Quantifying the propagation of distress and mental disorders in social networks.
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ABSTRACT:
SUBMITTER: Scata M
PROVIDER: S-EPMC5864966 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundSocial media is an important and growing part of the lives of the vast majority of the global population, especially in the young. Although still a young and scarce subject, research has revealed that social media has addictive potential. The aim of this cross-sectional study was to explore the associations between problematic use of social media and mental distress, problematic gaming and gambling, within the Swedish general population.MethodsData from 2,118 respondents was collected through self-report questions on demographics and validated scales measuring addiction-like experiences of social media, problem gaming, problem gambling, and mental distress. Associations were analyzed in unadjusted analyses and-for variables not exceedingly inter-correlated-in adjusted logistic regression analyses.ResultsIn adjusted analyses, problematic use of social media demonstrated a relationship with younger age, time using instant messaging services, and mental distress, but not with education level, occupational status, or with treatment needs for alcohol or drug problems. Behavioral addictions (internet, gaming and gambling) were substantially inter-correlated, and all were associated with problematic use of social media in unadjusted analyses.ConclusionsSocial media use is associated with other addictive behaviors and mental distress. While factors of causality remain to be studied, these insights can motivate healthcare professionals to assess social media habits, for example in individuals suffering from issues concerning gambling, gaming or mental health.
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Project description:Online users nowadays are facing serious information overload problem. In recent years, recommender systems have been widely studied to help people find relevant information. Adaptive social recommendation is one of these systems in which the connections in the online social networks are optimized for the information propagation so that users can receive interesting news or stories from their leaders. Validation of such adaptive social recommendation methods in the literature assumes uniform distribution of users' activity frequency. In this paper, our empirical analysis shows that the distribution of online users' activity is actually heterogenous. Accordingly, we propose a more realistic multi-agent model in which users' activity frequency are drawn from a power-law distribution. We find that previous social recommendation methods lead to serious delay of information propagation since many users are connected to inactive leaders. To solve this problem, we design a new similarity measure which takes into account users' activity frequencies. With this similarity measure, the average delay is significantly shortened and the recommendation accuracy is largely improved.
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Project description:Physical distancing measures during the coronavirus pandemic are associated with increased psychological distress, especially in people with mental disorders. We investigated which social risk and resilience factors influence distress over time in people with pre-existing mental disorders. We conducted a longitudinal online survey with weekly follow-ups between April and July 2020 (n = 196 individuals with, and n = 545 individuals without pre-existing mental disorders at baseline). Our results show that individuals with, but not those without pre-existing mental disorders displayed higher distress levels when social resources and empathic disconnection are low and perceived social isolation is high. The distress development differed between participants with and without pre-existing mental disorders depending on their level of social resources, empathic disconnection, and perceived social isolation. These findings offer specific information for targeted social interventions to prevent an increase in incidence of mental disorders during physical distancing measures.
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Project description:Quantifying the nodal spreading abilities and identifying the potential influential spreaders has been one of the most engaging topics recently, which is essential and beneficial to facilitate information flow and ensure the stabilization operations of social networks. However, most of the existing algorithms just consider a fundamental quantification through combining a certain attribute of the nodes to measure the nodes' importance. Moreover, reaching a balance between the accuracy and the simplicity of these algorithms is difficult. In order to accurately identify the potential super-spreaders, the CumulativeRank algorithm is proposed in the present study. This algorithm combines the local and global performances of nodes for measuring the nodal spreading abilities. In local performances, the proposed algorithm considers both the direct influence from the node's neighbourhoods and the indirect influence from the nearest and the next nearest neighbours. On the other hand, in the global performances, the concept of the tenacity is introduced to assess the node's prominent position in maintaining the network connectivity. Extensive experiments carried out with the Susceptible-Infected-Recovered (SIR) model on real-world social networks demonstrate the accuracy and stability of the proposed algorithm. Furthermore, the comparison of the proposed algorithm with the existing well-known algorithms shows that the proposed algorithm has lower time complexity and can be applicable to large-scale networks.
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Project description:DNA methylation is a critical epigenetic mark in mammalian cells. Many aspects of DNA methylation maintenance have been characterized, however the exact kinetics of post-replicative methylation maintenance remain a subject of debate. Here we develop isolation of DNA by EdU-labelling for Mass Spectrometry (iDEMS), a highly sensitive, quantitative mass spectrometry-based method for measuring DNA modifications on metabolically labelled DNA. iDEMS reveals an unexpectedly hemi-methylated landscape on nascent DNA. Combining iDEMS with metabolic labelling reveals that methylation maintenance is outpaced by cell division in mouse embryonic stem cells. Our approach shows hydroxymethylation is perpetually asymmetric between sister strands in favor of the parental, template strand. iDEMS can be coupled with immunoprecipitation of chromatin proteins, revealing features of DNA methylation-histone modification crosstalk and suggesting a model for interplay between methylation and nucleosome assembly. iDEMS therefore elucidates long-standing questions about DNA modification propagation and provides an important orthogonal technology to understanding this process in dynamic cellular contexts.
2022-10-24 | GSE193681 | GEO
Project description:<p><font color="#FF0000"><b>Note: Data Use Restrictions:</b> <ul> <li>The data <i><u>must only</u></i> be used for genetic research projects solely in the area of health-related social-network research.</li> </ul> </font> </p> <p>This study compiles detailed information on family and social ties linked to participants in the offspring cohort of the Framingham Heart Study. The investigators took computerized information from self-report data used by the FHS for over 30 years to facilitate health exam scheduling. These tracking sheets asked participants to identify people close to them, which were assumed by the investigators to indicate a social tie. Individuals are listed as "egos" (if the ties are from their perspective) and/or "alters" (if they are linked as a friend or family members to one of the other participants). All egos were FHS offspring participants while alters could be FHS participants in any cohort or non-participants. This information was combined with internal FHS pedigree data on family ties to list family member alters (as well as the nature of their relationship). The resultant dataset therefore includes each ego-alter tie, the nature of their relationship and the start and end dates for their ties for each of seven waves for the offspring study.</p> <p>Due to privacy concerns, all exam dates for individuals are listed relative to the initial FHS exam date. The study investigators chose a random, confidential date, to which all initial exam dates are linked (by number of months from random date to initial exam date). With this information, researchers can have access to the temporal relationships among participants' exam dates while remaining unaware of the actual exam dates for individual participants.</p> <p>During each clinic exam cycle, the participants undergo a detailed examination including physical examination, medical history, laboratory testing, and electrocardiogram. Over the years, other tests (that may not be performed at every exam cycle) have included pulmonary function, lifestyle, physical function, cognitive function questionnaires, and various noninvasive cardiovascular tests including echocardiograms. This study involves phenotypic data from these exams including (when available) basic body measurements (height, weight, blood pressure), laboratory values (blood sugar levels, LDL levels), information on smoking and alcohol use, and tests of depression and cognitive functioning.</p> <p><b>Important links to apply for individual-level data</b> <ol> <li><a href="http://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?view_pdf&stacc=phs000153.v3.p3" target="_blank">Data Use Certification Requirements (DUC)</a></li> <li><a href="GetPdf.cgi?id=phd001183.1" target="_blank">Instructions to Request Authorized Access</a></li> <li><a href="http://view.ncbi.nlm.nih.gov/dbgap-controlled" target="_blank">Apply here for controlled access to individual level data</a></li> <li><a href="GetPdf.cgi?id=phd000317" target="_blank">Participant Protection Policy FAQ</a></li> </ol> </p> <p>In 1948, researchers recruited men and women from the town of Framingham, Massachusetts, beginning the first round of extensive physical examinations and lifestyle interviews that would later be analyzed for common patterns related to CVD development.</p> <p>Initially, the Framingham Heart Study enrolled 5,209 men and women from the Framingham area who were between the ages of 28 and 62 years. Beginning in 1971, the Framingham Heart Study enrolled 5,124 men and women, who were either offspring of the original cohort or spouses of those offspring. In 2002, 4,095 third generation participants (men and women) were enrolled.</p>
| phs000153.v5.p5 | EGA
Project description:This trial examines cancer communication within Hispanic social networks. Hispanics have the lowest colorectal cancer screening rate of any major ethnic group and health interventions are crucially needed among Hispanics. Patient decision aids are health communication interventions designed to provide patients with targeted health information and have shown to improve colorectal cancer screening rates among Hispanics. The goal of this study is to investigate, in a sample of Hispanics, how a colorectal cancer decision aid aimed at increasing individuals’ colorectal cancer screening behavior has effects on their alters’ intention to get screened for colorectal cancer.
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Project description:Social functioning is impaired in severe mental disorders despite clinical remission, illustrating the need to identify other mechanisms that hinder psychosocial recovery. Affective lability is elevated and associated with an increased clinical burden in psychosis spectrum disorders. We aimed to investigate putative associations between affective lability and social functioning in 293 participants with severe mental disorders (schizophrenia- and bipolar spectrum), and if such an association was independent of well-established predictors of social impairments. The Affective Lability Scale (ALS-SF) was used to measure affective lability covering the dimensions of anxiety-depression, depression-elation and anger. The interpersonal domain of the Social Functioning Scale (SFS) was used to measure social functioning. Correlation analyses were conducted to investigate associations between affective lability and social functioning, followed by a hierarchical multiple regression and follow-up analyses in diagnostic subgroups. Features related to premorbid and clinical characteristics were entered as independent variables together with the ALS-SF scores. We found that higher scores on all ALS-SF subdimensions were significantly associated with lower social functioning (p < 0.005) in the total sample. For the anxiety-depression dimension of the ALS-SF, this association persisted after controlling for potential confounders such as premorbid social functioning, duration of untreated illness and current symptoms (p = 0.019). Our results indicate that elevated affective lability may have a negative impact on social functioning in severe mental disorders, which warrants further investigation. Clinically, it might be fruitful to target affective lability in severe mental disorders to improve psychosocial outcomes.
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Project description:The emergence of the COVID-19 global pandemic in Ghana has resulted in various degrees of stigmatization. Previous studies have stressed the need for developing policies to curb the stigma towards COVID-19 survivors and healthcare workers. Some have investigated the knowledge and willingness of people to accept COVID-19 survivors. Others have also explored the experiences of health workers who have been victims of stigma from COVID-19. There is a need for further studies to understand COVID-19 related stigma and related psychological distress. The purpose of this study was to investigate the cases of COVID-19 related stigma and discrimination against healthcare workers, COVID-19 recovered patients, suspected persons of COVID-19, Asians, and persons with travel history from COVID-19 hotspot countries. The study was undertaken using the phenomenology approach to qualitative research. Purposive and snowball sampling techniques were used in recruiting the twenty-eight study participants. Data were garnered using interviews and focus group discussions. Data were analyzed using interpretative phenomenological analysis. The findings revealed that COVID-19 victims have faced various forms of stigma such as stereotyping, social exclusion, mockery, finger-pointing, and insults. The study recommends that the COVID-19 National Response Team in Ghana must put in place a robust psychosocial intervention plan for stigmatized persons to help them cope with the stigma and help in its prevention.
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