39 datasets found
  1. U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic 2020 [Dataset]. https://www.statista.com/statistics/1189204/us-teens-children-screen-time-daily-coronavirus-before-during/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    United States
    Description

    As of June 2020, ** percent of parents to U.S. teens aged 14 to 17 years stated that their kids were spending more than four hours per day on electronic devices since the start of the COVID-19 pandemic. Only ** percent of responding parents stated that their teens had used electronic devices daily for more than four hours before the COVID-19 pandemic. Overall, the pandemic triggered a rise in the use of electronic devices among American children under 13 and teenagers with screentime now double that of what it used to be across all age groups. YouTube, Netflix and Instagram dominateIn an ongoing survey between 2015 and 2020 it was reported that the most popular video platforms among teens in the U.S. were Netflix and YouTube, and the pandemic has done little to shift that. Cable TV viewership continued to decline throughout 2020, while Hulu rose in popularity during this time. Meanwhile, despite a slight drop in viewership Netflix and YouTube retained their positions as the top two video services after the onset of the pandemic. YouTube and Instagram were also named the most popular social media channels among teens and young adults, as of the third quarter of 2020. Due to their booming popularity, it is no wonder that advertisers have been increasingly targeting these networks, with social media add spend having been on the rise each year since 2017. The biggest growth surge has come from mobile advertising, while spend on desktop advertising has remained nearly the same. Texting and phone calls most preferred during lockdownAs most of the world entered lockdown during the peak of the Coronavirus pandemic in April 2020, teens in the U.S. were asked which technologies they had used to virtually connect with friends and family during this time. 'Texting' was the most preferred method, named by over ** percent followed by phone calls. Meanwhile, video chat and social media came in third.

  2. U.S. parent concern over screen time by child during COVID-19 pandemic 2020

    • statista.com
    Updated Jul 7, 2022
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    Statista (2022). U.S. parent concern over screen time by child during COVID-19 pandemic 2020 [Dataset]. https://www.statista.com/statistics/1164983/concern-parents-child-us-device-usage-time-coronavirus/
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    Dataset updated
    Jul 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 13, 2020 - Aug 15, 2020
    Area covered
    United States
    Description

    An August 2020 survey revealed that 23 percent of parents in the United States were very concerned about the amount of time their child(ren) spent on digital devices during the COVID-19 outbreak. Additionally, 33 percent of U.S. parents were somewhat concerned about the amount of screen time their children had.

  3. U.S. parents on their child's screen time since the COVID-19 pandemic 2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). U.S. parents on their child's screen time since the COVID-19 pandemic 2020 [Dataset]. https://www.statista.com/statistics/1189217/us-parents-screen-time-children-coronavirus/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2020
    Area covered
    United States
    Description

    During an August 2020 survey, ** percent of responding parents from the United States reported to having lowered their standards for what they deem as appropriate screen time for their children due to the coronavirus pandemic. Additionally, ** percent of U.S. parents wished they had better ways to monitor their children's screen time.

  4. Hours of screen time allowed for children in the U.S. 2022

    • statista.com
    Updated Jun 24, 2025
    + more versions
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    Statista (2025). Hours of screen time allowed for children in the U.S. 2022 [Dataset]. https://www.statista.com/statistics/1341244/hours-screen-time-allowed-us-children/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 15, 2022 - Sep 23, 2022
    Area covered
    United States
    Description

    According to a survey of parents in the United States conducted in September 2022, besides time granted for homework and educational purposes, ** percent of respondents reported allowing their children to use digital devices between *** or *** hours per day. In comparison, ** percent of respondents reporting to allow their children between ***** and **** hours of screen time per day, while ***** percent of respondents reported allowing their children over *** hours of daily screen time.

