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      Patterns of multimorbidity and risk of disability in community-dwelling older persons

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          Abstract

          The aim was to analyze the association between specific patterns of multimorbidity and risk of disability in older persons. Data were gathered from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K); 2066 60 + year-old participants living in the community and free from disability at baseline were grouped according to their multimorbidity patterns and followed-up for six years. The association between multimorbidity patterns and disability in basic (ADL) and instrumental (IADL) activities of daily living was examined through multinomial models. Throughout the follow-up, 434 (21.0%) participants developed at least one ADL and 310 (15.0%) at least one IADL. Compared to the unspecific pattern, which included diseases not exceeding their expected prevalence in the total sample, belonging to the cardiovascular/anemia/dementia, the sensory impairment/cancer and the musculoskeletal/respiratory/gastrointestinal patterns was associated with a higher risk of developing both ADL and IADL, whereas subjects in the metabolic/sleep disorders pattern showed a higher risk of developing only IADL. Multimorbidity patterns are differentially associated with incident disability, which is important for the design of future prevention strategies aimed at delaying functional impairment in old age, and for a better healthcare resource planning.

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          The online version contains supplementary material available at (10.1007/s40520-020-01773-z).

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          Most cited references18

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          Measuring biological aging in humans: A quest

          Abstract The global population of individuals over the age of 65 is growing at an unprecedented rate and is expected to reach 1.6 billion by 2050. Most older individuals are affected by multiple chronic diseases, leading to complex drug treatments and increased risk of physical and cognitive disability. Improving or preserving the health and quality of life of these individuals is challenging due to a lack of well‐established clinical guidelines. Physicians are often forced to engage in cycles of “trial and error” that are centered on palliative treatment of symptoms rather than the root cause, often resulting in dubious outcomes. Recently, geroscience challenged this view, proposing that the underlying biological mechanisms of aging are central to the global increase in susceptibility to disease and disability that occurs with aging. In fact, strong correlations have recently been revealed between health dimensions and phenotypes that are typical of aging, especially with autophagy, mitochondrial function, cellular senescence, and DNA methylation. Current research focuses on measuring the pace of aging to identify individuals who are “aging faster” to test and develop interventions that could prevent or delay the progression of multimorbidity and disability with aging. Understanding how the underlying biological mechanisms of aging connect to and impact longitudinal changes in health trajectories offers a unique opportunity to identify resilience mechanisms, their dynamic changes, and their impact on stress responses. Harnessing how to evoke and control resilience mechanisms in individuals with successful aging could lead to writing a new chapter in human medicine.
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            A longitudinal study integrating population, care and social services data. The Swedish National study on Aging and Care (SNAC).

            A large, national, long-term, longitudinal, multi-purpose study has been launched in Sweden--the Swedish National study on Aging and Care (SNAC). The study involves four research centers collecting data in four different areas of Sweden. The study consists of two parts: the population part and the care and services part. In the population part, a large, representative panel of elders in different age cohorts is followed over time to record and describe the aging process from different aspects. In the care and services part, a systematic, longitudinal, individually-based collection of data is performed concerning provision of care and services together with functional ability, specific health care problems, and living conditions of the recipients living in the area. The data collection in the population part of the SNAC is not yet completed. In the present article, some preliminary results are reported from the care and services part. These pertain to comparisons between the participating areas with respect to the prevalence of disability among those receiving care and social services in their ordinary homes and those receiving care in special accommodation. A comparison is also presented with regard to the amount of home help provided to subjects with a given disability. This project has several advantages. It is expected to generate a rich data base relevant for future research on aging and care and to have a direct impact on the future Swedish system of care and services for the elderly.
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              Assessing and Measuring Chronic Multimorbidity in the Older Population: A Proposal for Its Operationalization

              Abstract Background Although the definition of multimorbidity as “the simultaneous presence of two or more chronic diseases” is well established, its operationalization is not yet agreed. This study aims to provide a clinically driven comprehensive list of chronic conditions to be included when measuring multimorbidity. Methods Based on a consensus definition of chronic disease, all four-digit level codes from the International Classification of Diseases, 10th revision (ICD-10) were classified as chronic or not by an international and multidisciplinary team. Chronic ICD-10 codes were subsequently grouped into broader categories according to clinical criteria. Last, we showed proof of concept by applying the classification to older adults from the Swedish National study of Aging and Care in Kungsholmen (SNAC-K) using also inpatient data from the Swedish National Patient Register. Results A disease or condition was considered to be chronic if it had a prolonged duration and either (a) left residual disability or worsening quality of life or (b) required a long period of care, treatment, or rehabilitation. After applying this definition in relation to populations of older adults, 918 chronic ICD-10 codes were identified and grouped into 60 chronic disease categories. In SNAC-K, 88.6% had ≥2 of these 60 disease categories, 73.2% had ≥3, and 55.8% had ≥4. Conclusions This operational measure of multimorbidity, which can be implemented using either or both clinical and administrative data, may facilitate its monitoring and international comparison. Once validated, it may enable the advancement and evolution of conceptual and theoretical aspects of multimorbidity that will eventually lead to better care.
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                Author and article information

                Contributors
                Alessandra.marengoni@unibs.it
                Journal
                Aging Clin Exp Res
                Aging Clin Exp Res
                Aging Clinical and Experimental Research
                Springer International Publishing (Cham )
                1594-0667
                1720-8319
                13 February 2021
                13 February 2021
                2021
                : 33
                : 2
                : 457-462
                Affiliations
                [1 ]GRID grid.7637.5, ISNI 0000000417571846, Department of Clinical and Experimental Sciences, , University of Brescia, ; Brescia, Italy
                [2 ]GRID grid.10548.38, ISNI 0000 0004 1936 9377, Aging Research Center, Department of Neurobiology, Care Sciences and Society, , Karolinska Institutet and Stockholm University, ; Stockholm, Sweden
                [3 ]GRID grid.8142.f, ISNI 0000 0001 0941 3192, Centro Medicina Dell’Invecchiamento, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, , Università Cattolica del Sacro Cuore, ; Rome, Italy
                [4 ]Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Gran Via Corts Catalanes 587, Barcelona, Spain
                [5 ]GRID grid.7080.f, Universitat Autònoma de Barcelona, ; Campus de la UAB, Bellaterra (Cerdanyola del Vallès), Spain
                [6 ]GRID grid.416651.1, ISNI 0000 0000 9120 6856, Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, , Istituto Superiore Di Sanità, ; Rome, Italy
                [7 ]GRID grid.4714.6, ISNI 0000 0004 1937 0626, Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, , Karolinska Institutet, ; Stockholm, Sweden
                [8 ]GRID grid.24381.3c, ISNI 0000 0000 9241 5705, Karolinska University Hospital, ; Stockholm, Sweden
                [9 ]GRID grid.419683.1, ISNI 0000 0004 0513 0226, Stockholm Gerontology Research Center, ; Stockholm, Sweden
                Author information
                http://orcid.org/0000-0002-4851-1825
                Article
                1773
                10.1007/s40520-020-01773-z
                7914228
                33580869
                d95dacf0-077f-4c73-84e0-d307b18f8c5c
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 October 2020
                : 3 December 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004359, Vetenskapsrådet;
                Funded by: Karolinska Institute
                Categories
                Short Communication
                Custom metadata
                © Springer Nature Switzerland AG 2021

                multimorbidity patterns,disability,older persons
                multimorbidity patterns, disability, older persons

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