Abstract
Korea has undergone a major opening of its food markets and economy in the past decade. Little is understood about the impact of these shifts on the diet of Koreans. This analysis studies the shifts in consumption of foods between 1998 and 2009 to provide a thorough understanding of the transition and insights into directions in the next decades in Korea. Data are from the Korea National Health and Nutrition Examination Survey (KNHANES), a nationally representative sample of individuals age ≥2 in 1998 and 2009 (n=10,267 and 9,264, respectively). The data are corrected for seasonality, and the original raw food data are regrouped into 53 food groups. SAS is used to adjust for design effects and weight the results. Despite a decade of efforts to increase whole grains intake and fruit and vegetable intake, the mean intake of whole grains increased only a small amount (+16 kcal/person/d); however, the proportion consuming any whole grains doubled from 24% to 46.3%. Rice declined significantly, and several important less healthful food trends emerged: total Alcohol intake increased from 39 kcal/person/d to 82 kcal/person/d. Also, energy from Sugar-Sweetened Beverages increased among teens and energy from Tea & Coffee increased among adults. Remarkably, compared to other Asian countries and a general worldwide trend, vegetable intake remained very high in South Korea during this last decade while fat energy increased modestly from very low levels. Dynamic causes of these trends and the government’s response are discussed.
Keywords: Nutrition transition, South Korea, Diet, National Health and Nutrition Examination Survey, Energy intake
INTRODUCTION
South Korea has undergone many stages of dietary transition since the 1960s, but it has been one of the few countries to retain its traditional high vegetable, low fat diet as it underwent a remarkable economic transition in the period between 1960 and 1990.(1–5) More recently, an array of global forces, including membership in the World Trade Organization, a rapidly modernizing food distribution systems, the rapid emergence of the fast food and restaurant sector, and increasing access to modern processed foods have all led to major dietary changes.(6–8) Furthermore, over the past decade the removal of barriers to food importation, and the development of the Korean Food Trade Association (FTA) has been linked with increased food availability, reduced prices and significant increases in food importation.(9)
During this same period, the prevalence of obesity, hypertension, and other cardio-metabolic outcomes have increased: the prevalence of overweight and obesity among adults was 13.9% (11.7% in men, 18.0% in women) in 1995 but it increased by 2001 to 30.6% (32.4% in men, 29.4% in women).(10) These changes led the Korean government to not only revise the dietary guidelines and Dietary Reference Intakes (DRIs) for Koreans (11) but also to initiate several diet-related programs to attempt to offset some of these changes. In particular the government has attempted to increase fruit and vegetable and whole grain intake. However, rapid shifts in the food environment have occurred, concurrent with major lifestyle changes in Korea.
To date, shifts in the quality of the Korean diet over this period have not been carefully studied. This article examines shifts in diet during this recent transition period when the Korean food system became open to global influences and trade, using the series of nationally representative individual dietary data surveys that were initiated in 1998 and have continued through 2009.
MATERIALS AND METHODS
Sample
The Korea National Health and Nutrition Examination Survey (KNHANES) is a cross-sectional health and nutrition examination survey using nationally representative samples of non-institutionalized Korean civilians aged 2 and older. KNHANES is based on a multistage, stratified area probability sample of non-institutionalized Korean households in different geographic areas and in different age and sex groups. Weights indicating the probability of being sampled were assigned to each respondent, enabling the results to represent the entire Korean population. We use data from 1998 (n=10,267) and 2009 (n= 9,264).
The 1998 and 2001 KNHANES were conducted by the Korean Institute for Health and Social Affairs (KIHASA) and the Korea Health Industry Development Institute (KHIDI); the 2005 KNHANES was conducted by KIHASA, KHIDI, and the Korean Centers for Disease Control and Prevention (KCDC). But from 2007, the KNHANES was conducted by KCDC. (9, 11–15)
Dietary Data
Beginning in 2007, dietary data were collected over a 12-month seasonally weighted sample. Prior to that, however, the surveys were collected in winter (November–December, 1998 and 2001), and spring (April–May, 2005) with additional replicate samples collected from subsamples of the population in other seasons. This study is the first to use these seasonal replicates (which adjust all data at all-time points) to create seasonally adjusted data.
