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  1. Ahmed AAA, Al-Shami AM, Jamshed S, Fata Nahas AR
    BMC Public Health, 2019 Oct 16;19(1):1300.
    PMID: 31619202 DOI: 10.1186/s12889-019-7596-1
    BACKGROUND: The awareness of symptoms and action towards heart attack and stroke is important to reduce the morbidity and mortality in both developed and developing countries. The aim of this study was to develop a questionnaire on awareness and action towards symptoms and risk factors of heart attack and stroke among lay public in Malaysia. The questionnaire was developed in both English and Bahasa Melayu.

    METHODS: Primarily the questions were generated in English. Face and content validity were performed by five experts in Pharmacy Practice and Medicine. A translation as per guidelines into Malay language was performed; followed by face-to-face interview of 96 lay public in Kuantan, Pahang, Malaysia. For internal consistency, reliability was assessed utilizing Cronbach's alpha.

    RESULTS: The mean ± SD of the awareness and action towards heart attack symptoms and risk factors was 65.52 ± 6.3, with a good internal consistency (Cronbach's alpha = 0.75), whereas the mean of the awareness and action towards stroke symptoms and risk factors was 61.93 ± 7.11, with an accepted internal consistency (Cronbach's alpha = 0.86).

    CONCLUSION: The current validation research showed that the developed questionnaire is valid and reliable for assessing the awareness and action towards symptoms and risk factors of heart attack and stroke among lay public in Malaysia.

  2. Ahmed AAA, Al-Shami AM, Jamshed S, Zawiah M, Elnaem MH, Mohamed Ibrahim MI
    Risk Manag Healthc Policy, 2020;13:3089-3102.
    PMID: 33380849 DOI: 10.2147/RMHP.S281285
    Background: Cardiovascular disease is a leading nationwide cause of morbidity and mortality. Public awareness of risk factors for heart attacks is thought to impact the burden of disease, prevention, and timely management. The objective of this study was to assess the awareness of risk factors for heart attack and to identify the factors associated with the awareness of all modifiable risk factors for heart attack in the general population.

    Methods: This is a cross-sectional study conducted among 393 adult individuals in Kuantan, Pahang, Malaysia. Data collection was conducted through face-to-face interviews among the lay public members who were 18-64 years old, excluding healthcare professionals in clinical settings and academic settings. Statistical analysis was performed using chi-square test and logistic regression analysis.

    Results: The majority of the individuals identified smoking as a risk factor for heart attack, followed by atrial fibrillation (57.7%), heart disease (54.1%), and obesity (53.8%). However, diabetes (26%) was the risk factor that was least recognized by the participants. A total of 90.6% of participants identified at least one risk factor for heart attack, while 9.8% of the participants did not identify any risk factors for heart attack, whereas 5.6% identified all modifiable heart attack risk factors. Furthermore, participants aged 46-64 years old, married respondents, and Chinese participants, those with higher educational levels, and received prior information demonstrated great awareness of eight modifiable risk factors for heart attack. Multivariable logistic regression presented that participants with aged 55-64, those with family history of heart attack and individuals with dyslipidemia were factors independently related to excellent awareness (p=0.04, OR=6.21, 95% CL= 1.081-35.641), (p=0.049, OR=2.11, 95% CL=0.721-6.230) and (p=0.009, OR= 4.08, 95% CL= 1.427-11.685), respectively.

    Conclusion: Awareness of risk factors for heart attack appears to be poor, where most of the respondents recognized only one modifiable risk factor. According to these findings, programs and strategies to raise awareness of modifiable risk factors for HA are urgently needed to protect the lay public from HA.

  3. Dan Y, Ahmed AAA, Chupradit S, Chupradit PW, Nassani AA, Haffar M
    Front Psychol, 2021;12:780527.
    PMID: 34899530 DOI: 10.3389/fpsyg.2021.780527
    The basic aim of the study was to understand the role of the Big Five model of personality in predicting emotional intelligence and consequently in triggering the entrepreneurial behavior of the employees. The emotional intelligence of the individuals plays a very important role in decision making, enhancement of quality of living, and many other social realms. Hence, the intelligent use of emotions can make or break an individual's future considering their attitude toward exploiting the entrepreneurial opportunities available. This study has measured the impact of personality traits on emotional intelligence and EI's role in digital entrepreneurial behavior. The population used in this study was the middle management employees in the corporate sector of the mainland in China. The sample size taken in this study was 260 and selected through convenient sampling. The data was collected through a structured questionnaire measuring each variable. The data collected was employed to SmartPLS 3.3 for analyzing through structural equation modeling to measure the hypotheses. The study has found the partial effect of the Big Five model of personality on emotional intelligence, which significantly predicted the digital entrepreneurial behavior of the employees. The organizations can use the study findings to anticipate the employees' possible prospects and endeavors regarding their digital entrepreneurial behaviors.
  4. Al-Hada NM, Md Kasmani R, Kasim H, Al-Ghaili AM, Saleh MA, Banoqitah EM, et al.
    Nanomaterials (Basel), 2021 Aug 22;11(8).
    PMID: 34443973 DOI: 10.3390/nano11082143
    In the present work, a thermal treatment technique is applied for the synthesis of CexSn1-xO2 nanoparticles. Using this method has developed understanding of how lower and higher precursor values affect the morphology, structure, and optical properties of CexSn1-xO2 nanoparticles. CexSn1-xO2 nanoparticle synthesis involves a reaction between cerium and tin sources, namely, cerium nitrate hexahydrate and tin (II) chloride dihydrate, respectively, and the capping agent, polyvinylpyrrolidone (PVP). The findings indicate that lower x values yield smaller particle size with a higher energy band gap, while higher x values yield a larger particle size with a smaller energy band gap. Thus, products with lower x values may be suitable for antibacterial activity applications as smaller particles can diffuse through the cell wall faster, while products with higher x values may be suitable for solar cell energy applications as more electrons can be generated at larger particle sizes. The synthesized samples were profiled via a number of methods, such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FT-IR). As revealed by the XRD pattern analysis, the CexSn1-xO2 nanoparticles formed after calcination reflect the cubic fluorite structure and cassiterite-type tetragonal structure of CexSn1-xO2 nanoparticles. Meanwhile, using FT-IR analysis, Ce-O and Sn-O were confirmed as the primary bonds of ready CexSn1-xO2 nanoparticle samples, whilst TEM analysis highlighted that the average particle size was in the range 6-21 nm as the precursor concentration (Ce(NO3)3·6H2O) increased from 0.00 to 1.00. Moreover, the diffuse UV-visible reflectance spectra used to determine the optical band gap based on the Kubelka-Munk equation showed that an increase in x value has caused a decrease in the energy band gap and vice versa.
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