Exploration of the Relationships Among Narcissism, Life Satisfaction, and Loneliness of Instagram Users and the High- and Low-Level Features of Their Photographs
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ABSTRACT:
SUBMITTER: Kim Y
PROVIDER: S-EPMC8427304 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundSocial isolation during the lockdown, and the greater use of online platforms to connect with other people, can alter the dynamic relationship between loneliness, social media use, and subjective well-being. The study examines the mediating role of loneliness in the bidirectional association between Instagram addiction and life satisfaction.MethodsA sample of 954 university students from Poland were enrolled in a cross-sectional online study during the second wave of the COVID-19 pandemic. Participants aged between 19 and 42 (M = 22.56, SD = 2.36), and most of them were women (86.48%). Standardized questionnaires were used to measure Instagram addiction (BIAS), loneliness (DJGLS), and life satisfaction (SWLS).ResultsThe prevalence of Instagram addiction, loneliness, and dissatisfaction with life was 17.19%, 75%, and 40.15%, respectively. The mediating effect of loneliness on the relationship between Instagram addiction and life satisfaction was found bidirectionally in women but not among men.ConclusionsLoneliness seems to play a crucial role in the mechanism of social media addiction, so increasing loneliness should be a priority among emerging adults. The target group for intervention and prevention programs at campuses should include lonely and dissatisfied with life university students of the female gender.
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Project description:Social media provides a complementary source of information for public health surveillance. The dominate data source for this type of monitoring is the microblogging platform Twitter, which is convenient due to the free availability of public data. Less is known about the utility of other social media platforms, despite their popularity.This work aims to characterize the health topics that are prominently discussed in the image-sharing platform Instagram, as a step toward understanding how this data might be used for public health research.The study uses a topic modeling approach to discover topics in a dataset of 96,426 Instagram posts containing hashtags related to health. We use a polylingual topic model, initially developed for datasets in different natural languages, to model different modalities of data: hashtags, caption words, and image tags automatically extracted using a computer vision tool.We identified 47 health-related topics in the data (kappa=.77), covering ten broad categories: acute illness, alternative medicine, chronic illness and pain, diet, exercise, health care & medicine, mental health, musculoskeletal health and dermatology, sleep, and substance use. The most prevalent topics were related to diet (8,293/96,426; 8.6% of posts) and exercise (7,328/96,426; 7.6% of posts).A large and diverse set of health topics are discussed in Instagram. The extracted image tags were generally too coarse and noisy to be used for identifying posts but were in some cases accurate for identifying images relevant to studying diet and substance use. Instagram shows potential as a source of public health information, though limitations in data collection and metadata availability may limit its use in comparison to platforms like Twitter.
| S-EPMC6045785 | biostudies-other
Project description:Systematic exposure to social media causes social comparisons, especially among women who compare their image to others; they are particularly vulnerable to mood decrease, self-objectification, body concerns, and lower perception of themselves. This study first investigates the possible links between life satisfaction, self-esteem, anxiety, depression, and the intensity of Instagram use with a social comparison model. In the study, 974 women age 18-49 who were Instagram users voluntarily participated, completing a questionnaire. The results suggest associations between the analyzed psychological data and social comparison types. Then, artificial neural networks models were implemented to predict the type of such comparison (positive, negative, equal) based on the aforementioned psychological traits. The models were able to properly predict between 71% and 82% of cases. As human behavior analysis has been a subject of study in various fields of science, this paper contributes towards understanding the role of artificial intelligence methods for analyzing behavioral data in psychology.
