https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45540 Wed 22 Mar 2023 18:25:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36163 Wed 20 Sep 2023 15:36:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31251 n = 117) of whom had encountered at least one episode (median = 3, Interquartile range = 4) of funder interference in their research: 56% in Australasia, 33% in Europe, and 30% in North America. Censorship of research outputs was the most common form of interference. The wording or writing of reports and articles, as well as where, when and how findings were released were the areas in which influence was most often reported. Conclusions: Funder interference in addiction science appears to be common internationally. Strategies to increase transparency in the addiction science literature, including mandatory author declarations concerning the role of the funder, are necessary.]]> Wed 15 Dec 2021 16:07:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25770 Wed 15 Dec 2021 16:07:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47775 Wed 13 Mar 2024 09:42:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19531 Wed 11 Apr 2018 18:28:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26875 Wed 11 Apr 2018 17:19:54 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7997 Wed 11 Apr 2018 16:46:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26216 Wed 11 Apr 2018 16:25:11 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:318 Wed 11 Apr 2018 16:03:40 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14412 Wed 11 Apr 2018 16:01:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15690 Wed 11 Apr 2018 15:22:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14829 Wed 11 Apr 2018 15:21:10 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11805 Wed 11 Apr 2018 14:51:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:2674 Wed 11 Apr 2018 14:38:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21001 Wed 11 Apr 2018 14:03:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:1925 Wed 11 Apr 2018 13:54:35 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:2666 Wed 11 Apr 2018 13:31:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:2662 Wed 11 Apr 2018 13:18:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10872 Wed 11 Apr 2018 13:17:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26221 Wed 11 Apr 2018 13:11:20 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11842 Wed 11 Apr 2018 12:56:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:2675 Wed 11 Apr 2018 12:55:39 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17498 Wed 11 Apr 2018 12:32:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:388 40 g for women, >60 g for men), or subjective reports. EBACs of 0.08 g per cent were exceeded at least weekly by 37% of women and 39% of men. Teenage females had higher EBACs than teenage males, despite lower consumption. Intoxication was positively associated with lower age, European or Maori ethnicity relative to Asian, Pacific, or other ethnicities, and with residential halls relative to other living arrangements. Faculty of study was inconsistently related to intoxication. Discussion: Frequent drinking to intoxication is normative behaviour in this population group. Of particular concern are intoxication levels in females aged 16-21 years and in males throughout their 20s. The web-based retrospective diary is a useful means of measuring intoxication by self-report. Where time permits it can be enhanced by specification of drinking locations and beverage-specific questions.]]> Wed 11 Apr 2018 12:11:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29867 Wed 11 Apr 2018 11:17:36 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26162 Wed 11 Apr 2018 11:01:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:346 Wed 11 Apr 2018 10:55:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:8457 Wed 11 Apr 2018 09:57:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17873 Wed 11 Apr 2018 09:52:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26830 0.08 g/dL. The highest alcohol-positive fractions were for assault (71%), falls (31%) and traffic crashes (30%). Over a third (36%) of patients had a delay of >2 h between injury and breath test. The results underestimate blood alcohol concentrations at the time of injury so the true prevalence of pre-injury alcohol impairment is greater than our estimates suggest. Countermeasures are urgently needed, particularly roadside random breath testing and alcohol controls.]]> Wed 10 Nov 2021 15:05:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46917 Wed 07 Dec 2022 10:12:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43966 Wed 05 Oct 2022 14:15:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46720 n = 2,003; 50% male) completed an online survey assessing their alcohol consumption, frequency of attending drinking venues, enactment of specific PBSs, and demographic characteristics. Results: Greater enactment of the PBS that has previously been found to be associated with reduced alcohol use (‘Count your drinks’) was found among older respondents and those with lower levels of alcohol consumption. Older respondents were also more likely to enact two of the three PBSs that have been found to be associated with increased alcohol consumption (‘Use a designated driver’ and ‘Leave drinking venues at a pre-determined time’). Conclusions/Importance: Results suggest that enactment of specific PBSs may differ according to the individual-level variables of gender, age, and preferred beverage type, and the environmental-level variable of attendance at licensed premises. Randomized trials investigating the effectiveness of PBS interventions among drinker subgroups are needed to determine the extent to which enactment reduces alcohol consumption and alcohol-related harm and whether effects are moderated by the variables assessed in this study.]]> Tue 29 Nov 2022 11:13:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46277 n= 14996) and (2) cases of assault recorded by NZ Police from 2012 to 2018. Intervention: introduction of national maximum trading hours for all on‐licence (8 a.m.–4 a.m.) and off‐licence premises (7 a.m.