Predictors of Parental Mediation Regarding Children's Smartphone Use

Hwang, Yong Woo; Jeong, Se Hoon

doi:10.1089/cyber.2015.0286

Cited by 64 publications

(40 citation statements)

References 26 publications

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“…Furthermore, a majority of respondents also endorsed their teens' self-and response-efficacy to ensure online safety in the face of risks. Similar results are also evident in past studies, highlighting the significance of parental threat and coping appraisal to mediation [23]. Furthermore, the results also indicate that those parents who reported high self-esteem amongst their teens were more likely to apply active co-use, internet safety mediation and monitoring.…”

Section: Discussionsupporting

confidence: 87%

“…Coping appraisal also highlights parents' own digital skills, which help them to evaluate their teens' responses and self-efficacy. Hence, taken altogether, PMT proposes that PM could be considered as self-protective behaviour against adversity and online risks [23,24]. This adversity could be overcome through teens' higher self-esteem and resilience.…”

Section: Introductionmentioning

confidence: 99%

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Predictors of parental mediation in teenagers’ internet use: A cross-sectional study of female caregivers in Lahore, Pakistan

Iqbal

Zakar

Fischer

2020

Preprint

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Background The internet has become the most widely used medium among teenagers, who spend much of their time online, which raises parental concerns. Notwithstanding teens’ increased internet use and exposure to online risks, little is yet known about parental internet mediation in local settings. The present research aimed to assess the various dimensions of parental mediation to regulate teens’ use of the internet, and their predictors.Methods A cross-sectional survey was conducted in the district of Lahore, Pakistan, among mothers/female caregivers of teens (aged 13–19 years). Only women were interviewed because they are more frequently engaged as primary caregivers than fathers or male caregivers. Furthermore, only qualified and working mothers from the top two professions among women, i.e. academia and medicine, were interviewed. A stratified random sampling technique was adopted, and 347 mothers were interviewed using face-to-face interviews at 11 universities and 11 hospitals/medical colleges. Data was entered and analysed using descriptive, bivariate and multivariate logistic regression analyses.Results The findings highlighted that more than 65% of respondents applied high active mediation of internet safety, around 60% used high active co-use mediation and more than 56% applied restrictive mediation. In addition, 36% of respondents monitored and 15.3% technically mediated to regulate their teens’ use of the internet. The results of the multivariate logistic regression revealed that the majority of respondents were more inclined to adopt active internet safety mediation if they had teens aged 16–19 years, with medium internet addiction, possessed good digital skills, felt confident about their teens’ coping appraisal to perform online protection, and considered their teens to have high self-esteem and resilience.Conclusions This research found that parental internet mediation is a multi-faceted concept used to regulate teens’ online activity and enhance a resilient approach to reduce the risks associated with use of the internet. The researchers recommend developing parental guidelines, e-safety resource material, local support networks and community programmes to educate parents, teachers and teens in order to raise awareness and promote resilient pathways amongst teens.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Predictors of parental mediation in teenagers’ internet use: A cross-sectional study of female caregivers in Lahore, Pakistan

Iqbal

Zakar

Fischer

2020

Preprint

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“…Children are a major consumer group for apps and subsequently present an opportunity to target the management of overweight in this population [16][17][18][19]. Apps thus represent a potentially effective medium for monitoring health parameters, interacting with individuals, and disseminating lifestyle interventions.…”

Section: Mobile Applications To Support Health (Mhealth)mentioning

confidence: 99%

Health apps targeting children with overweight—a protocol for a systematic review with meta-analysis and Trial Sequential Analysis of randomised clinical trials

et al. 2020

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Background: The prevalence of overweight is increasing worldwide in children. Multi-component interventions incorporating diet, physical activity, and behavioural change have been shown to reduce body mass index (BMI). Whilst many children have their own smartphone, the clinical effects of using smartphone applications (apps) for overweight are unknown. This systematic review aims to ascertain the effects of mHealth apps in children with overweight.

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“…Restricted parenting has been shown to lead to a higher chance of smartphone addiction (Lee & Lee, 2016). Also, it affects the parental mediation behavior of children's media use (Hwang & Jeong, 2015). 14)…”

Section: Parenting Style and Attachmentmentioning

confidence: 99%

Untitled

2017

IAFOR J Psychol Behav Sci

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Independent mood traits comprise three primary components -pleasure, arousal, and dominance (Mehrabian, 1996). Forecasting these traits is beneficial for several subjects, such as behavioral science, cognitive science, decision making, mood disorders treatment, and virtual character development in artificial intelligence. In this study, an extended model is proposed to predict independent mood components based on the emotion and mood history of 108 individuals with different backgrounds and personalities. Emotion history of all these individuals was recorded hourwise for six days, and their daily mood history obtained. The proposed model consists of various types of statistical forecasting methods, such as Holt-Winter's additive model and seasonal time series model, by integrating current known appraisal theories and aided by mood history probability distribution. The predicted values for the seventh day and the trend of the outcome results reveal that: (1) Pleasure mood trait trend varies significantly between individuals, but it can be considered as predictable; (2) Arousal mood trait is unpredictable for a short time interval; however, it is possible to have close predictions over long time intervals. (3) Dominance mood trait can be predicted for a short time interval, but not for a long time interval. These findings can shed light on the way mood states and behavior of human beings can be predicted.As expected, personality traits of these individuals differed significantly from each other. As soon as the OCEAN personality traits of the individuals were obtained, their initial PAD traits were also measured by the mapping explained in section 2.2. For example, for one of the individuals Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism were found to be 0.65, 0.97, 0.35, 0.60, and 0.45, respectively. Therefore, by using the mentioned mapping from OCEAN personality traits to PAD (Mehrabian, 1996; Gebhard, 2004), the participant's initial pleasure, arousal, and dominance traits were found to be 0.51, 0.02, and 0.34, respectively. Table 1 made it possible to create time series data for emotion states regarding PAD mood traits. Different types of time series forecasting models were suggested by using SPSS for each mood component of each individual with 95 percent confidence. It has been observed that the trends for pleasure mood component differed significantly from one person to another, but it had a predictable direction for more than 98 percent of individuals. On The mapping illustrated in

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Predictors of Parental Mediation Regarding Children's Smartphone Use

Cited by 64 publications

References 26 publications

Predictors of parental mediation in teenagers’ internet use: A cross-sectional study of female caregivers in Lahore, Pakistan

Predictors of parental mediation in teenagers’ internet use: A cross-sectional study of female caregivers in Lahore, Pakistan

Health apps targeting children with overweight—a protocol for a systematic review with meta-analysis and Trial Sequential Analysis of randomised clinical trials

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