Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Mark Griffiths and Amir Pakpour.
Connection Strength

7.043
  1. Extended theory of planned behavior in explaining the intention to COVID-19 vaccination uptake among mainland Chinese university students: an online survey study. Hum Vaccin Immunother. 2021 Oct 03; 17(10):3413-3420.
    View in: PubMed
    Score: 0.238
  2. Fear of COVID-19 and Perceived COVID-19 Infectability Supplement Theory of Planned Behavior to Explain Iranians' Intention to Get COVID-19 Vaccinated. Vaccines (Basel). 2021 Jun 22; 9(7).
    View in: PubMed
    Score: 0.238
  3. Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students. Vaccine. 2021 07 22; 39(32):4510-4515.
    View in: PubMed
    Score: 0.238
  4. Sleep problems during COVID-19 pandemic and its' association to psychological distress: A systematic review and meta-analysis. EClinicalMedicine. 2021 Jun; 36:100916.
    View in: PubMed
    Score: 0.238
  5. Internet-Related Behaviors and Psychological Distress Among Schoolchildren During the COVID-19 School Hiatus. Cyberpsychol Behav Soc Netw. 2021 Oct; 24(10):654-663.
    View in: PubMed
    Score: 0.235
  6. Motivation to Have COVID-19 Vaccination Explained Using an Extended Protection Motivation Theory among University Students in China: The Role of Information Sources. Vaccines (Basel). 2021 Apr 13; 9(4).
    View in: PubMed
    Score: 0.235
  7. Measurement Invariance of the Drivers of COVID-19 Vaccination Acceptance Scale: Comparison between Taiwanese and Mainland Chinese-Speaking Populations. Vaccines (Basel). 2021 Mar 22; 9(3).
    View in: PubMed
    Score: 0.234
  8. Fear of COVID-19 Scale (FCV-19S) across countries: Measurement invariance issues. Nurs Open. 2021 07; 8(4):1892-1908.
    View in: PubMed
    Score: 0.234
  9. Corrigendum to "Depression, anxiety, and stress mediate the associations between internet gaming disorder, insomnia, and quality of life during the COVID-19 outbreak" [Addict. Behav. Rep. 12 (2020) 100307]. Addict Behav Rep. 2020 Dec; 12:100322.
    View in: PubMed
    Score: 0.229
  10. A population-based nationwide dataset concerning the COVID-19 pandemic and serious psychological consequences in Bangladesh. Data Brief. 2020 Dec; 33:106621.
    View in: PubMed
    Score: 0.229
  11. Depression, anxiety, and stress mediate the associations between internet gaming disorder, insomnia, and quality of life during the COVID-19 outbreak. Addict Behav Rep. 2020 Dec; 12:100307.
    View in: PubMed
    Score: 0.227
  12. The COVID-19 pandemic and serious psychological consequences in Bangladesh: A population-based nationwide study. J Affect Disord. 2021 01 15; 279:462-472.
    View in: PubMed
    Score: 0.227
  13. The mediating effect of the cyberchondria and anxiety sensitivity in the association between problematic internet use, metacognition beliefs, and fear of COVID-19 among Iranian online population. Heliyon. 2020 Oct; 6(10):e05135.
    View in: PubMed
    Score: 0.227
  14. Correction to: Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis. Int J Ment Health Addict. 2020 Sep 16; 1-3.
    View in: PubMed
    Score: 0.226
  15. Investigating mediated effects of fear of COVID-19 and COVID-19 misunderstanding in the association between problematic social media use, psychological distress, and insomnia. Internet Interv. 2020 Sep; 21:100345.
    View in: PubMed
    Score: 0.225
  16. Using an integrated social cognition model to predict COVID-19 preventive behaviours. Br J Health Psychol. 2020 11; 25(4):981-1005.
    View in: PubMed
    Score: 0.224
  17. Psychometric Testing of Three COVID-19-Related Scales Among People with Mental Illness. Int J Ment Health Addict. 2022; 20(1):324-336.
    View in: PubMed
    Score: 0.223
  18. Associations Between Fear of COVID-19, Mental Health, and Preventive Behaviours Across Pregnant Women and Husbands: An Actor-Partner Interdependence Modelling. Int J Ment Health Addict. 2022; 20(1):68-82.
