Dataset Information

Development and Validation of the Problematic Media Use Measure: A Parent Report Measure of Screen Media "Addiction" in Children.

ABSTRACT: Although problematic media use among adolescents is of wide interest, less is known regarding problematic media use among younger children. The current study reports on the development and validation of a parent-report measure of one potential aspect of children's problematic use-screen media addiction-via the Problematic Media Use Measure (PMUM). Items were based on the nine criteria for Internet Gaming Disorder in the DSM-5. The first study describes the development and preliminary validation of the PMUM in a sample of 291 mothers. Mothers (80.8% identified as White) of children 4 through 11 years of age completed the PMUM and measures of child screen time and child psychosocial functioning. EFA indicated a unidimensional construct of screen media addiction. The final versions of the PMUM (27 items) and PMUM Short Form (PMUM-SF, 9 items) evidenced high internal consistency (Cronbach ? = .97 and ? = .93, respectively). Regression analyses were conducted to examine convergent validity of the PMUM with indicators of child psychosocial functioning. Convergent validity was supported and the PMUM scales also independently predicted children's total difficulties in functioning, over and above hours of screen time, indicating incremental validity. The second study sought to confirm the factor structure of the PMUM-SF and test for measurement invariance across gender. In a sample of 632 parents, we confirmed the factor structure of the PMUM-SF and found measurement invariance for boys and girls. These studies support the use of the PMUM-SF as a measure of screen media addiction in children ages 4 through 11 years old.

SUBMITTER: Domoff SE

PROVIDER: S-EPMC6411079 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Development and Validation of the Problematic Media Use Measure: A Parent Report Measure of Screen Media "Addiction" in Children.

Domoff Sarah E SE Harrison Kristen K Gearhardt Ashley N AN Gentile Douglas A DA Lumeng Julie C JC Miller Alison L AL

Psychology of popular media culture 20171116 1

Although problematic media use among adolescents is of wide interest, less is known regarding problematic media use among younger children. The current study reports on the development and validation of a parent-report measure of one potential aspect of children's problematic use-screen media addiction-via the Problematic Media Use Measure (PMUM). Items were based on the nine criteria for Internet Gaming Disorder in the DSM-5. The first study describes the development and preliminary validation ...[more]

PMID: 30873299

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Project description:BackgroundDigital technology use is nearly ubiquitous among young adults; this use provides both benefits and risks. The risks of technology use include maladaptive technology use or technology addiction. Several conceptualizations of these addictions have emerged, each with its own assessment tools. These conditions include problematic internet use (PIU), internet gaming disorder (IGD), and social media addiction (SMA). These conditions have been associated with health outcomes such as problematic alcohol use, sleep disorders, and mental illness. These maladaptive technology conditions have been most commonly studied in isolation from each other.ObjectiveThe aim of this study is to examine PIU, IGD, and SMA together to better inform future research approaches and provider screening practices for young adults.MethodsThis cross-sectional survey study was conducted using Qualtrics panel-based recruitment and survey hosting. We recruited US young adults aged 18-25 years. The survey assessed PIU, IGD, and SMA. Survey measures also included assessments of problematic alcohol use, sleep, depression, and anxiety. We evaluated the frequency of and overlap in positive screening scores among PIU, IGD, and SMA and modeled each condition using multivariate logistic regression. Finally, we calculated sensitivity and specificity, as well as the positive predictive value and negative predictive value of the screening tools using the most prevalent maladaptive technology type.ResultsOur 6000 participants had an average age of 21.7 (SD 2.5) years. Of these 6000 participants, 3062 (51.03%) were female, 3431 (57.18%) were Caucasian, 1686 (28.1%) were in a 4-year college program, and 2319 (38.65%) worked full time. The mean PIU score was 3.5 (SD 3.1), and 53.58% (3215/6000) of participants met the criteria for PIU. The mean IGD score was 2.7 (SD 2.6), and 24.33% (1460/6000) of participants met the criteria for IGD. The mean SMA score was 7.5 (SD 5.7), and 3.42% (205/6000) met the criteria for SMA. Across all 3 maladaptive technology use diagnoses, there were varied associations with demographic variables and similar overlap with health outcomes. The sensitivity of PIU screening to detect IGD was 82% and to detect SMA was 93%, whereas the specificity and positive predictive value were much lower (37%-54% specificity; 6%-37% positive predictive value).ConclusionsThis cross-sectional survey screened a large national sample of adolescents and young adults for PIU, IGD, and SMA to determine prevalence and overlap, demographic associations with each, and associations between these technology-related conditions and health outcomes. There was overlap across PIU, IGD, and SMA in some associated demographic variables and health outcomes. However, the patterns in the associated variables demonstrated unique qualities of each of these conditions.

Project description:BACKGROUND:Excess screen media use is a robust predictor of childhood obesity. Understanding how household factors may affect children's screen use is needed to tailor effective intervention efforts. The preschool years are a critical time for obesity prevention, and while it is likely that greater household disorder influences preschool-aged children's screen use, data on that relationship are absent. In this study, our goal was to quantify the relationships between household chaos and screen use in preschool-aged children. METHODS:A cross-sectional, online survey was administered to 385 parents of 2-5 year-olds recruited in 2017. Household chaos was measured with the Confusion, Hubbub and Order Scale (i.e., the chaos scale), a validated, parent-reported scale. The scale consists of 15 items, each scored on a 4-point Likert scale. Final scores were the sum across the 15 items and modeled as quartiles for analyses. Parents reported their children's screen use for nine electronic media activities. Adjusted linear and Poisson regression were used to model associations between household chaos and children's total weekly screen use, screen use within one hour of bedtime and screen use in the bedroom. RESULTS:Children averaged 31.0 (SD?=?23.8) hours per week with screens, 49.6% used screens within one hour of bedtime and 41.0% used screens in their bedrooms. In adjusted regression models, greater household chaos was positively associated with weekly screen use (P?=?0.03) and use of screens within one hour of bedtime (P?<?0.01) in a dose-dependent manner. Children in the fourth versus the first quartile of household chaos were more likely to use screens in their bedroom (P?=?0.03). CONCLUSIONS:Greater household chaos was associated with increased total screen use as well as screen use behaviors that are related to disrupted nighttime sleep. Findings suggest that household chaos may be an obesity risk factor during the preschool years because of such effects on screen use, and highlight the need to consider household chaos when implementing home-based obesity prevention programs for young children.

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Dataset Information

Development and Validation of the Problematic Media Use Measure: A Parent Report Measure of Screen Media "Addiction" in Children.

Publications

Development and Validation of the Problematic Media Use Measure: A Parent Report Measure of Screen Media "Addiction" in Children.

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