214
Views
4
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Risk Factors and Prediction Nomogram of Cognitive Frailty with Diabetes in the Elderly

, , , &
Pages 3175-3185 | Received 17 Jun 2023, Accepted 02 Oct 2023, Published online: 16 Oct 2023

References

  • Cohen RA, Marsiske MM, Smith GE. Neuropsychology of aging. Handb Clin Neurol. 2019;167:149–180. doi:10.1016/B978-0-12-804766-8.00010-8
  • Morley JE, Vellas B, van Kan GA, et al. Frailty consensus: a call to action. J Am Med Dir Assoc. 2013;14(6):392–397. doi:10.1016/j.jamda.2013.03.022
  • Kwak D, Thompson LV. Frailty: past, present, and future? Sports Med Health Sci. 2021;3(1):1–10. doi:10.1016/j.smhs.2020.11.005
  • Picca A, Coelho-Junior HJ, Calvani R, et al. Biomarkers shared by frailty and sarcopenia in older adults: a systematic review and meta-analysis. Ageing Res Rev. 2022;73:101530. doi:10.1016/j.arr.2021.101530
  • Vermeiren S, Vella-Azzopardi R, Beckwee D, et al. Frailty and the prediction of negative health outcomes: a meta-analysis. J Am Med Dir Assoc. 2016;17(12):1163 e1161–1163 e1117. doi:10.1016/j.jamda.2016.09.010
  • Fhon JR, Rodrigues RA, Neira WF, et al. Fall and its association with the frailty syndrome in the elderly: systematic review with meta-analysis. Rev Esc Enferm USP. 2016;50(6):1005–1013. doi:10.1590/S0080-623420160000700018
  • Ward DD, Ranson JM, Wallace LMK, et al. Frailty, lifestyle, genetics and dementia risk. J Neurol Neurosurg Psychiatry. 2022;93(4):343–350. doi:10.1136/jnnp-2021-327396
  • Ruan Q, Yu Z, Chen M, et al. Cognitive frailty, a novel target for the prevention of elderly dependency. Ageing Res Rev. 2015;20:1–10. doi:10.1016/j.arr.2014.12.004
  • Panza F, Lozupone M, Solfrizzi V, et al. Different cognitive frailty models and health- and cognitive-related outcomes in older age: from epidemiology to prevention. J Alzheimers Dis. 2018;62(3):993–1012. doi:10.3233/JAD-170963
  • Glovaci D, Fan W, Wong ND. Epidemiology of diabetes mellitus and cardiovascular disease. Curr Cardiol Rep. 2019;21(4):21. doi:10.1007/s11886-019-1107-y
  • Fougere B, Delrieu J, Del Campo N, et al. Cognitive frailty: mechanisms, tools to measure, prevention and controversy. Clin Geriatr Med. 2017;33(3):339–355. doi:10.1016/j.cger.2017.03.001
  • Ma L, Chan P. Understanding the physiological links between physical frailty and cognitive decline. Aging Dis. 2020;11(2):405–418. doi:10.14336/AD.2019.0521
  • Thein FS, Li Y, Nyunt MSZ, et al. Physical frailty and cognitive impairment is associated with diabetes and adversely impact functional status and mortality. Postgrad Med. 2018;130(6):561–567. doi:10.1080/00325481.2018.1491779
  • Balachandran VP, Gonen M, Smith JJ, et al. Nomograms in oncology: more than meets the eye. Lancet Oncol. 2015;16(4):e173–180. doi:10.1016/S1470-2045(14)71116-7
  • International Expert C. International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes. Diabetes Care. 2009;32(7):1327–1334. doi:10.2337/dc09-9033.
