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Impact of dining out on nutritional intake and metabolic syndrome risk factors: data from the 2011 Korean National Health and Nutrition Examination Survey

Published online by Cambridge University Press:  09 February 2015

Chorong Oh
Affiliation:
Department of Nutrition and Health Care, Kyungsung University, 309, Suyeong-ro, Nam-gu, Busan608-736, South Korea
Hak-Seon Kim
Affiliation:
Department of Foodservice Management, Kyungsung University, 309 Suyeong-ro, Nam-gu, Busan608-736, South Korea
Jae-Kyung No*
Affiliation:
Department of Nutrition and Health Care, Kyungsung University, 309, Suyeong-ro, Nam-gu, Busan608-736, South Korea
*
*Corresponding author: J.-K. No, fax +82 51 611 2448, email [email protected]
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Abstract

The frequency of dining out has rapidly increased; however, the independent associations between dining out, metabolic syndrome risk factors and nutritional status have not been well characterised. The aim of the present study was to investigate the associations between dining out, nutritional intakes and metabolic syndrome risk factors among Korean adults, using data from the 2011 Korean National Health and Nutrition Examination Survey. Frequency of dining out was significantly associated with intake of nutrients such as energy, water, protein, fat, carbohydrate, Ca, Na, vitamin A and carotene. Especially, the result revealed that Korean adults had insufficient Ca intake compared with the Korean reference intake (700 mg). As the frequency of dining out increased, so did energy intake. In addition, individuals who dined out seven or more times per week experienced a 64 % higher likelihood of blood pressure abnormalities, an 88 % higher likelihood of waist circumference abnormalities, and a 32 % higher likelihood of low HDL-cholesterol levels than those who dined out less than once per week. BMI was not associated with the frequency of dining out. Our findings suggest that strategies to modify dining-out behaviour could reduce metabolic syndrome risk factors via improved nutrition.

Type
Full Papers
Copyright
Copyright © The Authors 2015 

Income growth, consumer preference shifts and a transitioning economy have dramatically changed the Korean diet( Reference Johns and Pine 1 ). In particular, the frequency of dining out has risen rapidly as a result of numerous factors, including the participation of females in economic activities, changes in the Korean lifestyle, such as getting more leisure time as a result of the 5 d workweek, and a desire for convenience( Reference Kang, Hong and Choi 2 ). Consequently, the restaurant industry has expanded greatly, reporting a large increase in sales: from 28 trillion won in 1996 to 42 trillion won in 2003, and 70 trillion won in 2009 in Korea( Reference Kang, Hong and Choi 2 ). Recently, dining-out behaviour has been recognised as an important risk factor for nutritional imbalance and metabolic diseases, such as obesity and diabetes( Reference Boon and Clydesdale 3 ). In the USA, food prepared outside the home, in places such as fast food and casual-dining restaurants, is generally higher in energy and less healthful than food prepared at home( Reference Kim, Lee and Han 4 ). In light of the effect that dining-out behaviour has on health, adolescents should be aware of their own dining-out behaviour. A national survey from the USA( Reference Story and Stang 5 ) has found that the Western pattern of diet, characterised by frequent dining out, a high intake of red and processed meats, refined grains, high-fat dairy products, and sweets and desserts, is associated with an increased risk of metabolic disorders, CHD, cancer and even mortality. A study conducted in European countries has reported that frequent dining out may lead an individual to exceed dietary recommendations for fat, Na, carbohydrates and other nutrients; at the same time, it may lead to a low intake of important nutrients( Reference Orfanos, Naska and Trichopoulos 6 ). To promote optimum health in Koreans aged 20 years and above, the Dietary Reference Intakes for Koreans (KDRI) recommend three servings of grains, two servings of milk/milk products, four servings of meats and beans, two servings of fruits, five servings of vegetables, and four servings of fat and sweets per d( Reference Paik 7 ). In the globalised foodservice market, consumers are mainly interested in healthy and well-being food. In addition, they are more interested in fresh ingredients as well as the dietary profiles of meals. A few studies have demonstrated an association between dining-out frequency and BMI or weight gain( Reference Bezerra, Curioni and Sichieri 8 ), and no studies have yet focused on the association between dining out, metabolic syndrome risk factors and nutritional status. Therefore, in the present study, we investigated the patterns of dining out and metabolic syndrome risk factors in adults aged 20 years and over using data from the 2011 Korean National Health and Nutrition Examination Survey (KNHANES) to identify the potentially serious effects of dining out on nutritional status and metabolic syndrome risk factors among Korean adults.

