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Abstract
The prevalence of anxiety and depression in patients with chronic diseases is of concern, since there is evidence that it increases the severity of conditions such as diabetes and autoimmune diseases and is associated with a lower response to treatments, although unfortunately there are no clear studies that mention prevalence data. For these reasons, anxiety and depression were evaluated in people from Querétaro with diagnosed type 2 Diabetes (T2D) and Multiple Sclerosis (MS). Anxiety and symptomatic depression were evaluated using Beck Anxiety Inventory and Beck Depression Inventory in 20 patients. Their clinical and blood biochemical markers were evaluated in order to describe their health status, as well as their body fat percentage. In people with TD2, a low frequency of anxiety and depression symptoms was found, unlike people with MS, where more anxiety symptoms were detected. Regarding biochemical variables, significantly elevated levels of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) were found in people with MS, which could be associated with various factors such as diet, that could be studied in future research, meanwhile very low density lipoprotein (VLDL) was higher in TD2. This indicates an area of opportunity and the need for these patients to receive timely and effective psychological support and nutritional guidance, as well as strategies that will help them to improve their quality of life.
References
Alacacioglu, A., Tarhan, O., Alacacioglu, I., Dirican, A., & Yilmaz, U. (2013). Depression and anxiety in cancer patients and their relatives. J BUON, 18(3), 767-774.
https://pubmed.ncbi.nlm.nih.gov/24065497
Amato, M. P., & Ponziani, G. (2000). A prospective study on the prognosis of multiple sclerosis. Neurological Sciences, 21(0), S831-S838.
https://doi.org/10.1007/s100720070021
Asociación Americana de Psiquiatría. (2014). Manual diagnóstico y estadístico de los trastornos mentales (DSM-5®) (5.aed.)
Ayik, D. B., & Büyükbayram, Z. (2022). The Identification of the Relationship Between Oncology Patients’ Care Dependency and Anxiety Levels. Journal Of Basic And Clinical Health Sciences, 6(2), 385-392.
https://doi.org/10.30621/jbachs.1004095
Banegas-Cardero, A., & Sierra-Calzado, L. (2017). Variables bioquímicas e inmunológicas en pacientes con estrés agudo o crónico. MEDISAN, 21(8), 1008-1017.
http://scielo.sld.cu/pdf/san/v21n8/san08218.pdf
Basiri, R., Seidu, B., & Rudich, M. (2023). Exploring the Interrelationships between Diabetes, Nutrition, Anxiety, and Depression: Implications for Treatment and Prevention Strategies. Nutrients, 15(19).
https://doi.org/10.3390/nu15194226
Basto-Abreu, A., López-Olmedo, N., Rojas-Martínez, R., Aguilar-Salinas, C. A., Moreno-Banda, G. L., Carnalla, M., Rivera, J. Á., Romero-Martínez, M., Barquera, S., & Barrientos-Gutiérrez, T. (2023). Prevalencia de prediabetes y diabetes en México: Ensanut 2022.
Salud Publica de México, 65, s163-s168.
https://doi.org/10.21149/14832
Bazargan-Hejazi, S., Dehghan, K., Edwards, C., Mohammadi, N., Attar, S., Sahraian, M. A., & Eskandarieh, S. (2020). The health burden of non-communicable neurological disorders in the USA between 1990 and 2017. Brain Communications, 2(2).
https://doi.org/10.1093/braincomms/fcaa097
Benedict, R. H. B., Amato, M. P., DeLuca, J., & Geurts, J. J. G (2020). Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues.
Lancet Neurology. 19(10), 860-871.
https://doi.org/10.1016/s1474-4422(20)30277-5
Bobo, W. V., Grossardt, B. R., Virani, S., St Sauver, J. L., Boyd, C. M., & Rocca, W. A. (2022). Association of Depression and Anxiety With the Accumulation of Chronic Conditions. JAMA Network Open, 5(5).
https://doi.org/10.1001/jamanetworkopen.2022.9817
Bragagnolo, J., Frechtel, G., & Mazza, C. (2022). Diabetes y Obesidad. Revista de la Sociedad Argentina de diabetes, 56(1), 1-4.
http://www.scielo.org.ar/scielo.php?script=sci_arttext&pi-d=S2346-94202022000100001&lng=es&tlng=e
Brown, R. B. (2023). Multiple Sclerosis and Sodium Toxicity: Controversy and Future Directions for Low-Salt Interventions. Sclerosis, 1(1), 9-21.
https://doi.org/10.3390/sclerosis1010003
Cheng, Y. J., Kanaya, A. M., Araneta, M. R. G., Saydah, S. H., Kahn, H. S., Gregg, E. W., Fujimoto, W. Y., & Imperatore, G. (2019). Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016. JAMA, 322
(24), 2389-2398.
https://doi.org/10.1001/jama.2019.19365
Codarri, L., Fontana, A., & Becher, B. (2010). Cytokine networks in multiple sclerosis: lost in translation. Current Opinion in Neurology, 23 (3), 205–211.
https://doi.org/10.1097/wco.0b013e3283391feb
Confavreux, C., Vukusic, S., & Adeleine, P. (2003). Early clinical predictors and progression of irreversible disability in multiple sclerosis: anamnesic process.
