Objectives Away-from-home (AFH) eating has been associated with poor diet quality and health outcomes like obesity in developed countries. AFH eating is also emerging in lowincome countries, but its influence on overall diet quality is under-researched. We examined the prevalence of AFH eating and its influence on the dietary patterns of Ugandan adults. Methods This cross-sectional study employed a web-based survey to interview Ugandan adults aged 18 ~ 65 years. A qualitative food frequency questionnaire was used to assess the food group intake, which was then converted into daily intake frequencies. Principal component analysis was used to derive dietary patterns. The participants were then classified based on the tertiles (T) of dietary pattern scores. Results About 75% of the 375 participants reported eating AFH. The young men, food insecure, and urban dwellers were more likely to eat AFH 5 times/week. Three dietary patterns emerged; the animal-based, beverage pattern; the high fat, sweet pattern; and the traditional, plant-based pattern. Participants who frequently ate AFH were 2.85 times and 5.64 times more likely to be in the second and third tertiles, respectively, of the animalbased, beverage pattern compared to the rare eaters (OR = 2.85, 95% CI: 1.35-6.06 for T2 vs T1; and OR = 5.64, 95% CI: 2.50-12.73 for T3 vs T1). The odds of being in the second tertile of the high fat, sweet pattern was significantly higher for frequent AFH eaters compared to the rare eaters (OR = 2.61, 95% CI:1.23-5.52). Conclusions The prevalence of AFH eating was high. Frequent AFH eating was common among the young, male, food insecure, and urban dwellers, and was associated with unhealthy dietary patterns.
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OBJECTIVES An association between dietary patterns and mental health in children has been suggested in a series of studies, yet detailed analyses of dietary patterns and their effects on ADHD (attention deficit hyperactivity disorder) are limited. METHODS We included 4569 children who had dietary intake data as part of the CHEER (Children's Health and Environmental Research) study conducted nationwide from 2005 to 2010. We assessed ADHD (Attention Deficit Hyperactivity Disorder) by the DuPaul's ADHD Rating Scales and dietary intake by a semi-quantitative food frequency questionnaire. Using intake data, we constructed five dietary patterns: “Plant foods & fish,â€â€œSweets,â€â€œMeat & fish,â€â€œFruits & dairy products,†and “Wheat based.†RESULTS: The overall proportion of ADHD was 12.3%. Boys (17.8%) showed a higher rate of ADHD than girls (6.5%). The total intake of calories (85 kcal) and plant fat (2g) in the ADHD group was significantly higher than that of the normal group. ADHD was significantly negatively associated with dietary habits such as having breakfast and meal frequency, and positively associated with eating speed, unbalanced diet, overeating, and rice consumption. Regarding dietary patterns, the “Sweets†category was relevant to high ADHD risk (OR 1.59, 95% CI: 1.18, 2.15 for Q5 vs. Q1) in a linear relationship. An inverse, non-linear association was found between “Fruits & dairy products†and ADHD (OR 0.55, 95% CI: 0.39, 0.76 for Q4 vs. Q1). CONCLUSIONS Our study confirms both positive and negative associations between diet and ADHD in elementary school age children. Moreover, linear or nonlinear associations between diet and ADHD draw attention to the possible threshold role of nutrients. Further studies may consider characteristics of diet in more detail to develop better intervention or management in terms of diet and health.
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OBJECTIVES This study was performed to verify the validity and judgment criteria setting of a health status assessment tool based on dietary patterns for middle-aged women. METHODS A total of 474 middle-aged women who visited the Comprehensive Medical Examination Center at Hanmaeum Hospital in Changwon were enrolled (IRB 2013-0005). The validity was verified using clinical indicators for the diagnosis of metabolic syndrome (MS), and it was used to set the criteria for the tool. A logistic regression analysis was performed for validation. The area under-receiver operation (AUC), sensitivity, specificity, and Youden Index were calculated through ROC curve analysis. Statistical analysis was performed by SPSS 21, and p value < 0.05 was considered to be statistically significant. RESULTS The mean score of the group with no MS (73.3 points) was significantly higher compared to the group with MS (65.7 points) (p < 0.001). An analysis of the association between the tool scores and risk of MS showed a 0.15-fold reduction in the risk of MS every time the tool's score increased by one point. As the result of the ROC curve analysis, the assessment reference point was set to 71 points, indicating 77.0% sensitivity and 61.0% specificity. Risk of MS was significantly higher in the group with a score of less than 71.0 than a group with more than 71 points (OR=5.28, p < 0.001). CONCLUSIONS This study was the first attempt to develop a health status assessment tool based on the dietary patterns for middle-aged women, and this tool has proven its usefulness as an MS assessment tool through the application of middle-aged women in the field of health screening.
