing Direct Myocardial Revascularization. Diagnostics (Basel) 2024; 14:1419. [PMID: 39001309 PMCID: PMC11241404 DOI: 10.3390/diagnostics14131419] [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: 04/22/2024] [Revised: 06/29/2024] [Accepted: 07/01/2024] [Indexed: 07/16/2024] Open
Abstract
The aim of this study was to analyze the incidence and anamnestic characteristics of frail patients with stable coronary artery disease (CAD) and to evaluate the role of frailty in the development of complications and adverse outcomes in the perioperative period and early survival period after coronary artery bypass grafting (CABG). MATERIAL AND METHODS The study included 387 patients admitted to the clinic for a scheduled primary CABG. A seven-item questionnaire, "PRISMA-7", was used to identify frail elderly patients before the procedure. We divided the study sample into two groups, taking into account the results of the survey: patients without frailty, n0 = 300 (77.5%), and patients with frailty, n1 = 87 (22.5%). The anamnestic and laboratory data, outcome of the surgical intervention, perioperative and early complications, and adverse outcomes were analyzed. RESULTS We detected frailty in 22.5% of the patients with CAD before the procedure. According to the anamnestic data and paraclinical and intraoperative findings, the groups of patients with and without frailty were comparable. The differences were revealed in the intraoperative and early postoperative periods of CABG. Thus, postoperative rhythm disturbances (19.5% vs. 10.5%, p = 0.025, V = 0.115, respectively) and transient ischemic attacks/stroke (5.7% vs. 1.3%, p = 0.031, V = 0.122, respectively) occurred significantly more often among the frail patients. There were no significant differences between the groups in the frequency of other intraoperative and early postoperative complications. In the group of frail patients, four fatal outcomes due to early postoperative ischemia were recorded, and among patients without frailty, one fatal outcome was recorded (4.5% vs. 0.3%, p = 0.010, V = 0.156, respectively). At the 1-year follow-up visit, the presence of frailty in history served as a predictor of mortality (11.5% vs. 0.6%, p ˂ 0.001, V = 0.290, respectively). CONCLUSION The presence of frailty can be used as an independent predictor of an unfavorable prognosis in patients with CAD, both in the perioperative and early survival period after CABG. It should be taken into account during surgical risk assessment.
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Affiliation(s)
- Kristina Krivoshapova
- Federal State Budgetary Institution "Research Institute for Complex Issues of Cardiovascular Diseases", Kemerovo 650002, Russia
| | - Daria Tsygankova
- Federal State Budgetary Institution "Research Institute for Complex Issues of Cardiovascular Diseases", Kemerovo 650002, Russia
| | - Evgeny Bazdyrev
- Federal State Budgetary Institution "Research Institute for Complex Issues of Cardiovascular Diseases", Kemerovo 650002, Russia
| | - Olga Barbarash
- Federal State Budgetary Institution "Research Institute for Complex Issues of Cardiovascular Diseases", Kemerovo 650002, Russia
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Lee SI, Huh JW, Hong SB, Koh Y, Lim CM. Age Distribution and Clinical Results of Critically Ill Patients above 65-Year-Old in an Aging Society: A Retrospective Cohort Study. Tuberc Respir Dis (Seoul) 2024; 87:338-348. [PMID: 38419573 PMCID: PMC11222105 DOI: 10.4046/trd.2023.0155] [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: 10/02/2023] [Revised: 12/06/2023] [Accepted: 02/27/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Increasing age has been observed among patients admitted to the intensive care unit (ICU). Age traditionally considered a risk factor for ICU mortality. We investigated how the epidemiology and clinical outcomes of older ICU patients have changed over a decade. METHODS We analyzed patients admitted to the ICU at a university hospital in Seoul, South Korea. We defined patients aged 65 and older as older patients. Changes in age groups and mortality risk factors over the study period were analyzed. RESULTS A total of 32,322 patients were enrolled who aged ≥65 years admitted to the ICUs between January 1, 2007, and December 31, 2017. Patients aged ≥65 years accounted for 35% and of these, the older (O, 65 to 74 years) comprised 19,630 (66.5%), very older (VO, 75 to 84 years) group 8,573 (29.1%), and very very older (VVO, ≥85 years) group 1,300 (4.4%). The mean age of ICU patients over the study period increased (71.9±5.6 years in 2007 vs. 73.2±6.1 years in 2017) and the proportions of the VO and VVO group both increased. Over the period, the proportion of female increased (37.9% in 2007 vs. 43.3% in 2017), and increased ICU admissions for medical reasons (39.7% in 2007 vs. 40.2% in 2017). In-hospital mortality declined across all older age groups, from 10.3% in 2007 to 7.6% in 2017. Hospital length of stay (LOS) decreased in all groups, but ICU LOS decreased only in the O and VO groups. CONCLUSION The study indicates a changing demographic in ICUs with an increase in older patients, and suggests a need for customized ICU treatment strategies and resources.
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Affiliation(s)
- Song I Lee
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Republic of Korea
| | - Jin Won Huh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Sang-Bum Hong
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Younsuck Koh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Chae-Man Lim
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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Ito Y, Iwagami M, Komiyama J, Hamasaki Y, Kuroda N, Suzuki A, Ito T, Goto T, Wan EYF, Lai FTT, Tamiya N. Clinical subtypes of older adults starting long-term care in Japan and their association with prognoses: a data-driven cluster analysis. Sci Rep 2024; 14:14911. [PMID: 38942898 PMCID: PMC11213852 DOI: 10.1038/s41598-024-65699-6] [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: 03/08/2024] [Accepted: 06/24/2024] [Indexed: 06/30/2024] Open
Abstract
We aimed to identify the clinical subtypes in individuals starting long-term care in Japan and examined their association with prognoses. Using linked medical insurance claims data and survey data for care-need certification in a large city, we identified participants who started long-term care. Grouping them based on 22 diseases recorded in the past 6 months using fuzzy c-means clustering, we examined the longitudinal association between clusters and death or care-need level deterioration within 2 years. We analyzed 4,648 participants (median age 83 [interquartile range 78-88] years, female 60.4%) between October 2014 and March 2019 and categorized them into (i) musculoskeletal and sensory, (ii) cardiac, (iii) neurological, (iv) respiratory and cancer, (v) insulin-dependent diabetes, and (vi) unspecified subtypes. The results of clustering were replicated in another city. Compared with the musculoskeletal and sensory subtype, the adjusted hazard ratio (95% confidence interval) for death was 1.22 (1.05-1.42), 1.81 (1.54-2.13), and 1.21 (1.00-1.46) for the cardiac, respiratory and cancer, and insulin-dependent diabetes subtypes, respectively. The care-need levels more likely worsened in the cardiac, respiratory and cancer, and unspecified subtypes than in the musculoskeletal and sensory subtype. In conclusion, distinct clinical subtypes exist among individuals initiating long-term care.
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Affiliation(s)
- Yuji Ito
- Department of General Internal Medicine, Chutoen General Medical Center, Kakegawa, Shizuoka, Japan
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Masao Iwagami
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan.
- Department of Health Services Research, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
| | - Jun Komiyama
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Health Services Research, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Yoko Hamasaki
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Health Services Research, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Naoaki Kuroda
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Health Department, Tsukuba City, Ibaraki, Japan
- Department of Public Mental Health Research, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Ai Suzuki
- Department of Health Services Research, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Health Department, Tsukuba City, Ibaraki, Japan
| | - Tomoko Ito
- Department of Nursing, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | | | - Eric Y F Wan
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong
| | - Francisco T T Lai
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Sha Tin, Hong Kong
| | - Nanako Tamiya
- Health Services Research and Development Center, University of Tsukuba, Tsukuba, Ibaraki, Japan
- Department of Health Services Research, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
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Zhong J, Chen L, Li C, Li J, Niu Y, Bai X, Wen H, Diao Z, Yan H, Xu M, Huang W, Xu Z, Liang X, Liu D. Association of lifestyles and multimorbidity with mortality among individuals aged 60 years or older: Two prospective cohort studies. SSM Popul Health 2024; 26:101673. [PMID: 38779456 PMCID: PMC11109000 DOI: 10.1016/j.ssmph.2024.101673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/28/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024] Open
Abstract
Lifestyles are associated with all-cause mortality, yet limited research has explored the association in the elderly population with multimorbidity. We aim to investigate the impact of adopting a healthy lifestyle on reducing the risk of all-cause mortality in older individuals with or without multimorbidity in both China and UK. This prospective study included 29,451 and 173,503 older adults aged 60 and over from Chinese Longitudinal Healthy Longevity Survey (CLHLS) and UK Biobank. Lifestyles and multimorbidity were categorized into three groups, respectively. Cox proportional hazards regression was used to estimate the Hazard Ratios (HRs), 95% confidence intervals (95% CIs), and dose-response for all-cause mortality in relation to lifestyles and multimorbidity, as well as the combination of both factors. During a mean follow-up period of 4.7 years in CLHLS and 12.14 years in UK Biobank, we observed 21,540 and 20,720 deaths, respectively. For participants with two or more conditions, compared to those with an unhealthy lifestyle, adopting a healthy lifestyle was associated with a 27%-41% and 22%-42% reduction in mortality risk in the CLHLS and UK Biobank, respectively; Similarly, for individuals without multimorbidity, this reduction ranged from 18% to 41%. Among participants with multimorbidity, individuals with an unhealthy lifestyle had a higher mortality risk compared to those maintaining a healthy lifestyle, with HRs of 1.15 (95% CI: 1.00, 1.32) and 1.27 (95% CI: 1.16, 1.39) for two conditions, and 1.24 (95% CI: 1.06, 1.45) and 1.73 (95% CI: 1.56, 1.91) for three or more conditions in CLHLS and UK Biobank, respectively. Adherence to a healthy lifestyle can yield comparable mortality benefits for older individuals, regardless of their multimorbidity status. Furthermore, maintaining a healthy lifestyle can alleviate the mortality risks linked to a higher number of diseases.
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Affiliation(s)
- Jianfeng Zhong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Lianhong Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Chengping Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Jing Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Yingying Niu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Xuerui Bai
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Huiyan Wen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zhiquan Diao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Haoyu Yan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Miao Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Wenqi Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zhitong Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Xiaofeng Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, China
- Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou, China
| | - Dan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
- Laboratory of Viral Pathogenesis & Infection Prevention and Control (Jinan University), Ministry of Education, Guangzhou, China
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Gao PY, Ma LZ, Wang XJ, Wu BS, Huang YM, Wang ZB, Fu Y, Ou YN, Feng JF, Cheng W, Tan L, Yu JT. Physical frailty, genetic predisposition, and incident dementia: a large prospective cohort study. Transl Psychiatry 2024; 14:212. [PMID: 38802408 PMCID: PMC11130190 DOI: 10.1038/s41398-024-02927-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 05/10/2024] [Accepted: 05/13/2024] [Indexed: 05/29/2024] Open
Abstract
Physical frailty and genetic factors are both risk factors for increased dementia; nevertheless, the joint effect remains unclear. This study aimed to investigated the long-term relationship between physical frailty, genetic risk, and dementia incidence. A total of 274,194 participants from the UK Biobank were included. We applied Cox proportional hazards regression models to estimate the association between physical frailty and genetic and dementia risks. Among the participants (146,574 females [53.45%]; mean age, 57.24 years), 3,353 (1.22%) new-onset dementia events were recorded. Compared to non-frailty, the hazard ratio (HR) for dementia incidence in prefrailty and frailty was 1.396 (95% confidence interval [CI], 1.294-1.506, P < 0.001) and 2.304 (95% CI, 2.030-2.616, P < 0.001), respectively. Compared to non-frailty and low polygenic risk score (PRS), the HR for dementia risk was 3.908 (95% CI, 3.051-5.006, P < 0.001) for frailty and high PRS. Furthermore, among the participants, slow walking speed (HR, 1.817; 95% CI, 1.640-2.014, P < 0.001), low physical activity (HR, 1.719; 95% CI, 1.545-1.912, P < 0.001), exhaustion (HR, 1.670; 95% CI, 1.502-1.856, P < 0.001), low grip strength (HR, 1.606; 95% CI, 1.479-1.744, P < 0.001), and weight loss (HR, 1.464; 95% CI, 1.328-1.615, P < 0.001) were independently associated with dementia risk compared to non-frailty. Particularly, precise modulation for different dementia genetic risk populations can also be identified due to differences in dementia risk resulting from the constitutive pattern of frailty in different genetic risk populations. In conclusion, both physical frailty and high genetic risk are significantly associated with higher dementia risk. Early intervention to modify frailty is beneficial for achieving primary and precise prevention of dementia, especially in those at high genetic risk.
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Affiliation(s)
- Pei-Yang Gao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ling-Zhi Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xue-Jie Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Ming Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zhi-Bo Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, China
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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Lu H, Dong XX, Li DL, Nie XY, Wang P, Pan CW. Multimorbidity patterns and health-related quality of life among community-dwelling older adults: evidence from a rural town in Suzhou, China. Qual Life Res 2024; 33:1335-1346. [PMID: 38353890 DOI: 10.1007/s11136-024-03608-0] [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] [Accepted: 01/11/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE The high prevalence of multimorbidity in aging societies has posed tremendous challenges to the healthcare system. The aim of our study was to comprehensively assess the association of multimorbidity patterns and health-related quality of life (HRQOL) among rural Chinese older adults. METHODS This was a cross-sectional study. Data from 4,579 community-dwelling older adults aged 60 years and above was collected by the clinical examination and questionnaire survey. Information on 10 chronic conditions was collected and the 3-Level EQ-5D (EQ-5D-3L) was adopted to measure the HRQOL of older adults. An exploratory factor analysis was performed to determine multimorbidity patterns. Regression models were fitted to explore the associations of multimorbidity patterns with specific health dimensions and overall HRQOL. RESULTS A total of 2,503 (54.7%) participants suffered from multimorbidity, and they reported lower HRQOL compared to those without multimorbidity. Three kinds of multimorbidity patterns were identified including cardiovascular-metabolic diseases, psycho-cognitive diseases and organic diseases. The associations between psycho-cognitive diseases/organic diseases and overall HRQOL assessed by EQ-5D-3L index score were found to be significant (β = - 0.097, 95% CI - 0.110, - 0.084; β = - 0.030, 95% CI - 0.038, - 0.021, respectively), and psycho-cognitive diseases affected more health dimensions. The impact of cardiovascular-metabolic diseases on HRQOL was largely non-significant. CONCLUSION Multimorbidity was negatively associated with HRQOL among older adults from rural China. The presence of the psycho-cognitive diseases pattern or the organic diseases pattern contributed to worse HRQOL. The remarkable negative impact of psycho-cognitive diseases on HRQOL necessiates more attention and relevant medical assistance to older rural adults.