–11 p.m.), abolishing existing 24‐hour licences, on 18 December 2013. Measurements: (1) Age‐specific incidence of hospitalization for assault on Friday, Saturday or Sunday from the national hospital discharge data set, excluding short‐stay emergency department admissions and (2) proportion of weekly police‐documented assaults occurring between 9 p.m. and 5.59 a.m., from NZ Police Demand and Activity data set. Findings: Following the restrictions, weekend hospitalized assaults declined by 11% [incidence rate ratio(IRR) = 0.89; 95% confidence interval (CI) = 0.84, 0.94], with the greatest reduction among 15–29‐year‐olds(IRR = 0.82; 95% CI = 0.76, 0.89). There was an absolute reduction (step change) of 1.8% (95% CI = 0.2, 3.5%) in the proportion of police‐documented assaults occurring at night, equivalent to 9.70 (95% CI = 0.10, 19.30) fewer night‐time assaults per week, out of 207.4. Conclusions: The 2013 implementation of national maximum trading hours for alcohol in NZ was followed by reductions in two complementary indicators of alcohol‐related assault, consistent with beneficial effects of modest nation‐wide restrictions on the late‐night availability of alcohol.]]> Tue 29 Aug 2023 15:06:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53677 Tue 09 Jan 2024 12:52:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35768 Tue 06 Jun 2023 13:29:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51447 Tue 05 Sep 2023 17:54:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35233 Tue 02 Jul 2019 12:19:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26789 Tue 01 May 2018 15:44:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50047 Thu 29 Jun 2023 15:06:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45356 Thu 27 Oct 2022 16:12:44 AEDT ]]> https://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38460 Thu 18 Nov 2021 10:00:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38679 Thu 16 Dec 2021 10:43:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49927 Thu 15 Jun 2023 11:55:49 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26866 Thu 14 Oct 2021 14:46:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30412 Thu 14 Apr 2022 11:01:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35002 Thu 04 Nov 2021 10:40:01 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38592 n = 1657) and 37% in 2017 (n = 1376) for population surveys, and 61% (n = 887) for follow-up. Cross-sectional comparisons showed no marked change in proportions reporting ever having participated in alcohol policy development (4.9% in 2014 versus 5.1% in 2017), or who objected to a licence application in the preceding year (1.0% versus 1.4%). Longitudinal comparisons also suggested little change. The most common reasons 2017 respondents gave for not participating were not knowing where to start (39%), lack of time (36%), and needing more information (32%), and this order was similar in 2014. Conclusion: Public participation in local liquor licencing is low and it has not increased substantially under the new legislation.]]> Thu 01 Sep 2022 10:15:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7767 Sat 24 Mar 2018 10:48:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7356 Sat 24 Mar 2018 10:47:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11804 Sat 24 Mar 2018 10:33:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7463 Sat 24 Mar 2018 08:38:46 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7070 Sat 24 Mar 2018 08:38:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7146 Sat 24 Mar 2018 08:34:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14139 Sat 24 Mar 2018 08:24:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15473 Sat 24 Mar 2018 08:19:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20748 Sat 24 Mar 2018 08:00:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16904 Sat 24 Mar 2018 07:59:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16916 Sat 24 Mar 2018 07:58:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18019 Sat 24 Mar 2018 07:56:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20849 Sat 24 Mar 2018 07:55:17 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20644 adj = 0.41, P = 0.013), club (β_adj = 0.73, P = 0.017), team and club (β_adj = 0.79, P = 0.002) and combinations of individual and team or club sponsorships (β_adj = 1.27, P < 0.002) were each associated with significantly higher AUDIT-consumption substance scores. Receipt of sponsorship by team and club [adjusted odds ratio (aOR) = 2.04; 95% confidence interval (CI) = 1.04–3.99] and combinations of individual and team or club sponsorships (aOR = 4.12; 95% CI = 1.29–13.15) were each associated with increased odds of being classified a hazardous drinker (AUDIT score >8). Respondents who sought out sponsorship were not at greater risk than respondents, or whose teams or clubs, had been approached by the alcohol industry. Conclusions: University students in the United Kingdom who play sport and who personally receive alcohol industry sponsorship or whose club or team receives alcohol industry sponsorship appear to have more problematic drinking behaviour than UK university students who play sport and receive no alcohol industry sponsorship. Policy to reduce or cease such sponsorship should be considered.]]> Sat 24 Mar 2018 07:53:10 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20195 Sat 24 Mar 2018 07:51:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21006 N = 1,823) were recruited in 3 states from Australian grade 7 classes. Multinomial logistic analyses compared adolescents who had only had a sip/taste of alcohol (sippers) with adolescents who had consumed at least a whole drink (drinkers) in the past 6 months. The multivariate model assessed a broad range of demographics, parenting practices, peer influences, and adolescent externalizing and internalizing behaviors, and controlled for school clustering. Results: Compared to drinkers, sippers were less likely to come from 1-parent households (odds ratio [OR] = 0.59, 95% confidence interval [CI]: 0.35 to 0.98); less likely to come from low-socioeconomic status (SES) households (OR = 0.54, 95% CI: 0.31 to 0.94); more likely to come from families where parents provide stricter alcohol-specific rules (OR = 1.21, 95% CI: 1.11 to 1.32), stricter monitoring of the child's activities (OR = 1.10, 95% CI: 1.04 to 1.16), more consistent parenting practices (OR = 1.13, 95% CI: 1.05 to 1.23), and more positive family relationships (OR = 1.56, 95% CI: 1.02 to 2.43); and report having fewer substance-using peers (OR = 0.80, 95% CI: 0.70 to 0.91) and greater peer disapproval of any substance use (OR = 1.30, 95% CI: 1.19 to 1.42). After adjustment for confounders, the associations with household composition and SES were no longer significant, but the familial and peer associations remained significant in the multivariate analysis, X²(40) = 1,493.06, p < 0.001. Conclusions: Sipping alcohol has different associations with known predictors of adolescent alcohol use than drinking whole beverages, and sipping may be a distinct or separable behavior. Future research should better define quantities of early consumption and assess the relationship between early sipping and drinking on long-term outcomes separately.]]