This paper is in the following e-collection/theme issue:

Information Retrieval (287) Innovations and Technology for Cancer Prevention and Screening (147) Information Seeking, Information Needs (465)

Published on in Vol 20, No 2 (2018): February

Perceived Threat and Internet Use Predict Intentions to Get Bowel Cancer Screening (Colonoscopy): Longitudinal Questionnaire Study

Perceived Threat and Internet Use Predict Intentions to Get Bowel Cancer Screening (Colonoscopy): Longitudinal Questionnaire Study

Perceived Threat and Internet Use Predict Intentions to Get Bowel Cancer Screening (Colonoscopy): Longitudinal Questionnaire Study

Authors of this article:

Daniela Becker1 Author Orcid Image ;   Johannes Grapendorf1 Author Orcid Image ;   Hannah Greving2 Author Orcid Image ;   Kai Sassenberg1, 3 Author Orcid Image
Article Authors Cited by (12) Tweetations (15) Metrics

Journals

  1. Greving H, Sassenberg K. Threatened individuals prefer positive information during Internet search: An experimental laboratory study. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2018;12(1) View
  2. Sassenberg K, Scholl A. Linking regulatory focus and threat–challenge: transitions between and outcomes of four motivational states. European Review of Social Psychology 2019;30(1):174 View
  3. Ai D, Pan H, Han R, Li X, Liu G, Xia L. Using Decision Tree Aggregation with Random Forest Model to Identify Gut Microbes Associated with Colorectal Cancer. Genes 2019;10(2):112 View
  4. Winter K, Zapf B, Hütter M, Tichy N, Sassenberg K. Selective exposure in action: Do visitors of product evaluation portals select reviews in a biased manner?. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2021;15(1) View
  5. Li H, Lin J, Xiao Y, Zheng W, Zhao L, Yang X, Zhong M, Liu H. Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data. Technology in Cancer Research & Treatment 2021;20 View
  6. Zhang Y, Xu P, Sun Q, Baral S, Xi L, Wang D. Factors influencing the e-health literacy in cancer patients: a systematic review. Journal of Cancer Survivorship 2023;17(2):425 View
  7. Fei‐Zhang D, Moazzam Z, Ejaz A, Cloyd J, Dillhoff M, Beane J, Bentrem D, Pawlik T. The impact of digital inequities on gastrointestinal cancer disparities in the United States. Journal of Surgical Oncology 2023;128(1):155 View
  8. Fei-Zhang D, Chelius D, Sheyn A, Rastatter J. Large-data contextualizations of social determinant associations in pediatric head and neck cancers. Current Opinion in Otolaryngology & Head & Neck Surgery 2023;31(6):424 View
  9. Fu M, Li A, Zhang F, Lin L, Chen C, Su Y, Ye Y, Han D, Chang J. Assessing eHealth Literacy and Identifying Factors Influencing Its Adoption Among Cancer Inpatients: A Cross-Sectional Study in Guangdong Population. Patient Preference and Adherence 2023;Volume 17:1477 View
  10. Fei-Zhang D, Edwards E, Asthana S, Chelius D, Sheyn A, Rastatter J. The Impact of Digital Inequities on Esophageal Cancer Disparities in the US. Cancers 2023;15(23):5522 View
  11. Wang H, Zhou Z, Li H, Xiang W, Lan Y, Dou X, Zhang X. Blood Biomarkers Panels for Screening of Colorectal Cancer and Adenoma on a Machine Learning-Assisted Detection Platform. Cancer Control 2023;30 View
  12. Wang X, Wuji S, Liu Y, Luo R, Qiu C. Study on the impact of recommendation algorithms on user perceived stress and health management behaviour in short video platforms. Information Processing & Management 2024;61(3):103674 View