2 research outputs found

    Exploration of the nutrition knowledge among general population: multi—national study in Arab countries

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    Abstract Background Knowing what to eat and realizing the significance of healthful eating habits are among the important steps to promoting eating behavior. The current study aims to assess the nutrition knowledge (NK) among a convenient sample in four different countries, determine the association between different demographic factors and NK, and investigate the need for future interventions on nutrition in the four selected countries. Methods A cross-sectional multi-national survey study among a convenient sample of 8,191 subjects from Egypt, Syria, Saudi Arabia, and Jordan who undertook surveys between January 2019 and January 2020. A pre-tested interview questionnaire was utilized for data collection from study participants. It included three sections: i) Sociodemographic characteristics:. ii). Section two included twenty-one questions related to NK.. iii). Section three included one question about NK sources. Results About three-quarters showed inadequate nutrition knowledge (73.1%). Youth (15–24 yrs.) were more dependent on social media, with 87% using it as a primary source of NK, while adults (≥ 25 yrs.) demonstrated that 43% of them used social media. In contrast, TV was more prominent among them, with participants’ characteristics such as living with parents, body mass index, and country of residence showing no association with NK. However, female sex, education, and reading nutrition articles are significantly correlated with adequate knowledge (p < 0.001). Significant predictors of satisfactory knowledge were age, sex, education, living with parents, and reading nutrition articles. Conclusion The study revealed low levels of NK indicating an urgent need to implement educational programs to promote nutrition knowledge. As NK is a modifiable determinant of diet intake and can positively impact the need for developing strategies in counselling and raising awareness among the general population to improve their health status

    SARS-CoV-2 vaccination modelling for safe surgery to save lives: Data from an international prospective cohort study

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    Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population
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