Nurulaini Abu Shamsi

Dr. Nurulaini Abu Shamsi

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 June 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
Nor Aishah AbdullahNor Aishah Abdullah
Nor Aishah Abdullah
NSNurulaini Abu Shamsi
Nurulaini Abu Shamsi
Hashem Salarzadeh JenatabadiHashem Salarzadeh Jenatabadi
Hashem Salarzadeh Jenatabadi
BNBoon-Kwee Ng
Boon-Kwee Ng
KMKhairul Anam Che Mentri
Khairul Anam Che Mentri
The emergency transition from physical to online learning during COVID-19 has affected university students in various aspects, especially their academic performance. It can be caused by many factors, such as individual, environmental and social factors. Therefore, this study aims to determine the impact of fear, stress, well-being, teacher and parents’ support (independent variables) on undergraduates’ academic performance (dependent variable) during the COVID-19 pandemic. A structured online questionnaire has been developed and administered to 400 undergraduates. A structural equation model that integrated all variables under investigation was built and statistically validated using AMOS. The results demonstrated that well-being, teacher emotional support and teacher academic support have the highest significant impact on the respondents’ academic performance. It can be concluded that teachers’ support is the most substantial influence in ensuring student learning sustainability during the COVID-19 pandemic.

22 July 2021 in Healthcare
Verified
Journal Article
Open access
PDF file
Hashem Salarzadeh JenatabadiHashem Salarzadeh Jenatabadi
Hashem Salarzadeh Jenatabadi
NSNurulaini Abu Shamsi
Nurulaini Abu Shamsi
BNBoon-Kwee Ng
Boon-Kwee Ng
Nor Aishah AbdullahNor Aishah Abdullah
Nor Aishah Abdullah
KMKhairul Anam Che Mentri
Khairul Anam Che Mentri
Bayesian Structural Equation Modeling (SEM-Bayesian) was applied across different research areas to model the correlation between manifest and latent variables. The primary purpose of this study is to introduce a new framework of complexity to adolescent obesity modeling based on adolescent lifestyle through the application of SEM-Bayesian. The introduced model was designed based on the relationships among several factors: household socioeconomic status, healthy food intake, unhealthy food intake, lifestyle, body mass index (BMI) and body fat. One of the main contributions of this study is from considering both BMI and body fat as dependent variables. To demonstrate the reliability of the model, especially in terms of its fitting and accuracy, real-time data were extracted and analyzed across 881 adolescents from secondary schools in Tehran, Iran. The output of this study may be helpful for researchers who are interested in adolescent obesity modeling based on the lifestyle and household socioeconomic status of adolescents.

20 March 2026 in BMC Health Services Research
Verified
Journal Article
Open access
PDF file
NSNurulaini Abu Shamsi
Nurulaini Abu Shamsi
TCTzuenn-Yeu Chin
Tzuenn-Yeu Chin
BNBoon-Kwee Ng
Boon-Kwee Ng
Persistent inequities in healthcare access continue to affect underserved populations in low- and middle-income countries, including Malaysia. While social