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Affiliation(s)
- Heng Lu
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xing-Xuan Dong
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Dan-Lin Li
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xin-Yi Nie
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Pei Wang
- School of Public Health, Fudan University, Shanghai, China.
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, China.
| | - Chen-Wei Pan
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
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Zhu Y, Huang C, Zheng L, Li Q, Ge J, Geng S, Zhai M, Chen X, Yuan H, Li Y, Jia W, Sun K, Li Y, Ye T, Zhao Z, Liu H, Liu Z, Jiang H. Safety and efficacy of umbilical cord tissue-derived mesenchymal stem cells in the treatment of patients with aging frailty: a phase I/II randomized, double-blind, placebo-controlled study. Stem Cell Res Ther 2024; 15:122. [PMID: 38679727 PMCID: PMC11057094 DOI: 10.1186/s13287-024-03707-2] [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: 01/08/2024] [Accepted: 03/24/2024] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND Mesenchymal stem cells (MSCs) hold a great promise for cell-based therapy in the field of regenerative medicine. In this study, we aimed to evaluate the safety and efficacy of intravenous infusion of human umbilical cord-derived MSCs (HUC-MSCs) in patients with aging frailty. METHODS In this randomized, double-blind, placebo-controlled trial, participants diagnosed with aging frailty were randomly assigned to receive intravenous administrations of HUC-MSCs or placebo. All of serious adverse events and AEs were monitored to evaluate the safety of treatment during the 6-month follow-up. The primary efficacy endpoint was alteration of physical component scores (PCS) of SF-36 qualities of life at 6 months. The secondary outcomes including physical performance tests and pro-inflammatory cytokines, were also observed and compared at each follow-up visits. All evaluations were performed at 1 week, 1, 2, 3 and 6 months following the first intravenous infusion of HUC-MSCs. RESULTS In the MSCs group, significant improvements in PCS of SF-36 were observed from first post-treatment visit and sustained throughout the follow-up period, with greater changes compared to the placebo group (p = 0.042). EQ-VAS scores of MSCs group improved significantly at 2 month (p = 0.023) and continued until the end of the 6-month visit (p = 0.002) in comparison to the placebo group. The timed up and go (TUG) physical performance test revealed significant group difference and showed continual enhancements over 6 months (p < 0.05). MSC transplantation improved the function of 4-m walking test (4MWT) compared with the placebo group with a decrease of 2.05 s at 6 months of follow-up (p = 0.21). The measurement of grip strength revealed group difference with MSCs group demonstrating better performance, particularly at 6 months (p = 0.002). Inflammatory cytokines (TNF-α, IL-17) exhibited declines in MSCs group at 6 months compared to the placebo group (p = 0.034 and 0.033, respectively). There was no difference of incidence of AEs between the two groups. CONCLUSION Intravenous transplantation of HUC-MSCs is a safe and effective therapeutic approach on aging frailty. The positive outcomes observed in improving quality of life, physical performance, and reducing chronic inflammation, suggest that HUC-MSC therapy may be a promising potential treatment option for aging frailty. TRIAL REGISTRATION Clinicaltrial.gov; NCT04314011; https://clinicaltrials.gov/ct2/show/NCT04314011 .
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Affiliation(s)
- Yingqian Zhu
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Ce Huang
- Institute for Regenerative Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai Municipality, 200032, China
| | - Liang Zheng
- Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Qingqing Li
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Jianli Ge
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - ShaSha Geng
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Miaomiao Zhai
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Xin Chen
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Huixiao Yuan
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Yang Li
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Wenwen Jia
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, China
| | - Keping Sun
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Yan Li
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Tong Ye
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Zhengmei Zhao
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China
| | - Hailiang Liu
- Institute for Regenerative Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
| | - Zhongmin Liu
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai, 200120, China.
- Department of Cardiovascular Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University, Shanghai, 200120, China.
| | - Hua Jiang
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
- Department of General Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
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10
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Gong W, Lin H, Ma X, Ma H, Lan Y, Sun P, Yang J. The regional disparities in liver disease comorbidity among elderly Chinese based on a health ecological model: the China Health and Retirement Longitudinal Study. BMC Public Health 2024; 24:1123. [PMID: 38654168 PMCID: PMC11040959 DOI: 10.1186/s12889-024-18494-x] [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: 08/21/2023] [Accepted: 03/31/2024] [Indexed: 04/25/2024] Open
Abstract
PURPOSE This study aimed to investigate the risk factors for liver disease comorbidity among older adults in eastern, central, and western China, and explored binary, ternary and quaternary co-morbid co-causal patterns of liver disease within a health ecological model. METHOD Basic information from 9,763 older adults was analyzed using data from the China Health and Retirement Longitudinal Study (CHARLS). LASSO regression was employed to identify significant predictors in eastern, central, and western China. Patterns of liver disease comorbidity were studied using association rules, and spatial distribution was analyzed using a geographic information system. Furthermore, binary, ternary, and quaternary network diagrams were constructed to illustrate the relationships between liver disease comorbidity and co-causes. RESULTS Among the 9,763 elderly adults studied, 536 were found to have liver disease comorbidity, with binary or ternary comorbidity being the most prevalent. Provinces with a high prevalence of liver disease comorbidity were primarily concentrated in Inner Mongolia, Sichuan, and Henan. The most common comorbidity patterns identified were "liver-heart-metabolic", "liver-kidney", "liver-lung", and "liver-stomach-arthritic". In the eastern region, important combination patterns included "liver disease-metabolic disease", "liver disease-stomach disease", and "liver disease-arthritis", with the main influencing factors being sleep duration of less than 6 h, frequent drinking, female, and daily activity capability. In the central region, common combination patterns included "liver disease-heart disease", "liver disease-metabolic disease", and "liver disease-kidney disease", with the main influencing factors being an education level of primary school or below, marriage, having medical insurance, exercise, and no disabilities. In the western region, the main comorbidity patterns were "liver disease-chronic lung disease", "liver disease-stomach disease", "liver disease-heart disease", and "liver disease-arthritis", with the main influencing factors being general or poor health satisfaction, general or poor health condition, severe pain, and no disabilities. CONCLUSION The comorbidities associated with liver disease exhibit specific clustering patterns at both the overall and local levels. By analyzing the comorbidity patterns of liver diseases in different regions and establishing co-morbid co-causal patterns, this study offers a new perspective and scientific basis for the prevention and treatment of liver diseases.
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Affiliation(s)
- Wei Gong
- Public Health School, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750004, China
- School of Medical Information and Engineering, Ningxia Medical University, Yinchuan, 750004, China
| | - Hong Lin
- Public Health School, Ningxia Medical University, Yinchuan, 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750004, China
| | - Xiuting Ma
- Public Health School, Ningxia Medical University, Yinchuan, 750004, China
| | - Hongliang Ma
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750004, China
| | - Yali Lan
- Public Health School, Ningxia Medical University, Yinchuan, 750004, China
| | - Peng Sun
- Public Health School, Ningxia Medical University, Yinchuan, 750004, China.
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750004, China.
- Research Center for Medical Science and Technology, Ningxia Medical University, Yinchuan, 750004, China.
- Ningxia Institute of Medical Science, Yinchuan, 750004, China.
| | - Jianjun Yang
- Public Health School, Ningxia Medical University, Yinchuan, 750004, China.
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750004, China.
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11
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Yang M, Liu Y, Zhao Y, Wang Z, He J, Wang Y, Anme T. Association of Frailty with Patient-Report Outcomes and Major Clinical Determinants in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease. Int J Chron Obstruct Pulmon Dis 2024; 19:907-919. [PMID: 38628984 PMCID: PMC11020290 DOI: 10.2147/copd.s444580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 04/07/2024] [Indexed: 04/19/2024] Open
Abstract
Purpose This study aimed to explore the correlation of frailty status with disease characteristics and patient-reported outcomes (PROs) in patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) and determine the sensitivity and specificity of modified COPD PRO scale (mCOPD-PRO) for detecting frailty. Patients and Methods This cross-sectional study surveyed 315 inpatients with AECOPD from a tertiary hospital in China from August 2022 to June 2023. Patient frailty and PROs were assessed using the validated FRAIL scale and mCOPD-PRO, respectively. Spearman's ρ was used to assess the relevance of lung disease indicators commonly used in clinical practice, and ordinal logistic regression analyses were used to identify the variables associated with frailty status. The validity of mCOPD-PRO in discriminating frail or non-frail individuals was determined using the receiver operating characteristic curve. Results The participants (N=302, mean age 72.4±9.1 years) were predominantly males (73.2%). Among them, 43 (14.3%) patients were not frail, whereas 123 (40.7%) and 136 (45.0%) patients were pre-frail and frail, respectively. The FRAIL scale was moderately correlated with the mCOPD-PRO scores (Spearman's rank correlation coefficient [Rs]=0.52, P<0.01) for all dimensions (Rs=0.43-0.49, P<0.01). Patients residing in rural areas (odds ratio [OR], 1.67; 95% confidence interval [95% CI], 1.01-2.76) and with higher mCOPD-PRO scores (OR, 4.78; 95% CI, 2.75-8.32) were more likely to be frail. Physically active patients (OR, 0.42; 95% CI, 0.21-0.84) were less likely to be frail. In addition, mCOPD-PRO had good discriminate validity for detecting frailty (area under the curve=0.78), with a sensitivity and specificity of 84.6% and 60.8%, respectively. The optimal probability threshold for mCOPD-PRO was ≥1.52 points. Conclusion In patients with AECOPD, frailty is closely related to PROs and disease characteristics. Additionally, the mCOPD-PRO score can distinguish well between frail and non-frail patients. Our findings provide support for interventions targeting frail populations with AECOPD.
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Affiliation(s)
- Mengjiao Yang
- Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Japan
- Department of Cardiovascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, People’s Republic of China
| | - Yang Liu
- Graduate School of Comprehensive Human Science, University of Tsukuba, Tsukuba, Japan
| | - Yangyang Zhao
- Department of Blood Transfusion, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, People’s Republic of China
| | - Ziwei Wang
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, People’s Republic of China
| | - Jie He
- Department of Nursing, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, People’s Republic of China
| | - Yali Wang
- Department of Cardiovascular Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, People’s Republic of China
| | - Tokie Anme
- Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
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12
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Xia X, Jönsson L, Tazzeo C, Qiu C, Rizzuto D, Laukka EJ, Grande G, Fratiglioni L, Vetrano DL. Associations of Orthostatic Hypotension and Frailty With Dementia and Mortality in Older Adults: A Population-Based Cohort Study. J Gerontol A Biol Sci Med Sci 2024; 79:glae010. [PMID: 38195215 PMCID: PMC10919881 DOI: 10.1093/gerona/glae010] [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: 08/23/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND This study aimed to assess the associations of orthostatic hypotension (OH), in the presence or absence of frailty, with dementia and mortality in older adults. METHODS We conducted a 15-year population-based cohort study including 2 703 baseline dementia-free individuals from the Swedish National Study on Aging and Care in Kungsholmen. At baseline, OH was defined as a decline in systolic/diastolic blood pressure ≥20/10 mm Hg 1 minute after standing up from a supine position. Frailty status was defined following Fried's frailty phenotype. Dementia was diagnosed following the Diagnostic and Statistical Manual of Mental Disorders-fourth edition criteria. Multistate flexible parametric survival models were used to estimate associations of OH and frailty with dementia and mortality. RESULTS Robust people with OH (adjusted hazard ratio [HR] = 2.28; 95% confidence interval [CI] = 1.47-3.54) and frail people without OH (HR = 1.98; 95% CI = 1.40-2.82) or with OH (HR = 2.73; 95% CI = 1.82-4.10) had a higher dementia risk than OH-free and robust people. Moreover, frail people, independently of the presence of OH, had higher mortality rate than OH-free and robust people. In individuals who developed dementia during the follow-up period, neither OH nor frailty was significantly associated with mortality. CONCLUSIONS Older adults with OH, whether robust or frail, may have a higher dementia risk than those without OH. Older adults with OH, when having frailty, may have a higher mortality rate than those without OH. The concurrent assessments of OH and frailty may provide prognostic values in terms of dementia and mortality risk in older adults.
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Affiliation(s)
- Xin Xia
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet–Stockholm University, Stockholm, Sweden
| | - Linus Jönsson
- Section for Neurogeriatrics, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden
| | - Clare Tazzeo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet–Stockholm University, Stockholm, Sweden
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet–Stockholm University, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet–Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet–Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet–Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet–Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Davide Liborio Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet–Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
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13
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Triolo F, Vetrano DL, Sjöberg L, Calderón-Larrañaga A, Belvederi Murri M, Fratiglioni L, Dekhtyar S. Somatic disease burden and depression risk in late life: a community-based study. Epidemiol Psychiatr Sci 2024; 33:e6. [PMID: 38327092 PMCID: PMC10894701 DOI: 10.1017/s2045796024000064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/28/2023] [Accepted: 01/15/2024] [Indexed: 02/09/2024] Open
Abstract
AIMS Co-occurring somatic diseases exhibit complex clinical profiles, which can differentially impact the development of late-life depression. Within a community-based cohort, we aimed to explore the association between somatic disease burden, both in terms of the number of diseases and their patterns, and the incidence of depression in older people. METHODS We analysed longitudinal data of depression- and dementia-free individuals aged 60+ years from the population-based Swedish National Study on Aging and Care in Kungsholmen. Depression diagnoses were clinically ascertained following the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision over a 15-year follow-up. Somatic disease burden was assessed at baseline through a comprehensive list of chronic diseases obtained by combining information from clinical examinations, medication reviews and national registers and operationalized as (i) disease count and (ii) patterns of co-occurring diseases from latent class analysis. The association of somatic disease burden with depression incidence was investigated using Cox models, accounting for sociodemographic, lifestyle and clinical factors. RESULTS The analytical sample comprised 2904 people (mean age, 73.2 [standard deviation (SD), 10.5]; female, 63.1%). Over the follow-up (mean length, 9.6 years [SD, 4 years]), 225 depression cases were detected. Each additional disease was associated with the occurrence of any depression in a dose-response manner (hazard ratio [HR], 1.16; 95% confidence interval [CI]: 1.08, 1.24). As for disease patterns, individuals presenting with sensory/anaemia (HR, 1.91; 95% CI: 1.03, 3.53), thyroid/musculoskeletal (HR, 1.90; 95% CI: 1.06, 3.39) and cardiometabolic (HR, 2.77; 95% CI: 1.40, 5.46) patterns exhibited with higher depression hazards, compared to those without 2+ diseases (multimorbidity). In the subsample of multimorbid individuals (85%), only the cardiometabolic pattern remained associated with a higher depression hazard compared to the unspecific pattern (HR, 1.71; 95% CI: 1.02, 2.84). CONCLUSIONS Both number and patterns of co-occurring somatic diseases are associated with an increased risk of late-life depression. Mental health should be closely monitored among older adults with high somatic burden, especially if affected by cardiometabolic multimorbidity.
