Alcohol AbuseAPSALSNCT02280551
The Australian Parental Supply of Alcohol Longitudinal Study (APSALS)
An observational study of Alcohol Abuse, run by The University of New South Wales at 1 site in Australia.
Trial summary
Parents can positively influence their children's alcohol use. One strategy they use is to provide their children with alcohol, believing it is the best way to teach their children how to drink responsibly. The impact of parental supply is not well understood and may be unintentionally harmful. Read more about this study
- Who is it for?
- Ages 11 to 13 yearsHealthy volunteers can take part
- Conditions the study is for
- Alcohol Abuse
- How many people
- 1,927 participants
- Where
- 1 siteAustralia
- Study dates
- Mar 2010to Dec 2021
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 11 to 13 years
- All sexes
- Healthy volunteers accepted
- Child
Study population: The cohort includes 1927 Australian adolescents born from 1996-1999 (mean age at baseline: 12.9 years), and a parent or guardian (typically the mother (in 86.3% of dyads; mean age at baseline: 43.9 years)).
Who may be able to join
- Grade 7 High School enrolment
- Parental signed informed consent provided
Who cannot join
- none
Trial locations and contacts
1 site in 1 country.
About this study
Parents can positively influence their children's alcohol use. One strategy they use is to provide their children with alcohol, believing it is the best way to teach their children how to drink responsibly. The impact of parental supply is not well understood and may be unintentionally harmful. This study will research the consequences of parental supply within the broader context of parent, child and peer relationships. It will help to determine how parental supply influences the different patterns of adolescent alcohol consumption over time, providing essential information to help parents prevent alcohol misuse in their children. Parents can play a pivotal role in prevention of alcohol misuse, but at present we don't know exactly how.
Read the detailed description
Title: The Australian Parental Supply of Alcohol Longitudinal Study (APSALS): Can parents teach their children to drink alcohol responsibly? Or, is one drop a drop too many?
Background: The Australian Parental Supply of Alcohol Longitudinal Study (APSALS) was established to investigate the short- and long-term associations between exposure to parental alcohol provision, early adolescent alcohol initiation, subsequent alcohol use, and alcohol-related harms, controlling for a wide range of parental, child, familial, peer, and contextual covariates. The cohort commenced with 1927 parent-child dyads comprised of Australian Grade 7 school students, and a parent/guardian. Baseline, one- and two-year follow-up data have been collected, and a three-year follow-up is underway. 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. Baseline data show that only 5.8% of the Grade 7 adolescents had initiated alcohol consumption (of a whole serve of alcohol). Thus, the cohort is ideal for prospectively examining predictors of initiation and progression of alcohol use, which increases markedly through adolescence. Results to date have highlighted the importance of distinguishing between sipping and drinking of full serves of alcohol in the measurement of adolescent alcohol use as these represent distinct behaviours which occur in different environments.
Aims: The aims of this study are to determine if:
- Parental supply is associated with the progression (acceleration/deceleration) in adolescent drinking over time;
- The immediate and broader contextual factors mediate or moderate the relationship between parental supply and progression in adolescent drinking over time.
Design: A longitudinal study across three states in Australia (New South Wales, Tasmania, and Western Australia).
Recruitment: Catholic, Independent and Government school in NSW, Tasmania and Western Australia.
Data analysis: Logistic and binomial regression, and multi-level modelling will be used, and latent growth curve modelling (LGCM) within the framework of structural equations modelling (SEM). Moderating and mediating variables, both time variant (e.g., association with alcohol using peers) and time-invariant (e.g. gender) will be modelled. Outcome variables will be modelled using appropriate parametric distributions - Poisson distributions for count data outcomes and binomial distributions for categorical data outcomes. All analyses will be conducted in MPlus v5.2 or Stata. As recommended by Graham imputation of missing data will be done.
Sample size calculations: Due to the flexibility of the modelling approach taken (i.e., the number of parameters allowed to vary), there are a number of different scenarios that can be tested to determine an adequate sample size. The primary interest is in differences in drinking over time between groups who were supplied or not supplied alcohol. Thus, regression analysis will address drinking on a dummy-coded "parental supply" variable. It is hypothesised that parental supply of alcohol would alter the trajectory of harmful drinking by a regression coefficient of ±0.2. This regression coefficient is equivalent to a medium effect size difference between groups, a result which is not unexpected given past research. It was assumed that attrition would result in around 20% missing data on each subsequent measurement occasion. Based on simulation studies, and factoring in potential mediators and moderators, 600 children are required at a minimum. However, as small cell sizes for some associations may affect power, a final sample of ~1800 children and parents has been recruited.
