DEPRESSION OF THE PERUVIAN ELDERLY ADULT AND ASSOCIATED SOCIODEMOGRAPHICAL VARIABLES, ANALYSIS OF ENDES 2017

Objective: To determine the sociodemographic variables associated with depression in the elderly of Peru based on the information obtained through the Demographic and Family Health Survey (ENDES) of the year 2017 carried out by the National Institute of Statistics and Informatics (INEI). Methods: An...

Full description

Bibliographic Details
Main Authors: Paola Baldeón Martínez, Consuelo Luna Muñoz, Sandra Mendoza Cernaqué, Lucy E. Correa López
Format: Article
Language:Spanish
Published: Universidad Ricardo Palma 2019-10-01
Series:Revista de la Facultad de Medicina Humana
Subjects:
Online Access:http://revistas.urp.edu.pe/index.php/RFMH/article/view/2339
_version_ 1828466767529246720
author Paola Baldeón Martínez
Consuelo Luna Muñoz
Sandra Mendoza Cernaqué
Lucy E. Correa López
author_facet Paola Baldeón Martínez
Consuelo Luna Muñoz
Sandra Mendoza Cernaqué
Lucy E. Correa López
author_sort Paola Baldeón Martínez
collection DOAJ
description Objective: To determine the sociodemographic variables associated with depression in the elderly of Peru based on the information obtained through the Demographic and Family Health Survey (ENDES) of the year 2017 carried out by the National Institute of Statistics and Informatics (INEI). Methods: An observational, correlational and cross-sectional study that used a probabilistic sample of 4917 older adults (60 years and over). For the determination of depression in the population, the Patient Health Questionnaire (PHQ) of 9 questions included in the health questionnaire in the mental health section of ENDES 2017 was used as an instrument. Results: The prevalence of depression in the Peruvian elderly in 2017 was 14.2%. As sociodemographic variables associated with depression were the female sex [OR 1.995 (1.684 -2.364)]; lack instruction [ORaj 2.524 (2.126-2996)]; the age over 75 years [ORaj 1.763 (1.494 2.080)]; live in a rural area [ORaj 1.410 (1.198-1.659)]; and be poor [ORaj 1.456 (1.229 - 1.724)]. It was not associated with disability (p = 0.704). [ORaj 1.103 (0.663-1835)]. Conclusion: It was concluded that the prevalence of depression in the Peruvian adult is high. Among the sociodemographic variables that were identified as risk factors for presenting depression were female sex, lacking education, age over 75, living in rural areas and being poor.
first_indexed 2024-12-11T03:55:24Z
format Article
id doaj.art-2afa2e10bc85478ebdc34dd8bc80a075
institution Directory Open Access Journal
issn 1814-5469
2308-0531
language Spanish
last_indexed 2024-12-11T03:55:24Z
publishDate 2019-10-01
publisher Universidad Ricardo Palma
record_format Article
series Revista de la Facultad de Medicina Humana
spelling doaj.art-2afa2e10bc85478ebdc34dd8bc80a0752022-12-22T01:21:48ZspaUniversidad Ricardo PalmaRevista de la Facultad de Medicina Humana1814-54692308-05312019-10-01194475210.25176/RFMH.v19i4.2339DEPRESSION OF THE PERUVIAN ELDERLY ADULT AND ASSOCIATED SOCIODEMOGRAPHICAL VARIABLES, ANALYSIS OF ENDES 2017Paola Baldeón Martínez0Consuelo Luna Muñoz1Sandra Mendoza Cernaqué2Lucy E. Correa López3https://orcid.org/0000-0002-6019-2986https://orcid.org/0000-0001-9205-2745https://orcid.org/0000-0001-6428-5824https://orcid.org/0000-0001-7892-4391Objective: To determine the sociodemographic variables associated with depression in the elderly of Peru based on the information obtained through the Demographic and Family Health Survey (ENDES) of the year 2017 carried out by the National Institute of Statistics and Informatics (INEI). Methods: An observational, correlational and cross-sectional study that used a probabilistic sample of 4917 older adults (60 years and over). For the determination of depression in the population, the Patient Health Questionnaire (PHQ) of 9 questions included in the health questionnaire in the mental health section of ENDES 2017 was used as an instrument. Results: The prevalence of depression in the Peruvian elderly in 2017 was 14.2%. As sociodemographic variables associated with depression were the female sex [OR 1.995 (1.684 -2.364)]; lack instruction [ORaj 2.524 (2.126-2996)]; the age over 75 years [ORaj 1.763 (1.494 2.080)]; live in a rural area [ORaj 1.410 (1.198-1.659)]; and be poor [ORaj 1.456 (1.229 - 1.724)]. It was not associated with disability (p = 0.704). [ORaj 1.103 (0.663-1835)]. Conclusion: It was concluded that the prevalence of depression in the Peruvian adult is high. Among the sociodemographic variables that were identified as risk factors for presenting depression were female sex, lacking education, age over 75, living in rural areas and being poor.http://revistas.urp.edu.pe/index.php/RFMH/article/view/2339ElderlyDepressionPHQ-9 QuestionnaireRisk factorsPeru
spellingShingle Paola Baldeón Martínez
Consuelo Luna Muñoz
Sandra Mendoza Cernaqué
Lucy E. Correa López
DEPRESSION OF THE PERUVIAN ELDERLY ADULT AND ASSOCIATED SOCIODEMOGRAPHICAL VARIABLES, ANALYSIS OF ENDES 2017
Revista de la Facultad de Medicina Humana
Elderly
Depression
PHQ-9 Questionnaire
Risk factors
Peru
title DEPRESSION OF THE PERUVIAN ELDERLY ADULT AND ASSOCIATED SOCIODEMOGRAPHICAL VARIABLES, ANALYSIS OF ENDES 2017
title_full DEPRESSION OF THE PERUVIAN ELDERLY ADULT AND ASSOCIATED SOCIODEMOGRAPHICAL VARIABLES, ANALYSIS OF ENDES 2017
title_fullStr DEPRESSION OF THE PERUVIAN ELDERLY ADULT AND ASSOCIATED SOCIODEMOGRAPHICAL VARIABLES, ANALYSIS OF ENDES 2017
title_full_unstemmed DEPRESSION OF THE PERUVIAN ELDERLY ADULT AND ASSOCIATED SOCIODEMOGRAPHICAL VARIABLES, ANALYSIS OF ENDES 2017
title_short DEPRESSION OF THE PERUVIAN ELDERLY ADULT AND ASSOCIATED SOCIODEMOGRAPHICAL VARIABLES, ANALYSIS OF ENDES 2017
title_sort depression of the peruvian elderly adult and associated sociodemographical variables analysis of endes 2017
topic Elderly
Depression
PHQ-9 Questionnaire
Risk factors
Peru
url http://revistas.urp.edu.pe/index.php/RFMH/article/view/2339
work_keys_str_mv AT paolabaldeonmartinez depressionoftheperuvianelderlyadultandassociatedsociodemographicalvariablesanalysisofendes2017
AT consuelolunamunoz depressionoftheperuvianelderlyadultandassociatedsociodemographicalvariablesanalysisofendes2017
AT sandramendozacernaque depressionoftheperuvianelderlyadultandassociatedsociodemographicalvariablesanalysisofendes2017
AT lucyecorrealopez depressionoftheperuvianelderlyadultandassociatedsociodemographicalvariablesanalysisofendes2017