The Korean government recently announced the updated Dietary Reference Intakes for Koreans. In 1962, the Korean Recommended Dietary Allowance (RDA) were first established by the Korea Food and Agriculture Organization (FAO) Association; since then, six revisions have been made. In 2005, the Korean Nutrition Society changed its paradigm from the Korean RDA to the Dietary Reference Intakes for Koreans, updating them every 5 years. The newly published 2020 Dietary Reference Intakes for Koreans recommend 55–65 % and 15–30 % as the acceptable macronutrient distribution ranges of carbohydrates and fats, respectively, for adults aged ≥ 19 years(1). The acceptable macronutrient distribution ranges, which indicate the proportion of energy from macronutrients to total energy, for carbohydrate and fat have changed over the past decade. Since 2015, the acceptable macronutrient distribution ranges for carbohydrates have been adjusted from 55–70 % to 55–65 %, while that for fat has changed from 15–25 % to 15–30 %. However, the acceptable macronutrient distribution ranges for protein have remained unchanged at 7–20 % since 2005(1,2) .
In addition, many studies have investigated the changes in energy and macronutrient intake in Koreans, mainly focusing on carbohydrates and fats with large intake variations(Reference Yun, Kim and Oh3–Reference Ahn, Kim and Lee6). During the period from 1998 to 2013–2015, the percentage of energy from carbohydrates decreased by 3·4 % in men and 3·7 % in women. In contrast, men and women exhibited a 4 % and 4·4 % increase in the percentage of energy from fat during the same period, respectively, more so in younger age groups than in older age groups(Reference Yun, Kim and Oh3). Similar to global trends, previous studies reported that changes in protein intake are relatively stable compared with those in carbohydrates and fat in Korean populations. Despite the small changes in protein intake over time, it is well known that proteins play many important roles in the body: functioning as essential structural elements; regulating tissues and organs; functioning as enzymes, hormones and antibodies; and maintaining proper pH and fluid balance. In addition, the effect of dietary protein intake on health outcomes has long been among the main interests in the field of nutrition. The relationships between dietary protein intake and diseases, such as abdominal obesity(Reference Merchant, Anand and Vuksan7), type 2 diabetes(Reference Shang, Scott and Hodge8), hypertension(Reference Lelong, Blacher and Baudry9), sarcopenia(Reference Oh, Jeon and Storm10), hand grip strength(Reference McLean, Mangano and Hannan11) and even mortality(Reference Budhathoki, Sawada and Iwasaki12,Reference Chen, Glisic and Song13) , have been investigated.
In recent years, several studies have focused on the differential health effects of protein intake by source. In the pooled analysis of the three cohorts, plant protein was negatively associated with type 2 diabetes, while animal protein was positively associated with type 2 diabetes(Reference Malik, Li and Tobias14). An inverse association between plant protein and obesity has also been reported(Reference Lin, Bolca and Vandevijvere15) along with a 5-year change in systolic and diastolic blood pressures(Reference Tielemans, Kromhout and Altorf-van der Kuil16). Findings from the EPIC-InterAct Case-Cohort Study showed unfavourable effects of animal proteins on type 2 diabetes(Reference Van Nielen, Feskens and Mensink17). A recent meta-analysis of 112 randomised controlled trials highlighted that the substitution of animal protein with plant protein showed serum lipid-lowering effects(Reference Li, Blanco Mejia and Lytvyn18). A pooled analysis of six prospective cohort studies also reported beneficial effects of the substitution of plant protein for animal protein on incident Cardiovascular disease (CVD) and all-cause mortality(Reference Zhong, Allen and Greenland19). The effects of protein intake by source on health outcomes remain under debate(Reference Budhathoki, Sawada and Iwasaki12–Reference Van Nielen, Feskens and Mensink17).
According to nationwide analyses in Korea, the prevalence of metabolic diseases is steadily increasing, decreasing and then increasing, with differing trends across socio-demographic characteristics (obesity: from 29·1 % in 2009 to 32·5 % in 2018(Reference Nam, Kim and Han20); diabetes: from 11·8 % in 2012 to 13·8 % in 2018(Reference Jung, Son and Kang21); hypertension: from 19·7 % in 2007 to 23·5 % in 2018(Reference Kim, Cho and Lee22); hypercholesterolaemia: 8·8 % in 2007 to 18·0 % in 2018(Reference Cho, Lee and Lee23) and the metabolic syndrome: from 21·6 % in 2007 to 22·9 % in 2018(Reference Huh, Kang and Kim24)). Such changes in the prevalence of metabolic diseases can be explained by the transition to a Western-style diet characterised by a high consumption of animal-based foods and a low consumption of plant-based foods. In addition, as the source of foods shifted from plant to animal based, trends in dietary protein intake may also vary by source despite there being no significant change in total protein intake over time. Nevertheless, limited information is available to document secular trends in dietary protein overall and by source among the general Korean adult population.
