Utilizing Big Data from Google Trends to Map Out Population Depression in the United States: Exploratory Infodemiology Study (Preprint)

2021 ◽  
Author(s):  
Alex Wang ◽  
Robert McCarron ◽  
Daniel Azzam ◽  
Annamarie Stehli ◽  
Glen Xiong ◽  
...  
Keyword(s):  
Mental Health ◽  
United States ◽  
Big Data ◽  
Data Storage ◽  
Geographic Location ◽  
Subsequent Development ◽  
The United States ◽  
Early Spring ◽  
Google Trends ◽  
Search Intent

BACKGROUND The epidemiology of mental health disorders has important theoretical and practical implications for healthcare service and planning. The recent increase in big data storage and subsequent development of analytical tools suggests that mining search databases may yield important trends on mental health, which can be used to replace or support existing population health studies. OBJECTIVE This study aimed to map out depression search intent in the United States based on internet mental health queries. METHODS Weekly data on mental health searches were extracted from Google Trends for an 11-year period (2010-2021) and separated by US state for the following terms: “feeling sad,” “depressed,” “depression,” “empty,” “insomnia,” “fatigue,” “guilty,” “feeling guilty,” and “suicide”. Multivariable regression models were created based on geographic and environmental factors and normalized to control terms “sports,” “news,” “google,” “youtube,” “facebook,” and “netflix”. Heat maps of population depression were generated based on search intent. RESULTS Depression search intent grew 67% from January 2010 to March 2021. Depression search intent showed significant seasonal patterns with peak intensity during winter (adjusted P < 0.001) and early spring months (adjusted P < 0.001), relative to summer months. Geographic location correlated to depression search intent with states in the Northeast (adjusted P = 0.01) having higher search intent than states in the South. CONCLUSIONS The trends extrapolated from Google Trends successfully correlate with known risk factors for depression, such as seasonality and increasing latitude. These findings suggest that Google Trends may be a valid novel epidemiological tool to map out depression prevalence in the United States.

Mental health services providers' distribution across counties in the United States.

1984 ◽  
Vol 39 (12) ◽  
pp. 1424-1434 ◽  
Author(s):  
David J. Knesper ◽  
John R. Wheeler ◽  
David J. Pagnucco
Keyword(s):  
Mental Health ◽  
United States ◽  
Mental Health Services ◽  
Health Services ◽  
The United States

Formulating another’s report of troubles in peer support

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Christopher Pudlinski
Keyword(s):  
Mental Health ◽  
United States ◽  
Community Mental Health ◽  
Conversation Analysis ◽  
Peer Support ◽  
Mental Health System ◽  
The United States ◽  
Telephone Support ◽  
Healthcare Settings ◽  
Professional Perspective

This study stems from an interest in peer support talk, an underexplored area of research, and in how supportive actions such as formulated summaries function in comparison to more professional healthcare settings. Using conversation analysis, this study explores 35 instances of formulations within 65 calls to four different ‘warm lines’, a term for peer-to-peer telephone support within the community mental health system in the United States. Formulations can be characterized across two related axes: client versus professional perspective, and directive versus nondirective. The findings show that formulations within peer support were overwhelmingly nondirective, in terms of meeting institutional agendas to let callers talk. However, formulations ranged from client-oriented ones that highlight or repeat caller reports to those which transform caller reports through integrating past caller experiences or implicit caller emotions. These tactics are found to have similarities to how formulations function in professional healthcare settings.

Mental health recovery and its correlates: Perspectives from 2 countries (Preprint)

2020 ◽  
Author(s):  
Huiting Xie
Keyword(s):  
Mental Health ◽  
United States ◽  
Self Efficacy ◽  
The United States ◽  
Mental Illnesses ◽  
Health Conditions ◽  
Mental Health Recovery ◽  
Mental Health Conditions ◽  
Serious Mental Illnesses ◽  
Promote Mental Health

BACKGROUND Many people are affected by mental health conditions, yet its prevalence in certain populations are not well documented. OBJECTIVE The aim of this study is to describe the attributes of people with mental health conditions in U.S and SG in terms of: perception of mental health recovery and its correlates such as strengths self-efficacy, resourcefulness and stigma experience. With the findings, not only could the knowledge base for mental health recovery in both countries be enhanced but interventions and policies relating to self-efficacy, resourcefulness and de-stigmatization for mental health recovery could be informed. METHODS A A cross-sectional, descriptive study with convenience sample of 200 community dwelling adults were selected, 100 pax from the United States (U.S) and 100 pax from Singapore (SG). Adults with serious mental illnesses without substance abuse impacting on their recovery were recruited. Participants completed self-administered questionaires measuring their mental health recovery, strengths self-efficacy, resourcefulness and stigma experience. RESULTS This study offered the unique opportunity to examine mental health recovery as well as its correlates such as strengths self-efficacy, resourcefulness and stigma experience from both the United States and Singapore. While the perception of mental health recovery and positive attributes like strengths self-efficacy and resourcefulness remained strong in participants with serious mental illnesses across both countries, people with serious mental illnesses in both countries still experienced negative perception like stigma. The findings would not only inform strategies to promote mental health recovery but also enhance the focus on correlates such as strengths self-efficacy and resourcefulness across both countries. CONCLUSIONS The findings would not only inform strategies to promote mental health recovery but also enhance the focus on correlates such as strengths self-efficacy and resourcefulness across both countries.

Sign in / Sign up

Export Citation Format

Share Document