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Lai A, Griffith LE, Kuspinar A, Turchyn JS, Richardson J. Impact of Care-Recipient Relationship Type on Quality of Life in Community-Dwelling Older Adults With Dementia Over Time. J Geriatr Psychiatry Neurol 2024; 37:294-306. [PMID: 37950653 PMCID: PMC11089829 DOI: 10.1177/08919887231215044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 10/17/2023] [Accepted: 10/30/2023] [Indexed: 11/13/2023]
Abstract
INTRODUCTION Maintaining quality of life (QoL) has been identified as the primary goal of care services for person living with dementia (PLWD). METHODS A secondary analysis was conducted on five rounds of the National Health and Aging Trends Study (NHATS) over 4 years. A generalized estimating equation (GEE) was used to examine the prediction of relationship type on older adults' QoL through four domains: mental health, general health, functional limitations, and pain. RESULTS older adults cared for by an adult-child or multiple caregivers predicted increased risk for functional limitations after adjustment for their socio-demographic and dementia status (IRR = 1.53, CI [1.26, 1.86]; IRR = 1.36, CI [1.14, 1.61], respectively). The interaction between the relationship type and education was significant. Older adults with a high school education or below, who were cared for by an adult child, had a significantly higher risk of increasing functional limitations over 4 years compared to those cared for by a spouse/partner (contrast = .50, P = .01, 95% CI [.07, .93]; contrast=.52, P = .03, 95% CI [.03, 1.02]; respectively). Similarly, older adults with a high school education, who were cared for by multiple caregivers, also experienced a significantly higher risk of increasing functional limitations than those cared for by a spouse/partner (contrast = .44, P = .03, 95% CI [.02, .85]). CONCLUSION Our findings provide evidence of the significant contribution of relationship type on PLWD's QoL changes over time. They also help to prioritize resource allocation while addressing PLWD's demands by socio-demographics such as education level.
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Affiliation(s)
- Aiping Lai
- School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada
| | - Lauren E Griffith
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Ayse Kuspinar
- School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada
| | | | - Julie Richardson
- School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
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Xie K, Perna L, Schöttker B, Kliegel M, Brenner H, Mons U. Type 2 diabetes mellitus and cognitive decline in older adults in Germany - results from a population-based cohort. BMC Geriatr 2022; 22:455. [PMID: 35619073 PMCID: PMC9137064 DOI: 10.1186/s12877-022-03151-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 05/09/2022] [Indexed: 11/11/2022] Open
Abstract
Background A large body of evidence supports a link between type 2 diabetes mellitus (T2DM) and cognitive function, including dementia. However, longitudinal studies on the association between T2DM and decline of cognitive function are scarce and reported mixed results, and we hence set out to investigate the cross-sectional and longitudinal association between T2DM and global as well as domain-specific cognitive performance. Methods We used multivariable regression models to assess associations of T2DM with cognitive performance and cognitive decline in a subsample of a population-based prospective cohort study (ESTHER). This subsample (n = 732) was aged 70 years and older and had participated in telephone-based cognitive function assessment (COGTEL) measuring global and domain-specific cognitive performance during the 5- and 8-year follow-up. Results Total COGTEL scores of patients with prevalent T2DM were 27.4 ± 8.3 and 29.4 ± 8.7 at the 5- and 8-year measurements, respectively, and were roughly two points lower than those of T2DM-free participants after adjustment for age and sex. In cross-sectional models, after adjustment for several potential confounders, performance in verbal short-term and long-term memory tasks was statistically significantly lower in participants with T2DM, but the association was attenuated after further adjustment for vascular risk factors. The difference in total COGTEL scores reflecting global cognitive function by T2DM status after full adjustment for confounders and vascular risk factors was equivalent to a decrement in global cognitive function associated with a four-year age difference. In longitudinal models, a statistically significantly stronger cognitive decline in patients with T2DM was observed for working memory. Conclusions In this sample of older individuals, T2DM was associated with worse performance and stronger decline in a cognitive function test. Memory-related domains were found to be particularly sensitive to T2DM. Further large-scale prospective studies are needed to clarify potential T2DM-related predictors of cognitive decline and possible consequences on the abilities to perform patient self-management tasks in diabetes care. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03151-y.
