Religion as a Social Determinant of Public Health

Religion as a Social Determinant of Public Health

Category : News/Events

Live Webinar  • June 10, 2019  • 12-1:30pm ET

Training Description
This webinar presents evidence that religion should be considered among the social determinants of health, based on epidemiological research. Plausible mechanisms at the individual level are the lower smoking rates and greater social ties of those with religious participation. At the community level, faith-based organizations engage in partnerships with public health agencies as a source of social capital to promote health and prevent disease, particularly in hard-to-reach populations.

Learning Objectives
By the end of this training, participants will be able to:

  • Support the case that religion should be considered among the social determinants of health for the purposes of both research and practice.
  • Identify three pathways through which religious participation has a demonstrated impact on health outcomes.
  • Describe the characteristics that bridge cultural, mistrust, low- income, and geographical barriers.

To register for the webinar click HERE or on the image above.


1 Comment

Isaac

October 17, 2020 at 2:15 pm

Is a recording of this webinar available?

Log out of this account

Leave a Reply

Upcoming Events

  • GCDTR Presents: Dr. Linelle Blais November 18, 2024 at 12:00 pm – 1:00 pm Guest Lecture; tinyurl.com… Online Location: https://tinyurl.com/LinelleBlaisEvent Type: Guest LectureSeries: GCDTR SeminarsSpeaker: Dr. Linelle BlaisContact Name: Wendy GillContact Email: wggill@emory.eduRoom Location: RRR_R809Link: https://tinyurl.com/LinelleBlaisGCDTR Seminar Presents: The Diabetes MATCH Initiative: Mobilizing Access Through Capacity Building & Health Equity
  • Biostatistics and Bioinformatics Seminar November 21, 2024 at 12:00 pm – 1:00 pm Seminar Series Event Type: Seminar SeriesSpeaker: George Tseng, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR PLAZA - Rollins AuditoriumTitle: Multi-faceted and outcome-guided cluster analysis for disease subtyping of omics data

Follow Us on Social Media: