Beyond Screen Time: A Synergistic Approach to a More Comprehensive Assessment of Family Media Exposure During Early Childhood

Barr, Rachel; Kirkorian, Heather L.; Radesky, Jenny; Coyne, Sarah M.; Nichols, Deborah L.; Blanchfield, Olivia A.; Rusnak, Sylvia N.; Stockdale, Laura; Ribner, Andrew; Durnez, Joke; Epstein, Mollie; Heimann, Mikael; Koch, Felix‐Sebastian; Sundqvist, Annette; Thornberg, Ulrika Birberg; Konrad, Carolin; Slussareff, Michaela; Bus, Adriana G.; Bellagamba, Francesca; Fitzpatrick, Caroline

doi:10.3389/fpsyg.2020.01283

Cited by 89 publications

(109 citation statements)

References 64 publications

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“…Despite the common focus on measuring the amount of time that youth spend with screen media devices, research suggests that this is not the most important factor when considering an individual's physical and mental health (Domoff et al, 2019). Instead of only measuring number of hours spent using a mobile device or watching television, measures of media use also need to assess the context and content of these hours (Barr et al, 2020). Depending on when and where youth are using screen media (i.e., the context), this use could interfere with important daily activities, including schoolwork, socializing, and sleep.…”

Section: Measurement Of Mobile Device Usementioning

confidence: 99%

“…For example, Yuan et al (2019) described the development and utility of a passive sensing app for measuring adults' (i.e., parents') smartphone screen time (SST) and, recently, Radesky et al (2020) piloted an app to measure mobile device usage in young children. Additionally, the Comprehensive Assessment of Family Media Exposure (CAFE) Consortium has proposed a novel approach for assessing a multitude of digital media use among family members, including a passive sensing feature (see Barr et al, 2020 for this innovative approach). These seminal studies indicate that passive sensing as a method for measuring SST is feasible and acceptable to adult participants and parents of young children.…”

Section: Novel Measures Of Mobile Device Usementioning

confidence: 99%

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Use of passive sensing to quantify adolescent mobile device usage: Feasibility, acceptability, and preliminary validation of the eMoodie application

Domoff

Banga²,

Borgen

et al. 2021

Human Behav and Emerg Tech

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Utilizing the built‐in features of smartphones, a novel app “eMoodie” (http://www.emoodie.com) was developed which passively collects information on app and smartphone/tablet usage including duration and time of use. Youth in the US and UK participated in piloting and validating eMoodie. In the first study, we evaluated the feasibility and acceptability of eMoodie in a sample of 23 parent–child dyads (N = 46), with children ages 10–12 years. Children downloaded eMoodie onto their device, which collected information on their screen time and app usage for seven consecutive days. Children responded to notifications via eMoodie to complete ecological momentary assessments (EMA) on wellbeing and digital media use. In the second study, caregiver‐child dyads participated (N = 526) in a study conducted in Edinburgh, Scotland. Early adolescents (ages 11 to 14) participated in a remote study using eMoodie involving an EMA component, questionnaires, and passive sensing data collection over a 7‐day EMA study. To examine the preliminary validity of using eMoodie, we evaluated whether app‐enabled research may alter the behavior being studied. As youth are increasingly using mobile devices, capturing objective use and evaluating the correlates of such use on development grows ever more important. Remote data capture will be essential to continuing developmental research that cannot be facilitated in face‐to‐face settings due to the ongoing pandemic. As the first empirical investigation into the utility of an app that objectively measures adolescents' smartphone use, we summarize lessons learned in implementing this novel methodology and future directions for the measurement of mobile media.

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Section: Measurement Of Mobile Device Usementioning

confidence: 99%

Section: Novel Measures Of Mobile Device Usementioning

confidence: 99%

Use of passive sensing to quantify adolescent mobile device usage: Feasibility, acceptability, and preliminary validation of the eMoodie application

Domoff

Banga²,

Borgen

et al. 2021

Human Behav and Emerg Tech

View full text Add to dashboard Cite

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“…5,9,10 Paradoxically, the use of smartphones, despite their potential for contact with others, might become an obstacle in everyday interactions 11,12 and will if used frequently disrupt parent-child interactions. 5,9,10,[13][14][15] Radesky et al 7 examined mothers' technology use in an observational study at a fast-food restaurant and found that mothers who focused on their DM device showed lower degrees of sensitivity to their child's attempts to communicate. Several children exhibited externalized attention-seeking behaviors when the mother distanced herself through the use of technology.…”

