Factors associated with depressive disorder among Peruvian older adults

Authors

  • Juan Carlos Torres Mantilla Ministerio de Educación, Dirección Regional de Educación de Lima Metropolitana (DRELM), Unidad de Salud del Instituto Superior Tecnológico Público José Pardo. Lima, Perú. https://orcid.org/0000-0001-9677-9124
  • José Diego Torres Mantilla Ministerio de Salud, Hospital Carlos Lanfranco La Hoz, Departamento de Odontoestomatología. Lima, Perú. https://orcid.org/0000-0003-4733-3489

DOI:

https://doi.org/10.24265/horizmed.2023.v23n3.05

Keywords:

depression, aged, mental health, public health, Peru

Abstract

Objective: To determine the prevalence and factors associated with depressive disorder among Peruvian older adults over 60 years of age.
Materials and methods: An observational, analytical and cross-sectional study was conducted based on a secondary analysis of the 2019 Encuesta Demográfica y de Salud Familiar (ENDES - National Demographic and Family Health Survey),
administered at national level by Instituto Nacional de Estadística e Informática del Perú (INEI - National Institute of Statistics and Informatics of Peru). The sample consisted of 4,174 older adults. The main variable was suffering from a depressive disorder (depressed/not depressed) and the independent variables were age, sex, educational level, wealth
quintile (classified into five levels of wealth), area of residence (classified as urban/rural), geographic domain (classified as Lima Metropolitan Area, the rest of the coast, the highlands and the jungle), health coverage (classified as insured/uninsured), alcohol consumption (yes/no), smoking (yes/no) and presence of a disability (yes/no). Analyses of absolute
and relative frequencies, differences in proportions and a multivariate analysis using generalized linear models (GLM) were performed.
Results: The prevalence of depressive disorder and disability accounted for 13.18 % and 7.86 %, respectively. Older males were less likely to suffer from a depressive disorder (PRa = 0.602; 95 % CI: 0.513-0.706) than females, and the group over
85 years of age showed a higher risk than those from 60 to 74 years (PRa = 1.664; 95 % CI: 1.304-2.124). Besides, not presenting a disability behaved as a preventive factor (PRa = 0.542; 95 % CI: 0.440-0.668), while a higher educational level and wealth quintile, starting from the “Middle” quintile, were protective factors when taking the categories "No education" and "The poorest" as reference, respectively (p < 0.005). Conclusions: Belonging to the group over 85 years of age, being a female, being in lower wealth quintiles, suffering from a disability and having a lower educational level were risk factors for depressive disorder among Peruvians older adults. 

Downloads

Download data is not yet available.

References

World Health Organization. Ageing and health. WHO; 2022. Disponible en: https://www.who.int/news-room/fact-sheets/detail/ageingand-health

Huenchuan S. Envejecimiento, personas mayores y Agenda 2030 para el Desarrollo Sostenible: perspectiva regional y de derechos humanos [Internet]. CEPAL; 2018. Disponible en: https://repositorio.cepal.org/bitstream/handle/11362/44369/1/S1800629_es.pdf

Aranco N, Stampini M, Ibarraran P, Medellin N. Panorama de envejecimiento y dependencia en America Latina y el Caribe [Internet]. Banco Interamericano de Desarrollo; 2018. Disponible en: https://publications.iadb.org/publications/spanish/document/Panorama-de-envejecimiento-y-dependencia-en-America-Latina-yel-Caribe.pdf

Instituto Nacional de Estadistica e Informatica. Estado de la Poblacion Peruana 2020 [Internet]. INEI; 2020. Disponible en: https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1743/Libro.pdf

Cho SM, Saw YM, Saw TN, Than TM, Khaing M, Khine AT, et al. Prevalence and risk factors of anxiety and depression among the community-dwelling elderly in Nay Pyi Taw Union Territory, Myanmar. Sci Rep [Internet]. 2021;11(1):9763.

Castillo-Martell H, Cutipe-Cardenas Y. Implementacion, resultados iniciales y sostenibilidad de la reforma de servicios de salud mental en el Peru, 2013-2018. Rev Peru Med Exp Salud Publica [Internet]. 2019;36(2):326-33.

Del Carmen Sara JC. Lineamientos y estrategias para mejorar la calidad de la atencion en los servicios de salud. Rev Peru Med Exp Salud Publica [Internet]. 2019;36(2):288-95.

Calderon D. Epidemiologia de la depresion en el adulto mayor. Rev Medica Hered [Internet]. 2018;29(3):182-91.

Martina M, Ara MA, Gutierrez C, Nolberto V, Piscoya J. Depresion y factores asociados en la poblacion peruana adulta mayor segun la ENDES 2014-2015. An Fac med [Internet]. 2017;78(4):393-7.

Barboza JJ, Soriano-Moreno AN, Copez-Lonzoy A, Pacheco-Mendoza J, Toro-Huamanchumo CJ. Disability and severe depression among Peruvian older adults: Analysis of the Peru Demographic and Family Health Survey, ENDES 2017. BMC Psychiatry [Internet]. 2020;20(1):253.

Noh J-W, Kwon YD, Park J, Oh I-H, Kim J. Relationship between physical disability and depression by gender: A panel regression model. PLoS One [Internet]. 2016;11(11):e0166238.

Wu Q, Feng J, Pan C-W. Risk factors for depression in the elderly: An umbrella review of published meta-analyses and systematic reviews. J Affect Disord [Internet]. 2022;307:37-45.

Kiely KM, Brady B, Byles J. Gender, mental health and ageing. Maturitas [Internet]. 2019;129:76-84.