Methods

Study sample

The data used in the present study was acquired from the 2011 KNHANES that samples non-institutionalised Korean civilians. In brief, the 2011 KNHANES consisted of four components: a health interview; a health behaviour survey; a health examination; a nutrition survey( Reference Song and Joung 9 ). Using a stratified, multi-stage probability sampling design, a total of 10 589 individuals were selected for the 2011 KNHANES( 10 ). Subjects aged 20 years or older who had completed the health examination and the nutrition survey were included in the present study. Exclusion criteria included implausibly low or high daily energy intake reports ( < 2092 or >20 920 kJ/d). This resulted in a final sample of 5500 subjects.

Ethics

All the participants in the KNHANES were informed that they had been randomly chosen to participate in the survey with the right to refuse to be involved in further analyses, and signed an informed consent form. As the KNHANES data are available publicly, ethical approval was not required for the present study.

Measurements

Waist circumference (WC), height and weight were measured using standardised techniques and calibrated equipment. BMI was calculated as weight (kg)/height2 (m2). Blood pressure was measured using a sphygmomanometer (Baumanometer; W.A. Baum Co., Inc.) with the subject in a sitting position. First, three consecutive blood pressure measurements were performed on all subjects at 5 min intervals, and then the average of the second and third measurements was used in the analysis. Blood samples were collected in the morning after the subjects had fasted for at least 8 h. Fasting insulin levels were measured by immunoradiometric assay (Biosource) using a g-counter (1470 Wizard; PerkinElmer). Total cholesterol, TAG and HDL-cholesterol concentrations were analysed in a central, certified laboratory using a Hitachi Automatic Analyzer 7600. A general questionnaire was administered to collect basic demographic and health-related information. Smoking status was assessed by asking whether participants were current smokers. Age (in years) was classified into six categories: 20s, 30s, 40s, 50s, 60s and 70+. Marital status was divided into three categories: married; widowed/divorced; single. Family income was categorised as: < 500 000 won; 500 000–1 500 000 won; >1 500 000 won. The highest educational level achieved was categorised as: elementary school or less; middle school; high school; college. Occupational status was classified as: non-physical; physical; ‘other’. Subjective body image was categorised as: underweight; normal; overweight. BMI was categorised as: underweight (BMI < 18·5 kg/m2); normal (18·5 ≤ BMI ≤ 24·9 kg/m2); overweight (BMI >25·0 kg/m2). Diabetes status was categorised as: normal; prediabetes; diabetes. Physical activity data were gathered by asking whether participants had engaged in moderate-intensity physical activity 5 d or more over the previous week that had lasted for 20 min or more. Moderate-intensity physical activity includes sporting activities such as swimming, doubles tennis, volleyball, badminton and table tennis for at least 30 min once, more than 5 d per week except for just walking and professional activities such as carrying light stuff and activities that lead to a little more shortness of breath or difficult to breathe than usual. Moderate-intensity physical activity was defined by Haskell et al. ( Reference Haskell, Lee and Pate 11 ). A question on dining-out frequency asked about meals prepared outside the home, including restaurant food, delivery food, take-out food, foodservice, etc. Dining-out frequency was measured based on a 1-week period. Dietary intake was measured using the single 24 h dietary recall method. A trained staff instructed the respondents to recall and describe all foods and beverages consumed in the previous day. Food models and measuring bowls, cups and spoons were used to assist in estimating portion sizes. The method used herein was obtained from the 2011 KNHANES( 10 ).

Definition of metabolic syndrome risk factors

We employed the original criteria for the metabolic syndrome proposed by the National Cholesterol Education Program Adult Treatment Panel III. However, we used ethnicity-specific WC values, as proposed by the International Diabetes Federation (IDF). Obesity was assessed based on the BMI cut-offs proposed by the WHO. Abdominal obesity was defined as WC >90 cm in males and >80 cm in females; hypertriacylglycerolaemia as TAG ≥ 1·7 mmol/l; low HDL-cholesterol as < 1·0 mmol/l in males and < 1·3 mmol/l in females; hypertension as blood pressure ≥ 130/85 mmHg; hyperglycaemia as fasting plasma glucose level ≥ 6·11 mmol/l( Reference Song and Joung 9 ).

