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Cardiovascular risk and fruit and vegetable consumption among women in KSA; A cross-sectional study
Mashael K Alshaikh1, Salman Rawaf2, Harumi Quezada-Yamamoto2
1Pharmacy Department, King Saud University Medical City, Riyadh, KSA.
Objectives:
This study aims to assess fruit and vegetable consumption among Saudi women to identify perceived benefits and barriers associated with a healthy diet in cardiovascular disease (CVD) risk prevention and to correlate Framingham risk scores (FRSs) with the perceived barriers.
Methods:
A questionnaire adapted from the Health Beliefs Related to Cardiovascular Disease Scale was administered to women attending a primary care centre in KSA. In addition to descriptive statistics, a chi-square test and multiple linear regression analysis were used to determine the association between perceptions of benefit and barriers with FRS categories and between mean FRS and perceived barriers.
Results:
A total of 503 women were included in this study, and 75% of the women were older than 45 years. More than 60% of women were obese, and 97% consumed 1-3 fruit and vegetable servings per day, whereas only 1.4% consumed fruits and vegetables 5 or more times per day. The majority of women were aware of the benefits of a healthy diet in CVD prevention. No significant difference between FRS and perceived benefits or barriers was observed. Barriers across the low- to high-risk groups included a lack of knowledge about a 'healthy diet', insufficient time to cook, food affordability, and having more important problems. Women who disagreed on barriers had negative beta coefficients for the mean FRS (p < 0.03).
Conclusions:
In this study cohort, fruit and vegetable intake was lower than the recommended guidelines. Despite awareness of the benefits of a healthy diet in CVD prevention, very few women understood the true meaning of 'healthy diet'. A direct association between FRS and perceptions/barriers could not be validated. Perceived barriers could be addressed by integrating innovative educational campaigns to existing models of the Healthy Food Plan.
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