المؤلفون: S. G. Anjara, C. Bonetto, T. Van Bortel, C. Brayne

المصدر: International Journal of Mental Health Systems, Vol 14, Iss 1, Pp 1-13 (2020)

مصطلحات موضوعية: Mental health, Primary care, Screening, Psychometrics, Indonesia, Low- and Middle-Income Countries, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

الوصف: Abstract Background This study explores the factor structure of the Indonesian version of the GHQ-12 based on several theoretical perspectives and determines the threshold for optimum sensitivity and specificity. Through a focus group discussion, we evaluate the practicality of the GHQ-12 as a screening tool for mental health problems among adult primary care patients in Indonesia. Methods This is a prospective study exploring the construct validity, criterion validity and reliability of the GHQ-12, conducted with 676 primary care patients attending 28 primary care clinics randomised for participation in the study. Participants’ GHQ-12 scores were compared with their psychiatric diagnosis based on face-to-face clinical interviews with GPs using the CIS-R. Exploratory and Confirmatory Factor Analyses determined the construct validity of the GHQ-12 in this population. The appropriate threshold score of the GHQ-12 as a screening tool in primary care was determined using the receiver operating curve. Prior to data collection, a focus group discussion was held with research assistants who piloted the screening procedure, GPs, and a psychiatrist, to evaluate the practicality of embedding screening within the routine clinic procedures. Results Of all primary care patients attending the clinics during the recruitment period, 26.7% agreed to participate (676/2532 consecutive patients approached). Their median age was 46 (range 18–82 years); 67% were women. The median GHQ-12 score for our primary care sample was 2, with an interquartile range of 4. The internal consistency of the GHQ-12 was good (Cronbach’s α = 0.76). Four factor structures were fitted on the data. The GHQ-12 was found to best fit a one-dimensional model, when response bias is taken into consideration. Results from the ROC curve indicated that the GHQ-12 is ‘fairly accurate’ when discriminating primary care patients with indication of mental disorders from those without, with average AUC of 0.78. The optimal threshold of the GHQ-12 was either 1/2 or 2/3 point depending on the intended utility, with a Positive Predictive Value of 0.68 to 0.73 respectively. The screening procedure was successfully embedded into routine patient flow in the 28 clinics. Conclusions The Indonesian version of the GHQ-12 could be used to screen primary care patients at high risk of mental disorders although with significant false positives if reasonable sensitivity is to be achieved. While it involves additional administrative burden, screening may help identify future users of mental health services in primary care that the country is currently expanding.

وصف الملف: electronic resource

العلاقة: http://link.springer.com/article/10.1186/s13033-020-00397-0Test; https://doaj.org/toc/1752-4458Test

الوصول الحر: https://doaj.org/article/9287ed39b69c4878b2d5dbcebf80bca8Test

المؤلفون: S. B. Wharton, D. Wang, C. Parikh, F. E. Matthews, C. Brayne, P. G. Ince, on behalf of the Cognitive Function and Ageing Neuropathology Study Group

المصدر: Acta Neuropathologica Communications, Vol 7, Iss 1, Pp 1-12 (2019)

مصطلحات موضوعية: Neurology. Diseases of the nervous system, RC346-429

الوصف: Abstract Aβ-amyloid deposition is a key feature of Alzheimer’s disease, but Consortium to Establish a Registry for Alzheimer's Disease (CERAD) assessment, based on neuritic plaque density, shows a limited relationships to dementia. Thal phase is based on a neuroanatomical hierarchy of Aβ-deposition, and in combination with Braak neurofibrillary tangle staging also allows derivation of primary age-related tauopathy (PART). We sought to determine whether Thal Aβ phase predicts dementia better than CERAD in a population-representative cohort (n = 186) derived from the Cognitive Function and Ageing Study (CFAS). Cerebral amyloid angiopathy (CAA) was quantitied as the number of neuroanatomical areas involved and cases meeting criteria for PART were defined to determine if they are a distinct pathological group within the ageing population. Agreement with the Thal scheme was excellent. In univariate analysis Thal phase performed less well as a predictor of dementia than CERAD, Braak or CAA. Logistic regression, decision tree and linear discriminant analysis were performed for multivariable analysis, with similar results. Thal phase did not provide a better explanation of dementia than CERAD, and there was no additional benefit to including more than one assessment of Aβ in the model. Number of areas involved by CAA was highly correlated with assessment based on a severity score (p