Trained dietitians followed multi-pass procedures to collect a single, in-person detailed 24-hour recall of dietary intake data. To enhance recall, particularly for away-from-home food consumption, food models and two-dimensional model of actual size traditional bowels/pots and food shapes were used to help the respondent report the volume and dimensions of the food items consumed. Detailed methodologies are published elsewhere.(16)
Based on the recipes collected from each household, the weight of each ingredient was estimated from the volume of food ingested. Then nutrient intake was calculated using Korean Food Composition Tables (17–19) and the Recipe Database for Korea Health and Nutrition Examination.(20)
Historical Dietary Data
Prior to 1998, all dietary data in South Korea came from household food consumption surveys, which were conducted annually by the Ministry of Health and Welfare since 1969.(21) Sample sizes of approximately 2000 households were collected in each round. These data are discussed in greater detail in earlier publications. Data come from government reports as raw data are unavailable and do not allow age adjustment. These household data are presented in per capita terms for vegetable trends and as a proportion of energy from fat for fat trends.
Food Grouping
Food grouping was based on the University of North Carolina-Chapel Hill food grouping system.(22) Briefly, USDA food groups were broken into more detailed, nutrient-based food groups using a systematic method which has been described in detail elsewhere.(23–25) Additions and modification were made to account for foods commonly consumed in South Korea. For example, white rice, kimchi (traditional fermented cabbage), salted vegetables, and soju (Korean distilled spirits) were pulled from their parent food groups because of their importance to and prominance in the Korean diet. Ultimately 53 food groups were examined.
Statistical Analysis
All statistical analyses were conducted using SAS (release 9.2; Cary, NC, USA). We used data from the two surveys for these analyses. The chi-square test was used to compare the percentage of demographic variable groups by year. Student t-test was also used to assess trends in mean consumption (per capita and per consumer) across food group.
RESULTS
Background
The distribution of demographic factors among respondents in 1998 and 2009 are presented in Table 1. Level of education and region of residence have changed significantly between 1998 and 2009; specifically those with less than a high school diploma (ρ<0.001), and rural and urban residence decreased, while higher levels of education and residence in a small city increased (ρ<0.05).
Table 1.
Distribution of demographic factors in KNHAES†, 1998 and 2009
| Demographic group | 1998 KNHANES | 2009 KNHANES | ρ value‡ |
|---|---|---|---|
| Sample size (n) | |||
| Number of Individuals | 10,400 | 9,391 | |
| Number of Households | 3,475 | 3,761 | |
| Mean Household size | 3.2 | 3.2 | |
| Gender (%) | |||
| Male | 48.7 | 50.1 | <0.01 |
| Age groups (%) | |||
| 2–6 y | 8.0 | 5.0 | 0.068 |
| 7–12 y | 9.2 | 7.3 | |
| 13–18 y | 10.2 | 9.0 | |
| 19–39 y | 36.0 | 32.8 | |
| 40–59 y | 24.8 | 30.8 | |
| 60 y+ | 11.8 | 15.2 | |
| Income as percentage of poverty (%)§ | |||
| Low (< 120%) | 32.7 | 23.5 | 0.194 |
| Middle (120–250%) | 45.9 | 37.0 | |
| High (≥250%) | 21.5 | 39.5 | |
| Adults (≥19 y) education (%) | |||
| <High school diploma | 36.7 | 35.0 | <0.001 |
| ≥High school diploma | 63.3 | 65.0 | |
| Region¶ (%) | |||
| Large City | 47.9 | 46.4 | <0.05 |
| Small City | 32.0 | 37.2 | |
| Rural | 20.1 | 16.4 | |
Weighted to be nationally representative.
Chi-squared Test comparing the percent of each demographic group between 1998 and 2009.
Calculated values based on Minimum Cost of Living (MCL) of each year. A family is considered poor if its income or expenditure falls below MCL measured by government as poverty.
