Association of Parental and Contextual Stressors With Child Screen Exposure and Child Screen Exposure Combined With Feeding

Cost, Katherine Tombeau; Korczak, Daphne J.; Charach, Alice; Birken, Catherine S.; Maguire, Jonathon L.; Parkin, Patricia C.; Szatmári, Péter

doi:10.1001/jamanetworkopen.2019.20557

Cited by 14 publications

(10 citation statements)

References 46 publications

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“…In total, longitudinal analyses were included from 11 studies ( Barber, 2017 , Bernard, 2017 , Detnakarintra, 2020 , Hish, 2021 , Hnatiuk, 2015 , Howe, 2017 , Krogh, et al, xxxx , Matarma, 2016 , Thompson, 2015 , Xu, 2016 ) and cross-sectional analyses from 45 studies ( Bernard, 2017 , Detnakarintra, 2020 , Howe, 2017 , Abbott, 2016 , Álvarez, et al, xxxx , Barr, 2010 , Berglind and Tynelius, 2017 , Birken, 2011 , Bleakley et al, 2013 , Brown, 2010 , Carson and Janssen, 2012 , Carson and Kuzik, 2017 , Carson et al, 2020 , Carson et al, 2014 , Contreras, et al, xxxx , Cowderoy, 2020 , De Craemer, 2015 , De Decker, 2015 , Downing, 2017 , Flores et al, 2005 , French, 2017 , Hinkley, 2017 , Khan, 2017 , Kim, et al, xxxx , Lee, 2018 , Lee, 2021 , Leppänen, 2020 , Määttä, 2017 , Määttä, 2017 , Morowatisharifabad et al, 2015 , Nikken and Schols, 2015 , Njoroge, 2013 , Rodrigues, et al, xxxx , Rodrigues, 2020 , Sanders, 2016 , Sijtsma, 2015 , Tang, 2018 , Thompson and Christakis, 2007 , Thompson, 2018 , Thompson, 2010 , Tombeau Cost, 2020 , Vaala and Hornik, 2014 , Waller, 2021 , Wang, 2020 , Wiseman et al, 2019 ). Sample sizes ranged from 62 to 10,700.…”

Section: Resultsmentioning

confidence: 99%

“…Sample sizes ranged from 62 to 10,700. Most studies included between 501 and 1000 participants (n = 18 studies) ( Bernard, 2017 , Matarma, 2016 , Thompson, 2015 , Álvarez, et al, xxxx , Berglind and Tynelius, 2017 , Carson and Janssen, 2012 , Carson et al, 2014 , Contreras, et al, xxxx , Downing, 2017 , French, 2017 , Hinkley, 2017 , Leppänen, 2020 , Määttä, 2017 , Määttä, 2017 , Nikken and Schols, 2015 , Njoroge, 2013 , Sijtsma, 2015 , Vaala and Hornik, 2014 ), and 17 studies included>1000 participants ( Barber, 2017 , Krogh, et al, xxxx , Álvarez, et al, xxxx , Brown, 2010 , Carson et al, 2020 , De Craemer, 2015 , De Decker, 2015 , Flores et al, 2005 , Khan, 2017 , Rodrigues, et al, xxxx , Rodrigues, 2020 , Thompson and Christakis, 2007 , Thompson, 2010 , Tombeau Cost, 2020 , Waller, 2021 , Wang, 2020 , Morrissey, 2014 ). Most studies were conducted among children with a mean age between 4 and 5 years (n = 19 studies) ( Abbott, 2016 , Álvarez, et al, xxxx , Berglind and Tynelius, 2017 , Brown, 2010 , Carson et al, 2020 , Contreras, et al, xxxx , De Craemer, 2015 , De Decker, 2015 , Downing, 2017 , Khan, 2017 , Leppänen, 2020 , Määttä, 2017 , Määttä, 2017 , Morowatisharifabad et al, 2015 , Njoroge, 2013 , Rodrigues, 2020 , Sanders, 2016 , Waller, 2021 , …”

