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Weng TL, Meng LC, Peng LN, Lin MH, Hsiao FY, Chen LK. The Impact of Social Vulnerability on Alcohol Consumption and Mortality: A 20-year Age, Sex-stratified Analysis from the Taiwan Longitudinal Study of Aging. J Am Med Dir Assoc 2024; 25:105008. [PMID: 38688459 DOI: 10.1016/j.jamda.2024.03.119] [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: 02/07/2024] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 05/02/2024]
Abstract
OBJECTIVE This study aimed to use the Social Vulnerability Index (SVI) to encapsulate the complex and multidimensional nature of social determinants and their influence on alcohol intake and mortality in middle-aged and older individuals. DESIGN Cohort study. SETTING AND PARTICIPANTS Data were obtained from the Taiwan Longitudinal Study on Aging (TLSA), with 3945 study participants aged 50 years and older. METHODS The TLSA questionnaire defined SVI (51 items including living conditions, social support, socially oriented activities of daily living, social engagement and leisure, empowerment of life, satisfaction about life, and socioeconomic status) and alcohol intake (behavior as well as type and frequency of alcohol intake). Multivariate Cox proportional hazard models were used to estimate the association between alcohol intake and mortality, stratified by sex and SVI groups. RESULTS Men with high social vulnerability and high alcohol intake exhibit an elevated mortality risk [adjusted hazard ratio (aHR), 1.51; 95% CI, 1.01-2.24], whereas notably, women in similar social circumstances but with moderate alcohol intake face a quintupled mortality risk (>35 g/wk; aHR, 5.67; 95% CI, 2.37-13.61). The impact of alcohol and social vulnerability on mortality was more pronounced in men younger than 65. Among them, those with high social vulnerability and moderate (35-140 g/wk; aHR, 2.83; 95% CI, 1.50-5.36) to high (>140 g/wk; aHR, 2.24; 95% CI, 1.15-4.35) alcohol intake was associated with an increased risk of mortality. CONCLUSIONS AND IMPLICATIONS Various factors throughout the life course of both men and women significantly impact the risk of all-cause mortality due to alcohol intake, underscoring the importance of social vulnerability as a determinant of both alcohol intake behavior and mortality risk.
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Affiliation(s)
- Tzu-Ling Weng
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Public Health, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Lin-Chieh Meng
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Li-Ning Peng
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan; Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ming-Hsien Lin
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan; Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Fei-Yuan Hsiao
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan; School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan.
| | - Liang-Kung Chen
- Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan; Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Taipei Municipal Gan-Dau Hospital (Managed by Taipei Veterans General Hospital), Taipei, Taiwan.
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2
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Davenport CJ, Craven R. Supporting older adults who misuse alcohol. Nurs Older People 2024:e1469. [PMID: 38773831 DOI: 10.7748/nop.2024.e1469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2023] [Indexed: 05/24/2024]
Abstract
Older adulthood is a unique time of transition often referred to as the 'golden years'. It is characterised by positive life experiences such as retirement but also by a loss of routine, identity and meaning. The literature identifies alcohol misuse as a growing issue in this population. However, the stigma, perceptions and patterns of drinking associated with alcohol misuse among older people can be a barrier to individuals seeking health advice. This article identifies that older adulthood is a period when nurses can offer health education and support using their unique relationships with patients to encourage healthy drinking behaviours.
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Affiliation(s)
- Caroline Jane Davenport
- Lecturer, Department of Nursing and Midwifery, Faculty of Health Sciences, University of Hull, Hull, England
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3
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Padovan BV, Bijl MAJ, Langendijk JA, van der Laan HP, Van Dijk BAC, Festen S, Halmos GB. Evaluation of a new two-step frailty assessment of head and neck patients in a prospective cohort. Eur Arch Otorhinolaryngol 2024:10.1007/s00405-024-08651-8. [PMID: 38653824 DOI: 10.1007/s00405-024-08651-8] [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: 02/10/2024] [Accepted: 03/28/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE Assessing frailty, in head and neck cancer (HNC) patients is key when choosing appropriate treatment. Optimal screening is challenging, as it should be feasible and should avoid over-referral for comprehensive geriatric assessment (CGA) This study aims to evaluate the association between geriatric assessment using a new two-step care pathway, referral to geriatrician and adverse outcomes. METHODS This institutional retrospective analysis on a prospective cohort analysed the multimodal geriatric assessment (GA) of newly diagnosed HNC patients. Uni- and multivariable logistic regression was performed to study the association between the screening tests, and referral to the geriatrician for complete geriatric screening, and adverse outcomes. RESULTS This study included 539 patients, of whom 276 were screened. Patients who underwent the GA, were significantly older and more often had advanced tumour stages compared to non-screened patients. Referral to the geriatrician was done for 30.8% of patients. Of the 130 patients who underwent surgery, 26/130 (20%) experienced clinically relevant postoperative complications. Of the 184 patients who underwent (radio)chemotherapy, 50/184 (27.2%) had clinically relevant treatment-related toxicity. Age, treatment intensity, polypharmacy and cognitive deficits, were independently associated with referral to geriatrician. A medium to high risk of malnutrition was independently associated with acute radiation induced toxicity and adverse outcomes in general. CONCLUSION The current study showed a 30.8% referral rate for CGA by a geriatrician. Age, treatment intensity, cognitive deficits and polypharmacy were associated with higher rates of referral. Furthermore, nutritional status was found to be an important negative factor for adverse treatment outcomes, that requires attention.
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Affiliation(s)
- Beniamino Vincenzoni Padovan
- Department of Otorhinolaryngology/Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - M A J Bijl
- Department of Otorhinolaryngology/Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - J A Langendijk
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - H P van der Laan
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - B A C Van Dijk
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - S Festen
- University Medical Center Groningen, University Medical Center for Geriatric Medicine, Groningen, The Netherlands
| | - G B Halmos
- Department of Otorhinolaryngology/Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Ruderman SA, Drumright LN, Delaney JAC, Webel AR, Fitzpatrick AL, Whitney BM, Nance RM, Hahn AW, Ma J, Mixson LS, Eltonsy S, Willig AL, Mayer KH, Napravnik S, Greene M, McCaul M, Cachay E, Kritchevsky SB, Austad SN, Landay A, Saag MS, Kitahata MM, Lau B, Lesko C, Chander G, Crane HM, Odden MC. Evaluating the Sick Quitting Hypothesis for Frailty Status and Reducing Alcohol Use Among People With HIV in a Longitudinal Clinical Cohort Study. J Assoc Nurses AIDS Care 2024; 35:5-16. [PMID: 38150572 DOI: 10.1097/jnc.0000000000000441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
ABSTRACT "Sick quitting," a phenomenon describing reductions in alcohol consumption following poor health, may explain observations that alcohol appears protective for frailty risk. We examined associations between frailty and reductions in drinking frequency among people with HIV (PWH). At six Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) sites between January 2012 and August 2021, we assessed whether frailty, measured through validated modified frailty phenotype, precedes reductions in drinking frequency. We associated time-updated frailty with quitting and reducing frequency of any drinking and heavy episodic drinking (HED), adjusted for demographic and clinical characteristics in Cox models. Among 5,654 PWH reporting drinking, 60% reported >monthly drinking and 18% reported ≥monthly HED. Over an average of 5.4 years, frail PWH had greater probabilities of quitting (HR: 1.56, 95% confidence interval [95% CI] [1.13-2.15]) and reducing (HR: 1.35, 95% CI [1.13-1.62]) drinking frequency, as well as reducing HED frequency (HR: 1.58, 95% CI [1.20-2.09]) versus robust PWH. Sick quitting likely confounds the association between alcohol use and frailty risk, requiring investigation for control.
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Affiliation(s)
- Stephanie A Ruderman
- Stephanie A. Ruderman, PhD, MPH, is a Research Scientist, School of Medicine, University of Washington, Seattle, Washington, USA. Lydia N. Drumright, PhD, MPH, is a Clinical Assistant Professor, School of Nursing, University of Washington, Seattle, Washington, USA. Joseph A. C. Delaney, PhD, is a Research Associate Professor, College of Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada, and School of Medicine, University of Washington, Seattle, Washington, USA. Allison R. Webel, RN, PhD, is an Associate Dean for Research, School of Nursing, University of Washington, Seattle, Washington, USA. Annette L. Fitzpatrick, PhD, is a Research Professor, Department of Epidemiology, University of Washington, Seattle, Washington, USA. Bridget M. Whitney, PhD, MPH, is a Senior Research Scientist, School of Medicine, University of Washington, Seattle, Washington, USA. Robin M. Nance, PhD, is a Research Scientist, School of Medicine, University of Washington, Seattle, Washington, USA. Andrew W. Hahn, MD, is a Clinical Assistant Professor, School of Medicine, University of Washington, Seattle, Washington, USA. Jimmy Ma, MD, is an Infectious Disease Specialist, School of Medicine, University of Washington, Seattle, Washington, USA. L. Sarah Mixson, MPH, is a Research Scientist, School of Medicine, University of Washington, Seattle, Washington, USA. Sherif Eltonsy, PhD, is an Assistant Professor, College of Pharmacy, University of Manitoba, Winnipeg, Manitoba, Canada. Amanda L Willig, PhD, RD, is an Associate Professor, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA. Kenneth H. Mayer, MD, is a Professor, Harvard Medical School, Fenway Institute, Boston, Massachusetts, USA. Sonia Napravnik, PhD, MPH, is an Associate Professor, Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, USA. Meredith Greene, MD, is an Associate Professor, Department of Medicine, University of California San Francisco, San Francisco, California, USA. Mary McCaul, PhD, is a Professor, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA. Edward Cachay, MD, is a Professor, Department of Medicine, University of California San Diego, San Diego, California, USA. Stephen B. Kritchevsky, PhD, is a Professor, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA. Steven N. Austad, PhD, is a Distinguished Professor, Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA. Alan Landay, PhD, is a Professor, Department of Internal Medicine, Rush University, Chicago, Illinois, USA. Michael S. Saag, MD, is a Professor and Associate Dean, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA. Mari M. Kitahata, MD, MPH, is a Professor, School of Medicine, University of Washington, Seattle, Washington, USA. Bryan Lau, PhD, is a Professor, Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA. Catherine Lesko, PhD, MPH, is an Assistant Professor, Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA. Geetanjali Chander, MD, MPH, is a Professor, School of Medicine, University of Washington, Seattle, Washington, USA. Heidi M. Crane, MD, MPH, is a Professor, School of Medicine, University of Washington, Seattle, Washington, USA. Michelle C. Odden, PhD, is an Associate Professor, Department of Epidemiology, Stanford University, Stanford, California, USA
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Barrera A, Rezende LFM, Sabag A, Keating CJ, Rey-Lopez JP. Understanding the Causes of Frailty Using a Life-Course Perspective: A Systematic Review. Healthcare (Basel) 2023; 12:22. [PMID: 38200928 PMCID: PMC10778671 DOI: 10.3390/healthcare12010022] [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: 11/29/2023] [Revised: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
(1) Background: Few studies have examined risk factors of frailty during early life and mid-adulthood, which may be critical to prevent frailty and/or postpone it. The aim was to identify early life and adulthood risk factors associated with frailty. (2) Methods: A systematic review of cohort studies (of at least 10 years of follow-up), using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA). A risk of confounding score was created by the authors for risk of bias assessment. Three databases were searched from inception until 1 January 2023 (Web of Science, Embase, PubMed). Inclusion criteria were any cohort study that evaluated associations between any risk factor and frailty. (3) Results: Overall, a total of 5765 articles were identified, with 33 meeting the inclusion criteria. Of the included studies, only 16 were categorized as having a low risk of confounding due to pre-existing diseases. The long-term risk of frailty was lower among individuals who were normal weight, physically active, consumed fruits and vegetables regularly, and refrained from tobacco smoking, excessive alcohol intake, and regular consumption of sugar or artificially sweetened drinks. (4) Conclusions: Frailty in older adults might be prevented or postponed with behaviors related to ideal cardiovascular health.
