https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39525 Wed 27 Jul 2022 14:04:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51148 Wed 23 Aug 2023 16:06:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47131 Wed 14 Dec 2022 15:13:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52423 Wed 11 Oct 2023 12:07:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24179 Wed 11 Apr 2018 16:55:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39228 Wed 10 Aug 2022 08:45:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30646 Tue 09 Jul 2019 11:29:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46524 Tue 05 Sep 2023 14:38:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43039 4 standard drinks on a single occasion), and (ii) the total number of alcoholic drinks consumed in the past year, adjusted for a range of potential child, parent, family, and peer covariates. Results: Fifty percent of adolescents reported alcohol use and 36% reported bingeing at wave 5 (mean age 16.9 years), and the mean age of initiation to alcohol use for drinkers was 15.1 years. Age of initiation was significantly associated with binge drinking and total quantity of alcohol consumed in unadjusted and adjusted models. Age of first drunkenness was associated with total quantity of alcohol consumed in unadjusted models but not adjusted models and was not associated with subsequent bingeing. Conclusions: Initiating alcohol use earlier in adolescence is associated with an increased risk of binge drinking and higher quantity of consumption in late secondary school, supporting an argument for delaying alcohol initiation for as long as possible to reduce the risk for problematic use in later adolescence and the alcohol-related harms that may accompany this use.]]> Thu 24 Aug 2023 09:26:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49317 Thu 11 May 2023 14:53:09 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35002 Thu 04 Nov 2021 10:40:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47847 Thu 02 Feb 2023 16:26:00 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49210 Sun 07 May 2023 09:29:54 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26237 sipping only, and drinking only. Results: Combining sipping and drinking into a single category, lifetime consumption was reported by 67.3% of the present sample. Distinguishing lifetime consumption by sipping and drinking: only 7.8% of adolescents had consumed a whole beverage; the remaining 59.6% had only sipped. Consumption of whole beverages was mostly limited to 1 to 2 drinks (84.2% of drinkers). Sipping and drinking were also infrequent: 78.2% of sipping and 60.4% of drinking, occurred less than monthly. Heavy episodic consumption was uncommon (1.2% of the sample). When other population studies were inspected, a clear trend for higher drinking rates were found in those studies where sipping was counted as drinking and vice versa. Conclusions: Consumption of whole beverages appears infrequent in early adolescence, as sipping, but not drinking, was common in our sample. Comparing the present data with international population consumption measures highlights the need to more precisely measure and report adolescent consumption, particularly in relation to sipping.]]> Sat 24 Mar 2018 07:24:04 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24608 Sat 24 Mar 2018 07:11:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26832  90% retention, and a 3-year follow-up is under way. The data collected include child, familial, parental and peer factors addressing demographics, alcohol use and supply, parenting practices, other substance use, adolescent behaviours and peer influences. The cohort is ideal for prospectively examining predictors of initiation and progression of alcohol use, which increases markedly through adolescence.]]> Mon 23 Sep 2019 13:37:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51177  0.05). Average heavy consumption definitions of tolerance were most strongly associated with persistent AUD (OR = 6.66, P = 0.001; OR = 4.65, P = 0.004) but not associated with new-onset AUD (Ps > 0.05). Conclusions: Initial drink and percentage change thresholds appear to improve the efficacy of change-based tolerance as an indicator for new-onset alcohol use disorder diagnosis in self-report surveys of young adults. When predicting persistent alcohol use disorder, average heavy consumption-based indicators appear to be a better way to measure tolerance than self-reported change-based definitions.]]> Mon 22 Apr 2024 12:31:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46397 n = 2967) and time-varying effect models were used to investigate the associations between lifestyle risk factors and the prevalence of MDD by sex. Results: The estimated prevalence of MDD significantly increased among adolescents from 4% (95% CI 3–6%) at 13 years of age to 19% (95% CI 15–24%) at 16 years of age. From the age of 13, males were significantly less likely to have a diagnosis of MDD than females with the maximum sex difference occurring at the age of 15 (OR 0.24, 95% CI 0.13–0.47). All lifestyle risk factors were at some point significantly associated with MDD, but these associations did not differ by sex, except for body mass index. Discussion: These findings suggest that interventions designed to prevent the development of depression should be implemented in early adolescence, ideally before or at the age of 13 and particularly among young females given that the prevalence of MDD begins to rise and diverge from young males. Interventions should also simultaneously address lifestyle risk factors and symptoms of major depression.]]> Mon 21 Nov 2022 14:57:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46245 Mon 14 Nov 2022 13:21:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39579 Mon 08 Aug 2022 11:35:05 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49927 Mon 06 May 2024 15:16:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50072 Fri 30 Jun 2023 11:20:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53115 Fri 17 Nov 2023 11:27:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40591 Fri 15 Jul 2022 11:00:15 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44463 Fri 14 Oct 2022 09:27:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44110 Fri 07 Oct 2022 13:58:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38575 n = 1813) were used to model latent class alcohol use trajectories over 5 annual follow-ups (mean age = 13.9 until 17.8 years). Regression models were used to determine whether child, parent, and peer factors at baseline (mean age = 12.9 years) predicted trajectory membership and whether trajectories predicted self-reported symptoms of AUD at the final follow-up (mean age = 18.8 years). RESULTS: We identified 4 classes: abstaining (n = 352); late-onset moderate drinking (n = 503); early-onset moderate drinking (n = 663); and early-onset heavy drinking (n = 295). Having more alcohol-specific household rules reduced risk of early-onset heavy drinking compared with late-onset moderate drinking (relative risk ratio: 0.31; 99.5% confidence interval [CI]: 0.11-0.83), whereas having more substance-using peers increased this risk (relative risk ratio: 3.43; 99.5% CI: 2.10-5.62). Early-onset heavy drinking increased odds of meeting criteria for AUD in early adulthood (odds ratio: 7.68; 99.5% CI: 2.41-24.47). CONCLUSIONS: Our study provides evidence that parenting factors and peer influences in early adolescence should be considered to reduce risk of later alcohol-related harm. Early initiation and heavy alcohol use throughout adolescence are associated with increased risk of alcohol-related harm compared with recommended maximum levels of consumption (late-onset, moderate drinking).]]> Fri 05 Nov 2021 16:20:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45762 Fri 04 Nov 2022 11:02:02 AEDT ]]>