Nutrition Label Use and Its Relation to Dietary Intake among Chronic Disease Patients in Korea: Results from the 2008–2009 Fourth Korean National Health and Nutrition Examination Survey (KNHANES-IV)
- Seung Guk Park1, Hyeon Ju Kim2, Young-Min Kwon3, Mi Hee Kong2,
- Received January 28, 2014 Accepted September 17, 2014
- ABSTRACT
-
- Background
- Nutrition label reading is helpful in attaining a healthy diet. Nutrition label use and its related factors have been studied in many Korean articles, but their research samples were the general population and not chronic disease patients. This study aimed to explore the use of nutrition labels and its relation to dietary intake among chronic disease patients in Korea.
- Methods
- A total of 3160 respondents aged≥20 years from the 2008–2009 Fourth Korean National Health and Nutrition Examination Survey (KNHANES-IV) participated in the study. Their chronic medical conditions included hypertension, hyperlipidemia, coronary artery disease, diabetes and/or stroke and they were interviewed regarding their use of nutrition labels. Nutrition intake was also estimated by 24-hour dietary recalls.
- Results
- Overall, 10.4% of the chronic disease patients reported to using nutrition labels. The nutrients they looked at first were total calories, fat and cholesterol. Factors related to reading nutrition labels were relatively higher education, high body mass index and lower frequency of alcohol intake in males and relatively younger age and higher education in females. Nutrition label users consumed lower total calories, protein and fat in the male CAD group, lower total calories and carbohydrate in both diabetes and total groups and lower total calories and fiber in the female stroke group.
- Conclusions
- Our study found that, in Korea, a significantly lower rate of patients with chronic disease read nutrition labels. Strategies need to be developed to improve clinical application of nutrition labels in this population.
Table 1.
Comparison of characteristics between nutrition label users and non-users in chronic disease patients
| Male (n=1329, N=3.62) | Female (n=1831, N=3.65) | |||||
|---|---|---|---|---|---|---|
| Users (SE) | Non-users (SE) | Pa | Users (SE) | Non-users (SE) | Pa | |
| Age, y | 49.41 (1.61) | 56.99 (0.54) | <0.001 | 52.55 (0.76) | 64.05 (0.38) | <0.001 |
| Area,% | ||||||
| Urban | 86.8 (4.8) | 75.6 (2.8) | 0.062 | 83.8 (3.8) | 73.1 (2.8) | 0.015 |
| Rural | 13.2 (4.8) | 24.4 (2.8) | 16.2 (3.8) | 26.9 (2.8) | ||
| Monthly incomeb, % | ||||||
| Low (0–0.7) | 15.0 (4.1) | 29.7 (1.8) | 0.116 | 19.2 (3.4) | 47.7 (1.7) | <0.001 |
| Middle low (0.7–1.25) | 24.1 (5.8) | 21.3 (1.4) | 21.0 (3.2) | 20.2 (1.2) | ||
| Middle high (1.25–2.0) | 29.4 (6.3) | 22.7 (1.6) | 29.1 (3.7) | 16.2 (1.2) | ||
| High (more than 2.0) | 31.5 (6.3) | 26.4 (1.8) | 30.7 (3.7) | 16.0 (1.5) | ||
| Educational level,% | ||||||
| Less than middle school | 9.2 (3.1) | 41.4 (2.0) | <0.001 | 40.5 (4.4) | 79.8 (1.5) | <0.001 |
| high school | 37.7 (6.5) | 30.9 (1.7) | 39.9 (4.1) | 16.0 (1.2) | ||
| College or higher | 53.1 (6.2) | 27.7 (2.0) | 19.7 (3.5) | 4.2 (0.7) | ||
| Alcohol use,% | ||||||
| No | 18.8 (4.7) | 22.0 (1.3) | <0.001 | 37.2 (3.7) | 57.9 (1.5) | <0.001 |
| 1 day/wk | 55.9 (6.3) | 35.9 (1.7) | 53.5 (3.8) | 35.5 (1.5) | ||
| 2–3 days/wk | 23.4 (5.4) | 23.9 (1.4) | 7.8 (2.0) | 4.7 (0.7) | ||
| ≥4 days/wk | 1.9 (1.1) | 18.1 (1.3) | 1.6 (0.9) | 1.9 (0.4) | ||
| Smoking,% | ||||||
| Current smoker | 30.2 (5.9) | 33.6 (1.8) | 0.814 | 3.9 (2.0) | 4.9 (0.7) | 0.783 |
| Past smoker | 49.1 (6.4) | 48.3 (1.9) | 4.3 (1.5) | 5.6 (0.6) | ||
| Non-smoker | 20.7 (5.3) | 18.1 (1.5) | 91.8 (2.5) | 89.4 (0.9) | ||
| Physical activity, METs/wk | 48.46 (7.22) | 54.80 (2.74) | 0.046 | 50.99 (5.28) | 40.12 (2.12) | <0.001 |
| BMI, kg/m2 | 26.73 (0.51) | 24.90 (0.11) | 0.001 | 25.00 (0.26) | 24.99 (0.11) | 0.987 |
Abbreviations: METs, Metabolic equivalents; BMI, Body mass index; wk, week; n, unweighted sample size; N, weighted sample size in millions; Users, patients who read nutrition labels; Non-users, patients who do not read nutrition labels
Table 2.
