Depression and Urban Deprivation: Unseen Accelerators of Biological Aging
Featured Neuroscience Psychology ·June 4, 2023
Summary:
Feeling depressed and living in a deprived urban neighborhood could be making you age faster, according to a new study led by researchers at McMaster University.
The findings, published June 5 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, showed that living in urban environments marked by material and social inequities, and having depression symptoms, were independently associated with premature biological aging, even after accounting for individual-level health and behavioral risk factors, such as chronic conditions and poor health behaviors.
Parminder Raina, a professor in the Department of Health Research Methods, Evidence, and Impact at McMaster University, led the research team, which included investigators from the Netherlands, Norway and Switzerland.
About this depression and aging research news
Author: Veronica McGuire
Source: McMaster University
Contact: Veronica McGuire – McMaster University
Image: The image is credited to Neuroscience News
Original Research: The findings will appear in The Journals of Gerontology Series A
Featured Neuroscience Psychology ·June 4, 2023
Summary:
A new study reveals a possible link between depressive symptoms, living in deprived urban neighborhoods, and accelerated aging. The research utilized DNA methylation-based epigenetic clocks to estimate biological age and found premature aging in individuals facing these circumstances.
The study also found a connection between higher neighborhood deprivation and an increased risk of death. The influence of depression on premature aging seemed unrelated to neighborhood deprivation, suggesting different underlying mechanisms.
The study also found a connection between higher neighborhood deprivation and an increased risk of death. The influence of depression on premature aging seemed unrelated to neighborhood deprivation, suggesting different underlying mechanisms.
Key Facts:The study used DNA methylation-based epigenetic clocks, which helped estimate the difference between chronological age and biological age.Depressive symptoms and living in a deprived urban neighborhood were found to be independently associated with accelerated biological aging.The study found that for every point increase in the depressive symptom score, the risk of death accelerates by one month.Source: McMaster University
Feeling depressed and living in a deprived urban neighborhood could be making you age faster, according to a new study led by researchers at McMaster University.
The findings, published June 5 in The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, showed that living in urban environments marked by material and social inequities, and having depression symptoms, were independently associated with premature biological aging, even after accounting for individual-level health and behavioral risk factors, such as chronic conditions and poor health behaviors.
Parminder Raina, a professor in the Department of Health Research Methods, Evidence, and Impact at McMaster University, led the research team, which included investigators from the Netherlands, Norway and Switzerland.
The researchers found an increase in the risk of death by almost one year for those exposed to greater neighbourhood deprivation compared to lower neighbourhood deprivation. Credit: Neuroscience News
“Our study used two DNA methylation-based estimators, known as epigenetic clocks, to examine aging at the cellular level and estimate the difference between chronological age and biological age,” said Divya Joshi, the study’s first author and a research associate in the Department of Health Research Methods, Evidence, and Impact at McMaster.
“Our findings showed that neighbourhood deprivation and depressive symptoms were positively associated with acceleration of the epigenetic age estimated using the DNAm GrimAge clock.
“This adds to the growing body of evidence that living in urban areas with higher levels of neighbourhood deprivation and having depression symptoms are both associated with premature biological aging.”
Depressive symptoms in the study were measured using a 10-item standardized depression scale. The researchers found an acceleration in the risk of death by one month for every point increase on the depressive symptom score.
They theorized that emotional distress caused by depression may result in more biological wear and tear and dysregulation of physiological systems, which in turn could lead to premature aging.
The researchers assessed neighbourhood material and social deprivation using two indices that were developed by the Canadian Urban Environmental Health Research Consortium (CANUE) based on 2011 census.
Social deprivation reflects the presence of fewer social resources in the family and community, and material deprivation is an indicator of people’s inability to access goods and conveniences of modern life, such as adequate housing, nutritious food, a car, high-speed internet, or a neighbourhood with recreational facilities.
The researchers found an increase in the risk of death by almost one year for those exposed to greater neighbourhood deprivation compared to lower neighbourhood deprivation.
The study did not find that neighbourhood deprivation amplified the effect of depressive symptoms on epigenetic age acceleration.
“Our results showed that the effect of neighbourhood deprivation on epigenetic age acceleration was similar regardless of depression symptoms, suggesting that depression influences epigenetic age acceleration through mechanisms unrelated to neighbourhood deprivation,” Joshi said.
