Seasonality in Seeking Mental Health Information on Google
Seasonality in Seeking Mental Health Information on Google
复制标题
DOI：
10.1016/j.amepre.2013.01.012
复制
发表时间：
2013-05-01
影响因子：
5.5
通讯作者：
Ford, Daniel E.
中科院分区：
文献类型：
--
作者：
Ayers, John W.;Althouse, Benjamin M.;Ford, Daniel E.
背景资料：人口心理健康监测是一项重要的挑战，但受到资源限制、数据收集滞后时间长和污名化的限制。一个有前途的方法来弥合类似的差距在其他地方一直是使用被动生成的数字data.Purpose：本文评估的可行性聚合互联网搜索查询的实时监测的几个心理健康问题，特别是在寻找心理健康information.Methods的季节性模式：所有的谷歌心理健康查询进行了监测，在美国和澳大利亚从2006年至2010年。此外，查询被细分为包括ADHD（注意缺陷多动障碍）、焦虑、双相情感障碍、抑郁、厌食或贪食（进食障碍）、OCD（强迫症）、精神分裂症和自杀在内的术语。采用小波相位分析方法分离趋势中的季节成分，并基于该模型对2012年冬季和夏季的平均搜索量进行比较。所有的心理健康调查都遵循季节性模式，冬季高峰和夏季低谷占14%。美国的体积差异为11%（95% CI= 11%，16%），澳大利亚为11%（95% CI= 7%，15%）。这些模式在所有特定的疾病或问题亚类中也很明显。例如，季节性差异从7%焦虑（95% CI= 5%，10%）（其次是强迫症、躁郁症、抑郁症、自杀、多动症、精神分裂症）至37%（95% CI= 31%，44%）。查询季节性的几个非临床动机（如媒体趋势或学术兴趣）进行了探讨和拒绝。结论：在谷歌上搜索所有主要精神疾病和/或或者问题遵循与季节性情感障碍相似的季节性模式。这是首次公布的关于所有主要精神疾病信息寻求的季节性模式的数据，值得注意的是，使用传统的监测方法，这些疾病可能不会被发现。(Am J Prev Med 2013：44（5）：520-525）（C）2013由Elsevier Inc.出版。美国预防医学杂志（American Journal of Preventive Medicine）
Background: Population mental health surveillance is an important challenge limited by resource constraints, long time lags in data collection, and stigma. One promising approach to bridge similar gaps elsewhere has been the use of passively generated digital data.Purpose: This article assesses the viability of aggregate Internet search queries for real-time monitoring of several mental health problems, specifically in regard to seasonal patterns of seeking out mental health information.Methods: All Google mental health queries were monitored in the U.S. and Australia from 2006 to 2010. Additionally, queries were subdivided among those including the terms ADHD (attention deficit-hyperactivity disorder); anxiety; bipolar; depression; anorexia or bulimia (eating disorders); OCD (obsessive-compulsive disorder); schizophrenia; and suicide. A wavelet phase analysis was used to isolate seasonal components in the trends, and based on this model, the mean search volume in winter was compared with that in summer, as performed in 2012.Results: All mental health queries followed seasonal patterns with winter peaks and summer troughs amounting to a 14% (95% CI=11%, 16%) difference in volume for the U.S. and 11% (95% CI=7%, 15%) for Australia. These patterns also were evident for all specific subcategories of illness or problem. For instance, seasonal differences ranged from 7% (95% CI=5%, 10%) for anxiety (followed by OCD, bipolar, depression, suicide, ADHD, schizophrenia) to 37% (95% CI=31%, 44%) for eating disorder queries in the U.S. Several nonclinical motivators for query seasonality (such as media trends or academic interest) were explored and rejected.Conclusions: Information seeking on Google across all major mental illnesses and/or problems followed seasonal patterns similar to those found for seasonal affective disorder. These are the first data published on patterns of seasonality in information seeking encompassing all the major mental illnesses, notable also because they likely would have gone undetected using traditional surveillance. (Am J Prev Med 2013:44(5):520-525) (C) 2013 Published by Elsevier Inc. on behalf of American Journal of Preventive Medicine