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Affiliation(s)
- Antonio Barrera
- Faculty of Health Sciences, Universidad Internacional de Valencia (VIU), 46002 Valencia, Spain;
| | - Leandro F. M. Rezende
- Department of Preventive Medicine, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo 04023-900, SP, Brazil;
| | - Angelo Sabag
- Discipline of Exercise and Sport Science, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia;
| | | | - Juan Pablo Rey-Lopez
- Faculty of Health Sciences, Universidad Internacional de Valencia (VIU), 46002 Valencia, Spain;
- Facultad de Deporte, UCAM Universidad Catolica de Murcia, 30107 Murcia, Spain;
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Nie X, Williams G, Verma A, Zhu Y, Fu H, Jia Y, Dai J, Gao J. Association between alcohol use and frailty among elder adults in three Chinese cities. J Public Health (Oxf) 2023; 45:i28-i34. [PMID: 38127560 DOI: 10.1093/pubmed/fdad200] [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: 09/27/2021] [Revised: 04/25/2023] [Accepted: 09/29/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Frailty is often described as a condition of the elderly and alcohol use is associated with frailty. The aim of this study is to examine the associations between alcohol use and frailty in three cities in elder adults. METHODS A cross-sectional study was conducted in three cities in China from June 2017 to October 2018. In total, 2888 residents aged ≥65 years old were selected by using a multi-level stage sampling procedure. Alcohol use was assessed by Focusing on Cutting down, Annoyance by criticism, Guilty feeling, and Eye-openers (CAGE) four-item questionnaire. Frailty was measured by a validated Chinese version of the Fatigue, Resistance, Ambulation, Illness, and Loss of weight (FRAIL) scale. Multinomial logistic regressions were used to examine the association of alcohol use with pre-frailty and frailty after controlling for varied covariates. RESULTS In general, the prevalence of pre-frailty and frailty was 38.64 and 20.26%, respectively. After controlling for covariates and interaction of age and problematic drinking, non-problematic drinkers neither had association with pre-frailty (OR: 1.15, 95%CI:0.86-1.52) nor with frailty (OR:0.90, 95%CI:0.60-1.36), and problematic drinkers neither had association with frailty (OR: 1.21, 95%CI:0.83-1.76), while problematic drinkers had high odd ratios of frailty (OR:3.28, 95%CI:2.02-5.33) compared with zero-drinker. CONCLUSIONS Our study found a positive association between problematic drinking and frailty, no relationship between non-problematic drinking and (pre-)frailty compared with zero-drinking among Chinese elder adults. Based on previous findings and ours, we conclude it is important for the prevention of frailty to advocate no problematic drinking among elder adults.
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Affiliation(s)
- Xin Nie
- Biostatistics Office of Clinical Research Unit, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Greg Williams
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK
| | - Arpana Verma
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK
| | - Yongkai Zhu
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Hua Fu
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yingnan Jia
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Junming Dai
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Junling Gao
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai 200032, China
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7
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Zhang N, Jia Z, Gu T, Zheng Y, Zhang Y, Song W, Chen Z, Li G, Tse G, Liu T. Associations between modifiable risk factors and frailty: a Mendelian randomisation study. J Epidemiol Community Health 2023; 77:782-790. [PMID: 37604674 DOI: 10.1136/jech-2023-220882] [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: 05/20/2023] [Accepted: 08/08/2023] [Indexed: 08/23/2023]
Abstract
BACKGROUND Early identification of modifiable risk factors is essential for the prevention of frailty. This study aimed to explore the causal relationships between a spectrum of genetically predicted risk factors and frailty. METHODS Univariable and multivariable Mendelian randomisation (MR) analyses were performed to explore the relationships between 22 potential risk factors and frailty, using summary genome-wide association statistics. Frailty was accessed by the frailty index. RESULTS Genetic liability to coronary artery disease (CAD), type 2 diabetes mellitus (T2DM), ischaemic stroke, atrial fibrillation and regular smoking history, as well as genetically predicted 1-SD increase in body mass index, systolic blood pressure, diastolic blood pressure, low-density lipoprotein cholesterol, triglycerides, alcohol intake frequency and sleeplessness were significantly associated with increased risk of frailty (all p<0.001). In addition, there was a significant inverse association between genetically predicted college or university degree with risk of frailty (beta -0.474; 95% CI (-0.561 to -0.388); p<0.001), and a suggestive inverse association between high-density lipoprotein cholesterol level with risk of frailty (beta -0.032; 95% CI (-0.055 to -0.010); p=0.004). However, no significant causal associations were observed between coffee consumption, tea consumption, serum level of total testosterone, oestradiol, 25-hydroxyvitamin D, C reactive protein or moderate to vigorous physical activity level with frailty (all p>0.05). Results of the reverse directional MR suggested bidirectional causal associations between T2DM and CAD with frailty. CONCLUSIONS This study provided genetic evidence for the causal associations between several modifiable risk factors with lifetime frailty risk. A multidimensional approach targeting these factors may hold a promising prospect for prevention frailty.
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Affiliation(s)
- Nan Zhang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Ziheng Jia
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Tianshu Gu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Yi Zheng
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Yunpeng Zhang
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Wenhua Song
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Ziliang Chen
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Guangping Li
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
- Kent and Medway Medical School, University of Kent and Canterbury Christ Church University, Canterbury, Kent, UK
- School of Nursing and Health Studies, Hong Kong, Metropolitan University, Hong Kong, China
| | - Tong Liu
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China
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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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9
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Guo X, Tang P, Zhang L, Li R. Tobacco and alcohol consumption and the risk of frailty and falling: a Mendelian randomisation study. J Epidemiol Community Health 2023; 77:349-354. [PMID: 37001985 DOI: 10.1136/jech-2022-219855] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 03/22/2023] [Indexed: 04/03/2023]
Abstract
BackgroundEpidemiological data have suggested that tobacco and alcohol consumption were associated with the risk of frailty and falling, but it is yet unclear whether these associations are of a causal nature. Thus, we conducted two-sample Mendelian randomisation analysis using genetic instruments to determine the causal associations of tobacco and alcohol consumption on frailty and falls.MethodsIndependent instrumental variables strongly (p<5E–09) associated with tobacco and alcohol consumption were obtained from the genome-wide association study (GWAS) and Sequencing Consortium of Alcohol and Nicotine use (up to 2 669 029 participants). Summary statistics of the frailty index (FI, N=175 226) and falling risk (N=451 179) were from the two latest published GWAS datasets on FI and falling risk.ResultsUsing the inverse-variance weighted method, our results showed that genetically determined initiation of smoking was significantly associated with an increased FI (β=0.34, 95% CI=0.29 to 0.40, p=5.48E–33) and risk of falling (OR=1.39, 95% CI=1.30 to 1.50, p=1.01E–20). In addition, the age of initiation of smoking and cigarettes consumption per day was negatively and positively associated with both FI and falls, respectively. Current smokers were prone to having a higher FI and falling risk than individuals who quit smoking. There was no significant causal association between alcohol use and the risk of frailty and falling. Similar results were obtained using other statistical approaches with good stability.ConclusionsOur findings demonstrate that tobacco use, but not alcohol drinking, significantly increases the risk of frailty and falling. Future studies are warranted to clarify the underlying physiopathological mechanisms.
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Affiliation(s)
- Xingzhi Guo
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, Shaanxi, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, Shaanxi, China
| | - Peng Tang
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, Shaanxi, China
| | - Lina Zhang
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, Shaanxi, China
| | - Rui Li
- Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Geriatric Medicine, Xi'an, Shaanxi, China
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, Shaanxi, China
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10
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Gao J, Wang Y, Xu J, Jiang J, Yang S, Xiao Q. Life expectancy among older adults with or without frailty in China: multistate modelling of a national longitudinal cohort study. BMC Med 2023; 21:101. [PMID: 36927351 PMCID: PMC10021933 DOI: 10.1186/s12916-023-02825-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/09/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Little is known about life expectancy (LE) with or without frailty. We aimed to estimate the total LE and duration of the state of frailty in China. METHODS This study included older adults aged 65 years and older from the Chinese Longitudinal Healthy Longevity Study (CLHLS). Frailty status was classified into robust, pre-frailty and frailty based on a cumulative deficit model. Total and specific frailty state LEs at 65 years of age were estimated and stratified by demographic characteristics, behaviours, and psychosocial factors using continuous-time multistate modelling. RESULTS The total LE of older adults aged 65 years in China was 14.74 years on average (95% CI: 14.52-14.94), of which 4.18 years (95% CI: 4.05-4.30) were robust, 7.46 years (95% CI: 7.31-7.61) pre-frail and 3.10 years (95% CI: 3.01-3.20) frail. Older adults with higher robust LE included men (4.71 years, 95% CI: 4.56-4.88), married older adults (4.41 years, 95% CI: 4.27-4.56), those engaging in physical activity (4.41 years, 95% CI: 4.23-4.59), those consuming fruits daily (4.48 years, 95% CI: 4.22-4.77) and those with high social participation (4.39 years, 95% CI: 4.26-4.53). Increased educational attainment were gradually associated with increased robust LE. CONCLUSIONS Frailty may lead to a reduced total LE and robust LE of older adults in China. In addition to finding inequalities in total and robust LEs by socioeconomic status, our findings also highlight that healthy behaviours and social participation may ease frailty-related reductions in total and robust LE. Our findings imply that national life-course strategies aimed at frailty screening and psychosocial and behavioural interventions could be important for health aging in China.
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Affiliation(s)
- Junling Gao
- grid.8547.e0000 0001 0125 2443School of Public Health, Fudan University, Shanghai, 200032 China
- Collaborative Innovation Cooperative Unit of National Clinical Research Center for Geriatric Diseases, Shanghai, 200032 China
- grid.452344.0Core Unit of Shanghai Clinical Research Center for Aging and Medicine, Shanghai, 200040 China
| | - Yujie Wang
- grid.8547.e0000 0001 0125 2443School of Public Health, Fudan University, Shanghai, 200032 China
| | - Jixiang Xu
- grid.8547.e0000 0001 0125 2443School of Public Health, Fudan University, Shanghai, 200032 China
| | - Junjia Jiang
- grid.8547.e0000 0001 0125 2443School of Public Health, Fudan University, Shanghai, 200032 China
| | - Shitong Yang
- grid.8547.e0000 0001 0125 2443School of Public Health, Fudan University, Shanghai, 200032 China
| | - Qianyi Xiao
- grid.8547.e0000 0001 0125 2443School of Public Health, Fudan University, Shanghai, 200032 China
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11
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Lv J, Wu L, Sun S, Yu H, Shen Z, Xu J, Zhu J, Chen D, Jiang M. Smoking, alcohol consumption, and frailty: A Mendelian randomization study. Front Genet 2023; 14:1092410. [PMID: 36816044 PMCID: PMC9935614 DOI: 10.3389/fgene.2023.1092410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/19/2023] [Indexed: 02/05/2023] Open
Abstract
Background: Tobacco smoking and alcohol consumption have been associated with frailty in observational studies. We sought to examine whether these associations reflect causality using the two-sample Mendelian randomization (MR) design. Methods: We used summary genome-wide association statistics for smoking initiation (N = 2,669,029), alcohol consumption (N = 2,428,851), and the frailty index (FI, N = 175,226) in participants of European ancestry. Both univariable and multivariable MR were performed to comprehensively evaluate the independent effects of smoking and alcohol consumption on the FI, accompanied by multiple sensitivity analyses. Results were verified using lifetime smoking and alcohol use disorder. Reverse direction MR was undertaken to assess the potential for reverse causation. Results: Genetic predisposition to smoking initiation was significantly associated with increased FI (univariable MR: β = 0.345; 95% confidence interval [CI] = 0.316 to 0.374; p = 1.36E-113; multivariable MR: β = 0.219; 95% CI = 0.197 to 0.241; p = 2.44E-83). Genetically predicted alcohol consumption showed a suggestive association with the FI (univariable MR: β = -0.090; 95% CI = -0.151 to -0.029; p = 0.003; multivariable MR β = -0.153; 95% CI = -0.212 to -0.094; p = 2.03E-07), with inconsistent results in sensitivity analyses. In complementary analysis, genetic predicted lifetime smoking, but not alcohol use disorder was associated with the FI. There is no convincing evidence for reverse causation. Conclusion: The present MR study supported smoking as a causal risk factor of frailty. Further research is warranted to investigate whether alcohol consumption has a causal role in frailty.
