https://novaprd-lb.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 The association between parental supply of alcohol and supply from other sources to young people: a prospective cohort https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39525 Wed 27 Jul 2022 14:04:09 AEST ]]> TAPES: A tool for assessment and prioritisation in exome studies https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:37272 Wed 16 Sep 2020 14:03:32 AEST ]]> Parental supply of sips and whole drinks of alcohol to adolescents and associations with binge drinking and alcohol-related harms: a prospective cohort study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:47131 Wed 14 Dec 2022 15:13:34 AEDT ]]> The future burden of lung cancer attributable to current modifiable behaviours: a pooled study of seven Australian cohorts https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:41663 Wed 13 Mar 2024 18:26:17 AEDT ]]> Rehabilitation of stroke patients using traditional Thai massage, herbal treatments and physical therapies https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:22250 Wed 11 Apr 2018 17:20:41 AEST ]]> Research participation effects: a skeleton in the methodological cupboard https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26218 Wed 11 Apr 2018 15:02:55 AEST ]]> Fasting whole blood fatty acid profile and risk of type 2 diabetes in adults: a nested case control study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:16813 Wed 11 Apr 2018 14:42:05 AEST ]]> Validity of using multiple imputation for "unknown" stage at diagnosis in population-based cancer registry data https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30808 Wed 11 Apr 2018 12:31:21 AEST ]]> Online and offline recruitment of young women for a longitudinal health survey: findings from the Australian Longitudinal Study on Women's Health 1989-95 cohort https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:17451 Wed 11 Apr 2018 11:29:27 AEST ]]> Integrating and extending cohort studies: lessons from the eXtending Treatments, Education and Networks in Depression (xTEND) study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:13741 Wed 11 Apr 2018 09:24:26 AEST ]]> STROKOG (stroke and cognition consortium): an international consortium to examine the epidemiology, diagnosis, and treatment of neurocognitive disorders in relation to cerebrovascular disease https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:34396 Wed 09 Mar 2022 16:03:27 AEDT ]]> Parental supply of alcohol and alcohol consumption in adolescence: prospective cohort study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26870 4 standard drinks on any occasion); parental supply of alcohol; supply from other sources; child, parent, family and peer covariates. After adjustment, adolescents supplied alcohol by parents had higher odds of drinking whole beverages [odds ratio (OR) 1.80, 95% confidence interval (CI) 1.33–2.45] than those not supplied by parents. However, parental supply was not associated with bingeing, and those supplied alcohol by parents typically consumed fewer drinks per occasion (incidence rate ratio 0.86, 95% CI 0.77–0.96) than adolescents supplied only from other sources. Adolescents obtaining alcohol from non-parental sources had increased odds of drinking whole beverages (OR 2.53, 95% CI 1.86–3.45) and bingeing (OR 3.51, 95% CI 2.53–4.87). Parental supply of alcohol to adolescents was associated with increased risk of drinking, but not bingeing. These parentally-supplied children also consumed fewer drinks on a typical drinking occasion. Adolescents supplied alcohol from non-parental sources had greater odds of drinking and bingeing. Further follow-up is necessary to determine whether these patterns continue, and to examine alcohol-related harm trajectories. Parents should be advised that supply of alcohol may increase children's drinking.]]> Wed 09 Feb 2022 15:53:48 AEDT ]]> Consent to data linkage in a large online epidemiological survey of 18–23 year old Australian women in 2012–13 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:35872 Tue 17 Dec 2019 12:44:42 AEDT ]]> Intimate partner violence adversely impacts health over 16 years and across generations: a longitudinal cohort study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30776 Tue 01 May 2018 08:51:51 AEST ]]> The Australian Longitudinal Study on Women's Health: 1973-1978 (Young) Cohort Survey 4 data, 2006 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8545 Thu 30 Jan 2014 14:55:47 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1921-1926 (Old-age) Cohort Survey 3 data, 2002 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8558 Thu 30 Jan 2014 14:54:51 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1946-1951 (Mid-age) Cohort Survey 1 data, 1996 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8551 Thu 30 Jan 2014 14:46:47 