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Ho MH, Lee JJ, Yen HY. Associations between older adults' social media use behaviors and psychosocial well-being. Aging Clin Exp Res 2023; 35:2247-2255. [PMID: 37410359 DOI: 10.1007/s40520-023-02486-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 06/25/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Research examining associations between social media use behaviors and psychosocial well-being among older adults are limited. AIMS To explore associations between older adults' social media (social networking services and instant messaging applications) use behaviors and psychosocial well-being. METHODS This was a secondary data analysis. All data were retrieved from the Taiwan Communication Survey database, an annual survey that examines trends in Taiwanese residents' communication behaviors and social media use. The original investigation was conducted in Taiwan from September to December 2019. Data from 647 older adults aged over 60 years were extracted for the analyses. Social media use behaviors (users/non-users and time spent using), positive psychosocial outcomes (life satisfaction, self-determination, subjective well-being, and happiness), negative psychosocial outcomes (loneliness, depression, and anxiety), and demographic variables were included. RESULTS Social media users had significantly higher levels of subjective well-being and lower levels of depression, anxiety, and loneliness compared with non-users. Time spent on social networking services was significantly and positively correlated with negative psychosocial outcomes (β = 0.103, p = 0.044, f2 = 0.011), and it was significantly and inversely correlated with positive psychosocial outcomes (β = - 0.063, p = 0.049, f2 = 0.004). Time spent using an instant messaging application was significantly positively associated with positive psychosocial outcomes (β = 0.068, p = 0.031, f2 = 0.005). The proposed path model had an acceptable model fit. DISCUSSION Study results indicated that older adults' social media use behaviors were associated with their psychosocial well-being. CONCLUSIONS Older adults are recommended to use social media for appropriate time periods as an important way to promote social engagement for their psychosocial well-being.
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Affiliation(s)
- Mu-Hsing Ho
- School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, 5/F, Academic Building, 3 Sassoon Road, Pokfulam, Hong Kong, Hong Kong
| | - Jung Jae Lee
- School of Nursing, LKS Faculty of Medicine, The University of Hong Kong, 5/F, Academic Building, 3 Sassoon Road, Pokfulam, Hong Kong, Hong Kong
| | - Hsin-Yen Yen
- School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, 250 Wu-Hsing Street, Taipei, 11031, Taiwan.
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Nomura S, Yoneoka D, Shi S, Tanoue Y, Kawashima T, Eguchi A, Matsuura K, Makiyama K, Ejima K, Taniguchi T, Sakamoto H, Kunishima H, Gilmour S, Nishiura H, Miyata H. An assessment of self-reported COVID-19 related symptoms of 227,898 users of a social networking service in Japan: Has the regional risk changed after the declaration of the state of emergency? Lancet Reg Health West Pac 2020; 1:100011. [PMID: 34173594 PMCID: PMC7453215 DOI: 10.1016/j.lanwpc.2020.100011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/10/2020] [Accepted: 07/19/2020] [Indexed: 01/10/2023]
Abstract
Background In the absence of widespread testing, symptomatic monitoring efforts may allow for understanding the epidemiological situation of the spread of coronavirus disease 2019 (COVID-19) in Japan. We obtained data from a social networking service (SNS) messaging application that monitors self-reported COVID-19 related symptoms in real time in Fukuoka Prefecture, Japan. We aimed at not only understanding the epidemiological situation of COVID-19 in the prefecture, but also highlighting the usefulness of symptomatic monitoring approaches that rely on self-reporting using SNS during a pandemic, and informing the assessment of Japan's emergency declaration over COVID-19. Methods We analysed symptoms data (fever over 37.5° and a strong feeling of weariness or shortness of breath), reported voluntarily via SNS chatbot by 227,898 residents of Fukuoka Prefecture during March 27 to May 3, 2020, including April 7, when a state of emergency was declared. We estimated the spatial correlation coefficient between the number of the self-reported cases of COVID-19 related symptoms and the number of PCR confirmed COVID-19 cases in the period (obtained from the prefecture website); and estimated the empirical Bayes age- and sex-standardised incidence ratio (EBSIR) of the symptoms in the period, compared before and after the declaration. The number of symptom cases was weighted by age and sex to reflect the regional population distribution according to the 2015 national census. Findings Of the participants, 3.47% reported symptoms. There was a strong spatial correlation of 0.847 (p < 0.001) at municipality level between the weighted number of self-reported symptoms and the number of COVID-19 cases for both symptoms. The EBSIR at post-code level was not likely to change remarkably before and after the declaration of the emergency, but the gap in EBSIR between high-risk and low-risk areas appeared to have increased after the declaration. Interpretation While caution is necessary as the data was limited to SNS users, the self-reported COVID-19 related symptoms considered in the study had high epidemiological evaluation ability. In addition, though based on visual assessment, after the declaration of the emergency, regional containment of the infection risk might have strengthened to some extent. SNS, which can provide a high level of real-time, voluntary symptom data collection, can be used to assess the epidemiology of a pandemic, as well as to assist in policy assessments such as emergency declarations. Funding The present work was supported in part by a grant from the Ministry of Health, Labour and Welfare of Japan (H29-Gantaisaku-ippan-009).
