Adulteration in meat products is a widespread issue that could lead to serious threats to public health and religious violations. Technology that offers rapid, sensitive, accurate and reliable detection of meat species is the key to an effectual monitoring and control against meat adulteration. In recent years, high-throughput sequencing-based DNA metabarcoding technology has developed rapidly. With the characteristics of being high-throughput, highly precise and high-speed, this technology can simultaneously identify multiple species in complex samples, thus offering pronounced advantages in the surveillance of adulteration in meat and meat products. Starting with an introduction of the major developments in the high-throughput sequencing technology in the past two decades, this review provides an overview of the technical characteristics and research methods of DNA metabarcoding, summarizes the application of DNA metabarcoding technology in meat adulteration detection over the last few years, discusses the challenges of using DNA metabarcoding technology in the detection of meat adulteration, and provides future prospects on the development of this technology.
DNA ; Food Contamination/analysis* ; High-Throughput Nucleotide Sequencing/methods* ; Meat/analysis* ; Meat Products ; Technology

BACKGROUND/OBJECTIVES: Little is known about the dietary patterns (DPs) of women during pregnancy. The present study aimed to identify the DPs of pregnant Malaysian women and their associations with socio-demographic, obstetric, and anthropometric characteristics. SUBJECTS AND METHODS: This prospective cohort study included 737 participants enrolled in Seremban Cohort Study between 2013 and 2015. Food consumption was assessed using a validated 126-food item semi-quantitative food frequency questionnaire (SFFQ) at four time-points, namely, pre-pregnancy and at each trimester (first, second, and third). Principal component analysis (PCA) was used to identify DPs. RESULTS: Three DPs were identified at each time point and designated DP 1–3 (pre-pregnancy), DP 4–6 (first trimester), DP 7–9 (second trimester) and DP 10–12 (third trimester). DP 1, 4, and 7 appeared to be more prudent diets, characterized by higher intakes of nuts, seeds & legumes, green leafy vegetables, other vegetables, eggs, fruits, and milk & dairy products. DP 2, 5, 8, and 11 had greater loadings of condiments & spices, sugar, spreads & creamer, though DP 2 had additional sweet foods, DP 5 and 8 had additional oils & fats, and DP 11 had additional tea & coffee, respectively. DP 3 and 6 were characterized by high protein (poultry, meat, processed, dairy, eggs, and fish), sugars (mainly as beverages and sweet foods), and energy (bread, cereal & cereal products, rice, noodles & pasta) intakes. DP 9 had additional fruits. However, DP 12 had greater loadings of energy foods (bread, cereal & cereal products, rice, noodles & pasta), sugars (mainly as beverages, and sweet foods), and good protein sources (eggs, nuts, seeds & legumes). Malays were more likely to have lower adherence (LA) for DP 1 and 10 than non-Malays. DP 2, 8, and 11 were more prevalent among Malays than non-Malays. Women with a higher education were more likely to have LA for DP 10, and women with a greater waist circumference at first prenatal visit were more likely to show LA for DP 11. CONCLUSIONS: DPs observed in the present study were substantially different from those reported in Western populations. Information concerning associations between ethnicity, waist circumference and education with specific DPs before and throughout pregnancy could facilitate efforts to promote healthy dietary behavior and the overall health and well-being of pregnant women.
Beverages ; Carbohydrates ; Coffee ; Cohort Studies ; Condiments ; Dairy Products ; Diet ; Edible Grain ; Education ; Eggs ; Fabaceae ; Fats ; Female ; Fruit ; Humans ; Meat ; Milk ; Nuts ; Oils ; Ovum ; Pregnancy ; Pregnant Women ; Principal Component Analysis ; Prospective Studies ; Spices ; Tea ; Vegetables ; Waist Circumference