  5. d

    The Effect of Screentime on the Mental Health of Children

    • search.dataone.org
    Updated Nov 8, 2023
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    Wong, Natalie (2023). The Effect of Screentime on the Mental Health of Children [Dataset]. http://doi.org/10.7910/DVN/1WWCA5
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Wong, Natalie
    Description

    Introduction: Screentime is ubiquitous with children and parents concerned and anxious about its effect on the well-being of their children. This project uses the 2020 data from the National Survey of Children’s Health (NSCH) to determine if there is a correlation between the amount of weekday screentime in children ages 17 and younger and reported instances of mental health treatment and mental health treatment needed. Objectives: The primary objective of this project is to determine if there is a correlation between screentime and the mental health of children, ages 17 and younger. Methods: This project utilizes 2020 data from the NSCH, specifically the survey information collected about children ages 17 and younger on screentime, mental health professional treatment, and age of the child. Screentime refers to weekday time spent in front of a TV, computer, cellphone, or other electronic device watching programs, playing games, accessing the internet or using social media. After analyzing the three aforementioned variables, the percentage of mental health treatment occurrences by age group per screen time category indicates whether there is a correlation between children’s screentime and their mental health. Results: Preschool-aged (0-5 years old) children who spent 2 hours per weekday in front of a screen had the highest occurrence of mental health treatment, doubling the other categories of screentime. In school-aged (6-13 years old) children, there is a rise in mental health treatment needed as screentime increases. In adolescent (14-17 years old) children, there is a significant increase in the occurrence of mental health treatment as screentime increases, where 60% of adolescents who require mental health treatment spent four or more hours in front of a screen. Conclusions: There is a correlation between increased screentime and the occurrence of mental health treatment in children, particularly with the Adolescent (14-17 years old) age group.

  6. Canada: parents rules for screen time 2020-2023

    • statista.com
    Updated Nov 13, 2023
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    Statista (2023). Canada: parents rules for screen time 2020-2023 [Dataset]. https://www.statista.com/statistics/1422240/screen-time-rules-by-parents-in-canada/
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    Dataset updated
    Nov 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In 2023, almost half of the surveyed parents in Canada reported enforcing weekday limits for their children's screen time, while 32 scheduled screen time limits for their kids. Additionally, 19 percent of parents said they collect their children's devices for the same purpose.

  7. d

    Autism Spectrum Disorder and screen time during lockdown

    • search.dataone.org
    • datadryad.org
    Updated Apr 30, 2025
    + more versions
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    Maria Grazia Mada Logrieco (2025). Autism Spectrum Disorder and screen time during lockdown [Dataset]. http://doi.org/10.5061/dryad.r2280gbdd
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    Dataset updated
    Apr 30, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Maria Grazia Mada Logrieco
    Time period covered
    Jan 1, 2021
    Description

    Abstract: this dataset contain data from a research conducted during the Italian lockdown due to COVID-19 (March-May 2020). Lockdown due to Covid-19 pandemic brought deep changes to the daily lives of children with Autism Spectrum Disorder (ASD), greatly increasing their amount of time spent at home. Parents of children with ASD filled an online survey. A cohort of 243 parents of children with ASD (2-15 years old) completed an original online survey regarding the child’s screen time and the modification of the ASD symptomatology during lockdown to investigate the relationship between them. This data investigated the relation between ASD symptoms modification during lockdown and the amount of time spent with the screen by the children.

    Methods: The data were analyzed with Pycharm (Python language). Descriptive and Spearman correlation statistics were computed on the original survey data. The variables expressed on a Likert scale were transformed into dichotomous variable in order to d...

  8. Boys and girls watching more than two hours screen time New Zealand...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Boys and girls watching more than two hours screen time New Zealand 2019-2020 by age [Dataset]. https://www.statista.com/statistics/763566/new-zealand-boys-and-girls-watching-more-than-two-hours-of-television-by-age/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2019 - Mar 2020
    Area covered
    New Zealand
    Description

    According to a survey 2020, around **** percent of boys aged between 10 and 14 years watched more than *** hours of screen time per day, and **** percent of girls in the same age group did the same. Among the respondents aged between **** and nine years, around ** percent of boys and around **** percent of girls watched more than *** hours screen time per day.

  9. f

    Data Sheet 1_Physical activity and screen time behavior, and non-alcoholic...

    • frontiersin.figshare.com
    pdf
    Updated May 2, 2025
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    Yazareni José Mercadante Urquía; Haysla Xavier Martins; Taísa Sabrina Silva Pereira; Letícia Batista de Azevedo; Luís Carlos Lopes Júnior; Maria Del Carmen Bisi Molina (2025). Data Sheet 1_Physical activity and screen time behavior, and non-alcoholic beverage consumption during the COVID-19 pandemic in the longitudinal study of adult health (ELSA-Brasil).pdf [Dataset]. http://doi.org/10.3389/fnut.2025.1503010.s001
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    pdfAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset provided by
    Frontiers
    Authors
    Yazareni José Mercadante Urquía; Haysla Xavier Martins; Taísa Sabrina Silva Pereira; Letícia Batista de Azevedo; Luís Carlos Lopes Júnior; Maria Del Carmen Bisi Molina
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe COVID-19 pandemic affected various dietary and lifestyle behaviors. Understanding the relationship between physical activity, screen time, and beverage consumption is critical to identify at-risk populations, particularly individuals with chronic non-communicable diseases (NCDs), for targeted intervention strategies.ObjectiveThis study aimed to evaluate the relationship between physical activity, screen time behavior patterns, and non-alcoholic beverage consumption among participants in ELSA-Brasil during the COVID supplementary study.MethodsThe study was conducted in five of the six ELSA-Brasil research centers, from July 2020 to March 2021. Sociodemographic variables, physical activity, screen time, non-alcoholic beverage consumption, and lifestyle factors were analyzed using bivariate analyses and binary logistic regression models.ResultsThe total sample consisted of 4,442 participants with a mean age of 62.0 ± 8.6 years. Significant gender differences were found in sociodemographic and lifestyle variables, influencing beverage consumption patterns. Participants with excessive screen time and physical inactivity were more likely to consume sugar-sweetened beverages. Specifically, men exhibited a significant association with an odds ratio of 2.44 (95%CI: 1.54–3.84), while women had an odds ratio of 1.72 (95% CI: 1.02–2.91). Men with appropriate screen time but physically inactive behavior had nearly double the likelihood of consuming sugar-sweetened artificial beverages. Additionally, men with excessive screen time and physical inactivity had higher consumption of industrialized juices (OR: 1.93; 95% CI: 1.22–3.06), while women were more likely to consume soft drinks (OR: 2.28; 95%CI 1.10–4.72).ConclusionThese findings underscore the importance of addressing both screen time and physical activity in public health initiatives, through gender-specific approaches that account for socioeconomic disparities when prioritizing interventions.

  10. f

    Data_Sheet_1_Association of Sleep Duration and Screen Time With Anxiety of...

    • frontiersin.figshare.com
    docx
    Updated May 30, 2023
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    Yuan Zhang; Yuge Zhang; Renli Deng; Min Chen; Rong Cao; Shijiu Chen; Kuntao Chen; Zhiheng Jin; Xue Bai; Jingyan Tian; Baofeng Zhou; Kunming Tian (2023). Data_Sheet_1_Association of Sleep Duration and Screen Time With Anxiety of Pregnant Women During the COVID-19 Pandemic.docx [Dataset]. http://doi.org/10.3389/fpsyg.2021.646368.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Yuan Zhang; Yuge Zhang; Renli Deng; Min Chen; Rong Cao; Shijiu Chen; Kuntao Chen; Zhiheng Jin; Xue Bai; Jingyan Tian; Baofeng Zhou; Kunming Tian
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The COVID-19 pandemic has dramatically changed the patterns of lifestyle and posed psychological stress on pregnant women. However, the association of sleep duration and screen time with anxiety among pregnant women under the backdrop of the COVID-19 pandemic scenario has been poorly addressed. We conducted one large-scale, multicenter cross-sectional study which recruited 1794 pregnant women across middle and west China. Self-reported demographic characteristics, lifestyle, and mental health status were collected from 6th February to 8th May 2020. We investigated the association of sleep duration and screen time with the risk of anxiety by multivariable logistic regression analysis and linear regression analysis after adjusting potential confounders. The dose-response relationship of sleep duration and screen time with anxiety was visualized using a cubic spline plot. Our data revealed that almost 35% of pregnant women suffered from anxiety during the COVID-19 pandemic. Sleep duration was dose-dependently associated with a lower risk of anxiety among pregnant women (OR = 0.41, 95% CI: 0.27–0.63), while screen time exhibited a conversed effect (OR = 2.01, 95% CI:1.00–4.39). Notably, sleep duration (≥8 h/day) synergistically combined with screen time (3–7 h/day) to diminish the risk of anxiety (OR = 0.70, 95% CI: 0.50–0.99). Taken together, sleep duration and screen time were independently and jointly associated with anxiety (P < 0.05). Therefore, promoting a more active lifestyle and maintaining higher sleep quality could improve the mental health of pregnant women, especially under public health emergency.