> Sat 24 Mar 2018 07:50:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5548 Sat 24 Mar 2018 07:49:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5507 Sat 24 Mar 2018 07:47:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5500 Sat 24 Mar 2018 07:47:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:390 Sat 24 Mar 2018 07:42:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26805 0.25) compared with increases observed in 20- to 21-year-old Maori males. For Maori females, estimates were more variable, but overall, there was no evidence of the hypothesised effect (incidence rate ratios between 0.60 and 1.09; P values >0.07). Discussion and Conclusions: Overall, we find no evidence that lowering the minimum alcohol purchasing age increased weekend hospitalised assaults among young Maori. Inferences are compromised by lack of statistical power which underlines the importance of planning for evaluation of important policies well before they are implemented, particularly with a view to meeting obligations to Maori arising from the Treaty of Waitangi.]]> Sat 24 Mar 2018 07:36:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26229 Sat 24 Mar 2018 07:24:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26240 Sat 24 Mar 2018 07:24:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26228 Sat 24 Mar 2018 07:24:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26233 Sat 24 Mar 2018 07:24:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26232 Sat 24 Mar 2018 07:24:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26242 contemplation ladder, AUDIT questionnaire, and other alcohol-related measures. Two groups of binge drinkers were identified, one reporting bingeing more than twice per week (n = 645), and one bingeing 1–2 times per week (n = 237). A third group did not report binge drinking (n = 474). A higher readiness to change binge drinking was associated with more frequent bingeing, more interpersonal and academic problems with alcohol, less frequent use of cannabis, and living in a hall with a norm of binge drinking. The contemplation ladder for alcohol was sensitive to other alcohol-related behaviours, and may be useful in surveys of drinking where a brief measure of readiness to change is needed.]]> Sat 24 Mar 2018 07:24:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26239 Sat 24 Mar 2018 07:24:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26243 Sat 24 Mar 2018 07:24:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26234 Sat 24 Mar 2018 07:24:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3671 Sat 24 Mar 2018 07:23:10 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3958 Sat 24 Mar 2018 07:22:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4877 Sat 24 Mar 2018 07:22:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23067 Sat 24 Mar 2018 07:12:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39034 Mon 29 Jan 2024 17:51:17 AEDT ]]> https://nova.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://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21692 a priori as well as emergent domains. Results: During interviews, all nine OEF/OIF veterans (1 woman and 8 men) indicated they had received feedback for risky alcohol consumption. Participants generally liked the standard-drinks image, alcohol-related caloric and monetary feedback, and the website’s brevity and anonymity (a priori domains). They also experienced challenges with portions of the e-SBI assessment and viewed feedback regarding alcohol risk and normative drinking as problematic, but described potential benefits derived from the e-SBI (emergent domains). The most appealing e-SBIs would ensure anonymity and provide personalized transparent feedback about alcohol-related risk, consideration of the context for drinking, strategies to reduce drinking, and additional resources for veterans with more severe alcohol misuse. Conclusions: Results of this qualitative exploratory study suggest e-SBI may be an acceptable strategy for increasing OEF/OIF veteran access to evidenced-based alcohol SBI.]]> Mon 18 Mar 2019 12:16:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36440 Mon 04 May 2020 12:23:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50072 Fri 30 Jun 2023 11:20:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37875 Fri 28 May 2021 12:17:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48638 4 standard drinks), and alcohol-related harms. Results: At mean age of 12.9 years about one in ten children report parental supply of alcohol which increases to about four in ten children by 17.8 years. Mothers consistently more often supply their daughters with alcohol than their sons, [Wave 5 OR 1.77 (1.53,2.05)], while mothers less often supply sons than their daughters, [Wave 5 OR 0.82 (0.71,0.95)]. Mothers’ supply of alcohol to daughters predicts substantially increased odds of daughters binge drinking, [OR 1.67 (1.10,2.53)] and experiencing alcohol related harms, [OR 1.65 (1.10,2.48)]. Conclusion: There is a need to involve both mothers and fathers and to equally target female and male children in programs to reduce the harmful consequences of parental supply of alcohol to their children.]]> Fri 24 Mar 2023 13:23:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26804 Fri 22 Apr 2022 10:24:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38570 Fri 12 Nov 2021 12:46:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49417 Fri 12 May 2023 15:02:11 AEST ]]> https://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45762 Fri 04 Nov 2022 11:02:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30953 Fri 03 Dec 2021 10:35:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37361 Fri 03 Dec 2021 10:33:18 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33754 Fri 03 Dec 2021 10:33:03 AEDT ]]>