The research examined epigenetic data from 1,445 participants enrolled in the Canadian Longitudinal Study on Aging (CLSA), a research platform following more than 50,000 participants who were between the ages of 45 to 85 when recruited.
“Longitudinal studies, like the CLSA, are important to confirm associations like those found in this study,” said Raina, the study’s senior author and lead principal investigator of the CLSA.
“By following the same group of participants for 20 years, we will be able to determine whether epigenetic changes are stable or reversible over time. We will also gain insight into the mechanisms that are leading to accelerated epigenetic aging.”
Funding: Support for the CLSA is provided by the Government of Canada through the Canadian Institutes of Health Research and the Canada Foundation for Innovation. Additional support for this study was provided by the European Union Horizon 2020 Programme.
“Our study used two DNA methylation-based estimators, known as epigenetic clocks, to examine aging at the cellular level and estimate the difference between chronological age and biological age,” said Divya Joshi, the study’s first author and a research associate in the Department of Health Research Methods, Evidence, and Impact at McMaster.
“Our findings showed that neighbourhood deprivation and depressive symptoms were positively associated with acceleration of the epigenetic age estimated using the DNAm GrimAge clock.
“This adds to the growing body of evidence that living in urban areas with higher levels of neighbourhood deprivation and having depression symptoms are both associated with premature biological aging.”
Depressive symptoms in the study were measured using a 10-item standardized depression scale. The researchers found an acceleration in the risk of death by one month for every point increase on the depressive symptom score.
They theorized that emotional distress caused by depression may result in more biological wear and tear and dysregulation of physiological systems, which in turn could lead to premature aging.
The researchers assessed neighbourhood material and social deprivation using two indices that were developed by the Canadian Urban Environmental Health Research Consortium (CANUE) based on 2011 census.
Social deprivation reflects the presence of fewer social resources in the family and community, and material deprivation is an indicator of people’s inability to access goods and conveniences of modern life, such as adequate housing, nutritious food, a car, high-speed internet, or a neighbourhood with recreational facilities.
The researchers found an increase in the risk of death by almost one year for those exposed to greater neighbourhood deprivation compared to lower neighbourhood deprivation.
The study did not find that neighbourhood deprivation amplified the effect of depressive symptoms on epigenetic age acceleration.
“Our results showed that the effect of neighbourhood deprivation on epigenetic age acceleration was similar regardless of depression symptoms, suggesting that depression influences epigenetic age acceleration through mechanisms unrelated to neighbourhood deprivation,” Joshi said.
The research examined epigenetic data from 1,445 participants enrolled in the Canadian Longitudinal Study on Aging (CLSA), a research platform following more than 50,000 participants who were between the ages of 45 to 85 when recruited.
“Longitudinal studies, like the CLSA, are important to confirm associations like those found in this study,” said Raina, the study’s senior author and lead principal investigator of the CLSA.
“By following the same group of participants for 20 years, we will be able to determine whether epigenetic changes are stable or reversible over time. We will also gain insight into the mechanisms that are leading to accelerated epigenetic aging.”
Funding: Support for the CLSA is provided by the Government of Canada through the Canadian Institutes of Health Research and the Canada Foundation for Innovation. Additional support for this study was provided by the European Union Horizon 2020 Programme.
About this depression and aging research news
Author: Veronica McGuire
Source: McMaster University
Contact: Veronica McGuire – McMaster University
Image: The image is credited to Neuroscience News
Original Research: The findings will appear in The Journals of Gerontology Series A
The study also determined more needed to be done to prevent suicide-related content being recommended to users based on algorithms for suggested viewing.
Credit: Neuroscience News
Featured Neuroscience Psychology· May 11, 2023
Summary:
Featured Neuroscience Psychology· May 11, 2023
Summary:
Researchers have found a link between frequent YouTube usage and increased levels of loneliness, anxiety, and depression, especially among viewers under 29.
The study raises concerns about ‘parasocial relationships’ between creators and viewers, as well as the algorithmic recommendation of suicide-related content. The team suggests AI-based solutions to guide users towards positive mental health content.
The study raises concerns about ‘parasocial relationships’ between creators and viewers, as well as the algorithmic recommendation of suicide-related content. The team suggests AI-based solutions to guide users towards positive mental health content.
Key Facts:
Regular YouTube users, particularly those under 29, experience higher levels of loneliness, anxiety, and depression according to a study from the Australian Institute for Suicide Research and Prevention.
The development of parasocial relationships, or one-sided emotional bonds between YouTube content creators and viewers, could potentially exacerbate mental health issues.
The study highlights concerns about YouTube’s algorithm recommending suicide-related content and proposes an AI-based solution to direct users towards verified positive mental health content.
Source: Griffith University
Frequent users of YouTube have higher levels of loneliness, anxiety, and depression according to researchers from the Australian Institute for Suicide Research and Prevention (AISRAP).
Dr Luke Balcombe and Emeritus Professor Diego De Leo from Griffith University’s School of Applied Psychology and AISRAP sought to understand both the positive and negative impacts of the world’s most used streaming platform on mental health.
They found the most negatively affected individuals were those under 29 years of age, or who regularly watched content about other people’s lives.
Lead author Dr Luke Balcombe said the development of parasocial relationships between content creators and followers could be cause for concern, however some neutral or positive instances of creators developing closer relationships with their followers also occurred.
“These online ‘relationships’ can fill a gap for people who, for example, have social anxiety, however it can exacerbate their issues when they don’t engage in face-to-face interactions, which are especially important in developmental years,” he said.
“We recommend individuals limit their time on YouTube and seek out other forms of social interaction to combat loneliness and promote positive mental health.”
Dr Balcombe said the amount of time spent on YouTube was often a concern for parents, who struggled to monitor their children’s use of the platform for educational or other purposes.
For the purpose of the study, over two hours per day of YouTube consumption was classed as high frequency use and over five hours a day as saturated use.
The study also determined more needed to be done to prevent suicide-related content being recommended to users based on algorithms for suggested viewing.
While ideally, people shouldn’t be able to search for these topics and be exposed to methods, the YouTube algorithm does push recommendations or suggestions based on previous searches, which can send users further down a disturbing ‘rabbit hole’.
Users can report this type of content, but sometimes it may not be reported, or it could be there for a few days or weeks and with the sheer volume of content passing through, it’s almost impossible for YouTube’s algorithms to stop all of it.
If a piece of content is flagged as possibly containing suicide or self-harm topics, YouTube then provides a warning and asks the user if they want to play the video.
“With vulnerable children and adolescents who engage in high frequency use, there could be value in monitoring and intervention through artificial intelligence,” Dr Balcombe said.
“We’ve explored human–computer interaction issues and proposed a concept for an independent-of-YouTube algorithmic recommendation system which will steer users toward verified positive mental health content or promotions.
“YouTube is increasingly used for mental health purposes, mainly for information seeking or sharing and many digital mental health approaches are being tried with varying levels of merit, but with over 10,000 mental health apps currently available, it can be really overwhelming knowing which ones to use, or even which ones to recommend from a practitioner point of view.
“There is a gap for verified mental health or suicide tools based on a mix of AI-based machine learning, risk modeling and suitably qualified human decisions, but by getting mental health and suicide experts together to verify information from AI, digital mental health interventions could be a very promising solution to support increasing unmet mental health needs.”
About this psychology research news
Author: Christine Bowley
Source: Griffith University
Contact: Christine Bowley – Griffith University
Original Research: Open access.
“The Impact of YouTube on Loneliness and Mental Health” by Luke Balcombe et al. Informatics
Abstract
The Impact of YouTube on Loneliness and Mental Health
There are positives and negatives of using YouTube in terms of loneliness and mental health. YouTube’s streaming content is an amazing resource, however, there may be bias or errors in its recommendation algorithms.
Parasocial relationships can also complicate the impact of YouTube use. Intervention may be necessary when problematic and risky content is associated with unhealthy behaviors and negative impacts on mental health. Children and adolescents are particularly vulnerable.
Although YouTube might assist in connecting with peers, there are privacy, safety, and quality issues to consider.
This paper is an integrative review of the positive and negative impacts of YouTube with the aim to inform the design and development of a technology-based intervention to improve mental health. The impact of YouTube use on loneliness and mental health was explored by synthesizing a purposive selection (n = 32) of the empirical and theoretical literature.
Next, we explored human–computer interaction issues and proposed a concept whereby an independent-of-YouTube algorithmic recommendation system steers users toward verified positive mental health content or promotions.
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