2018
DOI: 10.3390/ijerph15122813
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Differing Contributions of Classical Risk Factors to Type 2 Diabetes in Multi-Ethnic Malaysian Populations

Abstract: The prevalence of type 2 diabetes is escalating rapidly in Asian countries, with the rapid increase likely attributable to a combination of genetic and lifestyle factors. Recent research suggests that common genetic risk variants contribute minimally to the rapidly rising prevalence. Rather, recent changes in dietary patterns and physical activity may be more important. This nested case-control study assessed the association and predictive utility of type 2 diabetes lifestyle risk factors in participants from … Show more

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Cited by 15 publications
(19 citation statements)
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References 62 publications
(70 reference statements)
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“…In the viral hepatitis infection, the viral-host genome integration causes chromosomal instability, mutagenesis, and activation of tumour-associated genes, resulting in uncontrolled proliferation of faulty hepatocytes that vary depending on genetic influences [ 44 , 45 ]. Aside from the genetic-environmental influence, risk factors prevention, dietary composition, behavioural and biological factors differ greatly between ethnicities [ 46 ]. In this study, Malay with hepatitis has the highest odds of HCC is possible to the higher occurrence of metabolic diseases such as DM, obesity, and dyslipidaemia among Malay compared to the Chinese population [ 47 ].…”
Section: Discussionmentioning
confidence: 99%
“…In the viral hepatitis infection, the viral-host genome integration causes chromosomal instability, mutagenesis, and activation of tumour-associated genes, resulting in uncontrolled proliferation of faulty hepatocytes that vary depending on genetic influences [ 44 , 45 ]. Aside from the genetic-environmental influence, risk factors prevention, dietary composition, behavioural and biological factors differ greatly between ethnicities [ 46 ]. In this study, Malay with hepatitis has the highest odds of HCC is possible to the higher occurrence of metabolic diseases such as DM, obesity, and dyslipidaemia among Malay compared to the Chinese population [ 47 ].…”
Section: Discussionmentioning
confidence: 99%
“…The sample size was calculated using the formula for multiple regression (Milton, 1986). Based on the factors associated with T2D risk scores in a previous local study (Abdullah et al, 2018), a total of 70 respondents were required for the study. An additional 10% was required to account for missing data, non-response or refusal to participate, yielding a minimum of 78 respondents for the study.…”
Section: Sample Size Calculationmentioning
confidence: 99%
“…Diabetes risk score tools have been developed to improve risk stratification, enhance early detection of T2D, identify individuals with undiagnosed diabetes, and raise awareness in the population to modify risk factors and practice a healthier lifestyle (Saleem et al, 2017;Dugee et al, 2015). Some of the diabetes risk score tools that have been used in the Malaysian population include the Australian T2D risk assessment tool (AUSDRISK) (Hasbullah et al, 2021), Finnish Diabetes Risk Score (FINDRISC) (Lim et al, 2020;Oo et al, 2020) and Indian Diabetes Risk Score (Abdullah et al, 2018). Nonetheless, none of these studies assessed T2D risk specifically in Malaysian women of childbearing age.…”
Section: Introductionmentioning
confidence: 99%
“…The phenomenon of diabetes mellitus is a global challenge today and has reached an alarming level. Several factors have triggered the development of 90% type 2 diabetes and caused metabolic disorders characterized by a variety of complications (Abdullah et al, 2018;Hameed et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Based on statistics from The Second National Health and Morbidity Survey, shows that more than 3.4 million Malaysians were diagnosed with diabetes in 2010, which is about 11.8% of the total population in Malaysia, and a dramatic increase of 4.5 million in 2020 (Humaira, 2018). The study from Abdullah et al (2018) and Zanariah et al (2015) believes that apart from the existing factors, cultural practice factors influence this epidemic because of Malaysia's multi -racial harmony and harmony in terms of customs and culture itself, in addition to the influence of family genetics.…”
Section: Introductionmentioning
confidence: 99%