Therefore, this study aimed to estimate changes in dietary protein (total, plant and animal) intake overall and by socio-demographic characteristics and describe trends in dietary protein intake by food source (plant v. animal based) over the period of 1998–2018 in Korean adults.
Materials and methods
Data source and study population
The Korea National Health and Nutrition Examination Survey (KNHANES) is an ongoing national surveillance conducted by the Korea Centers for Disease Control and Prevention. The KNHANES was initiated in 1998 with the aim of evaluating the health and nutritional status of adults and children and monitoring trends in the prevalence of chronic diseases and health risk factors in Korea. The KNHANES was initially conducted every 3 years. However, since 2007, the survey system has been conducted every year, and data from each 3-year period comprise one survey cycle. The KNHANES has been described in detail elsewhere(Reference Kweon, Kim and Jang25).
For this study, the data collected through seven survey cycles (1998–2018) from the KNHANES were combined: 1998 (KNHANES I), 2001 (KNHANES II), 2005 (KNHANES III), 2007–2009 (KNHANES IV), 2010–2012 (KNHANES V), 2013–2015 (KNHANES VI) and 2016–2018 (KNHANES VII). A total of 78 716 Korean adults aged ≥ 19 years who completed the nutrition survey and reported their plausible energy intake (2092–20 920 kJ/d(Reference Chen, Glisic and Song13,Reference Willett26) ) were included in the analytic samples. The protocols and procedures of the KNHANES were approved by the Korea Centers for Disease Control and Prevention Institutional Review Board (2007-02CON-04-P, 2008-04EXP-01-C, 2009-01CON-03-2C, 2010-02CON-21-C, 2011-02CON-06-C, 2012-01EXP-01-2C, 2013-07CON-03-4C, 2013-12EXP-03-5C, 2018-01-03-P-A), and all participants provided written informed consent.
Socio-demographic characteristics
Data on the following socio-demographic characteristics were included in the current analyses: sex (men or women), age group (19–29, 30–49, 50–64, ≥ 65 years), household income (lowest, lower middle, upper middle and highest), education level (less than elementary school, middle school, high school, and college or higher) and residential area (urban or rural).
Dietary intakes
Dietary intake was assessed based on a 24-h dietary recall. A nutrition survey of the KNHANES including 1-d 24-h dietary recall was conducted 1 week after the health interview and health examination to avoid the impacts of external factors that can affect diet such as fasting. In the nutrition survey, four specialised investigation teams consisting of two trained dieticians each were responsible for one primary sampling unit per week, and the investigation was conducted using the face-to-face computer-assisted personal interview method by a visit to each household(27). In the 24-h dietary recall survey, information about the types, amount, timing and location of each food and beverage item consumed by individuals during the previous day was recorded. Based on the National Standard Food Composition Table of the Korean Rural Development Administration, the daily intake amount and percentage of energy from macronutrients (carbohydrates, proteins and fat) were estimated. Intakes of total, plant and animal protein were presented as follows: (1) grams of protein per day and (2) percentage of energy from protein per day. The percentage of energy from macronutrients (carbohydrate, protein and fat) was calculated as the proportion of energy from each macronutrient to the total energy intake. To assess the intake of dietary protein from different food sources, we aggregated all food and beverage items into fifteen food groups from the KNHANES coding system(27) and previous studies(Reference Park, Park and Kang28–Reference Ha, Nam and Song30). Of the fifteen food groups, grains and their products, flour and bread, legumes, vegetables, kimchi and pickles, fruits, nuts and other plant foods were classified as plant sources (eight food groups), while unprocessed red meat, seafood, poultry, eggs, dairy products, processed meat and other animal foods were classified as animal sources (seven food groups). Likewise, protein intakes from plant sources were classified as plant proteins, whereas those from animal sources were classified as animal proteins.
