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Skip search results from other journals and go to results- 19 Journal of Medical Internet Research
- 11 JMIR Formative Research
- 11 JMIR mHealth and uHealth
- 5 JMIR Public Health and Surveillance
- 4 JMIR Research Protocols
- 3 JMIR Pediatrics and Parenting
- 2 Interactive Journal of Medical Research
- 1 Asian/Pacific Island Nursing Journal
- 1 JMIR Human Factors
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- 0 iProceedings
- 0 JMIR Medical Informatics
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
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- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
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- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
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Food marketing is a major driver of adolescent and childhood obesity [12-16]. Food companies spend more than US $1.8 billion on youth-directed marketing [17,18], which primarily promotes products that are energy-dense and nutrient-poor [19-22]. Such exposure is concerning given the large body of evidence showing that viewing food advertising increases children’s preferences for promoted foods and brands, caloric intake, purchases, and requests for advertised products [2,16,23-26].
J Med Internet Res 2025;27:e53188
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A voluntary National Healthy Food and Drink Policy (the Policy) was released in New Zealand in 2016 [12] to encourage hospitals to provide healthier food and drink options for staff and visitors (not inpatients).
JMIR Form Res 2025;9:e60447
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This collaboration adopted the International Network for Food and Obesity/Non-Communicable Disease Research, Monitoring and Action Support (INFORMAS) food promotion module’s television protocol [35], which harmonized data collection procedures to enable country comparisons on key variables measuring children’s exposure to unhealthy food marketing in television.
JMIR Pediatr Parent 2024;7:e63410
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Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review
Measuring food and nutrient intake is foundational in nutrition research, dietary surveillance, and clinical practice [1]. Traditional methods, such as 24-hour dietary recalls, food diaries, and food frequency questionnaires, have been the cornerstones of such endeavors [2]. However, these self-reported tools frequently encounter issues associated with recall error, where individuals inadvertently omit, underreport, or exaggerate certain food items or quantities [3].
J Med Internet Res 2024;26:e54557
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Exposure to unhealthy food and beverage marketing is a major contributor to excessive weight gain in youth [1,2]. Youth exposed to food and beverage advertising (“ads”) demonstrate more preferences for advertised foods, higher purchase intention, and increased food consumption compared to youth exposed to nonfood ads [3-9]. Data examining food marketing on digital platforms (eg, social media and gaming) also show influences on food preferences and consumption [10-17].
JMIR Public Health Surveill 2024;10:e62807
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Nutrition-Related Mobile Apps in the Spanish App Stores: Quality and Content Analysis
We based the selection of apps on the following criteria: (1) a minimum rating of 4 of 5 stars; (2) available in the Spanish language; (3) freemium (free of charge); (4) last update after January 2022; (5) more than 500 reviews; (6) more than 500,000 downloads; and (7) dietary advice (eg, diet plan or meal planning), food advice (eg, cooking process or characteristics of food), or nutritional information of food or drinks (eg, nutrient content or recommended intake).
JMIR Mhealth Uhealth 2024;12:e52424
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The sessions varied in duration, spanning from 10 minutes to 8 hours, and the provided food items included cake, cheese, filet mignon, and boiled eggs, among other foods.
Interact J Med Res 2024;13:e52167
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Thus, increased access to food outlets enabled by online food delivery has the potential to further exacerbate existing obesogenic food environments. Rising consumption of out-of-home foods contributing to unhealthy diets has been observed in countries including Australia [13], China [14,15], and the United Kingdom [16].
It is therefore critical to examine existing food environments and changes resulting from the digitalization of food environments.
JMIR Public Health Surveill 2024;10:e59924
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A Deep Learning–Based Rotten Food Recognition App for Older Adults: Development and Usability Study
As such, older adults are in danger of being exposed to food poisoning if they ingest rotten food items due to the difficulty detecting whether the items have gone bad. Food poisoning is caused by the ingestion of toxic substances, as well as bacteria contained in rotten food items [7]. To address this danger, researchers have developed and evaluated tools to detect rotten food items [8,9] for unspecified users or specific users, such as people with olfactory impairment.
JMIR Form Res 2024;8:e55342
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Nutrients and Foods Recommended for Blood Pressure Control on Twitter in Japan: Content Analysis
If a user matched 2 or more attributes, they were categorized into all applicable categories (eg, 1 user could be a doctor and food and nutrition-related users). Users not matching all the listed attributes were classified as “general public.”
Tweets containing recommendations for foods that can help control blood pressure were categorized into food groups using the Food Composition Database provided by the Japanese Ministry of Education, Culture, Sports, Science, and Technology [18].
J Med Internet Res 2024;26:e49077
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