MATERIALS AND METHODS: A cross-sectional study was conducted at a private university in Malaysia. A total of 188 undergraduate dental students were interviewed using a pre-tested and self-rated questionnaire. Data collected from participants were analysed using SPSS version 18.0. Chi-square test, Fisher's exact test and multiple logistic regression analyses were applied to study the relationship between explanatory variables and excessive Facebook use and excessive mobile texting.
RESULTS: The prevalence of excessive Facebook use and excessive mobile texting amongst undergraduate dental students was found to be 33.2% and 33.0%, respectively. According to a multivariate analysis, texting habits, such as the presence of daytime sleepiness after texting late at night (aOR = 2.682, 95% CI = 1.142-6.301) and the presence of anxious feelings if students failed to receive a timely response (aOR = 3.819, 95% CI = 1.580-9.230), were determined to be significant predictors of excessive mobile texting. Excessive Facebook use was found to be significantly related to three variables as follows: fewer numbers of close friends (aOR = 2.275, 95% CI = 1.057-4.898), the checking of updates on the Facebook walls of their friends (aOR = 2.582, 95% CI = 1.189-5.605) and the absence of active and vigorous feelings during Facebook use (aOR = 3.401, 95% CI = 1.233-9.434).
CONCLUSIONS: Approximately one-third of undergraduate dental students in this study experienced excessive Facebook use and/or excessive mobile texting. Health education and promotion should be instituted to create awareness, whilst students should be advised to practise self-control with respect to both mobile texting and Facebook usage.
METHODOLOGY: The test was conducted for two different road conditions, tarmac and dirt roads. HAV exposure was measured using a Brüel & Kjær Type 3649 vibration analyzer, which is capable of recording HAV exposures from steering wheels. The data was analyzed using I-kaz Vibro to determine the HAV values in relation to varying speeds of a truck and to determine the degree of data scattering for HAV data signals.
RESULTS: Based on the results obtained, HAV experienced by drivers can be determined using the daily vibration exposure A(8), I-kaz Vibro coefficient (Ƶ(v)(∞)), and the I-kaz Vibro display. The I-kaz Vibro displays also showed greater scatterings, indicating that the values of Ƶ(v)(∞) and A(8) were increasing. Prediction of HAV exposure was done using the developed regression model and graphical representations of Ƶ(v)(∞). The results of the regression model showed that Ƶ(v)(∞) increased when the vehicle speed and HAV exposure increased.
DISCUSSION: For model validation, predicted and measured noise exposures were compared, and high coefficient of correlation (R(2)) values were obtained, indicating that good agreement was obtained between them. By using the developed regression model, we can easily predict HAV exposure from steering wheels for HAV exposure monitoring.
METHODS: Recurrent abdominal pain was defined as at least three episodes of abdominal pain, severe enough to affect a child's activities over a period longer than 3 months. A health-care consulter was defined as a child who had been brought to see a doctor regarding recurrent abdominal pain at least once in the past year. Children aged between 9 and 15 years were randomly chosen from schools in the city of Petaling Jaya, given questionnaires to fill in and interviewed to determine whether they fulfilled the above criteria for having symptoms of recurrent abdominal pain and for being a consulter. Bivariate analysis and multiple logistic regression analysis were performed on the data obtained.
RESULTS: One hundred and forty-three (9.61%) children fulfilled the criteria for recurrent abdominal pain out of a total of 1488 schoolchildren interviewed. There were 65 (45.5%) consulters and 78 (54.5%) non-consulters. Among the consulters, the male to female ratio was 1:1.4, while among the non-consulters, the ratio was 1:1.1. On bivariate analysis, the Chinese had a significantly lower likelihood to consult a doctor (P = 0.02), while the other two races did not show any increase in consultation (Malays, P = 0.08; Indians, P = 0.21). Among those with severe pain, there was a significantly higher prevalence of consulters (P < 0.01). Furthermore, those whose sleep was interrupted by abdominal pain were more likely to consult (P < 0.01). Children who had consulted a doctor were more likely to be missing school because of abdominal pain (P < 0.01). Following multiple logistic regression analysis, ethnicity was no longer a significant predictor.
CONCLUSIONS: Approximately 45.5% of schoolchildren with recurrent abdominal pain in an urban setting were brought to see a doctor. Predictors of recent health-care consultation were school absence, pain severity and interruption of sleep caused by abdominal pain.