It is suggested that evaluation of diet quality may be a great indicator of nutritional assessment. The aim of this study was to evaluate the diet quality of children and adolescents based on nutrient and food group intake and Diet Quality Index-International (DQI-I). This survey was conducted through questionnaires and diet record survey to 477 students (elementary school students; n = 131, middle school students; n = 136, and high school students; n = 210). The results showed that high school students were significantly more often to skip breakfast compared with the other groups. The middle and high school students consumed significantly higher intakes of food and energy compared to the elementary school students. Also the number of nutrients in Index of Nutritional Quality (INQ) < 1.0 of high school students were significantly higher than that of elementary and middle school students. The Korean's dietary diversity score (KDDS) of elementary school, middle school and high school students were 4.1, 4.4 and 4.3 respectively. The average DQI-I of elementary school, middle school and high school students were 66.7, 65.5, and 63.7, respectively and there was significant difference. Also, middle school students showed to have higher score in variety and adequacy category compared with the other groups, and elementary school students appeared to have higher score in moderation category. In conclusion, high school students appeared to have unhealthy dietary habits in terms of high frequency of skipping breakfast and lower INQ and DQI-I score compared to the elementary school and middle school students. Therefore, the proper dietary management should be needed for high school students.
Diet quality index DQI) offers a new way of comparing eating habits across populations and across countries. Nutrients and food consumption data from 100 elderly Korean women aged 65 and older were collected in Seoul or Kyunggi-do, Korea by the 24 hour recall method. Diet quality index (DQI) was computed for 1049 elderly women (65 and older) from the 1994-1996 Continuing Survey of Food Intakes by Individuals (CSFII) in the US according to US dietary guidelines, and applied to the diet of elderly Korean women for purposes of comparison. A modified 16-point DQI awarded 2 points each for moderate consumption of fat ($\leq$ 30% energy), saturated fat ($\leq$ 10%), cholesterol ($\leq$ 300 mg/day), sodium ($\leq$ 2400 mg/day), and protein ($\leq$ 100% RDA), adequate intakes of carbohydrate ($\qeq$50% energy) and calcium ($\qeq$ 100% RDA), and plenty of fruits and vegetables ($\qeq$ 5 servings). Criteria were based on US dietary guidelines. Partial scores were given if subjects were close to meeting these cutoff points. Diets with $\leq$ 300 mg cholesterol/day were reported by 97% or the Korean sample and 82% of the American sample, while 90% of the Koreans and 42% of the Americans met the goal of $\leq$ 30% of energy from fat, and 98% of the Koreans and 47% of American met the recommendation of $\leq$ 10% of energy from saturated fat. In contrast, only 8% of the Korean sample met the sodium recommendation of $\leq$ 2400 mg sodium per day, whereas 54% of the American subjects met this goal. The mean DQI scores were 10.1 for the elderly American women and 11.3 for the elderly Korean women. Overall, the elderly Korean diet was more consistent with the US dietary guidelines than the elderly American diet.
This study was performed to assess the relationship between diet quality and general characteristics, stress, exercise habits, and nutritional knowledge score in the postmenopausal women. The data of dietary intakes were obtained using food frequency questionnaires which were collected from 151 postmenopausal women in urban area. Diet quality was assessed by INQ(index of nutritional quality), MAR(mean adequacy ratio), DDS(dietary diversity score), DVS(dietrary variety score), DQI(diet quality index). The results are summarized as follows. The mean age of the subjects was 59.9 years old. The means of height, weight, and BMI were 154.7cm, 57.2kg and 23.9 respectively. The subjects who did not exercise regularly were 70.9% and those who excercised at least once a week were 29.1%. The subjects who had regular meal time were 69.5% and those who ate breakfast regularly were 72.6%. More than 2/3 of subjects had regular eating behavior. Overall dict quality was significantly(p < 0.05) associated with INQ, MAR, DDS, DQI. However, there was no significant association between income level and diet quality. In conclusion, it would be beneficial to provide nutritional education included dietary diversity, dietary variety, dietary guideline, and adequate flood amount, to prevent chronic degenerative disease and maintain healthful life in the postmenopausal women.
