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In today’s competitive business world, marketing is critically important to universities in positioning a product to attract the interest of its clients, which are the prospective students. As for public universities such as University Teknologi Mara (UiTM), the key to survive the increasing competition and financial difficulties is through their alumni loyalty. The purpose of this study is to determine the factors that affects the Alumni Loyalty towards UiTM. This study tests a model derived from a relationship marketing perspective to investigate the effects of components of University Brand Image which are Academic System, Reputation, Employability, Shared Values and Social Network on the Alumni Loyalty towards UiTM. Based on the literature review, a theoretical model is proposed and tested through Partial Least Square - Structural Equations Modelling (PLS-SEM) using a sample of 815 UiTM alumni. The results reveal that the significant factors that affect Alumni Loyalty are Reputation, Employability and Shared Values. In addition, the results highlight that Academic System do not affect Alumni Loyalty directly but rather indirectly through the mediation of Satisfaction. Overall, Academic System, Reputation, Employability and Shared Values are important in explaining the variance of Alumni Loyalty. University should be careful about the quality of the course offered and methods of delivery by the academicians since the implication of an Academic System is significant toward the loyalty of alumni.

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Obesity is becoming an epidemic globally as it has been closely linked with a wide variety of chronic diseases. The identification of associated factors for obesity occurrences is still the main interest of many researchers. However, there has been extensive disagreement among researchers over possible factors associated with obesity which commonly involve the demographic factors, socioeconomic status (SES) and environmental factors. Biomarkers are also considered as important possible factors linked with the prevalence of obesity but investigations looking into their associations are still lacking. Therefore, it is important to examine factors that are associated with obesity using biomarkers and common factors to get detailed perspectives on obesity prevalence. The objectives of this study are to determine the prevalence of obesity and to examine the association between the common factors and biomarkers with obesity among community in Selangor, Malaysia. The results showed that the prevalence of obesity among participants was 49% (N=498) and Ordinal regression model with Cauchit built-in link function was the best fitted model to predict obesity. Meanwhile, three types of common factors (i.e. older age, being female and Malay ethnic) and one type of biomarker (i.e. high glucose level) were found to be significantly associated with obesity.

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