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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="family-medicine" lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">JOHS</journal-id>
<journal-id journal-id-type="nlm-ta">Journ of Health Scien</journal-id>
<journal-title-group>
<journal-title>Journal of HealthCare Sciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Journ of Health Scien</abbrev-journal-title>
</journal-title-group>
<issn pub-type="ppub">2231-2196</issn>
<issn pub-type="opub">0975-5241</issn>
<publisher>
<publisher-name>Radiance Research Academy</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">452</article-id>
<article-id pub-id-type="doi">http://dx.doi.org/10.52533/JOHS.2025.51112</article-id>
<article-id pub-id-type="doi-url"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Family Medicine</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Digital Tools for Early Identification and Course Modification in Generalized Anxiety Disorder
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Almughamsi</surname>
<given-names>Reyouf Abdulsalam</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hassan</surname>
<given-names>Maram Hussam</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alsaeed</surname>
<given-names>Abdullah Mohammed</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mattar</surname>
<given-names>Zahra Zaki Al</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alhejji</surname>
<given-names>Manar Abaas</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alasiri</surname>
<given-names>Yazeed Abdullah</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ablis</surname>
<given-names>Bader Fouad</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alhamdan</surname>
<given-names>Raed Ahmad</given-names>
</name>
</contrib>
</contrib-group>
<pub-date pub-type="ppub">
<day>13</day>
<month>11</month>
<year>2025</year>
</pub-date>
<volume>5</volume>
<issue>11</issue>
<fpage>630</fpage>
<lpage>637</lpage>
<permissions>
<copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement>
<copyright-year>2009</copyright-year>
<license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p>
</license>
</permissions>
<abstract>
<p>Generalized anxiety disorder (GAD) is a mental condition with persistent and excessive feelings of worry and fear, leading to significant distress and impairment of daily life and functioning. It is one of the leading causes of mental health disability, with a 12-month prevalence of 1.8% globally. Diagnosis of GAD is usually made through the Generalized Anxiety Disorder 7?item (GAD?7) and 2?item (GAD?2) scales, and symptoms must be persistent for at least 6 months for a confirmed diagnosis of GAD. Management involves medication, mainly antidepressants, in addition to psychotherapy, which is often cognitive behavioral therapy (CBT). However, there are several limitations to accurate diagnosis and treatment of GAD, due to the presence of comorbidities, and the inaccessibility of psychotherapy to many individuals. Passive data collection, behavioral analysis over social media platforms, and machine learning can be implemented for the development of digital biomarkers for GAD and the accurate prediction of the disorder. Digital mental health interventions, such as the internet, virtual reality (VR), and smartphones, can be used to provide CBT and meditation training to individuals with GAD, leading to early and better access to mental health care and tailored management of the disorder. In this narrative review, we aim to investigate current evidence regarding the use of digital tools for early identification and course modification in GAD.
</p>
</abstract>
<kwd-group>
<kwd>Generalized anxiety disorder</kwd>
<kwd> passive data collection</kwd>
<kwd> machine learning</kwd>
<kwd> digital mental health interventions</kwd>
</kwd-group>
</article-meta>
</front>
</article>