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How college students’ social media information overload affects sleep quality: The mediating effect of social fatigue and irrational procrastination

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... They are equipped with the necessary competencies to identify misinformation, malinformation, or disinformation, safeguarding themselves from potential harm associated with information disorders. Despite these capabilities, however, they are not immune to the challenges posed by the sheer volume of misleading information they encounter, leading to a phenomenon known as information overload (Li, Gao and Ye, 2023;Hong et al., 2023). Masrek ...
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Background of the study: In today's digitally saturated world, individuals face cognitive overload due to the vast influx of information, including misinformation, disinformation, and malinformation. Purpose: This study investigates the relationships between perceived experiences of misinformation, disinformation, and malinformation, and their impact on information overload among Malaysian students. Method: Data were collected from 352 Malaysian students using a survey method and analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM). Participants reported their perceptions of misinformation, disinformation, malinformation experiences, and information overload on a Likert scale. Findings: Results indicate that students experience moderate levels of misinformation, disinformation, and information overload, while malinformation was less prominent. Nevertheless, significant positive relationships were found between perceived misinformation, disinformation, and malinformation experiences, and information overload, suggesting that students encountering higher levels of these information types are more likely to experience cognitive overload. Conclusion: This study underscores the challenges students face in processing vast amounts of information. It contributes to the theoretical understanding of how misinformation, disinformation, and malinformation contribute to information overload and emphasizes the need for promoting information literacy and critical thinking to mitigate these effects.
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A growing group of Chinese students is returning to China following graduation, especially young returnees. This group is seen as one of the most innovative sectors of Chinese society. Based on the theory of planned behavior (TPB) and three kinds of capital theories, this study explores entrepreneurial intention (EI) and its influencing factors among Newly Returned Chinese International Students (NRCIS). A survey of 211 NRCIS showed a low level of EI and little knowledge of supporting policies about entrepreneurship. Influencing factors included culture harmony as culture capital, overseas social networks as social capital, and foreign entrepreneurship education and foreign language proficiency as human capital. Attitude mediated the effects of foreign language proficiency, culture harmony, and foreign entrepreneurship education on EI. Perceived behavior control mediated the effect of foreign language proficiency, Chinese language proficiency, culture harmony, foreign entrepreneurship education, domestic entrepreneurship education, and overseas social networks on EI, and subjective norms have no significant mediating effect in any mediation path. Based on these findings, policymakers could pay attention to examining whether the current policies are working and accessible for NRCIS, and domestic entrepreneurship education could keep cultivating students' cross-cultural communication and understanding abilities, and society and education sectors could encourage positive cognition of entrepreneurship and guide students to form a positive attitude toward entrepreneurship and enhance their confidence.
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Purpose To review the various determinants of sleep quality among college students. Methods The PubMed, Web of Science and Cochrane Library databases were searched with the search string “sleep quality” AND “college students” for articles published between January 2007 and October 2017. Articles were excluded if they (1) examined sleep quality as a risk factor for other outcomes or (2) involved inpatients or participants under medical care. Results The 112 identified studies were classified into categories according to the investigated determinants and their effect on sleep quality. Physical activity and healthy social relations improved sleep quality, while caffeine intake, stress and irregular sleep-wake patterns decreased sleep quality. Less consistent results were reported regarding eating habits and sleep knowledge, while proper napping during the day might improve overall sleep quality. Conclusions College students are vulnerable to different risk factors for sleep quality. When designing interventions to improve sleep quality among college students, the main determinants need to be taken into consideration.
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With the popularity of social networking sites (SNSs), the problems of SNS addiction have been increasing. Research has revealed the association between SNS addiction and irrational procrastination. However, the mechanism underlying this relation is still unclear. The present study aimed to examine the mediating role of social networking site fatigue and the moderating role of effortful control in this link among Chinese undergraduate students. The Social Networking Site Addiction Scale, Social Networking Service Fatigue Scale, Effortful Control Scale and Irrational Procrastination Scale were completed by 1,085 Chinese undergraduate students. Results indicated that SNS addiction, SNS fatigue and irrational procrastination were positively correlated with each other, and negatively correlated with effortful control. Further analyses revealed that, SNS addiction has a direct effect on irrational procrastination. SNS fatigue mediated the relationship between SNS addiction and irrational procrastination. Both direct and indirect effects of SNS addiction on irrational procrastination were moderated by effortful control. Specifically, this effect was stronger for people with lower effortful control. These findings help clarify the mechanism underlying the association between SNS addiction and irrational procrastination, which have potential implications for intervention.