  • van Smeden M, Moons KG, de Groot JA, et al. Sample size for binary logistic prediction models: beyond events per variable criteria. Stat Methods Med Res. 2019;28(8):2455–2474. doi:10.1177/0962280218784726
  • Kelaiditi E, Cesari M, Canevelli M, et al. Cognitive frailty: rational and definition from an (I.A.N.A./I.A.G.G.) international consensus group. J Nutr Health Aging. 2013;17(9):726–734. doi:10.1007/s12603-013-0367-2
  • Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol a Biol Sci Med Sci. 2001;56(3):M146–156. doi:10.1093/gerona/56.3.m146
  • Nasreddine ZS, Phillips NA, Bedirian V, et al. The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–699. doi:10.1111/j.1532-5415.2005.53221.x
  • Eriksen S, Bjorklof GH, Helvik AS, et al. The validity of the hospital anxiety and depression scale and the geriatric depression scale-5 in home-dwelling old adults in Norway(✰). J Affect Disord. 2019;256:380–385. doi:10.1016/j.jad.2019.05.049
  • Wade DT, Collin C. The Barthel ADL index: a standard measure of physical disability? Int Disabil Stud. 1988;10(2):64–67. doi:10.3109/09638288809164105
  • Wu WT, Li YJ, Feng AZ, et al. Data mining in clinical big data: the frequently used databases, steps, and methodological models. Mil Med Res. 2021;8(1):44. doi:10.1186/s40779-021-00338-z
  • Moons KG, Altman DG, Reitsma JB, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015;162(1):W1–73. doi:10.7326/M14-0698
  • Friedman J, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. J Stat Softw. 2010;33(1):1–22. doi:10.18637/jss.v033.i01
  • Feng L, Zin Nyunt MS, Gao Q, et al. Cognitive frailty and adverse health outcomes: findings from the Singapore longitudinal ageing studies (SLAS). J Am Med Dir Assoc. 2017;18(3):252–258. doi:10.1016/j.jamda.2016.09.015
  • Bu Z, Huang A, Xue M, et al. Cognitive frailty as a predictor of adverse outcomes among older adults: a systematic review and meta-analysis. Brain Behav. 2021;11(1):e01926. doi:10.1002/brb3.1926
  • Malek Rivan NF, Shahar S, Rajab NF, et al. Cognitive frailty among Malaysian older adults: baseline findings from the LRGS TUA cohort study. Clin Interv Aging. 2019;14:1343–1352. doi:10.2147/CIA.S211027
  • Sambuco N. Sex differences in the aging brain? A voxel-based morphometry analysis of the hippocampus and the amygdala. Neuroreport. 2021;32(16):1320–1324. doi:10.1097/WNR.0000000000001728
  • Li FR, Yang HL, Zhou R, et al. Diabetes duration and glycaemic control as predictors of cardiovascular disease and mortality. Diabetes Obes Metab. 2021;23(6):1361–1370. doi:10.1111/dom.14348
  • Reinke C, Buchmann N, Fink A, et al. Diabetes duration and the risk of dementia: a cohort study based on German health claims data. Age Ageing. 2022;51(1). doi:10.1093/ageing/afab231
  • Bellary S, Kyrou I, Brown JE, et al. Type 2 diabetes mellitus in older adults: clinical considerations and management. Nat Rev Endocrinol. 2021;17(9):534–548. doi:10.1038/s41574-021-00512-2
  • Chye L, Wei K, Nyunt MSZ, et al. Strong relationship between malnutrition and cognitive frailty in the Singapore longitudinal ageing studies (SLAS-1 and SLAS-2). J Prev Alzheimers Dis. 2018;5(2):142–148. doi:10.14283/jpad.2017.46
  • Gomez-Gomez ME, Zapico SC. Frailty, cognitive decline, neurodegenerative diseases and nutrition interventions. Int J Mol Sci. 2019;20(11):2842. doi:10.3390/ijms20112842
  • Ni Lochlainn M, Cox NJ, Wilson T, et al. Nutrition and frailty: opportunities for prevention and treatment. Nutrients. 2021;13(7):2349. doi:10.3390/nu13072349