- Conditions
- Alcohol Abuse
- Keywords
- adolescent, alcohol, parent, epidemiology
- Medical subject headings
- Alcoholism
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Adolescents | 1927 Grade 7 high school students | |
| Parent | A parent of each of the 1927 Grade 7 high school students |
What is being measured
The primary outcome is the main question the study is designed to answer.
Frequency of alcohol consumption
Frequency of alcohol consumption within past 12 months, categorized as: none, 1 day/month, 2-3 days/month, 1 day/week, 2 days/week, 3 days/week, 4 days/week, 5 days/week, 6 days/week, every day.
Measured: 12 month
Typical quantity of alcohol consumption
Quantity of alcohol consumption within past 12 months measured as number of standard drinks (an Australian standard drink contains 10g alcohol).
Measured: 12 month
Frequency of binge drinking
Frequency of drinking more than 4 standard drinks in the past 12 months
Measured: 12 month
Experience of alcohol related harms
17 item scale of alcohol related harms, adapted from the School Health and Alcohol Harm Reduction Project. Scores range from 0 to 85, with higher scores indicating greater experience of harms.
Measured: 12 months
Symptoms of alcohol abuse, dependence and alcohol use disorder
Symptoms of alcohol abuse, dependence, and alcohol use disorder measured via the Diagnostic Interview Schedule for Children 4th Edition. Items correspond to Diagnostic and Statistical Manual of Mental Disorders 4th Edition symptoms of alcohol abuse (4 symptoms), dependence (7 symptoms), and alcohol use disorder (11 symptoms).
Measured: 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted31 Oct 2014 (estimated)
- Study startMar 2010
- Primary completionDec 2021 (estimated)
- Study completionDec 2021 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (18)Papers the sponsor has linked to this study.
- Other trials for Alcohol AbuseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 1,927 participants (actual)
Sponsor and investigators
- Lead sponsor
- The University of New South Wales
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Professor Richard P Mattick, The University of New South Wales
- Investigators
- RICHARD P MATTICK, PhD, Principal investigator, NATIONAL DRUG AND ALCOHOL RESEARCH CENTRE, UNSW AUSTRALIAAMY PEACOCK, PhD, Principal investigator, NATIONAL DRUG AND ALCOHOL RESEARCH CENTRE, UNSW AUSTRALIA
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02280551
- Sponsor's protocol ID
- DP:1096668
- Acronym
- APSALS
- Status last verified
- May 2021
- First submitted
- 29 Oct 2014
- Last updated
- 6 May 2021
- Results posted
- No
- Data monitoring committee
- No
Publications
Wadolowski M, Bruno R, Aiken A, Stone C, Najman J, Kypri K, Slade T, Hutchinson D, McBride N, Mattick RP. Sipping, drinking, and early adolescent alcohol consumption: a cautionary note. Alcohol Clin Exp Res. 2015 Feb;39(2):350-4. doi: 10.1111/acer.12613.
PubMed 25684054Wadolowski M, Hutchinson D, Bruno R, Aiken A, Clare P, Slade T, Najman J, Kypri K, McBride N, Mattick RP. Early Adolescent Alcohol Use: Are Sipping and Drinking Distinct? Alcohol Clin Exp Res. 2015 Sep;39(9):1805-13. doi: 10.1111/acer.12826. Epub 2015 Aug 6.
PubMed 26248081Wadolowski M, Hutchinson D, Bruno R, Aiken A, Najman JM, Kypri K, Slade T, McBride N, Mattick RP. Parents Who Supply Sips of Alcohol in Early Adolescence: A Prospective Study of Risk Factors. Pediatrics. 2016 Mar;137(3):e20152611. doi: 10.1542/peds.2015-2611. Epub 2016 Feb 26.
PubMed 26921283Mattick RP, Wadolowski M, Aiken A, Clare PJ, Hutchinson D, Najman J, Slade T, Bruno R, McBride N, Degenhardt L, Kypri K. Parental supply of alcohol and alcohol consumption in adolescence: prospective cohort study. Psychol Med. 2017 Jan;47(2):267-278. doi: 10.1017/S0033291716002373. Epub 2016 Oct 5.
