ABSTRACT
Introduction: Oral diseases are the most common diseases in the world, and among them, tooth decay is the most common problem. The aim of this study was to determine the effective factors on oral health-promoting behaviors among elementary school students of Baft based on BASNEF Model in 2015
Methods: This cross-sectional descriptive-analytical study was conducted on 200 elementary school students who were selected using multistage random sampling method. Data were collected using a researcher-made questionnaire including 62 questions consisted of two parts: demographic information and constructs of BASNEF model [attitude, subjective norms, behavioral intention, enabling factors, and behaviors]. Data were analyzed using SPSS 16
Results: Score of oral health-promoting behaviors in 74% of the students was moderate and in 20% of the students was good. Statistically significant relationship was observed between oral health-promoting behaviors of the students and class grades [P=0.004], mother's education [P=0.004], father's education [P=0.034], and father's occupation [P=0.007]. Among the constructs of BASNEF model, enabling factors [beta =0.511] and then behavioral intentions [beta =0.426] were the strongest predicting factors of oral health behavior
Conclusion: According to the obtained results, enabling factors were the most effective constructs of oral health-promoting behaviors; therefore, oral health promoters are recommended to focus on this issue
ABSTRACT
Introduction: Osteoporosis is the most common metabolic bone disease which is nowadays known as a public health problem. Physical activity to maintain healthy bones is an important factor in preventing osteoporosis. The aim of this study was to determine a model for predicting factors influencing physical activity among women for the prevention of osteoporosis according to the Precede Model in Kerman, Iran
Method: This cross-sectional analytical descriptive study was performed on 120 women referred to health centers of Kerman city during 2014. They were selected randomly through multi- stages sampling method. Data were collected using the International Physical Activity Questionnaire [IPAQ] and a self-administrated questionnaire according to constructs of the PRECEDE Model [Predisposing Reinforcing, and Enabling Factors] and analyzed by descriptive statistics [measures of central tendency, dispersion, frequency and percent] and analysis statistics [logistic regression, Pearson correlation] using SPSS software version 18
Results: The results showed that the mean age of the participants were 32.44 +/- 6.97 years. 29.2% of women had intense, 5.35% moderate, and 7.66% mild physical activity. The results also indicated that enabling factors was the most predictive factors of physical activity both in raw [P=0.023, OR=1/122] and adjusted models [P=0.041, OR=1/137]
Conclusion: As enabling factors were the most important predictive factor for physical activity, it is recommended that health promotion interventions be planned according to these factors to improve physical activity and prevent osteoporosis among women