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Affiliation(s)
- Federico Triolo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Davide Liborio Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Linnea Sjöberg
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Amaia Calderón-Larrañaga
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Martino Belvederi Murri
- Institute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Serhiy Dekhtyar
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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14
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Li T, Hu W, Han Q, Wang Y, Ma Z, Chu J, He Q, Feng Z, Sun N, Shen Y. Trajectories of quality of life and cognition in different multimorbidity patterns: Evidence from SHARE. Arch Gerontol Geriatr 2024; 117:105219. [PMID: 37812973 DOI: 10.1016/j.archger.2023.105219] [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: 07/23/2023] [Revised: 10/01/2023] [Accepted: 10/03/2023] [Indexed: 10/11/2023]
Abstract
OBJECTIVES The study aimed to observe the trajectory of quality of life (QoL) and cognition, and to a analyze the bidirectional association between cognition and QoL for diverse multimorbidity patterns. METHODS In total, 16,153 older participants age ≥50 years were included from the Survey of Health, Ageing and Retirement in Europe (SHARE). We used latent class analysis (LCA) to identify multimorbidity patterns in the baseline population. We used linear mixed models (LMM) to examine the trajectory of cognition and QoL in different multimorbidity patterns. A cross-lagged model was employed to analyze the bidirectional association between cognition and QoL in diverse multimorbidity patterns. RESULTS Latent class analysis identified four multimorbidity patterns: high and low comorbidity burden (HC and LC), cardiometabolic (CA), and osteoarthrosis (OS). The HC group had the poorest cognitive function and QoL (p for trend < 0.001). Delayed and immediate episodic memory in the OS group declined at a highest rate (p for trend < 0.001). Additionally, a bidirectional association between cognition and QoL was observed. The effect of cognitive function on QoL was relatively stronger than the reverse in the CA and LC groups. CONCLUSIONS The rate of decline in cognition and QoL over the time differs in diverse multimorbidity patterns, and patients with four or more chronic diseases should be specially considered. Notably, early monitoring of cognitive function and can help break the vicious cycle between cognitive deterioration and poor QoL in patients with OS or CA diseases.
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Affiliation(s)
- Tongxing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Wei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Qiang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Ze Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Jiadong Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Qida He
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Zhaolong Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Na Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Yueping Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China.
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Fogg C, England T, Zhu S, Jones J, de Lusignan S, Fraser SDS, Roderick P, Clegg A, Harris S, Brailsford S, Barkham A, Patel HP, Walsh B. Primary and secondary care service use and costs associated with frailty in an ageing population: longitudinal analysis of an English primary care cohort of adults aged 50 and over, 2006-2017. Age Ageing 2024; 53:afae010. [PMID: 38337044 PMCID: PMC10857897 DOI: 10.1093/ageing/afae010] [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: 09/07/2023] [Revised: 11/23/2023] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Frailty becomes more prevalent and healthcare needs increase with age. Information on the impact of frailty on population level use of health services and associated costs is needed to plan for ageing populations. AIM To describe primary and secondary care service use and associated costs by electronic Frailty Index (eFI) category. DESIGN AND SETTING Retrospective cohort using electronic health records. Participants aged ≥50 registered in primary care practices contributing to the Oxford Royal College of General Practitioners Research and Surveillance Centre, 2006-2017. METHODS Primary and secondary care use (totals and means) were stratified by eFI category and age group. Standardised 2017 costs were used to calculate primary, secondary and overall costs. Generalised linear models explored associations between frailty, sociodemographic characteristics. Adjusted mean costs and cost ratios were produced. RESULTS Individual mean annual use of primary and secondary care services increased with increasing frailty severity. Overall cohort care costs for were highest in mild frailty in all 12 years, followed by moderate and severe, although the proportion of the population with severe frailty can be expected to increase over time. After adjusting for sociodemographic factors, compared to the fit category, individual annual costs doubled in mild frailty, tripled in moderate and quadrupled in severe. CONCLUSIONS Increasing levels of frailty are associated with an additional burden of individual service use. However, individuals with mild and moderate frailty contribute to higher overall costs. Earlier intervention may have the most potential to reduce service use and costs at population level.
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Affiliation(s)
- Carole Fogg
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Tracey England
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Shihua Zhu
- School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Jeremy Jones
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Simon D S Fraser
- School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Paul Roderick
- School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Andy Clegg
- Academic Unit for Ageing & Stroke Research, University of Leeds, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Scott Harris
- School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Sally Brailsford
- Southampton Business School, University of Southampton, Southampton, UK
| | - Abigail Barkham
- Southern Health NHS Foundation Trust, Unit 1 Wessex Way, Colden Common, Winchester SO21 1WP, UK
| | - Harnish P Patel
- University Hospitals Southampton NHS Foundation Trust, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, Southampton Centre for Biomedical Research, Southampton, UK
| | - Bronagh Walsh
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
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Torrell G, Puente D, Jacques-Aviñó C, Carrasco-Ribelles LA, Violán C, López-Jiménez T, Royano V, Cantón AM, Medina-Perucha L, Rodríguez-Giralt I, Berenguera A. Characterisation, symptom pattern and symptom clusters from a retrospective cohort of Long COVID patients in primary care in Catalonia. BMC Infect Dis 2024; 24:82. [PMID: 38225587 PMCID: PMC10789045 DOI: 10.1186/s12879-023-08954-x] [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: 04/11/2023] [Accepted: 12/27/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Around 10% of people infected by SARS-COV-2 report symptoms that persist longer than 3 months. Little has been reported about sex differences in symptoms and clustering over time of non-hospitalised patients in primary care settings. METHODS This is a descriptive study of a cohort of mainly non-hospitalized patients with a persistence of symptoms longer than 3 months from the clinical onset in co-creation with the Long Covid Catalan affected group using an online survey. Recruitment was from March 2020 to June 2021. Exclusion criteria were being admitted to an ICU, < 18 years of age and not living in Catalonia. We focused on 117 symptoms gathered in 18 groups and performed cluster analysis over the first 21 days of infection, at 22-60 days, and ≥ 3 months. RESULTS We analysed responses of 905 participants (80.3% women). Median time between symptom onset and the questionnaire response date was 8.7 months. General symptoms (as fatigue) were the most prevalent with no differences by sex, age, or wave although its frequency decreased over time (from 91.8 to 78.3%). Dermatological (52.1% in women, 28.5% in men), olfactory (34.9% women, 20.9% men) and neurocognitive symptoms (70.1% women, 55.8% men) showed the greatest differences by sex. Cluster analysis showed five clusters with a predominance of Taste & smell (24.9%) and Multisystemic clusters (26.5%) at baseline and _Multisystemic (34.59%) and Heterogeneous (24.0%) at ≥3 months. The Multisystemic cluster was more prevalent in men. The Menstrual cluster was the most stable over time, while most transitions occurred from the Heterogeneous cluster to the Multisystemic cluster and from Taste & smell to Heterogeneous. CONCLUSIONS General symptoms were the most prevalent in both sexes at three-time cut-off points. Major sex differences were observed in dermatological, olfactory and neurocognitive symptoms. The increase of the Heterogeneous cluster might suggest an adaptation to symptoms or a non-specific evolution of the condition which can hinder its detection at medical appointments. A carefully symptom collection and patients' participation in research may generate useful knowledge about Long Covid presentation in primary care settings.
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Affiliation(s)
- Gemma Torrell
- Centre d'Atenció Primària Les Indianes, Gerència Territorial de Barcelona, Institut Català de la Salut, Barcelona, Spain
| | - Diana Puente
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) (RD21/0016/0029) Insitituto de Salud Carlos III, Madrid, Spain.
| | - Constanza Jacques-Aviñó
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Lucia A Carrasco-Ribelles
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) (RD21/0016/0029) Insitituto de Salud Carlos III, Madrid, Spain
- Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Mataró, Spain
- Grup de REcerca en Impacte de les Malalties Cròniques i les seves Trajectòries (GRIMTra), (2021 SGR 01537), Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAPJGol), 08008, Barcelona, Spain
| | - Concepció Violán
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) (RD21/0016/0029) Insitituto de Salud Carlos III, Madrid, Spain
- Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Mataró, Spain
- Grup de REcerca en Impacte de les Malalties Cròniques i les seves Trajectòries (GRIMTra), (2021 SGR 01537), Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAPJGol), 08008, Barcelona, Spain
- Direcció d'Atenció Primària Metropolitana Nord Institut Català de Salut, Barcelona, Spain
| | - Tomás López-Jiménez
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Veronica Royano
- Universitat Politècnica de Catalunya BarcelonaTech (UPC), Barcelona, Spain
- Members of the Col·lectiu d'Afectades i Afectats Persistents per COVID-19 a Catalunya, Barcelona, Spain
| | - Alba Molina Cantón
- Members of the Col·lectiu d'Afectades i Afectats Persistents per COVID-19 a Catalunya, Barcelona, Spain
| | - Laura Medina-Perucha
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Israel Rodríguez-Giralt
- Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, Barcelona, Spain
| | - Anna Berenguera
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) (RD21/0016/0029) Insitituto de Salud Carlos III, Madrid, Spain
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17
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Li H, Zou X, Zhang R, Zou S, Qian F, Zheng J, Xiao AY, Guo X. Association of chronic conditions and physical multimorbidity with new-onset incontinence in a nationwide prospective cohort study of older adults ≥ 50 years in China. Age Ageing 2024; 53:afad258. [PMID: 38251743 PMCID: PMC10801828 DOI: 10.1093/ageing/afad258] [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: 07/07/2023] [Revised: 10/22/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND The relationship between multimorbidity (i.e. ≥ 2 chronic conditions) and incontinence (i.e. urinary and/or faecal incontinence) is underexplored. This study investigated the association between multimorbidity and incident incontinence in Chinese adults aged ≥50 years. METHODS Data from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study were used. The association between 12 chronic conditions, multimorbidity and new-onset incontinence was analysed using weighted logistic regression models. Mediation analysis was conducted to explore the potential mediators (self-reported health, subjective memory, depressive symptoms, disability, cognitive function, handgrip strength, mobility limitations, medications and frailty status) between multimorbidity and incontinence. FINDINGS Among 9,986 individuals aged ≥50 years who were continent at baseline, 5.3% (n = 521) were newly incontinent 4 years later (incident cases). The risk of incident incontinence increased with physical multimorbidity (OR 2.04, 95% CI 1.62-2.57). Compared to no chronic condition, having 1, 2, 3 and ≥ 4 chronic conditions were associated with incident incontinence with OR (95% CI): 1.41 (1.01-1.97), 1.74 (1.24-2.44), 2.82 (1.93-4.12) and 3.99 (2.29-6.95), respectively. The association between multimorbidity and incontinence was mediated by self-reported health (41.2%), medications (26.6%), mobility limitations (20.9%), depressive symptoms (12.8%), disability (11.6%), subjective memory (8.7%) and frailty status (8.3%). CONCLUSION This longitudinal study found that physical multimorbidity and specific chronic conditions may increase the risk of new-onset incontinence among Chinese adults aged ≥50 years. Self-reported health, medications and mobility limitations seemed to be important intermediate conditions between multimorbidity and incident incontinence.