PubMed 27702422Aiken A, Wadolowski M, Bruno R, Najman J, Kypri K, Slade T, Hutchinson D, McBride N, Mattick RP. Cohort Profile: The Australian Parental Supply of Alcohol Longitudinal Study (APSALS). Int J Epidemiol. 2017 Apr 1;46(2):e6. doi: 10.1093/ije/dyv051.
PubMed 25953785Aiken A, Clare PJ, Wadolowski M, Hutchinson D, Najman JM, Slade T, Bruno R, McBride N, Kypri K, Mattick RP. Age of Alcohol Initiation and Progression to Binge Drinking in Adolescence: A Prospective Cohort Study. Alcohol Clin Exp Res. 2018 Jan;42(1):100-110. doi: 10.1111/acer.13525. Epub 2017 Nov 21.
PubMed 29160941Mattick RP, Clare PJ, Aiken A, Wadolowski M, Hutchinson D, Najman J, Slade T, Bruno R, McBride N, Kypri K, Vogl L, Degenhardt L. Association of parental supply of alcohol with adolescent drinking, alcohol-related harms, and alcohol use disorder symptoms: a prospective cohort study. Lancet Public Health. 2018 Feb;3(2):e64-e71. doi: 10.1016/S2468-2667(17)30240-2. Epub 2018 Feb 1.
PubMed 29396259Sharmin S, Kypri K, Wadolowski M, Bruno R, Khanam M, Aiken A, Hutchinson D, M Najman J, Slade T, McBride N, Attia J, P Mattick R. Parent characteristics associated with approval of their children drinking alcohol from ages 13 to 16 years: prospective cohort study. Aust N Z J Public Health. 2018 Aug;42(4):347-353. doi: 10.1111/1753-6405.12811. Epub 2018 Jul 23.
PubMed 30035831Sharmin S, Kypri K, Wadolowski M, Bruno R, Khanam M, Aiken A, Hutchinson D, Najman JM, Slade T, McBride N, Attia J, Palazzi K, Oldmeadow C, Mattick RP. Parent hazardous drinking and their children's alcohol use in early and mid-adolescence: prospective cohort study. Eur J Public Health. 2019 Aug 1;29(4):736-740. doi: 10.1093/eurpub/ckz029.
PubMed 30851106Clare PJ, Aiken A, Yuen WS, Peacock A, Boland V, Wadolowski M, Hutchinson D, Najman J, Slade T, Bruno R, McBride N, Degenhardt L, Kypri K, Mattick RP. Parental supply of alcohol as a predictor of adolescent alcohol consumption patterns: A prospective cohort. Drug Alcohol Depend. 2019 Nov 1;204:107529. doi: 10.1016/j.drugalcdep.2019.06.031. Epub 2019 Aug 29.
PubMed 31494442Clare PJ, Dobbins T, Bruno R, Peacock A, Boland V, Yuen WS, Aiken A, Degenhardt L, Kypri K, Slade T, Hutchinson D, Najman JM, McBride N, Horwood J, McCambridge J, Mattick RP. The overall effect of parental supply of alcohol across adolescence on alcohol-related harms in early adulthood-a prospective cohort study. Addiction. 2020 Oct;115(10):1833-1843. doi: 10.1111/add.15005. Epub 2020 Mar 6.
PubMed 32034841Boland VC, Clare PJ, Yuen WS, Peacock A, Aiken A, Wadolowski M, Hutchinson D, Najman J, Slade T, Bruno R, McBride N, Degenhardt L, Kypri K, Mattick RP. The association between parental supply of alcohol and supply from other sources to young people: a prospective cohort. Addiction. 2020 Nov;115(11):2140-2147. doi: 10.1111/add.15033. Epub 2020 Mar 24.
PubMed 32141130Yuen WS, Chan G, Bruno R, Clare P, Mattick R, Aiken A, Boland V, McBride N, McCambridge J, Slade T, Kypri K, Horwood J, Hutchinson D, Najman J, De Torres C, Peacock A. Adolescent Alcohol Use Trajectories: Risk Factors and Adult Outcomes. Pediatrics. 2020 Oct;146(4):e20200440. doi: 10.1542/peds.2020-0440. Epub 2020 Sep 23.
