ArticleGeriatrics (Basel, Switzerland)2017
Cancer-Related Information Seeking and Scanning Behaviors among Older Chinese Adults: Examining the Roles of Fatalistic Beliefs and Fear.
Article in Geriatrics (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 17 citations in OpenAlex.
- Exploring online health information seeking and sharing among older adults: a mini-review about acceptance, potentials, and barriers.Frontiers in digital health · 2024Review
- Using the Multidimensional Health Locus of Control Scale Form C to Investigate Health Beliefs About Bladder Cancer Prevention and Treatment Among Male Patients: Cross-Sectional Study.JMIR formative research · 2023Article
- The Relationship Between Learning Needs and Fatalism Tendency in Women Who Have a Relative with Breast Cancer.Journal of religion and health · 2022Article
- Online Health Information Seeking Behaviors Among Older Adults: Systematic Scoping Review.Journal of medical Internet research · 2022Article
- Designing Effective eHealth Interventions for Underserved Groups: Five Lessons From a Decade of eHealth Intervention Design and Deployment.Journal of medical Internet research · 2022Article
- Breast Cancer Information Behaviours and Needs among Singapore Women: A Qualitative Study.Asian Pacific journal of cancer prevention : APJCP · 2021Article
- Media Exposure, Cancer Beliefs, and Cancer-Related Information-Seeking or Avoidance Behavior Patterns in China.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective communication in health information plays an important role in health promotion and cancer prevention. Cancer-related information acquisition can happen via active and purposeful seeking, but may also happen less purposely via the routine use of media and interactions with other people (called scanning). We examined seeking and scanning behaviors regarding cancer prevention in older Chinese adults, identified commonly used sources of information of such behaviors, and examined their associations with fatalistic beliefs and cancer fear. A convenience sample of 224 community-dwelling adults aged ≥60 were recruited between May and July in 2013 in Hong Kong. Results suggested that cancer information scanning (79.5%) was more common than information seeking (30.4%) among our participants. Health professional was the most popular source for both scanning (78.7%) and seeking (58.8%) behaviors regarding cancer information. Fatalistic beliefs was significantly and negatively associated with seeking behaviors (OR = 0.50) but not scanning behaviors, and cancer fear showed no relationship with either behavior. This study shows that the cancer information seeking and scanning behaviors were still suboptimal in this age group and adds to the knowledge regarding the associations between fatalistic beliefs and fear with cancer information seeking and scanning behaviors among older Chinese adults.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.