Young Children's screen habits: Identifying child and family contributors

Screen devices are an integral part of many young children's lives but less is known about how child and parent/family factors contribute to young children's screen habits. Our study examined the contribution of child and family demographic and behavioral factors for Chinese children'...
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Autor*in:	Tony Xing Tan [verfasserIn] Xilong Jing [verfasserIn] Wenliang Guan [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Screen device Screen time Screen frequency Screen purpose Contributors Preschool children

Übergeordnetes Werk:	In: Computers in Human Behavior Reports - Elsevier, 2021, 10(2023), Seite 100284-
Übergeordnetes Werk:	volume:10 ; year:2023 ; pages:100284-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.chbr.2023.100284

Katalog-ID:	DOAJ089704789

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520			\|a Screen devices are an integral part of many young children's lives but less is known about how child and parent/family factors contribute to young children's screen habits. Our study examined the contribution of child and family demographic and behavioral factors for Chinese children's weekday screen time, weekend screen time, daily frequency of using five devices, and purpose of screen device use. We collected baseline and follow-up data from parents of 255 children at a preschool in Beijing with an interval of 3 months (9/2021 and 12/2021; M = 4.41 years, SD = 0.80 at Follow-Up; Boys: 54.9%). Multiple regression analyses with the four outcome variables against six child-level and eight parent/family-level factors revealed that parent/family-level factors accounted for far more variance (10.1%–32.5%) than child-level factors (3.6%–5.0%) in predicting the outcome variables (βs = 0.19, p < .01 to .38, p < .001). Of all the variables, number of screen devices at home and frequency of the parent-child co-used screen devices were the only two factors that were most robust and significantly predicted all four outcome variables. Furthermore, different aspects of children's screen habits were related to overlapping and unique child and parent/family factors. To improve children's screen habits, interventions need to address the number of devices at home and the practice of parent-child co-using screen devices.
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allfields_unstemmed	10.1016/j.chbr.2023.100284 doi (DE-627)DOAJ089704789 (DE-599)DOAJb90aa8ede3eb4267b5ffe7947a0cc320 DE-627 ger DE-627 rakwb eng QA75.5-76.95 BF1-990 Tony Xing Tan verfasserin aut Young Children's screen habits: Identifying child and family contributors 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Screen devices are an integral part of many young children's lives but less is known about how child and parent/family factors contribute to young children's screen habits. Our study examined the contribution of child and family demographic and behavioral factors for Chinese children's weekday screen time, weekend screen time, daily frequency of using five devices, and purpose of screen device use. We collected baseline and follow-up data from parents of 255 children at a preschool in Beijing with an interval of 3 months (9/2021 and 12/2021; M = 4.41 years, SD = 0.80 at Follow-Up; Boys: 54.9%). Multiple regression analyses with the four outcome variables against six child-level and eight parent/family-level factors revealed that parent/family-level factors accounted for far more variance (10.1%–32.5%) than child-level factors (3.6%–5.0%) in predicting the outcome variables (βs = 0.19, p < .01 to .38, p < .001). Of all the variables, number of screen devices at home and frequency of the parent-child co-used screen devices were the only two factors that were most robust and significantly predicted all four outcome variables. Furthermore, different aspects of children's screen habits were related to overlapping and unique child and parent/family factors. To improve children's screen habits, interventions need to address the number of devices at home and the practice of parent-child co-using screen devices. Screen device Screen time Screen frequency Screen purpose Contributors Preschool children Electronic computers. Computer science Psychology Xilong Jing verfasserin aut Wenliang Guan verfasserin aut In Computers in Human Behavior Reports Elsevier, 2021 10(2023), Seite 100284- (DE-627)1736142224 24519588 nnns volume:10 year:2023 pages:100284- https://doi.org/10.1016/j.chbr.2023.100284 kostenfrei https://doaj.org/article/b90aa8ede3eb4267b5ffe7947a0cc320 kostenfrei http://www.sciencedirect.com/science/article/pii/S2451958823000179 kostenfrei https://doaj.org/toc/2451-9588 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 10 2023 100284-
allfieldsGer	10.1016/j.chbr.2023.100284 doi (DE-627)DOAJ089704789 (DE-599)DOAJb90aa8ede3eb4267b5ffe7947a0cc320 DE-627 ger DE-627 rakwb eng QA75.5-76.95 BF1-990 Tony Xing Tan verfasserin aut Young Children's screen habits: Identifying child and family contributors 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Screen devices are an integral part of many young children's lives but less is known about how child and parent/family factors contribute to young children's screen habits. Our study examined the contribution of child and family demographic and behavioral factors for Chinese children's weekday screen time, weekend screen time, daily frequency of using five devices, and purpose of screen device use. We collected baseline and follow-up data from parents of 255 children at a preschool in Beijing with an interval of 3 months (9/2021 and 12/2021; M = 4.41 years, SD = 0.80 at Follow-Up; Boys: 54.9%). Multiple regression analyses with the four outcome variables against six child-level and eight parent/family-level factors revealed that parent/family-level factors accounted for far more variance (10.1%–32.5%) than child-level factors (3.6%–5.0%) in predicting the outcome variables (βs = 0.19, p < .01 to .38, p < .001). Of all the variables, number of screen devices at home and frequency of the parent-child co-used screen devices were the only two factors that were most robust and significantly predicted all four outcome variables. Furthermore, different aspects of children's screen habits were related to overlapping and unique child and parent/family factors. To improve children's screen habits, interventions need to address the number of devices at home and the practice of parent-child co-using screen devices. Screen device Screen time Screen frequency Screen purpose Contributors Preschool children Electronic computers. Computer science Psychology Xilong Jing verfasserin aut Wenliang Guan verfasserin aut In Computers in Human Behavior Reports Elsevier, 2021 10(2023), Seite 100284- (DE-627)1736142224 24519588 nnns volume:10 year:2023 pages:100284- https://doi.org/10.1016/j.chbr.2023.100284 kostenfrei https://doaj.org/article/b90aa8ede3eb4267b5ffe7947a0cc320 kostenfrei http://www.sciencedirect.com/science/article/pii/S2451958823000179 kostenfrei https://doaj.org/toc/2451-9588 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 10 2023 100284-