Escobar Bravo MA, Botigue Satorra T, Jurschik Gimenez P, Nuin Orrio C, Blanco Blanco J. Sintomatologia depresiva en ancianos. La influencia del genero. Rev Esp Geriatr Gerontol [Internet]. 2013;48(2):59-64.

Richardson RA, Keyes KM, Medina JT, Calvo E. Sociodemographic inequalities in depression among older adults: cross-sectional evidence from 18 countries. Lancet Psychiatry [Internet]. 2020;7(8):673-81.

Freeman A, Tyrovolas S, Koyanagi A, Chatterji S, Leonardi M, AyusoMateos JL, et al. The role of socio-economic status in depression: results from the COURAGE (aging survey in Europe). BMC Public Health [Internet]. 2016;16(1):1098.

Smith ML, Kakuhikire B, Baguma C, Rasmussen JD, Perkins JM, Cooper-Vince C, et al. Relative wealth, subjective social status, and their associations with depression: Cross-sectional, population-based study in rural Uganda. SSM Popul Heal [Internet]. 2019;8(100448):100448.

Ettman CK, Adam GP, Clark MA, Wilson IB, Vivier PM, Galea S. Wealth and depression: A scoping review. Brain Behav [Internet]. 2022;12(3):e2486.

Liu J, Yan F, Ma X, Guo H-L, Tang Y-L, Rakofsky JJ, et al. Prevalence of major depressive disorder and socio-demographic correlates: Results of a representative household epidemiological survey in Beijing, China. J Affect Disord [Internet]. 2015;179:74-81.

Booij SH, Wigman JTW, Jacobs N, Thiery E, Derom C, Wichers M, et al. Cortisol dynamics in depression: Application of a continuoustime process model. Psychoneuroendocrinology [Internet]. 2020;115(104598):104598.

De La Guardia Gutierrez MA, Ruvalcaba Ledesma JC. La salud y sus determinantes, promocion de la salud y educacion sanitaria. JONNPR [Internet]. 2020;5(1):81-90. ]

Consejo Nacional para la Integracion de la Persona con Discapacidad CONADIS. Compendio Estadistico Multisectorial 2019 ï¿1/2Aproximaciones sobre la discapacidad en el Peruï¿1/2 [Internet]. Ministerio de la Mujer y Poblaciones Vulnerables; 2019. Disponible en: https://conadisperu.gob.pe/observatorio/wp-content/uploads/2020/11/CompendioEstadistico-Multisectorial-2019.pdf

Organizacion Panamericana de la Salud. Peru La carga de los trastornos mentales en la Region de las Americas: Perfil del pais [Internet]. OPS; 2018. Disponible en: https://www.paho.org/sites/default/files/2020-09/MentalHealth-profile-2020%20Peru_esp.pdf

Organizacion Panamericana de la Salud. La carga de los trastornos mentales en la Region de las Americas, 2018 [Internet]. OPS; 2018. Disponible en: https://iris.paho.org/bitstream/handle/10665.2/49578/9789275320280_spa.pdf?sequence=9&isAllowed=y

Villarreal-Zegarra D, Copez-Lonzoy A, Bernabe-Ortiz A, MelendezTorres GJ, Bazo-Alvarez JC. Valid group comparisons can be made with the Patient Health Questionnaire (PHQ-9): A measurement invariance study across groups by demographic characteristics. PLoS One [Internet]. 2019;14(9):e0221717.

Calderon M, Galvez-Buccollini JA, Cueva G, Ordonez C, Bromley C, Fiestas F. Validacion de la version peruana del PHQ-9 para el diagnostico de depresion. Rev Peru Med Exp Salud Publica [Internet]. 2012;29(4):578-85.

Diez-Canseco F, Ipince A, Toyama M, Benate-Galvez Y, Galan-Rodas E, Medina-Verastegui JC, et al. Atendiendo la salud mental de las personas con enfermedades cronicas no transmisibles en el Peru: retos y oportunidades para la integracion de cuidados en el primer nivel de atencion. Rev Peru Med Exp Salud Publica [Internet]. 2014;31(1):131-6.

Organizacion Mundial de la Salud. Convenio Marco de la OMS para el Control del Tabaco [Internet]. OMS; 2003. Disponible en: https://apps.who.int/iris/bitstream/handle/10665/42813/9243591010.pdf;jsessionid=79C40D4DD95B5ABA23DBEB766A8B3EEB?sequence=1

Organizacion Mundial de la Salud. Plan de Accion Mundial sobre el Alcohol 2022-2030 con el fin de fortalecer la aplicacion de la Estrategia Mundial para Reducir el Uso Nocivo del Alcohol [Internet]. OMS; 2021. Disponible en: https://cdn.who.int/media/docs/default-source/alcohol/alcohol-action-plan/first-draft/globalalcohol-action_plan_first_draft_es.pdf?sfvrsn=59817c21_5

do Nascimento PG, Molerio Perez O, Pedraza Duran L. La prevencion del tabaquismo y el alcoholismo en adolescentes y jovenes desde las instituciones educativas. Psicogente [Internet]. 2014;17(31):93-106.

Published

2023-09-13

How to Cite

1.
Torres Mantilla JC, Torres Mantilla JD. Factors associated with depressive disorder among Peruvian older adults. Horiz Med [Internet]. 2023Sep.13 [cited 2024May18];23(3):e2220. Available from: https://www.horizontemedico.usmp.edu.pe/index.php/horizontemed/article/view/2220

Issue

Section

Original article