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How Iranian Students Communicate About Puberty Information: Results of a Network Analysis.

Leyla HalimiEshagh Dortaj RabariReza MajdZadehAli Akbar Haghdoost
Published in: Medical journal of the Islamic Republic of Iran (2022)
Background: To evaluate the structure of students' social networks (So. N) generally and in a specific network (Sp. N), in which students discuss delicate puberty concerns with their classmates, the present research examined the communication networks of students in Hamadan, Iran, a mid-sized city in Iran. Methods: In this cross-sectional study, the data were collected from a total of 350 students in 14 classes from 14 schools using a stratified sampling method. In each class, the communication networks of students were examined by asking direct questions about links among them. The students' centrality indices were computed using UCINET 6 software. Since the size of the classes was different, the centrality index was reported as a percentage, which was the number of reported links over the maximum number of possible ones. Results: The centrality index in So. Ns and Sp. Ns in boys was more than those in girls (55.4% vs 47.6% in So. N, and 33.4% vs 20.1% in Sp. N). The students' centrality indices in So. Ns and Sp. Ns were also positively correlated (r=0.58; p <0.001). In addition, the Sp. N was around 45% lower than So. N in both sexes. Conclusion: The communication styles among students in Sp. N appeared to be very different from those in So. N and the styles were related to demographic traits. As a result, it was determined that a thorough investigation of communication networks was essential for customizing health promotion initiatives for students.
Keyphrases
  • high school
  • network analysis
  • dengue virus
  • machine learning
  • magnetic resonance
  • artificial intelligence
  • big data
  • quality improvement
  • health information
  • contrast enhanced