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It is common for users of social networking sites and services (SNS) to suffer from technostress and the various associated strains that hinder their well‐being. Despite prior SNS stress studies having provided valuable knowledge regarding SNS stressors and their use consequences, they have not examined the various strains related to well‐being that those stressors can create nor the underlying SNS characteristics. To address this gap in the research, we used a qualitative approach involving narrative interviews. As a contribution, our findings reveal four types of strains related to well‐being (concentration problems, sleep problems, identity problems, and social relation problems) as well as two different patterns with distinct sets of SNS stressors and SNS characteristics that generate those strains. As practical implications, the findings of this study can help technostressed users to identify their strains, understand their underlying SNS characteristics and SNS stressors, and increase the possibility that they will be able to avoid the strains in the future.
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Objective: Sleep insufficiency has been related to self-control failure: people fail to go to bed in time and end up sleep deprived. The role of state self-control in predicting bedtime and sleep duration has not yet been investigated. Based on an overlap between depleted self-control resources and fatigue, self-control depletion may foster earlier bedtimes. Conversely, self-control depletion also increases the propensity to procrastinate bedtime by giving in to the immediate gratification of late night entertainment. This study looked at procrastinatory television viewing, and its intermediary role in the association between state self-control and bedtime. The implications for sleep duration are examined. Design: First year students participated in an online survey (N=234). Using Day Reconstruction Method, they charted their activities and experiences during the preceding day and subsequent bedtime behavior. Results: Self-control depletion was directly related to earlier bedtimes, which we explained by its overlap with fatigue. This was associated with longer sleep duration. Self-control depletion was indirectly related to later bedtimes because it increased the propensity to procrastinate by watching television. This was associated with shorter sleep duration. Conclusion: This study exposes a dual pathway between self-control depletion and sleep duration, whereby procrastinatory television viewing may reduce sleep duration.
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Procrastinating with popular online media such as Facebook has been suggested to impair users' well-being, particularly among students. Building on recent procrastination, self-control, and communication literature, we conducted two studies (total N = 699) that examined the predictors of procrastination with Facebook as well as its effects on students' academic and overall well-being. Results from both studies consistently indicate that low trait self-control, habitual Facebook checking, and high enjoyment of Facebook use predict almost 40 percent of the variance of using Facebook for procrastination. Moreover, results from Study 2 underline that using Facebook for the irrational delay of important tasks increases students' academic stress levels and contributes to the negative well-being effects of Facebook use beyond the academic domain. The implications of investigating procrastination as a specific pattern of uncontrolled and dysfunctional media use are discussed with regard to research on the uses and effects of ubiquitous online media.
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This paper aims to study the factors of undergraduate students’ WeChat using, and adopts the structure of close-ended and the Likert-scale five-point measure questionnaire. We choose 200 undergraduate students as the respondents, randomly from different majors and grades. The result indicates: 1) almost all of the respondents use WeChat every day, and 18.8% of them use WeChat more than 2 hours per day. 2) The influence of friends is a major factor in using WeChat among undergraduate students. The item “Most of my friends use WeChat and encourage me to use” and “WeChat helps me to keep in touch with friends” recorded the highest and second highest mean score (4.03; 3.97). 3) WeChat is a good way to release stress and relaxation for undergraduate students. It brings them more laughter and joy. 4) Family has no significant influence on WeChat using, and only 10% of the respondents agree with the item “I often chat with strangers in WeChat”.
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Getting insufficient sleep has serious consequences in terms of mental and physical health. The current study is the first to approach insufficient sleep from a self-regulation perspective by investigating the phenomenon of bedtime procrastination: going to bed later than intended, without having external reasons for doing so. Data from a representative sample of Dutch adults (N = 2431) revealed that a large proportion of the general population experiences getting insufficient sleep and regularly goes to bed later than they would like to. Most importantly, a relationship between self-regulation and experienced insufficient sleep was found, which was mediated by bedtime procrastination.
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Objectives To investigate the independent and interactive associations of physical activity (PA) and screen time (ST) with depression, anxiety and sleep quality among Chinese college students. Methods A cross-sectional study was conducted in Wuhan University, China from November to December 2011. The students reported their PA, ST and socio-economic characteristics using self-administered questionnaires. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). Depression and anxiety were assessed using the Self-rating Depression Scale (SDS) and Self-rating Anxiety Scale (SAS), respectively. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of the independent and interactive relationships of PA and ST with depression, anxiety and sleep quality. Results A total of 1106 freshmen (471 females and 635 males) aged 18.9±0.9 years were included in the study. After adjustment for potential confounders, high PA and low ST were independently associated with significantly lower risks for poor sleep quality (OR: 0.48, 95% CI: 0.30–0.78) and depression (OR: 0.67, 95%CI: 0.44–0.89), respectively. An interactive inverse association was observed for combined effects of PA and low ST on depression (OR: 0.62, 95%CI: 0.40–0.92) and sleep quality (OR: 0.51, 95%CI: 0.27–0.91). No statistically significant associations were found between PA, ST and anxiety among the participants. Conclusions These findings suggest an independent and interactive relationship of high PA and low ST with significantly reduced prevalence of depressive problems and favorable sleep quality among Chinese college freshmen.
