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Geritz J, Maetzold S, Steffen M, Pilotto A, Corrà MF, Moscovich M, Rizzetti MC, Borroni B, Padovani A, Alpes A, Bang C, Barcellos I, Baron R, Bartsch T, Becktepe JS, Berg D, Bergeest LM, Bergmann P, Bouça-Machado R, Drey M, Elshehabi M, Farahmandi S, Ferreira JJ, Franke A, Friederich A, Geisler C, Hüllemann P, Gierthmühlen J, Granert O, Heinzel S, Heller MK, Hobert MA, Hofmann M, Jemlich B, Kerkmann L, Knüpfer S, Krause K, Kress M, Krupp S, Kudelka J, Kuhlenbäumer G, Kurth R, Leypoldt F, Maetzler C, Maia LF, Moewius A, Neumann P, Niemann K, Ortlieb CT, Paschen S, Pham MH, Puehler T, Radloff F, Riedel C, Rogalski M, Sablowsky S, Schanz EM, Schebesta L, Schicketmüller A, Studt S, Thieves M, Tönges L, Ullrich S, Urban PP, Vila-Chã N, Wiegard A, Warmerdam E, Warnecke T, Weiss M, Welzel J, Hansen C, Maetzler W. Motor, cognitive and mobility deficits in 1000 geriatric patients: protocol of a quantitative observational study before and after routine clinical geriatric treatment - the ComOn-study. BMC Geriatr 2020; 20:45. [PMID: 32028945 PMCID: PMC7006407 DOI: 10.1186/s12877-020-1445-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 01/27/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Motor and cognitive deficits and consequently mobility problems are common in geriatric patients. The currently available methods for diagnosis and for the evaluation of treatment in this vulnerable cohort are limited. The aims of the ComOn (COgnitive and Motor interactions in the Older populatioN) study are (i) to define quantitative markers with clinical relevance for motor and cognitive deficits, (ii) to investigate the interaction between both motor and cognitive deficits and (iii) to assess health status as well as treatment outcome of 1000 geriatric inpatients in hospitals of Kiel (Germany), Brescia (Italy), Porto (Portugal), Curitiba (Brazil) and Bochum (Germany). METHODS This is a prospective, explorative observational multi-center study. In addition to the comprehensive geriatric assessment, quantitative measures of reduced mobility and motor and cognitive deficits are performed before and after a two week's inpatient stay. Components of the assessment are mobile technology-based assessments of gait, balance and transfer performance, neuropsychological tests, frailty, sarcopenia, autonomic dysfunction and sensation, and questionnaires to assess behavioral deficits, activities of daily living, quality of life, fear of falling and dysphagia. Structural MRI and an unsupervised 24/7 home assessment of mobility are performed in a subgroup of participants. The study will also investigate the minimal clinically relevant change of the investigated parameters. DISCUSSION This study will help form a better understanding of symptoms and their complex interactions and treatment effects in a large geriatric cohort.
