Long-Term Effects of Internet-Based Cognitive Behavioral Therapy on Depression Prevention Among University Students: Randomized Controlled Factorial Trial

Autor: Yukako Nakagami, Teruhisa Uwatoko, Tomonari Shimamoto, Masatsugu Sakata, Rie Toyomoto, Kazufumi Yoshida, Yan Luo, Nao Shiraishi, Aran Tajika, Ethan Sahker, Masaru Horikoshi, Hisashi Noma, Taku Iwami, Toshi A Furukawa

Publikováno v: JMIR Mental Health, Vol 11, Pp e56691-e56691 (2024)

Abstract BackgroundInternet-based cognitive behavioral therapy (iCBT) shows promise in the prevention of depression. However, the specific iCBT components that contribute to its effectiveness remain unclear. ObjectiveWe aim to evaluate the effects

Externí odkaz: https://doaj.org/article/bc602736560c48f9989019aee356e243

Changes in the prevalence of mental health problems during the first year of the pandemic: a systematic review and dose-response meta-analysis

Autor: Toshi A Furukawa, Edoardo G Ostinelli, Andrea Cipriani, Pim Cuijpers, Lin Ma, Akira Onishi, Tianjing Li, Georgia Salanti, Vikram Patel, Christian Kieling, Sanae Kishimoto, Ronald C Kessler, Seena Fazel, Marialena Trivella, Akira Sato, Yikang Zhu, Raman Sharma, Matthias Egger, Simone N. Vigod, Yu-Kang Tu, Tou-Yuan Tsai, Yuan-Pang Wang, Irene Bighelli, Alessandro Rodolico, Stefan Leucht, Michael Ostacher, Ian White, Virginia Chiocchia, Ethan Sahker, Rie Toyomoto, Kazufumi Yoshida, Trevor Thompson, Dongfang Wang, Jing Tian, Katharine A Smith, Gonzalo Arrondo, Meenakshi Sharma, Silviya Ralovska, Andreas D Haas, Michael A Wewege, Bartosz Helfer, Erika Kalocsanyiova, Harrison Nelson, Gandy Dolores-Maldonado, Caroline Zangani, Kenji Omae, Shimeng Dong, Shino Kikuchi, Thomy Tonia, James S W Hong, Natalie Luise Peter, Letao Sun, Aurélie M Lasserre, Alexander Holloway, Leila Darwish, Andrea Zucchetti, Amin Sharifan, Ana Cristina Solis, Antonio Vita, Carmen Concerto, Chinonso Igwesi-Chidobe, Carlos Rios-Gonzalez, Anna Ceraso, Daniel Prates Baldez, Dicle Dilay Demir, Ying-Chun Lin, Elena Invernizzi, Gabriel Henrique Beraldi, Gamze Erzin, Giulia Ottaviano, Graciela J Balbin-Ramón, Chin-Yen Ho, Helio Elkis, Yun Chen Liu, Javier Ballesteros, Johanna Schneckenburger, Jessie Jingxia Lin, Abdulkadir Usman Sambo, Lena Feber, Mattia Marchetti, Mauro Italia, Mengchang Qin, Yi-Chih Lin, Nurul Husna Salahuddin, Rossella Virgillito, Ogulcan Ciray, Sergio A Covarrubias-Castillo, Yun Hsia, Shiue-Shiuan Tu, Vidya Giri Shankar

Publikováno v: BMJ Mental Health, Vol 27, Iss 1 (2024)

Aim To describe the pattern of the prevalence of mental health problems during the first year of the COVID-19 pandemic and examine the impact of containment measures on these trends.Methods We identified articles published until 30 August 2021 that r

Externí odkaz: https://doaj.org/article/7c865ac5b5544c68b6da64e797d48ddd

Understanding effect size: an international online survey among psychiatrists, psychologists, physicians from other medical specialities, dentists and other health professionals

Autor: Toshi A Furukawa, Stefan Leucht, Spyridon Siafis, Yuki Furukawa, Ferdinand Heimke, Bradley C. Johnston, Rolf R. Engel

Publikováno v: BMJ Mental Health, Vol 27, Iss 1 (2024)

Background and objective Various ways exist to display the effectiveness of medical treatment options. This study examined various psychiatric, medical and allied professionals’ understanding and perceived usefulness of eight effect size indices fo

Externí odkaz: https://doaj.org/article/2258863bca074659a431f8b5e70e9846

Correction: Electronic Health Record–Nested Reminders for Serum Lithium Level Monitoring in Patients With Mood Disorder: Randomized Controlled Trial

Autor: Tomotsugu Seki, Morio Aki, Toshi A Furukawa, Hirotsugu Kawashima, Tomotaka Miki, Yujin Sawaki, Takaaki Ando, Kentaro Katsuragi, Takahiko Kawashima, Senkei Ueno, Takashi Miyagi, Shun'ichi Noma, Shiro Tanaka, Koji Kawakami

Publikováno v: Journal of Medical Internet Research, Vol 26, p e55805 (2024)

Externí odkaz: https://doaj.org/article/c389f3ecf92845739031b6afab6f96d6

Tool to assess risk of bias in studies estimating the prevalence of mental health disorders (RoB-PrevMH)

Autor: Nicola Low, Toshi A Furukawa, Andrea Cipriani, Tianjing Li, Georgia Salanti, Stefan Leucht, Diana Buitrago-Garcia, Thomy Tonia, Natalie Luise Peter, Cristina Mesa-Vieira

Publikováno v: BMJ Mental Health, Vol 26, Iss 1 (2023)

Objective There is no standard tool for assessing risk of bias (RoB) in prevalence studies. For the purposes of a living systematic review during the COVID-19 pandemic, we developed a tool to evaluate RoB in studies measuring the prevalence of mental

Externí odkaz: https://doaj.org/article/527b0b4a93b14cf880da6e5b89888cf5