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Affiliation(s)
- Haibin Li
- Department of Cardiac Surgery, Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xinye Zou
- Cambridge Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Ruolin Zhang
- Department of Natural and Applied Science, Duke Kunshan University, No. 8 Duke Ave., Kunshan, Jiangsu 215316, China
| | - Siyu Zou
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jin Zheng
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Angela Y Xiao
- Department of International Studies, Macalester College, 1600 Grand Avenue St. Paul, St Paul, MN 55105, USA
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
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18
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Haapanen MJ, Vetrano DL, Mikkola TM, Calderón-Larrañaga A, Dekhtyar S, Kajantie E, Eriksson JG, von Bonsdorff MB. Early growth, stress, and socioeconomic factors as predictors of the rate of multimorbidity accumulation across the life course: a longitudinal birth cohort study. THE LANCET. HEALTHY LONGEVITY 2024; 5:e56-e65. [PMID: 38103563 DOI: 10.1016/s2666-7568(23)00231-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/20/2023] [Accepted: 10/26/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND Early growth, stress, and socioeconomic factors are associated with future risk of individual chronic diseases. It is uncertain whether they also affect the rate of multimorbidity accumulation later in life. This study aimed to explore whether early life factors are associated with the rate at which chronic diseases are accumulated across older age. METHODS In this national birth cohort study, we studied people born at Helsinki University Central Hospital, Helsinki, Finland between Jan 1, 1934, and Dec 31, 1944, who attended child welfare clinics in the city, and were living in Finland in 1971. Individuals who had died or emigrated from Finland before 1987 were excluded, alongside participants without any registry data and who died before the end of the registry follow-up on Dec 31, 2017. Early anthropometry, growth, wartime parental separation, and socioeconomic factors were recorded from birth, child welfare clinic, or school health-care records, and Finnish National Archives. International Classification of Diseases codes of diagnoses for chronic diseases were obtained from the Care Register for Health Care starting from 1987 (when participants were aged 42-53 years) until 2017. Linear mixed models were used to study the association between early-life factors and the rate of change in the number of chronic diseases over 10-year periods. FINDINGS From Jan 1, 1934, to Dec 31, 2017, 11 689 people (6064 [51·9%] men and 5625 [48·1%] women) were included in the study. Individuals born to mothers younger than 25 years (β 0·09; 95% CI 0·06-0·12), mothers with a BMI of 25-30 kg/m2 (0·08; 0·05-0·10), and mothers with a BMI more than 30 kg/m2 (0·26; 0·21-0·31) in late pregnancy accumulated chronic diseases faster than those born to older mothers (25-30 years) and those with a BMI of less than 25 kg/m2. Individuals with a birthweight less than 2·5 kg (0·17; 0·10-0·25) and those with a rapid growth in height and weight from birth until age 11 years accumulated chronic diseases faster during their life course. Additionally, paternal occupational class (manual workers vs upper-middle class 0·27; 0·23-0·30) and wartime parental separation (0·24; 0·19-0·29 for boys; 0·31; 0·25-0·36 for girls) were associated with a faster rate of chronic disease accumulation. INTERPRETATION Our findings suggest that the foundation for accumulating chronic diseases is established early in life. Early interventions might be needed for vulnerable populations, including war evacuee children and children with lower socioeconomic status. FUNDING Finska Läkaresällskapet, Liv och Hälsa rf, the Finnish Pediatric Research Foundation, and Folkhälsan Research Center. TRANSLATIONS For the Finnish and Swedish translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Markus J Haapanen
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Davide L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Tuija M Mikkola
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Amaia Calderón-Larrañaga
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Serhiy Dekhtyar
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Eero Kajantie
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland; Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Johan G Eriksson
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland; Yong Loo Lin School of Medicine, Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, National University Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Mikaela B von Bonsdorff
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland; Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
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19
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Beridze G, Abbadi A, Ars J, Remelli F, Vetrano DL, Trevisan C, Pérez LM, López-Rodríguez JA, Calderón-Larrañaga A. Patterns of multimorbidity in primary care electronic health records: A systematic review. JOURNAL OF MULTIMORBIDITY AND COMORBIDITY 2024; 14:26335565231223350. [PMID: 38298757 PMCID: PMC10829499 DOI: 10.1177/26335565231223350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 12/12/2023] [Indexed: 02/02/2024]
Abstract
Background Multimorbidity, the coexistence of multiple chronic conditions in an individual, is a complex phenomenon that is highly prevalent in primary care settings, particularly in older individuals. This systematic review summarises the current evidence on multimorbidity patterns identified in primary care electronic health record (EHR) data. Methods Three databases were searched from inception to April 2022 to identify studies that derived original multimorbidity patterns from primary care EHR data. The quality of the included studies was assessed using a modified version of the Newcastle-Ottawa Quality Assessment Scale. Results Sixteen studies were included in this systematic review, none of which was of low quality. Most studies were conducted in Spain, and only one study was conducted outside of Europe. The prevalence of multimorbidity (i.e. two or more conditions) ranged from 14.0% to 93.9%. The most common stratification variable in disease clustering models was sex, followed by age and calendar year. Despite significant heterogeneity in clustering methods and disease classification tools, consistent patterns of multimorbidity emerged. Mental health and cardiovascular patterns were identified in all studies, often in combination with diseases of other organ systems (e.g. neurological, endocrine). Discussion These findings emphasise the frequent coexistence of physical and mental health conditions in primary care, and provide useful information for the development of targeted preventive and management strategies. Future research should explore mechanisms underlying multimorbidity patterns, prioritise methodological harmonisation to facilitate the comparability of findings, and promote the use of EHR data globally to enhance our understanding of multimorbidity in more diverse populations.
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Affiliation(s)
- Giorgi Beridze
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Aging Research Center, Stockholm, Sweden
| | - Ahmad Abbadi
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Aging Research Center, Stockholm, Sweden
| | - Joan Ars
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Aging Research Center, Stockholm, Sweden
- RE-FiT Barcelona Research group, Vall d'Hebron Institute of Research (VHIR) and Parc Sanitari Pere Virgili, Barcelona, Spain
- Medicine Department, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Francesca Remelli
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Davide L Vetrano
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Aging Research Center, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Caterina Trevisan
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Aging Research Center, Stockholm, Sweden
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Laura-Mónica Pérez
- RE-FiT Barcelona Research group, Vall d'Hebron Institute of Research (VHIR) and Parc Sanitari Pere Virgili, Barcelona, Spain
| | - Juan A López-Rodríguez
- Research Unit, Primary Health Care Management, Madrid, Spain
- Department of Medical Specialties and Public Health, Faculty of Health Sciences Rey Juan Carlos University, Madrid, Spain
- Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), Carlos III Health Institute, Madrid, Spain
| | - Amaia Calderón-Larrañaga
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Aging Research Center, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
- Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), Carlos III Health Institute, Madrid, Spain
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20
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Dhafari TB, Pate A, Azadbakht N, Bailey R, Rafferty J, Jalali-Najafabadi F, Martin GP, Hassaine A, Akbari A, Lyons J, Watkins A, Lyons RA, Peek N. A scoping review finds a growing trend in studies validating multimorbidity patterns and identifies five broad types of validation methods. J Clin Epidemiol 2024; 165:111214. [PMID: 37952700 DOI: 10.1016/j.jclinepi.2023.11.004] [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: 05/17/2023] [Revised: 10/14/2023] [Accepted: 11/05/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVES Multimorbidity, the presence of two or more long-term conditions, is a growing public health concern. Many studies use analytical methods to discover multimorbidity patterns from data. We aimed to review approaches used in published literature to validate these patterns. STUDY DESIGN AND SETTING We systematically searched PubMed and Web of Science for studies published between July 2017 and July 2023 that used analytical methods to discover multimorbidity patterns. RESULTS Out of 31,617 studies returned by the searches, 172 were included. Of these, 111 studies (64%) conducted validation, the number of studies with validation increased from 53.13% (17 out of 32 studies) to 71.25% (57 out of 80 studies) in 2017-2019 to 2022-2023, respectively. Five types of validation were identified: assessing the association of multimorbidity patterns with clinical outcomes (n = 79), stability across subsamples (n = 26), clinical plausibility (n = 22), stability across methods (n = 7) and exploring common determinants (n = 2). Some studies used multiple types of validation. CONCLUSION The number of studies conducting a validation of multimorbidity patterns is clearly increasing. The most popular validation approach is assessing the association of multimorbidity patterns with clinical outcomes. Methodological guidance on the validation of multimorbidity patterns is needed.
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Affiliation(s)
- Thamer Ba Dhafari
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, M13 9PL Manchester, UK
| | - Alexander Pate
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, M13 9PL Manchester, UK
| | - Narges Azadbakht
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, M13 9PL Manchester, UK
| | - Rowena Bailey
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Singleton Park, SA2 8PP Swansea, UK
| | - James Rafferty
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Singleton Park, SA2 8PP Swansea, UK
| | - Farideh Jalali-Najafabadi
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, M13 9PL Manchester, UK
| | - Glen P Martin
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, M13 9PL Manchester, UK
| | - Abdelaali Hassaine
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, M13 9PL Manchester, UK
| | - Ashley Akbari
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Singleton Park, SA2 8PP Swansea, UK
| | - Jane Lyons
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Singleton Park, SA2 8PP Swansea, UK
| | - Alan Watkins
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Singleton Park, SA2 8PP Swansea, UK
| | - Ronan A Lyons
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Singleton Park, SA2 8PP Swansea, UK
| | - Niels Peek
- Division of Informatics, Imaging & Data Sciences, School of Health Sciences, The University of Manchester, M13 9PL Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
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21
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van der Weijden DAY, Koerts NDK, van Munster BC, van der Zee HH, Horváth B. Hidradenitis suppurativa tarda: defining an understudied elderly population. Br J Dermatol 2023; 190:105-113. [PMID: 37665963 DOI: 10.1093/bjd/ljad317] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND Hidradenitis suppurativa (HS) is a chronic, devastating, multifactorial skin disease. Patients generally develop HS after puberty and the prevalence of the disease is assumed to decrease with higher age. Data outside the usual age range are limited, especially for elderly patients. OBJECTIVES To investigate the prevalence, clinical characteristics and associated comorbidities among the elderly HS population. METHODS Data were collected through a population-wide survey-based study within the Lifelines Cohort Study in the Netherlands. The clinical characteristics of elderly patients with HS (≥ 60 years) were compared with an adult population (< 60 years) with HS. The comorbidities in elderly patients with HS were compared with those of a non-HS sex- and age-matched elderly population in a 1 : 4 ratio. HS in the elderly was defined as active HS in patients aged 60 years and older. Within the HS elderly group, two subgroups were defined, late-onset HS (HS developed after 60 years of age) and persistent HS (HS developed from a younger age but continuing after 60 years of age). RESULTS Within the Lifelines cohort 209 elderly patients with HS were identified as well as an adult (< 60 years) group with HS (n = 793) and a non-HS sex- and age-matched control elderly group (n = 810). The prevalence of HS among the elderly bootstrap analysis population was 0.8% [95% confidence interval (CI) 0.4-1.2]. A significantly higher age of HS symptom onset was found compared with the adult HS group: respectively, 40 vs. 23 years (odds ratio 1.056, 95% CI 1.05-1.07). Among the elderly HS cohort (in the Discussion, the HS tarda cohort) a female : male ratio of 1.7 : 1.0 and a higher family history for HS were found. Moreover, elderly patients with HS had a significantly higher risk of having HS-associated comorbidities compared with the sex- and age-matched controls. CONCLUSIONS The prevalence of HS in the elderly is not rare. Among the elderly a shift from female predominance towards a lower female : male ratio in HS is observed. In addition, HS in the elderly showed significant variation in age of onset and involved body areas. Moreover, elderly patients with HS were more susceptible to multimorbidity. Finally, we propose defining HS in the elderly as 'HS tarda' and subdividing it as late-onset and persistent HS tarda.
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Affiliation(s)
| | | | - Barbara C van Munster
- Internal Medicine and Geriatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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22
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Lutomski JE, Hoekstra T, Akker MVD, Blom J, Calderón-Larrañaga A, Marengoni A, Prados-Torres A, Olde-Rikkert M, Melis R. Multimorbidity patterns in older persons and their association with self-reported quality of life and limitations in activities of daily living. Arch Gerontol Geriatr 2023; 115:105134. [PMID: 37516060 DOI: 10.1016/j.archger.2023.105134] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/12/2023] [Accepted: 07/19/2023] [Indexed: 07/31/2023]
Abstract
BACKGROUND As populations age, multimorbidity (the presence of two or more chronic morbidities) is increasingly more common. These evolving demographics demand further research into the identification of morbidity patterns in different settings as well as the longitudinal effects of these patterns. METHODS Prospectively collected data on 12,755 older persons aged 65+ years were derived from The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS, www.topics-mds.eu). Latent class analyses were performed to identify unobserved relationship patterns between morbidities in older persons. Using linear mixed models, the average difference in health-related quality of life (EQ-5D) and general quality of life scores (Cantril's Self Anchoring Ladder) as well as limitations in Activities of Daily Living and Instrumental Activities of Daily Living (ADL/IADL) were examined over a 12-month period. RESULTS Five multimorbidity patterns were identified: sensory (n = 3882), cardio-metabolic (n = 2627), mental health (n = 920), osteo-articular (n = 4486), and system decline (n = 840). Relative to older persons in the sensory group, multimorbidity patterns did not have a strong effect on health-related quality of life, general quality of life or ADL/IADLs over a one-year period. CONCLUSIONS The observed multimorbidity patterns are similar to others based on different methodologies and study populations. When examining the effect of such patterns on quality of life, the EQ-5D and Cantril's Ladder may be insufficient outcome measures. Further investigations into the prognostic value of morbidity patterns would be of benefit.
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Affiliation(s)
- Jennifer E Lutomski
- Radboud Biobank, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Trynke Hoekstra
- Department of Health Sciences and the EMGO Institute for Health and Care Research, VU University Amsterdam, the Netherlands
| | - Marjan van den Akker
- Goethe University Frankfurt, Institute of General Practice, Frankfurt am Main, Germany; Department of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Center, the Netherlands; Department of General Practice, Catholic University of Leuven, Belgium
| | - Jeanet Blom
- Department of Public Health and Primary Care, Leiden University Medical Center, the Netherlands
| | - Amaia Calderón-Larrañaga
- EpiChron Research Group on Chronic Diseases, Aragón Health Sciences Institute (IACS), IIS Aragón, REDISSEC-ISCIII, Spain; Department of Clinical and Experimental Sciences, University of Brescia, Italy
| | - Alessandra Marengoni
- Department of Clinical and Experimental Sciences, University of Brescia, Italy; Aging Research Center, NVS Department - Karolinska Institutet, Stockholm University, Stockholm, Sweden
| | - Alexandra Prados-Torres
- EpiChron Research Group on Chronic Diseases, Aragón Health Sciences Institute (IACS), IIS Aragón, REDISSEC-ISCIII, Spain
| | - Marcel Olde-Rikkert
- Department of Geriatric Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rene Melis
- Department of Geriatric Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
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Alvarez-Galvez J, Ortega-Martin E, Ramos-Fiol B, Suarez-Lledo V, Carretero-Bravo J. Epidemiology, mortality, and health service use of local-level multimorbidity patterns in South Spain. Nat Commun 2023; 14:7689. [PMID: 38001107 PMCID: PMC10673852 DOI: 10.1038/s41467-023-43569-5] [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: 06/13/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Multimorbidity -understood as the occurrence of chronic diseases together- represents a major challenge for healthcare systems due to its impact on disability, quality of life, increased use of services and mortality. However, despite the global need to address this health problem, evidence is still needed to advance our understanding of its clinical and social implications. Our study aims to characterise multimorbidity patterns in a dataset of 1,375,068 patients residing in southern Spain. Combining LCA techniques and geographic information, together with service use, mortality, and socioeconomic data, 25 chronicity profiles were identified and subsequently characterised by sex and age. The present study has led us to several findings that take a step forward in this field of knowledge. Specifically, we contribute to the identification of an extensive range of at-risk groups. Moreover, our study reveals that the complexity of multimorbidity patterns escalates at a faster rate and is associated with a poorer prognosis in local areas characterised by lower socioeconomic status. These results emphasize the persistence of social inequalities in multimorbidity, highlighting the need for targeted interventions to mitigate the impact on patients' quality of life, healthcare utilisation, and mortality rates.
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Affiliation(s)
- Javier Alvarez-Galvez
- Department of General Economy (Health Sociology area), Faculty of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain.
- Computational Social Science DataLab, University Institute for Sustainable Social Development, University of Cádiz, Jerez de la Frontera, Spain.
- Biomedical Research and Innovation Institute of Cadiz (INiBICA), Hospital Puerta del Mar, Cadiz, Spain.
| | - Esther Ortega-Martin
- Department of General Economy (Health Sociology area), Faculty of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain
- Computational Social Science DataLab, University Institute for Sustainable Social Development, University of Cádiz, Jerez de la Frontera, Spain
| | - Begoña Ramos-Fiol
- Department of General Economy (Health Sociology area), Faculty of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain
- Computational Social Science DataLab, University Institute for Sustainable Social Development, University of Cádiz, Jerez de la Frontera, Spain
| | - Victor Suarez-Lledo
- Computational Social Science DataLab, University Institute for Sustainable Social Development, University of Cádiz, Jerez de la Frontera, Spain
- Department of Sociology, University of Granada, Granada, Spain
| | - Jesus Carretero-Bravo
- Department of General Economy (Health Sociology area), Faculty of Nursing and Physiotherapy, University of Cadiz, Cadiz, Spain
- Computational Social Science DataLab, University Institute for Sustainable Social Development, University of Cádiz, Jerez de la Frontera, Spain
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24
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Xiao H, Huang S, Yang W, Zhang W, Xiao H, Cai S. Causal association between air pollution and frailty: a Mendelian randomization study. Front Public Health 2023; 11:1288293. [PMID: 38026367 PMCID: PMC10662305 DOI: 10.3389/fpubh.2023.1288293] [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: 09/04/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Backgrounds Frailty is a significant problem for older persons since it is linked to a number of unfavorable consequences. According to observational researches, air pollution may raise the risk of frailty. We investigated the causal association between frailty and air pollution (including PM2.5, PM2.5-10, PM10, nitrogen dioxide, and nitrogen oxides) using Mendelian randomization approach. Methods We conducted MR analysis using extensive publically accessible GWAS (genome-wide association studies) summary data. The inverse variance weighted (IVW) method was employed as the primary analysis method. The weighted median model, MR-Egger, simple model, and weighted model approaches were chosen for quality control. The Cochran's Q test was utilized to evaluate heterogeneity. Pleiotropy is found using the MR-Egger regression test. The MR-PRESSO method was used to recognize outliers. The leave-one-out strategy was used to conduct the sensitivity analysis. Results MR results suggested that PM2.5 was statistically significantly associated with frailty [odds ratio (OR) = 1.33; 95%confidence interval (CI) = 1.12-1.58, p = 0.001] in IVW method. We observed no statistical association between PM2.5-10(OR = 1.00, 95% CI = 0.79-1.28, p = 0.979), PM10(OR = 0.91, 95% CI = 0.75-1.11, p = 0.364), nitrogen dioxide (OR = 0.98, 95% CI = 0.85-1.12, p = 0.730), nitrogen oxides (OR = 1.15, 95% CI = 0.98-1.36, p = 0.086) and frailty. There was no pleiotropy in the results. The sensitivity analysis based on the leave-one-out method showed that the individual single nucleotide polymorphisms (SNPs) did not affect the robustness of the results. Conclusion The current MR investigation shows a causal association between PM2.5 and frailty. Frailty's detrimental progression may be slowed down with the help of air pollution prevention and control.
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Affiliation(s)
- Haixia Xiao
- Department of Obstetrics, Guangdong Women and Children Hospital, Guangzhou, China
| | - Shan Huang
- Department of MICU, Guangdong Women and Children Hospital, Guangzhou, China
| | - Wei Yang
- Department of Internal Medicine, Guangdong Women and Children Hospital, Guangzhou, China
| | - Wenni Zhang
- Department of MICU, Guangdong Women and Children Hospital, Guangzhou, China
| | - Huanshun Xiao
- Department of MICU, Guangdong Women and Children Hospital, Guangzhou, China
| | - Shuangming Cai
- Department of MICU, Guangdong Women and Children Hospital, Guangzhou, China
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Xiong F, Wang Y, Zhu J, Li S, Guan Q, Jing Z. Association of multimorbidity patterns with motoric cognitive risk syndrome among older adults: Evidence from a China longitudinal study. Int J Geriatr Psychiatry 2023; 38:e6021. [PMID: 37909119 DOI: 10.1002/gps.6021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 10/17/2023] [Indexed: 11/02/2023]
Abstract
OBJECTIVES Motoric cognitive risk syndrome (MCR), a pre-dementia syndrome, is characterized by slow gait and subjective cognitive complaints among older adults. This study assessed the relationship between multimorbidity, its patterns, and MCR. METHODS Data for this study were obtained from three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study. Participants who were aged 60 years and older and had complete data at baseline as well as complete data about MCR at follow-up were selected. Patients without MCR at baseline were selected for further analyses. Longitudinal associations between multimorbidity, its patterns, and MCR were examined using a Cox proportional hazards model. Multimorbidity patterns were classified using latent class analysis. RESULTS A total of 4923 respondents were included at baseline, 43.47% of whom had multimorbidity. Additionally, the prevalence of MCR at baseline was 12.61%. After adjusting for covariates, multimorbidity was positively associated with MCR (hazard ratio [HR] = 1.33, 95% confidence interval [CI] = 1.06-1.68). A higher number of multimorbidity was also significantly associated with an increased risk of developing MCR (HR = 1.10, 95% CI = 1.02-1.19). Three multimorbidity patterns were selected: relatively healthy pattern, respiratory pattern, and cardiovascular pattern. Older adults with the cardiovascular pattern were 1.57 times more likely to develop MCR than those with the relatively healthy pattern (HR = 1.57, 95% CI = 1.16-2.13). There was no significant difference between the relatively healthy pattern and the respiratory pattern (HR = 1.31, 95% CI = 0.91-1.92). CONCLUSIONS MCR is highly prevalent among older Chinese adults. MCR may be exacerbated by multimorbidity. For older adults with multimorbidity (especially cardiovascular multimorbidity), attention should be paid to MCR to achieve early detection, diagnosis, and treatment.
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Affiliation(s)
- Feiyang Xiong
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, China
| | | | - Jun Zhu
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shixue Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Qiangdong Guan
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhengyue Jing
- School of Public Health, Nanjing Medical University, Nanjing, China
- School of Health Policy and Management, Nanjing Medical University, Nanjing, China
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26
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Dent E, Hanlon P, Sim M, Jylhävä J, Liu Z, Vetrano DL, Stolz E, Pérez-Zepeda MU, Crabtree DR, Nicholson C, Job J, Ambagtsheer RC, Ward PR, Shi SM, Huynh Q, Hoogendijk EO. Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology. Ageing Res Rev 2023; 91:102082. [PMID: 37797723 DOI: 10.1016/j.arr.2023.102082] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/29/2023] [Accepted: 10/01/2023] [Indexed: 10/07/2023]
Abstract
Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.
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Affiliation(s)
- Elsa Dent
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Peter Hanlon
- School of Health and Wellbeing, University of Glasgow, Scotland, UK
| | - Marc Sim
- Nutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, Western Australia, Australia; Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Faculty of Social Sciences, Unit of Health Sciences and Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Zuyun Liu
- Second Affiliated Hospital and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Davide L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Erwin Stolz
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria
| | - Mario Ulises Pérez-Zepeda
- Instituto Nacional de Geriatría, Dirección de Investigación, ciudad de México, Mexico; Centro de Investigación en Ciencias de la Salud (CICSA), FCS, Universidad Anáhuac México Campus Norte, Huixquilucan Edo. de México
| | | | - Caroline Nicholson
- Centre for Health System Reform & Integration, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Jenny Job
- Centre for Health System Reform & Integration, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Rachel C Ambagtsheer
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Paul R Ward
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Sandra M Shi
- Hinda and Arthur Marcus Institute for Aging, Hebrew Senior Life, Boston, Massachusetts, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Quan Huynh
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Emiel O Hoogendijk
- Department of Epidemiology & Data Science and Department of General Practice, Amsterdam UMC, Location VU University Medical Center, Amsterdam, Netherlands; Amsterdam Public Health research institute, Ageing & Later Life Research Program, Amsterdam UMC, Amsterdam, the Netherlands.
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27
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Amirzada M, Buczak-Stec E, König HH, Hajek A. Multimorbidity patterns in the German general population aged 40 years and over. Arch Gerontol Geriatr 2023; 114:105067. [PMID: 37257215 DOI: 10.1016/j.archger.2023.105067] [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: 01/19/2023] [Revised: 05/08/2023] [Accepted: 05/17/2023] [Indexed: 06/02/2023]
Abstract
AIM The aim of this study was to identify and describe multimorbidity patterns among middle-aged and older community-dwelling individuals in Germany. Moreover, we aimed to determine potential gender differences in multimorbidity patterns. METHODS We analysed data from the most recent (sixth) wave (2017) of the large nationally representative German Ageing Survey (DEAS). Altogether n = 6,554 individuals participated, mean age was 62.0 (ranging from 43 to 92 years). Latent Class Analysis was performed to identify multimorbidity patterns, based on 13 chronic conditions and diseases. Multimorbidity was defined as the presence of at least two chronic conditions. RESULTS Altogether, 53.3% of individuals were multimorbid. We identified and clinically described five multimorbidity patterns: the relatively healthy class (45.1%), the high morbidity class (10.8%), the arthrosis/inflammatory/mental illnesses class (20.6%), the hypertension-metabolic illness class (21.7%), and the cardiovascular/cancer class (1.7%). Our analysis revealed that women compared to men have higher relative risk (IRR = 1.61, 95% CI 1.25-2.06) of being in the arthrosis/inflammatory/mental illnesses class, compared to the relatively healthy class. Furthermore, we found that, depending on which multimorbidity pattern individuals belong to, they differ greatly in terms of socio-demographic factors, health behaviour, and lifestyle factors. CONCLUSIONS We showed that the many chronic diseases cluster in a non-random way. Five clinically meaningful multimorbidity patterns were identified. Gender differences were apparent only in one class, namely in the arthrosis/inflammatory/mental illnesses class.
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Affiliation(s)
- Massuma Amirzada
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany.
| | - Elżbieta Buczak-Stec
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany.
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany
| | - André Hajek
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany
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28
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Deng P, Liu C, Chen M, Si L. Knowledge domain and emerging trends in multimorbidity and frailty research from 2003 to 2023: a scientometric study using citespace and VOSviewer. HEALTH ECONOMICS REVIEW 2023; 13:46. [PMID: 37815722 PMCID: PMC10563353 DOI: 10.1186/s13561-023-00460-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/04/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND Multimorbidity and frailty represent emerging global health burdens that have garnered increased attention from researchers over the past two decades. We conducted a scientometric analysis of the scientific literature on the coexistence of multimorbidity and frailty to assess major research domains, trends, and inform future lines of research. METHODS We systematically retrieved scientific publications on multimorbidity and frailty from the Web of Science Core Collection, spanning from 2003 to 2023. Scientometric analysis was performed using CiteSpace and VOSviewer, enabling the visualization and evaluation of networks comprising co-citation references, co-occurring keywords, countries, institutions, authors, and journals. RESULTS A total of 584 eligible publications were included in the analysis. An exponential rise in research interest in multimorbidity and frailty was observed, with an average annual growth rate of 47.92% in publications between 2003 and 2022. Three major research trends were identified: standardized definition and measurement of multimorbidity and frailty, comprehensive geriatric assessment utilizing multimorbidity and frailty instruments for older adults, and the multifaceted associations between these two conditions. The United States of America, Johns Hopkins University, Fried LP, and the Journal of the American Geriatrics Society were identified as the most influential entities within this field, representing the leading country, institution, author, and journal, respectively. CONCLUSIONS Scientometric analysis provides invaluable insights to clinicians and researchers involved in multimorbidity and frailty research by identifying intellectual bases and research trends. While the instruments and assessments of multimorbidity and frailty with scientific validity and reliability are of undeniable importance, further investigations are also warranted to unravel the underlying biological mechanisms of interactions between multimorbidity and frailty, explore the mental health aspects among older individuals with multimorbidity and frailty, and refine strategies to reduce prescriptions in this specific population.
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Affiliation(s)
- Penghong Deng
- School of Health Policy & Management, Nanjing Medical University, Jiangning District, Nanjing, 211166, China
| | - Chang Liu
- School of Health Policy & Management, Nanjing Medical University, Jiangning District, Nanjing, 211166, China
| | - Mingsheng Chen
- School of Health Policy & Management, Nanjing Medical University, Jiangning District, Nanjing, 211166, China.
- Center for Global Health, Nanjing Medical University, Nanjing, China.
| | - Lei Si
- School of Health Sciences, Western Sydney University, Campbelltown, Australia
- Translational Health Research Institute, Western Sydney University, Penrith, Australia
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29
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Zhang H, Wei X, Pan J, Chen X, Sun X. Anemia and frailty in the aging population: implications of dietary fiber intake (findings of the US NHANES from 2007-2018). BMC Geriatr 2023; 23:634. [PMID: 37805459 PMCID: PMC10560428 DOI: 10.1186/s12877-023-04352-9] [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: 11/25/2022] [Accepted: 09/25/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Frailty has long been seen as an indicator of reduced physical functions in the elderly, which may be caused by a variety of chronic illnesses or cancerous tumors. Dietary fiber was connected with anemia and frailty, whereas it was uncertain if dietary fiber consumption modifies the impact of anemia on frailty in elderly adults. METHODS We performed a secondary analysis using older adults aged 60 years and over from the National Health and Nutrition Examination Survey (NHANES) 2007-2018 cycles. Dietary fiber intake was estimated using two 24-h dietary recalls. Participants were dichotomized as frail or non-frail based on a modified Fried physical frailty phenotype from previous NHANES studies. The weighted logistic regression was used to estimate the odds ratio (OR) and confidence interval (CI) for the associations between hemoglobin levels and frailty at high- and low-dietary fiber intake levels. RESULTS A total of 9644 older adults were included in this study, and the weighted sample was 56,403,031, of whom 3,569,186 (6.3%) were deemed to be frail, and the remainder were deemed to be non-frail. Among the low dietary fiber intake group, higher hemoglobin was significantly associated with a lower risk of frailty (OR = 0.79, 95% CI: 0.71-0.87), and anemia was associated with an almost threefold elevated risk of frailty (OR = 3.24, 95% CI:1.98-5.29) in the fully adjusted model. However, this phenomenon was not observed in groups with high dietary fiber intake. In addition, L-shaped dose response relationship was found in the high dietary fiber intake group (P overall association < 0.001; P non-linear association = 0.076). Whereas the dose response relationship was not significant in the high dietary fiber intake group (P overall association 0.752; P non-linear association = 0.734). CONCLUSIONS Frailty was positively associated with the severity of anemia in older adults with low, but not high, dietary fiber intake. Adequate fiber intake may be an innovative dietary strategy to reduce frailty in older adults.