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Affiliation(s)
- Johanna Geritz
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Sara Maetzold
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Maren Steffen
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Andrea Pilotto
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Marta F. Corrà
- Neurology Department, Centro Hospitalar do Porto, Porto, Portugal
| | - Mariana Moscovich
- Movement Disorders Unit, Neurology Service, Internal Medicine Department, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | - Maria C. Rizzetti
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Annekathrin Alpes
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Corinna Bang
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Igor Barcellos
- Movement Disorders Unit, Neurology Service, Internal Medicine Department, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil
| | - Ralf Baron
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Thorsten Bartsch
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Jos S. Becktepe
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Daniela Berg
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Lu M. Bergeest
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Philipp Bergmann
- Department of Internal Medicine I, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Raquel Bouça-Machado
- Instituto de Medicina Molecular, Lisbon, Portugal. CNS-Campus Neurológico Sénior, Torres Vedras, Portugal. Laboratory of Clinical Pharmacology and Therapeutics, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Michael Drey
- Medical Clinic and Policlinic IV, Ludwig-Maximilians-University of Munich, Munich, Germany
| | - Morad Elshehabi
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Susan Farahmandi
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Joaquim J. Ferreira
- Instituto de Medicina Molecular, Lisbon, Portugal. CNS-Campus Neurológico Sénior, Torres Vedras, Portugal. Laboratory of Clinical Pharmacology and Therapeutics, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Anja Friederich
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Corinna Geisler
- Institute of Human nutrition, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Philipp Hüllemann
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Janne Gierthmühlen
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Oliver Granert
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Sebastian Heinzel
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Maren K. Heller
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Markus A. Hobert
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | | | - Björn Jemlich
- Third Medical Clinic for Gastroenterology/Rheumatology, Städtisches Krankenhaus Kiel, Kiel, Germany
| | - Laura Kerkmann
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Stephanie Knüpfer
- Department of Urology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Katharina Krause
- Department of Internal Medicine I, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Maximilian Kress
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Sonja Krupp
- Research Group Geriatrics Lübeck, Red Cross Hospital Geriatric Centre, Lübeck, Germany
| | - Jennifer Kudelka
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Gregor Kuhlenbäumer
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Roland Kurth
- Department of Psychiatry and Psychotherapy, ZIP, Centre for Integrative Psychiatry, Kiel, Germany
| | - Frank Leypoldt
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Corina Maetzler
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Luis F. Maia
- Neurology Department, Centro Hospitalar do Porto, Porto, Portugal
| | - Andreas Moewius
- Department of Neurology, Ruhr-University Bochum, St. Josef-Hospital, Bochum, Germany
| | - Patricia Neumann
- Department of Neurology, Asklepios Klinik Barmbek, Hamburg, Germany
| | - Katharina Niemann
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | | | - Steffen Paschen
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Minh H. Pham
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
- Digital Signal Processing and System Theory, Faculty of Engineering, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Thomas Puehler
- Department of Cardiac and Vascular Surgery, Universitätsklinikum Schleswig-Holstein Campus Kiel, Kiel, Germany
| | - Franziska Radloff
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Christian Riedel
- Department of Radiology and Neuroradiology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Marten Rogalski
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Simone Sablowsky
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Elena M. Schanz
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Linda Schebesta
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
- Department of Cardiac and Vascular Surgery, Universitätsklinikum Schleswig-Holstein Campus Kiel, Kiel, Germany
| | | | - Simone Studt
- Department of Psychiatry and Psychotherapy, ZIP, Centre for Integrative Psychiatry, Kiel, Germany
| | - Martina Thieves
- Geriatric Clinic, Städtisches Krankenhaus Kiel, Kiel, Germany
| | - Lars Tönges
- Department of Neurology, Ruhr-University Bochum, St. Josef-Hospital, Bochum, Germany
| | - Sebastian Ullrich
- Third Medical Clinic for Gastroenterology/Rheumatology, Städtisches Krankenhaus Kiel, Kiel, Germany
| | - Peter P. Urban
- Department of Neurology, Asklepios Klinik Barmbek, Hamburg, Germany
| | - Nuno Vila-Chã
- Neurology Department, Centro Hospitalar do Porto, Porto, Portugal
| | - Anna Wiegard
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Elke Warmerdam
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
- Digital Signal Processing and System Theory, Faculty of Engineering, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Tobias Warnecke
- Department of Neurology, University Hospital Muenster, Muenster, Germany
| | - Michael Weiss