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Affiliation(s)
- Jiannan Lv
- Ganyao Town Hospital of Jiashan County, Jiaxing, China
| | - Lianghua Wu
- Ganyao Town Hospital of Jiashan County, Jiaxing, China
| | - Sheng Sun
- Ganyao Town Hospital of Jiashan County, Jiaxing, China
| | - Huifang Yu
- Ganyao Town Hospital of Jiashan County, Jiaxing, China
| | - Zekai Shen
- Ganyao Town Hospital of Jiashan County, Jiaxing, China
| | - Jun Xu
- Majin Town Hospital of Kaihua County, Quzhou, China
| | - Jiahao Zhu
- School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Dingwan Chen
- School of Public Health, Hangzhou Medical College, Hangzhou, China,*Correspondence: Minmin Jiang, ; Dingwan Chen,
| | - Minmin Jiang
- Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China,*Correspondence: Minmin Jiang, ; Dingwan Chen,
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12
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Landré B, Ben Hassen C, Kivimaki M, Bloomberg M, Dugravot A, Schniztler A, Sabia S, Singh-Manoux A. Trajectories of physical and mental functioning over 25 years before onset of frailty: results from the Whitehall II cohort study. J Cachexia Sarcopenia Muscle 2023; 14:288-297. [PMID: 36397170 PMCID: PMC9891967 DOI: 10.1002/jcsm.13129] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/14/2022] [Accepted: 10/25/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Research on frailty, a major contributor to heterogeneity in health, is undertaken on older adults although the processes leading to frailty are likely to begin earlier in the life course. Using repeat data spanning 25 years, we examined changes in physical and mental functioning before the onset of frailty, defined using Fried's frailty phenotype (FFP). METHODS Functioning was measured using the Short-Form 36 General Health Survey (SF-36) on nine occasions from 1991 (age range 40-63 years) to 2015 (age range 63-85 years). The poorest of four FFP scores from 2002, 2007, 2012 and 2015 was used to classify participants as frail, pre-frail, or robust. We used linear mixed models with a backward timescale such that time 0 was the person-specific date of frailty classification for frail and pre-frail participants and the end of follow-up for robust participants. Analyses adjusted for socio-demographic factors, health behaviours, body mass index and multi-morbidity status were used to compare SF-36 physical (PCS) and mental (MCS) component summary scores over 25 years before time 0 as a function of FFP classification, with estimates extracted at time 0, -5, -10, -15, -20 and -25 years. We also used illness-death models to examine the prospective association between SF-36 component summary scores at age 50 and incident FFP-defined frailty. RESULTS Among 7044 participants of the Whitehall II cohort study included in the analysis [29% female, mean age 49.7 (SD = 6.0) at baseline in 1991], 2055 (29%) participants remained robust, and 4476 (64%) became pre-frail and 513 (7%) frail during follow-up. Frail compared with robust participants had lower SF-36 scores at t = -25 before onset of frailty with a difference of 3.4 [95% confidence interval (CI) 1.6, 5.1] in PCS and 1.8 (-0.2, 3.8) in MCS. At t = 0, the differences increased to 11.5 (10.5, 12.5) and 9.1 (8.0, 10.2), respectively. The differences in SF-36 between the robust and pre-frail groups, although smaller [at t = 0, 1.7 (1.2, 2.2) in PCS and 4.0 (3.4, 4.5) in MCS], were already observed 20 and 25 years, respectively, before the onset of pre-frailty. Prospective analyses showed that at age 50, scores in the bottom quartiles of PCS [hazard ratio (HR) compared with the top quartile = 2.39, 95% CI 1.85, 3.07] and MCS [HR = 1.49 (1.15, 1.93)] were associated with a higher risk of FFP-defined frailty at older ages. CONCLUSIONS Differences in trajectories of physical and mental functioning in individuals who developed physical frailty at older ages were observable 25 years before onset of FFP-defined frailty. These findings highlight the need for a life course approach in efforts to prevent frailty.
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Affiliation(s)
- Benjamin Landré
- Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Céline Ben Hassen
- Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Mika Kivimaki
- Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.,Department of Epidemiology and Public Health, University College London, London, UK
| | - Mikaela Bloomberg
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Aline Dugravot
- Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Alexis Schniztler
- Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
| | - Séverine Sabia
- Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.,Department of Epidemiology and Public Health, University College London, London, UK
| | - Archana Singh-Manoux
- Université Paris Cité, Inserm U1153, CRESS, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France.,Department of Epidemiology and Public Health, University College London, London, UK
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13
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Rodríguez-Laso Á, García-García FJ, Rodríguez-Mañas L. Predictors of Maintained Transitions Between Robustness and Prefrailty in Community-Dwelling Older Spaniards. J Am Med Dir Assoc 2023; 24:57-64. [PMID: 36403661 DOI: 10.1016/j.jamda.2022.10.010] [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: 07/08/2022] [Revised: 10/10/2022] [Accepted: 10/17/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES We aimed to explore predictors of sustained transitions (those that are maintained for an extra follow-up) between robustness and prefrailty in both directions. DESIGN Longitudinal population-based cohort. SETTING AND PARTICIPANTS Community-dwelling Spaniards 65 years or older from the Toledo Study of Healthy Ageing. METHODS The Fried's frailty phenotype was measured over 3 waves (2006-2009, 2011-2013, and 2014-2017). Multiple logistic regressions compared individuals following the pattern robust-prefrail-prefrail with those who remained robust across waves, and those following the pattern prefrail-robust-robust with those who remained prefrail, for sociodemographic, clinical, life-habits, dependency for activities of daily living, upper and lower extremities' strength variables. The Fried's items of those who remained prefrail and those who became robust were compared. RESULTS Mean age was 72.3 years (95% CI: 71.8-72.8) and 57.9% (52.7%-63.0%) were women. After multivariate adjustment, predictors (apart from age) of the sustained transition robustness-prefrailty were as follows: number of drugs taken (odds ratio: 1.37; 95% CI: 1.14-1.65), not declaring the amount of alcohol consumed (8.32; 1.78-38.88), and grip strength (0.92 per kg; 0.86-0.99). Predictors of the sustained transition prefrailty-robustness were as follows: drinking alcohol (0.2; 0.05-0.83), uricemia (0.67; 0.49-0.93), number of chair stands in 30 seconds (1.14; 1.01-1.28), and grip strength (1.12; 1.05-1.2). Low grip strength was associated with a lower probability of regaining robustness. CONCLUSIONS AND IMPLICATIONS Prediction of sustained transitions between the first stages of frailty development can be achieved with a reduced number of variables and noting whether the Fried's item leading to a diagnosis of prefrailty is low grip strength. Our results suggest the need to intensify interventions on deprescription, quitting alcohol, and strengthening of upper and lower limbs.
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Affiliation(s)
| | - Francisco José García-García
- CIBERFES, ISCIII, Madrid, Spain; Geriatric Department, Hospital Virgen del Valle, Complejo Hospitalario de Toledo, Toledo, Spain
| | - Leocadio Rodríguez-Mañas
- CIBERFES, ISCIII, Madrid, Spain; Biomedical Research Foundation, Hospital Universitario de Getafe, Madrid, Spain; Geriatric Department, Hospital Universitario de Getafe, Madrid, Spain.
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14
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Wang Y, Yang X, Liu H, Feng Q, Li Y, Hou W, Chen X, Huang L, Wu J. Characteristics of frailty phenotype in Chinese nursing home population and significance of motor function indicators in frailty assessment. Medicine (Baltimore) 2022; 101:e31971. [PMID: 36626538 PMCID: PMC9750645 DOI: 10.1097/md.0000000000031971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The objectives of this study were to analyze the distribution characteristics of frailty phenotypes in older adults of Chinese nursing homes, and to compare some motor function characteristics of older adults in nursing homes between frailty and non-frailty, to determine which motor function and frailty are related. This cross-sectional study included 177 older adults living in nursing homes. Frailty was diagnosed by Fried's phenotype, and motor function assessment characteristics (including muscle tone, ROM, and balance) were also evaluated. Chi-square and logistic regression analyses were performed. Frailty prevalence was 53% in nursing homes in big Chinese cities (average age 82.0 ± 6.1). Low levels of physical activity (90.4% in frail elder), decreased handgrip strength (98.9% in frail elder) and slowed walking speed (100% in frail elder) were the 3 main components of the frailty phenotype of frail adults in nursing homes in China. It is worth noting that 74.7% of the non-frail elders also had reduced handgrip strength. Further analysis showed that balance (P < .001), muscle tone (upper, P = .028, lower, P = .001) and the range of motion (P < .001) were associated with frailty in older adults. The frailty of the elders in Chinese nursing homes was characterized by the decline of motor function. And surprisingly, both frail and non-frail elders were found to have poor strength. Frail nursing home seniors also have body muscle tone, range of motion and balance problems. The elderly of China should focus on strength, stretch and balance training to improve motor function, especially strength training, which is important for prevention frailty.
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Affiliation(s)
- Yizhao Wang
- College of Exercise and Health Sciences, Tianjin University of Sport, West Tuanbo New Town, Jinghai District, Tianjin, China
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Jinnan District, Tianjin, China
- * Correspondence: Yizhao Wang, College of Exercise and Health Sciences, Tianjin University of Sport, No.16 Donghai Road, West Tuanbo New Town, Jinghai District, Tianjin 301671, China (e-mail: )
| | - Xin Yang
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Jinnan District, Tianjin, China
- Graduate school, Tianjin Medical University, Heping District, Tianjin, China
| | - Hao Liu
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Jinnan District, Tianjin, China
| | - Qingling Feng
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Jinnan District, Tianjin, China
| | - Yaqing Li
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Jinnan District, Tianjin, China
| | - Weijia Hou
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Jinnan District, Tianjin, China
| | - Xinlong Chen
- Department of Rehabilitation Medicine, Tianjin Huanhu Hospital, Jinnan District, Tianjin, China
| | - Liping Huang
- College of Exercise and Health Sciences, Tianjin University of Sport, West Tuanbo New Town, Jinghai District, Tianjin, China
| | - Jialing Wu
- Department of Neurology, Tianjin Huanhu Hosptial, Jinnan District, Tianjin, China
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Jemberie WB, Padyab M, McCarty D, Lundgren LM. Recurrent risk of hospitalization among older people with problematic alcohol use: a multiple failure-time analysis with a discontinuous risk model. Addiction 2022; 117:2415-2430. [PMID: 35470927 PMCID: PMC9543276 DOI: 10.1111/add.15907] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 04/03/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Older people with problematic alcohol use vary in psychosocial functioning, age of onset for problem drinking and use of other drugs. The study measured the differential risks of all-cause, alcohol-, polydrug- and psychiatric-related repeated hospitalizations among older people with problematic alcohol use. DESIGN A linked register-based cohort study with discontinuous multiple-failure (time-to-repeated-event) data. Hospitalization and mortality were considered as failure. SETTING Sweden, March 2003-November 2017, using data from the Addiction Severity Index (ASI) register linked to National Inpatient Register and the Swedish cause of death register. PARTICIPANTS Participants aged 50 years and older (n = 1741; 28.2% women), with one or more alcohol problem days in the 30 days before an ASI assessment. MEASUREMENTS Five mutually exclusive latent classes of problematic alcohol use, identified with 11 ASI items, were the independent variables: 'late onset with fewer consequences (LO:FC; reference group)'; 'early onset/prevalent multi-dimensional problems (EO:MD)'; 'late onset with co-occurring anxiety and depression (LO:AD)'; 'early onset with co-occurring psychiatric problems (EO:PP)'; and 'early onset with major alcohol problem (EO:AP)'. Covariates included socio-demographic characteristics, previous hospitalization and Elixhauser comorbidity index. Outcome measurements included recurrent hospitalization and/or mortality due to: (a) all-cause, (b) alcohol-related disorders and diseases (c) polydrug use and (d) other psychiatric disorders. FINDINGS During the study period, more than 75% were hospitalized at least once or died. 57.3% were hospitalized with alcohol-related, 8.5% with polydrug use and 18.5% with psychiatric-related diagnoses. Compared with LO:FC, EO:PP had higher risk for all-cause [adjusted hazard ratio (aHR) = 1.27, 95% confidence interval (CI) = 1.02-1.59] and alcohol-related (aHR = 1.34, 95% CI = 1.02-1.75) hospitalizations. Adjusted risks for polydrug-related hospitalization were 2.55, 95% CI = 1.04-6.27 for EO:MD and 2.62, 95% CI = 1.07-6.40 for EO:PP. Adjusted risk for psychiatric-related hospitalization was higher for LO:AD (aHR = 1.78, 95% CI = 1.16-2.73 and EO:PP (aHR = 2.03, 95% CI = 1.22-3.38). CONCLUSIONS Older addiction service users in Sweden have varying risks of hospitalization due to alcohol use, polydrug use and psychiatric disorders. Older people with problematic alcohol use who have multiple needs and are assessed in social services may benefit from earlier interventions with an integrated focus on substance use and mental health.