Adjusted comparison of characteristics between nutrition label users and non-users in chronic disease patients
| Male (n=1329, N=3.62) | Female (n=1831, N=3.65) | |||||
|---|---|---|---|---|---|---|
| Users (SE) | Non-users (SE) | Pa | Users (SE) | Non-users (SE) | Pa | |
| Age, y | 55.68 (1.57) | 58.56 (0.43) | 0.086 | 59.69 (0.78) | 64.12 (0.30) | <0.001 |
| Area | ||||||
| Urban | 1 | 0.369 | 1 | 0.585 | ||
| Rural | 0.68 (0.29–1.57) | 0.85 (0.49–1.48) | ||||
| Monthly incomeb | ||||||
| Low (0–0.7) | 1 | 0.899 | 1 | 0.075 | ||
| Middle low (0.7–1.25) | 1.94 (0.88–4.28) | 1.46 (0.79–2.72) | ||||
| Middle high (1.25–2.0) | 1.52 (0.63–3.66) | 1.91 (1.04–3.50) | ||||
| High (more than 2.0) | 1.27 (0.54–3.00) | 1.64 (0.88–3.07) | ||||
| Educational level | ||||||
| Less than middle school | 1 | <0.001 | 1 | 0.001 | ||
| high school | 4.05 (1.59–10.30) | 1.75 (1.04–2.96) | ||||
| College or higher | 5.36 (2.21–12.94) | 3.48 (1.69–7.17) | ||||
| Alcohol use | ||||||
| No | 1 | 0.005 | 1 | 0.470 | ||
| 1 day/wk | 1.37 (0.64–2.94) | 1.28 (0.84–1.94) | ||||
| 2–3 days/wk | 0.86 (0.72–1.96) | 1.10 (0.46–2.63) | ||||
| ≥4 days/wk | 0.13 (0.00–0.51) | 1.23 (0.28–5.27) | ||||
| Smoking | ||||||
| Current smoker | 1 | 0.608 | 1 | 0.666 | ||
| Past smoker | 1.39 (0.66–2.92) | 0.85 (0.20–3.50) | ||||
| Non-smoker | 0.95 (0.40–2.23) | 1.10 (0.40–3.04) | ||||
| Physical activity, METs/wk | 50.11 (7.46) | 52.87 (2.36) | 0.719 | 43.97 (5.94) | 40.56 (2.23) | 0.591 |
| BMI, kg/m2 | 25.78 (0.48) | 24.58 (0.10) | 0.017 | 24.99 (0.27) | 24.98 (0.10) | 0.975 |
Abbreviations: METs, Metabolic equivalents; BMI, Body mass index; wk, week; n, unweighted sample size; N, weighted sample size in millions; Users, patients who read nutrition labels; Non-users, patients who do not read nutrition labels.
Table 3.
