Menezes Tamires Sá, Jucá Ana Maria, Jorge Olívia Santana, Lotto Matheus, Ayala Aguirre Patricia Estefania, Cruvinel Thiago
Department of Pediatric Dentistry, Orthodontics, and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil.
Odontología, Universidad de Especialidades Espíritu Santo (UEES), Samborondón, Ecuador.
Digit Health. 2024 Dec 12;10:20552076241299642. doi: 10.1177/20552076241299642. eCollection 2024 Jan-Dec.
This study aimed to identify predictive factors for engagement with dental caries-related posts on Instagram.
Using CrowdTangle, 10,000 English-language posts were retrieved based on total interactions. From these, 2063 posts were evaluated using predetermined inclusion criteria, and a final sample of 500 posts was selected. Two independent investigators classified the posts according to dichotomized criteria: author profile (regular or commercial users), sentiment (positive or neutral/negative), motivation (financial or nonfinancial), format (link or photo), aim of content (prevention or treatment), and facticity (information or misinformation). Predictive factors for total interaction and overperforming scores were determined using multiple logistic regression models.
Misinformation accounted for 44% of posts. Most posts were shared by regular users (67.8%), used a photo format (61%), and expressed a positive sentiment (73.8%). Prevention-related posts were significantly related to financial motivation, while treatment-related posts were linked to time of publication, neutral/negative sentiment, and photo format. Older posts were positively associated with misinformation (odds ratio (OR) = 1.45). Positive sentiment (OR = 1.71) and regular user profiles (OR = 1.93) were associated with higher total interactions. In contrast, business profiles (OR = 2.39) and posts with neutral/negative sentiment (OR = 1.79) were associated with overperforming scores.
Despite a significant amount of misinformation, only sentiment and author profiles were predictive factors for total interaction and overperforming scores in Instagram posts about dental caries.
本研究旨在确定Instagram上与龋齿相关帖子的参与度预测因素。
使用CrowdTangle，根据总互动量检索了10000条英文帖子。从中，根据预定的纳入标准对2063条帖子进行了评估，并最终选取了500条帖子作为样本。两名独立研究人员根据二分标准对帖子进行分类：作者简介（普通用户或商业用户）、情感倾向（积极或中性/消极）、动机（经济或非经济）、形式（链接或照片）、内容目的（预防或治疗）以及真实性（信息或错误信息）。使用多元逻辑回归模型确定总互动量和超表现得分的预测因素。
错误信息占帖子的44%。大多数帖子由普通用户分享（67.8%），采用照片形式（61%），并表达积极情感（73.8%）。与预防相关的帖子与经济动机显著相关，而与治疗相关的帖子与发布时间、中性/消极情感以及照片形式有关。较旧的帖子与错误信息呈正相关（优势比（OR）=1.45）。积极情感（OR=1.71）和普通用户简介（OR=1.93）与更高的总互动量相关。相比之下，则商业简介（OR=2.39）和情感倾向为中性/消极的帖子（OR=1.79）与超表现得分相关。
尽管存在大量错误信息，但在Instagram上关于龋齿的帖子中，只有情感倾向和作者简介是总互动量和超表现得分的预测因素。