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Julius Welzel
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Clint Hansen
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Walter Maetzler
- Department of Neurology, Christian-Albrechts-University of Kiel, Kiel, Germany
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Rothrock RJ, Steinberger JM, Badgery H, Hecht AC, Cho SK, Caridi JM, Deiner S. Frailty status as a predictor of 3-month cognitive and functional recovery following spinal surgery: a prospective pilot study. Spine J 2019; 19:104-112. [PMID: 29792992 PMCID: PMC6358015 DOI: 10.1016/j.spinee.2018.05.026] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 04/30/2018] [Accepted: 05/16/2018] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT As increasing numbers of elderly Americans undergo spinal surgery, it is important to identify which patients are at highest risk for poor cognitive and functional recovery. Frailty is a geriatric syndrome that has been closely linked to poor outcomes, and short-form screening may be a helpful tool for preoperative identification of at-risk patients. PURPOSE This study aimed to conduct a pilot study on the usefulness of a short-form screening tool to identify elderly patients at increased risk for prolonged cognitive and functional recovery following elective spine surgery. STUDY DESIGN/SETTING This is a prospective, comparative cohort study. PATIENT SAMPLE The sample comprised 100 patients over age 65 who underwent elective spinal surgery (cervical or lumbar) at a single, large academic medical center from 2013 to 2014. OUTCOME MEASURES Fatigue, Resistance, Ambulation, Illnesses, Loss of Weight (FRAIL) scale, Postoperative Quality of Recovery Scale (PQRS), and instrumental activities of daily living (IADL) scores were the outcome measures. METHODS Included patients were assessed with the FRAIL scale and stratified as robust, pre-frail, or frail. The PQRS and IADL scores were also obtained. Patients were re-examined at 1 day, 3 days, 1 month, and 3 months after surgery for cognitive recovery at 3 months, and secondarily, functional recovery at 3 months. RESULTS At 3 months, only 50% of frail patients had recovered to their cognitive baseline compared with 60.7% of pre-frail and 69.2% of robust patients (trend). At 3 months, 66.7% of frail patients had recovered to their functional baseline compared with 57% of pre-frail and 76.9% of robust patients (trend). Using multivariate regression modeling, at 3 months, frail patients were less likely to have recovered to their cognitive baseline compared with pre-frail and robust patients (odds ratio 0.39, confidence interval 0.131-1.161). CONCLUSIONS This pilot study demonstrates a trend toward poorer cognitive recovery 3 months following elective spinal surgery for frail patients. Frailty screening can help preoperatively identify patients who may experience protracted cognitive and functional recovery.
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Affiliation(s)
- Robert J. Rothrock
- Department of Neurosurgery, Mount Sinai Icahn School of Medicine, 1468 Madison Avenue, New York, NY 10029
| | - Jeremy M. Steinberger
- Department of Neurosurgery, Mount Sinai Icahn School of Medicine, 1468 Madison Avenue, New York, NY 10029
| | - Henry Badgery
- Department of Anesthesiology, Mount Sinai Icahn School of Medicine, 1468 Madison Avenue, New York, NY 10029
| | - Andrew C. Hecht
- Department of Orthopedic Surgery, Mount Sinai Icahn School of Medicine, 1468 Madison Avenue, New York, NY 10029
| | - Samuel K. Cho
- Department of Orthopedic Surgery, Mount Sinai Icahn School of Medicine, 1468 Madison Avenue, New York, NY 10029
| | - John M. Caridi
- Department of Neurosurgery, Mount Sinai Icahn School of Medicine, 1468 Madison Avenue, New York, NY 10029
| | - Stacie Deiner
- Department of Anesthesiology, Mount Sinai Icahn School of Medicine, 1468 Madison Ave, New York, NY 10029, USA.
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Sanders JB, Bremmer MA, Comijs HC, van de Ven PM, Deeg DJH, Beekman ATF. Gait Speed and Processing Speed as Clinical Markers for Geriatric Health Outcomes. Am J Geriatr Psychiatry 2017; 25:374-385. [PMID: 28063852 DOI: 10.1016/j.jagp.2016.12.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Revised: 12/04/2016] [Accepted: 12/05/2016] [Indexed: 01/21/2023]
Abstract
OBJECTIVE This study investigates the independent and combined potential of slowed gait speed and slowed processing speed as predictors of adverse health outcomes. The role of depressive symptoms in these associations is also investigated. METHODS In the prospective cohort study, using the Longitudinal Aging Study Amsterdam database, three study samples for each outcome variable were defined: persistent cognitive decline (PCD; N = 1,271, 13 years of follow-up), falls (N = 1,282, 6 years of follow-up), and mortality (N = 1,559, age 74.9 ± 5.8, 21 years of follow-up). At baseline, gait speed (6-m walk with a turn at 3 m), processing speed (coding task), depressive symptoms (Center for Epidemiologic Studies Depression Scale), and basic demographic data were assessed. Also, time to PCD, falls, and mortality were assessed. Cox (for PCD and mortality) and stratified Cox (for falls) regression models were used. RESULTS Slowed processing speed predicted PCD (HR: 7.8; 95% CI: 3.3-18.8), slowed gait speed predicted falls (HR: 1.3; 95% CI: 1.0-1.5), and both measures predicted mortality (gait speed HR: 2.1; 95% CI: 1.6-2.6; processing speed HR: 1.9; 95% CI: 1.6-2.4). Each association remained significant after adjusting for the other slowing symptom. Slowed processing speed only predicted falls in the presence of slowed gait (interaction). A slowing sum score that combines both slowing symptoms predicted all three outcomes. The associations were not influenced by depressive symptoms. CONCLUSION Slowing of thought is as relevant as slowing of movement to predict adverse health outcomes, because they seem to represent separate underlying pathologies.