Brain, 126(4), 770-782.
https://doi.org/10.1093/brain/awg081
Correa, E. M., Paredes, V. R. O., & Martínez, B. M. (2016). Prevalence of multiple sclerosis in Latin America and its relationship with European migration. Multiple Sclerosis Journal - Experimental, Translational and Clinical, 2.
https://doi.org/10.1177/2055217316666407
Darwish, L., Beroncal, E., Sison, M. V., & Swardfager, W. (2018). Depression in people with type 2 diabetes: current perspectives. Diabetes, Metabolic Syndrome And Obesity: Targets And Therapy, 11, 333-343.
https://doi.org/10.2147/dmso.s106797
Feinstein, A. (2004). The neuropsychiatry of multiple sclerosis. Canadian Journal of Psychiatry, 49 (3), 157-163.
https://doi.org/10.1177/070674370404900302
Filippi, M., Bar-Or, A., Piehl, F., Preziosa, P., Solari, A., Vukusic, S., & Rocca, M. A. (2018). Multiple sclerosis.
Nature Reviews Disease Primers, 4 (1).
https://doi.org/10.1038/s41572-018-0041-48
Hamasaki, H. (2016). Daily physical activity and type 2 diabetes: A review. World Journal Of Diabetes, 7 (12), 243-251.
https://doi.org/10.4239/wjd.v7.i12.243
Hanna, M., & Strober, L. B. (2020). Anxiety and depression in Multiple Sclerosis (MS): Antecedents, consequences, and differential impact on well-being and quality of life. Multiple Sclerosis and Related Disorders, 44. https://doi.org/10.1016/j.msard.2020.102261
Hernández-Ledesma, A. L. (2017). Niveles de vitamina D y su asociación con factores inflamatorios en personas con esclerosis múltiple [Tesis de maestría]. Universidad Autónoma de Querétaro.
Hernández-Ledesma, A. L., Rodríguez-Méndez, A. J., Gallardo-Vidal, L. S., García-Gasca, T., Alatorre-Cruz, J. M., García-Solís, P., Reyes, J. L., & Solís-Sáinz, J. C. (2020). Lipid profile: causal relationship on cognitive performance in multiple sclerosis? Molecular Biology
Reports, 47 (12), 9667-9676.
https://doi.org/10.1007/s11033-020-06011-3
Hernández-Ledesma, A. L., Rodríguez-Méndez, A. J., Gallardo-Vidal, L. S., Trejo-Cruz, G., García-Solís, P., & Dávila-Esquivel, F. J. (2018). Coping strategies and quality of life in Mexican multiple sclerosis patients: Physical, psychological and social factors relationship. Multiple Sclerosis and Related Disorders, 25, 122-127.
https://doi.org/10.1016/j.msard.2018.06.001
Hernández-Ledesma, A. L., Rodríguez-Méndez, A. J., Gallardo-Vidal, L. S., Robles-Osorio, M. L., Villagrán-Herrera, M. E., Martínez-Peña, M. G., & García-Gasca, T. (2021). Vitamin D status, proinflammatory cytokines and bone mineral density in Mexican people with multiple
sclerosis. Multiple Sclerosis and Related Disorders, 56.
https://doi.org/10.1016/j.msard.2021.103265
Hidalgo-Villavicencio, G. A., & Cañarte-Vélez, J. C. (2022). Dislipidemia asociado a diabetes mellitus en adultos con y sin sobrepeso de la ciudad de Jipijapa. Polo del conocimiento, 7 (3).
https://doi.org/10.23857/pc.v7i3.3779
Honer, W. G., Hurwitz, T., Li, D. K. B., Palmer, M., & Paty, D. W. (1987). Temporal lobe involvement in multiple sclerosis patients with psychiatric disorders. Archives of Neurology, 44 (2), 187–190.
https://doi.org/10.1001/archneur.1987.00520140053017
Instituto Nacional de Estadística y Geografía (INEGI) (2021a). Estadísticas a propósito del día mundial de la diabetes (14 de noviembre) [Comunicado de prensa].
https://www.inegi.org.mx/contenidos/saladeprensa/aproposito/2021/EAP_Diabetes2021.pdf
Instituto Nacional de Estadística y Geografía (INEGI) (2021b). Presenta INEGI resultados de la Primera Encuesta Nacional de Bienestar Autorreportado (ENBIARE) 2021 [Comunicado de prensa].
