Publications by authors named "M A Rollo"

Background/objectives: For low- and middle- income country (LMIC) settings, a global nutrition transition is rapidly emerging as diets shift, resulting in a dual burden of malnutrition. High quality dietary intake data for these populations is essential to understand dietary patterns contributing to these nutrition issues. New technology is emerging to address dietary assessment challenges; however, it is unknown how researchers conducting studies with LMIC populations or under-served groups in high-income countries adopt technology-assisted methods.

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Background: Women and people diagnosed with diabetes in pregnancy, are recommended to have frequent monitoring and careful management for optimal pregnancy outcomes. This health care management should be supported by a multidisciplinary healthcare team. For individuals living in rural areas, there are increased barriers to healthcare access, with subsequent worse health outcomes compared to those in metropolitan regions.

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Article Synopsis
  • A study was conducted to evaluate the accuracy of four technology-assisted dietary assessment methods in estimating energy and nutrient intake during controlled meals across breakfast, lunch, and dinner.
  • 152 participants completed a 24-hour dietary recall after consuming meals with weights recorded, comparing results from different assessment tools, including ASA24 and Intake24.
  • Findings showed that Intake24, ASA24, and mFR-TA produced more accurate energy estimates than IA-24HR, which had a significant margin of error, indicating variability in the reliability of these assessment methods.
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Lewis/Brønsted acidic deep eutectic solvents (LBDESs) are a recent class of solvents that combine the two types of acidity. In some cases, this synergy leads to enhanced catalytic properties for many reactions and applications. For this reason, it is important to discover more LBDESs.

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Article Synopsis
  • A study aimed to explore how a chatbot could be integrated into a healthy eating website to better engage young adults and promote healthier eating habits.
  • Eighteen interviews were conducted with three groups: dietary behavior experts, young adult website users, and chatbot design experts, utilizing a behavioral change framework for data analysis.
  • Key findings revealed three main potential roles for the chatbot: enhancing healthy eating knowledge, reducing time barriers to healthy eating, and providing support/social engagement, with specific features suggested for each role to optimize user experience and effectiveness.
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