Statistical analysis

All statistical analyses were conducted using SPSS 20.0 for Windows (SPSS, Inc.). The associations between socio-economic characteristics and dining-out frequency were assessed by the χ2 test. General linear models were constructed to assess the associations between dining-out frequency and nutrient intakes. Logistic regression models were used to calculate OR with 95 % CI for the associations between dining-out frequency and metabolic syndrome risk factors. An association was considered statistically significant if the P value was < 0·05.

Results

Table 1 presents the socio-economic characteristics stratified by dining-out frequency. Most subjects (70·1 %) dined out once or more per week. Dining-out frequency was significantly associated with sex, age, family income, education level, occupation, subjective body image, smoking status, marital status and diabetes status. Males dined out more frequently than females (P< 0·001), and younger people dined out more frequently than older people (P< 0·001). In terms of family income, lower income showed different distribution trends from the other two groups (500 000–1 500 000 and >1 500 000). Respondents who were employed in physical occupations or those who were non-smokers, married, had an obese body image, or had higher levels of education dined out more frequently.

Table 1 Percentage of the Korean adults with given socio-economic characteristics, stratified by dining-out frequency

* P values were obtained from the χ2 test.

1000 Korean won equals to 1 US dollar.

Including students, housewives and the unemployed.

§ ‘Yes’ indicates subjects who were engaged in moderate-intensity physical activity 5 d or more over the previous week that lasted for 20 min or more.

Underweight, BMI < 18·5 kg/m2; normal, BMI 18·5–24·9 kg/m2; overweight, BMI >25·0 kg/m2.

Prediabetes, fasting glucose level 5·6–6·9 mmol/l; diabetes, diagnosed with diabetes or fasting glucose level ≥ 7·0 mmol/l.

Table 2 presents the nutrient intakes stratified by dining-out frequency. There were significant associations between nutrition intakes and dining out. As dining-out frequency increased, so did energy intake. Males aged 65 years or over took less energy than recommended (KDRI: 8368 kJ), as did females aged 65 years or over (KDRI: 6694 kJ). In individuals aged 65 years or over, an increase in dining-out frequency was not associated with an increase in energy intake. In males aged 20–65 years, energy intake was adequate (KDRI: 9205–10 878 kJ), though energy intake in females aged 20–65 years was insufficient (KDRI: 7531–8786 kJ). Water, fat and Na intake increased with dining-out frequency. Ca intake was significantly lower than recommended (KDRI: 700 mg) in the sample as a whole.

Table 2 Nutrient intakes among the Korean adults, stratified by dining-out frequency (Mean values and standard deviations)

KDRI, Dietary Reference Intakes for Koreans; RE, retinol equivalents.

* P values were obtained from general linear models that were adjusted for age, sex, smoking and diabetes.

Values were obtained from the 2010 KDRI.

Adjusted OR and 95 % CI for metabolic syndrome risk factors according to dining-out frequency are presented in Table 3. Individuals who dined out seven or more times per week exhibited a 64 % higher likelihood of blood pressure abnormalities, an 88 % higher likelihood of WC abnormalities, and a 32 % lower likelihood of low HDL-cholesterol levels than those who dined out less than once per week. BMI was not associated with dining-out frequency. We investigated other criteria for the metabolic syndrome, as proposed by the WHO, the IDF and the updated ATP III, but found no associations with dining out (data not shown).

Table 3 Metabolic syndrome risk factors among the Korean adults, according to dining-out frequency (Odds ratios and 95 % confidence intervals)

* P< 0·05, ** P< 0·01, *** P< 0·001.

Logistic models used to calculate the OR were adjusted for age, sex, smoking and diabetes.

>130/85 mmHg.

§ BMI ≥ 23·0 kg/m2.

Waist circumference >90 cm in males and >80 cm in females.

¶ ≥ 6·11 mmol/l.

†† TAG ≥ 1·7 mmol/l.

‡‡ < 1·0 mmol/l in males and < 1·3 mmol/l in females.

