Prevalence of dental caries and relation with nutritional status among school-age children in resource limited setting of southern Ethiopia

Globally, dental caries appears a major public health problem and a widespread non -communicable disease. It is more prevalent among children school-age children (6-12 years), However, there are few studies that correlate dental caries with nutritional status. Thus, this study aims to determine the...

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Bibliographic Details
Published in:BMC oral health 2023-02, Vol.23 (1), p.84-84, Article 84
Main Authors: Bassa, Selamawit, Workie, Shimelash Bitew, Kassa, Yibeltal, Tegbaru, Dawit Worku
Format: Article
Language:English
Subjects:
Age
Body weight
Care and treatment
Caregivers
Child
Children
Children & youth
Coffee
Complications and side effects
Confidence intervals
Cross-Sectional Studies
Data collection
Dental caries
Dental Caries - epidemiology
Dental hygiene
Developing countries
Disease
Distribution
Elementary school students
Enamel
Ethiopia
Ethiopia - epidemiology
Food
Food and nutrition
Food consumption
Health aspects
Households
Humans
Hygiene
LDCs
Malnutrition
Nutrition
Nutritional status
Obesity
Oral hygiene
Overweight
Population
Prevalence
Prevention
Public health
Quality of life
Questionnaires
Resource-Limited Settings
Risk factors
Sample size
School-age children
Statistical analysis
Supervisors
Teeth
Underweight
Variables
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Summary:Globally, dental caries appears a major public health problem and a widespread non -communicable disease. It is more prevalent among children school-age children (6-12 years), However, there are few studies that correlate dental caries with nutritional status. Thus, this study aims to determine the relation of dental caries with nutritional status among school-age children at resource limited setting of southern Ethiopia. A community-based cross sectional study was employed on randomly selected 761 school-age children of Areka town. Data were collected by face-to-face interviewer-administered questionnaire and clinical assessment of dental caries. After that, the collected data were entered into Epi data 3.2.1 and exported to SPSS 20 for further analysis. On the other hand, bivariate and multiple logistic regression analyses were used to identify the association of dependent and independent variables. p Value 
ISSN:1472-6831
1472-6831
DOI:10.1186/s12903-023-02786-6