  11. j

    Data from: International iPreschooler Surveillance Study Among Asians and...

    • jyx.jyu.fi
    Updated Jun 10, 2022
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    Hanna-Mari Vehmas; Michael Chia; John Komar; Tay Lee Yong; Terence Chua; Elina Hasanen; Arja Sääkslahti; Henriikka Koivukoski (2022). International iPreschooler Surveillance Study Among Asians and otheRs (IISSAAR) Finland Syntyjäänkö diginatiivi? - Digilaitteiden käytön ja liikkumisen yhteydet päiväkoti-ikäisillä lapsilla [Dataset]. http://doi.org/10.17011/jyx/dataset/81629
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    Dataset updated
    Jun 10, 2022
    Authors
    Hanna-Mari Vehmas; Michael Chia; John Komar; Tay Lee Yong; Terence Chua; Elina Hasanen; Arja Sääkslahti; Henriikka Koivukoski
    License

    https://rightsstatements.org/page/InC/1.0/https://rightsstatements.org/page/InC/1.0/

    Area covered
    Finland
    Description

    Tämä aineisto on Suomen osa kansainvälisestä International iPreschooler Surveillance Study Among Asians and otheRs (IISSAAR) -tutkimushankkeen aineistosta. Kyselyaineisto on kerätty 2-6-vuotiaiden lasten huoltajilta, ja se kattaa muuttujat lasten ja heidän huoltajiensa digitaalisen median käytöstä, lasten ei-digitaalisista ajanvietteistä sekä lasten ja heidän huoltajiensa taustatiedoista. Poikkileikkausaineisto on kerätty 56 kunnassa vuosina 2019, 2020 ja 2021 (n = 13 104). Lapset ja nuoret käyttävät paljon digitaalista mediaa. Tietoa päiväkoti-ikäisten lasten digitaalisen median käytön laajuudesta ei ole. Tutkimuksen tarkoituksena on tarkastella päiväkoti-ikäisten lasten digitaalisen median käyttöä ja sen yhteyttä digitaaliseen ja ei-digitaaliseen käyttäytymiseen, fyysiseen leikkiin sekä uneen päiväkotiajan ulkopuolella arkisin ja viikonloppuisin eri puolilla Suomea, osana kansainvälistä tutkimusta. Löydöksiä peilataan Maailman terveysjärjestö WHO:n 24 tunnin suosituksiin, jotka koskevat päiväkoti-ikäisten lasten fyysistä aktiivisuutta, paikallaanoloa (mukaan lukien digimedian käyttö) ja unta. Tuloksia verrataan Suomen ja Aasian maiden sisällä ja välillä. Aineisto voi toimia pohjana päiväkoti-ikäisten ruutumedian käyttöä, liikuntaa ja unta koskevien suositusten kehittämiseen sekä alaan liittyvään lisätutkimukseen.

  12. f

    Data Sheet 2_Changes in health behaviour of medical students during and...