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Affiliation(s)
- Kun Xie
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Laura Perna
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Matthias Kliegel
- Department of Psychology, University of Geneva, Geneva, Switzerland
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
| | - Ute Mons
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. .,Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
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Faaitiiti KL, Jupiter DC. Diabetes-Specific Dementia: A Structured Literature Review of Cognitive Assessment Methods. J Foot Ankle Surg 2022; 61:401-409. [PMID: 34893425 PMCID: PMC8936078 DOI: 10.1053/j.jfas.2021.11.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 11/08/2021] [Indexed: 02/03/2023]
Abstract
Diabetes mellitus is a known risk factor for the development of multiple subtypes of dementia and mild cognitive impairment. Recent research identifies a cause-specific diabetes-related dementia with a unique set of characteristics. Currently, there is no standard cognitive assessment battery recommended to specifically assess dementia that is a direct consequence of chronic diabetes, and some evaluations have been used for decades with minimal revisions, regardless of appropriateness. We performed a systematic review of the dementia/cognition evaluation methods most commonly used in the literature for assessing diabetic patients and identified which cognitive domains are typically assessed in this setting, and whether cognitive changes were more reflective of a vascular pathology, Alzheimer's pathology, or something else entirely. Search results yielded 1089 articles. After screening for appropriateness, a total of 11 full-text articles were assessed. In general, subjects in the reviewed studies were assessed using a variety of testing methods, examining different combinations of cognitive domains. A standard, clear definition of which cognitive domains are the most important to assess in diabetic patients is needed in order to determine what combination of assessment tools are most pertinent. Given the growing subset of the US population, careful reconsideration of cognitive assessment methods is needed to create self-care plans that take into account a specific collection of cognitive challenges for those with diabetes.
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Affiliation(s)
- Kelli L. Faaitiiti
- Medical Student, School of Medicine, The University of Texas Medical Branch, Galveston, TX
| | - Daniel C. Jupiter
- Associate Professor, Department of Preventive Medicine and Population Health, The University of Texas Medical Branch, Galveston, TX,Associate Professor, Department of Orthopaedic Surgery and Rehabilitation, The University of Texas Medical Branch, Galveston, TX
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Gómez-Martínez C, Babio N, Júlvez J, Becerra-Tomás N, Martínez-González MÁ, Corella D, Castañer O, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Tur JA, López-Miranda J, Bueno-Cavanillas A, Gaforio JJ, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Dalsgaard S, Sayón-Orea C, Sorlí JV, de la Torre R, Abete I, Tojal-Sierra L, Barón-López FJ, Fernández-Brufal N, Konieczna J, García-Ríos A, Sacanella E, Bernal-López MR, Santos-Lozano JM, Razquin C, Alvarez-Sala A, Goday A, Zulet MA, Vaquero-Luna J, Diez-Espino J, Cuenca-Royo A, Fernández-Aranda F, Bulló M, Salas-Salvadó J. Glycemic Dysregulations Are Associated With Worsening Cognitive Function in Older Participants at High Risk of Cardiovascular Disease: Two-Year Follow-up in the PREDIMED-Plus Study. Front Endocrinol (Lausanne) 2021; 12:754347. [PMID: 34777250 PMCID: PMC8586462 DOI: 10.3389/fendo.2021.754347] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022] Open
Abstract
Introduction Type 2 diabetes has been linked to greater cognitive decline, but other glycemic parameters such as prediabetes, diabetes control and treatment, and HOMA-IR and HbA1c diabetes-related biomarkers have shown inconsistent results. Furthermore, there is limited research assessing these relationships in short-term studies. Thus, we aimed to examine 2-year associations between baseline diabetes/glycemic status and changes in cognitive function in older participants at high risk of cardiovascular disease. Methods We conducted a 2-year prospective cohort study (n=6,874) within the framework of the PREDIMED-Plus study. The participants (with overweight/obesity and metabolic syndrome; mean age 64.9 years; 48.5% women) completed a battery of 8 cognitive tests, and a global cognitive function Z-score (GCF) was estimated. At baseline, participants were categorized by diabetes status (no-diabetes, prediabetes, and <5 or ≥5-year diabetes duration), and also by diabetes control. Furthermore, insulin resistance (HOMA-IR) and glycated hemoglobin (HbA1c) levels were measured, and antidiabetic medications were recorded. Linear and logistic regression models, adjusted by potential confounders, were fitted to assess associations between glycemic status and changes in cognitive function. Results Prediabetes status was unrelated to cognitive decline. However, compared to participants without diabetes, those with ≥5-year diabetes duration had greater reductions in GCF (β=-0.11 (95%CI -0.16;-0.06)], as well as in processing speed and executive function measurements. Inverse associations were observed between baseline HOMA-IR and changes in GCF [β=-0.0094 (95%CI -0.0164;-0.0023)], but also between HbA1c levels and changes in GCF [β=-0.0085 (95%CI -0.0115, -0.0055)], the Mini-Mental State Examination, and other executive function tests. Poor diabetes control was inversely associated with phonologic fluency. The use of insulin treatment was inversely related to cognitive function as measured by the GCF [β=-0.31 (95%CI -0.44, -0.18)], and other cognitive tests. Conclusions Insulin resistance, diabetes status, longer diabetes duration, poor glycemic control, and insulin treatment were associated with worsening cognitive function changes in the short term in a population at high cardiovascular risk. Clinical Trial Registration http://www.isrctn.com/ISRCTN89898870, identifier ISRCTN: 89898870.
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Affiliation(s)
- Carlos Gómez-Martínez
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
| | - Jordi Júlvez
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
| | - Nerea Becerra-Tomás
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Á. Martínez-González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Nutritional Epidemiology Unit, Miguel Hernandez University, Alicante, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante-Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | - José A. Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, Campus de Excelencia Internacional Universidad Autónoma de Madrid + Consejo Superior de Investigaciones Científicas (CEI UAM + CSIC), Madrid, Spain
| | - Luís Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Ramón Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Malaga, Malaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IBIDELL, Hospitalet de Llobregat, Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Josep A. Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-Instituto Universitario de Investigación en Ciencias de la Salud (IUNICS) & Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Department of Preventive Medicine, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - José J. Gaforio
- CIBER de Epidemiología y Salud Pública (CIBERESP), ISCIII, Madrid, Spain
- Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Vicente Martín-Sánchez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), ISCIII, Madrid, Spain
- Departament of Endocrinology, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clínic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, IDIBAPS, Hospital Clínic, Barcelona, Spain
| | - Søren Dalsgaard
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Carmen Sayón-Orea
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - José V. Sorlí
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Rafael de la Torre
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Integrated Pharmacology and Systems Neurosciences Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Departamento de Ciencias Experimentales y de la Salud (CEXS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Lucas Tojal-Sierra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Francisco J. Barón-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | | | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Cordoba, Spain
| | - Emilio Sacanella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - M. Rosa Bernal-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Malaga, Malaga, Spain
| | - José M. Santos-Lozano
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Cristina Razquin
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Andrea Alvarez-Sala
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - M. Angeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
| | - Jessica Vaquero-Luna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Javier Diez-Espino
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdISNA), University of Navarra, Pamplona, Spain
- Gerencia de Atención Primaria Servicio Navarro de Salud-Osasunbidea, Navarra, Spain
| | - Aida Cuenca-Royo
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Fernando Fernández-Aranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Psychiatry, University Hospital of Bellvitge-Instituto de Investigación Biomédica de Bellvitge (IDIBELL), Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Mònica Bulló
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, Reus, Spain
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Perets I, Chaharbakhshi EO, Barkay G, Mu BH, Lall AC, Domb BG. Diabetes Mellitus Is Not a Negative Prognostic Factor for Patients Undergoing Hip Arthroscopy. Orthopedics 2021; 44:241-248. [PMID: 34292812 DOI: 10.3928/01477447-20210621-02] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Diabetes mellitus (DM) has been associated with inferior clinical outcomes and comorbidities in general. The authors sought to compare the outcomes of hip arthroscopy at minimum 2-year follow-up for patients with DM with those of patients without DM. Data were prospectively collected and retrospectively reviewed for patients who underwent hip arthroscopy between February 2008 and December 2014. The inclusion criteria were patients with DM who underwent hip arthroscopy for the treatment of femoroacetabular impingement and labral tears and had preoperative patient- reported outcomes. The exclusion criteria were preoperative Tönnis grade greater than 1, previous ipsilateral hip surgery, and/or previous conditions. All patients with DM were matched in a 1:2 ratio to control patients without DM. The matching criteria were age at surgery, sex, body mass index, workers' compensation, capsular treatment, and acetabular Outerbridge grade 0 or 1 vs 2, 3, or 4. Of 29 eligible patients with DM, 26 (89.7%) had minimum 2-year follow-up. Twenty-six patients with DM were matched and compared with 52 patients without DM. Acetabuloplasty was performed more frequently in the control group (P=.01). There were no other statistically significant differences detected in terms of demographics, preoperative radiographic imaging, intraoperative findings, procedures, preoperative scores, follow-up scores, revision rates, rates of conversion to total hip arthroplasty, or complication rates. Patients with DM demonstrated favorable improvements at 2 or more years after arthroscopic labral treatment when compared with a matched control group without DM. The DM group demonstrated a non-statistically significant trend toward inferior outcomes in all patient-reported outcomes, visual analog scale score, and satisfaction. [Orthopedics. 2021;44(4):241-248.].
