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  1. Jane Ling MY, Ahmad N, Mohd Radi MF, Aizuddin AN
    PLoS One, 2025;20(1):e0311834.
    PMID: 39775213 DOI: 10.1371/journal.pone.0311834
    BACKGROUND: The burden of type 2 diabetes is increasing globally. Risk perception of type 2 diabetes plays an important role in motivating adoption of healthy lifestyle and preventive health interventions. To address the increasing burden of type 2 diabetes in Malaysia, a better understanding on its risk perception is needed as a guide for preventive interventions. This study was aimed at developing and validating a Malay-language questionnaire to assess the risk perception of type 2 diabetes (RPDM) among Malaysians.

    METHODS: The questionnaire (RPDM) was developed based on the Health Belief Model and previous literature. A 59-item question pool was initially developed, reviewed by experts for content validity and pretested on five respondents. Different samples were used for pilot study (n = 100) and subsequent validation study (n = 158). Exploratory factor analysis (EFA) and Confirmatory factor analysis (CFA) were used to evaluate construct validity and construct reliability of the questionnaire.

    RESULTS: The EFA yielded five-factors model, including 48 items with good factor loadings of > 0.40. CFA was carried out using item parceling. The final model shows acceptable model fit and had sufficient convergent and discriminant validity. The value of construct reliability ranged between 0.76 and 0.90.

    CONCLUSION: This newly developed and validated Malay-language RPDM questionnaire is valid and reliable for measuring the five constructs (perceived self-efficacy, perceived severity, perceived benefit, perceived susceptibility and perceived barrier) of risk perception of type 2 diabetes among Malaysians. This Malay-language questionnaire may contribute to a better understanding of risk perception of type 2 diabetes among Malaysians, as well as enhancement of diabetes prevention communication between healthcare providers and their clients.

  2. Hashim JH, Adman MA, Hashim Z, Mohd Radi MF, Kwan SC
    Front Public Health, 2021;9:560592.
    PMID: 34026696 DOI: 10.3389/fpubh.2021.560592
    COVID-19 pandemic is the greatest communicable disease outbreak to have hit Malaysia since the 1918 Spanish Flu which killed 34,644 people or 1% of the population of the then British Malaya. In 1999, the Nipah virus outbreak killed 105 Malaysians, while the SARS outbreak of 2003 claimed only 2 lives. The ongoing COVID-19 pandemic has so far claimed over 100 Malaysian lives. There were two waves of the COVID-19 cases in Malaysia. First wave of 22 cases occurred from January 25 to February 15 with no death and full recovery of all cases. The ongoing second wave, which commenced on February 27, presented cases in several clusters, the biggest of which was the Sri Petaling Tabligh cluster with an infection rate of 6.5%, and making up 47% of all cases in Malaysia. Subsequently, other clusters appeared from local mass gatherings and imported cases of Malaysians returning from overseas. Healthcare workers carry high risks of infection due to the daily exposure and management of COVID-19 in the hospitals. However, 70% of them were infected through community transmission and not while handling patients. In vulnerable groups, the incidence of COVID-19 cases was highest among the age group 55 to 64 years. In terms of fatalities, 63% were reported to be aged above 60 years, and 81% had chronic comorbidities such as diabetes, hypertension, and heart diseases. The predominant COVID-19 strain in Malaysia is strain B, which is found exclusively in East Asia. However, strain A, which is mostly found in the USA and Australia, and strain C in Europe were also present. To contain the epidemic, Malaysia implemented a Movement Control Order (MCO) beginning on March 18 in 4 phases over 2 months, ending on May 12. In terms of economic impacts, Malaysia lost RM2.4 billion a day during the MCO period, with an accumulated loss of RM63 billion up to the end of April. Since May 4, Malaysia has relaxed the MCO and opened up its economic sector to relieve its economic burden. Currently, the best approach to achieving herd immunity to COVID-19 is through vaccination rather than by acquiring it naturally. There are at least two candidate vaccines which have reached the final stage of human clinical trials. Malaysia's COVID-19 case fatality rate is lower than what it is globally; this is due to the successful implementation of early preparedness and planning, the public health and hospital system, comprehensive contact tracing, active case detection, and a strict enhanced MCO.
  3. Baharom M, Ahmad N, Hod R, Ja'afar MH, Arsad FS, Tangang F, et al.
    Heliyon, 2024 Jan 15;10(1):e23473.
    PMID: 38173528 DOI: 10.1016/j.heliyon.2023.e23473
    BACKGROUND: Leptospirosis is a neglected emerging zoonotic disease with a profound public health impact worldwide with higher burden of disease in resource-poor countries. The environmental and occupational exposures contribute to human and animal transmission, but the interaction was less explored. A deeper understanding of the critical environmental and occupational drivers in different contexts will provide useful information for disease control and prevention measures.