BACKGROUND/OBJECTIVES: The association between dietary patterns and depression has been reported but the results have been inconsistent. This study was conducted to investigate the association between dietary patterns and depression in middle-aged Korean adults. SUBJECTS/METHODS: The participants were selected from a community-based cohort, a subset of the Korean Genome and Epidemiology Study. Depression was assessed using the Korean version of the Beck Depression Inventory (BDI) and those with a BDI score ≥ 16 were defined as having depression. The subjects' food intakes over the year preceding the survey were estimated by using a validated semi-quantitative food frequency questionnaire. Dietary patterns were identified by using factor analysis. Multiple logistic regression was used to assess the association of dietary pattern with depression. RESULTS: Among 3,388 participants, 448 (13.2%) were identified as having depression. We identified two major dietary patterns: ‘Healthy’ dietary pattern was characterized by high intakes of vegetables, soybeans, mushroom, seaweeds, white fish, shellfish and fruits and a low intake of white rice. ‘Unhealthy’ dietary pattern was characterized by high intakes of white rice, meats, ramen, noodles, bread and coffee and a low intake of rice with other grains. Compared with subjects in the lowest quartiles, those in the highest quartiles of the healthy dietary pattern had a significantly lower odds ratio (OR = 0.59, 95% CI: 0.42–0.82, P for trend = 0.0037) after adjusting for potential confounders. In contrast, the unhealthy dietary pattern was negatively associated with depression (OR = 1.65, 95% CI: 1.19–2.28, P for trend = 0.0021). CONCLUSION: This results suggest that a healthy dietary pattern (rich in vegetables, soybeans, mushroom, seaweeds, white fish, shellfish, and fruits) is associated with low risk of depression. Whereas an unhealthy dietary pattern (rich in white rice, meats, ramen, noodles, bread, and coffee) is associated with a high risk of depression in middle-aged Korean adults.
Adult ; Agaricales ; Bread ; Coffee ; Cohort Studies ; Depression ; Epidemiology ; Factor Analysis, Statistical ; Fruit ; Genome ; Humans ; Logistic Models ; Meat ; Odds Ratio ; Shellfish ; Soybeans ; Vegetables

BACKGROUND: With increasing media coverage of food safety incidents, such as that of clenbuterol residues in pork, food safety has become a major public health concern in China. Rapidly developing online markets attract increasing numbers of Chinese consumers to purchase food on the Internet. However, the quality and safety of food sold online are uncertain and are less reported on. OBJECTIVE: This research aimed to systematically study the quality and safety of chilled pork from wet markets, supermarkets, and online markets in China. RESULTS: The chilled pork samples from online markets were fresher than those from wet markets and supermarkets based on the surface redness (a* value). Chilled pork contained high levels of nutritional elements, especially the magnesium and phosphorus levels in samples from online markets. The levels of heavy metal element residues and veterinary drug residues in all chilled pork samples were within the standards limits. In addition, huge differences existed in the quality and freshness of the chilled pork samples from online markets according to principal component analysis (PCA). CONCLUSIONS Most chilled pork sold in Chinese markets was qualified and safe. It is necessary to establish an effective online market supervision system for chilled pork.
Animals ; China ; Cold Temperature ; Drug Residues/analysis* ; Food Preservation/standards* ; Food Quality ; Food Safety ; Metals, Heavy/analysis* ; Principal Component Analysis ; Red Meat/standards* ; Sus scrofa ; Veterinary Drugs/analysis*

OBJECTIVES: We analyzed dietary patterns using reduced rank regression (RRR), and assessed how well the scores extracted by RRR predicted stroke in comparison to the scores produced by partial least squares and principal component regression models. METHODS: Dietary data at baseline were used to extract dietary patterns using the 3 methods, along with 4 response variables: body mass index, fibrinogen, interleukin-6, and low-density lipoprotein cholesterol. The analyses were based on 5,468 males and females aged 45–84 years who had no clinical cardiovascular disease, using data from the Multi-Ethnic Study of Atherosclerosis. RESULTS: The primary factor derived by RRR was positively associated with stroke incidence in both models. The first model was adjusted for sex and race and the second model was adjusted for the variables in model 1 as well as smoking, physical activity, family and sibling history of stroke, the use of any lipid-lowering medication, the use of any anti-hypertensive medication, hypertension, and history of myocardial infarction (model 1: hazard ratio [HR], 7.49; 95% confidence interval [CI], 1.66 to 33.69; p for trend=0.01; model 2: HR, 6.83; 95% CI, 1.51 to 30.87 for quintile 5 compared with the reference category; p for trend=0.02). CONCLUSIONS: Based primarily on RRR, we identified that a dietary pattern high in fats and oils, poultry, non-diet soda, processed meat, tomatoes, legumes, chicken, tuna and egg salad, and fried potatoes and low in dark-yellow and cruciferous vegetables may increase the incidence of ischemic stroke.
Atherosclerosis* ; Body Mass Index ; Cardiovascular Diseases ; Chickens ; Cholesterol ; Continental Population Groups ; Diet ; Fabaceae ; Fats ; Female ; Fibrinogen ; Humans ; Hypertension ; Incidence ; Interleukin-6 ; Least-Squares Analysis ; Lipoproteins ; Lycopersicon esculentum ; Male ; Meat ; Methods* ; Motor Activity ; Myocardial Infarction ; Oils ; Ovum ; Poultry ; Risk Factors* ; Siblings ; Smoke ; Smoking ; Solanum tuberosum ; Stroke* ; Tuna ; Vegetables