Discussion

The present study found that dining-out frequency was positively associated with metabolic syndrome risk factors such as increasing the risk of the abnormalities of blood pressure, WC and HDL-cholesterol in Koreans aged 20 years and older, and intake of nutrients such as energy, water, protein, fat, carbohydrate, Ca, Na, vitamin A and carotene. Especially, the result revealed that Korean adults had insufficient Ca intake compared with the Korean reference intake (700 mg). Due to lifestyle changes in Korea, especially dining-out behaviour and a shift towards Westernised and convenient foods, it is possible that nutritional status is deteriorating at the national level. Recently, concerns about the associations between the nutritional quality of meals outside the home and metabolic diseases have increased; dining-out behaviour is recognised as an important factor in disease prevention and making people's lives healthier. However, to date, few studies have focused on dining out and health factors. The goal of the present study was to draw people's attention to their dining-out behaviour. We found that dining-out frequency was positively associated with metabolic syndrome risk factors. However, we did not identify a positive association between dining-out frequency and obesity or BMI. In the past, BMI has been used as a surrogate for obesity; however, it is now generally considered an insensitive index due to the fact that individuals of similar weight may have considerably different levels of fat or muscle mass( Reference McCrory, Fuss and Hays 12 ). Our findings suggest that WC is a more important metabolic syndrome risk factor than BMI.

We also found that subjects with a greater frequency of dining out had higher intakes of energy, fat and Na. One interesting finding in the present study was that, in contrast to younger individuals, increased energy intake was not directly proportional to dining-out frequency in participants aged 65 years and over (data not shown). This may be attributed to changes in taste that occur with age or the impairment of teeth and body functions. In the globalised food service market, increased elderly consumers play a key role in setting food industry trends such as more healthy and well-being food.

The Korean Nutrition Society revised the KDRI in 2010 and released a new nutritional model, the Food Balance Wheel( 13 ), to replace the Food Pyramid. It emphasises the importance of water and protein intake, and exercise( Reference Jeon, Kim and Kim 14 ). We found that water and protein intake increased with dining-out frequency, but there were no significant associations between dining out and exercise. According to Wing( Reference Wing 15 ), people who participate in regular physical activity practise better health maintenance and are better at adhering to a healthy diet. We found that frequency of dining out was significantly associated with intake of nutrients such as energy, water, protein, fat, carbohydrate, Ca, Na, vitamin A and carotene. Especially, the result revealed that Korean adults had insufficient Ca intake compared with the Korean reference intake (700 mg). These findings are consistent with those of a recent national survey, which revealed serious Ca deficiency among Koreans and demonstrated its association with chronic disease( Reference Jeon, Kim and Kim 14 ). Issues regarding the nutritional imbalance of food prepared outside the home have been discussed in several studies. Such food is higher in energy( Reference Nielsen, Siega-Riz and Popkin 16 ), saturated fat, Na( Reference Guthrie, Lin and Frazao 17 ) and sugar content( Reference Kearney, Hulshof and Gibney 18 ), and lower in Ca, fibre, Fe and vitamin content( Reference Guthrie, Lin and Frazao 17 ). The recognition that foods prepared outside the home are more energy dense and less healthful than those prepared at home may motivate individuals to modify their dining-out behaviour.

Dining out may become a major determinant of nutritional problems if the trend towards eating outside the home continues. According to the 2001 KNHANES, the percentage of people who ate outside the home more than once per d increased from 20·5 % in 1998 to 33·2 % in 2001( Reference Kang, Hong and Choi 2 ). Here, we showed that the percentage of Korean adults who dined out once or more per week was 70·1 %. We also found that older respondents and respondents with diabetes dined out less frequently. This suggests that both ageing and perception of health risk, related to diabetes, influence dining-out behaviour. A report by Kim et al.( Reference Kim, Ahn and No 19 ) has suggested that individuals who perceive themselves to be susceptible to diseases are more likely to engage in healthy behaviour. In the present study, subjective body image influenced dining-out behaviour, but BMI did not. Factors that influence restaurant choices and dietary intake outside the home depend on the characteristics of diners( Reference Lyu and Kwak 20 ). According to Kang et al. ( Reference Kang, Hong and Choi 2 ) and Kim( Reference Kim 21 ), when dining out, people select their meals based on preferences (41·4 %) and taste (29·8 %). Kang et al. ( Reference Kang, Hong and Choi 2 ) found that nutrition and family recommendations are not influential factors in any age group. However, several studies have shown that older people are more likely to select meals based on recommendations from others, such as family members, social inputs and social/economic reasons, rather than based on their own preferences( Reference Payette and Shatenstein 22 ). Therefore, the food selected at different types of restaurants could determine the implications of eating outside the home, in terms of dietary intake and metabolic syndrome risk. When dining out, people should attempt to modify their dining behaviour. For example, they can choose less energy-dense foods and reduce portion sizes, the frequency of snacks, and dietary fat( Reference Kruger, Blanck and Gillespie 23 ). According to a report by Zarkin et al. ( Reference Zarkin, Dean and Mauskopf 24 ) and Hyon & Kim( Reference Hyon and Kim 25 ), proper use of nutrition labelling is one of the important tools that change dietary behaviour of individuals by proper food choices, and influence to reduce obesity. Based on this finding, we could conjecture that using nutrition labelling through proper education is more important than recognition only. Also, consumers should consider their frequency of dining out and how their favourite dish is healthy.

