Objective: This study identified the prevalence of Nutrition Facts Panel (NFP) use. It determined the factors associated with NFP use among young adults aged 19-30 years old in the National Capital Region (NCR). Methods: This analytical cross-sectional study collected data using a developed survey questionnaire. It was pretested to 32 respondents and administered online among young adults aged 19 to 30 years old residing in NCR at the time of the study, with a target sample size of 384. Convenience sampling was used to gather study participants. Nominal, ordinal, and interval data were summarized as frequencies and proportions. Mean and standard deviation were computed for ratio and interval data. Multiple logistic regression was used to test for the association to NFP use, reported as odds ratios. Results: Study findings showed that the prevalence of NFP use among the respondents was 50.49% (95% CI: 44.64 – 54.81%). The factors found to be associated to NFP use were: 1) being a primary household food shopper (p-value= 0.029; OR: 1.67; 95% CI: 1.05–2.63), 2) having a special diet (p-value= 0.001; OR: 3.40; 95% CI: 1.62–7.14), 3) using nutritional supplements (p-value= 0.041; OR: 1.51; 95% CI: 1.02–2.25), 4) preparing food at home (p-value= 0.019; OR: 1.64; 95% CI: 1.08–2.49), and 5) engaging in physical activity (p-value< 0.001; OR: 2.05; 95% CI: 1.37–3.06) regularly. Conclusion The findings show the need for improved nutrition education and promotion, especially in the NFP. The study recommended improvement in the study methodology and nutrition education programs. It suggested several research areas and topics to be explored.
Food Labeling ; Diet ; Young Adult

The improvement of food labeling can improve consumers' health awareness, reduce the burden of chronic diseases on the health and economy, and promote the development of the healthy food industry. Disease Risk Reduction Claim has been developed in European Union and the U.S. for over 20 years, with mature management methods and experience, but it is still lacking in China. Learning and drawing on the international management experience of food disease risk reduction claims can assist China to establish food disease risk reduction claims and improve the food health claims and labeling system.
Humans ; United States ; European Union ; Food Labeling ; Food Industry ; China/epidemiology*

The improvement of food labeling can improve consumers' health awareness, reduce the burden of chronic diseases on the health and economy, and promote the development of the healthy food industry. Disease Risk Reduction Claim has been developed in European Union and the U.S. for over 20 years, with mature management methods and experience, but it is still lacking in China. Learning and drawing on the international management experience of food disease risk reduction claims can assist China to establish food disease risk reduction claims and improve the food health claims and labeling system.
Humans ; United States ; European Union ; Food Labeling ; Food Industry ; China/epidemiology*

Objective: To explore the association between the cognition of Nutrition Facts Panel and prepackaged food purchase behavior among residents in six provinces in China. Methods: Using a multi-stage sampling method, 3 002 adults aged 18-70 were selected from the western region (Sichuan), eastern region (Guangdong, Jiangsu, Beijing), central region (Henan), and northeastern region (Heilongjiang) of China from July 2020 to March 2021. Socio-demographic characteristics of participants and their cognition of Nutrition Facts Panel and prepackaged food purchase behavior were collected through questionnaire. A multivariate binary logistic regression model was used to analyze the association between cognition of Nutrition Facts Panel and prepackaged food purchase behavior. Results: The age of 3 002 subjects was (42.3±13.4) years, among which 63.8% (1 914) were female, 66.7% knew the Nutrition Facts Panel, 49.8% would read it when purchasing, 30.7% could understand it, and 56.6% (1 699) bought prepackaged food more than once a week. The results of multivariate analysis showed that after adjusting for relevant confounding factors, compared with the participants knowing but not reading the Nutrition Facts Panel, the group knowing and reading was more likely to buy 11 types of prepackaged food at least once a week (all P<0.05). Compared with the participants reading but not understanding the Nutrition Facts Panel, the group reading and understanding was less likely to buy 11 types of prepackaged food at least once a week (all P<0.05). Conclusion: There was a correlation between cognition of Nutrition Facts Panel and prepackaged food purchase behavior among residents.
Adult ; Female ; Humans ; Male ; Food Labeling/methods* ; Food ; Nutritional Status ; Surveys and Questionnaires ; China ; Health Knowledge, Attitudes, Practice

Objective: This study has been conducted to determine the prevalence of nutrition label use and the factors associated with it among adults in selected communities in Los Baños, Laguna. Methods: This is an analytical cross-sectional study, which conducted face-to-face interview using a developed questionnaire, among 440 adults in the top four barangays with highest population in Los Baños, Laguna using twostage sampling design. In the first stage, three puroks were randomly selected in each barangay, while households were selected using systematic sampling in the second stage. An eligible adult in each selected household was invited to participate in the study. Results: Study findings revealed that nutrition label use among adults in the selected communities was 87.73%. Factors found to be associated with nutrition label use were: 1) intention to use nutrition label (OR: 4.37; 95% CI: 1.77–10.82), 2) enough perceived time-spent on shopping (OR: 2.16; 95% CI: 1.17–4.01), and 3) searching for specific information (OR: 4.77; 95% CI: 2.55–8.93). Conclusion These study findings can be used in promoting and increasing nutrition label use in the country and serve as basis for improvement of nutrition labeling policies. Moreover, this study can serve as a reference in the development and strategy-planning of interventions and programs especially in promoting healthy diets.
Prevalence ; Food Labeling

