2 research outputs found
The translation and validation of the smartphone use questionnaire (SUQ) into the Malay language
Interruptions caused by frequent smartphone use steals attention away from
daily activities, bringing serious implications onto an individual’s health, safety
and education. Smartphone Use Questionnaire (SUQ) is a 20-item questionnaire
developed to assess the pattern of smartphone use and its effect on attention. This
study was done to translate and validate the Malay-language version of the SUQ
and to measure the psychometric properties of the Malay-version SUQ to justify
its use in Malaysia. A forward and back-translation was done by four individuals,
who were three physicians and one linguist. Content and face validity was done
involving three experts who were a linguist, psychiatrist and epidemiologist.
Psychometric testing was conducted on a sample of 195 individuals proficient in
the Malay language. A construct validity test was performed using factor analysis
and the internal reliability was tested by calculating for the Cronbach’s Alpha. The
age range of the sample was 13-59 years, most of which were female and of the
Malay race. Using principal component analysis with direct oblimin rotation, the
factor analysis extracted two components similar to the original study: General
Use and Absent-Minded Use. However, question number 20 was grouped into
General Use component, whereas in the original study it was under the Absent-Minded Use component. The Cronbach’s Alpha for the obtained components was
0.884 and 0.927, respectively. This study found that the Malay-version SUQ was a
valid and reliable instrument for use in Malaysia in assessing inattention associated
with smartphone use
A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity
Obesity and its complications is one of the main issues in today’s world and is increasing rapidly. A wide range of non-contagious diseases, for instance, diabetes type 2, cardiovascular, high blood pressure and stroke, numerous types of cancer, and mental health issues are formed following obesity. According to the WHO, Malaysia is the sixth Asian country with an adult population suffering from obesity. Therefore, identifying risk factors associated with obesity among Malaysian adults is necessary. For this purpose, this study strives to investigate and assess the risk factors related to obesity and overweight in this country. A quantitative approach was employed by surveying 26 healthcare professionals by questionnaire. Collected data were analyzed with the DEMATEL and Fuzzy Rule-Based methods. We found that lack of physical activity, insufficient sleep, unhealthy diet, genetics, and perceived stress were the most significant risk factors for obesity