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Affiliation(s)
- HuanRui Zhang
- Department of Geriatric, The First Hospital of China Medical University, NO.155 Nanjing North Street, Heping Ward, Shenyang, 110001, China
| | - Xuejiao Wei
- Department of Health Services and Policy Research, Queen's University, Kingston, ON, Canada
| | - Jiani Pan
- Department of Geriatric, The First Hospital of China Medical University, NO.155 Nanjing North Street, Heping Ward, Shenyang, 110001, China
| | - XiTao Chen
- Department of Thoracic Surgery, The First Hospital of China Medical University, NO.155 Nanjing North Street, Heping Ward, Shenyang, 110001, China.
| | - XiaoDi Sun
- Department of Geriatric, The First Hospital of China Medical University, NO.155 Nanjing North Street, Heping Ward, Shenyang, 110001, China.
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Chu WM, Ho HE, Yeh CJ, Wei JCC, Arai H, Lee MC. Additive effect of frailty with distinct multimorbidity patterns on mortality amongst middle-aged and older adults in Taiwan: A 16-year population-based study. Geriatr Gerontol Int 2023; 23:684-691. [PMID: 37555551 DOI: 10.1111/ggi.14647] [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: 12/28/2022] [Revised: 06/22/2023] [Accepted: 07/16/2023] [Indexed: 08/10/2023]
Abstract
AIM This study aimed to explore the association between multimorbidity patterns with/without frailty and future mortality among Taiwanese middle-aged and older adults through a population-based cohort study design. METHODS Data were collected from the Taiwan Longitudinal Study on Aging. The data were obtained from Wave 3, with the multimorbidity patterns in the years of 1996 being analyzed through latent class analysis. Frailty was defined using the modified Fried criteria. The association between each disease group with/without frailty and mortality was examined using logistic regression, with the reference group as the Relatively healthy group without frailty. Survival analysis was performed using Cox regression, and the follow-up period of mortality was from 1 January 1996 to 31 December 2012. RESULTS A total of 4748 middle-aged and older adults with an average age of 66.3 years (SD: 9.07 years) were included. Four disease patterns were identified in 1996, namely the Cardiometabolic (21.0%), Arthritis-cataract (11.9%), Relatively healthy (61.6%), and Multimorbidity (5.5%) groups. After adjusting for all covariates, the Relatively healthy group with frailty showed the highest risk for mortality (odds ratio: 3.66, 95% confidence interval [95% CI]: 2.24-5.95), followed by the Cardiometabolic group with frailty (odds ratio: 3.58, 95% CI: 1.96-6.54), Multimorbidity group with frailty (odds ratio: 2.28, 95% CI: 1.17-4.44), Multimorbidity group without frailty (odds ratio: 1.44, 95% CI: 1.01-2.04), and the Cardiometabolic group without frailty (odds ratio: 1.24, 95% CI: 1.04-1.49). CONCLUSIONS Frailty plays an important role in mortality among middle-aged and older adults with distinct multimorbidity patterns. Middle-aged and older adults with a relatively healthy multimorbidity pattern or a cardiometabolic multimorbidity pattern with frailty encountered dismal outcomes. Geriatr Gerontol Int 2023; 23: 684-691.
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Affiliation(s)
- Wei-Min Chu
- Department of Family Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Geriatrics and Gerontology Research Center, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Education and Innovation Center for Geriatrics and Gerontology, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hsin-En Ho
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Family Medicine, Taichung Armed Forces General Hospital, Taichung, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Chih-Jung Yeh
- School of Public Health, Chung-Shan Medical University, Taichung, Taiwan
| | - James Cheng-Chung Wei
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Allergy, Immunology and Rheumatology, Chung Shan Medical University Hospital, Taichung, Taiwan
- Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Japan
| | - Meng-Chih Lee
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Family Medicine, Taichung Hospital, Ministry of Health and Welfare, Taichung, Taiwan
- Institute of Population Sciences, National Health Research Institutes, Miaoli County, Taiwan
- College of Management, Chaoyang University of Technology, Taichung, Taiwan
- Study Group of Integrated Health and Social Care Project, Ministry of Health and Welfare, Taipei, Taiwan
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Yang K, Yang S, Chen Y, Cao G, Xu R, Jia X, Hou L, Li J, Bi C, Wang X. Multimorbidity Patterns and Associations with Gait, Balance and Lower Extremity Muscle Function in the Elderly: A Cross-Sectional Study in Northwest China. Int J Gen Med 2023; 16:3179-3192. [PMID: 37533839 PMCID: PMC10392815 DOI: 10.2147/ijgm.s418015] [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: 04/20/2023] [Accepted: 07/13/2023] [Indexed: 08/04/2023] Open
Abstract
Purpose Fall is a common geriatric syndrome leading to various adverse outcomes in the elderly. Gait and balance disorders and decreased lower extremity muscle function are the major intrinsic risk factors of falls, and studies suggested that they were closely related to the underlying chronic conditions. This study aimed to explore the patterns of multimorbidity and determine the associations of these multimorbidity patterns with gait, balance and lower extremity muscle function. Patients and Methods A cross-sectional survey of 4803 participants aged ≥60 years in Shaanxi Province, China was conducted and the self-reported chronic conditions were investigated. The 6-m walk test, timed-up-and-go test (TUG) and 5-sit-to-stand test (5-STS) were conducted to evaluate gait, balance, and lower extremity muscle function respectively. Latent class analysis was used to explore patterns of multimorbidity, and multivariate regression analysis was used to determine the associations of multimorbidity patterns with gait, balance, and lower extremity muscle function. Results Five multimorbidity patterns were identified: Degenerative Disease Class, Cardio-metabolic Class, Stroke-Respiratory-Depression Class, Gastrointestinal Class, and Very sick Class, and they were differently associated with gait and balance disorders and decreased lower extremity muscle function. In particular, the multimorbidity patterns of Degenerative Disease Class and Stroke-Respiratory-Depression Class were closely associated with all the three risk factors of falls. Conclusion There are significant differences in the impact of different multimorbidity patterns on the major intrinsic risk factors of falls in the elderly population, and appropriate multimorbidity patterns are closely related to the prediction of falls and can help to develop fall prevention strategies in the elderly.
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Affiliation(s)
- Kaikai Yang
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Shanru Yang
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Yang Chen
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Guihua Cao
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Rong Xu
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Xin Jia
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Liming Hou
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Jinke Li
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Chenting Bi
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
| | - Xiaoming Wang
- Department of Geriatrics, Xijing Hospital, Air Force Medical University, Xi’an, 710032, People’s Republic of China
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Takele MD, Sany K, Getie K, Wayessa DI, Jember G, Gobezie M, Abich Y, Kibret AK. Prevalence and associated factors of frailty among community dweller older adults living in Gondar town, northwest, Ethiopia: a community based cross-sectional study. BMC Public Health 2023; 23:1309. [PMID: 37420164 PMCID: PMC10329322 DOI: 10.1186/s12889-023-16201-w] [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: 01/30/2023] [Accepted: 06/27/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND Frailty is a multidimensional geriatric condition that increases vulnerability to stressors, increases the risk of negative health outcomes, and lowers quality of life in older people. However, little attention has been paid to frailty in developing countries, particularly in Ethiopia. Therefore, the aim of the study was to investigate the prevalence of frailty syndrome and the sociodemographic, lifestyle, and clinical factors associated with it. METHODS A community-based cross-sectional study design was conducted from April to June 2022. A total of 607 study participants were included using a single cluster sampling technique. The Tilburg frailty indicator, which is a self-reported schedule for assessment of frailty, required respondents to answer 'yes' or 'no' and the total attainable score ranged from 0 to 15. An individual with a score of ≥ 5 considered frail. Data were collected by interviewing the participants using a structured questionnaire, and the data collection tools were pre-tested before the actual data collection period to check for the accuracy of responses, language clarity, and appropriateness of the tools. Statistical analyses were performed using the binary logistic regression model. RESULTS More than half of the study participants were male, and the median age of the study participants was 70, with an age range of 60-95 years. The prevalence of frailty was 39% (CI 95%, 35.51-43.1). In the final multivariate analysis model, the following factors associated with frailty were obtained: older age (AOR = 6.26 CI (3.41-11.48), presence of two or more comorbidities (AOR = 6.05 CI (3.51-10.43), activity of daily life dependency (AOR = 4.12 CI (2.49-6.80), and depression (AOR = 2.68 CI (1.55-4.63) were found to be significant factors. CONCLUSION AND RECOMMENDATIONS Our study provides epidemiological characteristics and the risk factors of frailty in the study area. Efforts to promote physical, psychological, and social health in older adults are a core objective of health policy, especially for older adults aged 80 and above years, and those with two or more comorbidities.
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Affiliation(s)
- Mihret Dejen Takele
- Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, university of Gondar, Gondar, Ethiopia
| | - Kedir Sany
- Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, university of Gondar, Gondar, Ethiopia
| | - Kefale Getie
- Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, university of Gondar, Gondar, Ethiopia
| | - Dechasa Imiru Wayessa
- Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, university of Gondar, Gondar, Ethiopia
| | - Gashaw Jember
- Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, university of Gondar, Gondar, Ethiopia
| | - Melese Gobezie
- Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, university of Gondar, Gondar, Ethiopia
| | - Yohannes Abich
- Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, university of Gondar, Gondar, Ethiopia
| | - Alemu Kassaw Kibret
- Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, university of Gondar, Gondar, Ethiopia
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Carrasco-Ribelles LA, Cabrera-Bean M, Danés-Castells M, Zabaleta-Del-Olmo E, Roso-Llorach A, Violán C. Contribution of Frailty to Multimorbidity Patterns and Trajectories: Longitudinal Dynamic Cohort Study of Aging People. JMIR Public Health Surveill 2023; 9:e45848. [PMID: 37368462 PMCID: PMC10365626 DOI: 10.2196/45848] [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: 01/19/2023] [Revised: 05/02/2023] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
BACKGROUND Multimorbidity and frailty are characteristics of aging that need individualized evaluation, and there is a 2-way causal relationship between them. Thus, considering frailty in analyses of multimorbidity is important for tailoring social and health care to the specific needs of older people. OBJECTIVE This study aimed to assess how the inclusion of frailty contributes to identifying and characterizing multimorbidity patterns in people aged 65 years or older. METHODS Longitudinal data were drawn from electronic health records through the SIDIAP (Sistema d'Informació pel Desenvolupament de la Investigació a l'Atenció Primària) primary care database for the population aged 65 years or older from 2010 to 2019 in Catalonia, Spain. Frailty and multimorbidity were measured annually using validated tools (eFRAGICAP, a cumulative deficit model; and Swedish National Study of Aging and Care in Kungsholmen [SNAC-K], respectively). Two sets of 11 multimorbidity patterns were obtained using fuzzy c-means. Both considered the chronic conditions of the participants. In addition, one set included age, and the other included frailty. Cox models were used to test their associations with death, nursing home admission, and home care need. Trajectories were defined as the evolution of the patterns over the follow-up period. RESULTS The study included 1,456,052 unique participants (mean follow-up of 7.0 years). Most patterns were similar in both sets in terms of the most prevalent conditions. However, the patterns that considered frailty were better for identifying the population whose main conditions imposed limitations on daily life, with a higher prevalence of frail individuals in patterns like chronic ulcers &peripheral vascular. This set also included a dementia-specific pattern and showed a better fit with the risk of nursing home admission and home care need. On the other hand, the risk of death had a better fit with the set of patterns that did not include frailty. The change in patterns when considering frailty also led to a change in trajectories. On average, participants were in 1.8 patterns during their follow-up, while 45.1% (656,778/1,456,052) remained in the same pattern. CONCLUSIONS Our results suggest that frailty should be considered in addition to chronic diseases when studying multimorbidity patterns in older adults. Multimorbidity patterns and trajectories can help to identify patients with specific needs. The patterns that considered frailty were better for identifying the risk of certain age-related outcomes, such as nursing home admission or home care need, while those considering age were better for identifying the risk of death. Clinical and social intervention guidelines and resource planning can be tailored based on the prevalence of these patterns and trajectories.
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Affiliation(s)
- Lucía A Carrasco-Ribelles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Signal Processing and Communications Group (SPCOM), Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
- Unitat de Suport a la Recerca Metropolitana Nord, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Mataró, Spain
- Grup de REcerca en Impacte de les Malalties Cròniques i les seves Trajectòries (GRIMTRA) (2021 SGR 01537), Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) (RD21/0016/0029), Instituto de Salud Carlos III, Madrid, Spain
| | - Margarita Cabrera-Bean
- Signal Processing and Communications Group (SPCOM), Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
| | - Marc Danés-Castells
- Unitat de Suport a la Recerca Metropolitana Nord, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Mataró, Spain
| | - Edurne Zabaleta-Del-Olmo
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Grup de REcerca en Impacte de les Malalties Cròniques i les seves Trajectòries (GRIMTRA) (2021 SGR 01537), Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) (RD21/0016/0029), Instituto de Salud Carlos III, Madrid, Spain
- Gerència Territorial de Barcelona, Institut Català de la Salut, Barcelona, Spain
- Nursing Department, Faculty of Nursing, Universitat de Girona, Girona, Spain
| | - Albert Roso-Llorach
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Grup de REcerca en Impacte de les Malalties Cròniques i les seves Trajectòries (GRIMTRA) (2021 SGR 01537), Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) (RD21/0016/0029), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Concepción Violán
- Unitat de Suport a la Recerca Metropolitana Nord, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Mataró, Spain
- Grup de REcerca en Impacte de les Malalties Cròniques i les seves Trajectòries (GRIMTRA) (2021 SGR 01537), Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain
- Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS) (RD21/0016/0029), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Fundació Institut d'Investigació en ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Spain
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Su Z, Huang L, Zhu J, Cui S. Effects of multimorbidity coexistence on the risk of mortality in the older adult population in China. Front Public Health 2023; 11:1110876. [PMID: 37089511 PMCID: PMC10113675 DOI: 10.3389/fpubh.2023.1110876] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/10/2023] [Indexed: 04/08/2023] Open
Abstract
Background Multimorbidity coexistence is a serious public health issue affecting a significant number of older adults worldwide. However, associations between multimorbidity and mortality are rarely studied in China. We assessed the effects of multimorbidity coexistence on mortality among a nationwide sample of older adults from China. Objective We analyzed 10-year (2008-2018) longitudinal data of 12,337 individuals who took part in China, a nationwide survey of people aged 65 years and above. We used the Cox proportional hazard model to determine the effects of multimorbidity on the all-cause mortality risk. We also examined mortality risk between sex and age obtained through differential analysis. Results At baseline, 30.2, 29.9, and 39.9% of participants had 0, 1, and 2 or more diseases, respectively. The cumulative follow-up of this study was 27,428 person-years (median follow-up = 2.7 years; range, 0.01-11.3 years), with 8297 deaths. The HRs (95% CIs) for all-cause mortality in participants with 1, and 2 or more conditions compared with those with none were 1.04 (0.98, 1.10) and 1.12 (1.06, 1.18), respectively. The heterogeneity analysis indicated that, the mortality risk for 80-94 years and 95-104 years group with multimorbidity coexistence is 1.12 (1.05-1.21) and 1.11 (1.01-1.23), respectively, but the mortality risk for 65-79 years group with multimorbidity coexistence was not statistically significant. The heterogeneity analysis indicated that, the mortality risk for men and women in older adults with multimorbidity coexistence is 1.15 (1.06, 1.25) and 1.08 (1.01, 1.17), respectively. Conclusion Multimorbidity coexistence is associated with an increase in an increased risk of death in older individuals, with the effect being relatively significant in those aged 80-94 years.
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Affiliation(s)
| | | | - Jinghui Zhu
- School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
| | - Shichen Cui
- School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
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Álvarez-Gálvez J, Ortega-Martín E, Carretero-Bravo J, Pérez-Muñoz C, Suárez-Lledó V, Ramos-Fiol B. Social determinants of multimorbidity patterns: A systematic review. Front Public Health 2023; 11:1081518. [PMID: 37050950 PMCID: PMC10084932 DOI: 10.3389/fpubh.2023.1081518] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 03/02/2023] [Indexed: 03/28/2023] Open
Abstract
Social determinants of multimorbidity are poorly understood in clinical practice. This review aims to characterize the different multimorbidity patterns described in the literature while identifying the social and behavioral determinants that may affect their emergence and subsequent evolution. We searched PubMed, Embase, Scopus, Web of Science, Ovid MEDLINE, CINAHL Complete, PsycINFO and Google Scholar. In total, 97 studies were chosen from the 48,044 identified. Cardiometabolic, musculoskeletal, mental, and respiratory patterns were the most prevalent. Cardiometabolic multimorbidity profiles were common among men with low socioeconomic status, while musculoskeletal, mental and complex patterns were found to be more prevalent among women. Alcohol consumption and smoking increased the risk of multimorbidity, especially in men. While the association of multimorbidity with lower socioeconomic status is evident, patterns of mild multimorbidity, mental and respiratory related to middle and high socioeconomic status are also observed. The findings of the present review point to the need for further studies addressing the impact of multimorbidity and its social determinants in population groups where this problem remains invisible (e.g., women, children, adolescents and young adults, ethnic groups, disabled population, older people living alone and/or with few social relations), as well as further work with more heterogeneous samples (i.e., not only focusing on older people) and using more robust methodologies for better classification and subsequent understanding of multimorbidity patterns. Besides, more studies focusing on the social determinants of multimorbidity and its inequalities are urgently needed in low- and middle-income countries, where this problem is currently understudied.
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Affiliation(s)
- Javier Álvarez-Gálvez
- Department of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain
- The University Research Institute for Sustainable Social Development (Instituto Universitario de Investigación para el Desarrollo Social Sostenible), University of Cadiz, Jerez de la Frontera, Spain
| | - Esther Ortega-Martín
- Department of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain
- *Correspondence: Esther Ortega-Martín
| | - Jesús Carretero-Bravo
- Department of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain
| | - Celia Pérez-Muñoz
- Department of Nursing and Physiotherapy, University of Cadiz, Cádiz, Spain
| | - Víctor Suárez-Lledó
- Department of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain
| | - Begoña Ramos-Fiol
- Department of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain
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Luo Y, Chen Y, Wang K, De Fries CM, Huang Z, Xu H, Yang Z, Hu Y, Xu B. Associations between multimorbidity and frailty transitions among older Americans. J Cachexia Sarcopenia Muscle 2023; 14:1075-1082. [PMID: 36852679 PMCID: PMC10067509 DOI: 10.1002/jcsm.13197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 01/02/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND The associations of multimorbidity patterns with transitions between frailty states remain unclear in older individuals. METHODS We used data from the National Health and Aging Trends Study 2011-2019. Frailty was measured annually using the Fried frailty phenotype. Multimorbidity patterns at baseline were identified using latent class analysis based on 14 chronic conditions. We used the semi-Markov multi-state model to investigate the influences of multimorbidity characterized by condition counts and patterns on subsequent frailty transitions over follow-ups. RESULTS Among 9450 participants aged ≥65 years at baseline, 34.8% were non-frail, 48.1% were pre-frail and 17.0% were frail. Over a median follow-up of 4.0 years, 16 880 frailty transitions were observed, with 10 527 worsening and 6353 improving. For 7675 participants with multimorbidity, four multimorbidity patterns were identified: osteoarticular pattern (62.4%), neuropsychiatric-sensory pattern (17.2%), cardiometabolic pattern (10.3%) and complex multimorbidity pattern (10.1%). Compared with no disease, multimorbidity was significantly associated with an increased risk of worsening transitions, including from non-frail to pre-frail (hazard ratio [HR] = 1.35; 95% confidence interval [CI] = 1.21-1.52), from non-frail to frail (HR = 1.68; 95% CI = 1.04-2.73), from pre-frail to frail (HR = 2.19; 95% CI = 1.66-2.90) and from pre-frail to death (HR = 1.64; 95% CI = 1.11-2.41). Compared with the osteoarticular pattern, neuropsychiatric-sensory, cardiometabolic and complex multimorbidity patterns had a significantly higher risk of worsening frailty (all P < 0.05). CONCLUSIONS Multimorbidity was associated with dynamic transitions between frailty states and death among older American adults, and the associations varied across multimorbidity patterns. The findings could offer significant implications for public health policymakers in planning interventions and healthcare resources. They also might inform clinicians regarding providing targeted clinical treatment and health management based on multimorbidity patterns of older people.
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Affiliation(s)
- Yan Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Yuming Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Kaipeng Wang
- Graduate School of Social Work, University of Denver, Denver, CO, USA
| | - Carson M De Fries
- Graduate School of Social Work, University of Denver, Denver, CO, USA
| | - Ziting Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Huiwen Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Zhou Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | - Beibei Xu
- Medical Informatics Center, Peking University, Beijing, China
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Baré M, Lleal M, Sevilla-Sánchez D, Ortonobes S, Herranz S, Ferrandez O, Corral-Vázquez C, Molist N, Nazco GJ, Martín-González C, Márquez MÁ. Sex Differences in Multimorbidity, Inappropriate Medication and Adverse Outcomes of Inpatient Care: MoPIM Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3639. [PMID: 36834333 PMCID: PMC9964600 DOI: 10.3390/ijerph20043639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/13/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
There is no published evidence on the possible differences in multimorbidity, inappropriate prescribing, and adverse outcomes of care, simultaneously, from a sex perspective in older patients. We aimed to identify those possible differences in patients hospitalized because of a chronic disease exacerbation. A multicenter, prospective cohort study of 740 older hospitalized patients (≥65 years) was designed, registering sociodemographic variables, frailty, Barthel index, chronic conditions (CCs), geriatric syndromes (GSs), polypharmacy, potentially inappropriate prescribing (PIP) according to STOPP/START criteria, and adverse drug reactions (ADRs). Outcomes were length of stay (LOS), discharge to nursing home, in-hospital mortality, cause of mortality, and existence of any ADR and its worst consequence. Bivariate analyses between sex and all variables were performed, and a network graph was created for each sex using CC and GS. A total of 740 patients were included (53.2% females, 53.5% ≥85 years old). Women presented higher prevalence of frailty, and more were living in a nursing home or alone, and had a higher percentage of PIP related to anxiolytics or pain management drugs. Moreover, they presented significant pairwise associations between CC, such as asthma, vertigo, thyroid diseases, osteoarticular diseases, and sleep disorders, and with GS, such as chronic pain, constipation, and anxiety/depression. No significant differences in immediate adverse outcomes of care were observed between men and women in the exacerbation episode.
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Affiliation(s)
- Marisa Baré
- Institutional Committee for the Improvement of Clinical Practice Adequacy, Clinical Epidemiology and Cancer Screening Department, CRiSP Research Group, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
- Research Network on Health Services in Chronic Patients (REDISSEC), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS), ISCIII, 28029 Madrid, Spain
| | - Marina Lleal
- Institutional Committee for the Improvement of Clinical Practice Adequacy, Clinical Epidemiology and Cancer Screening Department, CRiSP Research Group, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain
- Department of Paediatrics, Obstetrics and Gynaecology, Preventive Medicine and Public Health, Autonomous University of Barcelona, Bellaterra, 08193 Barcelona, Spain
| | | | - Sara Ortonobes
- Pharmacy Department, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), Universitat Autònoma de Barcelona, 08208 Sabadell, Spain
| | - Susana Herranz
- Research Network on Health Services in Chronic Patients (REDISSEC), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Acute Care Geriatric Unit, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí (I3PT), Universitat Autònoma de Barcelona, 08208 Sabadell, Spain
| | - Olivia Ferrandez
- Pharmacy Department, Consorci Parc de Salut MAR, 08003 Barcelona, Spain
| | - Celia Corral-Vázquez
- Research Network on Health Services in Chronic Patients (REDISSEC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Núria Molist
- Geriatrics Department-C3RG Research Ggoup, Consorci Hospitalari de Vic, 08500 Vic, Spain
| | - Gloria Julia Nazco
- Pharmacy Department, Hospital Universitario de Canarias, 38320 La Laguna, Spain
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A Tailored Discharge Program Improves Frailty and Mood in Patients Undergoing Usual Rehabilitative Care: A Randomized Controlled Trial. J Am Med Dir Assoc 2022; 23:1962.e1-1962.e13. [PMID: 36228662 DOI: 10.1016/j.jamda.2022.09.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/28/2022] [Accepted: 09/05/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To investigate whether a tailored intersectoral discharge program (TIDP) impacts on multidimensional frailty, rehospitalization days, and patient-related outcome measures in older in-patients undergoing acute care and usual rehabilitative care. DESIGN Randomized controlled trial of TIDP vs usual rehabilitative care with a 6-month follow-up, 2019-2020, and historical control with a 6-month follow-up, 2016-2019. SETTING AND PARTICIPANTS Geriatric co-managed internal medicine ward of a metropolitan university hospital. One hundred-twelve multimorbid patients older than age 60 years were consecutively assessed for eligibility and inclusion (age ≥60 years, multimorbidity, admitted for treatment of acute disease, at least 2 geriatric syndromes requiring usual rehabilitative care, and able to consent) and signed informed consent, with 110 recruited and randomized to either TIDP or usual rehabilitative care. At discharge, 104 patients were alive in the intention-to-treat group, the 6-month follow-up was completed for 91 patients. A historical control group of 468 patients was included for comparison. INTERVENTION TIDP as intervention included contact with treating general practitioner to discuss the further treatment plan, a structured medical and lifestyle counseling to patients and caregivers at admission as well as a discharge program with internist, geriatrician, and general practitioner in shared decision making with patients. METHODS Fifty-four patients underwent TIDP, 53 patients underwent usual rehabilitative care only. Rehospitalization days at follow-up as primary endpoint; multidimensional frailty and prognosis (Multidimensional Prognostic Index, Geriatric Depression Scale, Rosenberg Self-Esteem Scale, quality of life, falls, mortality, home care service need, and need of long-term care at 1-, 3- and 6-month follow-up as secondary endpoints. RESULTS TIDP (median age 76.0 years, 56% female) showed significantly improved Multidimensional Prognostic Index scores at discharge compared with usual rehabilitative care (median age 78.5 years, 58% female) (0.43 vs 0.49, P = .011). Compared with usual rehabilitative care, TIDP improved self-confidence (Rosenberg Self-Esteem Scale 13.9 vs 12.4, P = .009) and mood (Geriatric Depression Scale 4 vs 5, P = .027) at follow-up. Compared with historical control (median age 77.0 years, 39 % female), usual rehabilitative care patients showed significantly lower rehospitalization rates (53% vs 70%, P = .002) and lower mortality rates (13% vs 32%, P < .001). CONCLUSIONS AND IMPLICATIONS A feasible TIDP improves frailty and mood in advanced age. In older patients undergoing potentially disabling acute treatments, usual rehabilitative care significantly reduces rehospitalization rates. Therefore, implementing geriatric treatment in general is useful to improve outcomes in older in-patients and a tailored discharge program can further increase the benefit for this frail population.
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Social inequalities in multimorbidity patterns in Europe: A multilevel latent class analysis using the European Social Survey (ESS). SSM Popul Health 2022; 20:101268. [DOI: 10.1016/j.ssmph.2022.101268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/16/2022] [Accepted: 10/11/2022] [Indexed: 11/07/2022] Open
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Resilience in relation to older adults with multimorbidity: A scoping review. Geriatr Nurs 2022; 48:85-93. [PMID: 36155314 DOI: 10.1016/j.gerinurse.2022.08.017] [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: 05/05/2022] [Revised: 08/29/2022] [Accepted: 08/31/2022] [Indexed: 12/14/2022]
Abstract
The purpose of this scoping review is to identify conceptual and theoretical resilience models, types of resilience measures, and outcomes regarding resilience in relation to older adults with multimorbidity. PubMed, Embase, CINAHL, and PsycINFO were searched, and we identified 14 studies to July 2021. Most models operationalize resilience as dependent on the social and environmental context of older adults. Three of the five resilience measures in the included studies are used to evaluate general resilience. They are primarily psychological or psychosocial in nature, and measuring physical resilience therefore may help to better understand individuals' ability to cope with the physical challenges associated with various chronic diseases. Quality of life and physical activity were common outcomes in studies of resilience. Findings highlight the need for studies that incorporate physiological measures or physical properties of resilience and longitudinal studies that capture the dynamic process of resilience in older adults with multimorbidity.