PubMed 32968030Aiken A, Clare PJ, Boland VC, Degenhardt L, Yuen WS, Hutchinson D, Najman J, McCambridge J, Slade T, McBride N, De Torres C, Wadolowski M, Bruno R, Kypri K, Mattick RP, Peacock A. Parental supply of sips and whole drinks of alcohol to adolescents and associations with binge drinking and alcohol-related harms: A prospective cohort study. Drug Alcohol Depend. 2020 Oct 1;215:108204. doi: 10.1016/j.drugalcdep.2020.108204. Epub 2020 Aug 5.
PubMed 32871506Yuen WS, Chan G, Bruno R, Clare PJ, Aiken A, Mattick R, Farrell M, Kypri K, Slade T, Hutchinson D, McBride N, McCambridge J, Boland V, Peacock A. Trajectories of alcohol-induced blackouts in adolescence: early risk factors and alcohol use disorder outcomes in early adulthood. Addiction. 2021 Aug;116(8):2039-2048. doi: 10.1111/add.15415. Epub 2021 Feb 1.
PubMed 33464664
Study at a glance
From the registry record, last updated by the sponsor on 6 May 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Australian Parental Supply of Alcohol Longitudinal Study (APSALS)
- ClinicalTrials.gov ID
- NCT02280551
- Acronym / sponsor ID
- APSALS / DP:1096668
- Conditions
- Alcohol Abuse
- Keywords
- adolescent, alcohol, parent, epidemiology
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,927 participants (actual)
- Lead sponsor
- The University of New South WalesUniversity, hospital or other
- Study start
- Mar 2010 (actual)
- Primary completion
- Dec 2021 (estimated)
- Study completion
- Dec 2021 (estimated)
- First posted
- 31 Oct 2014 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Parents can positively influence their children's alcohol use. One strategy they use is to provide their children with alcohol, believing it is the best way to teach their children how to drink responsibly. The impact of parental supply is not well understood and may be unintentionally harmful. This study will research the consequences of parental supply within the broader context of parent, child and peer relationships. It will help to determine how parental supply influences the different patterns of adolescent alcohol consumption over time, providing essential information to help parents prevent alcohol misuse in their children. Parents can play a pivotal role in prevention of alcohol misuse, but at present we don't know exactly how.
Detailed description
Title: The Australian Parental Supply of Alcohol Longitudinal Study (APSALS): Can parents teach their children to drink alcohol responsibly? Or, is one drop a drop too many?
Background: The Australian Parental Supply of Alcohol Longitudinal Study (APSALS) was established to investigate the short- and long-term associations between exposure to parental alcohol provision, early adolescent alcohol initiation, subsequent alcohol use, and alcohol-related harms, controlling for a wide range of parental, child, familial, peer, and contextual covariates. The cohort commenced with 1927 parent-child dyads comprised of Australian Grade 7 school students, and a parent/guardian. Baseline, one- and two-year follow-up data have been collected, and a three-year follow-up is underway. 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. Baseline data show that only 5.8% of the Grade 7 adolescents had initiated alcohol consumption (of a whole serve of alcohol). Thus, the cohort is ideal for prospectively examining predictors of initiation and progression of alcohol use, which increases markedly through adolescence. Results to date have highlighted the importance of distinguishing between sipping and drinking of full serves of alcohol in the measurement of adolescent alcohol use as these represent distinct behaviours which occur in different environments.
Aims: The aims of this study are to determine if:
- Parental supply is associated with the progression (acceleration/deceleration) in adolescent drinking over time;
- The immediate and broader contextual factors mediate or moderate the relationship between parental supply and progression in adolescent drinking over time.
Design: A longitudinal study across three states in Australia (New South Wales, Tasmania, and Western Australia).
Recruitment: Catholic, Independent and Government school in NSW, Tasmania and Western Australia.
Data analysis: Logistic and binomial regression, and multi-level modelling will be used, and latent growth curve modelling (LGCM) within the framework of structural equations modelling (SEM). Moderating and mediating variables, both time variant (e.g., association with alcohol using peers) and time-invariant (e.g. gender) will be modelled. Outcome variables will be modelled using appropriate parametric distributions - Poisson distributions for count data outcomes and binomial distributions for categorical data outcomes. All analyses will be conducted in MPlus v5.2 or Stata. As recommended by Graham imputation of missing data will be done.