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2051-5960Test

الوصول الحر: https://doaj.org/article/412ebe85176c457386793a930503e7dbTest

المؤلفون: Gina M. Peloso, Sven J. van derLee, International Genomics of Alzheimer's Project (IGAP), R. Sims, S.J. van derLee, A.C. Naj, C. Bellenguez, N. Badarinarayan, J. Jakobsdottir, B.W. Kunkle, A. Boland, R. Raybould, J.C. Bis, E.R. Martin, B. Grenier‐Boley, S. Heilmann‐Heimbach, V. Chouraki, A.B. Kuzma, K. Sleegers, M. Vronskaya, A. Ruiz, R.R. Graham, R. Olaso, P. Hoffmann, M.L. Grove, B.N. Vardarajan, M. Hiltunen, M.M. Nöthen, C.C. White, K.L. Hamilton‐Nelson, J. Epelbaum, W. Maier, S.H. Choi, G.W. Beecham, C. Dulary, S. Herms, A.V. Smith, C.C. Funk, Derbois, A.J. Forstner, S. Ahmad, H. Li, D. Bacq, D. Harold, C.L. Satizabal, O. Valladares, A. Squassina, R. Thomas, J.A. Brody, L. Qu, P. Sánchez‐Juan, T. Morgan, F.J. Wolters, Y. Zhao, F.S. Garcia, N. Denning, M. Fornage, J. Malamon, M.C.D. Naranjo, E. Majounie, T.H. Mosley, B. Dombroski, D. Wallon, M.K. Lupton, J. Dupuis, P. Whitehead, L. Fratiglioni, C. Medway, X. Jian, S. Mukherjee, L. Keller, K. Brown, H. Lin, L.B. Cantwell, F. Panza, B. McGuinness, S. Moreno‐Grau, J.D. Burgess, V. Solfrizzi, P. Proitsi, H.H. Adams, M. Allen, D. Seripa, P. Pastor, L.A. Cupples, N.D. Price, D. Hannequin, A. Frank‐García, D. Levy, P. Chakrabarty, P. Caffarra, I. Giegling, A.S. Beiser, V. Giedraitis, H. Hampel, M.E. Garcia, X. Wang, L. Lannfelt, P. Mecocci, G. Eiriksdottir, P.K. Crane, F. Pasquier, V. Boccardi, I. Henández, R.C. Barber, M. Scherer, L. Tarraga, P.M. Adams, M. Leber, Y. Chen, M.S. Albert, S. Riedel‐Heller, V. Emilsson, D. Beekly, A. Braae, R. Schmidt, D. Blacker, C. Masullo, H. Schmidt, R.S. Doody, G. Spalletta, W.T. Longstreth Jr., T.J. Fairchild, P. Bossù, O.L. Lopez, M.P. Frosch, E. Sacchinelli, B. Ghetti, Q. Yang, R.M. Huebinger, F. Jessen, S. Li, M.I. Kamboh, J. Morris, O. Sotolongo‐Grau, M.J. Katz, C. Corcoran, M. Dunstan, A. Braddel, C. Thomas, A. Meggy, R. Marshall, A. Gerrish, J. Chapman, M. Aguilar, S. Taylor, M. Hill, M.D. Fairén, A. Hodges, B. Vellas, H. Soininen, I. Kloszewska, M. Daniilidou, J. Uphill, Y. Patel, J.T. Hughes, J. Lord, J. Turton, A.M. Hartmann, R. Cecchetti, C. Fenoglio, M. Serpente, M. Arcaro, C. Caltagirone, M.D. Orfei, A. Ciaramella, S. Pichler, M. Mayhaus, W. Gu, A. Lleó, J. Fortea, R. Blesa, I.S. Barber, K. Brookes, C. Cupidi, R.G. Maletta, D. Carrell, S. Sorbi, S. Moebus, M. Urbano, A. Pilotto, J. Kornhuber, P. Bosco, S. Todd, D. Craig, J. Johnston, M. Gill, B. Lawlor, A. Lynch, N.C. Fox, J. Hardy, ARUK Consortium, R.L. Albin, L.G. Apostolova, S.E. Arnold, S. Asthana, C.S. Atwood, C.T. Baldwin, L.L. Barnes, S. Barral, T.G. Beach, J.T. Becker, E.H. Bigio, T.D. Bird, B.F. Boeve, J.D. Bowen, A. Boxer, J.R. Burke, J.M. Burns, J.D. Buxbaum, N.J. Cairns, C. Cao, C.S. Carlson, C.M. Carlsson, R.M. Carney, M.M. Carrasquillo, S.L. Carroll, C.C. Diaz, H.C. Chui, D.G. Clark, D.H. Cribbs, E.A. Crocco, C. DeCarli, M. Dick, R. Duara, D.A. Evans, K.M. Faber, K.B. Fallon