Association between quality of life, sleep quality and mental disorders in Iranian older adults

Abstract

Aging as a major challenge can affect the development and growth of countries all around the world. This study aimed to identify the subgroups of the elderly based on the quality of life (Qol), sleep quality, and common mental disorders and assess the role of demographic characteristics on the membership of participants in each latent class. This cross-sectional study was conducted on 1064 people over the age of 60 years. The sample was selected through cluster sampling in northern Iran. All participants completed six sets of checklists and questionnaires. Data analysis was performed using latent class analysis. Three latent classes were identified; namely, (1) healthy (66.8%), (2) anxious and with poor sleep quality (28.6%), and unhealthy (4.6%). Being Female significantly increased the odds of membership in classes 2 and 3 compared to class 1. Furthermore, living in urban areas increased the odds of belonging to class 2 and class 3 compared to class 1. Illiteracy was also shown to increase the odds of being in class 3 in comparison to class 1. Results from the present indicate that the co-occurrence of health problems in 33.2% of the elderly was observed in various forms. The results of this study can be used in prioritizing health programs for the elderly and emphasizing high-risk groups.

A nationwide study on sleep complaints and associated factors in older adults: ELSI-Brazil

“…However, to our knowledge, no studies have assessed the association between regular and bad/very bad self-rated health and the different typologies of insomnia. We highlight that negative self-rated health is associated with stress and anxiety, which contribute to changes in sleep quality, such as increased sleep latency, which can lead to initial insomnia 69,70 . Negative self-rated health is often accompanied by a diagnosis of depression, which is widely known to lead to shortened REM, reduced sleep latency, reduced non-REM sleep, and increased frequency of nighttime awakenings, contributing to the development of intermediate insomnia and late insomnia, as well as daytime sleepiness 71,72 .…”

Prediction Model of mental health of Middle-aged and older adults in China

“…Consequently, this phenomenon introduces substantial deviations in the measurement outcomes of psychopathological indicators. Second, in the realm of psychological research, it has been demonstrated by previous studies [7][8][9][10][11] that demographic information, health-related data, and personal, contextual information encompassing significant life transitions during adolescence serve as crucial indicators for assessing the mental health of middle-aged and older adults. However, existing investigations predominantly focus on establishing associations between mental health and individual factors, lacking a comprehensive evaluation of multiple variables.…”