Association Between Demographics and Food Security Awareness in Seremban, Malaysia
Authors
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan, Kampus Seremban, Negeri Sembilan (Malaysia)
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Cawangan Negeri Sembilan, Kampus Seremban, Negeri Sembilan (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2025.910000107
Subject Category: Food Science and Technology
Volume/Issue: 9/10 | Page No: 1252-1259
Publication Timeline
Submitted: 2025-10-06
Accepted: 2025-10-14
Published: 2025-11-05
Abstract
The COVID-19 pandemic has highlighted Malaysia’s vulnerability in ensuring food security, particularly through supply chain disruptions that caused shortages and price increases. Understanding how communities perceive and prepare for food security has become increasingly important in this context. This study examines the level of food security awareness within the Seremban community in Negeri Sembilan, Malaysia, and explores the association between demographic characteristics and awareness levels. 384 respondents were asked to self-assess their awareness, providing insight into their perceived understanding of food security issues. The findings indicate that 37.50% of participants reported a moderate level of awareness, 34.11% reported a high level, and 28.39% reported a low level of awareness. The Chi-Square Test of Independence revealed that age, gender, education, and household income were not significantly associated with awareness levels. However, the type of housing demonstrated a significant relationship (p = 0.012). The study recommends implementing tailored educational initiatives to enhance food security awareness within the community.
Keywords
food security, awareness level, demographic characteristics
Downloads
References
1. United Nations. (2023). The Sustainable Development Goals Report 2023. New York: United Nations. [Google Scholar] [Crossref]
2. Luqfi Nulhakim Mohd Azman, A., Aqilah Abdullah, N., Khadijah Ninam Shah, S., & Puteh, F. (2023). Strategic analysis of climate change and food security in Malaysia. Journal of Administrative Science, 20(1), 51–77. [Google Scholar] [Crossref]
3. Shah, A. U. M., Safri, S. N. A., Thevadas, R., Noordin, N. K., Abd Rahman, A., Sekawi, Z., ... & Sultan, M. T. H. (2020). COVID-19 outbreak in Malaysia: Actions taken by the Malaysian government. International Journal of Infectious Diseases, 97, pp. 108–116. [Google Scholar] [Crossref]
4. Ministry of Agricultural and Food Security. (2021). National Agrofood Policy 2021–2030 (NAP 2.0). https://www.mafi.gov.my [Google Scholar] [Crossref]
5. Malay Mail. (2023, October 30). Chicken subsidy removal: More socio-economic, welfare initiatives from savings. Malay Mail. https://www.malaymail.com/news/malaysia/2023/10/30/chicken-subsidy-removal-moresocio-economic-welfare-initiatives-from-savings-says-agriculture-and-food-securityministry/99317 [Google Scholar] [Crossref]
6. Gavahian, M. (2024). Opinion on the prospects of emerging food processing technologies to achieve sustainability in the industry by reduced energy consumption, waste reduction and valorisation, and improved food nutrition. International Journal of Food Science and Technology, 59(11), 8135–8140. https://doi.org/10.1111/ijfs.17525 [Google Scholar] [Crossref]
7. Kote, P., M, Y., Jabeen, A., T. N., S., Prabhavathi, S. J., Ramasamy, M., Dhanalakshmi, K., Chitra, K., & Malathi, G. (2024). A scoping review on youth participation in agriculture: Sustainable development, food security, and economic growth. Journal of Scientific Research and Reports, 30(5), 947–958. https://doi.org/10.9734/jsrr/2024/v30i52012 [Google Scholar] [Crossref]
8. Abu Bakar, W. A. M., Ismail, S., Sidek, S., & Rahman, R. A. (2019). Prevalence and factors affecting food insecurity among university students in Pahang, Malaysia. Malaysian Journal of Nutrition, 25(1), 59–68. https://doi.org/10.31246/mjn-2018-0139 [Google Scholar] [Crossref]
9. Sharpe, D. (2015). Your chi-square test is statistically significant—Now what? Practical Assessment, Research & Evaluation, 20(8). [Google Scholar] [Crossref]
10. McHugh, M. L. (2013). The chi-square test of independence. Biochemia Medica, 23(2), 143–149. https://doi.org/10.11613/BM.2013.018 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Physiochemical and Consumer Acceptability of Biscuit Produced from Wheat and African Oil Bean Flour Blends
- Development and Market Potential of Oyster Mushroom Powder
- Identification of Oil Producing Yeast and Characterization of Its Oil
- Determinants of Consumers’ Behavioral Intention to Purchase Seafood Online: A UTAUT-Based Analysis in Surigao Del Sur, Philippines