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Jacob L, Shin JI, Oh H, López-Sánchez GF, Smith L, Haro JM, Koyanagi A. Association between diabetes and edentulism and their joint effects on health status in 40 low and middle-income countries. BMJ Open Diabetes Res Care 2021; 9:9/1/e002514. [PMID: 34620622 PMCID: PMC8499266 DOI: 10.1136/bmjdrc-2021-002514] [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] [Received: 07/28/2021] [Accepted: 09/26/2021] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Previous studies on the diabetes-edentulism relationship have yielded conflicting results. Therefore, the goal of this study was to investigate the association between diabetes and edentulism, and their joint effects on health status in adults from 40 low and middle-income countries (LMICs). RESEARCH DESIGN AND METHODS Data from the World Health Survey were used for this cross-sectional study (2002-2004). Forty countries (18 low-income and 22 middle-income countries) were included. Edentulism and diabetes were assessed using yes-no questions based on self-report. Health status was assessed in seven different domains (self-care, pain/discomfort, cognition, interpersonal activities, sleep/energy, affect, and perceived stress). The association between diabetes (exposure) and edentulism (outcome) was analyzed using multivariable logistic regression models, while their joint effects on health status were assessed using multivariable linear regression models. RESULTS There were 175 814 adults aged ≥18 years included in this study (mean (SD) age 38.4 (16.0) years; 49.3% men). Overall, the prevalence of edentulism was 6.0% and diabetes was 2.9%. There was a positive and significant association between diabetes and edentulism in the overall sample (OR=1.40, 95% CI 1.18 to 1.66), in low-income countries (OR=1.78, 95% CI 1.21 to 2.62) and in middle-income countries (OR=1.24, 95% CI 1.04 to 1.47). In addition, people with comorbid diabetes and edentulism had worse health status in the domains of cognition, sleep/energy, and perceived stress, compared with those with diabetes only. CONCLUSIONS Diabetes was positively associated with edentulism in this sample of more than 175 000 individuals living in LMICs. Providing oral care to individuals with diabetes may potentially lead to a reduction in their risk of edentulism.
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Affiliation(s)
- Louis Jacob
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Sant Boi de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, Montigny-le-Bretonneux, France
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
| | - Hans Oh
- Suzanne Dworak Peck School of Social Work, University of Southern California, Los Angeles, California, USA
| | - Guillermo F López-Sánchez
- Vision and Eye Research Institute, School of Medicine, Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University-Cambridge Campus, Cambridge, UK
| | - Lee Smith
- The Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University-Cambridge Campus, Cambridge, UK
| | - Josep Maria Haro
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Sant Boi de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Sant Boi de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- ICREA, Pg. Lluis Companys 23, Barcelona, Spain
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Dixon JS, Coyne AE, Duff K, Ready RE. Predictors of cognitive decline in a multi-racial sample of midlife women: A longitudinal study. Neuropsychology 2021; 35:514-528. [PMID: 34014752 PMCID: PMC8352567 DOI: 10.1037/neu0000743] [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] [Indexed: 11/08/2022] Open
Abstract
Objective: Hypertension, diabetes, depressive symptoms, and smoking are predictors of cognitive decline in late life. It is unknown if these risk factors are associated with cognition during midlife or if the associations between these risk factors and cognition vary by race. This longitudinal study examined (a) risk factors for decline in episodic memory, processing speed, and working memory in midlife women and (b) if the associations between risk factors and cognitive decline were moderated by race. Method: Participants (aged 42-52) were European American (n = 1,000), African American (n = 516), and Asian American (n = 437) women from the Study of Women's Health Across the Nation. Two-level hierarchical linear models tested risk factors, race, and their interactions as predictors of cognitive change over time. Results: African Americans had poorer baseline episodic memory, processing speed, and working memory and greater episodic memory decline compared to European Americans. Asian Americans had poorer episodic memory and working memory, but better processing speed than European Americans. Depressive symptoms were associated with poorer episodic memory and processing speed at baseline; further, diabetes was associated with poorer processing speed at baseline. Greater depressive symptoms were associated with poorer episodic memory at baseline for African Americans but not European Americans. Conclusions: Our study results highlight racial disparities in cognition during midlife. Depressive symptoms may be particularly detrimental to the cognitive health of African Americans. Clinical and public health interventions for healthy cognitive aging should be tailored to the unique risks of racial groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Jasmine S. Dixon
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA
| | - Alice E. Coyne
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA
| | - Kevin Duff
- Department of Neurology, University of Utah, Salt Lake City, UT
| | - Rebecca E. Ready