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1973-1978 (Young) Cohort Survey 1 data, 1996 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8552 Thu 30 Jan 2014 14:44:51 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1973-1978 (Young) Cohort Survey 2 data, 2000 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8556 Thu 30 Jan 2014 14:44:05 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1946-1951 (Mid-age) Cohort Survey 5 data, 2007 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8547 Thu 30 Jan 2014 14:43:14 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1921-1926 (Old-age) Cohort Survey 4 data, 2005 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8544 Thu 30 Jan 2014 14:42:50 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1921-1926 (Old-age) Cohort Survey 5 data, 2008 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8549 Thu 30 Jan 2014 14:42:12 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1946-1951 (Mid-age) Cohort Survey 4 data, 2004 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8543 Thu 30 Jan 2014 14:41:07 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1946-1951 (Mid-age) Cohort Survey 2 data, 1998 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8554 Thu 30 Jan 2014 14:40:39 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1973-1978 (Young) Cohort Survey 4 data - Child data, 2006 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8546 Thu 30 Jan 2014 14:40:12 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1921-1926 (Old-age) Cohort Survey 1 data, 1996 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8550 Thu 30 Jan 2014 14:39:42 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1946-1951 (Mid-age) Cohort Survey 3 data, 2001 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8559 Thu 30 Jan 2014 14:38:53 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1973-1978 (Young) Cohort Survey 3 data, 2003 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8542 Thu 30 Jan 2014 14:38:23 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1921-1926 (Old-age) Cohort Survey 2 data, 1999 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8540 Thu 30 Jan 2014 14:37:34 AEDT ]]> The Australian Longitudinal Study on Women's Health: 1921-1926 (Old-age) Cohort Survey 2 data, 1999 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8555 Thu 30 Jan 2014 14:36:56 AEDT ]]> A method for meta-analysis of molecular association studies https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:577 Thu 25 Jul 2013 09:10:28 AEST ]]> Age of Alcohol Initiation and Progression to Binge Drinking in Adolescence: A Prospective Cohort Study https://novaprd-lb.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 ]]> Consent to data linkage in a large online epidemiological survey of 18-23 year old Australian women in 2012-13 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43362 Thu 15 Sep 2022 15:53:41 AEST ]]> Mobilizing an underused resource: cohort studies for population health intervention research https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:43283 Thu 15 Sep 2022 12:30:39 AEST ]]> Menopausal Hormone Therapy use and breast cancer risk by receptor subtypes: results from the New South Wales Cancer Lifestyle and EvaluAtion of Risk (CLEAR) study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:33626 Thu 03 Feb 2022 12:22:13 AEDT ]]> Combined effects of complement factor H genotypes, fish consumption, and inflammatory markers on long-term risk for age-related macular degeneration in a cohort https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8430 Sat 24 Mar 2018 08:40:46 AEDT ]]> Survey effect on use of eye care by older persons with correctable visual impairment https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8035 Sat 24 Mar 2018 08:35:05 AEDT ]]> Prevalence and magnitude of classical risk factors for stroke in a cohort of 5092 chinese steelworkers over 13.5 years of follow-up https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:1947 Sat 24 Mar 2018 08:33:19 AEDT ]]> A method for meta-analysis of molecular association studies https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:1756 Sat 24 Mar 2018 08:27:27 AEDT ]]> Alcohol use and mortality in older men and women https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:10291 Sat 24 Mar 2018 08:13:02 AEDT ]]> Exploring new frontiers in occupational epidemiology: the Hunter Community Study (HCS) from Australia https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:11376 Sat 24 Mar 2018 08:11:55 AEDT ]]> Cohort management: developing and maintaining participant databases in longitudinal studies https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:10327 Sat 24 Mar 2018 08:07:02 AEDT ]]> Diet quality score is a predictor of type 2 diabetes risk in women: the Australian longitudinal study on women's health https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:19446 