IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v392y2013i4p889-901.html
   My bibliography  Save this article

An exploratory statistical approach to depression pattern identification

Author

Listed:
  • Feng, Qing Yi
  • Griffiths, Frances
  • Parsons, Nick
  • Gunn, Jane

Abstract

Depression is a complex phenomenon thought to be due to the interaction of biological, psychological and social factors. Currently depression assessment uses self-reported depressive symptoms but this is limited in the degree to which it can characterise the different expressions of depression emerging from the complex causal pathways that are thought to underlie depression. In this study, we aimed to represent the different patterns of depression with pattern values unique to each individual, where each value combines all the available information about an individual’s depression. We considered the depressed individual as a subsystem of an open complex system, proposed Generalized Information Entropy (GIE) to represent the general characteristics of information entropy of the system, and then implemented Maximum Entropy Estimates to derive equations for depression patterns. We also introduced a numerical simulation method to process the depression related data obtained by the Diamond Cohort Study which has been underway in Australia since 2005 involving 789 people. Unlike traditional assessment, we obtained a unique value for each depressed individual which gives an overall assessment of the depression pattern. Our work provides a novel way to visualise and quantitatively measure the depression pattern of the depressed individual which could be used for pattern categorisation. This may have potential for tailoring health interventions to depressed individuals to maximize health benefit.

Suggested Citation

  • Feng, Qing Yi & Griffiths, Frances & Parsons, Nick & Gunn, Jane, 2013. "An exploratory statistical approach to depression pattern identification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 889-901.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:4:p:889-901
    DOI: 10.1016/j.physa.2012.10.025
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437112009211
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2012.10.025?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Feng, Qing Yi & Chai, Li He, 2008. "A new statistical dynamic analysis on vegetation patterns in land ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3583-3593.
    2. Pilgrim, David, 2007. "The survival of psychiatric diagnosis," Social Science & Medicine, Elsevier, vol. 65(3), pages 536-547, August.
    3. Chen, Li Ming & Chai, Li He, 2006. "A theoretical analysis on self-organized formation of microbial biofilms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(2), pages 793-807.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhao, Jingjing & Chai, Lihe, 2015. "A novel approach for urbanization level evaluation based on information entropy principle: A case of Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 114-125.

    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. Du, Huibin & Xia, Qiongqiong & Ma, Xuan & Chai, Lihe, 2014. "A new statistical dynamic analysis of ecological niches for China’s financial centres," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 476-486.
    2. Hannigan, Ben, 2013. "Connections and consequences in complex systems: Insights from a case study of the emergence and local impact of crisis resolution and home treatment services," Social Science & Medicine, Elsevier, vol. 93(C), pages 212-219.
    3. Ridge, Damien & Kokanovic, Renata & Broom, Alex & Kirkpatrick, Susan & Anderson, Claire & Tanner, Claire, 2015. "“My dirty little habit”: Patient constructions of antidepressant use and the ‘crisis’ of legitimacy," Social Science & Medicine, Elsevier, vol. 146(C), pages 53-61.
    4. Butler, Clare, 2019. "Working the 'wise’ in speech and language therapy: Evidence-based practice, biopolitics and ‘pastoral labour’," Social Science & Medicine, Elsevier, vol. 230(C), pages 1-8.
    5. Feng, Qing Yi & Chai, Li He, 2008. "A new statistical dynamic analysis on vegetation patterns in land ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3583-3593.
    6. Fan, Ze-Meng & Li, Jing & Yue, Tian-Xiang, 2013. "Land-cover changes of biome transition zones in Loess Plateau of China," Ecological Modelling, Elsevier, vol. 252(C), pages 129-140.
    7. Zhao, Jingjing & Wang, Mengyang, 2018. "A novel assessment of urbanization quality and its applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 141-154.
    8. Chaofeng Liu & Jingyu Su & Xiangjun Zuo & Wei Wang, 2015. "Assessment of regional vulnerability to seismic hazards in the Beijing–Tianjin–Hebei metropolitan area, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 831-848, January.
    9. Zhao, Jingjing & Chai, Lihe, 2015. "A novel approach for urbanization level evaluation based on information entropy principle: A case of Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 114-125.
    10. Lynch, Johanna M. & Askew, Deborah A. & Mitchell, Geoffrey K. & Hegarty, Kelsey L., 2012. "Beyond symptoms: Defining primary care mental health clinical assessment priorities, content and process," Social Science & Medicine, Elsevier, vol. 74(2), pages 143-149.
    11. Wu, Jingjing & Wu, Xinming & Li, Pengfei & Li, Nan & Mao, Xiaomei & Chai, Lihe, 2017. "An information entropy model on clinical assessment of patients based on the holographic field of meridian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 219-232.

    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:eee:phsmap:v:392:y:2013:i:4:p:889-901. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.