    • frontiersin.figshare.com
    pdf
    Updated Mar 24, 2025
    + more versions
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    Lukas Liebig; Willy Gräfe; Hendrik Berth; Béla Birkás; Nora Faubl; Erika Zelko; Erika Balogh; Henna Riemenschneider (2025). Data Sheet 2_Changes in health behaviour of medical students during and after the COVID-19 pandemic—focus on physical activity, screen time, sleep duration, unhealthy foods, alcohol, and tobacco.pdf [Dataset]. http://doi.org/10.3389/fpubh.2025.1545295.s002
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    pdfAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Frontiers
    Authors
    Lukas Liebig; Willy Gräfe; Hendrik Berth; Béla Birkás; Nora Faubl; Erika Zelko; Erika Balogh; Henna Riemenschneider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionThe COVID-19 pandemic and the preventive measures led to a change in the health behaviour among the population. Medical students were particularly affected by this. Previous studies primarily focused on few health behaviours, were mostly conducted in 2020–2021, and did not assess the persistence of these behaviours post-pandemic.MethodsA combined cross-sectional and longitudinal approach were applied to examine changes in physical activity, screen time, sleep duration and consumption of unhealthy foods, alcohol and of tobacco. Data from Medical Students at the Technical University of Dresden were collected online as part of the multicenter study “Medical Student Health Survey” in 2020 and 2022. Descriptive and inferential statistical methods were applied.ResultsMedical students (N = 575) reported reduced physical activity and increased screen time due to the COVID-19 pandemic, citing lockdown and changed habits as main reasons. Longitudinal analysis of medical students (N = 66) between 2020 and 2022 revealed increased physical activity (p = 0.018) and decreased unhealthy food consumption (p = 0.009) after the end of the pandemic. Screen time, sleep duration and consumption of alcohol and of tobacco products remained unchanged. Changes in health behaviours were not intercorrelated.DiscussionThe COVID-19 pandemic led to change in health behaviour of medical students. However, intra-pandemic changes differing from pre-post pandemic changes and interindividual variations in health behaviour change were found. The rise in physical activity, the decreased consumption of unhealthy foods, and the low tobacco use reflect a health-aware cohort. The findings should inform the development of future preventive measures and further research is needed to understand the sustainability and broader impact of these health behaviour changes.

  13. Daily time spent online in Italy 2020, by device and age group

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Daily time spent online in Italy 2020, by device and age group [Dataset]. https://www.statista.com/statistics/791434/daily-time-spent-online-by-age-group-in-italy/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2020
    Area covered
    Italy
    Description

    This statistic describes the average time spent online by individuals in Italy as of April 2020, by different age group and by device. According to data, the peak was recorded by individuals aged between 18 and 24 years browsing online with a their smartphones. Their time spent online amounted to over **** hours a day.

  14. f

    Data Sheet 1_Changes in health behaviour of medical students during and...

    • frontiersin.figshare.com
    pdf
    Updated Mar 24, 2025
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    Lukas Liebig; Willy Gräfe; Hendrik Berth; Béla Birkás; Nora Faubl; Erika Zelko; Erika Balogh; Henna Riemenschneider (2025). Data Sheet 1_Changes in health behaviour of medical students during and after the COVID-19 pandemic—focus on physical activity, screen time, sleep duration, unhealthy foods, alcohol, and tobacco.pdf [Dataset]. http://doi.org/10.3389/fpubh.2025.1545295.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Frontiers
    Authors
    Lukas Liebig; Willy Gräfe; Hendrik Berth; Béla Birkás; Nora Faubl; Erika Zelko; Erika Balogh; Henna Riemenschneider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionThe COVID-19 pandemic and the preventive measures led to a change in the health behaviour among the population. Medical students were particularly affected by this. Previous studies primarily focused on few health behaviours, were mostly conducted in 2020–2021, and did not assess the persistence of these behaviours post-pandemic.MethodsA combined cross-sectional and longitudinal approach were applied to examine changes in physical activity, screen time, sleep duration and consumption of unhealthy foods, alcohol and of tobacco. Data from Medical Students at the Technical University of Dresden were collected online as part of the multicenter study “Medical Student Health Survey” in 2020 and 2022. Descriptive and inferential statistical methods were applied.ResultsMedical students (N = 575) reported reduced physical activity and increased screen time due to the COVID-19 pandemic, citing lockdown and changed habits as main reasons. Longitudinal analysis of medical students (N = 66) between 2020 and 2022 revealed increased physical activity (p = 0.018) and decreased unhealthy food consumption (p = 0.009) after the end of the pandemic. Screen time, sleep duration and consumption of alcohol and of tobacco products remained unchanged. Changes in health behaviours were not intercorrelated.DiscussionThe COVID-19 pandemic led to change in health behaviour of medical students. However, intra-pandemic changes differing from pre-post pandemic changes and interindividual variations in health behaviour change were found. The rise in physical activity, the decreased consumption of unhealthy foods, and the low tobacco use reflect a health-aware cohort. The findings should inform the development of future preventive measures and further research is needed to understand the sustainability and broader impact of these health behaviour changes.