Statistical analyses
All statistical analyses were performed using SAS version 9.4 (SAS Institute). The KNHANES used a complex stratified multistage probability sampling to achieve representativeness. To obtain nationally representative estimates, we used sample weight, primary sampling unit and stratum variables in all analyses according to the KNHANES analytic guidelines(27). This adjustment allowed for the extrapolation of data from each survey to the entire civilian non-institutionalised Korean population. The results are presented as frequencies (weighted percentages) for categorical variables and as medians and interquartile ranges for continuous variables with non-symmetrical distributions. The general characteristics of the participants according to survey cycle were compared using the χ 2 test for categorical variables. Trends in dietary protein intake over time were described overall and by socio-demographic subgroups and food sources. To reduce the impact of measurement error in the dietary estimates, the intakes of total, plant and animal protein (g/d) were energy adjusted using the residual method(Reference Willett and Stampfer31,Reference Shan, Rehm and Rogers32) . A multiple linear regression analysis was performed to estimate trends in dietary protein intake (total, plant and animal) across survey cycles, treating the midpoint of each survey cycle as a continuous variable. The nonlinearity of trends across survey cycles was determined by adding a quadratic term to the analytic models. The potential covariates included in the models were sex (men or women), age (continuous), household income (lowest, lower middle, upper middle and highest), education level (less than elementary school, middle school, high school, and college or higher) and residential area (urban or rural). Statistical significance was determined at a two-tailed P value < 0·05 in all analyses.
Results
The general characteristics of the study population from the KNHANES by survey cycle are presented in Table 1. A total of 78 716 Korean adults aged ≥ 19 years across all seven survey cycles were included in this study. The unweighted sample size was 7404 in 1998, 6577 in 2001, 6286 in 2005, 14 521 in 2007–2009, 15 439 in 2010–2012, 13 498 in 2013–2015 and 14 991 in 2016–2018, respectively. The distribution of age, household income, education level and residential area differed significantly across the survey cycles (all, P < 0·001), whereas no differences were observed in the distribution of sex among the survey cycles.
Table 1. General characteristics of study population by KNHANES survey cycle, 1998–2018*
KNHANES, Korea National Health and Nutrition Examination Survey; Wt’d %, weighted %.
* Data were obtained from the KNHANES. All data except for sample size were weighted to account for the complex study design according to the directions of the KNHANES analytical guidelines.
The overall trends in total energy intake and the percentage of energy from macronutrients for each survey cycle are presented in Fig. 1. The total mean energy intake (from 8249 kJ in 1998 to 8328 kJ in 2016–2018) and percentage of energy from fat (from 16·9 % in 1998 to 20·5 % in 2016–2018) increased, whereas the percentage of energy from carbohydrates (from 67·8 % in 1998 to 64·4 % in 2016–2018) and protein (from 15·3 % in 1998 to 15·1 % in 2016–2018) decreased (all P for trendlinearity <0·0001).
Fig. 1. Percentage of energy from carbohydrate, protein and fat among Korean adults from the KNHANES, 1998–2018*. *Data were obtained from the KNHANES. All data except for sample size were weighted to account for the complex study design according to the directions of the KNHANES analytical guidelines. Proportions were adjusted for sex, age, household income and region. KNHANES, Korea National Health and Nutrition Examination Survey. 
, carbohydrate (%); 
, fat (%); 
, protein (%); 
, total energy (kJ).
The total protein intake for each survey cycle is presented in Table 2. The absolute intake and percentage of energy from total protein among Korean adults significantly decreased over the two decades (β: –0·44 (95 % CI –0·67, –0·21) g/survey cycle, P for trendlinearity = 0·0002 for absolute total protein intake; β: –0·20 (95 % CI –0·23, –0·16) %/survey cycle, P for trendlinearity < 0·0001 for percentage of energy from total protein intake). However, from 2007–2009 to 2016–2018, trends in absolute total protein intake demonstrated a significant increase (β: 0·71 (95 % CI 0·35, 1·07) g/survey cycle, P for trendlinearity = 0·0001). From 1998 to 2016–2018, most of the subgroups by socio-demographic variables showed decreasing trends in absolute intake and percentage of energy from total protein, with the largest decline in adults aged 50–64 years (β: –0·99 (95 % CI –1·37, –0·61) g/survey cycle, P for trendlinearity < 0·0001 for absolute intake; β: –0·30 (95 % CI –0·35, –0·24) %/survey cycle, P for trendlinearity < 0·0001 for percentage of energy), and an increasing linear trend was found only in adults aged 19–29 years (β: 0·76 (95 % CI 0·28, 1·24) g/survey cycle, P for trendlinearity = 0·0021 for absolute total protein intake). However, in terms of changes between 2007–2009 and 2016–2018, increasing trends in absolute total protein intake were observed among the subgroups with the greatest increase in adults aged 19–29 years (β: 1·67 (95 % CI 0·67, 2·68) %/survey cycle, P for trendlinearity = 0·0011).