, D.W. Fardo, M.R. Farlow, S. Ferris, T.M. Foroud, D.R. Galasko, M. Gearing, D.H. Geschwind, J.R. Gilbert, N.R. Graff‐Radford, R.C. Green, J.H. Growdon, R.L. Hamilton, L.E. Harrell, L.S. Honig, M.J. Huentelman, C.M. Hulette, B.T. Hyman, G.P. Jarvik, E. Abner, L.W. Jin, G. Jun, A. Karydas, J.A. Kaye, R. Kim, N.W. Kowall, J.H. Kramer, F.M. LaFerla, J.J. Lah, J.B. Leverenz, A.I. Levey, G. Li, A.P. Lieberman, K.L. Lunetta, C.G. Lyketsos, D.C. Marson, F. Martiniuk, D.C. Mash, E. Masliah, W.C. McCormick, S.M. McCurry, A.N. McDavid, A.C. McKee, M. Mesulam, B.L. Miller, C.A. Miller, J.W. Miller, J.C. Morris, J.R. Murrell, A.J. Myers, S. O'Bryant, J.M. Olichney, V.S. Pankratz, J.E. Parisi, H.L. Paulson, W. Perry, E. Peskind, A. Pierce, W.W. Poon, H. Potter, J.F. Quinn, A. Raj, M. Raskind, B. Reisberg, C. Reitz, J.M. Ringman, E.D. Roberson, E. Rogaeva, H.J. Rosen, R.N. Rosenberg, M.A. Sager, A.J. Saykin, J.A. Schneider, L.S. Schneider, W.W. Seeley, A.G. Smith, J.A. Sonnen, S. Spina, R.A. Stern, R.H. Swerdlow, R.E. Tanzi, T.A. Thornton‐Wells, J.Q. Trojanowski, J.C. Troncoso, V.M. Van Deerlin, L.J. Van Eldik, H.V. Vinters, J.P. Vonsattel, S. Weintraub, K.A. Welsh‐Bohmer, K.C. Wilhelmsen, J. Williamson, T.S. Wingo, R.L. Woltjer, C.B. Wright, C.E. Yu, L. Yu, F. Garzia, F. Golamaully, G. Septier, S. Engelborghs, R. Vandenberghe, P.P. De Deyn, C.M. Fernadez, Y.A. Benito, H. Thonberg, C. Forsell, L. Lilius, A. Kinhult‐Stählbom, L. Kilander, R. Brundin, L. Concari, S. Helisalmi, A.M. Koivisto, A. Haapasalo, V. Dermecourt, N. Fievet, O. Hanon, C. Dufouil, A. Brice, K. Ritchie, B. Dubois, J.J. Himali, C.D. Keene, J. Tschanz, A.L. Fitzpatrick, W.A. Kukull, M. Norton, T. Aspelund, E.B. Larson, R. Munger, J.I. Rotter, R.B. Lipton, M.J. Bullido, A. Hofman, T.J. Montine, E. Coto, E. Boerwinkle, R.C. Petersen, V. Alvarez, F. Rivadeneira, E.M. Reiman, M. Gallo, C.J. O'Donnell, J.S. Reisch, A.C. Bruni, D.R. Royall, M. Dichgans, M. Sano, D. Galimberti, P. St George‐Hyslop, E. Scarpini, D.W. Tsuang, M. Mancuso, U. Bonuccelli, A.R. Winslow, A. Daniele, C.K. Wu, GERAD/PERADES, CHARGE, ADGC, EADI, O. Peters, B. Nacmias, M. Riemenschneider, R. Heun, C. Brayne, D.C. Rubinsztein, J. Bras, R. Guerreiro, A. Al‐Chalabi, C.E. Shaw, J. Collinge, D. Mann, M. Tsolaki, J. Clarimón, R. Sussams, S. Lovestone, M.C. O'Donovan, M.J. Owen, T.W. Behrens, S. Mead, A.M. Goate, A.G. Uitterlinden, C. Holmes, C. Cruchaga, M. Ingelsson, D.A. Bennett, J. Powell, T.E. Golde, C. Graff, P.L. De Jager, K. Morgan, N. Ertekin‐Taner, O. Combarros, B.M. Psaty, P. Passmore, S.G. Younkin, C. Berr, V. Gudnason, D. Rujescu, D.W. Dickson, J.F. Dartigues, A.L. DeStefano, S. Ortega‐Cubero, H. Hakonarson, D. Campion, M. Boada, J.K. Kauwe, L.A. Farrer, C. Van Broeckhoven, M.A. Ikram, L. Jones, J.L. Haines, C. Tzourio, L.J. Launer, V. Escott‐Price, R. Mayeux, J.F. Deleuze, N. Amin, P.A. Holmans, M.A. Pericak‐Vance, P. Amouyel, C.M. vanDuijn, A. Ramirez, L.S. Wang, J.C. Lambert, S. Seshadri, J. Williams, G.D. Schellenberg, Anita L. Destefano, Sudha Seshardi