BACKGROUND/OBJECTIVES: This cross-sectional study assessed household food security status and determined its association with diet quality and weight status among indigenous women from the Mah Meri tribe in Peninsular Malaysia. SUBJECTS/METHODS: The Radimer/Cornell Hunger and Food Insecurity Instrument and the Malaysian Healthy Eating Index (HEI) were used to assess household food security status and diet quality, respectively. Information on socio-demographic characteristics and 24-hour dietary recall data were collected through face-to-face interview, and anthropometric measurements including weight, height, and body mass index (BMI) were obtained from 222 women. RESULTS: Majority of households (82.9%) experienced different levels of food insecurity: 29.3% household food insecurity, 23.4% individual food insecurity, and 30.2% fell into the child hunger group. The food-secure group had significantly fewer children and smaller household sizes than the food-insecure groups (P < 0.05). The mean household income, income per capita, and food expenditure significantly decreased as food insecurity worsened (P < 0.001). The food-secure group had significantly higher Malaysian HEI scores for grains and cereals (P < 0.01), as well as for meat, poultry, and eggs (P < 0.001), than the food-insecure groups. The child-hunger group had significantly higher fat (P < 0.05) and sodium (P < 0.001) scores than the food-secure and household food-insecure groups. Compared to the individual food-insecure and child-hunger groups, multivariate analysis of covariance showed that the food-secure group was significantly associated with a higher Malaysian HEI score while the household food-insecure group was significantly associated with a higher BMI after controlling for age (P < 0.025). CONCLUSIONS: The majority of indigenous households faced food insecurity. Food insecurity at the individual and child levels was associated with lower quality of diet, while food insecurity at the household level was associated with higher body weight. Therefore, a substantial effort by all stakeholders is warranted to improve food insecurity among poorer households. The results suggest a pressing need for nutritional interventions to improve dietary intake among low income households.
Body Mass Index ; Body Weight ; Child ; Cross-Sectional Studies ; Diet* ; Eating ; Edible Grain ; Eggs ; Family Characteristics* ; Female ; Food Supply* ; Health Expenditures ; Humans ; Hunger ; Malaysia* ; Meat ; Multivariate Analysis ; Ovum ; Poultry ; Sodium

OBJECTIVES: We analyzed dietary patterns using reduced rank regression (RRR), and assessed how well the scores extracted by RRR predicted stroke in comparison to the scores produced by partial least squares and principal component regression models.METHODS: Dietary data at baseline were used to extract dietary patterns using the 3 methods, along with 4 response variables: body mass index, fibrinogen, interleukin-6, and low-density lipoprotein cholesterol. The analyses were based on 5,468 males and females aged 45–84 years who had no clinical cardiovascular disease, using data from the Multi-Ethnic Study of Atherosclerosis.RESULTS: The primary factor derived by RRR was positively associated with stroke incidence in both models. The first model was adjusted for sex and race and the second model was adjusted for the variables in model 1 as well as smoking, physical activity, family and sibling history of stroke, the use of any lipid-lowering medication, the use of any anti-hypertensive medication, hypertension, and history of myocardial infarction (model 1: hazard ratio [HR], 7.49; 95% confidence interval [CI], 1.66 to 33.69; p for trend=0.01; model 2: HR, 6.83; 95% CI, 1.51 to 30.87 for quintile 5 compared with the reference category; p for trend=0.02).CONCLUSIONS: Based primarily on RRR, we identified that a dietary pattern high in fats and oils, poultry, non-diet soda, processed meat, tomatoes, legumes, chicken, tuna and egg salad, and fried potatoes and low in dark-yellow and cruciferous vegetables may increase the incidence of ischemic stroke.
Atherosclerosis ; Body Mass Index ; Cardiovascular Diseases ; Chickens ; Cholesterol ; Continental Population Groups ; Diet ; Fabaceae ; Fats ; Female ; Fibrinogen ; Humans ; Hypertension ; Incidence ; Interleukin-6 ; Least-Squares Analysis ; Lipoproteins ; Lycopersicon esculentum ; Male ; Meat ; Methods ; Motor Activity ; Myocardial Infarction ; Oils ; Ovum ; Poultry ; Risk Factors ; Siblings ; Smoke ; Smoking ; Solanum tuberosum ; Stroke ; Tuna ; Vegetables