  • Morley JE. Cognition and nutrition. Curr Opin Clin Nutr Metab Care. 2014;17(1):1–4. doi:10.1097/MCO.0000000000000005
  • Sugimoto T, Arai H, Sakurai T. An update on cognitive frailty: its definition, impact, associated factors and underlying mechanisms, and interventions. Geriatr Gerontol Int. 2021;22(2):99–109. doi:10.1111/ggi.14322
  • Sargent L, Nalls M, Starkweather A, et al. Shared biological pathways for frailty and cognitive impairment: a systematic review. Ageing Res Rev. 2018;47:149–158. doi:10.1016/j.arr.2018.08.001
  • Maeda K, Koga T, Nasu T, et al. Predictive accuracy of calf circumference measurements to detect decreased skeletal muscle mass and European society for clinical nutrition and metabolism-defined malnutrition in hospitalized older patients. Ann Nutr Metab. 2017;71(1–2):10–15. doi:10.1159/000478707
  • Gonzalez MC, Mehrnezhad A, Razaviarab N, et al. Calf circumference: cutoff values from the NHANES 1999–2006. Am J Clin Nutr. 2021;113(6):1679–1687. doi:10.1093/ajcn/nqab029
  • Portero-McLellan KC, Staudt C, Silva FR, et al. The use of calf circumference measurement as an anthropometric tool to monitor nutritional status in elderly inpatients. J Nutr Health Aging. 2010;14(4):266–270. doi:10.1007/s12603-010-0059-0
  • Kim M, Jeong MJ, Yoo J, et al. Calf circumference as a screening tool for cognitive frailty in community-dwelling older adults: the Korean frailty and aging cohort study (KFACS). J Clin Med. 2018;7(10):332. doi:10.3390/jcm7100332
  • Yanase T, Yanagita I, Muta K, et al. Frailty in elderly diabetes patients. Endocr J. 2018;65(1):1–11. doi:10.1507/endocrj.EJ17-0390
  • Zis P, Daskalaki A, Bountouni I, et al. Depression and chronic pain in the elderly: links and management challenges. Clin Interv Aging. 2017;12:709–720. doi:10.2147/CIA.S113576
  • Xie B, Ma C, Chen Y, et al. Prevalence and risk factors of the co-occurrence of physical frailty and cognitive impairment in Chinese community-dwelling older adults. Health Soc Care Community. 2021;29(1):294–303. doi:10.1111/hsc.13092
  • Huang Y, Guo X, Du J, et al. Associations between intellectual and social activities with frailty among community-dwelling older adults in China: a prospective cohort study. Front Med. 2021;8:693818. doi:10.3389/fmed.2021.693818
  • Li X, Zhang J, Hou R, et al. Bidirectional associations of intellectual and social activities with cognitive function among middle-aged and elderly adults in China. J Affect Disord. 2022;319:83–89. doi:10.1016/j.jad.2022.09.031
  • Fernandez I, Garcia-Molla A, Oliver A, et al. The role of social and intellectual activity participation in older adults’ cognitive function. Arch Gerontol Geriatr. 2023;107:104891. doi:10.1016/j.archger.2022.104891
  • Bangsbo J, Blackwell J, Boraxbekk CJ, et al. Copenhagen consensus statement 2019: physical activity and ageing. Br J Sports Med. 2019;53(14):856–858. doi:10.1136/bjsports-2018-100451
  • Lee SY, Nyunt MSZ, Gao Q, et al. Association of Tai Chi exercise with physical and neurocognitive functions, frailty, quality of life and mortality in older adults: Singapore longitudinal ageing study. Age Ageing. 2022;51(4). doi:10.1093/ageing/afac086
  • Wang X, Lu Y, Li C, et al. Associations of lifestyle activities and a heathy diet with frailty in old age: a community-based study in Singapore. Aging. 2020;12(1):288–308. doi:10.18632/aging.102615