Problematic Smartphone Use—Comparison of Students With and Without Problematic Smartphone Use in Light of Personality

Eichenberg, Christiane; Schott, Markus; Schroiff, Athina

doi:10.3389/fpsyt.2020.599241

Cited by 24 publications

(26 citation statements)

References 60 publications

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“…Although amount of time alone should not be the sole criterion, it is one of the most dependable benchmarks in diagnosing PSU in extant research (Duke and Montag, 2017;Vahedi and Saiphoo, 2018;Sahu et al, 2019). The statistical distribution of this group (12.9%) fits well-nigh the overall estimate by Eichenberg et al (2021) in evaluating the prevalence rate of PSU at 15.1% in their study of college students in Vienna. Besides the prevailing tendency to stay longer on a variety of activities that the previous groups also engage in, close to one-half of them specifically mention mobile gaming as one of the most frequently accessed apps on their smartphone.…”

Section: Interviewee Demographics and User Typologymentioning

confidence: 77%

Smartphone Use and Psychological Well-Being Among College Students in China: A Qualitative Assessment

Cheng

Tai

2021

Front. Psychol.

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Background: Problematic smartphone use is widespread, and college-age youth faces an especially high risk of its associated consequences. While a promising body of research has emerged in recent years in this area, the domination of quantitative inquiries can be fruitfully and conceptually complemented by perspectives informed through qualitative research. Toward that end, this study aimed to interrogate the myriad behavioral, attitudinal, and psychological tendencies as a side effect of college students’ engagement with the smartphone in their everyday lived experience through in-depth interviews.Methods: We recruited 70 participants from seven college campuses hailing from different geographic regions in China, and conducted semi-structured in-depth virtual interviews via WeChat in November and December 2020. Subjective experiences, personal narratives and individual perceptions in the context of routine interaction with the smartphone were thematically analyzed through a reiterative process in an effort to detect prevailing threads and recurring subthemes.Results: The smartphone has established a pervasive presence in college students’ everyday life. Time-based use characteristics generated a typology of four distinct user groups: hypo-connected antagonists, balanced majority, hyper-connected enthusiasts, and indulgent zealots. Habitual usage falls on predictable patterns matched onto temporal, locale-based and contextual cues and triggers. Students’ dependency relationships with the smartphone have both functional and emotional dimensions, as prominently manifested in occasions of detachment from the device. Self-regulatory effort in monitoring and limiting use is significantly impacted by mental focus and personal goal setting. Perspectives from our qualitative data suggest the need for taking into account a variety of contextual cues and situational factors in dissecting psychological and emotional outcomes of smartphone use and abuse.

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Section: Interviewee Demographics and User Typologymentioning

confidence: 77%

Smartphone Use and Psychological Well-Being Among College Students in China: A Qualitative Assessment

Cheng

Tai

2021

Front. Psychol.

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“…Among them, alpha-beta-gamma spectral power is based on the frequency bands associated with IA summarized from previous studies. Compared with the traditional questionnaire analysis [25] and biostatistics method [26], we have obtained more convincing quantitative results, and the accuracy is higher than the current SVM algorithm used for diagnosing IA [27]. In particular, the CNN model achieves 87.59% accuracy, 88.80% sensitivity, and 86.41% specificity based on full spectral power data.…”

Section: Introductionmentioning

confidence: 89%

EEG Signals Based Internet Addiction Diagnosis Using Convolutional Neural Networks

et al. 2022

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Internet addiction (IA), as a new and often unrecognized psychosocial disorder, endangers people’s health and their lives. However, the common biometric analysis based on the combination of EEG signals and results of questionnaires is not quantitative, and thus difficult to ensure a specific biomarker. This work aims to develop a deep learning algorithm (no need to identify biomarkers) used for diagnosing IA and evaluating therapy efficacy. Herein, a five-layer CNN model combined with a fast Fourier transform is proposed to diagnose IA quantitatively. This algorithm is validated in the Lemon dataset by using it to process raw data, full spectral power, and alpha-beta-gamma spectral power (related to IA). In contrast to alpha-beta-gamma spectral power, the results based on full spectral power show better performance (87.59% accuracy, 88.80% sensitivity, and 86.41% specificity), which confirms that the proposed algorithm can diagnose IA without biomarkers. In addition, this proposed CNN model presents obvious advantages in processing raw data, achieving 81.1% accuracy. Such results verify that this method can contribute to the reduction of diagnosis time and be potentially used in real-time health monitoring systems. This work provides a quantitative approach to diagnose IA and evaluate therapy efficacy, as a general strategy, and can be widely used in other disorder diagnoses that affect EEG signals, such as psychiatric disorders, substance dependence, and depression.

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“…The scores of Extraversion were summed of the scores of item 1R and item 6, the scores of Agreeableness were combined with the scores of item 2 and 7R, Conscientiousness as 3R and 8, Neuroticism as 4R+9, and Openness as 5R+10 (R = item is reversed-scored). Several studies have shown that BFI-10 has good reliability and validity ( 27 – 29 ). In a previous study, the reliability levels of the BFI-10 proved satisfactory using Cronbach's α analysis: Extraversion (α = 0.723), Agreeableness (α = 0.759), Conscientiousness (α = 0.786), Neuroticism (α = 0.753) and Openness to experience (α = 0.714) ( 30 ).…”

Section: Methodsmentioning

confidence: 99%

The current status and factors related to the preparation of home first-aid kits in China

Zhang

Lyu

et al. 2022

Front. Public Health

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BackgroundHome first-aid kits can play an important role when residents are injured, suddenly become seriously ill or suffer from disasters.PurposeTo explore the home first-aid kit preparedness of Chinese residents and the relationship between demographic sociological characteristics, self-efficacy, Big Five personality, health literacy and home first-aid kit preparation behavior.MethodsA cross-sectional study was conducted. Information was collected through a self-designed questionnaire consisting of sociological characteristics, the New General Self-Efficacy Scale (NGSES), the Health Literacy Scale Short-Form (HLS-SF12), and the 10-item short version of Big Five Inventory (BFI-10). Rank sum test, Chi-square test, and logistic regression were used to explore the relationship between independent variables and home first-aid kit preparation behavior.ResultsA total of 9,344 respondents were included, and 2,156 (23.07%) prepared home first-aid kits. Among the respondents who had prepared their home first-aid kits, disinfection supplies (85.20%), medical masks (84.51%), commonly used drugs (82.79%) were the most frequently available. The respondents whose geographic area was Central and Western China, permanent residence in the urban area, secondary education or above, monthly income of 3,000 RMB or above, health care cost-bearing method mainly resident health insurance, high subgroup of self-efficacy, high subgroup of health care dimension in health literacy, and whose openness and conscientiousness was high subgroup were more likely to prepare home first-aid kits (P < 0.05).ConclusionThe preparation rate for home first-aid kits in China is less than a quarter. The public's home first-aid kit preparation behavior is related to demographic characteristics, self-efficacy, health literacy, and the openness of the Big Five personality. A multi-level linked national emergency literacy education system should be established to enhance the residents' attention to home first-aid kits and improve the residents' ability to prevent emergencies.

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Problematic Smartphone Use—Comparison of Students With and Without Problematic Smartphone Use in Light of Personality

Cited by 24 publications

References 60 publications

Smartphone Use and Psychological Well-Being Among College Students in China: A Qualitative Assessment

Smartphone Use and Psychological Well-Being Among College Students in China: A Qualitative Assessment

EEG Signals Based Internet Addiction Diagnosis Using Convolutional Neural Networks

The current status and factors related to the preparation of home first-aid kits in China

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