1.Prevalence of Smoking and Its Associated Factors among University Staff
AA Fasoro ; L Rampal ; MS Sherina ; MS Salmiah
Malaysian Journal of Medicine and Health Sciences 2013;9(2):45-51
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.
2.Prevalence of Urban Poor and Its Health Related Factors in the State of Selangor, Malaysia
MS Sherina ; L Rampal ; AR Hejar ; A Rozali ; A Mohd Yunus
Malaysian Journal of Medicine and Health Sciences 2011;7(1):17-26
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%).
3.Computer Aided Learning Knowledge among Medical Students in the Faculty of Medicine and Health Sciences, Universiti Putra Malaysia
MS Sherina ; A Mohd Yunus ; SA Azlan Hamzah ; MZ Azhar
Malaysian Journal of Medicine and Health Sciences 2009;5(1):49-57
Computer proficiency has become necessary in many areas of medicine, administration, clinical practices, research, as well as education. The need for greater competence in information and communication technologies (IST) by doctors and medical students is increasingly recognised. Objectives: This study was undertaken to determine the knowledge, attitude and practices on ICT in the medical students of a local university. Methods: A cross-sectional descriptive study was conducted among medical students (Years 1-5) from December 2005 to May 2006 in Universiti Putra Malaysia. A self-administered questionnaire was used to collect data. Descriptive statistics were used to obtain frequencies for allvariables studied. Results: There were 343 respondents aged 18-29 years old. The results showed 82.2% of the respondents (82.2%) were comfortable using computers after enteringmedical school and 89.2% believed that ICT and computers skills are important for doctors. About 81.3% of the respondents were aware of the role of ICT and computers in learning medicine, 90.4% had used presentation packages, and 83.4% used word processing and search engines as software tools. Conclusion: The findings of this study show that medical students are knowledgeable and do have skills in information technology (IT) and computers. They are also aware of the role of information technology (IT) and computers in medicine
4.A National Study on the Prevalence and Factors Associated with Smoking Amongst Malaysians Aged 18 Years and Above
Lekhraj Rampal ; Sanjay Rampal ; MZ Azhar ; MS Sherina ; T Mohamad ; R Ramlee ; J Ahmad
Malaysian Journal of Medicine and Health Sciences 2008;4(2):41-53
Objective: A cross-sectional study was conducted in Malaysia with the objectives of determining the prevalence of smoking in Malaysia, reasons for starting to smoke, age first started to smoke, duration of smoking and to determine the relationship between smoking and age, sex,race, education level, peer influence and parental smoking status. Methods:All residents aged 18 years and above from selected households were included in this study. A standardised pre-tested structured questionnaire was used in this study. Results: The results showed that the overall mean age of the 17.246 respondents was 38.8 (95% CI=38.5-39.2) years with a range of 18-100 years. The majority were Malays (55.5%) followed by Chinese (21.2%) and Indians (11.2%). The age , sex and ethnicity adjusted prevalence of ever and current smokers were 32.0% and 24.9% respectively. The prevalence of ever and current smokers for males was 59.3% and 47.2% respectively. For the females,the prevalence of ever and current smokers was 4.8% and 2.7% respectively. The highest ethnicity adjusted prevalence of current smokers was in Malays (28.9%) followed by the Chinese (18.7%). The lowest prevalence was amongst the Indians (16.8%). The highest prevalence of current smokers was found in Kelantan (30.2%), Terengganu (29.7%), Pahang (28.7%) and Kedah (26.9%); the lowest prevalence was in Kuala Lumpur, Federal Territory (20.4%). The overall mean initiation age of current smokers was 19.2 years (95% CI=19.1. 19.4 years). The mean initiation age of male current smokers was significantly lower (18.9 years) compared to female current smokers(24.1 years). The mean duartion of smoking amongst the current smokers was 18.6 years .Males smoked significantly more cigarettes than the females (p<0.001). Discussion: Multivirate logistic regression analysis showed that smoking was significantly associated with age, sex, ethnicity, educational level and peer and family influence.
5.The reliability and validity of the Malay version 17-item Diabetes Distress Scale
Chew BH ; Mukhtar F ; Sherina MS ; Paimin F ; Hassan NH ; Jamaludin NK
Malaysian Family Physician 2015;10(2):22-35
Introduction: Diabetes-related distress (DRD) refers to patient’s concerns about diabetes
mellitus, its management, need of support, emotional burden and access to healthcare. The aim
of this study was to translate and examine the psychometric properties of the Malay version of
the 17-item Diabetes Distress Scale (MDDS-17) in adult patients with type 2 diabetes mellitus
(T2D).
Methods: A standard procedure was used to translate the English 17-items Diabetes Distress
Scale into Malay language. We used exploratory factor analysis (EFA) with principal axis
factoring and promax rotation to investigate the factor structure. We explored reliability by
internal consistency and 1-month test-retest reliability. Construct validity was examined
using the World Health Organization quality of life-brief questionnaire, Morisky Medication
Adherence Scale, Patient Health Questionnaire and disease-related clinical variables.
Results: A total of 262 patients were included in the analysis with a response rate of 96.7%. A
total of 66 patients completed the test–retest after 1 month. EFA supported a three-factor model
resulting from the combination of the regimen distress (RD) and interpersonal distress (IPD)
subscales; and with a swapping of an item between emotional burden (EB; item 7) and RD
(item 3) subscales. Cronbach’s α for MDDS-17 was 0.94, the combined RD and IPD subscale
was 0.925, the EB subscale was 0.855 and the physician-related distress was 0.823. The test–
retest reliability’s correlation coefficient was r = 0.29 (n = 66; p = 0.009). There was a significant
association between the mean MDDS-17 item score categories (<3 vs ≥3) and HbA1c categories
(<7.0% vs ≥7.0%), and medication adherence (medium and high vs ≥low). The instrument
discriminated between those having diabetes-related complication, low quality of life, poor
medication adherence and depression.
Conclusion: The MDDS-17 has satisfactory psychometric properties. It can be used to map
diabetes-related emotional distress for diagnostic or clinical use.