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, MA
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Shapiro ALB, Dabelea D, Stafford JM, D'Agostino R, Pihoker C, Liese AD, Shah AS, Bellatorre A, Lawrence JM, Henkin L, Saydah S, Wilkening G. Cognitive Function in Adolescents and Young Adults With Youth-Onset Type 1 Versus Type 2 Diabetes: The SEARCH for Diabetes in Youth Study. Diabetes Care 2021; 44:1273-1280. [PMID: 33905344 PMCID: PMC8247514 DOI: 10.2337/dc20-2308] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 03/11/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Poor cognition has been observed in children and adolescents with youth-onset type 1 (T1D) and type 2 diabetes (T2D) compared with control subjects without diabetes. Differences in cognition between youth-onset T1D and T2D, however, are not known. Thus, using data from SEARCH for Diabetes in Youth, a multicenter, observational cohort study, we tested the association between diabetes type and cognitive function in adolescents and young adults with T1D (n = 1,095) or T2D (n = 285). RESEARCH DESIGN AND METHODS Cognition was assessed via the National Institutes of Health Toolbox Cognition Battery, and age-corrected composite Fluid Cognition scores were used as the primary outcome. Confounder-adjusted linear regression models were run. Model 1 included diabetes type and clinical site. Model 2 additionally included sex, race/ethnicity, waist-to-height ratio, diabetes duration, depressive symptoms, glycemic control, any hypoglycemic episode in the past year, parental education, and household income. Model 3 additionally included the Picture Vocabulary score, a measure of receptive language and crystallized cognition. RESULTS Having T2D was significantly associated with lower fluid cognitive scores before adjustment for confounders (model 1; P < 0.001). This association was attenuated to nonsignificance with the addition of a priori confounders (model 2; P = 0.06) and Picture Vocabulary scores (model 3; P = 0.49). Receptive language, waist-to-height ratio, and depressive symptoms remained significant in the final model (P < 0.01 for all, respectively). CONCLUSIONS These data suggest that while youth with T2D have worse fluid cognition than youth with T1D, these differences are accounted for by differences in crystallized cognition (receptive language), central adiposity, and mental health. These potentially modifiable factors are also independently associated with fluid cognitive health, regardless of diabetes type. Future studies of cognitive health in people with youth-onset diabetes should focus on investigating these significant factors.
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Affiliation(s)
- Allison L B Shapiro
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Dana Dabelea
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Epidemiology, Colorado School of Public Health, Anschutz Medical Campus, Aurora, CO
| | - Jeanette M Stafford
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | | | | | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Amy S Shah
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center and The University of Cincinnati, Cincinnati, OH
| | - Anna Bellatorre
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Jean M Lawrence
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Leora Henkin
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sharon Saydah
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA
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9
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Zhou J, Walker RL, Gray SL, Marcum ZA, Barthold D, Bowen JD, McCormick W, McCurry SM, Larson EB, Crane PK. Glucose-Dementia Association Is Consistent Over Blood Pressure/Antihypertensive Groups. J Alzheimers Dis 2021; 80:79-90. [PMID: 33554906 DOI: 10.3233/jad-201138] [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: 11/15/2022]
Abstract
BACKGROUND Higher glucose levels are associated with dementia risk in people with and without diabetes. However, little is known about how this association might vary by hypertension status and antihypertensive treatment. Most studies on modifiable dementia risk factors consider each factor in isolation. OBJECTIVE To test the hypothesis that hypertension and antihypertensive treatments may modify associations between glucose levels and dementia. METHODS Analyses of data generated from a research study and clinical care of participants from a prospective cohort of dementia-free older adults, including glucose measures, diabetes and antihypertensive treatments, and blood pressure data. We defined groups based on blood pressure (hypertensive versus not, ≥140/90 mmHg versus <140/90 mmHg) and antihypertensive treatment intensity (0, 1, or ≥2 classes of antihypertensives). We used Bayesian joint models to jointly model longitudinal exposure and time to event data. RESULTS A total of 3,056 participants without diabetes treatment and 480 with diabetes treatment were included (mean age at baseline, 75.1 years; mean 7.5 years of follow-up). Higher glucose levels were associated with greater dementia risk among people without and with treated diabetes. Hazard ratios for dementia were similar across all blood pressure/antihypertensive treatment groups (omnibus p = 0.82 for people without and p = 0.59 for people with treated diabetes). CONCLUSION Hypertension and antihypertensive treatments do not appear to affect the association between glucose and dementia risk in this population-based longitudinal cohort study of community-dwelling older adults. Future studies are needed to examine this question in midlife and by specific antihypertensive treatments.