المصدر: Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 10, Iss 1, Pp 595-598 (2018)

مصطلحات موضوعية: Genetics, HDL‐C, Single nucleotide polymorphisms, Instrumental variables, Cholesteryl ester transfer protein, Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6

الوصف: Abstract Introduction There is conflicting evidence whether high‐density lipoprotein cholesterol (HDL‐C) is a risk factor for Alzheimer's disease (AD) and dementia. Genetic variation in the cholesteryl ester transfer protein (CETP) locus is associated with altered HDL‐C. We aimed to assess AD risk by genetically predicted HDL‐C. Methods Ten single nucleotide polymorphisms within the CETP locus predicting HDL‐C were applied to the International Genomics of Alzheimer's Project (IGAP) exome chip stage 1 results in up 16,097 late onset AD cases and 18,077 cognitively normal elderly controls. We performed instrumental variables analysis using inverse variance weighting, weighted median, and MR‐Egger. Results Based on 10 single nucleotide polymorphisms distinctly predicting HDL‐C in the CETP locus, we found that HDL‐C was not associated with risk of AD (P > .7). Discussion Our study does not support the role of HDL‐C on risk of AD through HDL‐C altered by CETP. This study does not rule out other mechanisms by which HDL‐C affects risk of AD.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2352-8729Test

الوصول الحر: https://doaj.org/article/accd30591f1c42d8a1e20fc987ef9a6dTest

المؤلفون: F. E. Matthews, B. C. M. Stephan, L. Robinson, C. Jagger, L. E. Barnes, A. Arthur, C. Brayne, Cognitive Function and Ageing Studies (CFAS) Collaboration

المصدر: Nature Communications, Vol 7, Iss 1, Pp 1-8 (2016)

مصطلحات موضوعية: Science

الوصف: Future dramatic rises in dementia are widely reported, assuming no change in incidence. Matthews and colleagues report that, in contrast to such statements, age-specific incidence has dropped over 20 years, with overall incidence of dementia remaining stable in a large multi-site population study from England.