Large City: Cities have more than a million people each. Small City: Cities have more than 50 thousand and less than a million people each. Rural: Cities have less than 50 thousand people each.
Overall Trends
Food groups, for which caloric intake changed significantly within the past 10 years, are presented in Table 2. The vast majority of Koreans consumed white rice on a daily basis, as evidenced by the data. However, consumption of white rice declined by the largest amount compared to any other food group during this time period decreasing from 743 kcal/capita/d in 1998 to 664 kcal/capita/d in 2009 (ρ<0.001). Consumption of energy from whole grains, however, increased an average of 16 kcal/capita/d (ρ <0.001). Other changes were seen for fruit (+12 kcal/capita/d, ρ <0.05), alcohol (particularly Soju (Korean distilled spirits) +29 kcal/capita/d, ρ <0.001; and beer +12 kcal/capita/d, ρ <0.001), and coffee and tea (+19 kcal/capita/d, ρ <0.001). Shifts in the gram consumption of all 53 food groups can be found in Table 3.
Table 2.
Top 20 Food Groups in terms of changes in kcal/d of dietary intake between 1998 and 2009.
| Rank | Food Group | Calories per capita‡
|
|||
|---|---|---|---|---|---|
| 1998 | 2009 | 10 y change§ | ρ value¶ | ||
| 1 | White Rice | 743 | 664 | −79 | <0.001 |
| 2 | Soju (Korean distilled spirits) | 24 | 54 | 30 | <0.001 |
| 3 | Coffee and Tea | 14 | 33 | 19 | <0.001 |
| 4 | Whole grain | 20 | 36 | 16 | <0.001 |
| 5 | Pork | 68 | 84 | 16 | <0.001 |
| 6 | Cakes, cookies, pies | 30 | 44 | 14 | <0.001 |
| 7 | Fruit, fresh | 62 | 74 | 12 | <0.05 |
| 8 | Beer | 9 | 21 | 12 | <0.001 |
| 9 | Noodle and Pasta | 76 | 65 | −11 | <0.05 |
| 10 | Sauces | 11 | 21 | 10 | <0.001 |
| 11 | Milk & milk/soy drinks | 43 | 52 | 9 | <0.001 |
| 12 | Fish plain | 47 | 38 | −9 | <0.001 |
| 13 | Savory snacks | 20 | 11 | −9 | <0.001 |
| 14 | Beef | 40 | 31 | −9 | <0.001 |
| 15 | Other Grains products and dishes | 98 | 90 | −8 | 0.1131 |
| 16 | Other legumes and legume dishes | 15 | 23 | 8 | <0.001 |
| 17 | Ramen | 61 | 54 | −7 | 0.113 |
| 18 | Nuts & seeds | 7 | 13 | 6 | <0.001 |
| 19 | Fats and oils, Salad dressings and dips | 58 | 63 | 5 | <0.01 |
| 20 | Tofu | 15 | 19 | 4 | <0.001 |
Rank ordered according to calculated difference in mean daily per capita caloric intake between 1998 and 2009.
Mean daily per capita caloric intake.
Change in per capita calories calculated as difference between 1998 and 2009.
Student t-test comparing mean per capita caloric intake between 1998 and 2009.
Table 3.
Top 20† changed food groups in per capita‡ (grams), per consumer§ (grams), and percent consuming¶ between 1998 and 2009.