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Affiliation(s)
- Jing Zhou
- Kaiser Permanente Health Research Institute, Seattle, WA, USA
| | - Rod L Walker
- Kaiser Permanente Health Research Institute, Seattle, WA, USA
| | - Shelly L Gray
- Departments of Pharmacy, University of Washington, Seattle, WA, USA
| | - Zachary A Marcum
- Departments of Pharmacy, University of Washington, Seattle, WA, USA
| | - Douglas Barthold
- Departments of Pharmacy, University of Washington, Seattle, WA, USA
| | - James D Bowen
- Department of Neurology, Swedish Hospital Medical Center, Seattle, WA, USA
| | - Wayne McCormick
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Susan M McCurry
- Departments of Psychosocial and Community Health, University of Washington, Seattle, WA, USA
| | - Eric B Larson
- Kaiser Permanente Health Research Institute, Seattle, WA, USA
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
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Papunen S, Mustakallio-Könönen A, Auvinen J, Timonen M, Keinänen-Kiukaanniemi S, Sebert S. The association between diabetes and cognitive changes during aging. Scand J Prim Health Care 2020; 38:281-290. [PMID: 32777967 PMCID: PMC7470088 DOI: 10.1080/02813432.2020.1802140] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Worldwide, we are observing a rising prevalence of dementia and mild cognitive impairments that often co-occur with the heightened incidence of non-communicable diseases in the elderly. It is suggested that type 2 diabetes and defects in glucose metabolism might predispose to poorer cognitive performances and more rapid decline in old age. METHODS to address existing knowledge gaps in this area, we systematically reviewed the literature to identify whether patients with type 2 diabetes (T2DM) and pre-diabetes are at a higher risk of poorer cognitive performance, and whether the risk (if any) might affect specific cognitive abilities. We concentrated the review on elderly individuals (65 years or older) at intake. In total, 3251 original articles were retrieved, of which 17 met our inclusion and quality control criteria, which comprised 12 structured questions used to define the articles. RESULTS 11 of 17 studies found a statistically significant decline in cognition among individuals who had T2DM or pre-diabetes compared to their non-diabetic counterparts. The association between diabetes and cognitive decline was not always clear, and the extent of the cognitive tests used seemed to have the greatest effect on the results. CONCLUSION Focusing on a population age 65 years and over, we found insufficient evidence to support an association between pre-diabetes stages and mild cognitive impairment. However, there is consistent evidence to support diabetes as an independent risk factor for low cognitive ability in the elderly. Finally, we found insufficient evidence to support effect of T2DM on distinct cognitive ability due to the scarcity of comparable findings.