  15. Average time spent per day using smartphones in China 2011-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Average time spent per day using smartphones in China 2011-2023 [Dataset]. https://www.statista.com/statistics/467518/china-average-daily-time-spent-using-smartphones/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2020, the adult smartphone users in China spent an average of about two hours and ** minutes per day on their smartphones. Compared to the previous year, daily usage time increased by over ** percent. According to the forecast, smartphone users were projected to extend their screen time to almost four hours a day by 2023.

  16. Daily entertainment screen time among children in the U.S. in 2021, by...

    • statista.com
    Updated Jan 10, 2024
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    A. Guttmann (2024). Daily entertainment screen time among children in the U.S. in 2021, by activity [Dataset]. https://www.statista.com/topics/9840/children-and-technology/
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    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    A. Guttmann
    Description

    Children aged 8 to 12 years spent an average of two hours and 40 minutes watching TV or videos daily in the United States in 2021. However, they spent an average of nine minutes reading books or articles online.

  17. UK children daily time on selected social media apps 2024

    • statista.com
    • tokrwards.com
    Updated Jun 24, 2025
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    Statista (2025). UK children daily time on selected social media apps 2024 [Dataset]. https://www.statista.com/statistics/1124962/time-spent-by-children-on-social-media-uk/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United Kingdom
    Description

    In 2024, children in the United Kingdom spent an average of *** minutes per day on TikTok. This was followed by Instagram, as children in the UK reported using the app for an average of ** minutes daily. Children in the UK aged between four and 18 years also used Facebook for ** minutes a day on average in the measured period. Mobile ownership and usage among UK children In 2021, around ** percent of kids aged between eight and 11 years in the UK owned a smartphone, while children aged between five and seven having access to their own device were approximately ** percent. Mobile phones were also the second most popular devices used to access the web by children aged between eight and 11 years, as tablet computers were still the most popular option for users aged between three and 11 years. Children were not immune to the popularity acquired by short video format content in 2020 and 2021, spending an average of ** minutes per day engaging with TikTok, as well as over ** minutes on the YouTube app in 2021. Children data protection In 2021, ** percent of U.S. parents and ** percent of UK parents reported being slightly concerned with their children’s device usage habits. While the share of parents reporting to be very or extremely concerned was considerably smaller, children are considered among the most vulnerable digital audiences and need additional attention when it comes to data and privacy protection. According to a study conducted during the first quarter of 2022, ** percent of children’s apps hosted in the Google Play Store and ** percent of apps hosted in the Apple App Store transmitted users’ locations to advertisers. Additionally, ** percent of kids’ apps were found to collect persistent identifiers, such as users’ IP addresses, which could potentially lead to Children’s Online Privacy Protection Act (COPPA) violations in the United States. In the United Kingdom, companies have to take into account several obligations when considering online environments for children, including an age-appropriate design and avoiding sharing children’s data.

