scholarly journals Digital Media and Psychological Well-being among Youth

Author(s):  
Ni Putu Adelia Kesumaningsari ◽  
Cindy Claudia Soen ◽  
Made Arisudana ◽  
Zeng Xiangjun ◽  
Jia Zhenguo
2019 ◽  
Vol 28 (4) ◽  
pp. 372-379 ◽  
Author(s):  
Jean M. Twenge

Studies using large samples consistently find that more frequent users of digital media are lower in psychological well-being than less frequent users; even data sets used as evidence for weak effects show that twice as many heavy users (vs. light users) are low in well-being. Differences in perspective may stem from the statistics used; I argue that comparing well-being across levels of digital-media use is more useful than the percentage of variance explained, as most studies on digital-media use do not measure other influences on well-being (e.g., genetics, trauma), and these other influences, unlike frequency of digital-media use, are rarely controllable. Nonusers are generally lower in well-being than light users of digital media, however, suggesting that limited use may be beneficial. Longitudinal and experimental studies suggest that at least some of the causation moves from digital-media use to lower well-being. Mechanisms may include the displacement of activities more beneficial to well-being (sleep, face-to-face social interaction), upward social comparison, and cyberbullying.


2019 ◽  
Vol 101 ◽  
pp. 104-113 ◽  
Author(s):  
Helena Bruggeman ◽  
Alain Van Hiel ◽  
Guido Van Hal ◽  
Stefan Van Dongen

2019 ◽  
Vol 24 (5) ◽  
pp. 259-273 ◽  
Author(s):  
Dong Liu ◽  
Roy F Baumeister ◽  
Chia-chen Yang ◽  
Baijing Hu

Abstract The puzzle of whether digital media are improving or harming psychological well-being has been plaguing researchers and the public for decades. Derived from media richness theory, this study proposed that phone calls and texting improve well-being, while use of social network sites (SNSs), instant messaging (IM), and online gaming may displace other social contacts and, thereby, impair well-being. To test this hypothesis, a meta-analysis of 124 studies was conducted. The results showed that phone calls and texting were positively correlated with well-being, whereas online gaming was negatively associated with well-being. Furthermore, the relationship between digital media use and well-being was also contingent upon the way the technology was used. A series of meta-analyses of different types of SNS use and well-being was used to elucidate this point: interaction, self-presentation, and entertainment on SNSs were associated with better well-being, whereas consuming SNSs’ content was associated with poorer well-being.


2018 ◽  
Vol 34 (5) ◽  
pp. 352-360 ◽  
Author(s):  
Silvia Bonino ◽  
Federica Graziano ◽  
Martina Borghi ◽  
Davide Marengo ◽  
Giorgia Molinengo ◽  
...  

Abstract. This research developed a new scale to evaluate Self-Efficacy in Multiple Sclerosis (SEMS). The aim of this study was to investigate dimensionality, item functioning, measurement invariance, and concurrent validity of the SEMS scale. Data were collected from 203 multiple sclerosis (MS) patients (mean age, 39.5 years; 66% women; 95% having a relapsing remitting form of MS). Fifteen items of the SEMS scale were submitted to patients along with measures of psychological well-being, sense of coherence, depression, and coping strategies. Data underwent Rasch analysis and correlation analysis. Rasch analysis indicates the SEMS as a multidimensional construct characterized by two correlated dimensions: goal setting and symptom management, with satisfactory reliability coefficients. Overall, the 15 items reported acceptable fit statistics; the scale demonstrated measurement invariance (with respect to gender and disease duration) and good concurrent validity (positive correlations with psychological well-being, sense of coherence, and coping strategies and negative correlations with depression). Preliminary evidence suggests that SEMS is a psychometrically sound measure to evaluate perceived self-efficacy of MS patients with moderate disability, and it would be a valuable instrument for both research and clinical applications.


2014 ◽  
Vol 13 (2) ◽  
pp. 87-96 ◽  
Author(s):  
Xi-Chao Zhang ◽  
Oi Ling Siu ◽  
Jing Hu ◽  
Weiwei Zhang

This study investigated the direct, reversed, and reciprocal relationships between bidirectional work-family conflict/work-family facilitation and psychological well-being (PWB). We administered a three-wave questionnaire survey to 260 married Chinese employees using a time lag of one month. Cross-lagged structural equation modeling analysis was conducted and demonstrated that the direct model was better than the reversed causal or the reciprocal model. Specifically, work-to-family conflict at Time 1 negatively predicted PWB at Time 2, and work-to-family conflict at Time 2 negatively predicted PWB at Time 3; further, work-to-family facilitation at Time 1 positively predicted PWB at Time 2. In addition, family-to-work facilitation at Time 1 positively predicted PWB at Time 2, and family-to-work conflict at Time 2 negatively predicted PWB at Time 3.


2020 ◽  
Vol 51 (3) ◽  
pp. 171-182
Author(s):  
Allard R. Feddes ◽  
Kai J. Jonas

Abstract. LGBT-related hate crime is a conscious act of aggression against an LGBT citizen. The present research investigates associations between hate crime, psychological well-being, trust in the police and intentions to report future experiences of hate crime. A survey study was conducted among 391 LGBT respondents in the Netherlands. Sixteen percent experienced hate crime in the 12 months prior. Compared to non-victims, victims had significant lower psychological well-being, lower trust in the police and lower intentions to report future hate crime. Hate crime experience and lower psychological well-being were associated with lower reporting intentions through lower trust in the police. Helping hate crime victims cope with psychological distress in combination with building trust in the police could positively influence future reporting.


2019 ◽  
Vol 6 (1) ◽  
pp. 99-121 ◽  
Author(s):  
Christine A. Simmonds-Moore ◽  
Carlos S. Alvarado ◽  
Nancy L. Zingrone

Sign in / Sign up

Export Citation Format

Share Document