| Rank | Food Group | 1998 | 2009 | ρ-value 10 y change | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||
| Per Capita | Percent Consuming | Per Consumer | Per Capita | Percent Consuming | Per Consumer | Per Capita†† | Percent Consuming‡‡ | Per Consumer§§ | ||
| 1 | White Rice | 213.3 | 94.8% | 224.9 | 178.4 | 97.0% | 183.9 | <0.001 | <0.001 | <0.001 |
| 2 | Beer | 23.3 | 3.2% | 729.9 | 55 | 6.5% | 840.3 | <0.001 | <0.001 | 0.053 |
| 3 | Coffee and Tea | 11.4 | 31.5% | 36.2 | 38.1 | 47.7% | 79.9 | <0.001 | <0.001 | <0.001 |
| 4 | Soju (Korean distilled spirits) | 16.8 | 6.9% | 245.1 | 37.6 | 10.3% | 363.9 | <0.001 | <0.001 | <0.001 |
| 5 | Kimchi | 101.9 | 89.8% | 113.5 | 117.3 | 90.8% | 129.1 | <0.001 | 0.141 | <0.001 |
| 6 | Milk & milk/soy drinks | 70.1 | 28.2% | 248.4 | 84.2 | 28.4% | 296.9 | <0.001 | 0.883 | <0.001 |
| 7 | Vegetable, fresh, frozen or processed and vegetable dishes | 144.6 | 97.4% | 148.5 | 158.2 | 97.4% | 162.5 | <0.001 | 0.857 | <0.001 |
| 8 | Other Grains products and dishes | 45.5 | 51.7% | 88 | 32.3 | 63.4% | 50.9 | <0.001 | <0.001 | <0.001 |
| 9 | Fruit, fresh | 154.7 | 48.0% | 322.1 | 167.8 | 50.9% | 329.8 | 0.184 | 0.107 | 0.541 |
| 10 | Other meats and meat dishes | 3.4 | 6.4% | 53.4 | 13.8 | 8.5% | 163.4 | <0.001 | <0.001 | <0.001 |
| 11 | Pork | 24.8 | 34.3% | 72.4 | 32.1 | 40.5% | 79.3 | <0.001 | <0.001 | <0.05 |
| 12 | Poultry plain and Poultry dishes | 13.5 | 8.8% | 152.9 | 19.9 | 15.4% | 129.1 | <0.001 | <0.001 | <0.05 |
| 13 | Tofu | 17.6 | 35.6% | 49.4 | 23.2 | 40.6% | 57.1 | <0.001 | <0.001 | <0.001 |
| 14 | Fruit juices | 11.2 | 4.7% | 238.4 | 16.3 | 10.2% | 160.3 | <0.001 | <0.001 | <0.001 |
| 15 | Whole grain | 5.6 | 24.0% | 23.3 | 10.7 | 46.3% | 23.1 | <0.001 | <0.001 | 0.894 |
| 16 | Beef | 21 | 39.0% | 53.9 | 16 | 33.7% | 47.6 | <0.001 | <0.001 | <0.01 |
| 17 | Sugar sweetened beverages, sports drinks | 36.1 | 14.1% | 255.9 | 41 | 14.3% | 287.7 | 0.078 | 0.857 | <0.001 |
| 18 | Cakes, cookies, pies | 9.5 | 11.0% | 86.5 | 14.4 | 15.7% | 91.3 | <0.001 | <0.001 | 0.408 |
| 19 | Seasonings | 23.8 | 98.0% | 24.3 | 27.8 | 97.7% | 28.4 | <0.001 | 0.277 | <0.001 |
| 20 | Fish plain | 29.5 | 65.4% | 45 | 25.6 | 63.0% | 40.7 | <0.05 | <0.05 | <0.05 |
Rank ordered according to difference of the mean per capita daily consumption (grams) between 1998 and 2009.
Mean daily per capita intake (grams).
Percent of the sample who reported consuming the food.
Mean per consumer intake (grams), calculated only among those who reported consuming the food.
Student t-test comparing per capita mean intake (grams) between 1998 and 2009.
Chi-squared test comparing percent consuming between 1998 and 2009.
Student t-test comparing per consumer meanintake (grams) between 1998 and 2009.
Table 4 shows changes in the proportion of the population who consume food groups between 1998 and 2009. Consumption of whole grains showed the largest change over the 10 year period, with consumption nearly doubling between 1998 and 2009, from 24.0% to 46.3% (ρ<0.001). Nuts & Seeds and Coffee and Tea had the next largest change in percent consuming, at +21.5% (ρ<0.001) and +16.2% (ρ<0.001) respectively. Percent consuming, grams consumed, and energy intake from Soju also increased significantly (ρ<0.001) over this time period.