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2041-1723Test

الوصول الحر: https://doaj.org/article/f5059e987ead4b1ba9e82c4f51891fffTest

المؤلفون: E Ray Dorsey, A Elbaz, E Nichols, F Abd-Allah, A Abdelalim, JC Adsuar, MG Ansha, C Brayne, JYJ Choi, D Collado-Mateo, N Dahodwala, HP Do, D Edessa, M Endres, SM Fereshtehnejad, KJ Foreman, FG Gankpe, R Gupta, GJ Hankey, SI Hay, MI Hegazy, DT Hibstu, A Kasaeian, Y Khader, I Khalil, YH Khang, YJ Kim, Y Kokubo, G Logroscino, J Massano, NM Ibrahim, MA Mohammed, A Mohammadi, M Moradi-Lakeh, M Naghavi, BT Nguyen, YL Nirayo, FA Ogbo, MO Owolabi, DM Pereira, MJ Postma, M Qorbani, Muhammad Rahman, KT Roba, H Safari, S Safiri, M Satpathy, M Sawhney, A Shafieesabet, MS Shiferaw, M Smith, CEI Szoeke, R Tabarés-Seisdedos, NT Truong, KN Ukwaja, N Venketasubramanian, S Villafaina, KG Weldegwergs, R Westerman, Kulasekara Wijeratne, AS Winkler, BT Xuan, N Yonemoto, VL Feigin, T Vos, CJL Murray

مصطلحات موضوعية: Uncategorized, Parkinson’s disease, Global Burden of Disease Study 2016

الوصف: Background: Neurological disorders are now the leading source of disability globally, and ageing is increasing the burden of neurodegenerative disorders, including Parkinson's disease. We aimed to determine the global burden of Parkinson's disease between 1990 and 2016 to identify trends and to enable appropriate public health, medical, and scientific responses. Methods: Through a systematic analysis of epidemiological studies, we estimated global, regional, and country-specific prevalence and years of life lived with disability for Parkinson's disease from 1990 to 2016. We estimated the proportion of mild, moderate, and severe Parkinson's disease on the basis of studies that used the Hoehn and Yahr scale and assigned disability weights to each level. We jointly modelled prevalence and excess mortality risk in a natural history model to derive estimates of deaths due to Parkinson's disease. Death counts were multiplied by values from the Global Burden of Disease study's standard life expectancy to compute years of life lost. Disability-adjusted life-years (DALYs) were computed as the sum of years lived with disability and years of life lost. We also analysed results based on the Socio-demographic Index, a compound measure of income per capita, education, and fertility. Findings: In 2016, 6·1 million (95% uncertainty interval [UI] 5·0–7·3) individuals had Parkinson's disease globally, compared with 2·5 million (2·0–3·0) in 1990. This increase was not solely due to increasing numbers of older people, because age-standardised prevalence rates increased by 21·7% (95% UI 18·1–25·3) over the same period (compared with an increase of 74·3%, 95% UI 69·2–79·6, for crude prevalence rates). Parkinson's disease caused 3·2 million (95% UI 2·6–4·0) DALYs and 211 296 deaths (95% UI 167 771–265 160) in 2016. The male-to-female ratios of age-standardised prevalence rates were similar in 2016 (1·40, 95% UI 1·36–1·43) and 1990 (1·37, 1·34–1·40). From 1990 to 2016, age-standardised prevalence, DALY rates, and death rates increased ...

