Search Results (1 to 5 of 5 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 4 Journal of Medical Internet Research
- 1 JMIR Mental Health
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 JMIR Formative Research
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)

To measure attitudes toward HPV vaccination, we used 9 items from a study by Kim and Niederdeppe [24] and modified them to assess parents’ attitudes toward the HPV vaccine on the 7-point semantic differential scale, including measures of bad-good, harmful-beneficial, useless-useful, and unsafe-safe (see Multimedia Appendix 1 for the full list of survey items).
To assess the vaccination status of their children against HPV, we first asked, “Do you have any sons (or any daughters)?”
J Med Internet Res 2022;24(11):e37559
Download Citation: END BibTex RIS

Momentary Self-regulation: Scale Development and Preliminary Validation
JMIR Ment Health 2022;9(5):e35273
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section

Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data
For example, Kim and colleagues [57] used various Facebook Group features for a 6-week smoking cessation and reduction intervention. Their findings support a successful rate of smoking reduction predicted by user engagement (eg, the number of comments posted) and the amount of social support received (eg, the number of “likes” participants received). These mechanisms were facilitated within their Facebook Group intervention that was designed to assist regular smokers to quit cigarette smoking.
J Med Internet Res 2017;19(10):e353
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section