Section: Introductionmentioning

confidence: 99%

“…The survey consisted of 60 questions, covering demographic data, technology use, technoference and problematic cell phone use, and the child's behavior (Strengths and Difficulties Questionnaire [SDQ]). The media survey originates from the Comprehensive Assessment of Family Exposure (CAFE) tool,15 and the questions regarding technoference are adapted from McDaniel and Radesky 5. …”

mentioning

confidence: 99%

Relationship Between Family Technoference and Behavior Problems in Children Aged 4–5 Years

Sundqvist

Heimann

Koch

2020

Cyberpsychology, Behavior, and Social Networking

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Digital media (DM) is omnipresent in society today and impacts every aspect of our life. Previous studies have shown DM to cause problems in interpersonal relationships by creating problematic interruptions in interactions, this has been termed technoference. The current study focuses on parent's self-rated perceived technoference and the rated behavior of their 4-to 5-year-old children. Parents (N = 153) filled out an online questionnaire regarding family DM use and technoference as well as questions regarding their child's behavior. Parents rated the level of technoference caused by their own use of DM as well as the rate of technoference caused by the child's use of DM. Parents were also asked questions regarding their own possible problematic cell phone use. The findings reveal a statistically significant contribution of technoference, caused by the parents' use of DM, to the behavior repertoire of the children.

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“…Noise data were supplemented with a daily activity log from the Comprehensive Assessment of Family Media Exposure (café) Consortium assessment tools [23]. The diary was completed by the parent during the second home visit.…”

Section: Methodsmentioning

confidence: 99%

Investigating Cumulative Exposures among 3- to 4-Year-Old Children Using Wearable Ultrafine Particle Sensors and Language Environment Devices: A Pilot and Feasibility Study

Schultz

Malecki

Olson

et al. 2020

IJERPH

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Interdisciplinary approaches are needed to measure the additive or multiplicative impacts of chemical and non-chemical stressors on child development outcomes. The lack of interdisciplinary approaches to environmental health and child development has led to a gap in the development of effective intervention strategies. It is hypothesized that a broader systems approach can support more effective interventions over time. To achieve these goals, detailed study protocols are needed. Researchers in child development typically focus on psychosocial stressors. Less attention is paid to chemical and non-chemical stressors and how the interaction of these stressors may impact child development. This feasibility study aims to bridge the gap between child development and environmental epidemiology research by trialing novel methods of gathering ultrafine particle data with a wearable air sensor, while simultaneously gathering language and noise data with the Language Environment Analysis (LENA) system. Additionally, psychosocial data (e.g., parenting quality, caregiver depression, and household chaos) was gathered from parent reports. Child participants (age 3–4 years) completed cognitive tasks to assess self-regulation and receptive language skills, and provided a biospecimen analyzed for inflammatory biomarkers. Data collection was completed at two time points, roughly corresponding to fall and spring. Twenty-six participants were recruited for baseline data, and 11 participants completed a follow-up session. Preliminary results indicate that it is feasible to gather personal Particulate Matter (PM2.5), language, and noise data, cognitive assessments, and biospecimens from our sample of 3-4-year-old children. While there are obstacles to overcome when working with this age group, future studies can benefit from adapting lessons learned regarding recruitment strategies, study design, and protocol implementation.

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Beyond Screen Time: A Synergistic Approach to a More Comprehensive Assessment of Family Media Exposure During Early Childhood

Cited by 89 publications

References 64 publications

Use of passive sensing to quantify adolescent mobile device usage: Feasibility, acceptability, and preliminary validation of the eMoodie application

Use of passive sensing to quantify adolescent mobile device usage: Feasibility, acceptability, and preliminary validation of the eMoodie application

Relationship Between Family Technoference and Behavior Problems in Children Aged 4–5 Years

Investigating Cumulative Exposures among 3- to 4-Year-Old Children Using Wearable Ultrafine Particle Sensors and Language Environment Devices: A Pilot and Feasibility Study

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