Objective: To study the willingness and influence factors related to "centralized slaughtering, fresh poultry listing and marketing" strategy, among the household chefs, and provide reference for government to adjust and optimize the strategy on avian influenza prevention. Methods: According to the geographical characteristics and regional functions, 6 'monitoring stations' were selected from 12 residential districts of Guangzhou, respectively. Another 21 meat markets which selling live poultry, were selected in each station and 5 household chefs of each market were invited to attend a face to face interview. Basic information, personal cognitive, willingness and influencing factors to the policy were under study. Univariate and multivariate logistic regression methods were used. Results: A total of 664 household chefs underwent the survey and results showed that the rate of support to the "centralized slaughtering, fresh poultry listing and marketing" strategy was 44.6% (296/664). Results from the multi-factor logistic regression showed that those household chefs who were males (OR=1.618, 95% CI: 1.156-2.264, P=0.005), having received higher education (OR=1.814, 95% CI: 1.296-2.539, P=0.001), or believing that the existence of live poultry stalls was related to the transmission of avian influenza (OR=1.918, 95% CI: 1.341-2.743, P<0.001) were factors at higher risk. These household chefs also intended to avoid the use of live poultry stalls (OR=1.666, 95%CI: 1.203-2.309, P=0.002) and accept the "centralized slaughtering, fresh poultry listing and marketing" strategy. Conclusion: Detailed study on this subject and, setting up pilot project in some areas as well as prioritizing the education programs for household chefs seemed helpful to the implementation of the 'freezing-fresh poultry' policy.
Animals ; Attitude to Health ; China ; Humans ; Influenza A Virus, H7N9 Subtype ; Influenza in Birds ; Influenza, Human/prevention & control* ; Male ; Marketing ; Meat-Packing Industry ; Multivariate Analysis ; Pilot Projects ; Poultry/virology* ; Surveys and Questionnaires

PURPOSE: The purposes of this study were to investigate food consumption practices and analyze factors that influence customer satisfaction of an HACCP applied restaurant in a highway service area. METHODS: A total of 207 customer responses were used for data analysis. Statistical analyses were conducted using the SPSS program (ver. 22.0) for χ²-test, Pearson correlation analysis, and multiple regression analysis. RESULTS: Reasons for visiting the highway area were using the restroom (86.0%), purchasing of meals or snacks (70.1%), taking a rest (58.5%), and shopping (3.4%) and selection attributes of food sold in the highway service area were food taste (48.8%), food safety (33.3%), and waiting time for meal (10.7%). According to the results of the survey, udon (66.2%) was the most preferred meal, followed by instant noodles (56.0%), kimbap (50.7%), pork cutlet (38.2%), and bibimbap (29.0%). In addition, coffee (73.4%) was the most preferred among snacks and beverages, followed by beverages (58.9%), walnut cake (53.1%), mineral water (52.2%), and hotbar (52.2%). Satisfaction evaluation scores of foods sold in the highway service area were highest for appropriate portion size, followed by food safety, menu variety, food taste, and reasonable price. Overall customer satisfaction scores regarding the restaurant in the highway service area was 3.24 out of 5 points on average. According to the results of the multiple regressing analysis, food taste (p < 0.001) and reasonable price (p < 0.01) had significant positive effects on overall customer satisfaction. CONCLUSION: To enhance customer satisfaction, restaurant managers in the highway service area should implement HACCP, improve food taste, and set up a proper price for food sold at the restaurant in the highway service area.
Beverages ; Coffee ; Food Analysis ; Food Safety ; Hazard Analysis and Critical Control Points* ; Juglans ; Meals ; Mineral Waters ; Portion Size ; Red Meat ; Restaurants* ; Snacks ; Statistics as Topic

BACKGROUND/OBJECTIVES: This study aimed to investigate the association of dietary patterns with overweight risk and all-cause mortality in pediatric cancer patients. SUBJECTS/METHODS: Prospective cohort study was undertaken; 83 cancer patients admitted to the pediatric cancer ward at a university hospital in Seoul were included and followed for obesity and death over 24 months. Food consumption data were collected from patients using validated meal order sheets for breakfast, lunch, and dinner at the pediatric cancer ward over 3 days. Using principal component analysis, three dietary patterns were derived from 29 food groups. RESULTS: Eighteen deaths occurred among the patient cohort during the follow-up period. The “spicy & fried meat and fish” dietary pattern was positively associated with overweight risk at both baseline [odds ratio (OR) = 4.396, 95% confidence interval (CI) = 1.111-17.385, P for trend = 0.023] and after 6 months (OR = 4.088, 95% CI = 1.122-14.896, P for trend = 0.025) as well as all-cause mortality (hazard ratios = 5.124, 95% CI = 1.080-24.320, P for trend = 0.042), when comparing the highest and lowest tertiles after adjusting for covariates. The “fish, egg, meat, and fruits & vegetables” dietary pattern was associated with lower overweight risk after 24 months (OR = 0.157, 95% CI = 0.046-0.982, P for trend = 0.084). CONCLUSION: The results imply that dietary patterns might be associated with weight gain and premature death among pediatric cancer patients.
Breakfast ; Child* ; Cohort Studies ; Diet ; Follow-Up Studies ; Fruit ; Humans ; Lunch ; Meals ; Meat ; Mortality* ; Mortality, Premature ; Obesity ; Overweight* ; Ovum ; Principal Component Analysis ; Prospective Studies ; Seoul ; Weight Gain