Browse
Submit Data
Databases
API
Help

Dataset Information

22 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The reciprocal relationships between social media self-control failure, mindfulness and wellbeing: A longitudinal study.

ABSTRACT: This paper aims to shed light on the question whether, and how, social media self-control failure is related to mindfulness and wellbeing. Using a 3-wave longitudinal design, the present study among 594 daily social media users examined the reciprocal relationships between social media self-control failure and mindfulness, and between social media self-control failure and wellbeing (as assessed by subjective vitality and life satisfaction). Results of the random-intercept cross-lagged panel model showed that social media self-control failure has a time-invariant negative association with mindfulness and subjective vitality. No full reciprocal influence was found between social media self-control failure and mindfulness, yet part of this trajectory was observed, suggesting that social media self-control failure could impair mindfulness, which, in turn, might increase future social media self-control failure. For wellbeing, life satisfaction was found to predict subsequent drops in social media self-control failure.

SUBMITTER: Du J

PROVIDER: S-EPMC8336798 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

The role of sexual mindfulness in sexual wellbeing, Relational wellbeing, and self-esteem.

Project description:In this study we examine the role of sexual mindfulness in individuals' sexual satisfaction, relational satisfaction, and self-esteem. Midlife U.S. men and women (N?=?194 married, heterosexual individuals; 50.7% female; 94% Caucasian, age range 35-60?years) completed an online survey. More sexually mindful individuals tended to have better self-esteem, be more satisfied with their relationships and, particularly for women, be more satisfied with their sex lives. Some of these associations occurred even after controlling for trait mindfulness. These findings may also allow researchers and therapists to better address an individual's sexual wellbeing, relational wellbeing, and self-esteem by teaching sexual mindfulness skills.

| S-EPMC6640099 | biostudies-literature

Reciprocal Relationships between Trajectories of Depressive Symptoms and Screen Media Use during Adolescence.

Project description:Adolescents are constantly connected with each other and the digital landscape through a myriad of screen media devices. Unprecedented access to the wider world and hence a variety of activities, particularly since the introduction of mobile technology, has given rise to questions regarding the impact of this changing media environment on the mental health of young people. Depressive symptoms are one of the most common disabling health issues in adolescence and although research has examined associations between screen use and symptoms of depression, longitudinal investigations are rare and fewer still consider trajectories of change in symptoms. Given the plethora of devices and normalisation of their use, understanding potential longitudinal associations with mental health is crucial. A sample of 1,749 (47% female) adolescents (10-17 years) participated in six waves of data collection over two years. Symptoms of depression, time spent on screens, and on separate screen activities (social networking, gaming, web browsing, TV/passive) were self-reported. Latent growth curve modelling revealed three trajectories of depressive symptoms (low-stable, high-decreasing, and low-increasing) and there were important differences across these groups on screen use. Some small, positive associations were evident between depressive symptoms and later screen use, and between screen use and later depressive symptoms. However, a Random Intercept Cross Lagged Panel Model revealed no consistent support for a longitudinal association. The study highlights the importance of considering differential trajectories of depressive symptoms and specific forms of screen activity to understand these relationships.

| S-EPMC6208639 | biostudies-literature

Project description:Deficits in reciprocal social behavior are a characterizing feature of autism spectrum disorder (ASD). Autism-related variation in reciprocal social behavior (AVR) in the general population is continuously distributed and highly heritable-a function of additive genetic influences that overlap substantially with those which engender clinical autistic syndromes. This is the first long-term prospective study of the stability of AVR from childhood through early adulthood, conducted via serial ratings using the Social Responsiveness Scale, in a cohort-sequential study involving children with ASD, other psychiatric conditions, and their siblings (N = 602, ages = 2.5-29). AVR exhibits marked stability throughout childhood in individuals with and without ASD.

| S-EPMC6446804 | biostudies-literature

The association between social relationships and self-harm: a case-control study in Taiwan.

Project description:BACKGROUND: Although suicide has been postulated as a result of social breakdown, relatively little attention has been paid to the association between social relationships and non-fatal self-harm. We sought to investigate the extent to which social factors correlate with self-harm in this case-control study. METHODS: The primary outcome was self-harm with hospital presentation. Cases of self-harm from the Emergency Department in a general hospital in Northern Taiwan were recruited, and individually age-and-gender-matched control participants were recruited from non-psychiatric outpatient clinics at the same hospital. The Close Persons Questionnaire was administered and its social support and social network subscales were used to measure social relationships in the 12 months prior to the interview. Other covariates, comprising sociodemographic factors, major life events, physical and mental health, were adjusted in conditional logistic regression models. RESULTS: A total of 124 case-control pairs were recruited. The mean (standard deviation) age of the case group was 34.7 (12.8) years and 80.6% were female. Higher social isolation score remained significantly associated with self-harm after adjustment (adjusted odds ratio per standard deviation increase 2.92, 95% confidence interval 1.44-5.95) and household size was negatively associated with the outcome (adjusted odds ratio per unit increase 0.54, 95% CI 0.32-0.94). CONCLUSIONS: More limited social networks were associated with self-harm after adjustment for potential confounders. Enhancing social structure and effective networking of people with self-harm to community resources may be important for self-harm management in Asian societies and elsewhere.

| S-EPMC3621841 | biostudies-other

Self-harm and social media: thematic analysis of images posted on three social media sites.

Project description:ObjectivesTo explore the nature of images tagged as self-harm on popular social media sites and what this might tell us about how these sites are used.DesignA visual content and thematic analysis of a sample of 602 images captured from Twitter, Instagram and Tumblr.ResultsOver half the images tagged as self-harm had no explicit representation of self-harm. Where there was explicit representation, self-injury was the most common; none of these portrayed images of graphic or shocking self-injury. None of the images we captured specifically encouraged self-harm or suicide and there was no image that could be construed as sensationalising self-harm.Four themes were found across the images: communicating distress, addiction and recovery, gender and the female body, identity and belonging.ConclusionsFindings suggest that clinicians should not be overly anxious about what is being posted on social media. Although we found a very few posts suggesting self-injury was attractive, there were no posts that could be viewed as actively encouraging others to self-harm. Rather, the sites were being used to express difficult emotions in a variety of creative ways, offering inspiration to others through the form of texts or shared messages about recovery.

| S-EPMC6367987 | biostudies-literature

Reflective Skills, Empathy, Wellbeing, and Resilience in Cognitive-Behavior Therapy Trainees Participating in Mindfulness-Based Self-Practice/Self-Reflection.

Project description:Self-Practice/Self-Reflection (SP/SR) is an aspect of therapist training and professional development aimed at enhancing therapy skills, empathy, wellbeing, and resilience in the ultimate furtherance of client outcomes. For many decades, intensive SP/SR has been a required part of therapist training in many countries but relatively little is known about the effect of SP/SR. Studies have found cognitive-behavior therapy (CBT) therapists trained under a Beckian CBT paradigm benefitted from more time limited Beckian SP/SR. Mindfulness-based CBT is a more recent third-wave CBT paradigm with psychological process aims similar to those of SP/SR. While training in mindfulness-based CBT often has prominent SP/SR aspects, and mindfulness practice has been shown to benefit health care providers personally and professionally, to date no evaluations have been reported specifically of effects of participation of CBT trainees in stand-alone mindfulness-based SP/SR that meets regulatory requirements for more intensive SP/SR. A study on SP/SR training meeting German requirements is reported here. Post-graduate CBT trainees (N = 95) were assigned to delayed or immediate SP/SR with those in the delayed SP/SR condition crossing-over into SP/SR training after two baseline evaluations on a variety of reflective skill, wellbeing, and resilience measures spaced six to 9 months apart before participating in 120-150 hours of stand-alone mindfulness-based SP/SR followed by a third reevaluation on all study measures. Participants assigned to the immediate SP/SR condition underwent identical SP/SR training with pre/post assessments. Results indicate participation in intensive stand-alone mindfulness-based SP/SR resulted in favorable changes in measures operationalizing all variables. Findings are discussed in terms of their implications for training and professional development of CBT therapists.

| S-EPMC10652655 | biostudies-literature

Hierarchical longitudinal models of relationships in social networks.