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OBJECTIVES This study was performed to develop an assessment tool for middle aged women's health status based on dietary patterns, which will have practical applications in the working field of health and hygiene, aiming at improving the middle aged women's quality of life through their health improvement. METHODS As a first step, a literature review was conducted and the original data of '2008~2009 Korea Health and Nutrition Examination Survey' were reanalyzed. This analysis identified 65 preliminary questions that may be relevant to the study. After verifying the content validity by experts, the 65 questions were reduced into 51 questions. In order to secure higher validity of the candidate items, verification of their clinical validity was conducted among women aged between 45 and 60 years. Finally, an assessment tool was developed by applying weight and scoring. RESULTS Selected 51 questions were used to verify clinical validity and the results showed that 20 questions were relevant, nine questions ('regular meal time', 'regular amount of meal', 'intake frequency of dairy products', 'intake frequency of fruits', 'intake frequency of meat products', 'intake frequency of high cholesterol foods', 'intake frequency of salty foods', 'appetite', 'eat breakfast everyday') were related to dietary life. Eleven other questions ('self-rated health status', 'deep sleep', 'smoking', 'frequency of drinking', 'stress levels', 'health-related fitness levels', 'pounding of the heart', 'strange feelings on the skin', 'interfere with daily life', 'menopause will bring you a chance to see the life in a different perspective', and 'body mass index') were selected as valid questions. For the response scale for each question, 5 point Likert scale was used to make total 100 point score. CONCLUSIONS This study is the first attempt to develop a health status assessment tool for middle aged women based on their dietary patterns. We conclude that this tool is expected to be a useful and practical tool in the field.
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OBJECTIVES The aim of this study was to assess how nutrient intakes are related to risk factors for metabolic syndrome according to dietary patterns in the middle-aged adults. METHODS The subjects (n = 187; 47 men, 140 women) consisted of middle-aged adults over 30 years old in Ilsan area. The metabolic syndrome was diagnosed according to the data collected from each subject, including anthropometric measurements and blood analyses. The dietary patterns were derived from the average of two-day dietary intake data. RESULTS Factor analysis identified three major dietary patterns which were "Meats and alcohol", "Mixed grains, vegetables and fruits", and "Rice, Kimchi and fish & shellfish". The daily intakes of energy, protein, and sodium increased across quartiles of "Meats and alcohol" pattern scores (p < 0.05), whereas the intakes of carbohydrates, potassium, calcium, and fiber increased across quartiles of "Mixed grains, vegetables and fruits" pattern scores (p < 0.001). The "Meats and alcohol" pattern scores were positively correlated with protein and sodium intakes but inversely correlated with carbohydrates, fiber and potassium intakes which were adjusted for age, sex and energy (p < 0.05). The highest quartile pattern score of "Meats and alcohol" pattern had elevated odds ratio of abdominal obesity and metabolic syndrome (p < 0.05). The risk of hypertriglyceridemia decreased in the highest quartile of "Mixed grains, vegetables and fruits" pattern (OR 0.35, 95% CI 0.12-1.00). CONCLUSIONS Our results suggested that reducing the consumption of meat and alcohol along with increasing fruits, vegetables and mixed grains would be helpful for preventing the metabolic syndrome and chronic diseases.
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The purpose of this study was to explore dietary patterns and compare dietary patterns using cluster and factor analysis in Korean adults. This study analyzed data of 4,182 adult populations who aged 30 and more and had all of socio-demographic, anthropometric, and dietary data from 2005 Korean Health and Nutrition Examination Survey. Socio-demographic data was assessed by questionnaire and dietary data from 24-hour recall method was used. For cluster analysis, the percent of energy intake from each food group was used and 4 patterns were identified: "traditional", "bread, fruit & vegetable, milk", "noodle & egg", and "meat, fish, alcohol". The "traditional" pattern group was more likely to be old, less educated, living in a rural area and had higher percentage of energy intake from carbohydrates than other pattern groups. "Meat, fish, alcohol" group was more likely to be male and higher percentage of energy intake from fat. For factor analysis, mean amount of each food group was used and also 4 patterns were identified; "traditional", "modified", "bread, fruit, milk", and "noodle, egg, mushroom". People who showed higher factor score of "traditional" pattern were more likely to be elderly, less educated, and living in a rural area and higher proportion of energy intake from carbohydrates. In conclusion, three dietary patterns defined by cluster and factor analysis separately were similar and all dietary patterns were affected by socio-demographic factors and nutrient profile.
The purpose of this study was to compare dietary patterns, dietary behaviors and life styles before and after breast cancer surgery in Korea. The subjects were 220 females who underwent surgery for stage I-III breast cancer at general hospitals. Food intake, eating habits, snacks, eating-out, use of nutritional supplements and healthy foods, and drinking and smoking habits were studied using a questionnaire. SAS program was used for statistical analysis of the data. The results are as follows : 1) Most subjects were housewives aged more than 40 years. 2) After breast cancer surgery, intakes of fruits and vegetables were increased and those of meat, salty and spicy foods were decreased. 3) There was a significant difference in takes of caffeine beverages, snacks, fast foods and instant foods before and after breast cancer surgery. 4) There was a significant difference in meal regularity and skipping breakfast before and after breast cancer surgery. 5) The frequency of eating-out was decreased and low-fat foods, such as Japanese foods, were preferred after breast cancer surgery. 6) Nutritional supplements and natural healthy foods were used more after breast cancer surgery. 7) Most subjects were non-smokers and drank little alcohol and the rate of regular drinking significantly decreased after breast cancer surgery. Therefore, there was a significant difference in dietary patterns and behaviors resulting form breast cancer. Further more, dietary factors may be a contributing factor in the incidence at breast cancer in Korea.