Matches in SemOpenAlex for { <https://semopenalex.org/work/W2980973917> ?p ?o ?g. }
- W2980973917 endingPage "723" @default.
- W2980973917 startingPage "714" @default.
- W2980973917 abstract "Nearly all children and teens in Hong Kong own a smartphone. There is currently no validated instrument that measures whether they use their phone too much. This study tested the psychometric properties of a translated Chinese version of the Smartphone Addiction Scale-Short Version (SAS-SV) and examined the demographic correlates of smartphone addiction among Hong Kong children and adolescents. A total of 1,901 primary school children and secondary school pupils were recruited from 15 Hong Kong schools. Furthermore, 1,797 primary caregivers were asked to complete a self-administered questionnaire on their socioeconomic status and educational attainment. The study used exploratory factor analysis (EFA) to identify the factor structure of SAS-SV for half the participants (n = 951), while confirmatory factor analysis (CFA) was used to assess the goodness-of-fit of EFA models for the remaining half (n = 951). Spearman correlations were used to assess the convergent validity of the SAS-SV, taking account of time spent by subjects on phones per day, the Smart Device Addiction Screening Tool (SDAST), the Pittsburgh Sleep Quality Index (PSQI), the Multidimensional Scale of Perceived Social Support (MSPSS), and the Center for Epidemiological Studies Depression Scale for Children (CES-DC). EFA generated a three-factor model (with factors labeled dependency, the incidence of a problem, and time spent). CFA confirmed this model yielded an acceptable goodness-of-fit (Comparative Fit Index = 0.96, Tucker Lewis Index = 0.95, and root-mean-square error of approximation = 0.06). SAS-SV was positively correlated with SDAST (ρ = 0.59), PSQI (ρ = 0.29), and CES-D (ρ = 0.35), and negatively correlated with MSPSS (ρ = -0.10). A linear regression model showed that female adolescents, those with highly educated caregivers and those who spent more time using smartphones on their holidays, had on average higher SAS-SV scores, meaning they showed greater vulnerability to becoming addicted. The study found that SAS-SV is a valid scale for estimating excessive smartphone use among Hong Kong children and adolescents." @default.
- W2980973917 created "2019-10-25" @default.
- W2980973917 creator A5001438772 @default.
- W2980973917 creator A5009415356 @default.
- W2980973917 creator A5010137046 @default.
- W2980973917 creator A5010962993 @default.
- W2980973917 creator A5058211821 @default.
- W2980973917 creator A5062902235 @default.
- W2980973917 creator A5081820696 @default.
- W2980973917 date "2019-11-01" @default.
- W2980973917 modified "2023-10-01" @default.
- W2980973917 title "Psychometric Properties and Demographic Correlates of the Smartphone Addiction Scale-Short Version Among Chinese Children and Adolescents in Hong Kong" @default.
- W2980973917 cites W1562859198 @default.
- W2980973917 cites W1776190173 @default.
- W2980973917 cites W178691628 @default.
- W2980973917 cites W1849635709 @default.
- W2980973917 cites W1875997827 @default.
- W2980973917 cites W1963738667 @default.
- W2980973917 cites W1973418951 @default.
- W2980973917 cites W1982119734 @default.
- W2980973917 cites W1983337067 @default.
- W2980973917 cites W1986968118 @default.
- W2980973917 cites W1988710891 @default.
- W2980973917 cites W1993865342 @default.
- W2980973917 cites W1994045792 @default.
- W2980973917 cites W2002909050 @default.
- W2980973917 cites W2009176789 @default.
- W2980973917 cites W2018692355 @default.
- W2980973917 cites W2030182499 @default.
- W2980973917 cites W2030863659 @default.
- W2980973917 cites W2033565964 @default.
- W2980973917 cites W2054703759 @default.
- W2980973917 cites W2055097229 @default.
- W2980973917 cites W2066770916 @default.
- W2980973917 cites W2071611852 @default.
- W2980973917 cites W2072772428 @default.
- W2980973917 cites W2076415515 @default.
- W2980973917 cites W2079028386 @default.
- W2980973917 cites W2082743407 @default.
- W2980973917 cites W2083467301 @default.
- W2980973917 cites W2084863892 @default.
- W2980973917 cites W2091129621 @default.
- W2980973917 cites W2094751698 @default.
- W2980973917 cites W2104674208 @default.
- W2980973917 cites W2105182593 @default.
- W2980973917 cites W2109349396 @default.
- W2980973917 cites W2117971251 @default.
- W2980973917 cites W2124553691 @default.
- W2980973917 cites W2151419893 @default.
- W2980973917 cites W2151487996 @default.
- W2980973917 cites W2155003464 @default.
- W2980973917 cites W2157575844 @default.
- W2980973917 cites W2161551938 @default.
- W2980973917 cites W2216374586 @default.
- W2980973917 cites W2220769307 @default.
- W2980973917 cites W2264575704 @default.
- W2980973917 cites W2282174559 @default.
- W2980973917 cites W2300204381 @default.
- W2980973917 cites W2300303035 @default.
- W2980973917 cites W2419237131 @default.
- W2980973917 cites W2509221251 @default.
- W2980973917 cites W2528952731 @default.
- W2980973917 cites W2528968013 @default.
- W2980973917 cites W2580785492 @default.
- W2980973917 cites W2598072766 @default.
- W2980973917 cites W2604011765 @default.
- W2980973917 cites W2606307053 @default.
- W2980973917 cites W2727282307 @default.
- W2980973917 cites W2767769516 @default.
- W2980973917 cites W2782155642 @default.
- W2980973917 cites W2790178362 @default.
- W2980973917 cites W2888508399 @default.
- W2980973917 cites W2897389292 @default.
- W2980973917 cites W2911494032 @default.
- W2980973917 cites W2950127061 @default.
- W2980973917 cites W2953705824 @default.
- W2980973917 cites W2960237153 @default.
- W2980973917 cites W2964839549 @default.
- W2980973917 doi "https://doi.org/10.1089/cyber.2019.0325" @default.
- W2980973917 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31621411" @default.
- W2980973917 hasPublicationYear "2019" @default.
- W2980973917 type Work @default.
- W2980973917 sameAs 2980973917 @default.
- W2980973917 citedByCount "22" @default.
- W2980973917 countsByYear W29809739172020 @default.
- W2980973917 countsByYear W29809739172021 @default.
- W2980973917 countsByYear W29809739172022 @default.
- W2980973917 countsByYear W29809739172023 @default.
- W2980973917 crossrefType "journal-article" @default.
- W2980973917 hasAuthorship W2980973917A5001438772 @default.
- W2980973917 hasAuthorship W2980973917A5009415356 @default.
- W2980973917 hasAuthorship W2980973917A5010137046 @default.
- W2980973917 hasAuthorship W2980973917A5010962993 @default.
- W2980973917 hasAuthorship W2980973917A5058211821 @default.
- W2980973917 hasAuthorship W2980973917A5062902235 @default.
- W2980973917 hasAuthorship W2980973917A5081820696 @default.
- W2980973917 hasConcept C105795698 @default.
- W2980973917 hasConcept C118552586 @default.