https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2021/EstSociodemo/ENBIARE_2021.pdf
Instituto Nacional de Estadística y Geografía (INEGI) (2023). Encuesta Nacional sobre salud y envejecimiento en México (ENASEM) y evaluación cognitiva [Comunicado de prensa].
https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2023/ENASEM/ENASEM_21.pdf
Jerez-Fernández, C. I., Medina-Pereira, Y. A., Ortíz-Chang, A. S., González-Olmedo, S. I., & Aguirre-Gaete, M. C. (2022). Fisiopatología y alteraciones clínicas de la diabetes mellitus tipo 2. Nova, 20 (38), 65-103.
https://doi.org/10.22490/24629448.6184
Jurado, S., Villegas, M. E., Méndez, L., Rodríguez, F. E. G., Loperena, V., & Varela, R. (1998). La estandarización del inventario de depresión de Beck para los residentes de la ciudad de México. Salud Mental, 21 (3), 26-31.
http://revistasaludmental.com/index.php/salud_mental/article/download/706/705
Khan, M. A. B., Hashim, M. J., King, J. K., Govender, R. D., Mustafa, H., & Kaabi, J. A. (2019). Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trends. Journal of Epidemiology and Global Health, 10
(1), 107-111. https://doi.org/10.2991/jegh.k.191028.001
Klein, S., Gastaldelli, A., Yki-Järvinen, H., & Scherer, P. E. (2022). Why does obesity cause diabetes? Cell metabolism, 34 (1), 11-20.
https://doi.org/10.1016/j.cmet.2021.12.012
Kris-Etherton, P. M., Petersen, K. S., Hibbeln, J. R., Hurley, D., Kolick, V., Peoples, S., Rodriguez, N., & Woodward-Lopez, G. (2020). Nutrition and behavioral health disorders: depression and anxiety. Nutrition Reviews,
(3), 247–260.
https://doi.org/10.1093/nutrit/nuaa025
Laakso, M., & Fernandes-Silva, L. (2022). Genetics of Type 2 Diabetes: Past, Present, and Future. Nutrients, 14 (15).
https://doi.org/10.3390/nu14153201
Liu, X., Haagsma, J. A., Sijbrands, E., Buijks, H., Boogaard, L., Mackebach, J. P., Erasmus, V., & Polinder, S. (2020). Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life.
Scientific Reports, 10 (1).
https://doi.org/10.1038/s41598-020-57647-x
Montoya Zanora, P., & Rodríguez Castañeda, F. (2022). Enfermedades neurodegenerativas en adultos mayores: retos en el diagnóstico y tratamiento.
IBN SINA, 13 (2), 1-9.
https://doi.org/10.48777/ibnsina.v13i2.1311
Ong, K. L., Stafford, L., McLaughlin, S., Boyko, E. J., Vollset, S. E., Smith, A. E., Dalton, B., Duprey, J., Cruz, J. A., Hagins, H., Lindstedt, P. A., Aali, A., Abate, Y. H., Abate, M. D., Abbasian, M., Abbasi-Kangevari, Z., Abbasi-Kangevari, M., ElHafeez, S. A., Abd-Rabu, R., . . . Vos, T. (2023). Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 402 , 203-234.
https://doi.org/10.1016/s0140-6736(23)01301-6
Piovani, D., Nikolopoulos, G. K., & Bonovas, S. (2022). Non-Communicable Diseases: The Invisible Epidemic.
Journal Of Clinical Medicine, 11 (19).
https://doi.org/10.3390/jcm11195939
Qian, Z., Li, Y., Guan, Z., Guo, P., Zheng, K., Du, Y., Yin, S., Chen, B., Wang, H., Jiang, J., Qiu, K., & Zhang, M. (2023). Global, regional, and national burden of multiple sclerosis from 1990 to 2019: Findings of global burden of disease study 2019. Frontiers in Public Health, 11.
https://doi.org/10.3389/fpubh.2023.1073278
Rivera-Villaseñor, N. A. (2018). Deterioro cognitivo en pacientes con diabetes mellitus tipo 2 y su asociación con niveles de IL-1 β y adiponectina. [Tesis de maestría]. Universidad Autónoma de Querétaro.
Robles, R., Varela, R., Jurado, S., & Páez, F. (2001). Versión mexicana del inventario de ansiedad de Beck: propiedades psicométricas. Revista Mexicana de Psicologia, 18 (2), 211-218.
