Use of a smartphone application to screen for bipolar spectrum disorder in a community sample

Woo, Young Sup; Bahk, Won‐Myong; Hong, Jungseok; Yoon, Bo-Hyun; Hwang, Tae-Yeon; Kim, Moon-Doo; Jon, Duk–In

doi:10.1177/1460458215589601

Cited by 8 publications

(6 citation statements)

References 43 publications

(54 reference statements)

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“…They tend to seek this social network when they are sad, worried/anxious and happy, primarily as a form of distraction in these emotional moments. These findings are supported by several other studies that demonstrate the influence of mood on how individuals use many forms of media, suggesting, for example, a relationship between depression and excessive text messaging, e-mailing, and chattering [11,[35][36][37][38].…”

Section: Discussionsupporting

confidence: 80%

“…Studies in various areas of health research have shown that traditional epidemiologic risk factors can be collected with equal or even better reliability in Web-based questionnaires compared with traditional approaches [35]. A Korean study used MDQ on a smartphone application to screen individuals with BD and showed similar results compared to traditional paperbased questionnaire [36].…”

Section: Instrumentmentioning

confidence: 99%

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Is There Any Difference between Bipolar and Non-bipolar Individuals in the Use of Facebook?

Nascimento¹,

Costa²,

Meneses³

2016

Bipolar Disord

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Objective: To access how individuals with and without bipolar disorder differ in the use of Facebook, using the Mood Disorder Questionnaire (MDQ) as a screening instrument for Bipolar Disorder (BD). The bipolar spectrum group will be analyzed in another paper. Method: One questionnaire containing 54 questions about social and demographic variables, aspects of Facebook usage and the MDQ was applied. The sample consisted of 672 Facebook users. Participants were classified into three groups: 1-individuals with BD (n=73); 2-individuals without BD (n=402); 3-bipolar spectrum (subjects whose scores were not enough to fulfill the complete criteria for BD) (n=197). Data analysis was performed using the chi-square test (χ²) among the three groups. When this result was statistically significant, pairwise comparisons were performed using ANOVA (with Sheffé correction) tests. Bonferroni test was used to reduce type I error of multiple comparisons. This paper present differences between individuals with without BD. Results: Individuals with BD presented higher percentage than individuals without BD in the following aspects related to the use of Facebook: a) the amount of friends (more than 1,000 friends: 1=20.5%; 2=10.0%); b) the number of people excluded (excluded more than 30 friends: 1=24.7%; 2=14.4%) or blocked from their contacts (blocked more than 30: 1=5.5%; 2=1.7%); c) increased privacy exposure online (excessive exposure on the internet: 1=6.8%; 2=3.2%); d) problems in private life (1=52.1%; 2=19.4%); e) influences of emotional status on online behavior (1=65.8%; 2=41.5%); f) use when worried/anxious (1=49.3%; 2=29,4%). Conclusions: Individuals with BD are more sensitive, excluding and blocking more frequently and use the internet more often when they are more emotional.

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Section: Discussionsupporting

confidence: 80%

Section: Instrumentmentioning

confidence: 99%

Is There Any Difference between Bipolar and Non-bipolar Individuals in the Use of Facebook?

Nascimento¹,

Costa²,

Meneses³

2016

Bipolar Disord

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“…Current research on apps for screening and monitoring mental health has shown feasibility across diverse ranges of mental health conditions, including depression [ 3 ], bipolar disorder [ 7 , 8 ], anxiety disorders [ 9 , 10 ], and substance abuse disorders [ 2 , 5 , 6 - 11 ]. Furthermore, recent studies suggest that mobile phone ownership is very common among mental health patients and they have a strong interest in using mobile phones to monitor their mental health [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

“…The studied app also reached various groups of people who were not previously diagnosed with depression yet had high depressive symptoms, and the app was able to reach a group of participants at risk of suicide [ 3 ]. In another study in South Korea, 27,159 participants were screened for bipolar spectrum disorders within a few months [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Does a Mobile Phone Depression-Screening App Motivate Mobile Phone Users With High Depressive Symptoms to Seek a Health Care Professional’s Help?