Utilization rate of nutrition label and the difference according to nutrition education in chronic disease patients
| Male | Pa | Female | Pa | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Nutritional education % (SE) | Use nutrition label % (SE) | Non-Use nutrition label % (SE) | Nutritional education % (SE) | Use nutrition label % (SE) | Non-Use nutrition label % (SE) | ||||
| HTN | <0.001 | HTN | 0.001 | ||||||
| n=1000, N=2.65 | 6.9 (1.1) | 93.1 (1.1) | n=1441, | 10.9 (1.0) | 89.1 (1.0) | ||||
| Educated | 6.3 (0.9) | 21.8 (6.1) | 5.1 (0.9) | N=2.84 | 6.7 (0.8) | 14.5 (3.4) | 5.8 (0.8) | ||
| Not educated | 93.7 (0.9) | 78.2 (6.1) | 94.9 (0.9) | 93.3 (0.8) | 85.5 (3.4) | 94.2 (0.8) | |||
| DLP | 0.085 | DLP | 0.217 | ||||||
| n=225, N=0.73 | 11.4 (2.4) | 88.6 (2.4) | n=408, | 19.6 (2.4) | 80.4 (2.4) | ||||
| Educated | 11.8 (2.5) | 22.9 (8.9) | 10.3 (2.5) | N=0.87 | 10.7 (1.7) | 15.1 (4.7) | 9.6 (1.8) | ||
| Not educated | 88.2 (2.5) | 77.1 (8.9) | 89.7 (2.5) | 89.3 (1.7) | 84.9 (4.7) | 90.4 (1.8) | |||
| CAD | 0.676 | CAD | 0.089 | ||||||
| n=105, N=0.24 | 2.0 (1.4) | 98.0 (1.4) | n=108, | 6.5 (2.7) | 93.5 (2.7) | ||||
| Educated | 7.8 (2.9) | 0.0 (0.0) | 7.9 (3.0) | N=0.18 | 11.3 (4.8) | 37.0 (21.7) | 9.5 (4.9) | ||
| Not educated | 92.2 (2.9) | 100.0 (0.0) | 92.1 (3.0) | 88.7 (4.8) | 63.0 (21.7) | 90.5 (4.9) | |||
| DM | 0.014 | DM | 0.067 | ||||||
| n=386, N=1.00 | 8.0 (1.8) | 92.0 (1.8) | n=493, | 14.9 (2.1) | 85.1 (2.1) | ||||
| Educated | 12.0 (1.9) | 26.5 (8.9) | 10.7(1.8) | N=1.01 | 12.2 (1.7) | 20.1 (5.9) | 10.8(1.7) | ||
| Not educated | 88.0 (1.9) | 73.5 (8.9) | 89.3(1.8) | 87.8 (1.7) | 79.9 (5.9) | 89.2(1.7) | |||
| Stroke | 0.132 | Stroke | 0.329 | ||||||
| n=91, N=0.22 | 6.6 (3.2) | 93.4 (3.2) | n=96, | 9.1 (4.9) | 90.9 (4.9) | ||||
| Educated | 4.5 (2.4) | 18.0 (17.2) | 3.5 (2.2) | N=0.15 | 9.4 (3.6) | 22.7 (21.3) | 8.1 (3.3) | ||
| Not educated | 95.5 (2.4) | 82.0 (17.2) | 96.5 (2.2) | 90.6 (3.6) | 77.3 (21.3) | 91.9 (3.3) | |||
| Total | <0.001 | Total | <0.001 | ||||||
| n=1329, N=3.62 | 7.6 (1.0) | 92.4 (1.0) | n=1831, | 13.2 (1.0) | 86.8 (1.0) | ||||
| Educated | 6.8 (0.8) | 19.2 (4.8) | 5.8 (0.8) | N=3.65 | 8.2 (0.8) | 15.7 (2.9) | 7.1 (0.8) | ||
| Not educated | 93.2 (0.8) | 80.8 (4.8) | 94.2 (0.8) | 91.8 (0.8) | 84.3 (2.9) | 92.9 (0.8) | |||
Table 4.
