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  1. Parental smoking status, stress, anxiety, and depression are associated with susceptibility to smoking among non-smoking school adolescents in Malaysia
    Lim KH, Chong Z, Khoo YY, Kaur J
    Asia Pac J Public Health, 2014 Sep;26(5 Suppl):81S-90S.
    PMID: 25038194 DOI: 10.1177/1010539514542426
    Susceptibility to smoking is a reliable predictor of smoking initiation. This article describes its prevalence and associated factors among Malaysian school adolescents. Data were obtained from the Global School-Based Student Health Survey (GSHS) 2012, a nationwide representative sample of school adolescents. The overall prevalence of susceptibility to smoking was 6.0% and significantly higher among males (9.5%) compared with females (3.6%). Multivariable analyses revealed that males (adjusted odds ratio [aOR] 3.34, 95% confidence interval [CI] 2.70-4.18) and school adolescents of indigenous Sabahan or Sarawakian descents (aOR 1.62, 95%CI 1.21-2.18) were significantly more likely to be susceptible to smoking. Susceptible school adolescents had a slightly higher likelihood to have symptoms of stress (aOR 1.31, 95% CI 1.02-1.70), anxiety (aOR 1.19, 95% CI 1.01-1.40), depression (aOR 1.56, 95% CI 1.25-1.96), including those whose one or both parents/guardians were smokers (aOR 1.48, 95% CI 1.21-1.82; aOR 2.33, 95% CI 1.22-4.44, respectively). The findings from this study point out the need for proactive measures to reduce smoking initiation among Malaysian adolescents with particular attention toward factors associated with susceptibility to smoking.
    Study name: Global School-Based Student Health Survey (GSHS)
  2. Humoral response to SARS-CoV-2 vaccines among healthcare workers in a tertiary hospital in Malaysia
    Amrina MA, Shahidah M, Sofiah HR, Mirlia SCM, Thilakaveni R, Chong ZL, et al.
    Med J Malaysia, 2023 Jan;78(1):20-24.
    PMID: 36715186
    INTRODUCTION: Healthcare workers (HCWs) were among the first to be fully vaccinated against SARS-CoV-2. However, the antibody responses to the vaccines and potential decline among Malaysian HCW are still unclear. The objective of this study is to follow-up anti-S antibody levels among HCW vaccinated with mRNA vaccine (BTN162b2) and inactivated vaccine (CoronaVac).

    MATERIALS AND METHODS: Plasma samples were collected prevaccination, 2 weeks and 6 months post-vaccination and tested for total immunoglobulin levels using ELISA method.

    RESULTS: A small percentage of HCW (2.2%, 15/677) had elevated anti-S antibody levels in their pre-vaccination plasma samples (median 20.4, IQR 5.8), indicating that they were exposed to SARS-CoV-2 infection prior to vaccination. The mRNA vaccine significantly increased anti-S levels of both previously infected and uninfected individuals to saturation levels (median 21.88, IQR.0.88) at 2 weeks postsecond dose of the vaccine. At 6 months post-vaccination, the antibody levels appeared to be maintained among the recipients of the mRNA vaccine. However, at this time point, anti-S antibody levels were lower in individuals given inactivated vaccine (median 20.39, IQR 7.31, n=28), and interestingly, their antibody levels were similar to anti-S levels in pre-vaccination exposed individuals. Antibody levels were not different between the sexes.

    CONCLUSION: Anti-S levels differ in individuals given the different vaccines. While further study is required to determine the threshold level for protection against SARSCoV- 2, individuals with low antibody levels may be considered for boosters.

  3. Fulltext Multi-platform discovery of haplotype-resolved structural variation in human genomes
    Chaisson MJP, Sanders AD, Zhao X, Malhotra A, Porubsky D, Rausch T, et al.
    Nat Commun, 2019 04 16;10(1):1784.
    PMID: 30992455 DOI: 10.1038/s41467-018-08148-z
    The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome. We also discover 156 inversions per genome and 58 of the inversions intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a three to sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The methods and the dataset presented serve as a gold standard for the scientific community allowing us to make recommendations for maximizing structural variation sensitivity for future genome sequencing studies.
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