The purpose of this study was to investigate the association between dietary quality and the risk of coronary heart disease (CBD) among Korean men by a case-control study. Methods: The cases were 108 male patients with a first acute myocardial infarction or a new diagnosis of angina pectoris who were admitted to a university teaching hospital in Seoul. Controls were 142 age-matched patients admitted to the departments of ophthalmology and orthopedic surgery at the same hospital. Dietary information was assessed by a nutritionist using a semiquantitative food frequency questionnaire (FFQ), and dietary quality index (DQI) scores were calculated. Results: The intakes of total fat and cholesterol and body mass index (BMI) in cases were significantly higher than those in controls. The mean DQI scores were 8.6 for the cases and 9.4 for the controls. A higher DQI, which was indicative of a better quality diet, was inversely associated with the risk of CHD when comparing the highest to lowest quatiles, but borderline significant (odd ratios 0.60, 95% confidence interval 0.25-1.39, P for trend = 0.05). Conclusions: Our findings suggest that better dietary quality may reduce the risk of CHD among Korean men.
The purpose of this study was to evaluate the dietary behavior, nutrient and food intake status and dietary quality based on nutrient and food group intake and Diet Quality Index-International (DQI-I) according to breakfast eating status in female university students. The survey was conducted using questionnaires and 3-day dietary records for 181 female university students residing in Seoul, Gyunggi, and Gangwon. The subjects were divided into two groups by frequency of breakfast eating: skipping breakfast (frequency of eating breakfast under 4 times/week, n=69) and eating breakfast (frequency of eating breakfast over five times/week, n=112). The skipping-breakfast group was significantly lower in its frequency of having lunch than that of the eating-breakfast group. There was no significant difference of energy intake between the two groups; however, the intake of carbohydrate, fiber, folate, vitamin C, vitamin E, Ca and Fe in the skipping-breakfast group was significantly lower than those in the eating-breakfast group. There was no significant difference in Korean's Dietary Diversity Score (KDDS) between the skipping-breakfast group ($4.65{\pm}0.56$) and eating-breakfast group ($4.73{\pm}0.50$). The average DQI-I of the skippingbreakfast group ($56.96{\pm}9.04$) was significantly lower than that of the eating-breakfast group ($61.32{\pm}7.99$). In conclusion, female university students with a high frequency of skipping breakfast may have a lower diet quality and DQI-I score. Therefore, in support of proper dietary management, it is necessary to promote and support breakfast eating.
BACKGROUND/OBJECTIVES: As the prevalence of chronic diseases has risen, the need for straightforward diagnostic tools for monitoring nutrition status to improve nutrition counseling and disease prevention has likewise increased. This study developed an easily usable dietary behavior pattern diagnosis checklist and investigated its correlation with dietary quality index. SUBJECTS/METHODS: A draft dietary pattern evaluation tool was generated by analyzing previous studies. The draft questionnaire comprised 61 questions for assessing dietary habits. A survey was administered to 320 adults (19 to 64 years old) using the dietary pattern evaluation tool and 24-hour-recall method between March and May of 2014 in Jeonbuk province and the metropolitan area. Principal component analysis with varimax rotation was performed to identify dietary behavior patterns. Nutritional analysis was conducted using CAN-Pro 4.0, and the Diet Quality Index-International (DQI-I) was calculated to assess dietary quality. The correlation between dietary pattern scores and DQI-I scores was also analyzed. RESULTS: The factor analysis resulted in a total of 34 questions mapped to four main dietary behavior patterns: "high fat and calorie" pattern (12 questions), "overeating/binge" pattern (nine questions), "dietary impulse" pattern (eight questions), and "unbalanced food intake" pattern (five questions). The four dietary behavior patterns were negatively correlated with DQI-I adequacy and total scores (P < 0.01). CONCLUSIONS: The dietary pattern evaluation tool developed in this study can be used to diagnose a client's dietary behavior problems and is available as a nutrition counseling tool in the field.
This study was performed to assess diet quality in the postmenopausal women. The data of dietary intakes were obtained using food frequency questionnaires which were collected from 151 postmenopausal women in urban area. We evaluated nutrient intake and diet quality. Diet quality was assessed by NAR(nutrient adequacy ratio), FGIP(food group intake pattern), DDS(dietary diversity score), DVS(dietary variety score), FGS(food group score), DQI(diet quality index). Nutrient intakes of the subjects were close to Korean RDA. Nutrient composition of the diet(in percentage of total energy) was 64% carbohydrate, 15% protein, and 19% protein, and 19% total fat, that was close to 65 : 15 : 20. NAR of most nutrients, except vitamin A, E, were higher than 0.75 and MAR was 0.88. NAR and MAR of the subjects in theis study were higher than those of the subjects of rural area in other studies. The subjects who consumed the five food groups were 60.9%. The mean of DDS was 4.5. The subjects who consumed more than 61 dish items during a month were 61.5%. The mean of DVS was 62.4 and it was significantly higher in the elder age group. 67.6% of the subjects were below FGS of 12. The mean of FGS was 10.6 and few subjects consumed serving numbers of each food groups which were recommended for Koreans. 55.0% of the subjects were DQI scores of 0, 1, and 2. The mean of DQI was 2.3 and few subjects followed the five dietary guidelines for Korean.