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Affiliation(s)
- Wossenseged Birhane Jemberie
- Department of Social WorkUmeå UniversityUmeåSweden,Centre for Demographic and Ageing Research (CEDAR)Umeå UniversityUmeåSweden,The Swedish National Graduate School on Aging and Health (SWEAH), Faculty of MedicineLund UniversityLundSweden
| | - Mojgan Padyab
- Department of Social WorkUmeå UniversityUmeåSweden,Centre for Demographic and Ageing Research (CEDAR)Umeå UniversityUmeåSweden
| | - Dennis McCarty
- Oregon Health and Science University‐ Portland State UniversitySchool of Public HealthPortlandORUSA
| | - Lena M. Lundgren
- Department of Social WorkUmeå UniversityUmeåSweden,Cross‐National Behavioral Health Laboratory, Graduate School of Social WorkUniversity of DenverDenverCOUSA
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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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17
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Zhang D, Mobley EM, Manini TM, Leeuwenburgh C, Anton SD, Washington CJ, Zhou D, Parker AS, Okunieff PG, Bian J, Guo Y, Pahor M, Hiatt RA, Braithwaite D. Frailty and risk of mortality in older cancer survivors and adults without a cancer history: Evidence from the National Health and Nutrition Examination Survey, 1999-2014. Cancer 2022; 128:2978-2987. [PMID: 35608563 PMCID: PMC9671088 DOI: 10.1002/cncr.34258] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 04/11/2022] [Accepted: 04/22/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Epidemiologic evidence reporting the role of frailty in survival among older adults with a prior cancer diagnosis is limited. METHODS A total of 2050 older adults (≥60 years old) surviving for at least 1 year after a cancer diagnosis and 9474 older adults without a cancer history from the National Health and Nutrition Examination Survey (1999-2014) were included for analysis. The exposure variable, a 45-item frailty index (FI), was categorized on the basis of validated cutoffs (FI ≤ 0.10 [fit], 0.10 < FI ≤ 0.21 [prefrail], and FI > 0.21 [frail]). All-cause mortality was ascertained via the National Death Index. Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratios (aHRs) and 95% confidence interval (CIs) for the FI, and this was followed by restricted cubic splines depicting dose-response curves. RESULTS For older cancer survivors, the mean age at the baseline was 72.6 years (SD, 7.1 years); 5.9% were fit, 38.2% were prefrail, and 55.9% were frail. Older adults without a cancer history were slightly younger (mean age, 70.0 years) and less frail (47.9% were frail). At each level of the FI, cancer survivors (1.9 per 100 person-years for FI ≤ 0.10, 3.4 per 100 person-years for 0.10 < FI ≤ 0.21, and 7.5 per 100 person-years for FI > 0.21) had higher mortality than their cancer-free counterparts (1.4 per 100 person-years for FI ≤ 0.10, 2.4 per 100 person-years for 0.10 < FI ≤ 0.21, and 5.4 per 100 person-years for FI > 0.21). The multivariable model suggested a positive association between the FI and all-cause mortality for survivors (aHR for FI > 0.21 vs FI ≤ 0.10, 2.80; 95% CI, 1.73-4.53) and participants without a cancer history (aHR for FI > 0.21 vs FI ≤ 0.10, 2.75; 95% CI, 2.29-3.32). Restricted cubic splines indicated that all-cause mortality risk increased with the FI in a monotonic pattern. CONCLUSIONS Frailty is associated with a higher risk of death in older cancer survivors and the elderly without a cancer history.
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Affiliation(s)
- Dongyu Zhang
- Department of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida
- University of Florida Health Cancer Center, Gainesville, Florida
| | - Erin M. Mobley
- University of Florida Health Cancer Center, Gainesville, Florida
- Department of Surgery, University of Florida College of Medicine, Jacksonville, Florida
| | - Todd M. Manini
- Department of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, Florida
| | - Christiaan Leeuwenburgh
- Department of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, Florida
| | - Stephen D. Anton
- Department of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, Florida
| | | | - Daohong Zhou
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center at San Antonio, San Antonio, Texas
| | - Alexander S. Parker
- University of Florida Health Cancer Center, Gainesville, Florida
- University of Florida College of Medicine, Jacksonville, Florida
| | - Paul G. Okunieff
- University of Florida Health Cancer Center, Gainesville, Florida
- Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, Florida
| | - Jiang Bian
- University of Florida Health Cancer Center, Gainesville, Florida
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida
| | - Yi Guo
- University of Florida Health Cancer Center, Gainesville, Florida
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida
| | - Marco Pahor
- Department of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, Florida
| | - Robert A. Hiatt
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Dejana Braithwaite
- Department of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida
- University of Florida Health Cancer Center, Gainesville, Florida
- Department of Surgery, University of Florida College of Medicine, Gainesville, Florida
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Abstract
OBJECTIVE Given the aging population of people with HIV (PWH), along with increasing rates of binge drinking among both PWH and the general older adult population, this study examined the independent and interactive effects of HIV, binge drinking, and age on neurocognition. METHOD Participants were 146 drinkers stratified by HIV and binge drinking status (i.e., ≥4 drinks for women and ≥5 drinks for men within approximately 2 h): HIV+/Binge+ (n = 30), HIV-/Binge+ (n = 23), HIV+/Binge- (n = 55), HIV-/Binge- (n = 38). All participants completed a comprehensive neuropsychological battery measuring demographically-corrected global and domain-specific neurocognitive T scores. ANCOVA models examined independent and interactive effects of HIV and binge drinking on neurocognitive outcomes, adjusting for overall alcohol consumption, lifetime substance use, sex, and age. Subsequent multiple linear regressions examined whether HIV/Binge group moderated the relationship between age and neurocognition. RESULTS HIV+/Binge+ participants had worse global neurocognition, processing speed, delayed recall, and working memory than HIV-/Binge- participants (p's < .05). While there were significant main effects of HIV and binge drinking, their interaction did not predict any of those neurocognitive outcomes (p's > .05). Significant interactions between age and HIV/Binge group showed that HIV+/Binge+ participants demonstrated steeper negative relationships between age and neurocognitive outcomes of learning, delayed recall, and motor skills compared to HIV-/Binge- participants (p's < .05). CONCLUSIONS Results showed adverse additive effects of HIV and binge drinking on neurocognitive functioning, with older adults demonstrating the most vulnerability to these effects. Findings support the need for interventions to reduce binge drinking, especially among older PWH.
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Jemberie WB, Padyab M, McCarty D, Lundgren LM. Hospital Admission Rate, Cumulative Hospitalized Days, and Time to Admission Among Older Persons With Substance Use and Psychiatric Conditions. Front Psychiatry 2022; 13:882542. [PMID: 35530023 PMCID: PMC9075517 DOI: 10.3389/fpsyt.2022.882542] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 03/28/2022] [Indexed: 11/15/2022] Open
Abstract
Background Substance use among older persons occurs with medical and psychiatric comorbidities. This study examined the associations of substance use disorder (SUD), psychiatric, and dual diagnoses with 12-month cumulative hospitalized days, hospital admission rate and number of days to first hospitalization. Methods The cohort of 3,624 individuals (28.2% women) aged 50 years or older was assessed for substance use severity in 65 Swedish municipalities during March 2003-May 2017. Addiction Severity Index data were linked to hospital discharge records and crime statistics. The outcomes were (a) 12-month cumulative hospitalized days; (b) Hospital admission rate, and (c) days to first hospitalization. Generalized linear regression techniques investigated associations between outcomes and SUD, psychiatric and dual diagnoses at admission. Results During 2003-2017, 73.5% of the participants were hospitalized. Twelve-month hospitalized days were positively associated with SUD (Incidence rate ratio (IRR) = 1.41, 95%CI: 1.26-1.58), dual diagnosis (IRR = 2.03, 95%CI: 1.74-2.36), and psychiatric diagnoses (IRR = 2.51, 95%CI: 2.09-3.01). Hospital admission rate was positively associated with SUD (IRR = 4.67, 95%CI: 4.28-5.08), dual diagnosis (IRR = 1.83, 95%CI: 1.64-2.04), and psychiatric diagnoses (IRR = 1.73, 95%CI: 1.55-1.92). Days to first hospitalization were negatively associated with SUD (IRR = 0.52, 95%CI: 0.47-0.58), dual diagnosis (IRR = 0.57, 95%CI: 0.50-0.65), and psychiatric diagnoses (IRR = 0.83, 95%CI: 0.73-0.93). The marginal effects of SUD and/or mental disorders increased with age for all outcomes, except for days to first hospitalization. Conclusion Three of four older persons assessed for substance use severity were later hospitalized. Substance use disorders, dual diagnoses and other mental disorders were the primary reasons for hospitalization and were associated with longer stays, earlier hospitalization, and repeated admissions. Sensitizing service providers to old age substance use and sharing data across the care continuum could provide multiple points of contact to reduce the risk of hospitalizations among older persons with problematic substance use.
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Affiliation(s)
- Wossenseged Birhane Jemberie
- Department of Social Work, Umeå University, Umeå, Sweden
- Centre for Demographic and Ageing Research (CEDAR), Umeå University, Umeå, Sweden
- The Swedish National Graduate School on Aging and Health (SWEAH), Faculty of Medicine, Lund University, Lund, Sweden
| | - Mojgan Padyab
- Department of Social Work, Umeå University, Umeå, Sweden
- Centre for Demographic and Ageing Research (CEDAR), Umeå University, Umeå, Sweden
| | - Dennis McCarty
- School of Public Health, Oregon Health & Science University-Portland State University, Portland, OR, United States
| | - Lena M. Lundgren
- Department of Social Work, Umeå University, Umeå, Sweden
- Cross-National Behavioral Health Laboratory, Graduate School of Social Work, University of Denver, Denver, CO, United States
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20
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Haapanen MJ, Strandberg TE, Törmäkangas T, von Bonsdorff ME, Strandberg AY, von Bonsdorff MB. Retirement as a predictor of physical functioning trajectories among older businessmen. BMC Geriatr 2022; 22:279. [PMID: 35379176 PMCID: PMC8981673 DOI: 10.1186/s12877-022-03001-x] [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: 04/19/2021] [Accepted: 03/30/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Associations between retirement characteristics and consequent physical functioning (PF) are poorly understood, particularly in higher socioeconomic groups, where postponing retirement has had both positive and negative implications for PF. METHODS Multiple assessments of PF, the first of which at the mean age of 73.3 years, were performed on 1709 men who were retired business executives and managers, using the RAND-36/SF-36 instrument, between 2000 and 2010. Questionnaire data on retirement age and type of pension was gathered in 2000. Five distinct PF trajectories were created using latent growth mixture modelling. Mortality- and covariate-adjusted multinomial regression models were used to estimate multinomial Odds Ratios (mOR) on the association between retirement characteristics and PF trajectories. RESULTS A one-year increase in retirement age was associated with decreased likelihood of being classified in the 'consistently low' (fully adjusted mOR = 0.82; 95%CI = 0.70, 0.97; P = 0.007), 'intermediate and declining' (mOR = 0.89; 95%CI = 0.83, 0.96; P = 0.002), and 'high and declining' (mOR = 0.92; 95%CI = 0.87, 0.98; P = 0.006) trajectories, relative to the 'intact' PF trajectory. Compared to old age pensioners, disability pensioners were more likely to be classified in the 'consistently low' (mOR = 23.77; 95% CI 2.13, 265.04; P = 0.010), 'intermediate and declining' (mOR = 8.24; 95%CI = 2.58, 26.35; P < 0.001), and 'high and declining' (mOR = 2.71; 95%CI = 1.17, 6.28; P = 0.020) PF trajectories, relative to the 'intact' PF trajectory. CONCLUSIONS Among executives and managers, older age at retirement was associated with better trajectories of PF in old age. Compared to old age pensioners, those transitioning into disability and early old age pensions were at risk of having consistently lower PF in old age.
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Affiliation(s)
- Markus J Haapanen
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, PO Box 20, FI-00014, Helsinki, Finland. .,Folkhälsan Research Center, Helsinki, Finland. .,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Timo E Strandberg
- Department of Medicine, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.,Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Timo Törmäkangas
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | | | - Arto Y Strandberg
- Department of Medicine, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Mikaela B von Bonsdorff
- Folkhälsan Research Center, Helsinki, Finland.,Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
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21
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Jung Y, Lyu J, Kim G. Multi-group frailty trajectories among older Koreans: Results from the Korean Longitudinal Study of Aging. Arch Gerontol Geriatr 2022; 98:104533. [DOI: 10.1016/j.archger.2021.104533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/17/2021] [Accepted: 09/19/2021] [Indexed: 11/15/2022]
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22
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Mazumder AH, Barnett J, Isometsä ET, Lindberg N, Torniainen-Holm M, Lähteenvuo M, Lahdensuo K, Kerkelä M, Ahola-Olli A, Hietala J, Kampman O, Kieseppä T, Jukuri T, Häkkinen K, Cederlöf E, Haaki W, Kajanne R, Wegelius A, Männynsalo T, Niemi-Pynttäri J, Suokas K, Lönnqvist J, Tiihonen J, Paunio T, Vainio SJ, Palotie A, Niemelä S, Suvisaari J, Veijola J. Reaction Time and Visual Memory in Connection to Hazardous Drinking Polygenic Scores in Schizophrenia, Schizoaffective Disorder and Bipolar Disorder. Brain Sci 2021; 11:brainsci11111422. [PMID: 34827421 PMCID: PMC8615595 DOI: 10.3390/brainsci11111422] [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: 09/22/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 11/29/2022] Open
Abstract
The purpose of this study was to explore the association of cognition with hazardous drinking Polygenic Scores (PGS) in 2649 schizophrenia, 558 schizoaffective disorder, and 1125 bipolar disorder patients in Finland. Hazardous drinking PGS was computed using the LDPred program. Participants performed two computerized tasks from the Cambridge Automated Neuropsychological Test Battery (CANTAB) on a tablet computer: the 5-choice serial reaction time task, or Reaction Time (RT) test, and the Paired Associative Learning (PAL) test. The association between hazardous drinking PGS and cognition was measured using four cognition variables. Log-linear regression was used in Reaction Time (RT) assessment, and logistic regression was used in PAL assessment. All analyses were conducted separately for males and females. After adjustment of age, age of onset, education, household pattern, and depressive symptoms, hazardous drinking PGS was not associated with reaction time or visual memory in male or female patients with schizophrenia, schizoaffective, and bipolar disorder.