Table 4.
Top 20 Food groups in terms of changes in the percent consuming† the food group between 1998 and 2009.
| Rank | Food group | Percent Consuming†
|
|||
|---|---|---|---|---|---|
| 1998 | 2009 | 10 y change | ρ value§ | ||
| 1 | Whole grain | 24.0% | 46.3% | 22.3% | <0.001 |
| 2 | Nuts & seeds | 46.8% | 68.3% | 21.5% | <0.001 |
| 3 | Coffee & Tea | 31.5% | 47.7% | 16.2% | <0.001 |
| 4 | Other Grains products & dishes | 51.7% | 63.4% | 11.7% | <0.001 |
| 5 | Other legumes & legume dishes | 28.8% | 40.3% | 11.6% | <0.001 |
| 6 | Seaweeds | 44.0% | 53.1% | 9.1% | <0.001 |
| 7 | Mushrooms | 14.5% | 22.4% | 7.9% | <0.001 |
| 8 | Sauces | 20.1% | 26.9% | 6.7% | <0.001 |
| 9 | Poultry plain & Poultry dishes | 8.8% | 15.4% | 6.6% | <0.001 |
| 10 | Pork | 34.3% | 40.5% | 6.2% | <0.001 |
| 11 | Fruit juices | 4.7% | 10.2% | 5.5% | <0.001 |
| 12 | Beef | 39.0% | 33.7% | −5.3% | <0.001 |
| 13 | Eggs plain | 48.2% | 53.5% | 5.3% | <0.001 |
| 14 | Tofu | 35.6% | 40.6% | 5.0% | <0.001 |
| 15 | Cakes, cookies, pies | 11.0% | 15.7% | 4.7% | <0.001 |
| 16 | Fruit, frozen, canned or dried | 5.4% | 9.6% | 4.1% | <0.001 |
| 17 | Other alcohol | 5.9% | 10.0% | 4.1% | <0.001 |
| 18 | Plain processed meat including Ham, Sausage, Bacon | 9.1% | 13.1% | 4.1% | <0.001 |
| 19 | Processed fish, processed Crustaceans and processed shellfish | 35.1% | 39.0% | 3.9% | <0.001 |
| 20 | Soju (Korean distilled spirits) | 6.9% | 10.3% | 3.5% | <0.001 |
Percentage of the sample who reported consuming the food
Chi-squared test comparing percent consuming between 1998 and 2009.
Comparison of historical and current trends in vegetables and percent fat
One of the unique features highlighted in earlier research was the very high vegetable and very low fat levels of the Korean diet.(5, 26) Energy intake from fat remained very low in South Korea relative to the country’s low economic position at that time; however in the past decade this has steadily increased from 152 kcal/person/d to 365 kcal/person/d (Figure 1). Figure 2 provides data on vegetable intake trends. Although the historical and current sampling frame and dietary data collection are not comparable, it is clear that vegetable intake has remained high, with Kimchi the largest contributor to vegetable consumption. In particular while other vegetable intake has fluctuated over time, consumption (grams) of Kimchi has risen steadily since 1969 increasing from 58 g/person/d to 117 g/person/d in 2009 (Figure 2).
Figure 1.

Trends† in total energy intake and sources of energy in South Korea.
† Values are presented as a 3-y or 4-y moving average between 1969 and 2009. Historical data from (47)
Figure 2.

Trends† in daily per capita energy intake of Vegetables, 1969 to 2009.
† Values are presented as a 3-y or 4-y moving average between 1969 and 2009. Historical data from (47)
‡Mean of Kimchi intake of age ≥1 from 1969 to 1995, Mean of Kimchi intake of age ≥2 from 1998 to 2009.
