https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11626 Wed 11 Apr 2018 17:14:40 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29915 Wed 11 Apr 2018 16:21:49 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:7946 Wed 11 Apr 2018 10:00:06 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29606 n = 289/827) and 428 free-text comments were collected. The first motivational phase of the intervention was appreciated by 55% (158/289) of the participants. Most participants wanted to quit smoking immediately and only 124/289 (43%) agreed to have to decide a quit-date in the future. Most participants 199/289 (69%) found the content of the messages in the core programme to be very good or good, and the variability between content types was appreciated by 78% (224/289). Only 34% (97/289) of the participants thought that all or nearly all messages were valuable, and some mentioned that it was not really the content that mattered, but that the messages served as a reminder about the decision to quit smoking. Conclusions: The programme was largely perceived satisfactory in most aspects concerning structure and content by young people and most participants stated that they would recommend it to a friend who wants to quit smoking. The motivational phase might be worth shortening and the number of messages around the quit date itself reduced. Shorter messages seemed to be more acceptable.]]> Thu 31 May 2018 11:48:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51321 Thu 31 Aug 2023 14:31:53 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46476 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.]]> Thu 24 Nov 2022 08:29:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8836 Sat 24 Mar 2018 08:38:21 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17793 Sat 24 Mar 2018 07:57:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47589 Mon 23 Jan 2023 14:49:41 AEDT ]]>