Project description:Motivated by the need to understand the dynamics of relationship formation and dissolution over time in real-world social networks we develop a new longitudinal model for transitions in the relationship status of pairs of individuals ("dyads"). We first specify a model for the relationship status of a single dyad and then extend it to account for important inter-dyad dependencies (e.g., transitivity - "a friend of a friend is a friend") and heterogeneity. Model parameters are estimated using Bayesian analysis implemented via Markov chain Monte Carlo. We use the model to perform novel analyses of two diverse longitudinal friendship networks: an excerpt of the Teenage Friends and Lifestyle Study (a moderately sized network) and the Framingham Heart Study (FHS) (a large network).

| S-EPMC3979311 | biostudies-literature

Retweets as a Predictor of Relationships among Users on Social Media.

Project description:Link prediction is the problem of detecting missing links or predicting future link formation in a network. Application of link prediction to social media, such as Twitter and Facebook, is useful both for developing novel services and for sociological analyses. While most existing research on link prediction uses only the social network topology for the prediction, in social media, records of user activities such as posting, replying, and reposting are available. These records are expected to reflect user interest, and so incorporating them should improve link prediction. However, research into link prediction using the records of user activities is still in its infancy, and the effectiveness of such records for link prediction has not been fully explored. In this study, we focus in particular on records of reposting as a promising source that could be useful for link prediction, and investigate their effectiveness for link prediction on the popular social media platform Twitter. Our results show that (1) the prediction accuracy of techniques using reposting records is higher than that of popular topology-based techniques such as common neighbors and resource allocation for actively retweeting users, (2) the accuracy of link prediction techniques that use network topology alone can be improved by incorporating reposting records.

| S-EPMC5249064 | biostudies-literature

Behavioral contagion on social media: Effects of social norms, design interventions, and critical media literacy on self-disclosure.

Project description:Social norms are powerful determinants of human behaviors in offline and online social worlds. While previous research established a correlational link between norm perceptions and self-reported disclosure on social network sites (SNS), questions remain about downstream effects of prevalent behaviors on perceived norms and actual disclosure on SNS. We conducted two preregistered studies using a realistic social media simulation. We further analyzed buffering effects of critical media literacy and privacy nudging. The results demonstrate a disclosure behavior contagion, whereby a critical mass of posts with visual disclosures shifted norm perceptions, which, in turn, affected perceivers' own visual disclosure behavior. Critical media literacy was negatively related and moderated the effect of norms on visual disclosure behavioral intentions. Neither critical media literacy nor privacy nudge affected actual disclosure behaviors, however. These results provide insights into how behaviors may spread on SNS through triggering changes in perceived social norms and subsequent disclosure behaviors.

| S-EPMC8289004 | biostudies-literature

Computational Approaches Toward Integrating Quantified Self Sensing and Social Media.

Project description:The growing amount of data collected by quantified self tools and social media hold great potential for applications in personalized medicine. Whereas the first includes health-related physiological signals, the latter provides insights into a user's behavior. However, the two sources of data have largely been studied in isolation. We analyze public data from users who have chosen to connect their MyFitnessPal and Twitter accounts. We show that a user's diet compliance success, measured via their self-logged food diaries, can be predicted using features derived from social media: linguistic, activity, and social capital. We find that users with more positive affect and a larger social network are more successful in succeeding in their dietary goals. Using a Granger causality methodology, we also show that social media can help predict daily changes in diet compliance success or failure with an accuracy of 77%, that improves over baseline techniques by 17%. We discuss the implications of our work in the design of improved health interventions for behavior change.

| S-EPMC5565732 | biostudies-other

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data