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Affiliation(s)
- Joost B Sanders
- Department of Old Age Psychiatry, Altrecht Institute for Mental Health Care Utrecht, Utrecht, The Netherlands; EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.
| | - Marijke A Bremmer
- EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Amsterdam, The Netherlands; Department of Psychiatry, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Hannie C Comijs
- Department of Psychiatry, VU University Medical Center Amsterdam, Amsterdam, The Netherlands; GGZInGeest, Amsterdam, The Netherlands
| | - Peter M van de Ven
- Department of Epidemiology and Biostatistics, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Dorly J H Deeg
- EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Aartjan T F Beekman
- EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Amsterdam, The Netherlands; Department of Psychiatry, VU University Medical Center Amsterdam, Amsterdam, The Netherlands; GGZInGeest, Amsterdam, The Netherlands
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Benito-León J, Contador I, Mitchell AJ, Domingo-Santos Á, Bermejo-Pareja F. Performance on Specific Cognitive Domains and Cause of Death: A Prospective Population-Based Study in Non-Demented Older Adults (NEDICES). J Alzheimers Dis 2016; 51:533-44. [PMID: 26890757 DOI: 10.3233/jad-150875] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Evidence regarding the relationship between performance on specific cognitive domains and cause of death is scarce. We assessed whether specific cognitive domains predicted mortality and the presence of any association with specific causes of death in a population-dwelling sample of non-demented older adults. In this population-based, prospective study (NEDICES), 2,390 non-demented subjects ≥65 years completed a brief neuropsychological battery. Cox's proportional hazards models, adjusted by sociodemographic and comorbidity factors, global cognitive performance, educational level, and premorbid intelligence were used to assess the risk of death. Participants were followed for a median of 9.2 years (range 0.01-10.7), after which the death certificates of those who died were examined. 880 (36.8%) of 2,390 participants died over a median follow-up of 5.5 years (range 0.01-10.5). Using adjusted Cox regression models, we found that hazard ratios for mortality in participants within the lowest tertiles (worse performance) were 1.31 (speed of cognitive processing, p = 0.03); 1.22 (semantic fluency, p = 0.04), 1.32 (delayed free recall, p = 0.003), and 1.23 (delayed logical memory, p = 0.03). Poor performance on delayed recall and speed of cognitive processing tests were associated with dementia and cerebrovascular disease mortality, respectively. Further, poor performance on semantic fluency was associated with decreased cancer mortality. In this study of community dwelling non-demented older adults, worse neuropsychological performance was associated with increased risk of mortality. Performance on specific cognitive domains were related to different causes of death. Of particular note there appears to be an inverse association between poor semantic fluency and cancer mortality.