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Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Correspondence:
| | - Jennifer Barnett
- Cambridge Cognition, University of Cambridge, Cambridge CB25 9TU, UK;
| | - Erkki Tapio Isometsä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
| | - Nina Lindberg
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
| | - Minna Torniainen-Holm
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Kaisla Lahdensuo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
| | - Ari Ahola-Olli
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Olli Kampman
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
- Department of Psychiatry, Pirkanmaa Hospital District, 33521 Tampere, Finland
| | - Tuula Kieseppä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Tuomas Jukuri
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Katja Häkkinen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Erik Cederlöf
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Willehard Haaki
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Asko Wegelius
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Teemu Männynsalo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Jussi Niemi-Pynttäri
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Kimmo Suokas
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
| | - Jouko Lönnqvist
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Department of Clinical Neuroscience, Karolinska Institute, 17177 Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, 11364 Stockholm, Sweden
| | - Tiina Paunio
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Seppo Juhani Vainio
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland;
- Northern Finland Biobank Borealis, Oulu University Hospital, 90220 Oulu, Finland
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland
- Kvantum Institute, University of Oulu, 90014 Oulu, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
- Stanley Center for Psychiatric Research, The Broad Institute of MIT (Massachusetts Institute of Technology) and Harvard, Cambridge, MA 02142, USA
- Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Solja Niemelä
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Jaana Suvisaari
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Department of Psychiatry, Oulu University Hospital, 90220 Oulu, Finland
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23
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de Vries J, Bras L, Sidorenkov G, Festen S, Steenbakkers RJHM, Langendijk JA, Witjes MJH, van der Laan BFAM, de Bock GH, Halmos GB. Association of Deficits Identified by Geriatric Assessment With Deterioration of Health-Related Quality of Life in Patients Treated for Head and Neck Cancer. JAMA Otolaryngol Head Neck Surg 2021; 147:1089-1099. [PMID: 34673914 DOI: 10.1001/jamaoto.2021.2837] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Importance Accumulation of geriatric deficits, leading to an increased frailty state, makes patients susceptible for decline in health-related quality of life (HRQOL) after treatment for head and neck cancer (HNC). Objective To assess the association of single and accumulated geriatric deficits with HRQOL decline in patients after treatment for HNC. Design, Setting, and Participants Between October 2014 and May 2016, patients at a tertiary referral center were included in the Oncological Life Study (OncoLifeS), a prospective data biobank, and followed up for 2 years. A consecutive series of 369 patients with HNC underwent geriatric assessment at baseline; a cohort of 283 patients remained eligible for analysis, and after 2 years, 189 patients remained in the study. Analysis was performed between March and November 2020. Interventions or Exposures Geriatric assessment included scoring of the Adult Comorbidity Evaluation 27, polypharmacy, Malnutrition Universal Screening Tool, Activities of Daily Living, Instrumental Activities of Daily Living (IADL), Timed Up & Go, Mini-Mental State Examination, 15-item Geriatric Depression Scale, marital status, and living situation. Main Outcomes and Measures The primary outcome measure was the Global Health Status/Quality of Life (GHS/QOL) scale of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30. Differences between patients were evaluated using linear mixed models at 3 months after treatment (main effects, β [95% CI]) and declining course per year during follow-up (interaction × time, β [95% CI]), adjusted for baseline GHS/QOL scores, and age, sex, stage, and treatment modality. Results Among the 283 patients eligible for analysis, the mean (SD) age was 68.3 (10.9) years, and 193 (68.2%) were male. Severe comorbidity (β = -7.00 [-12.43 to 1.56]), risk of malnutrition (β = -6.18 [-11.55 to -0.81]), and IADL restrictions (β = -10.48 [-16.39 to -4.57]) were associated with increased GHS/QOL decline at 3 months after treatment. Severe comorbidity (β = -4.90 [-9.70 to -0.10]), IADL restrictions (β = -5.36 [-10.50 to -0.22]), restricted mobility (β = -6.78 [-12.81 to -0.75]), signs of depression (β = -7.08 [-13.10 to -1.06]), and living with assistance or in a nursing home (β = -8.74 [-15.75 to -1.73]) were associated with further GHS/QOL decline during follow-up. Accumulation of domains with geriatric deficits was a major significant factor for GHS/QOL decline at 3 months after treatment (per deficient domain β = -3.17 [-5.04 to -1.30]) and deterioration during follow-up (per domain per year β = -2.74 [-4.28 to -1.20]). Conclusions and Relevance In this prospective cohort study, geriatric deficits were significantly associated with HRQOL decline after treatment for HNC. Therefore, geriatric assessment may aid decision-making, indicate interventions, and reduce loss of HRQOL. Trial Registration trialregister.nl Identifier: NL7839.
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Affiliation(s)
- Julius de Vries
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Linda Bras
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Grigory Sidorenkov
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Suzanne Festen
- Department of Geriatric Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Roel J H M Steenbakkers
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Johannes A Langendijk
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Max J H Witjes
- Department of Oral and Maxillofacial Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Bernard F A M van der Laan
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.,Department of Otorhinolaryngology-Head and Neck Surgery, Haaglanden Medical Center, The Hague, the Netherlands
| | - Geertruida H de Bock
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Gyorgy B Halmos
- Department of Otorhinolaryngology-Head and Neck Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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24
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Bourg P, Salottolo K, Klein J, Bar-Or D. Can a biomarker for oxidative stress and antioxidant reserves identify frailty in geriatric trauma patients? Injury 2021; 52:2908-2913. [PMID: 33573809 DOI: 10.1016/j.injury.2021.01.046] [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: 11/24/2020] [Revised: 01/28/2021] [Accepted: 01/30/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Frailty is a state of systematic physiologic decline and reduced ability to recover from illness. There are no rapid quantitative biological measures to assess frailty. The study objective was to determine whether oxidation-reduction potential (ORP) is correlated with frailty score. METHODS This prospective, observational cohort study was performed using plasma samples of geriatric trauma patients (≥65 years) admitted to a level I trauma center. Frailty was measured with the Canadian Study of Health and Aging (CSHA) Clinical Frailty Scale (7-point scale; 1 = robust health and 7 = severely frail). Plasma ORP was determined using the RedoxSYS™ system to measure static ORP (aggregate measure of oxidative stress) and capacity ORP (antioxidant reserves; log transformed). Spearman rank correlation (presented as rs) and ordinal logistic regression (presented as adjusted odds ratios, AOR) were used to examine the unadjusted and adjusted relationship between frailty score and ORP values. RESULTS There were 93 geriatric trauma patients in our study. The majority (86%) had frailty scores 1-5, 11% were moderately frail and 3% were severely frail. There was a u-shaped relationship between ORP and frailty scale that became monotonic for scores 1-5. Each increase in frailty score demonstrated significant decreases in antioxidant reserves (log cORP rs = -0.26, p = 0.02) and nonsignificant increases in oxidative stress (sORP rs = 0.17, p = 0.15). After adjustment, variables significantly associated with frailty included log cORP (e.g., fewer antioxidant reserves, AOR: 0.70), age (AOR: 1.82), injury severity score (AOR: 0.50), admission lactate ≥2.5 mMol (AOR: 4.31), and alcohol use (AOR: 0.34). CONCLUSIONS The amount of antioxidant reserves (cORP) appears to be a quantitative marker to differentiate the degree of frailty ranging from robust health to mild frailty in geriatric trauma patients. We propose that direct quantification of frailty by way of a biomarker for oxidative reserves could have application in emergent trauma situations.
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Affiliation(s)
| | | | | | - David Bar-Or
- Trauma Research Department, St Anthony Hospital, Lakewood, CO; Rocky Vista University, Parker, CO.
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Mazumder AH, Barnett J, Isometsä ET, Lindberg N, Torniainen-Holm M, Lähteenvuo M, Lahdensuo K, Kerkelä M, Ahola-Olli A, Hietala J, Kampman O, Kieseppä T, Jukuri T, Häkkinen K, Cederlöf E, Haaki W, Kajanne R, Wegelius A, Männynsalo T, Niemi-Pynttäri J, Suokas K, Lönnqvist J, Tiihonen J, Paunio T, Vainio SJ, Palotie A, Niemelä S, Suvisaari J, Veijola J. Reaction Time and Visual Memory in Connection to Alcohol Use in Persons with Bipolar Disorder. Brain Sci 2021; 11:brainsci11091154. [PMID: 34573174 PMCID: PMC8467646 DOI: 10.3390/brainsci11091154] [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: 06/15/2021] [Revised: 08/23/2021] [Accepted: 08/27/2021] [Indexed: 11/17/2022] Open
Abstract
The purpose of this study was to explore the association of cognition with hazardous drinking and alcohol-related disorder in persons with bipolar disorder (BD). The study population included 1268 persons from Finland with bipolar disorder. Alcohol use was assessed through hazardous drinking and alcohol-related disorder including alcohol use disorder (AUD). Hazardous drinking was screened with the Alcohol Use Disorders Identification Test for Consumption (AUDIT-C) screening tool. Alcohol-related disorder diagnoses were obtained from the national registrar data. Participants performed two computerized tasks from the Cambridge Automated Neuropsychological Test Battery (CANTAB) on A tablet computer: the 5-choice serial reaction time task, or reaction time (RT) test and the Paired Associative Learning (PAL) test. Depressive symptoms were assessed with the Mental Health Inventory with five items (MHI-5). However, no assessment of current manic symptoms was available. Association between RT-test and alcohol use was analyzed with log-linear regression, and eβ with 95% confidence intervals (CI) are reported. PAL first trial memory score was analyzed with linear regression, and β with 95% CI are reported. PAL total errors adjusted was analyzed with logistic regression and odds ratios (OR) with 95% CI are reported. After adjustment of age, education, housing status and depression, hazardous drinking was associated with lower median and less variable RT in females while AUD was associated with a poorer PAL test performance in terms of the total errors adjusted scores in females. Our findings of positive associations between alcohol use and cognition in persons with bipolar disorder are difficult to explain because of the methodological flaw of not being able to separately assess only participants in euthymic phase.
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Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Correspondence:
| | - Jennifer Barnett
- Cambridge Cognition, University of Cambridge, Cambridge CB25 9TU, UK;
| | - Erkki Tapio Isometsä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland;
| | - Nina Lindberg
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
| | - Minna Torniainen-Holm
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Kaisla Lahdensuo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
| | - Ari Ahola-Olli
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Olli Kampman
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
- Department of Psychiatry, Pirkanmaa Hospital District, 33521 Tampere, Finland
| | - Tuula Kieseppä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Tuomas Jukuri
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Katja Häkkinen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Erik Cederlöf
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
| | - Willehard Haaki
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Asko Wegelius
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Teemu Männynsalo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Jussi Niemi-Pynttäri
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Kimmo Suokas
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
| | - Jouko Lönnqvist
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland;
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Department of Clinical Neuroscience, Karolinska Institute, 17177 Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, 11364 Stockholm, Sweden
| | - Tiina Paunio
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Seppo Juhani Vainio
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland;
- Northern Finland Biobank Borealis, Oulu University Hospital, 90220 Oulu, Finland
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland
- Kvantum Institute, University of Oulu, 90014 Oulu, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
- Stanley Center for Psychiatric Research, The Broad Institute of MIT (Massachusetts Institute of Technology) and Harvard, Cambridge, MA 02142, USA
- Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Solja Niemelä
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Jaana Suvisaari
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Department of Psychiatry, Oulu University Hospital, 90220 Oulu, Finland
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Rogers NT, Blodgett JM, Searle SD, Cooper R, Davis DHJ, Pinto Pereira SM. Early-Life Socioeconomic Position and the Accumulation of Health-Related Deficits by Midlife in the 1958 British Birth Cohort Study. Am J Epidemiol 2021; 190:1550-1560. [PMID: 33595066 PMCID: PMC8327203 DOI: 10.1093/aje/kwab038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 02/10/2021] [Accepted: 02/10/2021] [Indexed: 12/23/2022] Open
Abstract
Reducing population levels of frailty is an important goal, and preventing its development in midadulthood could be pivotal. There is limited evidence on associations between childhood socioeconomic position (SEP) and frailty. Using data on the 1958 British birth cohort (followed from 1958 to 2016; n = 8,711), we aimed to 1) establish the utility of measuring frailty in midlife, by examining associations between a 34-item frailty index at age 50 years (FI50y) and mortality at ages 50–58 years, and 2) examine associations between early-life SEP and FI50y and investigate whether these associations were explained by adult SEP. Hazard ratios for mortality increased with increasing frailty; for example, the sex-adjusted hazard ratio for the highest quintile of FI50y versus the lowest was 4.07 (95% confidence interval (CI): 2.64, 6.25). Lower early-life SEP was associated with higher FI50y. Compared with participants born in the highest social class, the estimated total effect on FI50y was 42.0% (95% CI: 35.5, 48.4) for participants born in the lowest class, with the proportion mediated by adult SEP being 0.45% (95% CI: 0.35, 0.55). Mediation by adult SEP was negligible for other early-life SEP classes. Findings suggest that early-life SEP is associated with frailty and that adult SEP only partially explains this association. Results highlight the importance of improving socioeconomic circumstances across the life course to reduce inequalities in midlife frailty.