Nutrients most commonly read and effects of nutrition label using in nutrition label users
| Male | HTN | DLP | CAD | DM | Stroke | Total |
|---|---|---|---|---|---|---|
| n=53, N=0.18 | n=24, N=0.08 | n=3, N=0.005 | n=25, N=0.08 | n=4, N=0.01 | n=78, N=0.27 | |
| Effect of nutrition label using, % (SE)a | 79.8 (6.7) | 92.8 (5.1) | 77.7 (27.5) | 61.3 (11.6) | 39.1 (27.5) | 76.7 (5.3) |
| Nutrients,% (SE)b | ||||||
| Total Calories | 23.8 (6.7) | 24.9 (9.0) | 61.8 (35.6) | 36.0 (10.0) | 18.0 (19.8) | 27.2 (5.4) |
| Carbohydrate | 1.2 (1.2) | 3.2 (3.3) | 15.8 (20.7) | 0 | 0 | 2.1 (1.3) |
| Sugar | 3.0 (2.9) | 2.3 (2.4) | 0 | 11.1 (6.7) | 0 | 3.3 (2.1) |
| Protein | 16.6 (6.6) | 2.3 (2.3) | 0 | 10.4 (7.2) | 0 | 12.5 (4.8) |
| Fat | 34.2 (7.8) | 32.9 (9.6) | 0 | 30.4 (11.9) | 50.2 (29.6) | 30.7 (6.1) |
| Cholesterol | 16.9 (5.9) | 22.6 (10.2) | 22.3 (27.5) | 4.8 (3.0) | 31.8 (29.1) | 19.0 (5.1) |
| Na | 0.6 (0.6) | 0 | 0 | 1.4 (1.5) | 0 | 0.4 (0.4) |
| Others | 4.4 (2.4) | 11.8 (7.3) | 0 | 5.9 (4.6) | 0 | 4.9 (2.4) |
|
Female |
n=125, N=0.31 | n=69, N=0.17 | n=6, N=0.01 | n=53, N=0.15 | n=4, N=0.01 | n=192, N=0.48 |
| Effect of nutrition label using, % (SE) | 78.2 (4.3) | 85.8 (5.1) | 89.3 (11.5) | 78.6 (7.1) | 22.7 (24.5) | 77.8 (3.5) |
| Nutrients,% (SE) | ||||||
| Total Calories | 22.9 (4.5) | 22.6 (5.5) | 43.9 (23.2) | 33.4 (7.6) | 5.5 (7.0) | 24.7 (3.7) |
| Carbohydrate | 0.7 (0.7) | 0 | 19.4 (19.0) | 0 | 0 | 0.9 (0.7) |
| Sugar | 6.7 (2.5) | 4.6 (2.7) | 0 | 22.7 (7.3) | 27.8 (28.2) | 9.1 (2.6) |
| Protein | 5.6 (2.0) | 6.4 (3.1) | 0 | 6.7 (3.5) | 0 | 6.8 (1.9) |
| Fat | 23.1 (3.8) | 26.2 (6.2) | 36.7 (23.6) | 16.5 (5.7) | 22.7 (24.5) | 21.4 (3.0) |
| Cholesterol | 26.2 (4.6) | 35.3 (6.7) | 0 | 11.9 (4.8) | 0 | 26.3 (3.7) |
| Na | 4.7 (2.0) | 0 | 0 | 1.8 (1.8) | 0 | 3.0 (1.3) |
| Others | 10.0 (3.5) | 4.8 (2.5) | 0 | 6.9 (4.4) | 44.0 (33.9) | 7.8 (2.4) |
Table 5.
Differences in nutrient intake according to nutrition label use in chronic disease patients, males
| Total Calories (kcal) | Pa | Carbohydrate (g) | Pa | Protein (g) | Pa | Fat (g) | Pa | Fiber (g) | Pa | Na (mg) | Pa | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HTN (n=1000, N=2.65) | 0.737 | 0.200 | 0.883 | 0.800 | 0.057 | 0.169 | ||||||
|
Users Non -users |
1996.4±178.0 2057.1±35.6 |
331.6±3.9 306.7±18.9 |
73.6±6.8 72.6±1.4 |
36.5±6.4 34.8±1.5 |
10.8±1.3 8.1±0.1 |
4841.4±427.1 5453.8±136.8 |
||||||
|
DLP (n=255, N=0.73) Users Non -users |
2352.2±151.4 2168.5±53.4 |
0.280 |
362.3±27.1 340.9±7.7 |
0.462 |
84.5±7.4 81.4±2.6 |
0.701 |
42.8±6.7 39.7±2.0 |
0.676 |
9.5±1.1 9.4±0.4 |
0.967 |
6840.7±820.4 6242.9±295.9 |
0.495 |
|
CAD (n=105, N=0.24) Users Non -users |
1091.8±288.8 1813.8±53.4 |
0.015 |
213.8±59.8 323.2±9.7 |
0.074 |
31.3±7.3 61.6±2.5 |
<0.001 |
14.4±4.9 27.2±1.8 |
0.012 |
9.8±2.5 9.0±0.7 |
0.777 |
3187.1±1271.7 5563.2±415.9 |
0.118 |
|
DM (n=386, N=1.00) Users Non -users |
1760.7±139.8 1983.0±53.1 |
0.137 |
311.1±21.6 334.9±8.8 |
0.307 |
66.1±6.5 70.2±2.5 |
0.569 |
28.3±5.2 33.1±1.9 |
0.391 |
11.8±2.6 9.3±0.6 |
0.362 |
5021.1±541.6 5216.9±254.2 |
0.740 |
|
Stroke (n=106, N=0.22) Users Non -users |
1510.8±247.5 1755.0±63.7 |
0.372 |
286.9±30.2 310.2±11.0 |
0.503 |
50.0±18.0 59.8±2.9 |
0.607 |
14.5± 10.9 26.6±2.0 |
0.292 |
6.3±2.0 7.4±0.4 |
0.605 |
3631.8±1250.7 4324.8±293.5 |
0.604 |
|
Total (n=1329, N=3.62) Users Non -users |
1982.5±130.6 2053.2±32.1 |
0.597 |
312.7±15.1 333.7±4.2 |
0.184 |
71.6±5.1 73.1±1.4 |
0.778 |
34.3±4.7 35.1±1.4 |
0.866 |
9.6±1.0 8.6±0.3 |
0.407 |
5062.3±377.5 5556.2±145.6 |
0.219 |
Table 6.
