@article{RN303,
   author = {Geraets, A. F. J. and Schram, M. T. and Jansen, J. F. A. and Backes, W. H. and Schalkwijk, C. G. and Stehouwer, C. D. A. and van Boxtel, M. P. J. and Eussen, Sjpm and Kooman, J. P. and Verhey, F. R. J. and Kohler, S.},
   title = {The cardiometabolic depression subtype and its association with clinical characteristics: The Maastricht Study},
   journal = {J Affect Disord},
   note = {Geraets, Anouk F J
Schram, Miranda T
Jansen, Jacobus F A
Backes, Walter H
Schalkwijk, Casper G
Stehouwer, Coen D A
van Boxtel, Martin P J
Eussen, Simone J P M
Kooman, Jeroen P
Verhey, Frans R J
Kohler, Sebastian
eng
Netherlands
J Affect Disord. 2022 Jun 29. pii: S0165-0327(22)00705-4. doi: 10.1016/j.jad.2022.06.045.},
   abstract = {BACKGROUND: Individuals with depression often show an adverse cardiometabolic risk profile and might represent a distinct depression subtype. The aim of this study was to investigate whether a cardiometabolic depression subtype could be identified and to investigate its association with demographics and clinical characteristics (severity, symptomatology, anti-depressant use, persistence and cognitive functioning). METHODS: We used data from The Maastricht Study, a population-based cohort in the southern part of The Netherlands. A total of 248 participants with major depressive disorder were included (mean [SD] age, 58.8+/-8.5years; 121 [48.8%] were men). Major depressive disorder was assessed at baseline by the Mini-International Neuropsychiatric Interview. Cardiometabolic risk factors were defined as indicators of the metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III guidelines. We measured severity and persistence of depressive symptoms by use of the 9-item Patient Health Questionnaire. RESULTS: Latent class analysis resulted in two subtypes, one with cardiometabolic depression (n=145) and another with non-cardiometabolic depression (n=103). The cardiometabolic depression subtype was characterized by being male, low education, more severe depressive symptoms, less symptoms of depressed mood and more symptoms of loss of energy, more use of antidepressant medication and lower cognitive functioning. LIMITATIONS: No conclusions can be made about causality. CONCLUSIONS: Latent class analysis suggested a distinct cardiometabolic depression subtype. Participants with cardiometabolic depression differed from participants with non-cardiometabolic depression in terms of demographics and clinical characteristics. The existence of a cardiometabolic depression subtype may indicate the need for prevention and treatment targeting cardiometabolic risk management.},
   keywords = {Cardiometabolic abnormalities
Depression
Epidemiology
Latent class analysis
Major depressive disorder
Metabolic syndrome
to declare.},
   ISSN = {1573-2517 (Electronic)
0165-0327 (Linking)},
   DOI = {10.1016/j.jad.2022.06.045},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/35779670},
   year = {2022},
   type = {Journal Article}
}

{"_id":"TkW9oYwGhSPk32d7D","bibbaseid":"geraets-schram-jansen-backes-schalkwijk-stehouwer-vanboxtel-eussen-etal-thecardiometabolicdepressionsubtypeanditsassociationwithclinicalcharacteristicsthemaastrichtstudy-2022","author_short":["Geraets, A. F. J.","Schram, M. T.","Jansen, J. F. A.","Backes, W. H.","Schalkwijk, C. G.","Stehouwer, C. D. A.","van Boxtel, M. P. J.","Eussen, S.","Kooman, J. P.","Verhey, F. R. J.","Kohler, S."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Geraets"],"firstnames":["A.","F.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Schram"],"firstnames":["M.","T."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]},{"propositions":[],"lastnames":["Schalkwijk"],"firstnames":["C.","G."],"suffixes":[]},{"propositions":[],"lastnames":["Stehouwer"],"firstnames":["C.","D.","A."],"suffixes":[]},{"propositions":["van"],"lastnames":["Boxtel"],"firstnames":["M.","P.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Eussen"],"firstnames":["Sjpm"],"suffixes":[]},{"propositions":[],"lastnames":["Kooman"],"firstnames":["J.","P."],"suffixes":[]},{"propositions":[],"lastnames":["Verhey"],"firstnames":["F.","R.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Kohler"],"firstnames":["S."],"suffixes":[]}],"title":"The cardiometabolic depression subtype and its association with clinical characteristics: The Maastricht Study","journal":"J Affect Disord","note":"Geraets, Anouk F J Schram, Miranda T Jansen, Jacobus F A Backes, Walter H Schalkwijk, Casper G Stehouwer, Coen D A van Boxtel, Martin P J Eussen, Simone J P M Kooman, Jeroen P Verhey, Frans R J Kohler, Sebastian eng Netherlands J Affect Disord. 2022 Jun 29. pii: S0165-0327(22)00705-4. doi: 10.1016/j.jad.2022.06.045.","abstract":"BACKGROUND: Individuals with depression often show an adverse cardiometabolic risk profile and might represent a distinct depression subtype. The aim of this study was to investigate whether a cardiometabolic depression subtype could be identified and to investigate its association with demographics and clinical characteristics (severity, symptomatology, anti-depressant use, persistence and cognitive functioning). METHODS: We used data from The Maastricht Study, a population-based cohort in the southern part of The Netherlands. A total of 248 participants with major depressive disorder were included (mean [SD] age, 58.8+/-8.5years; 121 [48.8%] were men). Major depressive disorder was assessed at baseline by the Mini-International Neuropsychiatric Interview. Cardiometabolic risk factors were defined as indicators of the metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III