Memory faults and risk factors in adults from 40 to 75 years

Memory failures in everyday life are a symptom that worries mostly for the elderly, but it is gaining more and more relevance among young adults. They are memory failures or daily forgetfulness: forgetting names, where things are put, forgetting a message, forgetting faces of people, what we have do...

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Bibliographic Details
Main Author: Murillo, Rebeca (author)
Other Authors: Batista, Humberto (author), Solano, Katherine (author), Botacio, Gianella (author), Barrio, Delia (author)
Format: article
Language:Spanish
Published: 2020
Online Access:https://revistas.utp.ac.pa/index.php/ric/article/view/2391
https://ridda2.utp.ac.pa/handle/123456789/10095
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Summary:Memory failures in everyday life are a symptom that worries mostly for the elderly, but it is gaining more and more relevance among young adults. They are memory failures or daily forgetfulness: forgetting names, where things are put, forgetting a message, forgetting faces of people, what we have done lately, what we have read, not remembering a route, among others. This article analyzes memory failures and risk factors in adults aged 40 and over in the teaching and administrative population of the Regional University Center of Azuero (CRUA). It is a descriptive, non-experimental, cross-sectional, retrospective study. The samplewas evaluated through the survey on the Daily Life Memory Failure Questionnaire (MFE) of the authors Montejo, Montenegro, Sueiro-Abad, Huertas (2012), which includes sections that assess the failures of early memory in three Factors: Memory of activities, recognition and monitoring of the communication and these give indications of some faults. The selection of the sample was carried out randomly with a level of reliability of 95% and a margin of error of 0.5%. The results indicate that the average age of the respondents that exhibited more memory failures is between the ages of 40 to 60 years. These memory failures respond to factor 1: memory of daily activities. When grouping the factors, we find relevant data that are related to alcohol consumption, education level, menopause and chronic diseases of the sample.