Related Experiment Video
Updated: Jun 10, 2025

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
Published on: February 23, 2024
Factors associated with scientific production conditions among dental students from the Peruvian capital: an analysis
Yanira Gutierrez-Quevedo1, Marysela Ladera-Castañeda1, Miriam Castro-Rojas1
1Postgraduate School, Universidad Nacional Federico Villarreal, Lima, Peru.
Background:
The purpose of scientific production is to synthesize and capture research for eventual publication. In Peru, scientific production at the undergraduate level is relatively limited. The purpose of this study was to identify the factors associated with scientific production conditions among dental students from the Peruvian capital.
Methods:
This cross-sectional and analytical study evaluated 338 dental students from the Peruvian capital using a questionnaire composed of 15 questions on conditions for scientific production. Pearson's chi-square test and Fisher's exact test were used for bivariate analysis. To evaluate the influential variables, the adjusted Poisson regression model with robust variance using the adjusted prevalence ratio (APR) was employed. The significance level was p < 0.05.
Results:
A total of 17.8% of the students carried out research studies, while 1.5% published scientific articles. Conditions for scientific production were considered unfavorable in 28.4% of the cases, while 50.6% were classified as somewhat favorable and 21% as favorable. Students who dedicated < 2 h and ≥ 2 h per week to research were 3.04 and 3.84 times more likely to have favourable conditions for scientific production, respectively, compared to those who had no time for it (APR = 3.04, 95% CI: 1.02-9.03 and APR = 3.84, 95% CI: 1.13-13.02; respectively).
Conclusion:
A minority of dental students reported favorable conditions for scientific production. On the other hand, students with more weekly time for research are more likely to have favourable conditions for scientific production compared to those with no time.
More Related Videos
09:10Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
Published on: August 5, 2021
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Related Concept Videos
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Factorial Design
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
Teeth
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as: