AIM: To determine the neighbourhood factors influencing the prevalence of abnormal mental health status among adolescents in an urban population.
METHOD: A cross-sectional study was conducted among adolescents aged 13, 14 and 16 years old from thirteen secondary schools in Kuala Lumpur using validated questionnaires. A total of 567 adolescents participated in this study.
RESULTS: The prevalence of abnormal mental health status in this study was 4.4%. In multivariable analysis, female (OR = 1.79, 95%CI: 1.11-2.89), having divorced parents (OR = 3.53, 95%CI: 1.96-6.36), high educational stress (OR = 8.18, 95%CI: 4.25-15.75), medium educational stress (OR = 2.99, 95%CI: 1.53-5.83), whose house has been broken in before (OR = 2.02, 95%CI: 1.11-3.68) and living in a neighbourhood with low socioeconomic status (OR = 2.09, 95%CI: 1.23-3.56) were more likely to have abnormal mental health status.
CONCLUSIONS: Neighbourhood factors were found to be significant in determining adolescents' mental health status. The findings emphasize the importance of those in the public health sector to highlight these significant neighbourhood factors to the Ministry of Housing and Local Government. Swift action needs to be taken by the Ministry to provide solutions related to the neighbourhood factors and this can contribute to improvement in the adolescents' mental health.
MATERIALS AND METHODS: This retrospective review concerned data for patients diagnosed with colorectal cancer in the years 1995 to 2011 collected from the Wilayah Persekutuan Health Office, taken from the cancer notification form (NCR-2), and patient medical records from the Surgical Department, Universiti Kebangsaan Malaysia Medical Centre (UKMMC). A total of 146 cases were analyzed. All the data collected were analysed using ArcGIS version 10.0 and SPSS version 19.0.
RESULTS: Patients aged 60 to 69 years accounted for the highest proportion of cases (34.2%) and males slightly predominated 76 (52.1%), Chinese had the highest number of registered cases at 108 (74.0%) and staging revealed most cases in the 3rd and 4th stages. Kernel density analysis showed more cases are concentrated up in the northern area of Petaling and Kuala Lumpur subdistricts. Spatial global pattern analysis by average nearest neighbour resulted in nearest neighbour ratio of 0.75, with Z-score of -5.59, p value of <0.01 and the z-score of -5.59. Spatial autocorrelation (Moran's I) showed clustering significant with p<0.01, Z score 3.14 and Moran's Index of 0.007. When mapping clusters with hotspot analysis (Getis-Ord Gi), hot and cold spots were identified. Hot spot areas fell on the northeast side of KL.
CONCLUSIONS: This study demonstrated significant spatial patterns of cancer incidence in KL. Knowledge about these spatial patterns can provide useful information to policymakers in the planning of screening of CRC in the targeted population and improvement of healthcare facilities to provide better treatment for CRC patients.
Method: A cross-sectional study was conducted in Kota Kinabalu, Sabah between January and April 2020. Data were collected using a validated questionnaire which encompasses details about sociodemographic, health status, environment, and employment characteristics.
Results: A total of 290 waste collectors with a mean age of 40 (±9) years old were participated in the study. Most of them were from Kadazan-Dusun-Murut ethnic origin with educational background till secondary school. The average monthly income of the workers was USD 298.45 (±171.9) per month, and they had been in service for 11 (±9.04) years. Respiratory symptoms were seen in 21% of the workers. The identified significant risk factors were determined as underlying chronic diseases (OR=2.34; 95% CI=1.054, 5.219) and contact with pets (OR=1.87; 95% CI=1.004, 3.288).
Conclusion: Respiratory symptoms are prevalent amidst domestic waste collectors and related to their health and field activities.