BACKGROUND/OBJECTIVES: Diet quality scores or indices, based on dietary guidelines, are used to summarize dietary intake into a single numeric variable. The aim of this study was to examine the association between the modified diet quality index for Koreans (DQI-K) and mortality among Health Examinees-Gem (HEXA-G) study participants. SUBJECTS/METHODS: The DQI-K was modified from the original diet quality index. A total of 134,547 participants (45,207 men and 89,340 women) from the HEXA-G study (2004 and 2013) were included. The DQI-K is based on eight components: 1) daily protein intake, 2) percent of energy from fat, 3) percent of energy from saturated fat, 4) daily cholesterol intake, 5) daily whole-grain intake, 6) daily fruit intake, 7) daily vegetable intake, and 8) daily sodium intake. The association between all-cause mortality and the DQI-K was examined using Cox proportional hazard regression models. Hazard ratios and confidence intervals were estimated after adjusting for age, gender, income, smoking status, alcohol drinking, body mass index, and total energy intake. RESULTS: The total DQI-K score was calculated by summing the scores of the eight components (range 0-9). In the multivariable adjusted models, with good diet quality (score 0-4) as a reference, poor diet quality (score 5-9) was associated with an increased risk of all-cause mortality (hazard ratios = 1.23, 95% confidence intervals = 1.06-1.43). Moreover, a one-unit increase in DQI-K score resulted in a 6% higher mortality risk. CONCLUSIONS: A poor diet quality DQI-K score was associated with an increased risk of mortality. The DQI-K in the present study may be used to assess the diet quality of Korean adults.
Elevated serum concentration of inflammation markers is known as an independent risk factor of metabolic syndrome (MS) and dietary intake is an important factor to control MS. The purpose of this study was to investigated the hypothesis that inflammatory indices are associated with dietary intake and diet quality index-international (DQI-I) in subjects with MS. A cross-sectional study was conducted on 156 men and 73 postmenopausal women with MS, defined by three or more risk factors of the modified Adult Treatment Panel III criteria. Serum levels of high sensitive C-reactive protein (hs-CRP), adiponectin were examined and nutrients intake and DQI-I were assessed using a semiquantitative food frequency questionnaire. The total DQI-I score was significantly higher in female subjects ($65.87{\pm}9.86$) than in male subjects ($62.60{\pm}8.95$). There was a positive association between hs-CRP and polyunsaturated fatty acid intake (p < 0.05) and a negative association between adiponectin and lipid (p < 0.05), total sugar (p < 0.01), and total fatty acids (p < 0.05). When the subjects were divided into 5 groups by quintile according to serum adiponectin and hs-CRP level, there was no association between DQI-I score and hs-CRP levels. Moderation score of DQI-I was significantly higher in highest quintile group than the lower quintile groups. Therefore, our results provide some evidence that dietary intake and diet quality are associated with inflammation markers and dietary modification might be a predictor to decrease risk for metabolic syndrome complications. However further research is needed to develop the dietary quality index reflecting the inflammatory change by considering the dietary habit and pattern of Koreans.
The purpose of this study was to compare the differences in the quality of dietary and life across age groups of Korean adults. According to life cycle, four age groups (20~29, 30~49, 50~64, ≥65) were created. Anthropometric indices showed significant differences according to age group (p<0.001). Energy intake significantly decreased according to age group as a result of decreased protein and fat intake (p<0.001). The intake levels of minerals, vitamins, and dietary fiber per 1,000 kcal were the lowest in the 20~29 age group (p<0.001). Whereas saturated fatty acids, MUFA, and PUFA intake levels were the highest for those in the 20~29 age group (p<0.001). The quality of dietary (DQI-I) increased with age group, but the quality of life (EQ-5D index) decreased (p<0.001). The quality of dietary showed 5.8% explanation power on the quality of life (p<0.001). Additionally, diet moderation was shown as having a negative effect, but the diversity and balance of diets had a positive effect on the quality of life. By age group, the relationship between quality of dietary and quality of life was the highest in ≥65 age group. These results suggest that practical dietary education is needed from the 20's to ensure the quality of healthy life for the elderly.
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