Healthful Dietary Trends
Although consumption of Cereals and Grain Products decreased continuously between 1969 and 1995. White Rice consumption remained relatively stable (3, 4, 26) until the last decade when consumption declined from 213g/capita/d in 1998 to 178 g/capita/d in 2009 (ρ <0.001). The average intake of Whole Grains doubled from 6 g/capita/d in 1998 to 11 g/capita/d in 2009 (ρ <0.001) (Table 3) and from 20 kcal/capita/d in 1998 to 36 kcal/capita/d in 2009 (ρ <0.001), respectively, (Table 2).
Legume intake increased until the mid-1980s and decreased in the 1990s.(3, 4, 26) These shifts then reversed again as consumption of Nuts& Seeds, Other Legumes, and Legume Dishes increased between 1998 and 2009 (Table 2). For example, between 1998 and 2009, the percent consuming Nuts & Seeds and Other Legumes increased from 46.8% to 68.3% (ρ <0.001) and 28.8% to 40.3% (ρ <0.001) respectively (Table 2).
The daily per capita intake of fruits has also been increasing over time, with particularly rapid change in the 1990s.(27) In1995, 146.0 g/capita/d of fruits were consumed, and this is almost a10-fold increase from the 18.9 g/capita/d consumed in 1970.(3) This trend has continued until 2009 (ρ <0.001). Particularly, energy intake per capita of fresh fruits was 61 kcal/capita/d in 1998 and 73 kcal/capita/d in 2009 (ρ <0.05) (Table 2).
Unhealthful Dietary Trends
Consumption of beverages shifted markedly in the 1998–2009 period. Most notable was consumption of alcohol, with energy nearly doubling between 1998 and 2009. Even though per capita energy intake from coffee and tea was not high, the increase over time is noteworthy. Energy from Coffee and Tea almost tripled from 14 kcal/capita/d in 1998 to 33 kcal/capita/din 2009 (ρ <0.001). Also, the percent of persons consuming these beverages increased from 31.5% in 1998 to 47.7% in 2009 (ρ <0.001) (Table 4).
In addition, meat and poultry consumption increased 10-fold between 1969 and 1995. The rate of increase was highest starting in the early 1980s.(3) During the past decade, Beef and Poultry consumption decreased, and energy intake of Pork increased from 68 kcal/capita/din 1998 to 84 kcal/capita/d in 2009 (ρ <0.001) (Table 2). The percent of persons consuming Pork, Beef, and Processed Plain Meat (including ham, sausage, and bacon) also increased over this time period (ρ <0.001) (Table 4).
Healthy versus Unhealthy Foods Changes
The energy intake from total Grain Products decreased and that from Fruits & Vegetables increased, with a large shift in fruit consumption (ρ <0.001) (Figure 3). While total animal food consumption was constant, Pork intake increased (ρ <0.001). Beverage intake showed the largest shift with a threefold increase of coffee and tea (ρ <0.001). Mean caloric intake of alcoholic beverages also increased substantially, from 39 kcal/capita/d in 1998 to 82 kcal/capita/d in 2009 (ρ <0.001). The major sources of alcohol intake are Soju and Beer.
Figure 3.
Mean difference in per capita caloric intake of healthy† versus unhealthy‡ foods between 1998 and 2009.
† Whole grains, Fruits, and Vegetables, White Rice, Poultry, Fish, and Coffee & Tea
‡ Cakes, Cookies & Pies, Beef, Pork, Sugar-Sweetened Beverages, and Alcoholic Beverages
* Means are statistically significantly different using Student t-test, ρ<0.05
** Means are statistically significantly different using Student t-test, ρ<0.01
*** Means are statistically significantly different using Student t-test, ρ<0.001
Beverage Consumption Patterns by Age
Sugar-sweetened beverage intakes increased in the adolescent group (13–18yr) from 22 kcal/capita/d in 1998 to 35kcal/capita/d in 2009 (ρ <0.05). Consumption of Coffee and Tea went from 15 kcal to 46 kcal/capita/d (ρ <0.05) in the middle age group (40–59yr) (Figure 4).
Figure 4.
Mean difference in per capita caloric intake of non-alcoholic beverage by age between 1998 and 2009.
