Hati̇ce Merve Bayram
Biographic Data
| ID | 8650244 |
|---|---|
| NAME | Hati̇ce Merve Bayram |
| GIVEN NAMES | Hati̇ce Merve |
| FAMILY NAME | Bayram |
| SIGNATURE | BAYRAM H M |
| AFFILIATIONS | İstanbul Gelişim Üniversitesi |
| ORCID | 0000-0002-7073-2907 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Craving under pressure
Background: Shift-work is linked to irregular eating patterns and greater ultra-processed food (UPF) intake, potentially driven by hedonic hunger and psychological distress. This study aimed to examine the relationship between hedonic hunger, UPF consumption, and mental health among shift-working healthcare professionals. Methods: In this cross-sectional analytical observational study, 326 healthcare shift-workers (66.9% female) completed questio…
Drivers of ultra-processed food consumption in emerging adults
Ultra-processed foods (UPF) consumption is rising globally, particularly among emerging adults. University students, navigating independent living, are vulnerable to unhealthy eating behaviors influenced by obesogenic environments, hedonic hunger, and poor food choices. This cross-sectional study aimed to examine the relationship between obesogenic environment perception, hedonic hunger, food choice tendencies, and UPF consumption among universit…
AI showdown
Purpose This study aims to assess the effectiveness of different AI models in accurately aggregating information about the protein quality (PQ) content of food items using four artificial intelligence (AI) models -– ChatGPT 3.5, ChatGPT 4, Bard AI and Bing Chat. Design/methodology/approach A total of 22 food items, curated from the Food and Agriculture Organisation (FAO) of the United Nations (UN) report, were input into each model. These items w…
Effects of Cornus mas L. on anthropometric and biochemical parameters among metabolic associated fatty liver disease patients
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Effects of Cornus mas L. on anthropometric and biochemical parameters among metabolic associated fatty liver disease patients
AI showdown
Purpose This study aims to assess the effectiveness of different AI models in accurately aggregating information about the protein quality (PQ) content of food items using four artificial intelligence (AI) models -– ChatGPT 3.5, ChatGPT 4, Bard AI and Bing Chat. Design/methodology/approach A total of 22 food items, curated from the Food and Agriculture Organisation (FAO) of the United Nations (UN) report, were input into each model. These items w…
Craving under pressure
Background: Shift-work is linked to irregular eating patterns and greater ultra-processed food (UPF) intake, potentially driven by hedonic hunger and psychological distress. This study aimed to examine the relationship between hedonic hunger, UPF consumption, and mental health among shift-working healthcare professionals. Methods: In this cross-sectional analytical observational study, 326 healthcare shift-workers (66.9% female) completed questio…
Drivers of ultra-processed food consumption in emerging adults
Ultra-processed foods (UPF) consumption is rising globally, particularly among emerging adults. University students, navigating independent living, are vulnerable to unhealthy eating behaviors influenced by obesogenic environments, hedonic hunger, and poor food choices. This cross-sectional study aimed to examine the relationship between obesogenic environment perception, hedonic hunger, food choice tendencies, and UPF consumption among universit…
Consumer Attitudes and Food Labeling (3 works) · Culinary Culture and Tourism (2 works) · Food consumption (2 works) · Anthropometry (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Baseline (sea) (1 works) · Biology (1 works) · Clinical trial (1 works) · Computer Science (1 works)