Rocca, M. A., Amato, M. P., De Stefano, N., Enzinger, C., Geurts, J. J., Penner, I. K., Rovira A., Sumowski, J. F., Valsasina, P., & Filippi, M. (2015). Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis. The Lancet Neurology, 14 (3), 302-317.
https://doi.org/10.1016/S1474-4422(14)70250-9
Sánchez-Sierra, L. E., Gómez-Medina, O., Hernández, M., Díaz-Arrazola, N., Mejía-Escobar, C. K., Pastrana, M. A., Molina, A. M., Aguilar-Robleto, R. E., Ramos-Ortega, A. E., & Mejía, F. M. (2020). Prevalencia y Caracterización de Trastornos de Ansiedad y Depresión en pacientes con Diabetes Mellitus tipo 2, Honduras. Revista Hispanoamericana de Ciencias de la Salud, 6 (2), 42-52.
https://doi.org/10.56239/rhcs.2020.62.426
Sanz, J., Perdigón, A. L., & Vázquez, C. (2003). Adaptación española del Inventario para la Depresión de Beck-II (BDI-II): 2. Propiedades psicométricas en población general. Clínica y Salud, 14 (3), 249-280.
https://journals.copmadrid.org/clysa/archivos/86402.pdf
Sarti-Guitiérrez, E. J., Medina-Mora, M. E., & Real-Quintanar, T. (2015). La depresión y otros trastornos psiquiátricos . Intersistemas.
https://www.anmm.org.mx/publicaciones/CAnivANM150/L27_ANM_DEPRESION.pdf
Shnek, Z. M., Foley, F. W., LaRocca, N. G., Smith, C. R., & Halper, J. (1995). Psychological predictors of depression in multiple sclerosis. Journal of Neurologic Rehabilitation, 9 (1), 15-23.
https://doi.org/10.1177/154596839500900103
Sedighi, S., Gholizadeh, O., Yasamineh, S., Akbarzadeh, S., Amini, P., Favakehi, P., Afkhami, H., Firouzi-Amandi, A., Pahlevan, D., Eslami, M., Yousefi, B., Poortahmasebi, V., & Dadashpour, M. (2022). Comprehensive Investigations Relationship Between Viral Infections and Multiple Sclerosis Pathogenesis. Current Microbiology, 80 (1).
https://doi.org/10.1007/s00284-022-03112-z
Sippel, A., Riemann-Lorenz, K., Scheiderbauer, J., Kleiter, I., Morrison, R., Kofahl, C., & Heesen, C. (2021). Patients experiences with multiple sclerosis disease-modifying therapies in daily life – a qualitative interview study.
BMC Health Services Research, 21 (1).
https://doi.org/10.1186/s12913-021-07012-z
Subba, R., Sandhir, R., Singh, S. P., Mallick, B. N., & Mondal, A. C. (2021). Pathophysiology linking depression and type 2 diabetes: Psychotherapy, physical exercise, and fecal microbiome transplantation as damage control. European Journal of Neuroscience, 53 (8), 2870-2900. https://doi.org/10.1111/ejn.15136
Sun, H., Saeedi, P., Karuranga, S., Pinkepank, M., Ogurtsova, K., Duncan, B. B., Stein, C., Basit, A., Chan, J. C., Mbanya, J. C., Pavkov, M. E.,
Ramachandaran, A., Wild, S. H., James, S., Herman, W. H., Zhang, P., Bommer, C., Kuo, S., Boyko, E. J., & Magliano, D. J. (2022). IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Research and Clinical Practice, 183.
https://doi.org/10.1016/j.diabres.2021.109119
Tovilla-Zárate, C. A., Juárez-Rojop, I., Peralta-Jimenez, Y., Jiménez, M. A., Vázquez, S. G., Bermúdez-Ocaña, D., Ramón-Frías, T., Genis-Mendoza, A. D., Pool-García, S., & López-Narváez, L. (2012). Prevalence of Anxiety and Depression among Outpatients with Type 2 Diabetes in the Mexican Population. PLOS ONE, 7 (5).
https://doi.org/10.1371/journal.pone.0036887
Velázquez-Quintana, M., Macías-Islas, M. A., Rivera-Olmos, V., & Lozano-Zárate, J. (2003). Esclerosis Múltiple en México. Un estudio Multicéntrico. Revista de Neurologia, 36 (11), 1019-1022.
https://doi.org/10.33588/rn.3611.2002610
Velázquez, M., Rivas, V., Sanín, L. H., Trujillo, M., Castillo, R., Flores, J., & Blaisdell, C. (2023). Epidemiology of demyelinating diseases in Mexico: A registry-based study. Multiple Sclerosis and Related Disorders, 75.
https://doi.org/10.1016/j.msard.2023.104753
Vieira, G. (2022). Ansiedad en personas con diabetes tipo 1 y tipo 2 . Beyond Type 2. https://es.beyondtype2.org/investigacion-so-bre-ansiedad-en-personas-con-diabetes-tipo-1-y-tipo-2/
World Health Organization (WHO). (2023).
Depresión. https://www.who.int/es/news-room/fact-sheets/detail/depression
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