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Research has revealed that mobile phone addiction was a risk factor for poor sleep quality, however, little is known about the underlying mechanisms that may mediate or moderate this association. This study examined the mediating role of rumination and moderating role of mindfulness in the association between mobile phone addiction and sleep quality. A sample of 1196 Chinese adolescents was recruited to complete measures of mobile phone addiction, sleep quality, rumination and mindfulness. Results showed that rumination partially mediated the relationship between mobile phone addiction and sleep quality. Besides, both the effect of mobile phone addiction on sleep quality and the mediating effect of rumination were moderated by mindfulness, and both of the two effects were stronger for individuals with lower mindfulness. The present study can advance our understanding of how and when mobile phone addiction leads to poor sleep quality. Limitations and implications of this study are discussed.
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Based upon the stressor-strain-outcome framework, this study proposes that perceived system feature overload, information overload, and social overload are stressors which induce strain, in terms of social network fatigue and dissatisfaction. Both of social network fatigue and dissatisfaction further influence discontinuous use intention. The empirical results indicate that three types of perceived overload exert greater effects on social network fatigue than dissatisfaction, both of which further increase users’ intention of discontinuance. The study also finds that demographic characteristics, such as gender and age, also have moderating effects on these relationships.
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Procrastination is a widespread phenomenon described as the quintessence of self-regulatory failure. The aim of the present study was to explore the role of inhibition capacities (prepotent response inhibition and resistance to proactive interference), negative affect, and gender in this self-regulatory failure. One hundred thirteen participants completed two tasks assessing prepotent response inhibition and resistance to proactive interference, as well as questionnaires measuring procrastination and trait negative affect. Three profiles of inhibitors were identified through cluster analysis: the first had good capacities in both prepotent response inhibition and resistance to proactive interference, the second had good capacities in resisting proactive interference but lower capacities in inhibiting prepotent response, and the third had good capacities in inhibiting prepotent response but lower capacities in resisting proactive interference. Procrastination was higher in this last cluster, but only under particular conditions (relatively higher level of negative affect) and in some participants (women). These results shed new light on the role of inhibition-related functions, negative affect, and gender in procrastination.
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In an always connected communication environment, users of social networking services (SNSs) need to pay continuous attention to the overwhelming volume of social demands from SNSs. These increased energy requirements may cause SNS fatigue, which can lead to physical and psychological strain. Using the transactional theory of stress and coping as the overarching theory, this study regards overload (i.e., stressors) as a core determinant of SNS fatigue (i.e., strain) and identifies three dimensions of overload – information overload, communication overload, and system feature overload. It also includes SNS characteristics as the antecedents of overload. The data used in this study were collected from 201 individuals through online and offline surveys. Our results show that all three dimensions of overload were significant stressors that influence SNS fatigue. Regarding the predictors of overload, the characteristics of the SNS system significantly influenced the features of system overload, while information equivocality positively influences information overload. However, information relevance was not a significant predictor of information overload and information equivocality was not a significant predictor of communication overload.
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Individuals within organizations are beginning to make an important realization: more information technology (IT) usage in the workplace can, at times, lead to productivity losses. We conceptualize this frequently observed, but largely ignored phenomenon as technology overload, when additional technology tools begin to crowd out one’s productivity instead of enhancing it. We found support for three main factors contributing technology-based productivity losses through information overload, communication overload, and system feature overload. Interestingly, these factors are a function of the individuals who use the technology, not the technology itself. In this paper, we present the results from three studies that (1) develop and pre-test a scale measurement for technology overload and its distinct dimensions, (2) validate the instrument, and (3) explore the relationship between technology overload and knowledge worker productivity. Our findings demonstrate the relationship between information technology usage and knowledge worker productivity, and they suggest how tradeoffs can be managed to ameliorate technology overload.
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Procrastination and stress are associated with poorer mental health, health problems, and treatment delay. We examine procrastination in the domain of mental health. Higher levels of procrastination and stress were predicted to correlate with poorer mental health status and fewer mental health help-seeking behaviours. Undergraduate participants (135 females, 65 males) completed online questionnaires on procrastination, stress, mental health issues, and mental health help-seeking behaviours. Three significant canonical correlations were obtained between the predictor variables of procrastination, stress, (with controls for age, gender, and social desirability) and the criterion mental health variables. The first canonical correlation supported the main hypothesis associating stress and procrastination with poorer mental health. The second suggested that greater age and female gender are positively correlated to mental health help-seeking. The third canonical correlation depicted reduced procrastination and reduced concern for social desirability as associated with a pattern of poorer mental health and increased mental health help-seeking behaviours. These findings are discussed with a view to addressing the discrepancy between the considerable extent of mental health suffering and the comparatively low levels of mental health help-seeking.
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Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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