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Affiliation(s)
- Shuhei Nomura
- Department of Health Policy and Management, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.,Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Daisuke Yoneoka
- Department of Health Policy and Management, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.,Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Graduate School of Public Health, St. Luke's International University, Tokyo, Japan
| | - Shoi Shi
- Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Laboratory for Synthetic Biology, RIKEN Center for Biosystems Dynamics Research, Osaka, Japan
| | - Yuta Tanoue
- Institute for Business and Finance, Waseda University, Tokyo, Japan
| | - Takayuki Kawashima
- Department of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan
| | - Akifumi Eguchi
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan
| | - Kentaro Matsuura
- Department of Management Science, Graduate School of Engineering, Tokyo University of Science, Tokyo, Japan.,HOXO-M Inc., Tokyo, Japan
| | - Koji Makiyama
- HOXO-M Inc., Tokyo, Japan.,Yahoo Japan Corporation, Tokyo, Japan
| | - Keisuke Ejima
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, USA
| | | | - Haruka Sakamoto
- Department of Health Policy and Management, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.,Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroyuki Kunishima
- Department of Infectious Diseases, St. Marianna University School of Medicine, Kanagawa, Japan
| | - Stuart Gilmour
- Graduate School of Public Health, St. Luke's International University, Tokyo, Japan
| | - Hiroshi Nishiura
- Graduate School of Medicine, Hokkaido University, Hokkaido, Japan
| | - Hiroaki Miyata
- Department of Health Policy and Management, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
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Kitazawa M, Yoshimura M, Hitokoto H, Sato-Fujimoto Y, Murata M, Negishi K, Mimura M, Tsubota K, Kishimoto T. Survey of the effects of internet usage on the happiness of Japanese university students. Health Qual Life Outcomes 2019; 17:151. [PMID: 31604455 PMCID: PMC6787969 DOI: 10.1186/s12955-019-1227-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 09/25/2019] [Indexed: 04/06/2023] Open
Abstract
Background Besides research on psychiatric diseases related to problematic Internet use (PIU), a growing number of studies focus on the impact of Internet on subjective well-being (SWB). However, in previous studies on the relationship between PIU and SWB, there is little data for Japanese people specifically, and there is a lack of consideration for differences in perception of happiness due to cultural differences. Therefore, we aimed to clarify how happiness is interdependent on PIU measures, with a focus on how the concept of happiness is interpreted among Japanese people, and specifically among Japanese university students. Methods A paper-based survey was conducted with 1258 Japanese university students. Respondents were asked to fill out self-report scales regarding their happiness using the Interdependent Happiness Scale (IHS). The relationship between IHS and Internet use (Japanese version of the Internet addiction test, JIAT), use of social networking services, as well as social function and sleep quality (Pittsburgh Sleep Quality Index, PSQI) were sought using multiple regression analyses. Results Based on multiple regression analyses, the following factors related positively to IHS: female gender and the number of Twitter followers. Conversely, the following factors related negatively to IHS: poor sleep, high- PIU, and the number of times the subject skipped a whole day of school. Conclusions It was shown that there was a significant negative correlation between Japanese youths’ happiness and PIU. Since epidemiological research on happiness that reflects the cultural background is still scarce, we believe future studies shall accumulate similar evidence in this regard.