As the global prevalence of the metabolic syndrome has increased with the frequency of dining out, it is important to develop tips for selecting healthy meals away from home and to teach healthy eating patterns. Larson et al. ( Reference Larson, Neumark-Sztainer and Laska 26 ) reported that nutritionally imbalanced meals prepared outside the home may have a considerable influence on health, as well as overall diet quality. The strength of the present study is that it was the first study to determine the nutritional effects of dining out, and to investigate the associations between dining out and metabolic syndrome risk factors. We also reported that a large percentage of Korean adults who dine out have problematic nutritional intakes; more studies on this subject are warranted. Individuals who dine out can use the KDRI to assess the nutritional composition of menus. However, we analysed the answers to a KNHANES questionnaire that addressed dining-out behaviour. Unfortunately, the survey did not include the detailed information about dining-out patterns such as type of restaurants, menu, price and brands. So we could not analyse more profoundly the dining-out patterns of Korean adults. This may limit the interpretation of the present results. Another possible limitation was the use of the 24 h dietary recall for estimating nutrition intake. Memory errors may result in over- or under-reporting of food intake, which may have an impact on the accuracy of our data.

We also discussed the current status of dining-out behaviour measurement and evaluation. In doing so, we sought to identify high-risk groups; further studies will be conducted to develop effective solutions that target dining-out behaviour. Relevant policies may include implementation of expanded nutrition labelling in Korea and behavioural modification strategies that help people modify their eating and physical activity behaviours.

The present study suggests that dining-out behaviour in Korea should be modified. Dining out less frequently or choosing nutritionally balanced meals may protect against metabolic syndrome risk factors. The present study may provide individuals who dine out and health educators with useful insights for modifying dining-out behaviour. The present study also provides a baseline that will inform intervention programmes, and can be used to assess future trends in the relationship between the nutritional quality of meals prepared outside the home and the risk of metabolic diseases.

Acknowledgements

The present study was financially supported by the Kyung Sung University of Korea, Research Fund (grant no. 2014).

The authors' contributions are as follows: C. O., J.-K. N. and H.-S. K. designed the study; C. O. carried out the data analysis and the writing of the manuscript; J.-K. N. and H.-S. K. advised on the data analysis. All authors contributed to the revising of the paper, and also had full access to the study data and took responsibility for the integrity and the accuracy of the data analysis.

There are no conflicts of interest.

