Multimorbidity patterns in dementia and mild cognitive impairment
DesignThis is a retrospective cohort study. Setting: The study was conducted at the Instituto de Neurociencias de la Junta de Beneficencia de Guayaquil, a primary neuroscience institute in Ecuador.ParticipantsThe study evaluated 425 participants diagnosed with Mild Cognitive Impairment (MCI) or deme...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1432848/full |
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| author | José Alejandro Valdevila Figueira José Alejandro Valdevila Figueira José Alejandro Valdevila Figueira Rocío Valdevila Santiesteban Indira Dayana Carvajal Parra Indira Dayana Carvajal Parra Luis Patricio Benenaula Vargas Luis Patricio Benenaula Vargas Andrés Ramírez Jose E. Leon-Rojas Jose A. Rodas Jose A. Rodas Jose A. Rodas |
| author_facet | José Alejandro Valdevila Figueira José Alejandro Valdevila Figueira José Alejandro Valdevila Figueira Rocío Valdevila Santiesteban Indira Dayana Carvajal Parra Indira Dayana Carvajal Parra Luis Patricio Benenaula Vargas Luis Patricio Benenaula Vargas Andrés Ramírez Jose E. Leon-Rojas Jose A. Rodas Jose A. Rodas Jose A. Rodas |
| author_sort | José Alejandro Valdevila Figueira |
| collection | DOAJ |
| description | DesignThis is a retrospective cohort study. Setting: The study was conducted at the Instituto de Neurociencias de la Junta de Beneficencia de Guayaquil, a primary neuroscience institute in Ecuador.ParticipantsThe study evaluated 425 participants diagnosed with Mild Cognitive Impairment (MCI) or dementia, out of which 272 individuals (mean age = 75 years; 164 female) presenting specific medical conditions were selected for analysis.MeasurementsData were collected on demographics, medical history, and neuropsychological assessment using the Neuropsi scale. Conditions such as Type 2 Diabetes Mellitus, hypertension, obesity, and history of traumatic brain injury were specifically noted.ResultsLatent Class Analysis identified three distinct classes of patients: Unspecified Cognitive Deterioration, Dementia, and MCI. The three-class model provided the best fit, revealing varied morbidity patterns and highlighting the influence of vascular and metabolic conditions on cognitive decline. Notably, similarities in hypertension and diabetes prevalence between Dementia and MCI classes suggested shared risk factors. The study also found no significant age differences between the classes, indicating that age alone might not be the primary determinant in the progression of cognitive decline.ConclusionsThe study underscores the complexity of dementia and MCI in an ageing Ecuadorian population, with vascular health playing a crucial role in cognitive impairment. These findings advocate for a holistic approach in managing dementia and MCI, emphasising the importance of addressing cardiovascular and metabolic health alongside neurocognitive care. The distinct morbidity patterns identified offer insights into tailored intervention strategies, highlighting the need for comprehensive, multidisciplinary care in dementia management. |
| first_indexed | 2025-02-18T07:23:26Z |
| format | Article |
| id | doaj.art-4259aec84f3a4cf281d6d8365a5b7f0d |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2025-02-18T07:23:26Z |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-4259aec84f3a4cf281d6d8365a5b7f0d2024-11-07T06:10:18ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402024-11-011510.3389/fpsyt.2024.14328481432848Multimorbidity patterns in dementia and mild cognitive impairmentJosé Alejandro Valdevila Figueira0José Alejandro Valdevila Figueira1José Alejandro Valdevila Figueira2Rocío Valdevila Santiesteban3Indira Dayana Carvajal Parra4Indira Dayana Carvajal Parra5Luis Patricio Benenaula Vargas6Luis Patricio Benenaula Vargas7Andrés Ramírez8Jose E. Leon-Rojas9Jose A. Rodas10Jose A. Rodas11Jose A. Rodas12Faculty of Marketing and Communication, Universidad Ecotec, Guayaquil, EcuadorResearch Network in Psychology and Psychiatry (GIPSI), Guayaquil, EcuadorInstitute of Neurosciences, Junta