METHODS AND STUDY DESIGN: This cross-sectional study was conducted from 1 May to 30 June, 2013, in three rural divisions of Sabah (the Interior, the West Coast, and Kudat). Data regarding domestic iodised salt use and iodine-containing supplement consumption were obtained from respondents through face-to-face interviews; goitre enlargement was examined through palpation and graded according to the World Health Organization classification. Spot urine samples were also obtained to assess urinary iodine levels by using an in-house modified micromethod.
RESULTS: In total, 534 pregnant women participated. The prevalence of goitre was 1.0% (n=5), noted only in the West Coast and Kudat divisions. Although all pregnant women consumed iodised salt, overall median urinary iodine concentration was only 106 μg/L, indicating insufficient iodine intake, with nearly two-thirds of the women (60%) having a median urinary iodine concentrations of <150 μg/L.
CONCLUSIONS: Pregnant women from the rural divisions in Sabah still exhibit iodine deficiency disorder despite the mandatory universal salt iodisation programme. Iodine supplementation programmes targeting pregnant women are warranted.
METHODS: Cross sectional study. Adult patients diagnosed with HIV infection and had at least one medical encounter in a primary healthcare setting during three years prior to diagnosis were included. We collected data on sociodemographic characteristics, patient characteristics at diagnosis, HIV-related conditions and whether they were subjected to risk assessment and offered HIV testing during the three years prior to HIV diagnosis.
RESULTS: 65 newly HIV-diagnosed patients (male: 92.3%; Malays: 52.4%; single: 66.7%; heterosexual: 41%; homosexual 24.6%; CD4 <350 at diagnosis: 63%). 93.8% were unaware of their HIV status at diagnosis. Up to 56.9% had presented with HIV-related conditions at a primary healthcare facility during the three years prior to diagnosis. Slightly more than half were had risk assessment done and only 33.8% were offered HIV-testing.
CONCLUSIONS: Missed opportunities for HIV-testing was unacceptably high with insufficient risk assessment and offering of HIV-testing. Risk assessment must be promoted and primary care physicians must be trained to recognize HIV-related conditions that will prompt them to offer HIVtesting.
METHODS: Blood samples from 78 knowlesi malaria patients were used. Forty-eight of the samples were from Peninsular Malaysia, and 30 were from Malaysia Borneo. The genomic DNA of the samples was extracted and used as template for the PCR amplification of the PkγRII. The PCR product was cloned and sequenced. The sequences obtained were analysed for genetic diversity and natural selection using MEGA6 and DnaSP (version 5.10.00) programmes. Genetic differentiation between the PkγRII of Peninsular Malaysia and North Borneo isolates was estimated using the Wright's FST fixation index in DnaSP (version 5.10.00). Haplotype analysis was carried out using the Median-Joining approach in NETWORK (version 4.6.1.3).
RESULTS: A total of 78 PkγRII sequences was obtained. Comparative analysis showed that the PkγRII have similar range of haplotype (Hd) and nucleotide diversity (π) with that of PkDBPαRII. Other similarities between PkγRII and PkDBPαRII include undergoing purifying (negative) selection, geographical clustering of haplotypes, and high inter-population genetic differentiation (FST index). The main differences between PkγRII and PkDBPαRII include length polymorphism and no departure from neutrality (as measured by Tajima's D statistics) in the PkγRII.
CONCLUSION: Despite the biological difference between PkγRII and PkDBPαRII, both generally have similar genetic diversity level, natural selection, geographical haplotype clustering and inter-population genetic differentiation index.
METHODS: This was a cross sectional study conducted among 400 patients with type 2 diabetes mellitus in Tehran from March to August 2013. Biochemical blood profiles, socio-demographic, lifestyle, anthropometric measurements, and dietary data were obtained. Dietary data from food frequency questionnaire were used to derive dietary patterns. Factor analysis was conducted to ascertain the dietary patterns, and analysis of covariance was fitted to assess the relation between blood profiles, body weight and adherence to dietary patterns.
RESULTS: Three dietary patterns by factor analysis were identified, Vegetable & Poultry, Western and Semi-healthy. After control for potential confounders, body mass index (b = -0/03, p