↓ Skip to main content

Nineteen and Up study (19Up): understanding pathways to mental health disorders in young Australian twins

Overview of attention for article published in BMJ Open, March 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
18 X users
facebook
1 Facebook page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
361 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nineteen and Up study (19Up): understanding pathways to mental health disorders in young Australian twins
Published in
BMJ Open, March 2018
DOI 10.1136/bmjopen-2017-018959
Pubmed ID
Authors

Baptiste Couvy-Duchesne, Victoria O’Callaghan, Richard Parker, Natalie Mills, Katherine M Kirk, Jan Scott, Anna Vinkhuyzen, Daniel F Hermens, Penelope A Lind, Tracey A Davenport, Jane M Burns, Melissa Connell, Brendan P Zietsch, James Scott, Margaret J Wright, Sarah E Medland, John McGrath, Nicholas G Martin, Ian B Hickie, Nathan A Gillespie

Abstract

The Nineteen and Up study (19Up) assessed a range of mental health and behavioural problems and associated risk factors in a genetically informative Australian cohort of young adult twins and their non-twin siblings. As such, 19Up enables detailed investigation of genetic and environmental pathways to mental illness and substance misuse within the Brisbane Longitudinal Twin Sample (BLTS). Twins and their non-twin siblings from Queensland, Australia; mostly from European ancestry. Data were collected between 2009 and 2016 on 2773 participants (age range 18-38, 57.8% female, 372 complete monozygotic pairs, 493 dizygotic pairs, 640 non-twin siblings, 403 singleton twins). A structured clinical assessment (Composite International Diagnostic Interview) was used to collect lifetime prevalence of diagnostic statistical manual (4th edition) (DSM-IV) diagnoses of major depressive disorder, (hypo)mania, social anxiety, cannabis use disorder, alcohol use disorder, panic disorder and psychotic symptoms. Here, we further describe the comorbidities and ages of onset for these mental disorders. Notably, two-thirds of the sample reported one or more lifetime mental disorder.In addition, the 19Up study assessed general health, drug use, work activity, education level, personality, migraine/headaches, suicidal thoughts, attention deficit hyperactivity disorder (ADHD) symptomatology, sleep-wake patterns, romantic preferences, friendships, familial environment, stress, anorexia and bulimia as well as baldness, acne, asthma, endometriosis, joint flexibility and internet use.The overlap with previous waves of the BLTS means that 84% of the 19Up participants are genotyped, 36% imaged using multimodal MRI and most have been assessed for psychological symptoms at up to four time points. Furthermore, IQ is available for 57%, parental report of ADHD symptomatology for 100% and electroencephalography for 30%. The 19Up study complements a phenotypically rich, longitudinal collection of environmental and psychological risk factors. Future publications will explore hypotheses related to disease onset and development across the waves of the cohort. A follow-up study at 25+years is ongoing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 361 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 361 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 45 12%
Student > Master 43 12%
Student > Ph. D. Student 35 10%
Researcher 34 9%
Student > Postgraduate 20 6%
Other 67 19%
Unknown 117 32%
Readers by discipline Count As %
Psychology 67 19%
Medicine and Dentistry 61 17%
Nursing and Health Professions 27 7%
Neuroscience 14 4%
Social Sciences 12 3%
Other 46 13%
Unknown 134 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2018.
All research outputs
#3,016,154
of 25,382,440 outputs
Outputs from BMJ Open
#5,821
of 25,593 outputs
Outputs of similar age
#63,643
of 365,093 outputs
Outputs of similar age from BMJ Open
#211
of 683 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 365,093 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 683 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.