Differences in nutrient intake according to nutrition label use in chronic disease patients, females
| Total Calories (kcal) | Pa | Carbohydrate (g) | Pa | Protein (g) | Pa | Fat (g) | Pa | Fiber (g) | Pa | Na (mg) | Pa | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HTN (n=1441, N=2.84) | ||||||||||||
|
Users Non -users |
1348.4±55.6 1438.4±18.5 |
0.152 |
254.0±10.6 266.9±3.7 |
0.292 |
46.6±2.6 48.4±0.7 |
0.524 |
18.9±1.5 20.1±0.5 |
0.468 |
6.7±0.5 6.8±0.2 |
0.894 |
3373.6±213.7 3582.3±70.6 |
0.373 |
| DLP (n=408, N=0.87) | ||||||||||||
|
Users Non -users |
1461.7±68.3 1555.6±33.3 |
0.252 |
265.2±13.8 283.4±6.2 |
0.265 |
54.2±3.4 54.1±1.4 |
0.969 |
23.8±2.7 24.2±1.0 |
0.899 |
6.5±0.5 7.4±0.3 |
0.187 |
3628.8±310.6 3916.7±152.6 |
0.435 |
| CAD (n=108, N=0.18) | ||||||||||||
|
Users Non -users |
1307.4±204.7 1415.2±46.6 |
0.605 |
254.3±49.0 269.1±9.9 |
0.768 |
49.4±12.4 47.5±2.1 |
0.882 |
18.4±5.7 17.9±1.3 |
0.937 |
10.2±4.0 6.3±0.3 |
0.327 |
2779.9±493.7 3575.1±207.1 |
0.148 |
| DM (n=493, N=1.01) | ||||||||||||
|
Users Non -users |
1228.6±99.0 1480.5±40.3 |
0.037 |
215.5±19.0 278.4±8.0 |
0.007 |
45.4±4.0 48.2±1.2 |
0.544 |
20.2±2.5 19.9±0.8 |
0.926 |
5.6±0.6 6.8±0.2 |
0.064 |
3779.0±399.8 3510.1±127.8 |
0.542 |
| Stroke (n=96, N=0.15) | ||||||||||||
|
Users Non -users |
1036.9±250.5 1429.9±59.9 |
0.133 |
162.2±43.2 274.8±12.4 |
0.014 |
50.1±13.0 45.4±2.1 |
0.730 |
22.8±5.0 17.1±1.1 |
0.266 |
3.5±1.0 5.8±0.3 |
0.042 |
2546.8±652.6 3279.7±207.1 |
0.285 |
| Total (n=1831, N=3.65) | ||||||||||||
|
Users Non -users |
1363.0±47.0 1467.9±16.9 |
0.049 |
249.3±8.9 272.4±3.4 |
0.023 |
47.8±2.1 49.5±0.6 |
0.472 |
20.3±1.4 20.8±0.4 |
0.735 |
6.3±0.4 6.9±0.1 |
0.242 |
3537.6±203.4 3673.1±64.6 |
0.543 |
- REFERENCES
- REFERENCES
References
2. Kim S, Moon S, Popkin BM. The nutrition transition in South Korea. Am J Clin Nutr 2000;71(1):44-53.
[Article] [PubMed]3. Park YS, Son SM, Lim WJ, Kim SB, Chung YS. Comparison of dietary behaviors related to sodium intake by gender and age. Korean J Community Nutr 2008;13(1):1-12.4. World Health Organization. Diet, nutrition and the prevention of chronic diseases. World Health Organ Tech Rep Ser 2003;916:1-149.5. Hu FB, Willett WC. Optimal diets for prevention of coronary heart disease. JAMA 2002;288(20):2569-78.