References

1 Johns, N & Pine, R (2002) Consumer behaviour in the food service industry: a review. Int J Hosp Manag 21, 119134.CrossRefGoogle Scholar
2 Kang, Y-W, Hong, K-E, Choi, H-J, et al. (2007) Dining-out behaviors of residents in Chuncheon city, Korea, in comparison to the Korean National Health and Nutrition Survey 2001. Nutr Res Pract 1, 5764.CrossRefGoogle Scholar
3 Boon, CS & Clydesdale, FM (2005) A review of childhood and adolescent obesity interventions. Crit Rev Food Sci Nutr 45, 511525.Google ScholarPubMed
4 Kim, TH, Lee, EK & Han, E (2013) Food away from home and body mass outcomes: taking heterogeneity into account enhances quality of results. Nutrition 30, 10151021.CrossRefGoogle Scholar
5 Story, M & Stang, J (2005) Guidelines for Adolescent Nutrition Services. http://www.epi.umn.edu/let/pubs/adol_book.shtm (accessed 21 October 2014).Google Scholar
6 Orfanos, P, Naska, A, Trichopoulos, D, et al. (2007) Eating out of home and its correlates in 10 European countries. The European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 10, 15151525.CrossRefGoogle ScholarPubMed
7 Paik, HY (2008) Dietary Reference Intakes for Koreans (KDRIs). Asia Pac J Clin Nutr 17, 416419.Google ScholarPubMed
8 Bezerra, IN, Curioni, C & Sichieri, R (2012) Association between eating out of home and body weight. Nutr Rev 70, 6579.CrossRefGoogle ScholarPubMed
9 Song, Y & Joung, H (2012) A traditional Korean dietary pattern and metabolic syndrome abnormalities. Nutr Metab Cardiovasc Dis 22, 456462.CrossRefGoogle ScholarPubMed
10 Korean National Health and Nutrition Examination Survey (KNHANES) (2011) Korean National Health and Nutrition Examination Survey. https://knhanes.cdc.go.kr (accessed accessed June 2014).Google Scholar
11 Haskell, WL, Lee, I-M, Pate, RR, et al. (2007) Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation 116, 10811093.Google Scholar
12 McCrory, MA, Fuss, PJ, Hays, NP, et al. (1999) Overeating in America: association between restaurant food consumption and body fatness in healthy adult men and women ages 19 to 80. Obes Res 7, 564571.CrossRefGoogle Scholar
13 The Korean Nutrition Society (2011) Korean dietary intakes: food balance wheels. http://www.kns.or.kr/ (accessed June 2014).Google Scholar
14 Jeon, M-S, Kim, YH & Kim, H-S (2012) Nutritional quality assessment of elementary school lunches of South Korea and the United States. J Culinary Sci Technol 10, 129144.Google Scholar
15 Wing, RR (1999) Physical activity in the treatment of the adulthood overweight and obesity: current evidence and research issues. Med Sci Sports Exerc 31, 547552.CrossRefGoogle ScholarPubMed
16 Nielsen, SJ, Siega-Riz, AM & Popkin, BM (2002) Trends in food locations and sources among adolescents and young adults. Prev Med 35, 107113.CrossRefGoogle ScholarPubMed
17 Guthrie, JF, Lin, B-H & Frazao, E (2002) Role of food prepared away from home in the American diet, 1977–78 versus 1994–96: changes and consequences. J Nutr Educ Behav 34, 140150.Google ScholarPubMed
18 Kearney, J, Hulshof, K & Gibney, M (2001) Eating – patterns-temporal distribution, converging and diverging foods, meals eaten inside and outside of the home – implications for developing FBDG. Public Health Nutr 4, 693698.CrossRefGoogle ScholarPubMed
19 Kim, HS, Ahn, J & No, JK (2012) Applying the health belief model to college students' health behavior. Nutr Res Pract 12, 551558.CrossRefGoogle Scholar
20 Lyu, E & Kwak, T (2001) Consumer opinions on fast foods and food service: noodles chin restaurants. Korean J Diet Culture 16, 330340.Google Scholar
21 Kim, S (2004) Factors influencing salaried employees' choice of a restaurant in Jinju. Korean J Food Culture 19, 8393.Google Scholar
22 Payette, H & Shatenstein, B (2005) Determinants of healthy eating in community-dwelling elderly people. Can J Public Health 96, 3035.Google ScholarPubMed
23 Kruger, J, Blanck, HM & Gillespie, C (2008) Peer reviewed: dietary practices, dining out behavior, and physical activity correlates of weight loss maintenance. Prev Chronic Dis 5, 1125.Google Scholar
24 Zarkin, GA, Dean, N, Mauskopf, JA, et al. (1993) Potential health benefits of nutrition label changes. Am J Public Health 83, 717724.CrossRefGoogle ScholarPubMed
25 Hyon, SM & Kim, JW (2007) Improvement of dietary attitudes of elementary students by nutrition labeling education. J Community Nutr 12, 168177.Google Scholar
26 Larson, N, Neumark-Sztainer, D, Laska, MN, et al. (2011) Young adults and eating away from home: associations with dietary intake patterns and weight status differ by choice of restaurant. J Am Diet Assoc 111, 16961703.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Percentage of the Korean adults with given socio-economic characteristics, stratified by dining-out frequency

Figure 1

Table 2 Nutrient intakes among the Korean adults, stratified by dining-out frequency (Mean values and standard deviations)

Figure 2

Table 3 Metabolic syndrome risk factors among the Korean adults, according to dining-out frequency† (Odds ratios and 95 % confidence intervals)