Hedonic use, stress, and life satisfaction as predictors of smartphone addiction

Vujić, Aleksandar; Szabó, Attila

doi:10.1016/j.abrep.2022.100411

Cited by 49 publications

(43 citation statements)

References 63 publications

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“…Although they are relatively scant, some studies are also conducted in other countries such as Korea (n=3) [42], [43], [46], India (n=2) [33], [48], Malaysia (n=2) [14], [24], Turkey (n=2) [38], [39], United States (n=1) [13], Canada (n=1) [34], Netherlands (n=1) [31], Brazil (n=1) [49], Oman (n=1) [40], and Lebanon (n=1) [30]. There are also studies that have not specified the location of studies (n=3) [32], [37], [50].…”

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

“…Other studies have sampled middle school students (n=2) [12], [23], high school students (n=2) [18], [21], a mix of middle school students and high school students (n=1) [20], and a mix of middle school students, high school students, and college/university students (n=1) [45]. Apart from various student sample sets, some studies have also sampled from general population (n=1) [31], general adults (n=3) [37], [49], [50], generation X and Y adults (1) [32], and patients with schizophrenia (n=1) [43]. The sample size of the studies reviewed are highly varied, which ranges from 96 (n=1) [49] to 5109 samples (n=1) [45].…”

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

“…The sample size of the studies reviewed are highly varied, which ranges from 96 (n=1) [49] to 5109 samples (n=1) [45]. Of these, majority of the studies reviewed have used 100-500 participants (n=16) [12], [13], [23], [29], [30]- [34], [37], [39], [40], [43], [46], [48], [50]. Other studies reviewed have involved 500-1,000 (n=13) [14], [17], [18], [21], [22], [24], [27], [28], [36], [38], [41], [42], [44], 1,000-2,000 (n=3) [20], [35], [47], and 2,000-3,000 participants (n=1) [19].…”

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

“…Regarding sampling methods, many studies reviewed have regrettably not specified their sampling method (n=15) [12], [19], [20], [21], [22], [24], [31], [32], [34], [38], [42], [43], [46], [49], [50]. Among those studies that have specified their sampling method, the most reported sampling method is convenience sampling (n=15) [13], [17], [18], [23], [27], [28], [29], [33], [35], [36], [37], [39], [40], [47], [48]. The primary consideration of convenience sampling is "the ease with which potential participants can be located or recruited" [52].…”

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

“…Of these, the two most employed measures are Leung [53]'s mobile phone addiction index (MPAI) (n=9) [18], [21], [23], [27], [29], [35], [44], [45], [47] [19], [20], [24], [28], [30], [33], [41], [48], [49]. Apart from these, other measures used include Kwon et al [55]'s smartphone addiction scale (SAS) (n=3) [38], [40], [43], Su et al [56]'s smartphone addiction scale for college students (SAS-C) (n=3) [17], [22], [36], Kim et al [57]'s smartphone addiction proneness scale (SAPS) (n=4) [13], [14], [42], [46], Hong et al [58]'s mobile phone addiction scale (MPAS) (n=1) [12], Bianchi and Philips [59]'s mobile phone problem use (MPPUS) (n=1) [31], Foerster et al [60]'s 10-item mobile phone problem use scale (MPPUS-10) (n=1) [39], Csibi et al [61]'s smartphone application-based addiction scale (SABAS) (n=1) [37], Chóliz [62]'s test of mobile dependence (TMD) (n=1) [34], Billieux et al [63]'s problematic mobile phone use questionnaire (PMPUQ) (n=1)…”

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

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A systematic review on relationship between stress and problematic smartphone use

Wong

Yeo²,

Handayani³

2022

IJPHS

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This study systematically reviewed the existing research on relationship between stress and problematic smartphone use. It aimed to provide an aggregative view of the existing research findings on relationship between stress and problematic smartphone use and how these researches are conducted (i.e., research designs, sampling techniques, sample characteristics, measurement scales, data analysis techniques). A thorough literature research in five bibliographic databases (Taylor & Francis, Wiley, SAGE, SpringerLink, ScienceDirect), Google Scholars, and previous review papers has resulted in 35 studies being included in this review. This review has found that the existing empirical evidence generally demonstrated that i) stress can cause problematic smartphone use; ii) the effect of stress on problematic smartphone use is not straightforward but transmitted by other variables (i.e., mediator), and iii) the effect of stress on problematic smartphone use varies as a function of context or individual differences (i.e., moderator). Finally, following a thorough review of their methodological information, this review has also identified the strengths and limitations of the existing studies on relationship between stress and problematic smartphone use, as well as potential directions of research.

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Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

Section: Methodological Information Of the Studies Reviewedmentioning

confidence: 99%

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A systematic review on relationship between stress and problematic smartphone use

Wong

Yeo²,

Handayani³

2022

IJPHS

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Sports and exercise‐related smartphone use is antagonistic to hedonic use in regular exercisers: A cross‐sectional study examining the roles of exercise frequency and duration

Pirwani,

Szabo

2024

Health Science Reports

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BackgroundHedonic smartphone use has been associated with dependence and addiction studied under the umbrella term Problematic Smartphone Use (PSU). Research usually explores total screen time as an index of PSU. A few studies suggest that exercise is inversely related to smartphone use time. However, it is unknown which primary characteristics of exercise behavior are related to more moderate smarthone use. Furthermore, the purpose of smartphone use, such as hedonic use associated with PSU versus utilitarian use, was not tested in the sports and exercise contexts. Hedonic use generally means playing with the smartphone for joy, distraction, and satisfaction. Utilitarian use implies practical and valuable use. There is a conjecture that sports involvement may foster utilitarian use through increased involvement in sports‐related information‐seeking, goal‐setting, and self‐monitoring.MethodsTherefore, we examined whether weekly exercise frequency, workout duration, and perceived exercise intensity relate to total daily smarthone and hedonic use and whether this relationship is mediated by sports‐related utilitarian device use. We tested regularly exercising adults (n = 360, 132 males, Mage = 39.0 ± 9.8, Mweekly exercise = 5.8 ± 1.9) who volunteered for this study and provided demographic information about their exercise habits and smartphone use.ResultsThe results revealed that all exercise parameters mediated the total daily smartphone use, with perceived exercise intensity being a negative predictor. Further, exercise frequency and duration (but not intensity) positively predicted sports‐related smartphone use, which inversely predicted hedonic use.ConclusionThese results suggest that exercise parameters directly relate to daily smartphone use, which completely mediates hedonic use. These findings may partially account for the frequently reported inverse relationship between regular exercise and PSU by suggesting that the connection is mediated via sports‐related smartphone use.

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Exploring the Role of Mobile Technologies in Higher Education: The Impact of Online Teaching on Traditional Learning

Hossain

Nadi²,

Akhter³

et al. 2023

International Series in Operations Research &Amp; Management Science

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Hedonic use, stress, and life satisfaction as predictors of smartphone addiction

Cited by 49 publications

References 63 publications

A systematic review on relationship between stress and problematic smartphone use

A systematic review on relationship between stress and problematic smartphone use

Sports and exercise‐related smartphone use is antagonistic to hedonic use in regular exercisers: A cross‐sectional study examining the roles of exercise frequency and duration

Exploring the Role of Mobile Technologies in Higher Education: The Impact of Online Teaching on Traditional Learning

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