The Academy of Medical Sciences. Multimorbidity: a priority for global health research. (2018). https://acmedsci.ac.uk/file-download/82222577.
Salive ME. Multimorbidity in older adults. Epidemiol Rev. 2013;35:75–83.
Quiñones AR, Markwardt S, Thielke S, Rostant O, Vásquez E, Botoseneanu A. Prospective disability in different combinations of somatic and mental multimorbidity. J Gerontol A. 2018;73:204–10.
Li H, Wang A, Gao Q, Wang X, Luo Y, Yang X, Li X, Wang W, Zheng D, Guo X. Prevalence of somatic-mental multimorbidity and its prospective association with disability among older adults in China. Aging. 2020;12:7218–31.
Article PubMed PubMed Central Google Scholar
Vetrano DL, Rizzuto D, Calderón-Larrañaga A, Onder G, Welmer A-K, Bernabei R, Marengoni A, Fratiglioni L. Trajectories of functional decline in older adults with neuropsychiatric and cardiovascular multimorbidity: A Swedish cohort study. PLoS Med. 2018;15: e1002503.
Article PubMed PubMed Central Google Scholar
Russo MP, Grande-Ratti MF, Burgos MA, Molaro AA, Bonella MB. Prevalence of diabetes, epidemiological characteristics and vascular complications. Arch Cardiol Mex. 2023;93:30–6.
PubMed PubMed Central Google Scholar
Petrie JR, Guzik TJ, Touyz RM. Diabetes, hypertension, and cardiovascular disease: clinical insights and vascular mechanisms. Can J Cardiol. 2018;34:575–84.
Lenti MV, Klersy C, Brera AS, Ballesio A, Croce G, Padovini L, Ciccocioppo R, Bertolino G, Di Sabatino A, Corazza GR. Aging underlies heterogeneity between comorbidity and multimorbidity frameworks. Intern Emerg Med. 2022;17:1033–41.
Article PubMed PubMed Central Google Scholar
Muntner P, Carey RM, Gidding S, Jones DW, Taler SJ, Wright JT, Whelton PK. Potential US population impact of the 2017 ACC/AHA high blood pressure guideline. Circulation. 2018;137:109–18.
Sinclair A, Saeedi P, Kaundal A, Karuranga S, Malanda B, Williams R. Diabetes and global ageing among 65–99-year-old adults: findings from the international diabetes federation diabetes atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108078.
Sims OT, Oh H, Noh H, Melton PA, Sheffield S, Ingram K, Sawyer P. Prevalence and predictors of co-occurring diabetes and hypertension in community-dwelling older adults. Geriatr Gerontol Int. 2018;18:1356–60.
Fritz S, Lusardi M. White paper: “walking speed: the sixth vital sign.” J Geriatr Phys Ther. 2009;32:2–5.
Adam CE, Fitzpatrick AL, Leary CS, Hajat A, Phelan EA, Park C, Semmens EO. The association between gait speed and falls in community dwelling older adults with and without mild cognitive impairment. Int J Environ Res Public Health. 2021. https://doi.org/10.3390/ijerph18073712.
Article PubMed PubMed Central Google Scholar
Studenski S, Perera S, Patel K, Rosano C, Faulkner K, Inzitari M, Guralnik J. Gait speed and survival in older adults. JAMA - Journal of the American Medical Association. 2011;305:50–8.
Article CAS PubMed Google Scholar
Liu J, Cui K, Chen Q, Li Z, Fu J, Gong X, Xu H. Association of walking speed with cognitive function in Chinese older adults: a nationally representative cohort study. Front Aging Neurosci; 2022. https://doi.org/10.3389/fnagi.2022.1003896.
Castell M-V, Sánchez M, Julián R, Queipo R, Martín S, Otero Á. Frailty prevalence and slow walking speed in persons age 65 and older: implications for primary care. BMC Fam Pract. 2013;14:1–9.
Doi T, Nakakubo S, Tsutsumimoto K, Kurita S, Ishii H, Shimada H. Spatiotemporal gait characteristics and risk of mortality in community-dwelling older adults. Maturitas. 2021;151:31–5.
Montaquila J, Freedman V, Edwards B, Kasper J. National health and aging trends study round 1 sample design and selection. NHATS Technical Paper #1. Baltimore: Johns Hopkins University School of Public Health. 2015. https://nhatspubdemo.westat.com/scripts/sampling/NHATS_Round1_Sample_Design_05_10_12.pdf.
Kasper JD, Freedman VA. National health and aging trends study user guide: rounds 1–9 final release. Baltimore, Maryland. 2020. https://nhats.org/sites/default/files/2021-04/NHATS_User_Guide_R9_Final_Release_0.pdf.
Kasper JD, Freedman VA. National health and aging trends study ( NHATS ) user guide: rounds 1–10 final release. 2021. https://nhats.org/sites/default/files/2022-03/NHATS_User_Guide_R10_Final_Release.pdf.
Steffen TM, Hacker TA, Mollinger L. Age- and Gender-Related Test Performance in Community-Dwelling Elderly People: Six-Minute Walk Test, Berg Balance Scale, Timed Up & Go Test, and Gait Speeds. Phys Ther. 2002;82:128–37.