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Affiliation(s)
- Julián Benito-León
- Department of Neurology, University Hospital "12 de Octubre", Madrid, Spain.,Department of Medicine, Faculty of Medicine, Complutense University, Madrid, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Israel Contador
- Department of Basic Psychology, Psychobiology and Methodology of Behavioral Science, University of Salamanca, Salamanca, Spain
| | - Alex J Mitchell
- Department of Neurology, Department of Psycho-oncology, Leicestershire Partnership Trust and University of Leicester, Leicester, UK
| | | | - Félix Bermejo-Pareja
- Department of Neurology, University Hospital "12 de Octubre", Madrid, Spain.,Department of Medicine, Faculty of Medicine, Complutense University, Madrid, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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Negrón-Blanco L, de Pedro-Cuesta J, Almazán J, Rodríguez-Blázquez C, Franco E, Damián J. Prevalence of and factors associated with homebound status among adults in urban and rural Spanish populations. BMC Public Health 2016; 16:574. [PMID: 27422021 PMCID: PMC4946192 DOI: 10.1186/s12889-016-3270-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 07/07/2016] [Indexed: 01/20/2023] Open
Abstract
Background There is a marked growth in the number of homebound older adults, due mainly to increased life expectancy. Although this group has special characteristics and needs, it has not been properly studied. This study thus aimed to measure the prevalence of homebound status in a community-dwelling population, and its association with both socio-demographic, medical and functional characteristics and the use of health care and social services. Methods We used instruments coming under the WHO International Classification of Functioning (ICF) framework to carry out a cross-sectional study on populations aged 50 years and over in the province of Zaragoza (Spain), covering a total of 1622 participants. Persons who reported severe or extreme difficulty in getting out of the house in the last 30 days were deemed to be homebound. We studied associations between homebound status and several relevant variables in a group of 790 subjects who tested positive to the WHODAS-12 disability screening tool. Results Prevalence of homebound status was 9.8 % (95 % CI: 8.4 to 11.3 %). Homebound participants tended to be older, female and display a lower educational level, a higher number of diseases, poorer cognition and a higher degree of disability. In fully adjusted models including disability as measured with the ICF-Checklist, the associated variables (odds ratios and [95 % confidence intervals]) were: female gender (3.75 [2.10–6.68]); urban population (2.36 [1.30–4.29]); WHODAS-12 disability (6.27 [2.56–15.40]); depressive symptoms (2.95 [1.86–4.68]); moderate pain (2.37 [1.30–4.31] and severe pain (3.03 [1.31–7.01]), as compared to the group with no/mild pain; hospital admissions in the previous 3 months (2.98 [1.25–7.11]); and diabetes (1.87 [1.03–3.41]). Adjustment for ICF-Checklist disability had a notable impact on most associations. Conclusions The study shows that homebound status is a common problem in our setting, and that being disabled is its main determinant. Socio-demographic characteristics, barriers and chronic diseases can also be assumed to be playing a role in the onset of this condition, indicating the need for further research, including longitudinal studies on its incidence and associated factors.
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Affiliation(s)
| | - Jesús de Pedro-Cuesta
- Department of Applied Epidemiology, National Centre for Epidemiology (Carlos III Institute of Health), Madrid, Spain.,Consortium for Biomedical Research in Neurodegenerative Diseases (Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas/CIBERNED), Madrid, Spain
| | - Javier Almazán
- Department of Applied Epidemiology, National Centre for Epidemiology (Carlos III Institute of Health), Madrid, Spain.,Consortium for Biomedical Research in Neurodegenerative Diseases (Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas/CIBERNED), Madrid, Spain
| | - Carmen Rodríguez-Blázquez
- Department of Applied Epidemiology, National Centre for Epidemiology (Carlos III Institute of Health), Madrid, Spain.,Consortium for Biomedical Research in Neurodegenerative Diseases (Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas/CIBERNED), Madrid, Spain
| | - Esther Franco
- Faculty of Medicine & Health Sciences, School of Physiatry and Nursing, Zaragoza University, Zaragoza, Spain
| | - Javier Damián
- Department of Applied Epidemiology, National Centre for Epidemiology (Carlos III Institute of Health), Madrid, Spain. .,Consortium for Biomedical Research in Neurodegenerative Diseases (Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas/CIBERNED), Madrid, Spain. .,Centro Nacional de Epidemiología (Instituto de Salud Carlos III), Av. de Monforte de Lemos 5, 28029, Madrid, Spain.
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