العلاقة: https://figshare.com/articles/journal_contribution/Global_regional_and_national_burden_of_Parkinson_s_disease_1990_2016_a_systematic_analysis_for_the_Global_Burden_of_Disease_Study_2016/22952675Test

الإتاحة: https://doi.org/10.26181/22952675.v1Test
https://figshare.com/articles/journal_contribution/Global_regional_and_national_burden_of_Parkinson_s_disease_1990_2016_a_systematic_analysis_for_the_Global_Burden_of_Disease_Study_2016/22952675Test

المؤلفون: E Nichols, JD Steinmetz, SE Vollset, K Fukutaki, J Chalek, F Abd-Allah, A Abdoli, A Abualhasan, E Abu-Gharbieh, TT Akram, H Al Hamad, F Alahdab, FM Alanezi, V Alipour, S Almustanyir, H Amu, I Ansari, J Arabloo, T Ashraf, T Astell-Burt, G Ayano, AA Baig, A Barnett, A Barrow, BT Baune, Y Béjot, WMM Bezabhe, YM Bezabih, AS Bhagavathula, S Bhaskar, K Bhattacharyya, A Bijani, A Biswas, SR Bolla, A Boloor, C Brayne, H Brenner, K Burkart, RA Burns, LA Cámera, C Cao, F Carvalho, LFS Castro-de-Araujo, F Catalá-López, E Cerin, PP Chavan, N Cherbuin, DT Chu, VM Costa, RAS Couto, O Dadras, X Dai, L Dandona, R Dandona, V De la Cruz-Góngora, D Dhamnetiya, D Dias da Silva, D Diaz, A Douiri, D Edvardsson, M Ekholuenetale, I El Sayed, SI El-Jaafary, K Eskandari, S Eskandarieh, S Esmaeilnejad, J Fares, A Faro, U Farooque, VL Feigin, X Feng, SM Fereshtehnejad, E Fernandes, P Ferrara, I Filip, H Fillit, F Fischer, S Gaidhane, L Galluzzo, A Ghashghaee, N Ghith, A Gialluisi, SA Gilani, IR Glavan, EV Gnedovskaya, M Golechha, R Gupta, VB Gupta, VK Gupta, MR Haider, BJ Hall, S Hamidi, A Hanif, GJ Hankey, S Haque, RK Hartono, AI Hasaballah, MT Hasan, A Hassan

مصطلحات موضوعية: ALZHEIMERS-DISEASE, DIAGNOSIS, EUROPE, INSIGHTS, Life Sciences & Biomedicine, METAANALYSIS, MIDLIFE, MIXED BRAIN PATHOLOGIES, Public, Environmental & Occupational Health, Science & Technology, TRENDS, UNITED-STATES

الوصف: Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019

العلاقة: http://hdl.handle.net/10536/DRO/DU:30165286Test; https://figshare.com/articles/journal_contribution/Estimation_of_the_global_prevalence_of_dementia_in_2019_and_forecasted_prevalence_in_2050_an_analysis_for_the_Global_Burden_of_Disease_Study_2019/20610840Test

الإتاحة: http://hdl.handle.net/10536/DRO/DU:30165286Test
https://figshare.com/articles/journal_contribution/Estimation_of_the_global_prevalence_of_dementia_in_2019_and_forecasted_prevalence_in_2050_an_analysis_for_the_Global_Burden_of_Disease_Study_2019/20610840Test

