Connected Dads, Healthy Teens: A Pilot Study of an Online Father-Teen Program to Support Teens' Sexual Health.
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| Title: | Connected Dads, Healthy Teens: A Pilot Study of an Online Father-Teen Program to Support Teens' Sexual Health. |
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| Authors: | Grossman, Jennifer M. (AUTHOR), Schaefer, Hillary S. (AUTHOR), Sullivan, Michelle (AUTHOR), Richer, Amanda M. (AUTHOR), Goodwin, Caroline (AUTHOR), Hernandez, Belinda F. (AUTHOR), Markham, Christine M. (AUTHOR) |
| Source: | Journal of Sex Research. Jul2026, Vol. 63 Issue 6, p971-989. 19p. |
| Subjects: | Parent-child communication, Parenting, Sex education, Online education, Adolescent health, Pilot projects, Self-efficacy, Unsafe sex |
| Abstract: | The purpose of this study was to evaluate the acceptability, feasibility, and preliminary efficacy of Connected Dads, Healthy Teens, a 4-week online father-teen program designed to promote healthy communication and decision-making about sex and relationships. A pilot sample of 53 fathers and 50 of their high-school aged teens participated in this program and took pre- and post-test surveys. Participants reported high levels of program feasibility and acceptability. Preliminary efficacy assessment from fathers and teens showed statistically significant increases in sexual health knowledge, and frequency and comfort with father-teen communication. Fathers showed increased self-efficacy for father-teen communication and teens showed increased self-efficacy for communication with a partner. Our findings suggest that the Connected Dads, Healthy Teens program may help fathers and teens to learn sexual health information and communicate about sex and relationships, which has potential to reduce teens' sexual risk behaviors and bolster their sexual health. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Sex Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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