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Adherence to the United States department of agriculture dietary recommendations pre- and during the coronavirus disease-19 pandemic among pregnant women in Arab countries
(2022)
During pregnancy, woman's diet is one of the most preeminent factors affecting mother and child's health. Prior to the coronavirus disease-19 (COVID-19) pandemic, inadequate maternal diet and low adherence to dietary ...
Dietary intake and lifestyle practices of eastern mediterranean postpartum women before and during COVID-19 pandemic: An internet-based cross-sectional survey
(FRONTIERS MEDIA SA, 2022)
BackgroundDuring the lockdown period, a substantial group of these women reported lifestyle changes. AimThe aim of the study is to characterize the dietary patterns, intake and the adherence to the United States Department ...
Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study
(F1000 Research Ltd, 2022)
Background: Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and ...
Dietary intake and lifestyle practices of eastern mediterranean postpartum women before and during COVID-19 pandemic: An internet-based cross sectional survey.
(Frontiers, 2022)
Background: During the lockdown period, a substantial group of these women reported lifestyle
changes. Aim: The aim of the study is to characterize the dietary patterns, intake and the adherence to
the United States ...
Perspectives and practices of dietitians with regards to social/mass media use during the transitions from face-to-face to telenutrition in the time of COVID-19: A cross-sectional survey in 10 Arab countries
(Frontiers, 2023)
During the COVID-19 pandemic, most healthcare professionals switched from face-to-face clinical encounters to telehealth. This study sought to investigate the dietitians’ perceptions and practices toward the use of social/mass ...
Machine learning techniques for the identification of risk factors associated with food insecurity among adults in Arab countries during the COVID‑19 pandemic
(BioMed Central, 2023)
Background A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has ...