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Affiliation(s)
- Sanna Papunen
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- CONTACT Sanna Papunen Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, P.O. Box 5000, OuluFI-90014, Finland
| | | | - Juha Auvinen
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Markku Timonen
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | | | - Sylvain Sebert
- Centre for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Genomics of Complex Diseases, School of Public Health, Imperial College London, London, UK
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11
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Leissing-Desprez C, Thomas E, Segaux L, Broussier A, Oubaya N, Marie-Nelly N, Laurent M, Cleret de Langavant L, Fromentin I, David JP, Bastuji-Garin S. Understated Cognitive Impairment Assessed with the Clock-Drawing Test in Community-Dwelling Individuals Aged ≥50 Years. J Am Med Dir Assoc 2020; 21:1658-1664. [PMID: 32387111 DOI: 10.1016/j.jamda.2020.03.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Revised: 03/13/2020] [Accepted: 03/17/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVES To estimate the prevalence of understated cognitive impairment by administering the Clock-Drawing Test (CDT) to community-dwelling individuals aged ≥50 years and to investigate the associated clinical phenotype. DESIGN A cross-sectional analysis of baseline data on community-dwelling individuals assessed at an outpatient clinic in the Paris region of France. SETTING AND PARTICIPANTS Participants aged ≥50 years (n = 488, median age: 62.1 years) prospectively included in the SUCCessful agEing outpatiEnt's Department survey between 2010 and 2014. METHODS A multidimensional geriatric assessment, including cognition [7-point CDT, Mini-Mental State Examination (MMSE), the 5-word screening test (5-WT), and the Frontal Assessment Battery (FAB)], gait speed in dual tasks, mood [the Geriatric Depression Scale (GDS)], balance, physical functions (gait speed and handgrip strength), nutrition, bone density, and comorbidities; major cardiovascular risk factors, and Scheltens and Fazekas scores on brain magnetic resonance imaging. Baseline characteristics were analyzed as a function of the CDT score (<7 vs 7), using age-adjusted logistic models. RESULTS The prevalence of impairment in the CDT was 23.6%; higher than the values for the MMSE (12.7%), 5-WT (2.3%), and FAB (16.6%). In age-adjusted analyses, a lower educational level (odds ratio [95% confidence interval] = 0.72 [0.58‒0.89]), diabetes (2.57 [1.14‒5.79]), metabolic syndrome (1.93 [1.05‒3.56]), lower gait speed in the cognitive dual task (1.27 [1.05‒1.53]), a poorer Geriatric Depression Scale score (1.86 [1.04‒3.32]), a poorer MMSE score (2.56 [1.35‒4.88]), a poorer FAB score (1.79 [1.01‒3.16]), impaired episodic memory in the 5-WT (4.11 [1.12‒15.02]), and a higher Scheltens score (P = .001) were significantly associated with CDT impairment. CONCLUSIONS AND IMPLICATIONS Understated cognitive impairment is common among young seniors and is associated with factors known to be linked to a higher risk of cognitive decline and dementia. These findings suggest that the CDT may be of value for identifying high-risk individuals who may then benefit from targeted multidomain prevention actions (diet, exercise, cognitive training, and vascular risk factor management).
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Affiliation(s)
- Claire Leissing-Desprez
- Univ Paris Est Creteil, INSERM, IMRB, CEpiA Team, Creteil, France; AP-HP, Hôpitaux Henri-Mondor, Department of Geriatric Medecine, Creteil, France.
| | - Emilie Thomas
- AP-HP, Hôpitaux Henri-Mondor, Department of Geriatric Medecine, Creteil, France
| | - Lauriane Segaux
- Univ Paris Est Creteil, INSERM, IMRB, CEpiA Team, Creteil, France; AP-HP, Hôpitaux Henri-Mondor, Clinical Research Unit (URC Mondor), Creteil, France
| | - Amaury Broussier
- Univ Paris Est Creteil, INSERM, IMRB, CEpiA Team, Creteil, France; AP-HP, Hôpitaux Henri-Mondor, Department of Geriatric Medecine, Creteil, France
| | - Nadia Oubaya
- Univ Paris Est Creteil, INSERM, IMRB, CEpiA Team, Creteil, France; AP-HP, Hôpitaux Henri-Mondor, Department of Public Health, Creteil, France
| | | | - Marie Laurent
- Univ Paris Est Creteil, INSERM, IMRB, CEpiA Team, Creteil, France; AP-HP, Hôpitaux Henri-Mondor, Department of Geriatric Medecine, Creteil, France
| | - Laurent Cleret de Langavant
- AP-HP, Hôpitaux Henri-Mondor, Department of Neurology, Creteil, France; INSERM U955 E01, IMRB and ENS-DEC, PSL Research University (NeuroPsychologie Interventionnelle), Creteil and Paris, France
| | - Isabelle Fromentin
- AP-HP, Hôpitaux Henri-Mondor, Department of Geriatric Medecine, Creteil, France
| | - Jean-Philippe David
- Univ Paris Est Creteil, INSERM, IMRB, CEpiA Team, Creteil, France; AP-HP, Hôpitaux Henri-Mondor, Department of Geriatric Medecine, Creteil, France
| | - Sylvie Bastuji-Garin