Section: Resultsmentioning

confidence: 99%

“…Most studies were conducted among children with a mean age between 4 and 5 years (n = 19 studies) ( Abbott, 2016 , Álvarez, et al, xxxx , Berglind and Tynelius, 2017 , Brown, 2010 , Carson et al, 2020 , Contreras, et al, xxxx , De Craemer, 2015 , De Decker, 2015 , Downing, 2017 , Khan, 2017 , Leppänen, 2020 , Määttä, 2017 , Määttä, 2017 , Morowatisharifabad et al, 2015 , Njoroge, 2013 , Rodrigues, 2020 , Sanders, 2016 , Waller, 2021 , Wiseman et al, 2019 ), while four studies were conducted in children aged 2-to-3-years ( Bernard, 2017 , Detnakarintra, 2020 , Hish, 2021 , Howe, 2017 ). Six studies were conducted in children under age 1 ( Barber, 2017 , Hnatiuk, 2015 , Krogh, et al, xxxx , Cowderoy, 2020 , Tombeau Cost, 2020 , Morrissey, 2014 ), five in children aged 1–2 years ( Matarma, 2016 , Xu, 2016 , Carson and Kuzik, 2017 , Flores et al, 2005 , Lee, 2018 ), nine studies in children aged 3–4 years ( Thompson, 2015 , Birken, 2011 , Carson and Janssen, 2012 , Hinkley, 2017 , Lee, 2021 , Nikken and Schols, 2015 , Sijtsma, 2015 , Tang, 2018 , Thompson, 2018 ) and ten studies across a wider age range ( Barr, 2010 , Bleakley et al, 2013 , Carson et al, 2014 , French, 2017 , Kim, et al, xxxx , Thompson and Christakis, 2007 , Thompson, 2010 , Vaala and Hornik, 2014 , Wang, 2020 , ...…”

Section: Resultsmentioning

confidence: 99%

“…Six studies were conducted in children under age 1 ( Barber, 2017 , Hnatiuk, 2015 , Krogh, et al, xxxx , Cowderoy, 2020 , Tombeau Cost, 2020 , Morrissey, 2014 ), five in children aged 1–2 years ( Matarma, 2016 , Xu, 2016 , Carson and Kuzik, 2017 , Flores et al, 2005 , Lee, 2018 ), nine studies in children aged 3–4 years ( Thompson, 2015 , Birken, 2011 , Carson and Janssen, 2012 , Hinkley, 2017 , Lee, 2021 , Nikken and Schols, 2015 , Sijtsma, 2015 , Tang, 2018 , Thompson, 2018 ) and ten studies across a wider age range ( Barr, 2010 , Bleakley et al, 2013 , Carson et al, 2014 , French, 2017 , Kim, et al, xxxx , Thompson and Christakis, 2007 , Thompson, 2010 , Vaala and Hornik, 2014 , Wang, 2020 , Rodrigues, 2021 ). Most studies were conducted in North America (n = 23 studies) ( Hish, 2021 , Thompson, 2015 , Barr, 2010 , Birken, 2011 , Bleakley et al, 2013 , Carson and Janssen, 2012 , Carson and Kuzik, 2017 , Carson et al, 2020 , Carson et al, 2014 , Contreras, et al, xxxx , Khan, 2017 , Lee, 2018 , Lee, 2021 , Njoroge, 2013 , Sanders, 2016 , Tang, 2018 , Thompson and Christakis, 2007 , Thompson, 2018 , Thompson, 2010 , Tombeau Cost, 2020 , Vaala and Hornik, 2014 , Waller, 2021 , Morrissey, 2014 ), followed by Europe (n = 16 studies) ( …”

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Correlates of screen time in the early years (0–5 years): A systematic review

Veldman¹,

Altenburg²,

Chinapaw³

et al. 2023

Preventive Medicine Reports

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Correlates of screen time in the early years (0–5 years): A systematic review

Veldman¹,

Altenburg²,

Chinapaw³

et al. 2023

Preventive Medicine Reports

View full text Add to dashboard Cite

“…A recent study showed that workers in the Malaysian public sector frequently experienced work-life conflict as they had difficulty in coping with the pressures of integrating their work and personal lives as a result of the long and inconsistent working hours [54]. This could in turn lead to parenting stress that acts as a potential parental barrier in the reduction of screen time exposure in children [45,55].…”