BinDhim¹,

Alanazi²,

Aljadhey³

et al. 2016

J Med Internet Res

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BackgroundThe objective of disease screening is to encourage high-risk subjects to seek health care diagnosis and treatment. Mobile phone apps can effectively screen mental health conditions, including depression. However, it is not known how effective such screening methods are in motivating users to discuss the obtained results of such apps with health care professionals. Does a mobile phone depression-screening app motivate users with high depressive symptoms to seek health care professional advice? This study aimed to address this question.MethodThis was a single-cohort, prospective, observational study of a free mobile phone depression app developed in English and released on Apple’s App Store. Apple App Store users (aged 18 or above) in 5 countries, that is, Australia, Canada, New Zealand (NZ), the United Kingdom (UK), and the United States (US), were recruited directly via the app’s download page. The participants then completed the Patient Health Questionnaire (PHQ-9), and their depression screening score was displayed to them. If their score was 11 or above and they had never been diagnosed with depression before, they were advised to take their results to their health care professional. They were to follow up after 1 month.ResultsA group of 2538 participants from the 5 countries completed PHQ-9 depression screening with the app. Of them, 322 participants were found to have high depressive symptoms and had never been diagnosed with depression, and received advice to discuss their results with health care professionals. About 74% of those completed the follow-up; approximately 38% of these self-reported consulting their health care professionals about their depression score. Only positive attitude toward depression as a real disease was associated with increased follow-up response rate (odds ratio (OR) 3.2, CI 1.38-8.29).ConclusionsA mobile phone depression-screening app motivated some users to seek a depression diagnosis. However, further study should investigate how other app users use the screening results provided by such apps.

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“…BinDhim et al [4] reported a prevalence of 82.5% and 66.8% for a cutoff of 11 and 15, respectively, on the Patient Health Questionnaire administered via smartphone apps to 8,241 respondents. In a study that administered the Korean version of the Mood Disorder Questionnaire via smartphone apps, 8.2% of the 27,159 participants were classified as high-risk for bipolar spectrum disorder, and there were differences according to previous psychiatric treatment or age group [5]. Jang et al's [6] survey using the Suicide Behaviors Questionnaire-Revised with the Center for Epidemiologic Studies-Depression scale via smartphone apps found that 25.7% of the respondents were at high risk of depression; the suicide risk factors included depression, being female, belonging to the 30-40 age group, and past psychiatric history.…”

Section: Use In Evaluationmentioning

confidence: 99%

Literature Review of the Usefulness of Smartphone for the Evaluation and Treatment of Mental Disorders

Woo¹,

Lee²,

Bahk³

2020

Mood Emot

Self Cite

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The drastic increase in mental illnesses is a global problem. Prompt improvement of symptoms through early intervention, analysis of drug efficacy, and evaluation of treatment compliance are key strategies to address this issue. However, the traditional diagnostic and therapeutic methods for mental illnesses entail assessments based on interviews or questionnaires, which require a lot of time and money. The widespread use of smartphones and their applications in recent years has made it easier to assess mental illnesses and access to treatment. However, the reliability and validity of use of smartphone applications as an assessment tool for mental illnesses has been questioned since these applications are largely based on the existing questionnaire assessment methods. To overcome these problems, use of biosensor-based smartphone applications for the diagnosis and assessment of mental illnesses is being studied. This study will introduce the current status of this approach and discuss the future prospects.

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Use of a smartphone application to screen for bipolar spectrum disorder in a community sample

Cited by 8 publications

References 43 publications

Is There Any Difference between Bipolar and Non-bipolar Individuals in the Use of Facebook?

Is There Any Difference between Bipolar and Non-bipolar Individuals in the Use of Facebook?

Does a Mobile Phone Depression-Screening App Motivate Mobile Phone Users With High Depressive Symptoms to Seek a Health Care Professional’s Help?

Literature Review of the Usefulness of Smartphone for the Evaluation and Treatment of Mental Disorders

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