IDEAS home Printed from https://ideas.repec.org/p/osf/thesis/c4wz5.html
   My bibliography  Save this paper

Exploring the Long-Term Health Consequences of ADHD using a Multivariable Mendelian Randomization Network Approach

Author

Listed:
  • de Boer, Nina Sofie

Abstract

Attention-Deficit/Hyperactivity Disorder (ADHD) has been associated with adulthood chronic physical illnesses such as coronary artery disease (CAD) and chronic obstructive pulmonary disease (COPD). However, the potential causes and mediators which underlie this relationship – such as alcohol use, smoking and educational attainment (EA) –, have not yet been studied simultaneously. This study aimed to investigate the relationship between ADHD, CAD, COPD and these potential causes and mediators by construing a direct causal network using genetic information in a multivariable Mendelian randomization (MR) design. After examining how the individual traits were associated to each other by estimating the genetic (partial) correlations, the total and direct causal effects of the traits on each other were examined using univariable and multivariable MR. The analyses demonstrated evidence for the following direct causal pathway: lower EA increases risk of ADHD diagnosis, causing an increased risk of smoking initiation, causing increased COPD risk. No significant causal relationship between ADHD and CAD could be identified. Future studies should address the reliability and validity of the demonstrated relationships.

Suggested Citation

  • de Boer, Nina Sofie, 2020. "Exploring the Long-Term Health Consequences of ADHD using a Multivariable Mendelian Randomization Network Approach," Thesis Commons c4wz5, Center for Open Science.
  • Handle: RePEc:osf:thesis:c4wz5
    DOI: 10.31219/osf.io/c4wz5
    as

    Download full text from publisher

    File URL: https://osf.io/download/5f0c6504c91a2000d5b16ff9/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/c4wz5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Hyunseung Kang & Anru Zhang & T. Tony Cai & Dylan S. Small, 2016. "Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 132-144, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Georgia Mangion & Melanie Simmonds-Buckley & Stephen Kellett & Peter Taylor & Amy Degnan & Charlotte Humphrey & Kate Freshwater & Marisa Poggioli & Cristina Fiorani, 2022. "Modelling Identity Disturbance: A Network Analysis of the Personality Structure Questionnaire (PSQ)," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    2. Xiao Yang & Nilam Ram & Scott D. Gest & David M. Lydon-Staley & David E. Conroy & Aaron L. Pincus & Peter C. M. Molenaar, 2018. "Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach," Complexity, Hindawi, vol. 2018, pages 1-14, November.
    3. Hans (J.L.W.) van Kippersluis & Niels (C.A.) Rietveld, 2017. "Beyond Plausibly Exogenous," Tinbergen Institute Discussion Papers 17-096/V, Tinbergen Institute.
    4. Xiaoran Liang & Eleanor Sanderson & Frank Windmeijer, 2022. "Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator," Papers 2208.05278, arXiv.org.
    5. Frank Windmeijer & Helmut Farbmacher & Neil Davies & George Davey Smith, 2019. "On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(527), pages 1339-1350, July.
    6. Michael J. Brusco & Douglas Steinley & Ashley L. Watts, 2022. "Disentangling relationships in symptom networks using matrix permutation methods," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 133-155, March.
    7. Denny Borsboom, 2022. "Possible Futures for Network Psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 253-265, March.
    8. Jayawickreme, Nuwan & Mootoo, Candace & Fountain, Christine & Rasmussen, Andrew & Jayawickreme, Eranda & Bertuccio, Rebecca F., 2017. "Post-conflict struggles as networks of problems: A network analysis of trauma, daily stressors and psychological distress among Sri Lankan war survivors," Social Science & Medicine, Elsevier, vol. 190(C), pages 119-132.
    9. Zhou, Jianhua & Zhang, Lulu & Gong, Xue, 2023. "Longitudinal network relations between symptoms of problematic internet game use and internalizing and externalizing problems among Chinese early adolescents," Social Science & Medicine, Elsevier, vol. 333(C).
    10. Mihail Halachev & Viktoria-Eleni Gountouna & Alison Meynert & Gannie Tzoneva & Alan R. Shuldiner & Colin A. Semple & James F. Wilson, 2024. "Regionally enriched rare deleterious exonic variants in the UK and Ireland," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    11. Hyunseung Kang, 2023. "Discussion on “Instrumented difference‐in‐differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy & Dylan S. Small," Biometrics, The International Biometric Society, vol. 79(2), pages 592-596, June.
    12. Yi-Lung Chen & Hsing-Ying Ho & Ray C. Hsiao & Wei-Hsin Lu & Cheng-Fang Yen, 2020. "Correlations between Quality of Life, School Bullying, and Suicide in Adolescents with Attention-Deficit Hyperactivity Disorder," IJERPH, MDPI, vol. 17(9), pages 1-12, May.
    13. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    14. Knyspel, Jacob & Plomin, Robert, 2024. "Comparing factor and network models of cognitive abilities using twin data," Intelligence, Elsevier, vol. 104(C).
    15. Nicolas Apfel & Helmut Farbmacher & Rebecca Groh & Martin Huber & Henrika Langen, 2022. "Detecting Grouped Local Average Treatment Effects and Selecting True Instruments," Papers 2207.04481, arXiv.org, revised Oct 2023.
    16. Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
    17. Sacha Epskamp, 2020. "Psychometric network models from time-series and panel data," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 206-231, March.
    18. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
    19. Don Watson & Manfred Krug & Claus-Christian Carbon, 2022. "The relationship between citations and the linguistic traits of specific academic discourse communities identified by using social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1755-1781, April.
    20. Matt Crum & Nikhil Ram-Mohan & Michelle M Meyer, 2019. "Regulatory context drives conservation of glycine riboswitch aptamers," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-24, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:thesis:c4wz5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://thesiscommons.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.