Sample size calculations: Due to the flexibility of the modelling approach taken (i.e., the number of parameters allowed to vary), there are a number of different scenarios that can be tested to determine an adequate sample size. The primary interest is in differences in drinking over time between groups who were supplied or not supplied alcohol. Thus, regression analysis will address drinking on a dummy-coded "parental supply" variable. It is hypothesised that parental supply of alcohol would alter the trajectory of harmful drinking by a regression coefficient of ±0.2. This regression coefficient is equivalent to a medium effect size difference between groups, a result which is not unexpected given past research. It was assumed that attrition would result in around 20% missing data on each subsequent measurement occasion. Based on simulation studies, and factoring in potential mediators and moderators, 600 children are required at a minimum. However, as small cell sizes for some associations may affect power, a final sample of ~1800 children and parents has been recruited.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Adolescents | – | –1927 Grade 7 high school students |
| Parent | – | –A parent of each of the 1927 Grade 7 high school students |
Who may qualify
- Ages
- 11 to 13 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child
- Study population
- The cohort includes 1927 Australian adolescents born from 1996-1999 (mean age at baseline: 12.9 years), and a parent or guardian (typically the mother (in 86.3% of dyads; mean age at baseline: 43.9 years)).
Key inclusion criteria (2 listed)
- Grade 7 High School enrolment
- Parental signed informed consent provided
Key exclusion criteria (1 listed)
- none
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Frequency of alcohol consumption
Time frame: 12 month
Frequency of alcohol consumption within past 12 months, categorized as: none, 1 day/month, 2-3 days/month, 1 day/week, 2 days/week, 3 days/week, 4 days/week, 5 days/week, 6 days/week, every day.
Typical quantity of alcohol consumption
Time frame: 12 month
Quantity of alcohol consumption within past 12 months measured as number of standard drinks (an Australian standard drink contains 10g alcohol).
Frequency of binge drinking
Time frame: 12 month
Frequency of drinking more than 4 standard drinks in the past 12 months
Experience of alcohol related harms
Time frame: 12 months
17 item scale of alcohol related harms, adapted from the School Health and Alcohol Harm Reduction Project. Scores range from 0 to 85, with higher scores indicating greater experience of harms.
Symptoms of alcohol abuse, dependence and alcohol use disorder
Time frame: 12 months
Symptoms of alcohol abuse, dependence, and alcohol use disorder measured via the Diagnostic Interview Schedule for Children 4th Edition. Items correspond to Diagnostic and Statistical Manual of Mental Disorders 4th Edition symptoms of alcohol abuse (4 symptoms), dependence (7 symptoms), and alcohol use disorder (11 symptoms).
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 May 2021.
- Results publication: PubMed 25684054Wadolowski M, Bruno R, Aiken A, Stone C, Najman J, Kypri K, Slade T, Hutchinson D, McBride N, Mattick RP. Sipping, drinking, and early adolescent alcohol consumption: a cautionary note. Alcohol Clin Exp Res. 2015 Feb;39(2):350-4. doi: 10.1111/acer.12613.
- Results publication: PubMed 26248081Wadolowski M, Hutchinson D, Bruno R, Aiken A, Clare P, Slade T, Najman J, Kypri K, McBride N, Mattick RP. Early Adolescent Alcohol Use: Are Sipping and Drinking Distinct? Alcohol Clin Exp Res. 2015 Sep;39(9):1805-13. doi: 10.1111/acer.12826. Epub 2015 Aug 6.
- Results publication: PubMed 26921283Wadolowski M, Hutchinson D, Bruno R, Aiken A, Najman JM, Kypri K, Slade T, McBride N, Mattick RP. Parents Who Supply Sips of Alcohol in Early Adolescence: A Prospective Study of Risk Factors. Pediatrics. 2016 Mar;137(3):e20152611. doi: 10.1542/peds.2015-2611. Epub 2016 Feb 26.
- Results publication: PubMed 27702422Mattick RP, Wadolowski M, Aiken A, Clare PJ, Hutchinson D, Najman J, Slade T, Bruno R, McBride N, Degenhardt L, Kypri K. Parental supply of alcohol and alcohol consumption in adolescence: prospective cohort study. Psychol Med. 2017 Jan;47(2):267-278. doi: 10.1017/S0033291716002373. Epub 2016 Oct 5.