* Means are statistically significantly different using Student t-test, ρ<0.05
** Means are statistically significantly different using Student t-test, ρ<0.01
*** Means are statistically significantly different using Student t-test, ρ<0.001
Intake of alcoholic beverages has increased in all adult age groups. These changes occurred in particular among middle-aged group (40–59 yr), especially in males, increased intake of Soju from 70 kcal/capita/din 1998 to 153 kcal/capita/d in 2009 (ρ <0.001). And young females (19–39yr) also increased intake of Soju (6 kcal/capita/d to18 kcal/capita/d in 1998 and 2009, ρ <0.001, respectively). Beer intake also increased 7 kcal/capita/d to 25 kcal/capita/d in 1998 and 2009, ρ<0.001, respectively (Figure 5).
Figure 5.

Mean difference in per capita caloric intake of alcoholic beverage by sex and age between 1998 and 2009.
* Means are statistically significantly different using Student t-test, ρ<0.05
** Means are statistically significantly different using Student t-test, ρ<0.01
*** Means are statistically significantly different using Student t-test, ρ<0.001
DISCUSSION
During the last decade, major shifts occurred in both more and less healthful components of the diet. Whole grain consumption showed small increases and fruit intake increased considerably. At the same time the major staple, rice, declined in both absolute and relative terms. Increases were seen in sugar sweetened beverages (mainly among adolescents), tea and coffee, and alcohol. Interestingly, most of the alcohol intake increases were from traditional Korean alcohol (Soju).
Economic changes represent an important influence on diet. However while economic changes in South Korea occurred earlier than in most Asian countries,(28) they retained their very high level of vegetable intake,(5) and lower level of total fat. (3) This high vegetable and low fat intake pattern was unique to South Koreans compared to other Asians and were elements that allowed them to retain a lower overweight and obesity level despite their very high income and reduced overall physical activity patterns.(29) In contrast, much later, and with much lower levels of economic improvement, diets in the two largest Asian countries, China and India, shifted toward higher fat and lower carbohydrate content while South Korea continued a low fat high vegetable diet.(30) Similarly, rapid economic change in Thailand was linked with a marked replacement of staples and side dishes by a higher proportion of fats and animal meat, and a shift to away-from-home consumption and to increased ready-to-eat food, in both rural and urban settings.(31) And similar changes occurred in Indonesia, again with much smaller levels of economic improvement than in South Korea.(32)
South Korea’s per capita gross domestic product (GDP) increased dramatically from the early 1960s; the rate of increase accelerated considerably in the late 1980s, and has more than doubled between 1998 and 2009 (from $501 million in 1998 to $1,065 million in 2009).(33) Furthermore, with entry into the World Trade Organization (WTO) the Korean Food Trade Association (FTA) has worked with several countries resulting in a collapse of the food boundaries between countries. These changes have led to an increase in national food availability, enhanced individuals’ purchasing power, and accelerated the nutrition transition.
Alongside these economic and administrative changes, there has been an increase in food imports from $7.0 billion in 1998 to $21.2 billion in 2009.(34) In particular fruits imports increased 5.2 times between 1998 and 2009 (from $94 million in 1998 to $491 million in 2009).(35) Finally, the consumer price index of citrus (top source of fruit in Korea) was dropped by a third between 1998 and 2009.(36) These shifts likely influenced the purchasing power of individuals and may partially explain the shifts in Fruit intake observed in the present study.(16)
Alcohol consumption in 2009 was double the 1998 level. In particular Beer and Soju in the age 19–39 female groups have tripled. From 1993 to 2006 in the United States, median alcohol consumption (from survey accounting) has slightly increased, from 0.51 gallon in 1993 to 0.64 gallon in 2006. (37) In the Western Pacific regions, WHO has shown stable alcohol intake but South Korea represents an exception.(38)
Sugar-sweetened beverage consumption among adolescents (13–18 years) has increased, and coffee and tea consumption of all adult groups has doubled. In particular for the middle-aged group (40–59 years), coffee and tea consumption has tripled. This trend matches that of many countries across the globe. (39, 40)
As stated, beverage intake was the most noticeable change in South Korea between 1998 and 2009. During the past decade, the beverage industry experienced substantial growth. (41) The total annual production of alcoholic beverage has increased from 2,729 MT/year in 2001 to 3,065 MT/year in 2009. The market size for nonalcoholic beverage is larger than alcoholic beverage. The total annual production of nonalcoholic beverage also has increased from 4,556,143 MT/year in 2001 to 5,086,584 MT/year in 2009. In particular, production of water, coffee beverage, mixed beverage and soy milk have increased.