Section: Principal Findingsmentioning

confidence: 99%

Predictors of Parental Barriers to Reduce Excessive Child Screen Time Among Parents of Under-Five Children in Selangor, Malaysia: Cross-sectional Study

Mansor¹,

Ahmad²,

Raj³

et al. 2021

J Med Internet Res

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Background Globally, there is an increasing prevalence of excessive screen time exposure among young children, including in Malaysia. Parents are advised to limit this exposure, but there are barriers for many of them to follow this recommendation. To date, there is a lack of research on the factors that cause these parental barriers. Objective This study aimed to determine the parental barrier toward the reduction of excessive child screen time and its predictors among parents of children aged younger than 5 years in the Petaling District, Selangor, Malaysia. Methods A cross-sectional study was conducted from April 2019 to June 2020 among 789 parent-child dyads attending child health clinics in the Petaling District. Validated self-administered questionnaires were used to capture information on sociodemographic, parental, child-related, and environmental factors and parental barriers. Stratified sampling with probability proportionate to size was employed. Data were analyzed using SPSS Statistics version 25 (IBM Corp). Descriptive analysis and bivariable analysis were performed before multiple linear regression was used to identify predictors of parental barriers. Results The overall mean score of parental barriers was 3.51 (SD 0.83), indicating that the average numbers of barriers experienced by parents were more than 3. The multivariable analysis showed that the predictors of parental barriers included monthly household income (adjusted β=–.03, 95% CI –0.05 to –0.02), parents who worked in public sectors (adjusted β=.18, 95% CI 0.06 to 0.29), positive parental attitude on screens (adjusted β=.68, 95% CI 0.58 to 0.79), low parent self-efficacy to influence child’s physical activity (adjusted β=–.32, 95% CI –0.43 to –0.20), and child screen time (adjusted β=.04, 95% CI 0.02 to 0.06). Conclusions The strongest predictor of parental barriers to reduce excessive child screen time was the positive parental attitude on screen time which could contribute to their abilities to limit child screen time. Thus, future intervention strategies should aim to foster correct parental attitudes toward screen time activities among young children.

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Parental risk factors and moderators of prolonged digital use in preschoolers: A meta-analysis

Qian,

Wang,

2024

Educ Inf Technol

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Prolonged digital use is prevalent among young children. Still, it is unclear which parental risk factors contribute to this and whether cultural background (western vs. non-western) and parental role (mother vs. father/parents) could moderate this impact. A systematic literature search identified 52 empirical studies with 54,334 children in a random-effects meta-analysis. The analysis revealed that preschoolers’ prolonged digital use was significantly associated with parental digital use (r = .24, 95%CI [0.17, 0.30]), low socioeconomic status (r = .10, 95%CI [0.08, 0.13]), and passive parenting behavior (r = .17, 95%CI [0.10, 0.25]), and significantly but weakly correlated with psychological distress (r = .15, 95%CI [0.07, 0.23]). There were effect size differences between the sub-items in both passive parenting behavior and psychological distress factors. In addition, cultural background moderated the associations between preschoolers’ digital use and parents' digital use (Q = 8.38, p < .01) and passive parenting behaviors (Q = 3.32, p = .06). In contrast, the moderating effects of the parental role were not significant (Qs < 4.16, ps > .13). These findings suggest that specific items of parental factor, particularly those related to parenting practices, should be considered as the risks of preschoolers’ prolonged digital use. Future studies should pay more attention to cultural differences and the roles of fathers.

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Association of Parental and Contextual Stressors With Child Screen Exposure and Child Screen Exposure Combined With Feeding

Cited by 14 publications

References 46 publications

Correlates of screen time in the early years (0–5 years): A systematic review

Correlates of screen time in the early years (0–5 years): A systematic review

Predictors of Parental Barriers to Reduce Excessive Child Screen Time Among Parents of Under-Five Children in Selangor, Malaysia: Cross-sectional Study

Parental risk factors and moderators of prolonged digital use in preschoolers: A meta-analysis

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