allfieldsSound	10.1016/j.chbr.2023.100284 doi (DE-627)DOAJ089704789 (DE-599)DOAJb90aa8ede3eb4267b5ffe7947a0cc320 DE-627 ger DE-627 rakwb eng QA75.5-76.95 BF1-990 Tony Xing Tan verfasserin aut Young Children's screen habits: Identifying child and family contributors 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Screen devices are an integral part of many young children's lives but less is known about how child and parent/family factors contribute to young children's screen habits. Our study examined the contribution of child and family demographic and behavioral factors for Chinese children's weekday screen time, weekend screen time, daily frequency of using five devices, and purpose of screen device use. We collected baseline and follow-up data from parents of 255 children at a preschool in Beijing with an interval of 3 months (9/2021 and 12/2021; M = 4.41 years, SD = 0.80 at Follow-Up; Boys: 54.9%). Multiple regression analyses with the four outcome variables against six child-level and eight parent/family-level factors revealed that parent/family-level factors accounted for far more variance (10.1%–32.5%) than child-level factors (3.6%–5.0%) in predicting the outcome variables (βs = 0.19, p < .01 to .38, p < .001). Of all the variables, number of screen devices at home and frequency of the parent-child co-used screen devices were the only two factors that were most robust and significantly predicted all four outcome variables. Furthermore, different aspects of children's screen habits were related to overlapping and unique child and parent/family factors. To improve children's screen habits, interventions need to address the number of devices at home and the practice of parent-child co-using screen devices. Screen device Screen time Screen frequency Screen purpose Contributors Preschool children Electronic computers. Computer science Psychology Xilong Jing verfasserin aut Wenliang Guan verfasserin aut In Computers in Human Behavior Reports Elsevier, 2021 10(2023), Seite 100284- (DE-627)1736142224 24519588 nnns volume:10 year:2023 pages:100284- https://doi.org/10.1016/j.chbr.2023.100284 kostenfrei https://doaj.org/article/b90aa8ede3eb4267b5ffe7947a0cc320 kostenfrei http://www.sciencedirect.com/science/article/pii/S2451958823000179 kostenfrei https://doaj.org/toc/2451-9588 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 10 2023 100284-
language	English
source	In Computers in Human Behavior Reports 10(2023), Seite 100284- volume:10 year:2023 pages:100284-
sourceStr	In Computers in Human Behavior Reports 10(2023), Seite 100284- volume:10 year:2023 pages:100284-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Screen device Screen time Screen frequency Screen purpose Contributors Preschool children Electronic computers. Computer science Psychology
isfreeaccess_bool	true
container_title	Computers in Human Behavior Reports
authorswithroles_txt_mv	Tony Xing Tan @@aut@@ Xilong Jing @@aut@@ Wenliang Guan @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	1736142224
id	DOAJ089704789
language_de	englisch
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author	Tony Xing Tan
spellingShingle	Tony Xing Tan misc QA75.5-76.95 misc BF1-990 misc Screen device misc Screen time misc Screen frequency misc Screen purpose misc Contributors misc Preschool children misc Electronic computers. Computer science misc Psychology Young Children's screen habits: Identifying child and family contributors
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title	Young Children's screen habits: Identifying child and family contributors
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title_full	Young Children's screen habits: Identifying child and family contributors
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title_sort	young children's screen habits: identifying child and family contributors
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title_auth	Young Children's screen habits: Identifying child and family contributors
abstract	Screen devices are an integral part of many young children's lives but less is known about how child and parent/family factors contribute to young children's screen habits. Our study examined the contribution of child and family demographic and behavioral factors for Chinese children's weekday screen time, weekend screen time, daily frequency of using five devices, and purpose of screen device use. We collected baseline and follow-up data from parents of 255 children at a preschool in Beijing with an interval of 3 months (9/2021 and 12/2021; M = 4.41 years, SD = 0.80 at Follow-Up; Boys: 54.9%). Multiple regression analyses with the four outcome variables against six child-level and eight parent/family-level factors revealed that parent/family-level factors accounted for far more variance (10.1%–32.5%) than child-level factors (3.6%–5.0%) in predicting the outcome variables (βs = 0.19, p < .01 to .38, p < .001). Of all the variables, number of screen devices at home and frequency of the parent-child co-used screen devices were the only two factors that were most robust and significantly predicted all four outcome variables. Furthermore, different aspects of children's screen habits were related to overlapping and unique child and parent/family factors. To improve children's screen habits, interventions need to address the number of devices at home and the practice of parent-child co-using screen devices.