- Results publication: PubMed 25953785Aiken A, Wadolowski M, Bruno R, Najman J, Kypri K, Slade T, Hutchinson D, McBride N, Mattick RP. Cohort Profile: The Australian Parental Supply of Alcohol Longitudinal Study (APSALS). Int J Epidemiol. 2017 Apr 1;46(2):e6. doi: 10.1093/ije/dyv051.
- Results publication: PubMed 29160941Aiken A, Clare PJ, Wadolowski M, Hutchinson D, Najman JM, Slade T, Bruno R, McBride N, Kypri K, Mattick RP. Age of Alcohol Initiation and Progression to Binge Drinking in Adolescence: A Prospective Cohort Study. Alcohol Clin Exp Res. 2018 Jan;42(1):100-110. doi: 10.1111/acer.13525. Epub 2017 Nov 21.
- Results publication: PubMed 29396259Mattick RP, Clare PJ, Aiken A, Wadolowski M, Hutchinson D, Najman J, Slade T, Bruno R, McBride N, Kypri K, Vogl L, Degenhardt L. Association of parental supply of alcohol with adolescent drinking, alcohol-related harms, and alcohol use disorder symptoms: a prospective cohort study. Lancet Public Health. 2018 Feb;3(2):e64-e71. doi: 10.1016/S2468-2667(17)30240-2. Epub 2018 Feb 1.
- Results publication: PubMed 30035831Sharmin S, Kypri K, Wadolowski M, Bruno R, Khanam M, Aiken A, Hutchinson D, M Najman J, Slade T, McBride N, Attia J, P Mattick R. Parent characteristics associated with approval of their children drinking alcohol from ages 13 to 16 years: prospective cohort study. Aust N Z J Public Health. 2018 Aug;42(4):347-353. doi: 10.1111/1753-6405.12811. Epub 2018 Jul 23.
- Results publication: PubMed 30851106Sharmin S, Kypri K, Wadolowski M, Bruno R, Khanam M, Aiken A, Hutchinson D, Najman JM, Slade T, McBride N, Attia J, Palazzi K, Oldmeadow C, Mattick RP. Parent hazardous drinking and their children's alcohol use in early and mid-adolescence: prospective cohort study. Eur J Public Health. 2019 Aug 1;29(4):736-740. doi: 10.1093/eurpub/ckz029.
- Results publication: PubMed 31494442Clare PJ, Aiken A, Yuen WS, Peacock A, Boland V, Wadolowski M, Hutchinson D, Najman J, Slade T, Bruno R, McBride N, Degenhardt L, Kypri K, Mattick RP. Parental supply of alcohol as a predictor of adolescent alcohol consumption patterns: A prospective cohort. Drug Alcohol Depend. 2019 Nov 1;204:107529. doi: 10.1016/j.drugalcdep.2019.06.031. Epub 2019 Aug 29.
- Results publication: PubMed 32034841Clare PJ, Dobbins T, Bruno R, Peacock A, Boland V, Yuen WS, Aiken A, Degenhardt L, Kypri K, Slade T, Hutchinson D, Najman JM, McBride N, Horwood J, McCambridge J, Mattick RP. The overall effect of parental supply of alcohol across adolescence on alcohol-related harms in early adulthood-a prospective cohort study. Addiction. 2020 Oct;115(10):1833-1843. doi: 10.1111/add.15005. Epub 2020 Mar 6.
- Results publication: PubMed 32141130Boland VC, Clare PJ, Yuen WS, Peacock A, Aiken A, Wadolowski M, Hutchinson D, Najman J, Slade T, Bruno R, McBride N, Degenhardt L, Kypri K, Mattick RP. The association between parental supply of alcohol and supply from other sources to young people: a prospective cohort. Addiction. 2020 Nov;115(11):2140-2147. doi: 10.1111/add.15033. Epub 2020 Mar 24.
- NATIONAL DRUG AND ALCOHOL RESEARCH CENTRE, UNSW, WEBSITELink provided by the sponsor.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
RICHARD P MATTICK, PhD principal investigator
NATIONAL DRUG AND ALCOHOL RESEARCH CENTRE, UNSW AUSTRALIA
AMY PEACOCK, PhD principal investigator
NATIONAL DRUG AND ALCOHOL RESEARCH CENTRE, UNSW AUSTRALIA
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Alcohol Abuse, run by The University of New South Wales at 1 site in Australia.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 6 May 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Australia. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Frequency of alcohol consumption (time frame: 12 month). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02280551, which also lists 18 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 May 2021.