    View in: PubMed
    Score: 0.222
  19. Assessing the fear of COVID-19 among different populations: A response to Ransing et al. (2020). Brain Behav Immun. 2020 10; 89:524-525.
    View in: PubMed
    Score: 0.221
  20. Assessing Psychological Response to the COVID-19: The Fear of COVID-19 Scale and the COVID Stress Scales. Int J Ment Health Addict. 2021; 19(6):2407-2410.
    View in: PubMed
    Score: 0.221
  21. Assessing the psychological response to the COVID-19: A response to Bitan et al. "Fear of COVID-19 scale: Psychometric characteristics, reliability and validity in the Israeli population". Psychiatry Res. 2020 08; 290:113127.
    View in: PubMed
    Score: 0.221
  22. The Fear of COVID-19 Scale: Development and Initial Validation. Int J Ment Health Addict. 2020 Mar 27; 1-9.
    View in: PubMed
    Score: 0.218
  23. Internet addiction and sleep problems: A systematic review and meta-analysis. Sleep Med Rev. 2019 10; 47:51-61.
    View in: PubMed
    Score: 0.208
  24. Time invariance of three ultra-brief internet-related instruments: Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item Internet Gaming Disorder Scale- Short Form (IGDS-SF9) (Study Part B). Addict Behav. 2020 02; 101:105960.
    View in: PubMed
    Score: 0.205
  25. Psychometric Evaluation of the Persian eHealth Literacy Scale (eHEALS) Among Elder Iranians With Heart Failure. Eval Health Prof. 2020 12; 43(4):222-229.
    View in: PubMed
    Score: 0.202
  26. Evaluating the Psychometric Properties of the 7-Item Persian Game Addiction Scale for Iranian Adolescents. Front Psychol. 2019; 10:149.
    View in: PubMed
    Score: 0.202
  27. Psychometric evaluation of the Persian Internet Disorder Scale among adolescents. J Behav Addict. 2018 Sep 01; 7(3):665-675.
    View in: PubMed
    Score: 0.196
  28. Psychometric evaluation of Persian Nomophobia Questionnaire: Differential item functioning and measurement invariance across gender. J Behav Addict. 2018 Mar 01; 7(1):100-108.
    View in: PubMed
    Score: 0.189
  29. Psychometric validation of the Persian Bergen Social Media Addiction Scale using classic test theory and Rasch models. J Behav Addict. 2017 Dec 01; 6(4):620-629.
    View in: PubMed
    Score: 0.185
  30. Psychometric validation of the Persian nine-item Internet Gaming Disorder Scale - Short Form: Does gender and hours spent online gaming affect the interpretations of item descriptions? J Behav Addict. 2017 Jun 01; 6(2):256-263.
    View in: PubMed
    Score: 0.180
  31. Fear of COVID-19 and workplace phobia among Pakistani doctors: A survey study. BMC Public Health. 2021 04 30; 21(1):833.
    View in: PubMed
    Score: 0.059
  32. Problematic internet-related behaviors mediate the associations between levels of internet engagement and distress among schoolchildren during COVID-19 lockdown: A longitudinal structural equation modeling study. J Behav Addict. 2021 Feb 10; 10(1):135-148.
    View in: PubMed
    Score: 0.058
  33. Factors related to preventive COVID-19 infection behaviors among people with mental illness. J Formos Med Assoc. 2020 Dec; 119(12):1772-1780.
    View in: PubMed
    Score: 0.056
  34. Internet-Related Behaviors and Psychological Distress Among Schoolchildren During COVID-19 School Suspension. J Am Acad Child Adolesc Psychiatry. 2020 10; 59(10):1099-1102.e1.
    View in: PubMed
    Score: 0.056
  35. Evaluation of the English Version of the Fear of COVID-19 Scale and Its Relationship with Behavior Change and Political Beliefs. Int J Ment Health Addict. 2020 Jun 15; 1-11.
    View in: PubMed
    Score: 0.055
  36. COVID-19-Related Suicides in Bangladesh Due to Lockdown and Economic Factors: Case Study Evidence from Media Reports. Int J Ment Health Addict. 2020 May 15; 1-6.
    View in: PubMed
    Score: 0.055
  37. Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis. Int J Ment Health Addict. 2020 May 11; 1-12.
    View in: PubMed
    Score: 0.055
  38. Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A). Addict Behav. 2020 02; 101:105969.
    View in: PubMed
    Score: 0.051
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.