    OBJECTIVE: This review aimed to summarize the potential environmental and occupational risk factors associated with leptospirosis infection.

    METHODS: Four databases (Scopus, Web of Science, Ovid MEDLINE, EBSCOhost) were searched for articles published from 2012 to 2021. Eligible articles were assessed using a checklist for assessing the quality of the studies. The quality of the articles was assessed based on the laboratory diagnosis approach and statistical analysis method.

    RESULTS: A total of 32 studies were included in this systematic review. Water-related risk factors such as natural water as the primary water source (AOR 1.8-18.28), water-related recreational activities (AOR 2.36-10.45), flood exposure (AOR 1.54-6.04), contact with mud (AOR 1.57-4.58) and stagnant water (AOR 2.79-6.42) were associated with increased risk of leptospirosis. Infrastructural deficiencies such as un-plastered house walls and thatched houses presented a higher risk (AOR 2.71-5.17). Living in low-lying areas (AOR 1.58-3.74), on clay loam soil (OR 2.72), agricultural land (OR 2.09), and near rubber tree plantations (AOR 11.65) is associated with higher risk of leptospirosis. Contact with rats (AOR 1.4-3.5), livestock (AOR 1.3-10.4), and pigs (AOR 1.54-7.9) is associated with an increased risk of leptospirosis. Outdoor workers (AOR 1.95-3.95) and slaughterhouse workers (AOR 5.1-7.5) have higher risk of leptospirosis.

    CONCLUSION: The environmental and occupational components related to water, infrastructure, landscape, agriculture, and exposed animals play an essential role in leptospirosis transmission. The magnitude of those risk factors differs with geographical region, climate factor, urbanization and population growth, and the country's socioeconomic status.

  4. Mohd Radi MF, Hashim JH, Jaafar MH, Hod R, Ahmad N, Mohammed Nawi A, et al.
    Am J Trop Med Hyg, 2018 05;98(5):1281-1295.
    PMID: 29532771 DOI: 10.4269/ajtmh.16-0922
    Severe floods increase the risk of leptospirosis outbreaks in endemic areas. This study determines the spatial-temporal distribution of leptospirosis in relation to environmental factors after a major flooding event in Kelantan, Malaysia. We conducted an observational ecological study involving incident leptospirosis cases, from the 3 months before, during, and three months after flood, in reference to the severe 2014 Kelantan flooding event. Geographical information system was used to determine the spatial distribution while climatic factors that influenced the cases were also analyzed. A total of 1,229 leptospirosis cases were notified within the three study periods where incidence doubled in the postflood period. Twelve of 66 subdistricts recorded incidence rates of over 100 per 100,000 population in the postflood period, in comparison with only four subdistricts in the preflooding period. Average nearest neighborhood analysis indicated that the cases were more clustered in the postflood period as compared with the preflood period, with observed mean distance of 1,139 meters and 1,666 meters, respectively (both at P < 0.01). Global Moran's I was higher in the postflood period (0.19; P < 0.01) as compared with the preflood period (0.06; P < 0.01). Geographic weighted regression showed that living close to water bodies increased the risk of contracting the disease. Postflooding hotspots were concentrated in areas where garbage cleanup occurred and the incidence was significantly associated with temperature, humidity, rainfall, and river levels. Postflooding leptospirosis outbreak was associated with several factors. Understanding the spatial distribution and associated factors of leptospirosis can help improve future disease outbreak management after the floods.
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