METHODS: A community-based cross-sectional study was conducted among 1,344 adolescents in Sarawak using face-to-face interviews. Hierarchical binary logistic regression analysis was performed to identify factors that determine the risk of suicide among adolescents.
RESULTS: Two predictive models were constructed. Both models revealed that being female (OR=1.578, 95 % CI: 1.191, 2.092, p=0.001), having Malay ethnicity (OR=1.733, 95 % CI: 1.236, 2.429, p=0.001) and having a disease significantly increased the risk of suicide (OR=1.895, 95 % CI: 1.221, 2.942, p=0.004). In particular, Model 2, which showed a better fit, found that occasional religious practice (OR=1.610, 95 % CI: 1.126, 2.303, p=0.009), poor parental relationships (OR=1.739, 95 % CI: 1.035, 2.922, p=0.037) and higher addiction (OR=1.015, 95 % CI: 1.008, 1.022, p=0.001), depression (OR=1.919, 95 % CI: 1.241, 2.968, p=0.003), and stress (OR=2.707, 95 % CI: 1.689, 4.340, p=0.001) scores were significantly associated with an increased risk of suicide.
CONCLUSIONS: This study sheds light on multiple factors that contribute to the risk of suicide among adolescents in Sarawak. These findings underscore the importance of holistic prevention strategies, including psychological and social dimensions, to mitigate the risk of suicide in this population. Further research is warranted to understand the complex interplay of these factors and guide the development of targeted interventions.
METHODS: Haematological cancer cases with ICD-10 coded C81-C96 and ICD-O coded /3 diagnosed from 1996 to 2015 were retrieved from Sarawak Cancer Registry. Adult was defined as those 15 years and above. Incidence rate (IR) was calculated based on yearly Sarawak citizen population stratified to age, gender, and ethnic groups. Age-standardised IR (ASR) was calculated using Segi World Standard Population.
RESULTS: A total of 3,947 cases were retrieved and analysed. ASR was 10 and male predominance (IR ratio 1.32, 95%CI 1.24,1.41). Haematological cancers generally had a U-shaped distribution with lowest IR at age 10-14 years and exponential increment from age 40 years onwards, except acute lymphoblastic leukaemia (ALL) with highest IR in paediatric 2.8 versus adult 0.5. There was a significant difference in ethnic and specific categories of haematological cancers, of which, in general, Bidayuh (IR ratio 1.13, 95%CI 1.00, 1.27) and Melanau (IR ratio 0.54, 95%CI 0.45, 0.65) had the highest and lowest ethnic-specific IR, respectively, in comparison to Malay. The ASR (non-Hodgkin lymphoma, acute myeloid leukaemia, ALL, chronic myeloid leukaemia, and plasma cell neoplasm) showed a decreasing trend over the 20 years, -2.09 in general, while Hodgkin lymphoma showed an increasing trend of + 2.80. There was crude rate difference between the 11 administrative divisions of Sarawak.
CONCLUSIONS: This study provided the IR and ASR of haematological cancers in Sarawak for comparison to other regions of the world. Ethnic diversity in Sarawak resulted in significant differences in IR and ASR.
METHODS: We established a sentinel surveillance programme for hand, foot and mouth disease in Sarawak, Malaysia, in March 1998, and the observations of the first 7 years are described here. Virus isolation, serotyping and genotyping were performed on throat, rectal, vesicle and other swabs.
RESULTS: During this period Sarawak had two outbreaks of human enterovirus 71, in 2000 and 2003. The predominant strains circulating in the outbreaks of 1997, 2000 and 2003 were all from genogroup B, but the strains isolated during each outbreak were genetically distinct from each other. Human enterovirus 71 outbreaks occurred in a cyclical pattern every three years and Coxsackievirus A16 co-circulated with human enterovirus 71. Although vesicles were most likely to yield an isolate, this sample was not generally available from most cases and obtaining throat swabs was thus found to be the most efficient way to obtain virological information.
CONCLUSION: Knowledge of the epidemiology of human enterovirus 71 transmission will allow public health personnel to predict when outbreaks might occur and to plan interventions in an effective manner in order to reduce the burden of disease.