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Affiliation(s)
- Momoko Kitazawa
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan
| | - Michitaka Yoshimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.,Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Hidefumi Hitokoto
- Department of Culture, Faculty of Humanities, Fukuoka University, Jonan, Fukuoka, Japan
| | - Yuka Sato-Fujimoto
- Faculty of Health Sciences, Gumma Paz University, Takasaki, Gumma, Japan
| | - Mayu Murata
- Department of Student Affairs, Mie University, Tsu, Mie, Japan
| | - Kazuno Negishi
- Department of Ophthalmology, Keio University School of Medicine, Shinjuku, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan
| | - Kazuo Tsubota
- Department of Ophthalmology, Keio University School of Medicine, Shinjuku, Tokyo, Japan
| | - Taishiro Kishimoto
- Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
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Tsutsui K, Takada H. A classroom SNS to promote reflective activity in programming learning for children. Res Pract Technol Enhanc Learn 2018; 13:2. [PMID: 30595733 PMCID: PMC6294275 DOI: 10.1186/s41039-018-0069-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 03/20/2018] [Indexed: 06/09/2023]
Abstract
In recent years, workshops involving programming on computers have been held in elementary education to promote creative thinking. In our experience of conducting programming workshops for children for over 10 years, we cannot have enough time to let them share and reflect on their creative activity, although reflection is one of the important factors for successful experience-based learning. In order to solve this problem, we have developed a classroom SNS (social networking service) system for children to upload a post and share their project. On the SNS site, they can upload three kinds of contents: action view, code view, and comments. We conducted an experiment to examine if children have performed the sharing and reflection activity with the SNS system during a programming workshop. The result shows that the SNS system would promote motivation for children to reflect on their project.
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Affiliation(s)
- Kumpei Tsutsui
- Faculty of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga, 525-8577 Japan
| | - Hideyuki Takada
- Faculty of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-Higashi, Kusatsu, Shiga, 525-8577 Japan
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Sueki H. The association of suicide-related Twitter use with suicidal behaviour: a cross-sectional study of young internet users in Japan. J Affect Disord 2015; 170:155-60. [PMID: 25240843 DOI: 10.1016/j.jad.2014.08.047] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2014] [Accepted: 08/12/2014] [Indexed: 11/24/2022]
Abstract
BACKGROUND Infodemiology studies for suicide prevention have become increasingly common in recent years. However, the association between Twitter use and suicide has only been partially clarified. This study examined the association between suicide-related tweets and suicidal behaviour to identify suicidal young people on the Internet. METHODS A cross-sectional survey was conducted using Internet survey panels (n=220,848) comprising users in their 20s, through a major Japanese Internet survey company. Final analyses included the data of 1000 participants. RESULTS Of the participants (n=1000) used in the final analysis, 61.3% were women and the mean age was 24.9 years (SD=2.9, range=20-29). Logistic regression analyses showed that tweeting "want to die" and "want to commit suicide" was significantly related to suicidal ideation and behaviour. Lifetime suicide attempts, the most powerful predictor of future suicide out of all suicidal behaviours, were more strongly associated with tweeting "want to commit suicide" than tweeting "want to die". Having a Twitter account and tweeting daily were not associated with suicidal behaviour. LIMITATIONS An online panel survey has some inherent biases, such as coverage bias. Respondents were already registered as members of a particular Internet survey company in Japan, which limits the possibility of generalization. CONCLUSIONS Twitter logs may be used to identify suicidal young Internet users. This study provides a basis for the early identification of individuals at high risk for suicide.
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Abstract
Social networks are useful in the study of relationships between individuals or entire populations, and the ties through which any given social unit connects. Those represent the convergence of the various social contacts of that unit. Consequently, the term "social networking service" (SNS) became extremely familiar. Similar to familiar SNSs, International Digestive Endoscopy Network (IDEN) 2014 was based on an international network composed of an impressive 2-day scientific program dealing with a variety of topics for gastrointestinal (GI) diseases, which connects physicians and researchers from all over the world. The scientific programs included live endoscopic demonstrations and provided cutting-edge information and practice tips as well as the latest advances concerning upper GI, lower GI, and pancreatobiliary endoscopy. IDEN 2014 featured American Society for Gastrointestinal Endoscopy-Korean Society of Gastrointestinal Endoscopy (ASGE-KSGE)-joint sessions prepared through cooperation between ASGE and KSGE. Furthermore, IDEN 2014 provided a special program for young scientists called the 'Asian Young Endoscopist Award Forum' to foster networks, with many young endoscopists from Asian countries taking an active interest and participation.
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Affiliation(s)
- Eun Young Kim
- Department of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea
| | - Kwang An Kwon
- Department of Gastroenterology, Gachon University Gil Medical Center, Gachon University of Medicine and Science, Incheon, Korea
| | - Il Ju Choi
- Center for Gastric Cancer, National Cancer Center, Goyang, Korea
| | - Ji Kon Ryu
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Ki Baik Hahm
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
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