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      Frailty and the prediction of dependence and mortality in low- and middle-income countries: a 10/66 population-based cohort study

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          Abstract

          Background

          In countries with high incomes, frailty indicators predict adverse outcomes in older people, despite a lack of consensus on definition or measurement. We tested the predictive validity of physical and multidimensional frailty phenotypes in settings in Latin America, India, and China.

          Methods

          Population-based cohort studies were conducted in catchment area sites in Cuba, Dominican Republic, Venezuela, Mexico, Peru, India, and China. Seven frailty indicators, namely gait speed, self-reported exhaustion, weight loss, low energy expenditure, undernutrition, cognitive, and sensory impairment were assessed to estimate frailty phenotypes. Mortality and onset of dependence were ascertained after a median of 3.9 years.

          Results

          Overall, 13,924 older people were assessed at baseline, with 47,438 person-years follow-up for mortality and 30,689 for dependence. Both frailty phenotypes predicted the onset of dependence and mortality, even adjusting for chronic diseases and disability, with little heterogeneity of effect among sites. However, population attributable fractions (PAF) summarising etiologic force were highest for the aggregate effect of the individual indicators, as opposed to either the number of indicators or the dichotomised frailty phenotypes. The aggregate of all seven indicators provided the best overall prediction (weighted mean PAF 41.8 % for dependence and 38.3 % for mortality). While weight loss, underactivity, slow walking speed, and cognitive impairment predicted both outcomes, whereas undernutrition predicted only mortality and sensory impairment only dependence. Exhaustion predicted neither outcome.

          Conclusions

          Simply assessed frailty indicators identify older people at risk of dependence and mortality, beyond information provided by chronic disease diagnoses and disability. Frailty is likely to be multidimensional. A better understanding of the construct and pathways to adverse outcomes could inform multidimensional assessment and intervention to prevent or manage dependence in frail older people, with potential to add life to years, and years to life.

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          Most cited references27

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          Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care.

          Three terms are commonly used interchangeably to identify vulnerable older adults: comorbidity, or multiple chronic conditions, frailty, and disability. However, in geriatric medicine, there is a growing consensus that these are distinct clinical entities that are causally related. Each, individually, occurs frequently and has high import clinically. This article provides a narrative review of current understanding of the definitions and distinguishing characteristics of each of these conditions, including their clinical relevance and distinct prevention and therapeutic issues, and how they are related. Review of the current state of published knowledge is supplemented by targeted analyses in selected areas where no current published data exists. Overall, the goal of this article is to provide a basis for distinguishing between these three important clinical conditions in older adults and showing how use of separate, distinct definitions of each can improve our understanding of the problems affecting older patients and lead to development of improved strategies for diagnosis, care, research, and medical education in this area.
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            Frailty in older adults: evidence for a phenotype

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              Frailty: emergence and consequences in women aged 65 and older in the Women's Health Initiative Observational Study.

              To define frailty using simple indicators; to identify risk factors for frailty as targets for prevention; and to investigate the predictive validity of this frailty classification for death, hospitalization, hip fracture, and activity of daily living (ADL) disability. Prospective study, the Women's Health Initiative Observational Study. Forty U.S. clinical centers. Forty thousand six hundred fifty-seven women aged 65 to 79 at baseline. Components of frailty included self-reported muscle weakness/impaired walking, exhaustion, low physical activity, and unintended weight loss between baseline and 3 years of follow-up. Death, hip fractures, ADL disability, and hospitalizations were ascertained during an average of 5.9 years of follow-up. Baseline frailty was classified in 16.3% of participants, and incident frailty at 3-years was 14.8%. Older age, chronic conditions, smoking, and depressive symptom score were positively associated with incident frailty, whereas income, moderate alcohol use, living alone, and self-reported health were inversely associated. Being underweight, overweight, or obese all carried significantly higher risk of frailty than normal weight. Baseline frailty independently predicted risk of death (hazard ratio (HR)=1.71, 95% confidence interval (CI)=1.48-1.97), hip fracture (HR=1.57, 95% CI=1.11-2.20), ADL disability (odds ratio (OR)=3.15, 95% CI=2.47-4.02), and hospitalizations (OR=1.95, 95% CI=1.72-2.22) after adjustment for demographic characteristics, health behaviors, disability, and comorbid conditions. These results support the robustness of the concept of frailty as a geriatric syndrome that predicts several poor outcomes in older women. Underweight, obesity, smoking, and depressive symptoms are strongly associated with the development of frailty and represent important targets for prevention.
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                Author and article information

                Contributors
                jothees.at@iiphh.org
                renata@firstinfo.com
                matthew.prina@kcl.ac.uk
                daisyacosta@claro.net.do
                ferricleusa@gmail.com
                mariella.guerra.1066@gmail.com
                dengy@mail.tsinghua.edu.cn
                mguerra@infomed.sld.cu
                aquiles@cantv.net
                drasosa@hotmail.com
                jdw@vsnl.com
                michael.dewey@kcl.ac.uk
                ixhuetzca@hotmail.com
                zhaoruiliu@gmail.com
                beardj@who.int
                martin.prince@kcl.ac.uk
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                10 June 2015
                10 June 2015
                2015
                : 13
                : 138
                Affiliations
                [ ]Centre for Global Mental Health, Health Service and Population Research Department, Institute of Psychiatry, King’s College, De Crespigny Park, London, SE5 8AF UK
                [ ]Universidad Nacional Pedro Henriquez Ureña (UNPHU), Internal Medicine Department, Geriatric Section, Km 7 1/2, Av. John F. Kennedy, Santo Domingo, 1423 Dominican Republic
                [ ]Universidade Federal de Sao Paulo, Department of Psychobiology, Rua Napoleão de Barros, 925, 3rd floor, São Paulo, SP, 04024-002 Brazil
                [ ]Institute of Education and Health Sciences at the Hospital Alemao Oswaldo Cruz, Rua João Juliao, 245, First floor, Sao Paulo, SP, 01323-903 Brazil
                [ ]Instituto de la Memoria y Desordenes Relacionados, Av. Constructores 1230, La Molina, Lima Perú
                [ ]Peking University, Institute of Mental Health, 51 Huayuan N Rd, Haidian, Beijing 100083 China
                [ ]Facultad de Medicina Finley-Albarran, Medical University of Havana, Calle 146 No. 2504, Playa municipality, Havana, Cuba
                [ ]Medicine Department, Caracas University Hospital; Faculty of Medicine, Universidad Central de Venezuela, Edif. Decanato de Medicina, Los Chaguaramos, Caracas-9995 Venezuela
                [ ]National Institute of Neurology and Neurosurgery of Mexico, Autonomous National University of Mexico, Delegacion Tlalpan, Coyoacán -, 4510 Mexico
                [ ]Voluntary Health Services, Taramani, Chennai- 6000113 India
                [ ]Indian Institute of Public Health Hyderabad, Public Health Foundation of India, Plot no 1, ANV Arcade, Amar Co-operative society, Kavuri Hills, Madhapur, Hyderabad -, 500033, Telangana India
                [ ]Department of Ageing and Life Course, World Health Organization, Avenue Appia 201211, Geneva 27, Switzerland
                Article
                378
                10.1186/s12916-015-0378-4
                4481121
                26063168
                6dcbebe6-60ec-4786-9bb9-9ee8c958ea6f
                © AT et al. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 10 March 2015
                : 19 May 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Medicine
                aged,frailty,developing countries,disability,geriatric assessment,epidemiology,long-term care,mortality

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