Table 2. Trends in total protein intake among Korean adults in the KNHANES, 1998–2018*
IQR, interquartile range; KNHANES, Korea National Health and Nutrition Examination Survey.
All values represent mean ± se. P values were obtained from the multiple linear regression analysis after the adjustment for sex, age, household income, education level, region and total energy intake, where applicable.
* Data were obtained from the KNHANES. All data except for sample size were weighted to account for the complex study design according to the directions of the KNHANES analytical guidelines.
† The β-coefficients (g/survey cycle or %/survey cycle) and 95 % CI were estimated only when the linear trend was significant.
‡ Model includes only time as a single continuous term.
§ Model includes time as a continuous and quadratic term. Only the P value for the quadratic term is shown.
The mean plant protein intake for each survey cycle is summarised in Table 3. Absolute intake and percentage of energy from plant protein among Korean adults significantly decreased over the two decades among all subgroups (P for trendlinearity < 0·001). From 1998 to 2016–2018, the most obvious decreasing trend of absolute plant protein intake was found in adults aged 30–49 years (β: –1·21 (95 % CI –1·35, –1·07) g/survey cycle, P for trendlinearity < 0·0001), while the greatest decrease in percentage energy of plant protein was found in adults aged 19–29 years (β: –0·29 (95 % CI –0·32, –0·27) %/survey cycle, P for trendlinearity < 0·0001). From 2007–2009 to 2016–2018, the steepest decreasing trends in plant protein intake were observed in adults aged 30–49 years (β: –1·69 (95 % CI –1·94, –1·44) g/survey cycle, P for trendlinearity < 0·0001 for absolute intake; β: –0·44 (95 % CI –0·48, –0·41) %/survey cycle, P for trendlinearity < 0·0001 for percentage of energy). Subgroups with younger age, higher incomes and higher education levels showed the steepest decrease in plant protein intake.
Table 3. Trends in plant protein intake among Korean adults in the KNHANES, 1998–2018*
IQR, interquartile range; KNHANES, Korea National Health and Nutrition Examination Survey.
All values represent mean ± se. P values were obtained from the multiple linear regression analysis after the adjustment for sex, age, household income, education level, region and total energy intake, where applicable.
* Data were obtained from the KNHANES. All data except for sample size were weighted to account for the complex study design according to the directions of the KNHANES analytical guidelines.
† The β-coefficients (g/survey cycle or %/survey cycle) and 95 % CI were estimated only when the linear trend was significant.
‡ Model includes only time as a single continuous term.
§ Model includes time as a continuous and quadratic term. Only the P value for the quadratic term is shown.
The animal protein intake for each survey cycle is presented in Table 4. Overall, the absolute intake and percentage of energy from animal protein among Korean adults substantially increased over the two decades (β: 0·55 (95 % CI 0·35, 0·74) g/survey cycle, P for trendlinearity < 0·0001 for absolute intake; β: 0·06 (95 % CI 0·03, 0·10) %/survey cycle, P for trendlinearity = 0·0004 for percentage of energy). These trends became precipitous in the last decade (β: 2·14 (95 % CI 1·84, 2·43) g/survey cycle, P for trendlinearity < 0·0001 for absolute intake; β: 0·35 (95 % CI 0·30, 0·40) %/survey cycle, P for trendlinearity < 0·0001 for percentage of energy). Adults aged 19–29 years showed the greatest increase in both absolute intake and percentage of energy from animal protein (β: 1·84 (95 % CI 1·42, 2·26) g/survey cycle, P for trendlinearity < 0·0001 for absolute intake; β: 0·28 (95 % CI 0·22, 0·35) %/survey cycle, P for trendlinearity < 0·0001 for percentage of energy). In addition, steeper increases in absolute animal protein intake were observed in men, younger age groups, individuals with a higher income and education level, and rural residents (all, P for trendlinearity < 0·0001). In terms of the percentage of energy from animal protein, substantial increases were observed in women, younger age groups and rural residents (P for trendlinearity < 0·0001).
Table 4. Trends in animal protein intake among Korean adults in the KNHANES, 1998–2018*
IQR, interquartile range; KNHANES, Korea National Health and Nutrition Examination Survey.
All values represent mean ± se. P values were obtained from the multiple linear regression analysis after the adjustment for sex, age, household income, education level, region and total energy intake, where applicable.
* Data were obtained from the KNHANES. All data except for sample size were weighted to account for the complex study design according to the directions of the KNHANES analytical guidelines.
† The β-coefficients (g/survey cycle or %/survey cycle) and 95 % CI were estimated only when the linear trend was significant.
