Article citationsMore>>
Moradi-Lakeh, M., El-Bcheraoui, C., Afshin, A., Daoud, F., Al-Mazroa, M.A., Al-Saeedi, M., Mohammed Basulaiman, M., Memish, Z.A., Abdullah, A., Al Rabeeah, A.A. and Mokdad, A.H. (2017) Diet in Saudi Arabia: Findings from a Nationally Representative Survey. Public Health Nutrition, 20, 1075-1081.
https://doi.org/10.1017/S1368980016003141
has been cited by the following article:
-
TITLE:
Predicting Healthy Eating Intentions in Saudi Adults
AUTHORS:
Hala Hazam Al Otaibi
KEYWORDS:
Path Analysis, Healthy Eating, Saudi, Adults
JOURNAL NAME:
Food and Nutrition Sciences,
Vol.9 No.12,
December
14,
2018
ABSTRACT: Background: Despite the dietary guidelines for healthy eating (HE) and daily recommended food servings to promote healthy dietary patterns among the population in Saudi Arabia, the incidence of unhealthy eating has increased. Methods: We used the Theory of Planned Behavior (TPB) as a conceptual framework to explain and understand important factors affecting HE among Saudi adults. Six hundred forty-seven Saudi adults were recruited for an online survey. Results: The mean age of the subjects was 26.74 ± 8.21 years; the majority of subjects (74.1%) were young adults and were primarily female (60.1%). The correlation analysis indicated a positive correlation between all the TPB components and HE. The present study shows that positive attitudes and perceived behavioral control are the strongest predictors of HE intuition. The path analysis showed a good overall model fit (RMSEA = 0.034; CFI = 0.975; NFI = 974; GFI = 0.975) (χ2 = 4.1964, df = 3, p = 0.45). Conclusion: Understanding the factors that influence behavior can improve dietary patterns and quality of life and can reduce the risks of chronic diseases.
Related Articles:
-
Mahmoud M. Rashad, Ghada Abd Razek, Ghada Reffat
-
Ahad Abdulqader Allam, Amer Nizar AbuAli, Fahad Mahmoud Ghabban, Omair Ameerbakhsh, Ibrahim Mohammed Alfadli, Abdulaziz Saleh Alraddadi
-
Ali H. Yasir, Alaa S. Khalaf, Moayad N. Khalaf
-
Antonio Di Leva, Salvatore Femiano
-
Qun Liang, Lingxia Zhang, Zeng Tu, Jingyu Wang, Tao Hu, Pengzhi Wang, Weili Wu, Qi Liu, Yanlin Zhao, Yan Li, Weijun Chen