Correlates of health-related quality of life in young-old and old–old community-dwelling older adults

Meireles

Rev. bras. geriatr. gerontol.

2018

Objective: to analyze Brazilian and non-Brazilian scientific production that considers the relationship between the lifestyle and quality of life of the elderly. Method: an integrative review of literature was performed in the Scopus, PubMed, Virtual Health Library and PsycINFO databases. Four cross-searches were adopted: the English synonyms of the word "elderly" ("Aged", "Aging", "Old age" and "Elderly") with the terms "Quality of life" and "Lifestyle". Results: after the adoption of the inclusion and exclusion criteria, 21 articles were analyzed. Physical activity, diet, body composition, alcohol intake, smoking and social relations were the main components of lifestyle investigated. The studies show that these factors influence the perception of the quality of life of the elderly. In addition to these factors, sociodemographic characteristics, functional capacity, sleep quality and comorbidities are also factors that influence the quality of life of the elderly. Conclusion: interest in the relationship between the lifestyle and quality of life of the elderly has increased in recent years. It was observed that the lifestyle of the elderly has been investigated in several ways, however no qualitative studies were found using the search criteria adopted in this review. As future perspectives, it is hoped that tools for evaluating the lifestyle of the elderly will be developed and qualitative investigations will be carried out in order to obtain a deeper understanding of the specificities that exist in the relationship between the lifestyle and levels of quality of life in old age.

Section: Quality Of Life Of the Elderlymentioning

confidence: 99%

Section: Quality Of Life Of the Elderlymentioning

confidence: 99%

Section: Quality Of Life Of the Elderlymentioning

confidence: 99%

Section: Lifestyle and Quality Of Life Of The Elderlymentioning

confidence: 99%

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Evaluation of lifestyle and quality of life in the elderly: a literature review

Meireles

Rev. bras. geriatr. gerontol.

2018

“…Due to the demographic changes, with more and more adults attaining older ages, but, at the same time, also an increase of people suffering from cognitive impairments, the preservation of cognitive health in old age constitutes one of the major challenges in this century (Gouveia et al, 2017;Suzman, Beard, Boerma, & Chatterji, 2015). In this regard, the cognitive reserve concept postulates that lifelong experiences, including educational and occupational attainment, and leisure activities, provide cognitive stimulation building up a buffer that is instrumental for preserving cognitive functioning in aging (Stern, 2009(Stern, , 2012.…”

Section: Introductionmentioning

confidence: 99%

The relationship of obesity predicting decline in executive functioning is attenuated with greater leisure activities in old age

Ihle

Gouveia

et al. 2019

Aging & Mental Health

Self Cite

Objectives: We investigated the longitudinal relationship between obesity and subsequent decline in executive functioning over six years as measured through performance changes in the Trail Making Test (TMT). We also examined whether this longitudinal relationship differed by key markers of cognitive reserve (education, occupation, and leisure activities), taking into account age, sex, and chronic diseases as covariates. Method: We used latent change score modeling based on longitudinal data from 897 older adults tested on TMT parts A and B in two waves six years apart. Mean age in the first wave was 74.33 years. Participants reported their weight and height (to calculate BMI), education, occupation, leisure activities, and chronic diseases. Results: There was a significant interaction of obesity in the first wave of data collection with leisure activities in the first wave on subsequent latent change. Specifically, obesity in the first wave significantly predicted a steeper subsequent decline in executive functioning over six years in individuals with a low frequency of leisure activities in the first wave. In contrast, in individuals with a high frequency of leisure activities in the first wave, this longitudinal relationship between obesity and subsequent decline in executive functioning was not significant. Conclusion: The longitudinal relationship between obesity and subsequent decline in executive functioning may be attenuated in individuals who have accumulated greater cognitive reserve through an engaged lifestyle in old age. Implications for current cognitive reserve and gerontological research are discussed.

RETRACTED ARTICLE: Machine learning and data analysis-based study on the health issues post-pandemic

Gong

2023

Soft Comput

The COVID-19 pandemic has had significant impacts on the health of individuals and communities around the world. While the immediate health impacts of the virus itself are well-known, there are also a number of post-pandemic health issues that have emerged as a result of the pandemic. The pandemic has caused increased levels of anxiety, depression, and other mental health issues among people of all ages. The isolation, uncertainty, and grief caused by the pandemic have taken a toll on people’s mental well-being, and there is a growing concern that the long-term effects of the pandemic on mental health could be severe. Many people have delayed or avoided medical care during the pandemic, which could lead to long-term health problems. Additionally, people who have contracted COVID-19 may experience ongoing symptoms, such as fatigue, shortness of breath, and muscle weakness, which could impact their long-term health. Machine learning (ML) can be a powerful tool to analyze the health impact of the post-pandemic period. With the vast amounts of data available from electronic health records, public health databases, and other sources, this article is making use of ML methods which can help identify patterns and insights to conclude the study. The proposed ML models can analyze health data to identify trends and patterns that may indicate future health problems. By monitoring patterns in medical records and public health data, the proposed ML model can help public health officials detect and respond to outbreaks more quickly. The survey outcome reveals that the level of physical activities has been decreased by 22% during COVID-19-outbreak. The variance is shown at 49% during COVID-19 outbreak. The absence of physical activity (PA) and perceived stress (PS) are observed to be suggestively correlated with the QoL (quality of life) of adults. Deteriorated mental health also disrupts the normal lives and impacts the sleeping quality of people. The analysis of the data is performed using statistical analytical tools to depict the consequences of pandemic on the health of individuals aged between 50 to 80 years.