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Article: Self-reported screen time on social networking sites associated with problematic smartphone use in Chinese adults: a population-based study
Title | Self-reported screen time on social networking sites associated with problematic smartphone use in Chinese adults: a population-based study |
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Authors | |
Keywords | addictive symptoms problematic smartphone use screen time screen-based activities social networking sites |
Issue Date | 2021 |
Publisher | Frontiers Research Foundation. The Journal's web site is located at https://www.frontiersin.org/journals/psychiatry |
Citation | Frontiers in Psychiatry, 2021, v. 11, article no. 614061 How to Cite? |
Abstract | Background: Problematic smartphone use (PSU) has been associated with screen time in general, but little is known about the effect of different screen-based activities. We examined the associations of self-reported time spent on overall and specific screen-based activities with PSU and its addictive symptoms in Hong Kong Chinese adults. Methods: We analyzed data from 562 smartphone owners (56.5% female; 82.1% aged 25-64 years) in a population-based telephone survey in 2017. PSU was measured using Smartphone Addiction Scale-Short Version (range 10-60) which includes symptoms of daily-life disturbance, withdrawal, cyberspace-oriented relationship, overuse, and tolerance. Screen time was self-reported as average hours per day spent on the internet, online book/newspaper/magazine, online video, and social networking sites (SNS). Multivariable linear regression analyzed the associations of self-reported screen time with PSU severity and symptoms. Interaction effects of sex, age group, educational attainment, and monthly household income were examined. Results: Self-reported time spent on overall screen-based activities was associated with PSU severity (β = 1.35, 95% CI 0.15, 2.55) and withdrawal and overuse symptoms, after adjusting for sociodemographic and health-related variables. Independent association was observed for self-reported SNS time with PSU severity (β = 1.42, 95% CI 0.35, 2.49) and symptoms of withdrawal and cyberspace-oriented relationship, after mutually adjusting for time on other activities. The strongest association between self-reported SNS time and PSU severity was observed in younger than older adults (β = 4.36, 95% CI 2.58, 6.13; P for interaction = 0.004). Conclusions: The independent association of self-reported SNS time with PSU and core addictive symptoms highlighted the addiction potential of SNS use, particularly in younger users. |
Persistent Identifier | http://hdl.handle.net/10722/294588 |
ISSN | 2023 Impact Factor: 3.2 2023 SCImago Journal Rankings: 1.155 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Guo, N | - |
dc.contributor.author | Luk, TT | - |
dc.contributor.author | Wang, MP | - |
dc.contributor.author | Ho, SY | - |
dc.contributor.author | Fong, DYT | - |
dc.contributor.author | Wan, A | - |
dc.contributor.author | Chan, SSC | - |
dc.contributor.author | Lam, TH | - |
dc.date.accessioned | 2020-12-08T07:39:05Z | - |
dc.date.available | 2020-12-08T07:39:05Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Frontiers in Psychiatry, 2021, v. 11, article no. 614061 | - |
dc.identifier.issn | 1664-0640 | - |
dc.identifier.uri | http://hdl.handle.net/10722/294588 | - |
dc.description.abstract | Background: Problematic smartphone use (PSU) has been associated with screen time in general, but little is known about the effect of different screen-based activities. We examined the associations of self-reported time spent on overall and specific screen-based activities with PSU and its addictive symptoms in Hong Kong Chinese adults. Methods: We analyzed data from 562 smartphone owners (56.5% female; 82.1% aged 25-64 years) in a population-based telephone survey in 2017. PSU was measured using Smartphone Addiction Scale-Short Version (range 10-60) which includes symptoms of daily-life disturbance, withdrawal, cyberspace-oriented relationship, overuse, and tolerance. Screen time was self-reported as average hours per day spent on the internet, online book/newspaper/magazine, online video, and social networking sites (SNS). Multivariable linear regression analyzed the associations of self-reported screen time with PSU severity and symptoms. Interaction effects of sex, age group, educational attainment, and monthly household income were examined. Results: Self-reported time spent on overall screen-based activities was associated with PSU severity (β = 1.35, 95% CI 0.15, 2.55) and withdrawal and overuse symptoms, after adjusting for sociodemographic and health-related variables. Independent association was observed for self-reported SNS time with PSU severity (β = 1.42, 95% CI 0.35, 2.49) and symptoms of withdrawal and cyberspace-oriented relationship, after mutually adjusting for time on other activities. The strongest association between self-reported SNS time and PSU severity was observed in younger than older adults (β = 4.36, 95% CI 2.58, 6.13; P for interaction = 0.004). Conclusions: The independent association of self-reported SNS time with PSU and core addictive symptoms highlighted the addiction potential of SNS use, particularly in younger users. | - |
dc.language | eng | - |
dc.publisher | Frontiers Research Foundation. The Journal's web site is located at https://www.frontiersin.org/journals/psychiatry | - |
dc.relation.ispartof | Frontiers in Psychiatry | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | addictive symptoms | - |
dc.subject | problematic smartphone use | - |
dc.subject | screen time | - |
dc.subject | screen-based activities | - |
dc.subject | social networking sites | - |
dc.title | Self-reported screen time on social networking sites associated with problematic smartphone use in Chinese adults: a population-based study | - |
dc.type | Article | - |
dc.identifier.email | Luk, TT: lukkevin@hku.hk | - |
dc.identifier.email | Wang, MP: mpwang@hku.hk | - |
dc.identifier.email | Ho, SY: syho@hku.hk | - |
dc.identifier.email | Fong, DYT: dytfong@hku.hk | - |
dc.identifier.email | Lam, TH: hrmrlth@hkucc.hku.hk | - |
dc.identifier.authority | Wang, MP=rp01863 | - |
dc.identifier.authority | Ho, SY=rp00427 | - |
dc.identifier.authority | Fong, DYT=rp00253 | - |
dc.identifier.authority | Lam, TH=rp00326 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3389/fpsyt.2020.614061 | - |
dc.identifier.pmid | 33519554 | - |
dc.identifier.pmcid | PMC7840886 | - |
dc.identifier.scopus | eid_2-s2.0-85100036974 | - |
dc.identifier.hkuros | 320589 | - |
dc.identifier.volume | 11 | - |
dc.identifier.spage | article no. 614061 | - |
dc.identifier.epage | article no. 614061 | - |
dc.identifier.isi | WOS:000612314800001 | - |
dc.publisher.place | Switzerland | - |
dc.identifier.issnl | 1664-0640 | - |