Alberti, K., Eckel, R.H., Grundy, S.M., Zimmet, P.Z., Cleeman, J.I., Donato, K.A., Fruchart, J.-C., James, W.P.T., Loria, C.M., Smith, S.C. Jr., Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120 (2009), 1640–1645.
Alexopoulos, G.S., Meyers, B.S., Young, R.C., Campbell, S., Silbersweig, D., Charlson, M., 'Vascular depression'hypothesis. Arch. Gen. Psychiatry 54 (1997), 915–922.
Asparouhov, T., Muthén, B., Using mplus TECH11 and TECH14 to test the number of latent classes. Mplus Web Notes, 14, 2012, 22.
Asparouhov, T., Muthén, B., Auxiliary variables in mixture modeling: three-step approaches using mplus. Struct. Equ. Model. Multidiscip. J. 21 (2014), 329–341.
Barbaresko, J., Rienks, J., Nöthlings, U., Lifestyle indices and cardiovascular disease risk: a meta-analysis. Am. J. Prev. Med. 55 (2018), 555–564.
Barents, E.B., HJG, Bouma, M., Van den Brink-Muinen, A., Dankers, M., Van den Donk, M., Hart, H.E., Houweling, S.T., IJzerman, R.G., Janssen, P.G.H., Kerssen, A., Palmen, J., Verburg-Oorthuizen, A.F.E., Wiersma, Tj, NHG-standaard M01 Versie 5.2 Diabetes mellitus type 2. https://richtlijnen.nhg.org/standaarden/diabetes-mellitus-type-2, 2018 Accessed 13-11-2020.
Beijers, L., Wardenaar, K.J., Bosker, F.J., Lamers, F., van Grootheest, G., de Boer, M.K., Penninx, B.W.J.H., Schoevers, R.A., Biomarker-based subtyping of depression and anxiety disorders using Latent Class Analysis. A NESDA study. Psychol. Med. 49 (2019), 617–627.
Bell, C.C., DSM-IV: diagnostic and statistical manual of mental disorders. JAMA 272 (1994), 828–829.
Bennett, S., Thomas, A.J., Depression and dementia: cause, consequence or coincidence?. Maturitas 79 (2014), 184–190.
Byrne, B.M., Structural Equation Modeling With Mplus: Basic Concepts, Applications, and Programming. 2013, Routledge.
Clark, A.M., DesMeules, M., Luo, W., Duncan, A.S., Wielgosz, A., Socioeconomic status and cardiovascular disease: risks and implications for care. Nat. Rev. Cardiol. 6 (2009), 712–722.
Disabato, B.M., Sheline, Y.I., Biological basis of late life depression. Curr. Psychiatry Rep. 14 (2012), 273–279.
van Dongen, M.C., Wijckmans-Duysens, N.E.G., den Biggelaar, L.J., Ocké, M.C., Meijboom, S., Brants, H.A., de Vries, J.H., Feskens, E.J., Bueno-de-Mesquita, H.B., Geelen, A., Stehouwer, C.D., Dagnelie, P.C., Eussen, S.J., The Maastricht FFQ: development and validation of a comprehensive food frequency questionnaire for the Maastricht study. Nutrition 62 (2019), 39–46.
Gafoor, R., Booth, H.P., Gulliford, M.C., Antidepressant utilisation and incidence of weight gain during 10 years' follow-up: population based cohort study. BMJ, 361, 2018.
Gerdts, E., Regitz-Zagrosek, V., Sex differences in cardiometabolic disorders. Nat. Med. 25 (2019), 1657–1666.
Harada, N.D., Chiu, V., King, A.C., Stewart, A.L., An evaluation of three self-report physical activity instruments for older adults. Med. Sci. Sports Exerc. 33 (2001), 962–970.
Kokkeler, K.J.E., Marijnissen, R.M., Wardenaar, K.J., Rhebergen, D., van den Brink, R.H.S., van der Mast, R.C., Oude Voshaar, R.C., Subtyping late-life depression according to inflammatory and metabolic dysregulation: a prospective study. Psychol. Med., 2020, 1–11.