| S-EPMC7041802 | biostudies-literature
Project description:BackgroundNurse managers play a critical role in enhancing nursing and patient outcomes. The work of nurse managers, who can be described as middle-managers at health care organizations, is complex and changes on a daily basis. Only a few studies have clarified how nurse managers divide their time across various work activities. This study aimed to describe the relationships between nurse managers' work activities, nurses' job satisfaction, patient satisfaction, and medication errors at the hospital unit level.MethodsA cross-sectional and correlational study design was used. The data were collected from nurse managers (n = 29), nursing staff (n = 306), and patients (n = 651) from 28 units across three Finnish acute care hospitals between April and November 2017. In addition, data concerning medication errors (n = 468) over one calendar year (2017) were acquired from the hospitals' incident reporting register. Analysis of covariance (ANCOVA) was used to estimate relationships between data from subareas of Nurse Managers' Work Content Questionnaire, Kuopio University Hospital Job Satisfaction Scale, and Revised Humane Caring Scale, along with medication error reports. A significance level of 95% was applied when estimating the covariances between variables. Unstandardized regression coefficients (B) were used to explain the relationships between variables.ResultsMultiple relationships between nurse managers' work activities, nurses' job satisfaction, patient satisfaction, and medication errors were identified. Nurse managers' work activities had both positive and negative relationships on the other studied variables. The Requiring factors of work (p < .001) subarea of nurses' job satisfaction, total patient satisfaction (p < .001), and medication errors (p < .001) were identified as the variables most significantly affected by other factors.ConclusionsThe findings suggest that nurse managers should focus on improving nursing practices by managing and organizing nurses' work in a way that makes their employees feel supported, motivated and secure. Furthermore, nurse managers should adopt a leadership style that emphasizes safe and patient-centered care. The results also suggest that the administration of today's health care organizations should actively evaluate nurse managers' share of work activities to ensure that their daily work is in line with the organizational goals.
| S-EPMC8017674 | biostudies-literature
Project description:Several studies have investigated a potential positive association between agentic narcissism and general dishonesty, revealing both supportive and contradicting evidence. Few have focused on dishonesty within romantic relationships, a phenomenon that occurs in almost all partnerships. With the present research, we first aimed to extend existing literature on narcissism by including its two complementary facets (i.e., agentic and communal narcissism). Second, we aimed to improve the understanding of narcissists' lying behavior in the context of partnerships by distinguishing between two different types of lies (i.e., self-centered and other-oriented lies). We hypothesized that both, people higher in agentic and communal narcissism, will report increased dishonesty toward their romantic partners (Hypothesis 1). Given the self-benefit function of self-centered lies and given that agentic narcissists aim to fulfill their relationship-based motives by agentic means, we predict agentic narcissism (compared with communal narcissism) will be a stronger predictor for self-centered lies (Hypothesis 1a). Given the other-benefiting function of other-oriented lies and given that communal narcissists aim to fulfill their motive of self-enhancement by communal means, we predict that communal narcissism (compared with agentic narcissism) will be a stronger predictor for other-oriented lies (Hypothesis 1b). In two preregistered online studies (N = 298: N = 256) we showed that people higher in agentic narcissism believed to be good liars, but this does not lead to higher self-reported frequencies of other-oriented and self-centered lies within romantic relationships historically; communal narcissism was also not related to self-reported deception. Limitations and directions for future research are discussed.
| S-EPMC10351034 | biostudies-literature
Project description:The social identity approach to wellbeing posits that social identifications provide psychological resources that contribute to individual wellbeing. Unless individuals identify with stigmatized groups or groups whose norms prescribe damaging behaviors, identifying with groups seems beneficial. This article explores the possibility that the different ways individuals approach the same social identity (labeled collective narcissism vs. in-group satisfaction) may be differentially associated with wellbeing. Results of four studies indicate that collective narcissism (a belief that the in-group's exceptionality is not sufficiently appreciated by others) vs. in-group satisfaction, (a belief that the in-group is of a high value), although positively correlated, are associated with different emotional profiles. In Study 1A (N = 570, in Poland) and Study 1B (N = 778, in the United States), collective narcissism was uniquely positively associated with negative emotionality, whereas in-group satisfaction was positively associated with positive emotionality and negatively associated with negative emotionality. In Study 2 (N = 569, in Poland), collective narcissism and in-group satisfaction had opposite unique links with social connectedness, gratitude and self-criticism. In Study 3 (N = 393, in Poland), collective narcissism, but not in-group satisfaction, was associated with sensory processing sensitivity, genetically determined hypersensitivity to negative stimuli. Collective narcissism was associated with life satisfaction only via its link to in-group satisfaction. Together these results suggest that dispositional negative emotionality may incline individuals toward collective narcissism. The positive overlap with in-group satisfaction may link collective narcissism to the benefits of social identification and wellbeing.
| S-EPMC6383489 | biostudies-literature
Project description:We examined whether and why collective narcissism (i.e., resentment for insufficient recognition of the in-group's importance) versus in-group satisfaction (i.e., a belief that the in-group and one's membership in it are reasons to be proud) have opposite, unique associations with hostility toward Syrian refugees in Poland. Results of two cross-sectional studies (Study 1, N = 1066 and Study 2, N = 419) converge to indicate that collective narcissism predicts hostility toward Syrian refugees via attributing Syrian refugees with hostile intentions toward Poles. In-group satisfaction is associated with rejection of hostile actions toward Syrian refugees because it decreases hostile attribution bias with regards to Syrian refugees. Thus, being a satisfied member of a national group promotes tolerance toward refugees, while collective narcissism is associated with blaming refugees for provoking the in-group's hostility.