  18. Average daily time spent on social media worldwide 2012-2025

    • statista.com
    • thefarmdosupply.com
    • +1more
    Updated Jun 19, 2025
    + more versions
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    Statista (2025). Average daily time spent on social media worldwide 2012-2025 [Dataset]. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    How much time do people spend on social media? As of 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

  19. Daily hours spent on mobile Singapore 2020-2023

    • statista.com
    • tokrwards.com
    Updated Aug 6, 2025
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    Statista (2025). Daily hours spent on mobile Singapore 2020-2023 [Dataset]. https://www.statista.com/statistics/1345898/singapore-daily-time-spent-mobile-usage/
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    Dataset updated
    Aug 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Singapore
    Description

    In 2023, Android users in Singapore spent an average of **** hours per day using their mobile devices. This represents an increase from the **** hours that users in the country spent on their devices in 2020.

  20. Share of time spent watching TV and digital video in the U.S. 2020-2026

    • statista.com
    • thefarmdosupply.com
    • +1more
    Updated Jun 23, 2025
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    Statista (2025). Share of time spent watching TV and digital video in the U.S. 2020-2026 [Dataset]. https://www.statista.com/statistics/186833/average-television-use-per-person-in-the-us-since-2002/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Estimates suggest that in 2026 U.S. adults will spend around ** percent of their time watching traditional TV each day. This figure has generally fallen in recent years and the downward trend is forecast to continue in the years to come. Screen time Although average daily time spent watching TV appears to be decreasing, this does not necessarily mean that people are spending less time in front of screens; this drop is likely due to an increasing amount of time spent with phones, tablets, and laptops. With on-demand streaming services such as Netflix gaining massive popularity, people can watch a huge range of programming whilst on the go, meaning that screen time is no longer limited to time spent at home in front of the TV. Young people around the world have been especially quick to adopt smartphone-based video streaming habits meaning that television screen time will likely fall even further in the future. Television in the U.S. As mentioned above, the way people are consuming their video entertainment content is rapidly changing in the United States. By 2028, estimates suggest that only **** million U.S. households will pay for traditional TV services, down from over ** million as of 2019. In order to compete for people’s business, cable and satellite providers must find a way to adapt in a way the meets the needs of today’s increasingly mobile consumers. Some are launching their own streaming services in a bid to tackle cord-cutting, most notably Comcast.

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Statista (2025). U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic 2020 [Dataset]. https://www.statista.com/statistics/1189204/us-teens-children-screen-time-daily-coronavirus-before-during/
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U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic 2020

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jun 2020
Area covered
United States
Description

As of June 2020, ** percent of parents to U.S. teens aged 14 to 17 years stated that their kids were spending more than four hours per day on electronic devices since the start of the COVID-19 pandemic. Only ** percent of responding parents stated that their teens had used electronic devices daily for more than four hours before the COVID-19 pandemic. Overall, the pandemic triggered a rise in the use of electronic devices among American children under 13 and teenagers with screentime now double that of what it used to be across all age groups. YouTube, Netflix and Instagram dominateIn an ongoing survey between 2015 and 2020 it was reported that the most popular video platforms among teens in the U.S. were Netflix and YouTube, and the pandemic has done little to shift that. Cable TV viewership continued to decline throughout 2020, while Hulu rose in popularity during this time. Meanwhile, despite a slight drop in viewership Netflix and YouTube retained their positions as the top two video services after the onset of the pandemic. YouTube and Instagram were also named the most popular social media channels among teens and young adults, as of the third quarter of 2020. Due to their booming popularity, it is no wonder that advertisers have been increasingly targeting these networks, with social media add spend having been on the rise each year since 2017. The biggest growth surge has come from mobile advertising, while spend on desktop advertising has remained nearly the same. Texting and phone calls most preferred during lockdownAs most of the world entered lockdown during the peak of the Coronavirus pandemic in April 2020, teens in the U.S. were asked which technologies they had used to virtually connect with friends and family during this time. 'Texting' was the most preferred method, named by over ** percent followed by phone calls. Meanwhile, video chat and social media came in third.

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