Kroenke, K., Spitzer, R., Williams, J., The PHQ-9: validity of a brief depression severity measure. Gen. Intern. Med. 16 (2001), 606–613.
Lamers, F., de Jonge, P., Nolen, W.A., Smit, J.H., Zitman, F.G., Beekman, A.T., Penninx, B.W., Identifying depressive subtypes in a large cohort study: results from the Netherlands study of depression and anxiety (NESDA). J. Clin. Psychiatry, 71, 2010, 1582.
Lamers, F., Vogelzangs, N., Merikangas, K., De Jonge, P., Beekman, A., Penninx, B., Evidence for a differential role of HPA-axis function, inflammation and metabolic syndrome in melancholic versus atypical depression. Mol. Psychiatry 18 (2013), 692–699.
Li, W., Schram, M.T., Sorensen, B.M., Agtmaal, M.J.M., Berendschot, T., Webers, C.A.B., Jansen, J.F.A., Backes, W.H., Gronenschild, E., Schalkwijk, C.G., Stehouwer, C.D.A., Houben, A., Microvascular phenotyping in the Maastricht study: design, and Main findings, 2010–2018. Am. J. Epidemiol. 189 (2020), 873–884.
Looman, M., Feskens, E.J., de Rijk, M., Meijboom, S., Biesbroek, S., Temme, E.H., de Vries, J., Geelen, A., Development and evaluation of the dutch healthy diet index 2015. Public Health Nutr. 20 (2017), 2289–2299.
Marazziti, D., Rutigliano, G., Baroni, S., Landi, P., Dell'Osso, L., Metabolic syndrome and major depression. CNS Spectrums 19 (2014), 293–304.
Marijnissen, R., Vogelzangs, N., Mulder, M., Van Den Brink, R., Comijs, H.C., Voshaar, R.O., Metabolic dysregulation and late-life depression: a prospective study. Psychol. Med., 47, 2017, 1041.
Martens, R.J., Kooman, J.P., Stehouwer, C.D., Dagnelie, P.C., van der Kallen, C.J., Koster, A., Kroon, A.A., Leunissen, K.M., Nijpels, G., van der Sande, F.M., Estimated GFR, albuminuria, and cognitive performance: the Maastricht study. Am. J. Kidney Dis. 69 (2017), 179–191.
Nylund, K.L., Asparouhov, T., Muthén, B.O., Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct. Equ. Model. Multidiscip. J. 14 (2007), 535–569.
Pan, A., Keum, N., Okereke, O.I., Sun, Q., Kivimaki, M., Rubin, R.R., Hu, F.B., Bidirectional association between depression and metabolic syndrome: a systematic review and meta-analysis of epidemiological studies. Diabetes Care 35 (2012), 1171–1180.
Penninx, B.W., Depression and cardiovascular disease: epidemiological evidence on their linking mechanisms. Neurosci. Biobehav. Rev. 74 (2017), 277–286.
Pettersson, A., Bostrom, K.B., Gustavsson, P., Ekselius, L., Which instruments to support diagnosis of depression have sufficient accuracy? A systematic review. Nord. J. Psychiatry 69 (2015), 497–508.
Rensma, S.P., van Sloten, T.T., Launer, L.J., Stehouwer, C.D., Cerebral small vessel disease and risk of incident stroke, dementia and depression, and all-cause mortality: a systematic review and meta-analysis. Neurosci. Biobehav. Rev. 90 (2018), 164–173.
Roy, T., Lloyd, C.E., Epidemiology of depression and diabetes: a systematic review. J. Affect. Disord. 142 (2012), S8–S21.
Ryan, C.J., DeVon, H.A., Horne, R., King, K.B., Milner, K., Moser, D.K., Quinn, J.R., Rosenfeld, A., Hwang, S.Y., Zerwic, J.J., Symptom clusters in acute myocardial infarction: a secondary data analysis. Nurs. Res. 56 (2007), 72–81.
Sarris, J., O'Neil, A., Coulson, C.E., Schweitzer, I., Berk, M., Lifestyle medicine for depression. BMC Psychiatry 14 (2014), 1–13.