A shift in composition of animal source foods occurred as the proportion from beef and poultry decreased while that of port increased following cheaper pork prices. Sensitivity to price changes in animal food consumption is common. (42–44)
Since 2002, the South Korean government has been promoting increased consumption of whole grains, fruits and vegetables and reduced consumption of fat. In April 2002, based on the Health Plan 2010, the Korea Ministry of Health and Welfare instituted the Comprehensive Health Promotion Policy, with health goals including improvement of the nutritional status of South Koreans. The plan includes various important programs and interventions for nutrition, such as the revision and dissemination of dietary guidelines, the enforcement of mandatory nutrition labeling on processed and packaged foods, the provision of nutrition services to groups at risk, and nutrition information made available to the public.(45) We report modest increases in Whole Grain and fruit intake resulting from this effort. In contrast, intake of vegetables did not increase as much as fruits. In fact, there was decreased at-home vegetable consumption among persons aged 16–64 years, although the proportion of vegetables consumed away from home did increase over the time period examined.
This paper has several limitations. First the food composition table and 24-hour recall data do not allow us to understand fully whether the foods consumed were processed foods. Further, although we have detailed nutritional information and descriptions on each food, we do not have brand names which would allow us to precisely identify these foods as imported or as a newer addition to the marketplace. Second there is the classic limitation in using a single 24-hour recall; data may not be representative of usual intake. However, by focusing on broad patterns and adjusting for seasonality we attempt to provide meaningful patterns at the population level.
In summary, the key changes between 1998 and 2009 are a significant decline in Rice, small increases in Whole Grains, a larger shift in Fruit consumption and large increases in Alcohol, Sugar-Sweetened Beverages, and Tea and Coffee. Up to the 1990s, South Korea provided a unique example of the good things a country can do to preserve the healthful elements of its traditional cuisine. A combination of large-scale training of housewives in preparation of the traditional low-fat, high-vegetable cuisine coupled with strong social marketing have led to very low fat and high vegetable intake levels.(46) With the opening of South Korea to global food markets, another transition appears to be occurring. To date, government efforts to improve whole grain consumption have met with small successes. The shifts in beverage consumption patterns represents a new challenge as does that for food policies to focus on a strategy to enhance Whole Grain intake and retain the healthier high Vegetable intake.
Supplementary Material
Acknowledgments
Funding: Korea Health Industry Development Institute and UNC-CH
We thank Ms. Frances Dancy, BS, UNC Carolina Population Center for her helpful administrative assistance, Donna R. Miles PhD. for programming and technical support, and Tom Swasey for graphic support.
Footnotes
STATEMENT OF AUTHOR’S INDIVIDUAL CONTRIBUTIONS TO MANUSCRIPT
LHS and BMP designed and conducted the research including data analysis; LHS drafted the manuscript; BMP and KJD were involved in conceptualization of presentation of the results and editing the manuscript; and LHS has primary responsibility for the final content. All authors have read and approved the final manuscript.
APPROVAL FROM INSTITUTIONAL ETHICS COMMITTEE
Analysis procedures were in accordance with the ethical standards of the Korea Centers for Disease Control and Prevention with KCDC Institutional Review Board approval
Conflict of Interest: None of the authors report any conflict of interest. Online supporting material is associated with this manuscript.
Contributor Information
Haeng-Shin Lee, Email: spacemay@gmail.com.
Kiyah J. Duffey, Email: kduffey@unc.edu.
Barry M. Popkin, Email: popkin@unc.edu.
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