Sat 24 Mar 2018 08:02:17 AEDT ]]> Recruiting online: lessons from a longitudinal survey of contraception and pregnancy intentions of young Australian women https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:21020 Sat 24 Mar 2018 07:50:35 AEDT ]]> The long-term relation among retinal arteriolar narrowing, blood pressure, and incident severe hypertension https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:5222 Sat 24 Mar 2018 07:44:21 AEDT ]]> Risk factors associated with incident sexually transmitted infections in HIV-positive patients in the Australian HIV Observational Database: a prospective cohort study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30295 Sat 24 Mar 2018 07:33:34 AEDT ]]> Health and ageing data from the Hunter Community Study, NSW, Australia https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8539 Mon 23 Sep 2019 11:55:24 AEST ]]> Trajectories of parental and peer supply of alcohol in adolescence and associations with later alcohol consumption and harms: A prospective cohort study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46245 Mon 14 Nov 2022 13:21:59 AEDT ]]> The overall effect of parental supply of alcohol across adolescence on alcohol-related harms in early adulthood-a prospective cohort study https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39579 Mon 08 Aug 2022 11:35:05 AEST ]]> Microvascular flow, clinical illness severity and cardiovascular function in the preterm infant https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:4348 Mon 08 Apr 2019 09:49:35 AEST ]]> Raking of data from a large Australian cohort study improves generalisability of estimates of prevalence of health and behaviour characteristics and cancer incidence https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:51422 Mon 04 Sep 2023 14:57:22 AEST ]]> Longitudinal inconsistency in responses to survey items that ask women about intimate partner violence https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:42180 n = 13,715). Consistency of self-reported IPV was evaluated by responses to the question “Have you ever been in a violent relationship with a partner/spouse?” Demographic and health characteristics of consistent and inconsistent reporters of IPV were compared. Multinomial logistic regression was used to determine the strength of the association between demographic and health characteristics of the women and their consistency of longitudinal reporting of IPV. Results: There were 10,966 women who answered IPV questions over six surveys, with 9610 women (87.6%) providing consistent responses. Inconsistent responses were provided by 1356 women (12.4%), of whom 258 (2.4%) reported IPV at all but one survey (Mainly IPV), 587 (5.3%) reported no IPV at all but one survey (Mainly no IPV), and 511 (4.7%) reported Mixed IPV responses over time. Women in the Mainly IPV group, and those in the Mixed IPV group were similar to those in the Consistent IPV group in demographic and health characteristics, whereas women in the Mainly no IPV group were similar to those in the Consistent never IPV group. Conclusions: IPV data collected at one time point may involve around 12% false negative or false positive responses. To increase reliability, IPV should be measured on more than one occasion, using different techniques and methods that account for intentional and unintentional over- and under-reporting.]]> Fri 26 Aug 2022 08:16:43 AEST ]]> Gender differences in the supply of alcohol to adolescent daughters and sons https://novaprd-lb.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 ]]> Genome-wide analysis of thyroid function in Australian adolescents highlights SERPINA7 and NCOA3 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39717 Fri 17 Jun 2022 17:31:05 AEST ]]> Gestational breast cancer in New South Wales: A population-based linkage study of incidence, management, and outcomes https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39719 Fri 17 Jun 2022 17:31:03 AEST ]]> General practice registrars' experiences of antenatal care: a cross-sectional analysis https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39988 Fri 15 Jul 2022 10:14:56 AEST ]]> Survey data from the Australian Longitudinal Study on Women's Health https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8553 Fri 09 Sep 2016 08:37:35 AEST ]]> Irritable bowel syndrome and risk of glaucoma: An analysis of two independent population-based cohort studies https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:49881 Fri 09 Jun 2023 10:36:37 AEST ]]> Digital contact tracing technologies in epidemics: a rapid review https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:46946 Fri 09 Dec 2022 14:14:31 AEDT ]]> Contribution of different relapse phenotypes to disability in multiple sclerosis https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:34630 Fri 05 Apr 2019 11:37:25 AEDT ]]>