de Beneficencia de Guayaquil, Guayaquil, EcuadorResearch Network in Psychology and Psychiatry (GIPSI), Guayaquil, EcuadorResearch Network in Psychology and Psychiatry (GIPSI), Guayaquil, EcuadorInstitute of Neurosciences, Junta de Beneficencia de Guayaquil, Guayaquil, EcuadorFaculty of Marketing and Communication, Universidad Ecotec, Guayaquil, EcuadorResearch Network in Psychology and Psychiatry (GIPSI), Guayaquil, EcuadorCarrera de Psicología Clínica, Universidad Politécnica Salesiana, Cuenca, EcuadorEscuela de Medicina, Universidad de las Américas, Quito, EcuadorResearch Network in Psychology and Psychiatry (GIPSI), Guayaquil, EcuadorEscuela de Psicología, Universidad Espíritu Santo, Samborondón, EcuadorSchool of Psychology, University College Dublin, Dublin, IrelandDesignThis is a retrospective cohort study. Setting: The study was conducted at the Instituto de Neurociencias de la Junta de Beneficencia de Guayaquil, a primary neuroscience institute in Ecuador.ParticipantsThe study evaluated 425 participants diagnosed with Mild Cognitive Impairment (MCI) or dementia, out of which 272 individuals (mean age = 75 years; 164 female) presenting specific medical conditions were selected for analysis.MeasurementsData were collected on demographics, medical history, and neuropsychological assessment using the Neuropsi scale. Conditions such as Type 2 Diabetes Mellitus, hypertension, obesity, and history of traumatic brain injury were specifically noted.ResultsLatent Class Analysis identified three distinct classes of patients: Unspecified Cognitive Deterioration, Dementia, and MCI. The three-class model provided the best fit, revealing varied morbidity patterns and highlighting the influence of vascular and metabolic conditions on cognitive decline. Notably, similarities in hypertension and diabetes prevalence between Dementia and MCI classes suggested shared risk factors. The study also found no significant age differences between the classes, indicating that age alone might not be the primary determinant in the progression of cognitive decline.ConclusionsThe study underscores the complexity of dementia and MCI in an ageing Ecuadorian population, with vascular health playing a crucial role in cognitive impairment. These findings advocate for a holistic approach in managing dementia and MCI, emphasising the importance of addressing cardiovascular and metabolic health alongside neurocognitive care. The distinct morbidity patterns identified offer insights into tailored intervention strategies, highlighting the need for comprehensive, multidisciplinary care in dementia management.https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1432848/fulldementiamild cognitive impairmentmedical comorbiditydiagnosis and classificationlatent class analyses |
| spellingShingle | José Alejandro Valdevila Figueira José Alejandro Valdevila Figueira José Alejandro Valdevila Figueira Rocío Valdevila Santiesteban Indira Dayana Carvajal Parra Indira Dayana Carvajal Parra Luis Patricio Benenaula Vargas Luis Patricio Benenaula Vargas Andrés Ramírez Jose E. Leon-Rojas Jose A. Rodas Jose A. Rodas Jose A. Rodas Multimorbidity patterns in dementia and mild cognitive impairment Frontiers in Psychiatry dementia mild cognitive impairment medical comorbidity diagnosis and classification latent class analyses |
| title | Multimorbidity patterns in dementia and mild cognitive impairment |
| title_full | Multimorbidity patterns in dementia and mild cognitive impairment |
| title_fullStr | Multimorbidity patterns in dementia and mild cognitive impairment |
| title_full_unstemmed | Multimorbidity patterns in dementia and mild cognitive impairment |
| title_short | Multimorbidity patterns in dementia and mild cognitive impairment |
| title_sort | multimorbidity patterns in dementia and mild cognitive impairment |
| topic | dementia mild cognitive impairment medical comorbidity diagnosis and classification latent class analyses |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1432848/full |
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