- Univ Paris Est Creteil, INSERM, IMRB, CEpiA Team, Creteil, France; AP-HP, Hôpitaux Henri-Mondor, Clinical Research Unit (URC Mondor), Creteil, France; AP-HP, Hôpitaux Henri-Mondor, Department of Public Health, Creteil, France
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12
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Zhang S, Xue R, Hu R. The neuroprotective effect and action mechanism of polyphenols in diabetes mellitus-related cognitive dysfunction. Eur J Nutr 2019; 59:1295-1311. [PMID: 31598747 DOI: 10.1007/s00394-019-02078-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 08/10/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Diabetes mellitus (DM) is a complex and prevalent metabolic disorder worldwide. Strong evidence has emerged that DM is a risk factor for the accelerated rate of cognitive decline and the development of dementia. Though traditional pharmaceutical agents are efficient for the management of DM and DM-related cognitive decrement, long-term use of these drugs are along with undesired side effects. Therefore, tremendous studies have focused on the therapeutic benefits of natural compounds at present. Ample evidence exists to prove that polyphenols are capable to modulate diabetic neuropathy with minimal toxicity and adverse effects. PURPOSE To describe the benefits and mechanisms of polyphenols on DM-induced cognitive dysfunction. In this review, we introduce an updated overview of associations between DM and cognitive dysfunction. The risk factors as well as pathological and molecular mechanisms of DM-induced cognitive dysfunction are summarized. More importantly, many active polyphenols that possess preventive and therapeutic effects on DM-induced cognitive dysfunction and the potential signaling pathways involved in the action are highlighted. CONCLUSIONS The therapeutic effects of polyphenols on DM-related cognitive dysfunction pave a novel way for the management of diabetic encephalopathy.
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Affiliation(s)
- Shenshen Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, China.
| | - Ran Xue
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ruizhe Hu
- School of Physical Education (Main Campus), Zhengzhou University, Zhengzhou, China.
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Hambling CE, Khunti K, Cos X, Wens J, Martinez L, Topsever P, Del Prato S, Sinclair A, Schernthaner G, Rutten G, Seidu S. Factors influencing safe glucose-lowering in older adults with type 2 diabetes: A PeRsOn-centred ApproaCh To IndiVidualisEd (PROACTIVE) Glycemic Goals for older people: A position statement of Primary Care Diabetes Europe. Prim Care Diabetes 2019; 13:330-352. [PMID: 30792156 DOI: 10.1016/j.pcd.2018.12.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 12/17/2018] [Accepted: 12/28/2018] [Indexed: 12/23/2022]
Abstract
Diabetes in later life is associated with a range of factors increasing the complexity of glycaemic management. This position statement, developed from an extensive literature review of the subject area, represents a consensus opinion of primary care clinicians and diabetes specialists. It highlights many challenges facing older people living with type 2 diabetes and aims to support primary care clinicians in advocating a comprehensive, holistic approach. It emphasises the importance of the wishes of the individual and their carers when determining glycaemic goals, as well as the need to balance intended benefits of treatment against the risk of adverse treatment effects. Its ultimate aim is to promote consistent high-quality care for older people with diabetes.
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Affiliation(s)
- C E Hambling
- Department of Public Health and Primary Care, School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge, CB2 0SR, United Kingdom; Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4PW, United Kingdom.
| | - K Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4PW, United Kingdom
| | - X Cos
- Sant Marti de Provençals Primary Care Centres, Institut Català de la Salut, University Research Institute in Primary Care (IDIAP Jordi Gol), Barcelona, Spain
| | - J Wens
- Department of Medicine and Health Sciences, Primary and Interdisciplinary Care Antwerp, University of Antwerp, Antwerp, Belgium
| | - L Martinez
- Department of General Medicine, Pierre and Marie Curie University, Paris, France
| | - P Topsever
- Department of Family Medicine, Acibadem Mehmet Ali Aydinlar University School of Medicine, Kerem Aydinlar Campus, 34752 Atasehir, Istanbul, Turkey
| | - S Del Prato
- Department of Clinical and Experimental Medicine, Section of Diabetes, University of Pisa, Pisa, Italy
| | - A Sinclair
- Foundation for Diabetes Research in Older People (FDROP), Diabetes Frail, Luton, United Kingdom
| | - G Schernthaner
- Department of Medicine 1, Rudolfstiftung Hospital, Juchgasse 25, 1030 Vienna, Austria
| | - G Rutten
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, University, Utrecht, the Netherlands
| | - S Seidu
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4PW, United Kingdom
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