Schaakxs, R., Comijs, H.C., Lamers, F., Kok, R.M., Beekman, A.T.F., Penninx, B.W.J.H., Associations between age and the course of major depressive disorder: a 2-year longitudinal cohort study. The Lancet Psychiatry 5 (2018), 581–590.
Schram, M.T., Sep, S.J., van der Kallen, C.J., Dagnelie, P.C., Koster, A., Schaper, N., Henry, R.M., Stehouwer, C.D., The Maastricht study: an extensive phenotyping study on determinants of type 2 diabetes, its complications and its comorbidities. Eur. J. Epidemiol. 29 (2014), 439–451.
Scotto Rosato, N., Baer, J.C., Latent class analysis: a method for capturing heterogeneity. Soc. Work. Res. 36 (2012), 61–69.
Sheehan, D.V., Lecrubier, L., Sheehan, K.H., Amorim, P., Janavs, J., Weiller, E., Hergueta, T., Baker, R., Dunbar, G.C., Dunbar, G.C., The Mini-International Neuropsychiatric Interview (MINI): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J. Clin. Psychiatry 59 (1998), 22–33.
Sneed, J.R., Rindskopf, D., Steffens, D.C., Krishnan, K.R.R., Roose, S.P., The vascular depression subtype: evidence of internal validity. Biol. Psychiatry 64 (2008), 491–497.
Tedeschini, E., Levkovitz, Y., Iovieno, N., Ameral, V.E., Nelson, J.C., Papakostas, G.I., Efficacy of antidepressants for late-life depression: a meta-analysis and meta-regression of placebo-controlled randomized trials. J. Clin. Psychiatry 72 (2011), 1660–1668.
Uzun, S., Kozumplik, O., Management of side effects of antidepressants - brief review of recommendations from guidelines for treatment of major depressive disorder. Psychiatr. Danub. 21 (2009), 91–94.
Van Der Elst, W., Van Boxtel, M.P., Van Breukelen, G.J., Jolles, J., Rey's verbal learning test: normative data for 1855 healthy participants aged 24–81 years and the influence of age, sex, education, and mode of presentation. J. Int. Neuropsychol. Soc. 11 (2005), 290–302.
Van der Elst, W., Van Boxtel, M.P., Van Breukelen, G.J., Jolles, J., The concept shifting test: adult normative data. Psychol. Assess., 18, 2006, 424.
Van der Elst, W., van Boxtel, M.P., van Breukelen, G.J., Jolles, J., The letter digit substitution test: normative data for 1,858 healthy participants aged 24–81 from the Maastricht aging study (MAAS): influence of age, education, and sex. J. Clin. Exp. Neuropsychol. 28 (2006), 998–1009.
Van der Elst, W., Van Boxtel, M.P., Van Breukelen, G.J., Jolles, J., The stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment 13 (2006), 62–79.
Veltman, E.M., Lamers, F., Comijs, H.C., de Waal, M.W.M., Stek, M.L., van der Mast, R.C., Rhebergen, D., Depressive subtypes in an elderly cohort identified using latent class analysis. J. Affect. Disord. 218 (2017), 123–130.
Vermunt, J.K., Latent class modeling with covariates: two improved three-step approaches. Polit. Anal. 18 (2010), 450–469.
Vogelzangs, N., Beekman, A.T., Boelhouwer, I.G., Bandinelli, S., Milaneschi, Y., Ferrucci, L., Penninx, B.W., Metabolic depression: a chronic depressive subtype? Findings from the InCHIANTI study of older persons. J. Clin. Psychiatry, 72, 2011, 598.
Wardlaw, J.M., Smith, C., Dichgans, M., Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging. Lancet Neurol. 12 (2013), 483–497.
WHO, Depression and other common mental disorders: Global Health Estimates. 2017, World Health Organization, Geneva, Switzerland.
Young-Hyman, D., De Groot, M., Hill-Briggs, F., Gonzalez, J.S., Hood, K., Peyrot, M., Psychosocial care for people with diabetes: a position statement of the American Diabetes Association. Diabetes Care 39:12 (2016), 2126–2140.
