ArticleBMC oral health2024
Factors associated with oral health service utilization among young people in southern China.
Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Professional identity and engagement in oral health promotion activities among oral health ambassadors in China: a national cross-sectional survey.Frontiers in public health · 2026Article
- Factors influencing intentional non-utilization of healthcare: a study using the Andersen model.Frontiers in public health · 2025Article
- Oral Health Education in Patients with Diabetes: A Systematic Review.Healthcare (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesTo identify the patterns and influencing factors of oral health service utilization among college students, and further to provide scientific evidence for policy making on oral health education and behavioral interventions for the college population.
methodsThe study population was college students in Southern China. Totally 678 students participated in the survey. A self-designed questionnaire based on Anderson's model (predisposing factors, enabling factors, need factors) was used to survey college students. Descriptive statistics, χ
resultsThe utilization rate of oral health service in the past 12 months was 30.2%. The primary type of oral health service was treatment (59.6%), and only 12.8% were for prevention. There were 39% of the participants having oral health diseases, of which dental caries (25.7%) and oral bleeding (22.2%) were the main problems. The results from logistic regression analysis revealed that students with better beliefs (OR = 1.84, 95% CI:=1.02-3.43), frequent consumption of sugary drinks (OR = 2.90, 95% CI:=1.90-4.47), teeth brushing frequency > = 2 times per day (OR = 2.09, 95% CI = 1.24-3.61), frequent floss utilization (OR = 2.63, 95% CI = 1.21-5.76), dental caries (OR = 2.07, 95% CI = 1.35-3.17) used oral health services higher, while those lived in rural areas (OR:0.52, 95% CI = 0.34-0.80), and had only a fair concern (OR = 0.48, 95% CI = 0.31-0.74) or no concern (OR = 0.26, 95% CI = 0.08-0.67) on oral health utilized oral health services lower.
conclusionsChinese college students demonstrate some knowledge and attitudes towards oral health. However, they tend to neglect oral hygiene and have limited understanding of their own oral issues. Furthermore, the utilization of oral services, such as treatment, remains remarkably low, despite the availability of long-term and favorable health insurance policies. The utilization of oral health services among college students is influenced by various factors, including residing in rural areas, consuming sugary beverages on a daily basis, brushing teeth at least twice a day, and practicing flossing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.