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Affiliation(s)
| | | | | | | | | | - Snehal M Pinto Pereira
- Correspondence to Dr. Snehal Pinto Pereira, Institute of Sport, Exercise and Health, Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, Gower Street, London WC1E 6BT, United Kingdom (e-mail: )
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27
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Mazumder AH, Barnett J, Lindberg N, Torniainen-Holm M, Lähteenvuo M, Lahdensuo K, Kerkelä M, Hietala J, Isometsä ET, Kampman O, Kieseppä T, Jukuri T, Häkkinen K, Cederlöf E, Haaki W, Kajanne R, Wegelius A, Männynsalo T, Niemi-Pynttäri J, Suokas K, Lönnqvist J, Niemelä S, Tiihonen J, Paunio T, Palotie A, Suvisaari J, Veijola J. Reaction Time and Visual Memory in Connection with Alcohol Use in Schizophrenia and Schizoaffective Disorder. Brain Sci 2021; 11:brainsci11060688. [PMID: 34071123 PMCID: PMC8224767 DOI: 10.3390/brainsci11060688] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/17/2021] [Accepted: 05/21/2021] [Indexed: 11/16/2022] Open
Abstract
The purpose of this study was to explore the association between cognition and hazardous drinking and alcohol use disorder in schizophrenia and schizoaffective disorder. Cognition is more or less compromised in schizophrenia, and schizoaffective disorder and alcohol use might aggravate this phenomenon. The study population included 3362 individuals from Finland with diagnoses of schizophrenia or schizoaffective disorder. Hazardous drinking was screened with the AUDIT-C (Alcohol Use Disorders Identification Test for Consumption) screening tool. Alcohol use disorder (AUD) diagnoses were obtained from national registrar data. Participants performed two computerized tasks from the Cambridge Automated Neuropsychological Test Battery (CANTAB) on a tablet computer: The Five-Choice Serial Reaction Time Task (5-CSRTT) or the reaction time (RT) test and the Paired Associative Learning (PAL) test. The association between alcohol use and the RT and PAL tests was analyzed with log-linear regression and logistic regression, respectively. After adjustment for age, education, housing status, and the age at which the respondents had their first psychotic episodes, hazardous drinking was associated with a lower median RT in females and less variable RT in males, while AUD was associated with a poorer PAL test performance in terms of the total errors adjusted scores (TEASs) in females. Our findings of positive associations between alcohol and cognition in schizophrenia and schizoaffective disorder are unique.
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Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Correspondence: or
| | - Jennifer Barnett
- Cambridge Cognition, University of Cambridge, Cambridge CB25 9TU, UK;
| | - Nina Lindberg
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
| | - Minna Torniainen-Holm
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Kaisla Lahdensuo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Martta Kerkelä
- Department of Psychiatry, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Erkki Tapio Isometsä
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
| | - Olli Kampman
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
- Department of Psychiatry, Pirkanmaa Hospital District, 33521 Tampere, Finland
| | - Tuula Kieseppä
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Tuomas Jukuri
- Department of Psychiatry, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Katja Häkkinen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Erik Cederlöf
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Willehard Haaki
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Asko Wegelius
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Teemu Männynsalo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Jussi Niemi-Pynttäri
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Kimmo Suokas
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
| | - Jouko Lönnqvist
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Solja Niemelä
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Department of Clinical Neuroscience, Karolinska Institute, 17177 Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, 11364 Stockholm, Sweden
| | - Tiina Paunio
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
- Stanley Center for Psychiatric Research, The Broad Institute of MIT (Massachusetts Institute of Technology) and Harvard, Cambridge, MA 02142, USA
- Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jaana Suvisaari
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Juha Veijola
- Department of Psychiatry, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Department of Psychiatry, Oulu University Hospital, 90220 Oulu, Finland
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Xu X, Inglis SC, Parker D. Sex differences in dietary consumption and its association with frailty among middle-aged and older Australians: a 10-year longitudinal survey. BMC Geriatr 2021; 21:217. [PMID: 33789566 PMCID: PMC8011098 DOI: 10.1186/s12877-021-02165-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 03/15/2021] [Indexed: 01/26/2023] Open
Abstract
Background Nutritional status has been considered as a key factor in preventing the development of the frailty syndrome. However, sex-specific dietary consumption transition over time and how it impacts of frailty status are unclear. Method We assessed 113,039 adults (aged 50 years and over) from the 45 and Up Study who had completed both baseline (2006–2009) and follow-up (2012–2015) surveys. Dietary consumption was assessed by a short food frequency questionnaire. Frailty was identified by the FRAIL scale. Multinomial regression models were used to examine the association between a long-term dietary consumption and frailty, stratified by sex. Results Of a total of 113,039 participants, females had a higher percentage of pre-frailty and frailty than males (pre-frailty: 35.5% for female and 30.1% for male; frailty: 4.86% for female and 3.56% for male). As age increased, males had significant decreases in overall dietary risk scores, while females had significant increases in overall dietary risk scores. Males and females with a long-term consumption of adequate fruits, high grains or had a variety of foods were related to a low risk of frailty. Females with a long-term consumption of adequate vegetables or high lean meats and poultry were related to a low risk of frailty. Females with an unhealthy diet at both surveys [Relative Risk Ratio (RRR) = 1.32, 95% CI: 1.18; 1.49], and those with unhealthy diet at either surveys (RRR = 1.28, 95% CI: 1.12; 1.47, RRR = 1.19, 95% CI: 1.04; 1.37) had a higher risk of frailty compared to those had a long-term healthy diet. No association were found between overall dietary risk and frailty for males. Conclusion Males and females changed their dietary consumption as they age. These changes affect its association with frailty, particularly for females. Sex-specific dietary advice in prevention of frailty needs to be further developed. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02165-2.
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Affiliation(s)
- Xiaoyue Xu
- School of Population Health, University of New South Wales, Sydney, New South Wales, Australia. .,The George Institute for Global Health, Sydney, New South Wales, Australia. .,Improving Palliative, Aged and Chronic Care through Clinical Research and Translation Research Centre, Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia.
| | - Sally C Inglis
- Improving Palliative, Aged and Chronic Care through Clinical Research and Translation Research Centre, Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Deborah Parker
- Improving Palliative, Aged and Chronic Care through Clinical Research and Translation Research Centre, Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
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Jazbar J, Locatelli I, Kos M. The association between medication or alcohol use and the incidence of frailty: a retrospective cohort study. BMC Geriatr 2021; 21:25. [PMID: 33413145 PMCID: PMC7791729 DOI: 10.1186/s12877-020-01969-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/16/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Understanding potentially modifiable factors that influence the risk of frailty is a key concern for the management of this urgent contemporary public health challenge. This study evaluates the association between the use of various medications or alcohol and the incidence of frailty among older adults. METHODS This study was a retrospective cohort study on older adults (≥ 65 years) using data from the longitudinal Survey of Health, Ageing and Retirement in Europe (SHARE survey, 28 countries). Medication use was measured as taking several different groups of medications. Alcohol use was assessed with SHARE questions corresponding to AUDIT-C. The outcome measure was the incidence of frailty after two years, defined by frailty index (FI) and frailty phenotype (FP). A multiple logistic regression model was used to evaluate the association with adjustment for several potential confounding factors. RESULTS Of the 14,665 FI-population participants, 1800 (12.3%) developed frailty within two years. Of the 8133 FP-population participants, 2798 (34.4%) developed pre-frailty and 247 (3.0%) developed frailty within two years of baseline. After adjustment for potential confounding variables, non-hazardous alcohol use (adjusted OR; 95% CI for the FI-population: 0.68; 0.60-0.77) and hazardous alcohol use (0.80; 0.68-0.93) are associated with lower incidence of frailty compared to no alcohol use. The odds of frailty are increased when taking medications; the largest effect size was observed in older adults taking medication for chronic bronchitis (adjusted OR; 95% CI for the FI-population: 2.45; 1.87-3.22), joint pain and other pain medication (2.26; 2.00-2.54), medication for coronary and other heart disease (1.72; 1.52-1.96), medication for diabetes (1.69; 1.46-1.96), and medication for anxiety, depression and sleep problems (1.56; 1.33-1.84). Additionally, the risk of frailty was increased with stroke, Parkinson's disease and dementia. CONCLUSIONS Taking certain groups of medication was associated with increased incidence of frailty and pre-frailty, which might be due to either medication use or the underlying disease. Alcohol use was associated with a lower risk of pre-frailty and frailty compared to no alcohol use, which might be due to reverse causality or residual confounding. There was no significant interaction effect between medication groups and alcohol use on frailty incidence.
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Affiliation(s)
- Janja Jazbar
- University of Ljubljana, Faculty of Pharmacy, Askerceva cesta 7, 1000, Ljubljana, Slovenia
| | - Igor Locatelli
- University of Ljubljana, Faculty of Pharmacy, Askerceva cesta 7, 1000, Ljubljana, Slovenia
| | - Mitja Kos
- University of Ljubljana, Faculty of Pharmacy, Askerceva cesta 7, 1000, Ljubljana, Slovenia.
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30
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Haapanen MJ, von Bonsdorff MB, Perttilä NM, Törmäkangas T, von Bonsdorff ME, Strandberg AY, Strandberg TE. Retirement age and type as predictors of frailty: a retrospective cohort study of older businessmen. BMJ Open 2020; 10:e037722. [PMID: 33334827 PMCID: PMC7747567 DOI: 10.1136/bmjopen-2020-037722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES To study the association between retirement characteristics and frailty in a homogenous population of former business executives. DESIGN Cross-sectional cohort study using data from the Helsinki Businessmen Study. SETTING Helsinki, Finland. PARTICIPANTS 1324 Caucasian men, born in 1919-1934, who had worked as business executives and managers and of whom 95.9% had retired by the year 2000. Questions on age at and type of retirement, lifestyle and chronic conditions were embedded in questionnaires. PRIMARY AND SECONDARY OUTCOME MEASURES Frailty assessed according to a modified phenotype definition at mean age 73.3 years. RESULTS Mean age at retirement was 61.3 years (SD 4.3) and 37.1% had retired due to old age. The prevalence of frailty was lowest among men retiring at ages 66-67 years but increased among those who worked up to age 70 years or older. Compared with men who retired before age 55 years, those retiring at ages 58-69 years were at decreased risk of frailty in old age relative to non-frailty (adjusted ORs 0.07-0.29, p<0.05). Compared with men who transitioned into old age retirement, those who retired due to disability were at increased risk of prefrailty (adjusted OR 1.53, 95% CI 1.01 to 2.32) and frailty (adjusted OR 3.52, 95% CI 1.97 to 6.29), relative to non-frailty. CONCLUSION Exiting working life early and continuing to be occupationally active until age 70 years and older were both associated with increased risk of frailty among the men. Promotion of longer work careers could, however, promote healthier ageing, as the lowest prevalence of frailty was observed in former business executives who retired at ages 66-67 years.
