Globally, one person dies every six seconds as a result of tobacco use. This makes tobacco use the cause of every one out of 10 deaths in adults and the single largest and leading cause of preventable death in the world. The objective of this study was to determine the prevalence of smoking among staff of Universiti Putra Malaysia. For the purpose of this study an analytical cross sectional study design was used and a standardized, pre-tested, while a validated well-structured questionnaire was used for data collection. The prevalence of smoking was found to be 10.0% (26.5% among males and 0.5% among females). In addition, significant associations were found between smoking and gender, religion, marital status, highest educational level, occupation, and family income (p < 0.05). In particular, gender and educational level were significant predictors of smoking. In conclusion, the prevalence of smoking among university staff was shown to be considerably lower than that stated for the national level. However, the University could aim at achieving zero prevalence in the years to come.
Dietary pattern analysis has emerged as important instruments to identify modifiable dietary risk factors for non-communicable diseases. The aim of this study was to determine the major dietary patterns among adolescents in Petaling District, Selangor and their associations with socio-demographic characteristics and obesity. An analytic cross- sectional study design was conducted in selected secondary schools in Petaling District. Sampling with probability proportionate to size was used and five schools were selected. Self-administered semi-quantitative food frequency questionnaire was used for data collection. Weight was measured with a digital bathroom scale (TANITA model) and height was measured using SECA body meter. Principal component factor analysis using varimax orthogonal transformation was used to identify the dietary patterns. Chi square was used to test for associations of dietary patterns with socio-demographic characteristics and obesity. Three major dietary patterns were identified: firstly, fruits and vegetables; secondly, sugar and fatand finally, meat and chicken which explained for 12.7%, 11.6% and 10.7% variation in food intake, respectively. There were significant associations between ethnicity, religion, family income, educational level of parents and the dietary patterns. However, there was no significant association between obesity and the dietary patterns. It may be more effective to describe a healthy diet using results of dietary pattern analysis in public health intervention, rather than describing single food items or nutrients. It is recommended that nutrition education programmes should be implemented in schools so as to prevent the development of obesity in the non-obese.
Introduction: There is an increasing trend in smoking among rural adolescents compared to urban adolescents in Malaysia. This study was to determine the relationship between religious personality and smoking among form two students from the rural schools in Malacca. Methods: This was an unmatched case-control study conducted from May 2010 to August 2010 among form two school children from rural area in Malacca. There were 484 cases, and 444 controls selected using randomized cluster sampling. The dependent variable was smoking, and the independent factors were religious personality. Validated and reliability-tested questionnaires were used for data collection. Results: The mean age (year) at which smoking was first tried among the cases was 11.39 + 2.107. There were eleven out of twenty three significant differences between religious personality statements in the cases and control group. Those were: reciting the Quran/Holy book/Scriptures even when busy, making efforts to deepen the understanding of the religion, trying to understand the teachings of the religion in the Holy book/Quran, inviting others to perform solat/prayer/religious service, making sure all the family members are following the teachings according to the religion, referring to the learned people when feeling uncertain about the rulings/teachings of the religion, performing work duties enthusiastically because of the religion/God, making efforts to remember death and afterlife often, making efforts to internalize the ethical conduct of the religion in daily life, setting aside money every year for religious purposes and looking for opportunities to give charity. Conclusion: Religious personality is an important factor which may influence adolescents volved in smoking.
Smoking among rural adolescents in Malaysia is on the rise with a significant difference seen between urban and rural youths. Therefore, this study was carried out to determine a predictive model of smoking among the rural-school adolescents population in Malacca, Malaysia. An unmatched case-control study was conducted in 2010 involving 484 cases and 444 controls of Form Two students in Malacca, Malaysia, using cluster sampling. Smoking was the dependent factor of this study while the independent factors were individual, family, school and environment. Data were obtained through a self-administered questionnaire. The response rate of the study was 100% whereas the smoking prevalence was 20.9%. Binary logistic regression was used to determine the smoking predictive model. Strong predictors of smoking behaviour were: influenced by artistes who smoke (Adjusted OR=8.67, 95% CI 5.53-13.58); the male gender (Adjusted OR=6.7, 95% CI 4.14-10.83); Muslim (Adjusted OR=4.46, 95% CI 2.36-8.44); and the belief that smoking is not dangerous when the teacher is seen smoking as well (Adjusted OR=3.95, 95% CI 2.19-7.10). Other predictors were: being offered cigarettes by friends (Adjusted OR=2.81, 95% CI 1.79-4.42); the belief that smoking will relax the mind (Adjusted OR=2.45, 95% CI 1.33-4.51); having friends who smoke (Adjusted OR=2.32, 95% CI 1.29-4.81); forced by friends to smoke (Adjusted OR=2.17, 95% CI 1.15-4.12); have heard of the national No-Smoking Campaign (Adjusted OR=1.89, 95% CI 1.06-3.37); have problems with the school management (Adjusted OR=1.75, 95% CI 1.07-2.88); parental consent to watch sexual activities, drug use or violence on television or at the cinema (Adjusted OR=1.73, 95% CI 1.06-2.83); and have lunch in school (Adjusted OR=1.58, 95% CI 1.04-2.41). This paper ends with the recognition of the need for intervention in dismantling the predictors that can lead to the development of smoking among Malaysian adolescents in rural schools. of different pathological entities.
Kajian sero»prevalens dijalankan untuk menentukan prevalens kes Hepatitis A dan ciri-ciri demografinya di Kampung Pangsoon, Kampung Padang dan Kampung Lubuk Kelubi, di Mukim Hulu Langat, pada 15 dan 16 Mac 2003. Sebanyak 1643 sampel telah diperiksa dan didapati 995 kes (60.6%) telah terdeclah tehadap jangkitan Hepatitis A iaitu sebanyak 327 kes di Kampung Pangsoon, 400 kes, Kampung Padang dan 268 kes di Kampung Lubuk Kelubi. Majoriti kes adalah perempuan 545 kes (54 .7%), etnik Melayu 752 kes (75 .6%) , berusia kurang daripada 40 tahun (65%) dengan min umurnya 25 .4 tahun ( SP 1 9) dan tahap pendidikan di peringkat sekolah rendah. Kes di kalangan Orang Asli pula sebanyak 231 kes (23 .2%) . Lebih kurartg 40.3% kes telah bekerja, dengan pendapatan kurang daripada RM1000 sebulan. Majoriti kes mempunyai tandas sempurna 92Z( 95.4% ), sistem air limbah 846( 91 .2%), bekalan air seharrtat 930(96.4%) dan sistem lubang sampah 426( 44.6%) . Terdapat perbezaan yang bererti (p
Obesity is a well-established risk factor for coronary heart disease, ischemic stroke, type 2 diabetes, cancers of the breast, colon, prostate and other organs. Objectives: To determine the prevalence of obesity and associated factors among university staffs. Methods: A cross sectional study was carried out among university staffs of University Putra Malaysia using a self-administered validated pre-tested questionnaire. Weight was measured using a digital bathroom scale (TANITA Model HD 319) and height was measured using a SECA Body Meter Model 206. Body mass index (BMI) was calculated as weight in kilograms divided by the square of height in meters (kg/m2). A p value of