المؤلفون: E Nichols (7722758), F Abd-Allah (7722233), A Abdoli (7796159), A Abualhasan (7796174), E Abu-Gharbieh (10129946), A Afshin (7723472), RO Akinyemi (7723940), FM Alanezi (9913260), V Alipour (7796225), A Almasi-Hashiani (7796237), J Arabloo (7796273), A Ashraf-Ganjouei (11403686), G Ayano (9246344), JL Ayuso-Mateos (11010630), AA Baig (9913290), M Banach (7657028), MA Barboza (7805645), SL Barker-Collo (7723634), BT Baune (7723655), AS Bhagavathula (11104137), K Bhattacharyya (7796357), A Bijani (7796363), A Biswas (9041315), A Boloor (11128788), C Brayne (7691264), H Brenner (7672451), K Burkart (11403689), S Burugina Nagaraja (11128791), F Carvalho (7750739), LFS Castro-de-Araujo (11403692), F Catalá-López (7796414), E Cerin (7796417), N Cherbuin (11403695), DT Chu (11128806), X Dai (11403698), AR de Sá-Junior (11403701), S Djalalinia (7723334), A Douiri (11403704), David Edvardsson (9487859), SI El-Jaafary (7796546), S Eskandarieh (7723784), A Faro (7723799), F Farzadfar (7723802), VL Feigin (7723814), SM Fereshtehnejad (11403707), E Fernandes (7796588), P Ferrara (11403710), I Filip (7723832), F Fischer (7723835), S Gaidhane (11403713), L Galluzzo (11403716), GG Gebremeskel (7796621), A Ghashghaee (7796645), A Gialluisi (11403719), EV Gnedovskaya (11403722), M Golechha (11403725), R Gupta (7722986), V Hachinski (7804955), MR Haider (11403728), TG Haile (11403731), M Hamiduzzaman (11403734), GJ Hankey (7635395), SI Hay (7723490), G Heidari (11403737), R Heidari-Soureshjani (11186742), HC Ho (11403740), M Househ (7796732), BF Hwang (11403743), L Iacoviello (11403746), OS Ilesanmi (7804994), IM Ilic (11403749), MD Ilic (7796738), SSN Irvani (7796744), M Iwagami (11403752), IO Iyamu (11403755), RP Jha (7796780), R Kalani (7805027), A Karch (7723976), AS Kasa (11403758), YS Khader (7722281), EA Khan (7722287), MN Khatib (11403761), YJ Kim (7696406), S Kisa (7796855), A Kisa (7722320), M Kivimäki (7810370), A Koyanagi (7722347), I Landires (11403764), S Lasrado (7796885), B Li (6415280), SS Lim (7723628), X Liu (7756691), S Madhava Kunjathur (11403767), A Majeed (7651898), P Malik (11403770), MM Mehndiratta (7722554), RG Menezes (7796981), Y Mohammad (7727924), S Mohammed (7722650)

مصطلحات موضوعية: Uncategorized, Dementia, Prevalence, Algorithm, Validity, Global health

الوصف: Note: Not all authors listed; please see article (last page) for full list of Contributors). Background: Data sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. However, validation samples from nationally representative surveys allow for the development of algorithms for the prediction of dementia prevalence nationally. Methods: Using cognitive testing data and data on functional limitations from Wave A (2001–2003) of the ADAMS study (n = 744) and the 2000 wave of the HRS study (n = 6358) we estimated a two-dimensional item response theory model to calculate cognition and function scores for all individuals over 70. Based on diagnostic information from the formal clinical adjudication in ADAMS, we fit a logistic regression model for the classification of dementia status using cognition and function scores and applied this algorithm to the full HRS sample to calculate dementia prevalence by age and sex. Results: Our algorithm had a cross-validated predictive accuracy of 88% (86–90), and an area under the curve of 0.97 (0.97–0.98) in ADAMS. Prevalence was higher in females than males and increased over age, with a prevalence of 4% (3–4) in individuals 70–79, 11% (9–12) in individuals 80–89 years old, and 28% (22–35) in those 90 and older. Conclusions: Our model had similar or better accuracy as compared to previously reviewed algorithms for the prediction of dementia prevalence in HRS, while utilizing more flexible methods. These methods could be more easily generalized and utilized to estimate dementia prevalence in other national surveys.

العلاقة: https://figshare.com/articles/journal_contribution/Use_of_multidimensional_item_response_theory_methods_for_dementia_prevalence_prediction_an_example_using_the_Health_and_Retirement_Survey_and_the_Aging_Demographics_and_Memory_Study/16583870Test

الإتاحة: https://doi.org/10.26181/61381548b16afTest

المؤلفون: K. M. Dreesbeimdiek, C.-M. von Behr, C. Brayne, P. J. Clarkson

المصدر: Proceedings of the Design Society. 2:1835-1844

الوصف: In an increasingly interconnected world, changes of uncertain nature and impact affect the functioning of human societies that depend on health, ecological, and economic systems. The proposed framework for systems-of-systems resilience explains ways of accommodating and responding to these challenges while encompassing the interfaces of the health, environment, and economy domains and their effect on communities. Resilience is defined as a continuous process and we distinguish between four system properties, five resilience capacities, and a variety of system activities.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::2bc6714d43f12f421dc0853cac9e43c8Test
https://doi.org/10.1017/pds.2022.186Test