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Affiliation(s)
- Markus J Haapanen
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Centre, Helsinki, Finland
| | - Mikaela B von Bonsdorff
- Folkhälsan Research Centre, Helsinki, Finland
- Department of Health Sciences, Gerontology Research Centre, University of Jyväskylä Faculty of Sport and Health Sciences, Jyvaskyla, Finland
| | - Niko M Perttilä
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Timo Törmäkangas
- Department of Health Sciences, Gerontology Research Centre, University of Jyväskylä Faculty of Sport and Health Sciences, Jyvaskyla, Finland
| | - Monika E von Bonsdorff
- School of Business and Kokkola University Consorium Chydenius, University of Vaasa, Vaasa, Finland
- Department of Management and Leadership, Jyväskylä University School of Business and Economics, Jyväskylä, Finland
| | - Arto Y Strandberg
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Timo E Strandberg
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
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Zhang S, Stubbs B, Das-Munshi J. Complex mental health needs in older people living with frailty. Br J Hosp Med (Lond) 2020; 81:1-11. [PMID: 33377829 DOI: 10.12968/hmed.2020.0476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Frailty describes a state of health whereby people develop multiple or cumulative deficits in physiological systems over the life course, leading to vulnerability and being less able to respond to acute and/or physiological stressors, which at times may be relatively minor. Mental health should be an important consideration in the assessment and management of frailty in older people. This article provides an overview and clinical perspective on the evidence relating to frailty and mental health assessment and management.
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Affiliation(s)
- Shuo Zhang
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London/South London & Maudsley NHS Trust, London, UK
| | - Brendon Stubbs
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London/South London & Maudsley NHS Trust, London, UK
| | - Jayati Das-Munshi
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neurosciences, King's College London/South London & Maudsley NHS Trust, London, UK
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Frailty is associated with decline in health-related quality of life of patients treated for head and neck cancer. Oral Oncol 2020; 111:105020. [DOI: 10.1016/j.oraloncology.2020.105020] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 09/12/2020] [Accepted: 09/17/2020] [Indexed: 02/06/2023]
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Longitudinal dimensions of alcohol consumption and dietary intake in the Framingham Heart Study Offspring Cohort (1971-2008). Br J Nutr 2020; 125:685-694. [PMID: 32900412 DOI: 10.1017/s0007114520002676] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Existing studies addressing alcohol consumption have not captured the multidimensionality of drinking patterns, including drinking frequency, binge drinking, beverage preference and changes in these measures across the adult life course. We examined longitudinal trends in drinking patterns and their association with diet over four decades in ageing US adults from the Framingham Offspring Study (n 4956; baseline mean age 36·2 years). Alcohol intake (drinks/week, drinking frequency, beverage-specific consumption, drinks/occasion) was assessed quadrennially from examinations 1 to 8. Participants were classified as binge drinkers, moderate drinkers or heavy drinkers (4+ and 5+ drinks/occasion; ≤1 and ≤2 drinks/d and >7 and >14 drinks/week for women and men, respectively). Dietary data were collected by a FFQ from examinations 5 to 8 (1991-2008). We evaluated trends in drinking patterns using linear mixed effect models and compared dietary intake across drinking patterns using heterogeneous variance models. Alcohol consumption decreased from 1971 to 2008 (3·7 v. 2·2 oz/week; P < 0·05). The proportion of moderate (66 v. 59·3 %), heavy (18·4 v. 10·5 %) and binge drinkers (40·0 v. 12·3 %) declined (P < 0·05). While average wine consumption increased (1·4 v. 2·2 drinks/week), beer (3·4 v. 1·5 drinks/week) and cocktail intake (2·8 v. 1·2 drinks/week) decreased. Non-binge drinkers consumed less sugary drinks and more whole grains than binge drinkers, and the latter consumed more total fat across all examinations (P < 0·05). There was a significant difference in consumption trends of total grains by drinking level (P < 0·05). In conclusion, alcohol drinking patterns are unstable throughout adulthood. Higher intakes were generally associated with poorer diets. These analyses support the nuanced characterisation of alcohol consumption in epidemiological studies.
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Tyrovolas S, Panaretos D, Daskalopoulou C, Gine-Vazquez I, Niubo AS, Olaya B, Bobak M, Prince M, Prina M, Ayuso-Mateos JL, Caballero FF, Garcia-Esquinas E, Holger A, Scherbov S, Sanderson W, Gheno I, Koupil I, Bickenbach J, Chatterji S, Koskinen S, Raggi A, Pajak A, Tobiasz-Adamczyk B, Haro JM, Panagiotakos D. Alcohol Drinking and Health in Ageing: A Global Scale Analysis of Older Individual Data through the Harmonised Dataset of ATHLOS. Nutrients 2020; 12:E1746. [PMID: 32545243 PMCID: PMC7353331 DOI: 10.3390/nu12061746] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 06/04/2020] [Accepted: 06/07/2020] [Indexed: 11/26/2022] Open
Abstract
We investigated the relation between alcohol drinking and healthy ageing by means of a validated health status metric, using individual data from the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project. For the purposes of this study, the ATHLOS harmonised dataset, which includes information from individuals aged 65+ in 38 countries, was analysed (n = 135,440). Alcohol drinking was reflected by means of three harmonised variables: alcohol drinking frequency, current and past alcohol drinker. A set of 41 self-reported health items and measured tests were used to generate a specific health metric. In the harmonised dataset, the prevalence of current drinking was 47.5% while of past drinking was 26.5%. In the pooled sample, current alcohol drinking was positively associated with better health status among older adults ((b-coef (95% CI): 1.32(0.45 to 2.19)) and past alcohol drinking was inversely related (b-coef (95% CI): -0.83 (-1.51 to -0.16)) with health status. Often alcohol consumption appeared to be beneficial only for females in all super-regions except Africa, both age group categories (65-80 years old and 80+), both age group categories, as well as among all the financial status categories (all p < 0.05). Regional analysis pictured diverse patterns in the association for current and past alcohol drinkers. Our results report the need for specific alcohol intake recommendations among older adults that will help them maintain a better health status throughout the ageing process.
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Affiliation(s)
- Stefanos Tyrovolas
- Parc Sanitari Sant Joan de Déu, Fundacion Sant Joan de Deu, 42, 08830 Sant Boi de Llobregat, Spain; (I.G.-V.); (A.S.N.); (B.O.); (J.M.H.)
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3–5, Pabellón 11, 28029 Madrid, Spain;
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 Eleftheriou Venizelou Ave, Attica, 176 61 Athens, Greece; (D.P.); (D.P.)
| | - Dimitris Panaretos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 Eleftheriou Venizelou Ave, Attica, 176 61 Athens, Greece; (D.P.); (D.P.)
| | - Christina Daskalopoulou
- Psychology and Neuroscience, Department of Health Service and Population Research, Institute of Psychiatry, King’s College London, London WC1E 6BT, UK; (C.D.); (M.P.); (M.P.)
| | - Iago Gine-Vazquez
- Parc Sanitari Sant Joan de Déu, Fundacion Sant Joan de Deu, 42, 08830 Sant Boi de Llobregat, Spain; (I.G.-V.); (A.S.N.); (B.O.); (J.M.H.)
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3–5, Pabellón 11, 28029 Madrid, Spain;
| | - Albert Sanchez Niubo
- Parc Sanitari Sant Joan de Déu, Fundacion Sant Joan de Deu, 42, 08830 Sant Boi de Llobregat, Spain; (I.G.-V.); (A.S.N.); (B.O.); (J.M.H.)
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3–5, Pabellón 11, 28029 Madrid, Spain;
| | - Beatriz Olaya
- Parc Sanitari Sant Joan de Déu, Fundacion Sant Joan de Deu, 42, 08830 Sant Boi de Llobregat, Spain; (I.G.-V.); (A.S.N.); (B.O.); (J.M.H.)
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3–5, Pabellón 11, 28029 Madrid, Spain;
| | - Martin Bobak
- Research Department of Epidemiology and Public Health, University College London, 1–19 Torrington Place, London WC1E 7HB, UK;
| | - Martin Prince
- Psychology and Neuroscience, Department of Health Service and Population Research, Institute of Psychiatry, King’s College London, London WC1E 6BT, UK; (C.D.); (M.P.); (M.P.)
| | - Matthew Prina
- Psychology and Neuroscience, Department of Health Service and Population Research, Institute of Psychiatry, King’s College London, London WC1E 6BT, UK; (C.D.); (M.P.); (M.P.)
| | - Jose Luis Ayuso-Mateos
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3–5, Pabellón 11, 28029 Madrid, Spain;
- Department of Psychiatry, Universidad Autónoma de Madrid, 28049 Madrid, Spain
- Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS Princesa), 28006 Madrid, Spain
| | - Francisco Felix Caballero
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049 Madrid, Spain; (F.F.C.); (E.G.-E.)
- CIBER of Epidemiology and Public Health-CIBERESP, 28029 Madrid, Spain
| | - Esther Garcia-Esquinas
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28049 Madrid, Spain; (F.F.C.); (E.G.-E.)
- CIBER of Epidemiology and Public Health-CIBERESP, 28029 Madrid, Spain
| | - Arndt Holger
- SPRING TECHNO GMBH & Co. KG, 28199 Bremen, Germany;
| | - Sergei Scherbov
- World Population Program, International Institute for Applied Systems Analysis, Wittgenstein Centre for Demography and Global Human Capital, 2361 Laxenburg, Austria; (S.S.); (W.S.)
- Vienna Institute of Demography, Austrian Academy of Science, 1030 Vienna, Austria
- International Laboratory for Demography and Human Capital, Russian Presidential Academy of National Economy and Public Administration (RANEPA), 119571 Moscow, Russia
| | - Warren Sanderson
- World Population Program, International Institute for Applied Systems Analysis, Wittgenstein Centre for Demography and Global Human Capital, 2361 Laxenburg, Austria; (S.S.); (W.S.)
- Department of Economics, Stony Brook University, Stony Brook, NY 11794, USA
| | | | - Ilona Koupil
- Department of Public Health Sciences, Centre for Health Equity Studies, Stockholm University, 114 19 Stockholm, Sweden;
- Department of Global Public Health, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Jerome Bickenbach
- Department of Health Sciences and Health Policy, University of Lucerne, 6002 Lucerne, Switzerland;
- Swiss Paraplegic Research, 6207 Nottwil, Switzerland
| | - Somnath Chatterji
- Information, Evidence and Research, World Health Organization, 1202 Geneva, Switzerland;
| | - Seppo Koskinen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare (THL), P.O. Box 30, FI-00271 Helsinki, Finland;
| | - Alberto Raggi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy;
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Faculty of Health Sciences, Jagiellonian University Medical College, 31-008 Krakow, Poland;
| | - Beata Tobiasz-Adamczyk
- Department of Medical Sociology, Department of Epidemiology, Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, 31-008 Krakow, Poland;
| | - Josep Maria Haro
- Parc Sanitari Sant Joan de Déu, Fundacion Sant Joan de Deu, 42, 08830 Sant Boi de Llobregat, Spain; (I.G.-V.); (A.S.N.); (B.O.); (J.M.H.)
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3–5, Pabellón 11, 28029 Madrid, Spain;
| | - Demosthenes Panagiotakos
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 Eleftheriou Venizelou Ave, Attica, 176 61 Athens, Greece; (D.P.); (D.P.)
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Contador I, Mograbi DC, Fernández-Calvo B, Benito-León J, Bermejo-Pareja F. Comparison of mortality rate in older adults with and without functional awareness: the Neurological Disorders in Central Spain (NEDICES) population-based study. Public Health 2020; 183:146-152. [PMID: 32502701 DOI: 10.1016/j.puhe.2020.03.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 03/30/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVES The main aim of the study was to compare the rates of mortality in older adults with and without functional unawareness (FU). We also tested a possible interaction effect between levels of awareness and education, as a single cognitive reserve proxy, on mortality. STUDY DESIGN The study design is a longitudinal population-based cohort study. METHODS The Neurological Disorders in Central Spain is epidemiological study to detect main age-associated conditions in people aged 65 years and older. Participants were collected from updated population-based registers of residents in three areas of central Spain. Awareness of functional limitations was established in accordance with the discrepancy between two sources of information on functional impairments: reliable informants versus the participants themselves. Three mutually exclusive groups were formed, namely, Functional Limitation Complaints (FCs), FU, and Functional Awareness (FA). Cox's regression models, adjusted by different covariates, were used to calculate the risk of mortality for each group at 5-year follow-up (vs. reference group without limitations). RESULTS Of 1818 selected individuals, 229 (12.5%) showed FA, 254 (13.9%) showed FC, and 96 (5%) were classified as FU. All these groups showed an increased risk of mortality at 5-year follow-up [adjusted hazard ratio (HR) for FC < FU < FA]. However, the association of FU with mortality remained significant only for highly educated individuals. CONCLUSIONS Functional impairment was associated with increased mortality rates, regardless of the presence of unawareness. This study extends the role of education in modulating the symptoms and prognosis of individuals at very mild or preclinical dementia stages.
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Affiliation(s)
- I Contador
- Department of Basic Psychology, Psychobiology and Methodology of Behavioral Science, Faculty of Psychology, University of Salamanca, Spain.
| | - D C Mograbi
- Department of Psychology, Pontifical Catholic University of Rio de Janeiro, Brazil; Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience. King's College London, UK
| | - B Fernández-Calvo
- Department of Psychology, Faculty of Educational Sciences, University of Córdoba, Spain
| | - J Benito-León
- Research Institute (Imas12), University Hospital "12 de Octubre", Madrid, Spain
| | - F Bermejo-Pareja
- Research Institute (Imas12), University Hospital "12 de Octubre", Madrid, Spain; Faculty of Medicine, Complutense University, Madrid, Spain
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Shin J, Kim KJ, Choi J. Smoking, alcohol intake, and frailty in older Korean adult men: cross-sectional study with nationwide data. Eur Geriatr Med 2020; 11:269-277. [PMID: 32297188 DOI: 10.1007/s41999-019-00271-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 11/19/2019] [Indexed: 12/26/2022]
Abstract
PURPOSE Smoking and alcohol intake are major causes of negative health outcomes and may be co-inherited traits. However, little is known about the association of frailty with smoking and alcohol intake in older adults. METHODS Community-dwelling older men (N = 1426) aged 70-84 years were divided into four groups: 1) non-smoking (< 100 cigarettes in life-time) and non-alcohol intake (< one time/month); 2) smoking (≥ 100 cigarettes) and alcohol intake (≥ one time/month); 3) non-smoking with alcohol intake; and 4) smoking and no alcohol intake. Frailty was assessed with a modified version of the Cardiovascular Health Study (CHS) frailty index, the Korean version of the Fatigue, Resistance, Ambulation, Illness, and Loss of Weight (KFRAIL) index, the Korean Frailty Index (KFI), and the Study of Osteoporotic Fracture (SOF) frailty index. Frailty risks were estimated with multiple logistic regression models after adjusting for age, income, education, residence, marital status, hospitalization, physical activity, comorbidities, and levels of vitamin B12, aspartate aminotransferase, and gamma-glutamyl transferase. RESULTS Frailty differed according to smoking and alcohol status. Frailty in the smoking and non-alcohol-intake group was significantly higher according to the CHS frailty index (Odds ratio = 1.592; 95% confidence interval [CI] 1.032-2.455), KFRAIL (CI 1.613, 1.037-2.509), and KFI (CI 1.869, 1.115-3.131) compared with the non-smoking and alcohol-intake group. However, there was no increased frailty risk in the other study groups. CONCLUSION Frailty prevalence differed depending on smoking status and alcohol intake in older Korean men. Therefore, we should adopt a comprehensive approach to understanding frailty in older adults that considers both smoking and alcohol intake.
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Affiliation(s)
- Jinyoung Shin
- Department of Family Medicine, Research Institute on Healthy Aging, Konkuk University School of Medicine, Konkuk University Medical Center, 120-1 Neungdong-ro, Gwangjin-gu, Seoul, 05030, South Korea
| | - Kyoung Jin Kim
- Department of Family Medicine, Research Institute on Healthy Aging, Konkuk University School of Medicine, Konkuk University Medical Center, 120-1 Neungdong-ro, Gwangjin-gu, Seoul, 05030, South Korea
| | - Jaekyung Choi
- Department of Family Medicine, Research Institute on Healthy Aging, Konkuk University School of Medicine, Konkuk University Medical Center, 120-1 Neungdong-ro, Gwangjin-gu, Seoul, 05030, South Korea.
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Abstract
BACKGROUND The average lifespan of persons living with HIV (PLWH) on antiretroviral therapy approximates the general population. However, PLWH are susceptible to early aging and frailty. Behaviors such as alcohol consumption may contribute to frailty among PLWH. OBJECTIVE To determine the relationships between recent and lifetime alcohol use and frailty among PLWH. DESIGN Cross-sectional, prospective cohort study of in-care PLWH (n = 365) participating in the New Orleans Alcohol Use in HIV Study. METHODS Recent alcohol exposure was measured by the 30-day alcohol timeline follow-back (TLFB) assessment and by whole-blood-spot phosphatidylethanol (PEth) quantitation. Lifetime alcohol exposure (LAE) was estimated by a modified lifetime drinking history instrument. Frailty was assessed by a 58-item deficit index (DI58) and the phenotypic frailty index (PFI). The Veterans Aging Cohort Study Risk Index 2.0 was calculated. RESULTS Using generalized linear regression, LAE was positively associated with the DI58 (95% CI 0.001--0.006) and PFI severity (95% CI 0.004--0.023) after adjustment for age and other factors. Conversely, recent alcohol exposure was negatively associated with the DI58 [TLFB 95% CI: (-0.126 to -0.034), PEth: (-0.163 to -0.058)] and PFI severity [TLFB 95% CI (-0.404 to -0.015), PEth (-0.406 to 0.034)]. The VACS was not associated with alcohol use. Median per-decade alcohol exposure peaked in the second decade and tapered with aging thereafter. Increasing LAE and decreasing TLFB were co-associated with a specific subset of health deficits. CONCLUSION Lifetime alcohol use is positively associated with frailty among PLWH. Specific health deficits may discourage alcohol consumption in some PLWH.
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Dent E, Morley JE, Cruz-Jentoft AJ, Woodhouse L, Rodríguez-Mañas L, Fried LP, Woo J, Aprahamian I, Sanford A, Lundy J, Landi F, Beilby J, Martin FC, Bauer JM, Ferrucci L, Merchant RA, Dong B, Arai H, Hoogendijk EO, Won CW, Abbatecola A, Cederholm T, Strandberg T, Gutiérrez Robledo LM, Flicker L, Bhasin S, Aubertin-Leheudre M, Bischoff-Ferrari HA, Guralnik JM, Muscedere J, Pahor M, Ruiz J, Negm AM, Reginster JY, Waters DL, Vellas B. Physical Frailty: ICFSR International Clinical Practice Guidelines for Identification and Management. J Nutr Health Aging 2019; 23:771-787. [PMID: 31641726 PMCID: PMC6800406 DOI: 10.1007/s12603-019-1273-z] [Citation(s) in RCA: 430] [Impact Index Per Article: 86.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 08/02/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The task force of the International Conference of Frailty and Sarcopenia Research (ICFSR) developed these clinical practice guidelines to overview the current evidence-base and to provide recommendations for the identification and management of frailty in older adults. METHODS These recommendations were formed using the GRADE approach, which ranked the strength and certainty (quality) of the supporting evidence behind each recommendation. Where the evidence-base was limited or of low quality, Consensus Based Recommendations (CBRs) were formulated. The recommendations focus on the clinical and practical aspects of care for older people with frailty, and promote person-centred care. Recommendations for Screening and Assessment: The task force recommends that health practitioners case identify/screen all older adults for frailty using a validated instrument suitable for the specific setting or context (strong recommendation). Ideally, the screening instrument should exclude disability as part of the screening process. For individuals screened as positive for frailty, a more comprehensive clinical assessment should be performed to identify signs and underlying mechanisms of frailty (strong recommendation). Recommendations for Management: A comprehensive care plan for frailty should address polypharmacy (whether rational or nonrational), the management of sarcopenia, the treatable causes of weight loss, and the causes of exhaustion (depression, anaemia, hypotension, hypothyroidism, and B12 deficiency) (strong recommendation). All persons with frailty should receive social support as needed to address unmet needs and encourage adherence to a comprehensive care plan (strong recommendation). First-line therapy for the management of frailty should include a multi-component physical activity programme with a resistance-based training component (strong recommendation). Protein/caloric supplementation is recommended when weight loss or undernutrition are present (conditional recommendation). No recommendation was given for systematic additional therapies such as cognitive therapy, problem-solving therapy, vitamin D supplementation, and hormone-based treatment. Pharmacological treatment as presently available is not recommended therapy for the treatment of frailty.
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Affiliation(s)
- E Dent
- E. Dent, Torrens University Australia, Adelaide, Australia,
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Kojima G, Jivraj S, Iliffe S, Falcaro M, Liljas A, Walters K. Alcohol Consumption and Risk of Incident Frailty: The English Longitudinal Study of Aging. J Am Med Dir Assoc 2018; 20:725-729. [PMID: 30503591 DOI: 10.1016/j.jamda.2018.10.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Revised: 09/27/2018] [Accepted: 10/01/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Alcohol consumption is a common modifiable lifestyle factor. Alcohol may be a risk factor for frailty, however, there is limited evidence in the literature. OBJECTIVE The objectives of this study were to examine the association of alcohol consumption with the risk of incident frailty. METHODS This is a prospective panel study of 2544 community-dwelling people aged 60 years and older in England. Frailty status defined by frailty phenotype criteria was measured at baseline and 4 years later. Participants free of frailty at baseline were divided into 5 groups based on quantity of self-reported alcohol consumption per week with cut-points at 0, 7, 14, and 21 UK units per week. Adjusted odds ratios (OR) were calculated for incident frailty according to the alcohol consumption using logistic regression models. RESULTS Compared with the low consumption group (>0 and ≤7 units per week), incident frailty risk over 4 years was significantly higher among nondrinkers [OR 1.71, 95% confidence interval (CI) 1.12‒2.60, P value = .01], after controlling for sociodemographic confounders. In a supplementary analysis this became nonsignificant after further adjustment for baseline health status. Heavy drinkers (>21 units per week) had a significantly lower incident frailty risk (unadjusted OR 0.45, 95% CI 0.27‒0.75, P < .01), which became nonsignificant on adjustment for sociodemographic factors (OR 0.64, 95% CI 0.37‒1.13, P = .12). CONCLUSIONS/IMPLICATIONS We found that nondrinkers were more likely than those with low alcohol consumption to develop frailty, but this appeared to be explained by poorer baseline health status. No evidence was found for an association between high levels of alcohol consumption and becoming frail. Future studies with information on life-course history of alcohol use, especially for those classified as nondrinkers in old age, are warranted.
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Affiliation(s)
- Gotaro Kojima
- Department of Primary Care and Population Health, University College London, London, United Kingdom.
| | - Stephen Jivraj
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Steve Iliffe
- Department of Primary Care and Population Health, University College London, London, United Kingdom
| | - Milena Falcaro
- Department of Primary Care and Population Health, University College London, London, United Kingdom
| | - Ann Liljas
- Department of Primary Care and Population Health, University College London, London, United Kingdom
| | - Kate Walters
- Department of Primary Care and Population Health, University College London, London, United Kingdom
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Jyväkorpi SK, Urtamo A, Pitkälä KH, Strandberg TE. Nutrition, Daily Walking and Resilience Are Associated with Physical Function in the Oldest Old Men. J Nutr Health Aging 2018; 22:1176-1182. [PMID: 30498823 DOI: 10.1007/s12603-018-1136-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
BACKGROUND Maintaining good physical functioning in old age is of utmost importance for healthy and active aging. We examined physical function and associated factors in the oldest-old men. SUBJECTS AND METHODS The participants of this cross sectional analysis of a longitudinal study were the oldest old men( n=394, mean age 88 years, range 82-97 years) from the Helsinki Business Men cohort who responded to a postal health and nutrition survey in 2016. Physical function was defined using the respective subscale (Physical Function, PF) in the RAND-36 health-related quality of life (HRQoL) instrument. Resilience was measured with validated Finnish version of Resilience scale. Diet quality was assessed using Mediterranean diet adherence score (MeDi) and Diet quality index (DQI) which is designed to show adherence to Finnish dietary recommendations. Food and dietary intakes were retrieved using 3-day food records (obtained from a sub-group of the respondents). The participants were divided into quartiles corresponding to their PF scores and health and nutrition indicators were calculated into these PF quartiles. Furthermore, a linear regression model was used to determine factors associated with PF. RESULTS PF quartiles were positively associated with lower age, daily walking habit, cognition, diet quality, resilience, alcohol use and negatively associated with blood glucose levels, weight loss, body weight (BW) and falls. Polyunsaturated to saturated fat ratio and berry intake were also associated with PF. In a linear regression model PF was positively associated (p < .001, adjusted R2 = .560) with MeDi, cognition, resilience, vitality (RAND-36), and negatively with age and BW. CONCLUSION MeDi, exercise, resilience, cognition, use of alcohol, fat quality and lower age were positively associated with PF in the oldest-old men. Weight loss, falls and interestingly BW were negatively associated with PF.
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Affiliation(s)
- S K Jyväkorpi
- Satu Jyväkorpi, Tukholmankatu 8 B, 00014 University of Helsinki, Finland, Tel: +358 50 4920970,
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