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Wittlinger T, Bekić S, Guljaš S, Periša V, Volarić M, Trtica Majnarić L. Patterns of the physical, cognitive, and mental health status of older individuals in a real-life primary care setting and differences in coping styles. Front Med (Lausanne) 2022; 9:989814. [PMID: 36388902 PMCID: PMC9650321 DOI: 10.3389/fmed.2022.989814] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 09/08/2022] [Indexed: 12/05/2022] Open
Abstract
Background Physical frailty and cognitive decline are two major consequences of aging and are often in older individuals, especially in those with multimorbidity. These two disorders are known to usually coexist with each other, increasing the risk of each disorder for poor health outcomes. Mental health disorders, anxiety and depression, are common in older people with multimorbidity, in particular those with functional or sensory deficits, and frailty. Purpose The aim of this study was to show how physical frailty, cognitive impairments and mental disorders, cluster in the real life setting of older primary care (PC) patients, and how these clusters relate to age, comorbidities, stressful events, and coping strategies. Knowing that, could improve risk stratification of older individuals and guide the action plans. Methods Participants were older individuals (≥60, N = 263), attenders of PC, independent of care of others, and not suffering from dementia. For screening participants on physical frailty, cognitive impairment, and mental disorders, we used Fried‘s phenotype model, the Mini-Mental State Examination (MMSE), the Geriatric Anxiety Scale (GAS), and the Geriatric Depression Scale (GDS). For testing participants on coping styles, we used the 14-scale Brief-Coping with Problems Experienced (Brief-COPE) questionnaire. To identify clusters, we used the algorithm fuzzy k-means. To further describe the clusters, we examined differences in age, gender, number of chronic diseases and medications prescribed, some diagnoses of chronic diseases, the number of life events, body mass index, renal function, expressed as the glomerular filtration rate, and coping styles. Results The most appropriate cluster solution was the one with three clusters, that were termed as: functional (FUN; N = 139), with predominant frailty or dysfunctional (DFUN; N = 81), and with predominant cognitive impairments or cognitively impaired (COG-IMP; N = 43). Participants in two pathologic clusters, DFUN and COG-IMP, were in average older and had more somatic diseases, compared to participants in cluster FUN. Significant differences between the clusters were found in diagnoses of osteoporosis, osteoarthritis, anxiety/depression, cerebrovascular disease, and periphery artery disease. Participants in cluster FUN expressed mostly positive reframing coping style. Participants in two pathological clusters were represented with negative coping strategies. Religion and self-blame were coping mechanisms specific only for cluster DFUN; self-distraction only for cluster COG-IMP; and these two latter clusters shared the mechanisms of behavioral disengagement and denial. Conclusion The research approach presented in this study may help PC providers in risk stratification of older individuals and in getting insights into behavioral and coping strategies of patients with similar comorbidity patterns and functional disorders, which may guide them in preparing prevention and care plans. By providing some insights into the common mechanisms and pathways of clustering frailty, cognitive impairments and mental disorders, this research approach is useful for creating new hypotheses and in accelerating geriatric research.
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Affiliation(s)
| | - Sanja Bekić
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
- Department of Family Medicine, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
| | - Silva Guljaš
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
| | - Vlatka Periša
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
| | - Mile Volarić
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
| | - Ljiljana Trtica Majnarić
- Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
- Department of Family Medicine, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia
- *Correspondence: Ljiljana Trtica Majnarić
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Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy. Aging Clin Exp Res 2022; 34:3123-3130. [PMID: 36239853 PMCID: PMC9562060 DOI: 10.1007/s40520-022-02269-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 09/26/2022] [Indexed: 11/05/2022]
Abstract
Background Little is known on how frailty influences clinical outcomes in persons with specific multimorbidity patterns. Aims To investigate the interplay between multimorbidity and frailty in the association with mortality in older individuals living in nursing homes (NH). Methods We considered 4,131 NH residents aged 60 years and over, assessed through the interRAI LTCF instrument between 2014 and 2018. Follow-up was until 2019. Considering four multimorbidity patterns identified via principal component analysis, subjects were stratified in tertiles (T) with respect to their loading values. Frailty Index (FI) considered 23 variables and a cut-off of 0.24 distinguished between high and low frailty levels. For each pattern, all possible combinations of tertiles and FI were evaluated. Their association (Hazard Ratio [HR] and 95% confidence interval) with mortality was tested in Cox regression models. Results In the heart diseases and dementia and sensory impairments patterns, the hazard of death increases progressively with patterns expression and frailty severity (being HR T3 vs. T1 = 2.36 [2.01–2.78]; HR T3 vs. T1 = 2.12 [1.83–2.47], respectively). In heart, respiratory and psychiatric diseases and diabetes, musculoskeletal and vascular diseases patterns, frailty seems to have a stronger impact on mortality than patterns’ expression. Discussion Frailty increases mortality risk in all the patterns and provides additional prognostic information in NH residents with different multimorbidity patterns. Conclusions These findings support the need to routinely assess frailty. Older people affected by specific groups of chronic diseases need a specific care approach and have high risk of negative health outcomes. Supplementary Information The online version contains supplementary material available at 10.1007/s40520-022-02269-8.
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Irshad CV, Muhammad T, Balachandran A, Sekher TV, Dash U. Early life factors associated with old age physical frailty: evidence from India. AGING AND HEALTH RESEARCH 2022. [DOI: 10.1016/j.ahr.2022.100089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Shin JW, Kim EY, Son YJ. Home-dwelling older adults' experiences of living with both frailty and multimorbidity: A meta-ethnography. Geriatr Nurs 2022; 47:191-200. [PMID: 35940037 DOI: 10.1016/j.gerinurse.2022.07.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To systematically review qualitative studies about home-dwelling older adults' experiences of living with both frailty and multimorbidity. METHODS This study adopted a meta-ethnography; the databases included PubMed, Embase, CINAHL, Web of Science, PsycINFO, SCOPUS, and Google Scholar. Qualitative peer-reviewed articles in English were searched up to December 31, 2021. Themes and concepts were extracted through constant comparison across the included studies by three reviewers. RESULTS Of the 147 articles screened, nine qualitative articles, encompassing a total sample of 173 participants, were included. The four final synthesised themes were 'Being isolated in a closed life,' 'Being dependent on help from others,' 'Rebuilding to maximise quality of life,' and 'Struggling to live a meaningful life.' CONCLUSION Home-dwelling older adults with both frailty and multimorbidity are more likely to be socially isolated due to their physical limitations and lack of integration between hospital-based care and community healthcare services.
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Affiliation(s)
| | | | - Youn-Jung Son
- Red Cross College of Nursing, Chung-Ang University, 84 Heukseok ro, Dongjak-gu, Seoul 06974, South Korea.
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Ho HE, Yeh CJ, Wei JCC, Chu WM, Lee MC. Multimorbidity patterns and their relationships with incident disability and frailty among older adults in Taiwan: a 16-year, population-based cohort study. Arch Gerontol Geriatr 2022; 101:104688. [DOI: 10.1016/j.archger.2022.104688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/15/2022] [Accepted: 03/15/2022] [Indexed: 11/25/2022]
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Martínez-Velilla N, Galbete A, Roso-Llorach A, Zambom-Ferraresi F, Sáez de Asteasu ML, Izquierdo M, Vetrano DL, Calderón-Larrañaga A. Specific multimorbidity patterns modify the impact of an exercise intervention in older hospitalized adults. JOURNAL OF MULTIMORBIDITY AND COMORBIDITY 2022; 12:26335565221145461. [PMID: 36532657 PMCID: PMC9749545 DOI: 10.1177/26335565221145461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Different multimorbidity patterns present with different prognoses, but it is unknown to what extent they may influence the effectiveness of an individualized multicomponent exercise program offered to hospitalized older adults. METHODS This study is a secondary analysis of a randomized controlled trial conducted in the Department of Geriatric Medicine of a tertiary hospital. In addition to the standard care, an exercise-training multicomponent program was delivered to the intervention group during the acute hospitalization period. Multimorbidity patterns were determined through fuzzy c-means cluster analysis, over 38 chronic diseases. Functional, cognitive and affective outcomes were considered. RESULTS Three hundred and six patients were included in the analyses (154 control; 152 intervention), with a mean age of 87.2 years, and 58.5% being female. Four patterns of multimorbidity were identified: heart valves and prostate diseases (26.8%); metabolic diseases and colitis (20.6%); psychiatric, cardiovascular and autoimmune diseases (16%); and an unspecific pattern (36.6%). The Short Physical Performance Battery (SPPB) test improved across all patterns, but the intervention was most effective for patients in the metabolic/colitis pattern (2.48-point difference between intervention/control groups, 95% CI 1.60-3.35). Regarding the Barthel Index and the Mini Mental State Examination (MMSE), the differences were significant for all multimorbidity patterns, except for the psychiatric/cardio/autoimmune pattern. Differences concerning quality of life were especially high for the psychiatric/cardio/autoimmune pattern (16.9-point difference between intervention/control groups, 95% CI 4.04, 29.7). CONCLUSIONS Patients in all the analyzed multimorbidity patterns improved with this tailored program, but the improvement was highest for those in the metabolic pattern. Understanding how different chronic disease combinations are associated with specific functional and cognitive responses to a multicomponent exercise intervention may allow further tailoring such interventions to older patients' clinical profile.
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Affiliation(s)
- Nicolas Martínez-Velilla
- Navarrabiomed, Hospital Universitario de Navarra (HUN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
- Department of Geriatric Medicine, Hospital Universitario de Navarra, Pamplona, Spain
| | - Arkaitz Galbete
- Navarrabiomed, Hospital Universitario de Navarra (HUN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
| | - Albert Roso-Llorach
- Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Campus de la UAB, Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Spain
| | - Fabricio Zambom-Ferraresi
- Navarrabiomed, Hospital Universitario de Navarra (HUN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Mikel L Sáez de Asteasu
- Navarrabiomed, Hospital Universitario de Navarra (HUN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Mikel Izquierdo
- Navarrabiomed, Hospital Universitario de Navarra (HUN)-Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Davide L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Amaia Calderón-Larrañaga
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Solna, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
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Liu H, Zhang X, Chen B, Fang B, Lou VWQ, Hu J. The Differential Impact of Multimorbidity Patterns and Subsequent Accumulation on Longitudinal Trajectories of Physical Function Decline in a Population-based Cohort of Older People. J Gerontol A Biol Sci Med Sci 2021; 77:1629-1636. [PMID: 34951651 DOI: 10.1093/gerona/glab384] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Although both the patterns and accumulation of multimorbidity are important for predicting physical function, studies have not simultaneously examined their impact on functional decline. This study aimed to associate multimorbidity patterns and subsequently developed conditions with longitudinal trajectories of functional decline, and it tested whether the effects of newly developed conditions on functional decline varied across distinct multimorbidity patterns. METHODS We included 6,634 participants aged at least 60 years from the China Health and Retirement Longitudinal Survey. Latent class analysis identified multimorbidity patterns from 14 chronic conditions. Mixed negative binomial models estimated the changes in physical function measured across four waves as a function of multimorbidity patterns, subsequently developed conditions and their interactions. RESULTS Five distinct patterns were identified three years before wave 1: stomach/arthritis (15.7%), cardiometabolic (6.7%), arthritis/hypertension (47.9%), hepatorenal/multi-system (18.3%), and lung/asthma (11.4%). The hepatorenal/multi-system and the lung/asthma pattern were associated with worse baseline physical function, and the hypertension/arthritis pattern was associated with greater decline of physical function. The effect of developing new conditions on decline of physical function over time was most evident for individuals from the cardiometabolic pattern. DISCUSSION Considering both the combinations and progressive nature of multimorbidity is important for identifying individuals at greater risk of disability. Future studies are warranted to differentiate the factors responsible for the progression of chronic conditions in distinct multimorbidity patterns and investigate the potential implications for improved prediction of functional decline.
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Affiliation(s)
- Huiying Liu
- Department of Sociology, Central South University, Changsha, Hunan province, China.,Sau Po Centre on Ageing, University of Hong Kong, Hong Kong, China
| | - Xinyan Zhang
- Department of Sociology, Central South University, Changsha, Hunan province, China
| | - Beizhuo Chen
- Department of Sociology, Central South University, Changsha, Hunan province, China
| | - Boye Fang
- Sun Yat-Sen University, School of Sociology & Anthropology, Guangzhou, Guangdong province, CN
| | - Vivian W Q Lou
- Sau Po Centre on Ageing, University of Hong Kong, Hong Kong, China.,Department of Social Work and Social Administration, University of Hong Kong, Hong Kong, China
| | - Jian Hu
- Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan province, China
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Body mass trajectories and multimorbidity in old age: 12-year results from a population-based study. Clin Nutr 2021; 40:5764-5770. [PMID: 34763261 DOI: 10.1016/j.clnu.2021.10.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 09/15/2021] [Accepted: 10/13/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND & AIMS Body weight changes reflect and impact several health conditions in older age, but little is known about its relationship with multimorbidity. We aimed to study the association of long-terms trajectories of body mass index (BMI) with contemporaneous changes in multimorbidity -and multimorbidity type- development in a population-based cohort of older adults. METHODS Twelve-year BMI trajectories (2001-2013) were identified in subjects aged 60+ years from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) using growth mixture models (N = 2189). Information on 60 chronic diseases and multimorbidity was ascertained based on clinical examinations, lab tests, medications, and inpatient and outpatient medical records. Linear mixed models were used to study the association between BMI trajectories and the speed of chronic disease accumulation, in general and by groups of cardiovascular and neuropsychiatric diseases. RESULTS Eighty percent of the study population was included in what we defined a stable BMI trajectory, 18% in a slow-decline trajectory with an accelerated BMI decline from age 78 onwards, and 2% in a fast-decline trajectory that reached underweight values before age 85. A significantly higher yearly rate of chronic disease accumulation was observed in the fast-decline versus stable trajectory (β = 0.221, 95% CI 0.090-0.352) after adjusting the model for age cohort, sex, education and time to death. Subjects in the slow-decline trajectory showed a significantly higher yearly rate of cardiovascular disease accumulation (β = 0.016, 95% CI 0.000-0.031); those in the fast-decline trajectory showed a faster accumulation of both cardiovascular (β = 0.020, 95% CI -0.025, 0.064) and neuropsychiatric diseases (β = 0.102, 95% CI 0.064-0.139), even if the former association did not reach statistical significance. CONCLUSION Our results provide further evidence of the importance of carefully monitoring older adults with sustained weight loss, which is an early indicator of accelerated health deterioration, reflected in our study by a faster accumulation of chronic -especially neuropsychiatric- diseases.
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