المؤلفون: VL Feigin, E Nichols, T Alam, MS Bannick, E Beghi, N Blake, WJ Culpepper, ER Dorsey, A Elbaz, RG Ellenbogen, JL Fisher, C Fitzmaurice, G Giussani, L Glennie, SL James, CO Johnson, NJ Kassebaum, G Logroscino, B Marin, WC Mountjoy-Venning, M Nguyen, R Ofori-Asenso, AP Patel, M Piccininni, GA Roth, TJ Steiner, LJ Stovner, CEI Szoeke, A Theadom, SE Vollset, MT Wallin, C Wright, JR Zunt, N Abbasi, F Abd-Allah, A Abdelalim, I Abdollahpour, V Aboyans, HN Abraha, D Acharya, AA Adamu, OM Adebayo, AM Adeoye, JC Adsuar, M Afarideh, S Agrawal, A Ahmadi, MB Ahmed, AN Aichour, I Aichour, MTE Aichour, RO Akinyemi, N Akseer, A Al-Eyadhy, R Al-Shahi Salman, F Alahdab, KA Alene, SM Aljunid, K Altirkawi, N Alvis-Guzman, NH Anber, CAT Antonio, J Arabloo, O Aremu, J Ärnlöv, H Asayesh, RJ Asghar, HT Atalay, A Awasthi, BP Ayala Quintanilla, TB Ayuk, A Badawi, M Banach, JAM Banoub, MA Barboza, SL Barker-Collo, TW Bärnighausen, BT Baune, N Bedi, M Behzadifar, Y Béjot, BB Bekele, AB Belachew, DA Bennett, IM Bensenor, A Berhane, M Beuran, K Bhattacharyya, ZA Bhutta, B Biadgo, A Bijani, N Bililign, MS Bin Sayeed, CK Blazes, C Brayne, ZA Butt, IR Campos-Nonato, C Cantu-Brito, M Car

مصطلحات موضوعية: Clinical sciences not elsewhere classified, Neurosciences not elsewhere classified, Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences & Neurology, Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, 3202 Clinical sciences, 3209 Neurosciences, 4202 Epidemiology

الوصف: BACKGROUND: Neurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders. METHODS: We estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach. FINDINGS: Globally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247-308]) and second leading cause of deaths (9·0 million [8·8-9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34-44] and DALYs by 15% [9-21]) whereas their age-standardised rates decreased (deaths by 28% [26-30] and DALYs by 27% [24-31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6-46·1]), migraine (16·3% [11·7-20·8]), ...

العلاقة: http://hdl.handle.net/10536/DRO/DU:30121037Test; https://figshare.com/articles/journal_contribution/Global_regional_and_national_burden_of_neurological_disorders_1990-2016_a_systematic_analysis_for_the_Global_Burden_of_Disease_Study_2016/20760571Test

الإتاحة: http://hdl.handle.net/10536/DRO/DU:30121037Test
https://figshare.com/articles/journal_contribution/Global_regional_and_national_burden_of_neurological_disorders_1990-2016_a_systematic_analysis_for_the_Global_Burden_of_Disease_Study_2016/20760571Test

المؤلفون: S. Walsh, L. Wallace, I. Kuhn, O. Mytton, L. Lafortune, W. Wills, N. Mukadam, C. Brayne

المساهمون: Walsh, Seb [0000-0001-8894-5006], Brayne, Carol [0000-0001-5307-663X], Apollo - University of Cambridge Repository

مصطلحات موضوعية: population-level approaches, primary prevention, Dementia, General Medicine

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc608d1e15784b7e9bf4d2a5baa6db32Test
https://www.repository.cam.ac.uk/handle/1810/350001Test