White DK, Neogi T, Nevitt MC, et al. Trajectories of gait speed predict mortality in well-functioning older adults: The health, aging and body composition study. Journals of Gerontology - Series A Biological Sciences and Medical Sciences. 2013;68:456–64.
Muthén LK, Muthén BO Mplus User’s Guide. Eighth Edition. https://www.statmodel.com/download/usersguide/MplusUserGuideVer_8.pdf.
Leonard JA, Glenwick DS. Handbook of methodological approaches to community-based research : qualitative, quantitative, and mixed methods. Incorporated: Oxford University; 2016.
Nylund KL, Muthén BO. Deciding on the number of classes in latent class analysis and growth mixture modeling : a monte carlo simulation study. Structural equation modeling: A multidisciplinary Journal 2007;14:535–69.
Law EH, Harrington R (2016) A primer on latent class analysis. Value & Outcomes Spotlight 18–19. https://www.ispor.org/docs/default-source/publications/value-outcomes-spotlight/november-december-2016/vos-primer-on-latent-class-analysis.pdf?sfvrsn=52b359b7_2.
Collins LM, Lanza ST. Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. Hoboken, NJ: John Wiley & Sons Inc; 2010.
Graham JW. Missing data analysis: making it work in the real world. Annu Rev Psychol. 2009;60:549–76.
Stata Corp. Stata Statistical Software: Release 15. College Station, TX: StataCorp LLC. 2017.
Faul F, Erdfelder E, Buchner A, Lang AG. Statistical power analyzes using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41:1149–60.
Allison PD. Missing data. In: Millsap RE, Maydeu-Olivares A, editors. The Sage handbook of quantitative methods in psychology. Thousand Oaks, California: SAGE Publications Inc.; 2009. p. 72–89.
Conrady S, Jouffe L. Bayesian networks and BayesiaLab: a practical introduction for researchers. 2015 Bayesia USA Franklin.
de Melo LA, de Braga L, C, Leite FPP, Bittar BF, Oséas JM de F, Lima KC de,. Factors associated with multimorbidity in the elderly: an integrative literature review. Revista Brasileira de Geriatria e Gerontologia. 2019;22:2–11.
Busija L, Lim K, Szoeke C, Sanders KM, McCabe MP. Do replicable profiles of multimorbidity exist? Systematic review and synthesis. Eur J Epidemiol. 2019;34:1025–53.
Fabbri E, Chiles Shaffer N, Gonzalez-Freire M, Shardell MD, Zoli M, Studenski SA, Ferrucci L. Early body composition, but not body mass, is associated with future accelerated decline in muscle quality. J Cachexia Sarcopenia Muscle. 2017;8:490–9.
Article PubMed PubMed Central Google Scholar
Bektas A, Schurman SH, Sen R, Ferrucci L. Aging, inflammation and the environment. Exp Gerontol. 2018;105:10–8.
Article CAS PubMed Google Scholar
Schett G, Kleyer A, Perricone C, et al. Diabetes is an independent predictor for severe osteoarthritis: results from a longitudinal cohort study. Diabetes Care. 2013;36:403–9.
Article PubMed PubMed Central Google Scholar
Rehling T, Bjørkman ASD, Andersen MB, Ekholm O, Molsted S. Diabetes is associated with musculoskeletal pain, osteoarthritis, osteoporosis, and rheumatoid arthritis. J Diabetes Res. 2019. https://doi.org/10.1155/2019/6324348.
Article PubMed PubMed Central Google Scholar
Courties A, Sellam J. Osteoarthritis and type 2 diabetes mellitus: what are the links? Diabetes Res Clin Pract. 2016;122:198–206.
Article CAS PubMed Google Scholar
Lo K, Au M, Ni J, Wen C. Association between hypertension and osteoarthritis: a systematic review and meta-analysis of observational studies. J Orthop Translat. 2022;32:12–20.
Chan PMB, Wen C, Yang WC, Yan C, Chiu KY. Is subchondral bone cyst formation in non-load-bearing region of osteoarthritic knee a vascular problem? Med Hypotheses. 2017;109:80–3.
Article CAS PubMed Google Scholar
Health Partners. Chronic disease and mental health report. 2015.
Herrera PA, Campos-Romero S, Szabo W, Martínez P, Guajardo V, Rojas G. Understanding the relationship between depression and chronic diseases such as diabetes and hypertension: a grounded theory study. Int J Environ Res Public Health. 2021. https://doi.org/10.3390/ijerph182212130.
Figgins E, Pieruccini-Faria F, Speechley M, Montero-Odasso M. Potentially modifiable risk factors for slow gait in community-dwelling older adults: a systematic review. Ageing Res Rev. 2021. https://doi.org/10.1016/j.arr.2020.101253.
Salinero-Fort MA, Gomez-Campelo P, Andres-Rebollo FJS, et al. Prevalence of depression in patients with type 2 diabetes mellitus in Spain (the DIADEMA Study): results from the MADIABETES cohort. BMJ Open. 2018. https://doi.org/10.1136/bmjopen-2017-020768.
Colbourne L, Luciano S, Harrison PJ. Onset and recurrence of psychiatric disorders associated with anti-hypertensive drug classes. Transl Psychiatry. 2021. https://doi.org/10.1038/s41398-021-01444-1.
Comments (0)