Adolescent ; Biomarkers ; Blood Pressure ; Body Image ; Body Mass Index ; Calcium ; Education ; Female ; Food Labeling ; Humans ; Korea ; Nutrition Assessment ; Nutrition Surveys ; Obesity ; Thinness ; Triglycerides ; Waist Circumference ; Weight Loss

PURPOSE: To identify causative agents of the drug-induced anaphylaxis (DIA) by using the Korea Institute of Drug Safety & Risk Management-Korea Adverse Event Reporting System (KIDS-KAERS) database (Ministry of Food and Drug Safety) in Korea and to check their labeling information regarding anaphylaxis.METHODS: Among Individual Case Safety Reports from January, 2008 to December 2017, cases of DIA were analyzed for demographics, causative agents and fatal cases resulting in death. The domestic drug labeling, Micromedex and U.S. Food and Drug Administration (FDA) drug package insert, were reviewed to check if the labeling information on suspected causative agents contains anaphylaxis.RESULTS: A total of 4,700 cases of DIA were analyzed. The mean age was 49.85±18.32 years, and 2,642 patients (56.2%) were females. Among 8,664 drugs reported as causative agents, antibiotics (27.4%) accounted for the largest portion. There were 18 fatal cases: antibiotics (7 cases), antineoplastic agents (4 cases) were the major causative drugs for the mortality cases. Of 513 drugs reported as suspected causative agents, 103 (20.1%) did not list anaphylaxis as an adverse effect on domestic drug labeling and 16 (3.1%) did not reflect anaphylaxis in any of 3 adverse drug information.CONCLUSION: Analysis of 10-year data showed that antibiotics were the main cause of DIA and the mortality rate was 0.7%. In 3.1% of suspected drugs, there was no description of anaphylaxis in any of the drug labeling.
Anaphylaxis ; Anti-Bacterial Agents ; Antineoplastic Agents ; Demography ; Drug Labeling ; Female ; Humans ; Korea ; Mortality ; Pharmacovigilance ; United States Food and Drug Administration

Objective: This study identified the prevalence of Nutrition Facts Panel (NFP) use. It determined the factors associated with NFP use among young adults aged 19-30 years old in the National Capital Region (NCR). Methods: This analytical cross-sectional study collected data using a developed survey questionnaire. It was pretested to 32 respondents and administered online among young adults aged 19 to 30 years old residing in NCR at the time of the study, with a target sample size of 384. Convenience sampling was used to gather study participants. Nominal, ordinal, and interval data were summarized as frequencies and proportions. Mean and standard deviation were computed for ratio and interval data. Multiple logistic regression was used to test for the association to NFP use, reported as odds ratios. Results: Study findings showed that the prevalence of NFP use among the respondents was 50.49% (95% CI: 44.64 – 54.81%). The factors found to be associated to NFP use were: 1) being a primary household food shopper (p-value= 0.029; OR: 1.67; 95% CI: 1.05–2.63), 2) having a special diet (p-value= 0.001; OR: 3.40; 95% CI: 1.62–7.14), 3) using nutritional supplements (p-value= 0.041; OR: 1.51; 95% CI: 1.02–2.25), 4) preparing food at home (p-value= 0.019; OR: 1.64; 95% CI: 1.08–2.49), and 5) engaging in physical activity (p-value< 0.001; OR: 2.05; 95% CI: 1.37–3.06) regularly. Conclusion The findings show the need for improved nutrition education and promotion, especially in the NFP. The study recommended improvement in the study methodology and nutrition education programs. It suggested several research areas and topics to be explored.
Food Labeling ; Diet ; Young Adult

The threshold of toxicological concern (TTC), a risk estimation method based on compound structurally-related toxicity data, has been widely used by many countries and regions for the safety risk assessment of food packaging materials and additives etc. Toxicological risk estimation is of importance in the biological evaluation of medical devices. Application of the TTC approach to leachable from medical devices may reduce or replace some unnecessary biocompatibility tests, but consideration should be taken for contact duration and route differences, which could affect the applicability of TTC. We herein focused on analyzing the eligibility of TTC for its further application in biological evaluation of medical devices.
Equipment and Supplies ; standards ; Food Packaging ; standards ; Risk Assessment ; Toxicological Phenomena

With increasing need to prevent serious food allergy reactions, Korean food allergen labeling regulation has been revised repeatedly. This paper aims to summarize current statuses of food allergen labeling in Korea and foreign countries and to analyze the issue of food allergen labeling regulation. Korean food labeling regulation currently requires 19 items and 22 foods to be reported on labels (eggs, milk, buckwheat, peanut, soybean, wheat, mackerel, crab, shrimp, pork, peach, tomato, sulfite, walnut, chicken, beef, squid, shellfish, and pine nut). However, some common food triggers (for example, almond, cashew nut, and kiwi fruit) are not included in the current labeling regulation. Another issue is that the Korean labeling regulation has not yet been fully implemented for nonprepacked foods; thus, consumers still have difficulty in correctly identifying allergenic ingredients in food. It should be assessed whether warning statements for cross-contamination are reasonable. To prevent the occurrence of serious reactions from accidental ingestion, efforts must be made to solve recently raised issues including the items required to be listed on food labels, the system of standards for labeling and display methods.
Anacardium ; Arachis ; Chickens ; Decapodiformes ; Eating ; Fagopyrum ; Food Hypersensitivity ; Food Labeling ; Hypersensitivity ; Juglans ; Korea ; Lycopersicon esculentum ; Milk ; Nuts ; Perciformes ; Prunus dulcis ; Prunus persica ; Red Meat ; Shellfish ; Soybeans ; Triticum