[Article] [PubMed]6. Hu FB, Stampfer MJ, Manson JE, Rimm E, Colditz GA, Rosner BA, et al. Dietary fat intake and the risk of coronary heart disease in women. N Engl J Med 1997;337(21):1491-9.
[Article] [PubMed]7. Park SH, Lee KS, Park HY. Dietary carbohydrate intake is associated with cardiovascular disease risk in Korean: analysis of the third Korea National Health and Nutrition Examination Survey (KNHANES III). Int J Cardiol 2010;139(3):234-40.
[Article] [PubMed]8. Chobanian AV, Hill M. National heart, lung, and blood institute workshop on sodium and blood pressure: a critical review of current scientific evidence. Hypertension 2000;35(4):858-63.
[Article] [PubMed]9. Kang HN, Shin EJ, Kim HN, Eom KY, Kwon KI, Kim SY, et al. Food nutrition labeling (processing food, food service business) in Korea. Food Science and Industry 2011;44(1):21-7.10. Kreuter MW, Brennan LK, Scharff DP, Lukwago SN. Do nutrition label readers eat healthier diets? Behavioral correlates of adults' use of food labels. Am J Prev Med 1997;13(4):277-83.
[Article] [PubMed]11. Neuhouser ML, Kristal AR, Patterson RE. Use of food nutrition labels is associated with lower fat intake. J Am Diet Assoc 1999;99(1):45-53.
[Article] [PubMed]12. Temple JL, Johnson K, Recupero K, Suders H. Nutrition labels decrease energy intake in adults consuming lunch in the laboratory. J Am Diet Assoc 2010;110(7):1094-7.
[Article] [PubMed]13. Variyam JN. Do nutrition labels improve dietary outcomes? Health Econ 2008;17(6):695-708.
[Article] [PubMed]14. Lewis JE, Arheart KL, LeBlanc WG, Fleming LE, Lee DJ, Davila EP, et al. Food label use and awareness of nutritional information and recommendations among persons with chronic disease. Am J Clin Nutr 2009;90(5):1351-7.
[Article] [PubMed] [PMC]15. Post RE, Mainous AG 3rd, Diaz VA, Matheson EM, Everett CJ. Use of the nutrition facts label in chronic disease management: results from the National Health and Nutrition Examination Survey. J Am Diet Assoc 2010;110(4):628-32.
[Article] [PubMed]16. Hyon SM, Kim JW. Improvement of dietary attitudes of elementary students by nutrition labeling education. Korean J Community Nutr 2007;12(2):168-77.17. Cho SH, Yu HH. Nutrition knowledge, dietary attitudes, dietary habits and awareness of food-nutrition labelling by girl's high school students. Korean J Community Nutr 2007;12(5):519-33.18. Lee KA, Lee HJ, Park EJ. The effect of use of nutrition labelling on knowledge and perception of nutrition labelling, and awareness of nutrition labelling usefulness with among college students. J Korean Soc Food Sci Nutr 2010;39(2):253-66.
[Article]19. Lee HY, Kim MK. Dietary behavioral correlates of nutrition label use in Korean women. Korean J Nutr 2008;41(8):839-50.20. Chang SO. A study on the perception, use, and demand of housewife-consumers for nutrition label. Korean J Nutr 2000;33(7):763-73.21. Kim NY, Lee JS. A study on perception and utilization of food-nutrition labeling by age in Busan residents. J Korean Soc Food Sci Nutr 2009;38(12):1801-10.
[Article]22. Kim SY, Lee JH. Effect of nutrition labeling use on consumers'food choices. J Consumer Studies 2010;21(3):107-28.23. Kim MS, Kim JS, Yu JO. Factors relating to use of food labels among adults with metabolic syndrome. Korean J Health Educ Promot 2012;29(5):1-12.24. Kang HT, Shim JY, Lee YJ, Linton JA, Park BJ, Lee HR. Reading nutrition labels is associated with a lower risk of metabolic syndrome in Korean adults: the 2007–2008 Korean NHANES. Nutr Metab Cardiovasc Dis 2013;23(9):876-82.
[Article] [PubMed]25. Korea National Health and Nutrition Examination Survey. Korea health statistics 2009: Korea National Health and Nutrition Examination Survey (KNHANES IV-3). Reston: Korea Center for Disease Control and Prevention; 2010. [Accessed Jun 11, 2013].. https://knhanes.cdc.go.kr/knhanes/index.do.26. Chung J, Kim MJ. Using and understanding of nutrition labels and related factors among female adults in the Seoul area. Korean J Community Nutr 2007;12(4):417-25.