abstractGer	Screen devices are an integral part of many young children's lives but less is known about how child and parent/family factors contribute to young children's screen habits. Our study examined the contribution of child and family demographic and behavioral factors for Chinese children's weekday screen time, weekend screen time, daily frequency of using five devices, and purpose of screen device use. We collected baseline and follow-up data from parents of 255 children at a preschool in Beijing with an interval of 3 months (9/2021 and 12/2021; M = 4.41 years, SD = 0.80 at Follow-Up; Boys: 54.9%). Multiple regression analyses with the four outcome variables against six child-level and eight parent/family-level factors revealed that parent/family-level factors accounted for far more variance (10.1%–32.5%) than child-level factors (3.6%–5.0%) in predicting the outcome variables (βs = 0.19, p < .01 to .38, p < .001). Of all the variables, number of screen devices at home and frequency of the parent-child co-used screen devices were the only two factors that were most robust and significantly predicted all four outcome variables. Furthermore, different aspects of children's screen habits were related to overlapping and unique child and parent/family factors. To improve children's screen habits, interventions need to address the number of devices at home and the practice of parent-child co-using screen devices.
abstract_unstemmed	Screen devices are an integral part of many young children's lives but less is known about how child and parent/family factors contribute to young children's screen habits. Our study examined the contribution of child and family demographic and behavioral factors for Chinese children's weekday screen time, weekend screen time, daily frequency of using five devices, and purpose of screen device use. We collected baseline and follow-up data from parents of 255 children at a preschool in Beijing with an interval of 3 months (9/2021 and 12/2021; M = 4.41 years, SD = 0.80 at Follow-Up; Boys: 54.9%). Multiple regression analyses with the four outcome variables against six child-level and eight parent/family-level factors revealed that parent/family-level factors accounted for far more variance (10.1%–32.5%) than child-level factors (3.6%–5.0%) in predicting the outcome variables (βs = 0.19, p < .01 to .38, p < .001). Of all the variables, number of screen devices at home and frequency of the parent-child co-used screen devices were the only two factors that were most robust and significantly predicted all four outcome variables. Furthermore, different aspects of children's screen habits were related to overlapping and unique child and parent/family factors. To improve children's screen habits, interventions need to address the number of devices at home and the practice of parent-child co-using screen devices.
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title_short	Young Children's screen habits: Identifying child and family contributors
url	https://doi.org/10.1016/j.chbr.2023.100284 https://doaj.org/article/b90aa8ede3eb4267b5ffe7947a0cc320 http://www.sciencedirect.com/science/article/pii/S2451958823000179 https://doaj.org/toc/2451-9588
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Our study examined the contribution of child and family demographic and behavioral factors for Chinese children's weekday screen time, weekend screen time, daily frequency of using five devices, and purpose of screen device use. We collected baseline and follow-up data from parents of 255 children at a preschool in Beijing with an interval of 3 months (9/2021 and 12/2021; M = 4.41 years, SD = 0.80 at Follow-Up; Boys: 54.9%). Multiple regression analyses with the four outcome variables against six child-level and eight parent/family-level factors revealed that parent/family-level factors accounted for far more variance (10.1%–32.5%) than child-level factors (3.6%–5.0%) in predicting the outcome variables (βs = 0.19, p < .01 to .38, p < .001). Of all the variables, number of screen devices at home and frequency of the parent-child co-used screen devices were the only two factors that were most robust and significantly predicted all four outcome variables. 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