guidelines. We measured severity and persistence of depressive symptoms by use of the 9-item Patient Health Questionnaire. RESULTS: Latent class analysis resulted in two subtypes, one with cardiometabolic depression (n=145) and another with non-cardiometabolic depression (n=103). The cardiometabolic depression subtype was characterized by being male, low education, more severe depressive symptoms, less symptoms of depressed mood and more symptoms of loss of energy, more use of antidepressant medication and lower cognitive functioning. LIMITATIONS: No conclusions can be made about causality. CONCLUSIONS: Latent class analysis suggested a distinct cardiometabolic depression subtype. Participants with cardiometabolic depression differed from participants with non-cardiometabolic depression in terms of demographics and clinical characteristics. The existence of a cardiometabolic depression subtype may indicate the need for prevention and treatment targeting cardiometabolic risk management.","keywords":"Cardiometabolic abnormalities Depression Epidemiology Latent class analysis Major depressive disorder Metabolic syndrome to declare.","issn":"1573-2517 (Electronic) 0165-0327 (Linking)","doi":"10.1016/j.jad.2022.06.045","url":"https://www.ncbi.nlm.nih.gov/pubmed/35779670","year":"2022","bibtex":"@article{RN303,\n author = {Geraets, A. F. J. and Schram, M. T. and Jansen, J. F. A. and Backes, W. H. and Schalkwijk, C. G. and Stehouwer, C. D. A. and van Boxtel, M. P. J. and Eussen, Sjpm and Kooman, J. P. and Verhey, F. R. J. and Kohler, S.},\n title = {The cardiometabolic depression subtype and its association with clinical characteristics: The Maastricht Study},\n journal = {J Affect Disord},\n note = {Geraets, Anouk F J\nSchram, Miranda T\nJansen, Jacobus F A\nBackes, Walter H\nSchalkwijk, Casper G\nStehouwer, Coen D A\nvan Boxtel, Martin P J\nEussen, Simone J P M\nKooman, Jeroen P\nVerhey, Frans R J\nKohler, Sebastian\neng\nNetherlands\nJ Affect Disord. 2022 Jun 29. pii: S0165-0327(22)00705-4. doi: 10.1016/j.jad.2022.06.045.},\n abstract = {BACKGROUND: Individuals with depression often show an adverse cardiometabolic risk profile and might represent a distinct depression subtype. The aim of this study was to investigate whether a cardiometabolic depression subtype could be identified and to investigate its association with demographics and clinical characteristics (severity, symptomatology, anti-depressant use, persistence and cognitive functioning). METHODS: We used data from The Maastricht Study, a population-based cohort in the southern part of The Netherlands. A total of 248 participants with major depressive disorder were included (mean [SD] age, 58.8+/-8.5years; 121 [48.8%] were men). Major depressive disorder was assessed at baseline by the Mini-International Neuropsychiatric Interview. Cardiometabolic risk factors were defined as indicators of the metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III guidelines. We measured severity and persistence of depressive symptoms by use of the 9-item Patient Health Questionnaire. RESULTS: Latent class analysis resulted in two subtypes, one with cardiometabolic depression (n=145) and another with non-cardiometabolic depression (n=103). The cardiometabolic depression subtype was characterized by being male, low education, more severe depressive symptoms, less symptoms of depressed mood and more symptoms of loss of energy, more use of antidepressant medication and lower cognitive functioning. LIMITATIONS: No conclusions can be made about causality. CONCLUSIONS: Latent class analysis suggested a distinct cardiometabolic depression subtype. Participants with cardiometabolic depression differed from participants with non-cardiometabolic depression in terms of demographics and clinical characteristics. The existence of a cardiometabolic depression subtype may indicate the need for prevention and treatment targeting cardiometabolic risk management.},\n keywords = {Cardiometabolic abnormalities\nDepression\nEpidemiology\nLatent class analysis\nMajor depressive disorder\nMetabolic syndrome\nto declare.},\n ISSN = {1573-2517 (Electronic)\n0165-0327 (Linking)},\n DOI = {10.1016/j.jad.2022.06.045},\n url = {https://www.ncbi.nlm.nih.gov/pubmed/35779670},\n year = {2022},\n type = {Journal Article}\n}\n\n","author_short":["Geraets, A. F. J.","Schram, M. T.","Jansen, J. F. A.","Backes, W. H.","Schalkwijk, C. G.","Stehouwer, C. D. A.","van Boxtel, M. P. J.","Eussen, S.","Kooman, J. P.","Verhey, F. R. J.","Kohler, S."],"key":"RN303","id":"RN303","bibbaseid":"geraets-schram-jansen-backes-schalkwijk-stehouwer-vanboxtel-eussen-etal-thecardiometabolicdepressionsubtypeanditsassociationwithclinicalcharacteristicsthemaastrichtstudy-2022","role":"author","urls":{"Paper":"https://www.ncbi.nlm.nih.gov/pubmed/35779670"},"keyword":["Cardiometabolic abnormalities Depression Epidemiology Latent class analysis Major depressive disorder Metabolic syndrome to declare."],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","dataSources":["TCkfRWJAZvbLAZi29"],"keywords":["cardiometabolic abnormalities depression epidemiology latent class analysis major depressive disorder metabolic syndrome to declare."],"search_terms":["cardiometabolic","depression","subtype","association","clinical","characteristics","maastricht","study","geraets","schram","jansen","backes","schalkwijk","stehouwer","van boxtel","eussen","kooman","verhey","kohler"],"title":"The cardiometabolic depression subtype and its association with clinical characteristics: The Maastricht Study","year":2022}