Dietary pattern analysis has emerged as important instruments to identify modifi able 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 fi ve 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 identifi ed: fi rstly, fruits and vegetables; secondly, sugar and fatand fi nally, meat and chicken which explained for 12.7%, 11.6% and 10.7% variation in food intake, respectively. There were signifi cant associations between ethnicity, religion, family income, educational level of parents and the dietary patterns. However, there was no signifi cant 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.
Diet, Western

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, signifi cant 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 signifi cant 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.

The objectives of this study were to determine the prevalence of the urban poor and its health related factors in Selangor. This cross-sectional study was conducted in the community of Selangor. Data was collected from January 2006 to June 2006. Three out of nine districts were selected to be involved in the study, which were Klang, Kuala Langat and Petaling. A Multistage Stratified Proportionate Systematic Random Sampling was used for this study. The sampling was carried out by the Statistics Department of Malaysia. The survey frame was based on the information gathered from the Population and Housing Census in year 2000. The respondents were interviewed by trained research assistants using a structured pre-tested standardized questionnaire prepared in Malay and English languages. A monthly income of RM706 and less was used to define urban poor based on the guidelines given by the Economy Planning Unit of Malaysia (2004). SPSS 16.0 version was used to analyze the data. Out of 2535 respondents interviewed in this study, 2491 respondents answered the questionnaire completely (response rate 98.3%). Out of 2491 respondents, 202 (8.1%) had a monthly income of RM706 and less. Analysis of the urban poor respondents found that majority were aged between 18 to 40 years old (55.9%), and 29.7% had diagnosed medical illnesses, where hypertension, diabetes and asthma were the most common illnesses at 12.4%, 10.9% and 5.0% respectively. About 10% of the urban poor respondents had physical disabilities such as blurring of vision (7.9%), hearing problems (1.0%) and other disabilities (1.0%).