| S-EPMC6737048 | biostudies-literature
Project description:Background: Suicide and substance use disorder (SUD) pose serious public health challenges among young adults in the United States. Increasing social media use among these populations can be leveraged as an alternative method to detect characteristics of suicide-related topics and behavior among substance users. Objective: To detect and characterize suicide and self-harm related conversations co-occurring with SUD posts and comments on the popular social media platform Instagram. Methods: This study used big data and machine learning approaches to collect and classify Instagram posts containing 632 controlled substance-related hashtags. Posts were first classified for online drug diversion topics and then filtered to detect suicide and mental health discussions. Posts and comments were then manually annotated for SUD and mental health co-occurring themes. Associations between these characteristics were tested using the Chi-square test. Results: We detected 719 Instagram posts/comments that included user-generated discussions about suicide, substance use and/or mental health. Posts self-reporting SUD and mental health topics were also more likely to discuss suicide compared to those that did not discuss SUD and mental health topics, respectively (p < 0.001). Major themes observed included concurrent discussions of suicide ideation and attempts and low self-esteem. Conclusions: Our study results provide preliminary evidence of social media discussions about suicide and mental health among those with SUD. This co-occurrence represents a key health risk factor on a platform heavily utilized by young adults. Further studies are required to analyze specific patterns of suicide and self-harm ideations for the purposes of designing future suicide prevention campaigns through digital channels.
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Project description:Teamwork has been argued to play an increasingly important role in numerous jobs, and several studies focused on the effects of team composition for work-related outcomes. Recent research has also identified individuals' character strengths and positive team roles (e.g., idea creator and relationship manager) as conducive to work-related outcomes. However, there is a scarcity of research on the role of character strengths or positive team roles on the level of teams. In the present study, we extend theoretical assumptions of team role theories to the study of character strengths and positive team roles: We examined the associations between character strengths and team roles with work-related outcomes on the individual (i.e., job satisfaction, self- and supervisor-rated performance) and the team level (i.e., teamwork quality, self- and supervisor-rated team performance). Further, we examined how the team composition relates to the outcomes, that is, whether balanced teams (i.e., all team roles or character strengths are represented in the current team) go along with desired outcomes and whether an overrepresentation of team roles or character strengths in a team (i.e., a team role or character strengths is represented by multiple team members) goes along with undesired outcomes. We studied a sample of 42 teams (N = 284 individuals) who completed measures of team roles, character strengths, teamwork quality, job satisfaction, and self-rated individual and team performance. Further, supervisor ratings of individual and team performance were collected. Results corroborated the relationships of team roles and character strengths with individual outcomes such as that specific roles and character strengths go along with individual performance and work satisfaction. Further, the results suggested that teams in which more team roles are represented report higher performance and teamwork quality. Also, teams with higher average levels of the character strengths of teamwork and fairness, and teams with more members scoring high in fairness and prudence report higher teamwork quality. Further, there is no evidence that having too many members with a particular character strength has detrimental effects on teamwork quality, work satisfaction, or performance. We conclude that extending the study of character to the level of teams offers an important advancement.
| S-EPMC7734085 | biostudies-literature
Project description:In this study, we examine the relationships between proactive personality, work locus of control, and vocational satisfaction. Moreover, we argue that these relationships vary depending on employees’ levels of education (i.e., employees with academic degrees versus without academic degrees). Drawing on Trait Activation Theory, we expected more pronounced relationships of proactive personality and work locus of control with vocational satisfaction for employees with academic degrees. We collected data of N = 2068 employees with a broad range of occupational backgrounds to test our assumptions. A partial disaggregation model revealed that both proactive personality and work locus of control were positively related to vocational satisfaction and that these relationships differed depending on the level of education. Regarding the relationship between proactive personality and vocational satisfaction, we only found evidence among employees with academic degrees. Although work locus of control and vocational satisfaction were significantly related among both groups of employees, the relationship was even more pronounced among employees without academic degrees. Consequently, our results underline the importance of taking inter-individual differences, such as the level of education, into consideration when looking at the effects of proactive personality and work locus of control on work-related well-being.
| S-EPMC9900274 | biostudies-literature