‡ Model includes only time as a single continuous term.
§ Model includes time as a continuous and quadratic term. Only the P value for the quadratic term is shown.
The dietary protein intake from different food sources for each survey cycle is presented in Table 5. The dietary protein intake from plant sources decreased significantly (β: –1·21 (95 % CI –1·32, –1·09) %/survey cycle, P for trendlinearity < 0·0001 from 1998 to 2016–2018; β: –2·50 (95 % CI –2·70, –2·31) %/survey cycle, P for trendlinearity < 0·0001 from 2007–2009 to 2016–2018), but dietary protein intake from animal sources has increased (β: 1·21 (95 % CI 1·09, 1·32) %/survey cycle, P for trendlinearity < 0·0001 for 1998 to 2016–2018; β: 2·50 (95 % CI 2·32, 2·70) %/survey cycle, P for trendlinearity < 0·0001 from 2007–2009 to 2016–2018) over two decades. Among the plant-based sources, protein intake from grains and their products decreased the most between 1998 and 2016–2018, showing a steeper decreasing trend in the most recent period (β: –0·97 (95 % CI –1·05, –0·89) %/survey cycle, P for trendlinearity < 0·0001 for 1998 to 2016–2018; β: –1·57 (95 % CI –1·72, –1·43) %/survey cycle, P for trendlinearity < 0·0001 for 2007–2009 to 2016–2018). For 20 years, for animal-based sources, the greatest change in the contribution to protein intake was found in seafood. Contrary to other animal-based foods showing an increasing trend in contribution to protein intake, a decreasing trend was observed only in seafood (β: –1·29 (95 % CI –1·39, –1·18) %/survey cycle, P for trendlinearity < 0·0001 from 1998 to 2016–2018). On the other hand, protein intake from unprocessed meat showed a sharp increase in the last decade (β: 1·12 (95 % CI 0·95, 1·29) %/survey cycle, P for trendlinearity < 0·0001 for 2007–2009 to 2016–2018). Based on the most recent survey cycle (2016–2018), total dietary protein consisted of 56·7 % plant food sources and 43·3 % animal food sources. The plant food source that contributed most to the protein intake was grains and its products (23·9 %), followed by flour and bread (9·5 %), legumes (5·6 %), vegetables (4·7 %) and kimchi and pickled vegetables (2·9 %); in terms of animal food sources, unprocessed red meat accounted for the greatest protein intake (10·5 %), followed by seafood (8·3 %), poultry (6·2 %), eggs (3·4 %) and dairy products (2·6 %).
Table 5. Trends in dietary protein intake from different food sources among Korean adults in the KNHANES, 1998–2018*
IQR, interquartile range; KNHANES, Korea National Health and Nutrition Examination Survey.
All values represent mean ± se. P values were obtained from the multiple linear regression analysis after the adjustment for sex, age, household income, education level, region and total energy intake, where applicable.
* Data were obtained from the KNHANES. All data except for sample size were weighted to account for the complex study design according to the directions of the KNHANES analytical guidelines.
† The β-coefficients (%/survey cycle) and 95 % CI were estimated only when the linear trend was significant.
‡ Model includes only time as a single continuous term.
§ Model includes time as a continuous and quadratic term. Only the P value for the quadratic term is shown.
Discussion
Based on dietary data from nationally representative samples, this study described protein intake trends in the Korean adult population in 1998–2018. As indicated in previous reports, significant changes in carbohydrate and fat intake were found in the present study, with a declining trend of carbohydrates and an increasing trend of fats. The mean protein intake changed significantly during the same period, but this change was not as pronounced as that of carbohydrates or fat. This finding was in line with previous studies reporting that protein intake showed less variability and was more tightly regulated than other macronutrients(Reference Lieberman, Fulgoni and Agarwal33,Reference Martinez-Cordero, Kuzawa and Sloboda34) .
Total protein intake, both absolute intake and percentage of energy contribution, showed a significant declining trend over the 20-year period. A previous analysis of Japanese population reported similar decreasing trends in total protein intake(Reference Saito, Imai and Htun35). Contrary to the 20-year trend, Koreans’ total protein intake has been slightly increasing during the last decade. The key shift in total protein intake over two decades might be attributed to the steeper increase in animal protein intake compared with that of plant protein. Moreover, the difference in dietary protein intake by source is widening. In particular, the decline in plant protein intake can be largely attributed to a decrease in the consumption of grain and its products. Rice is a staple food for Koreans that contributes the most to their protein intake(36). However, the per capita consumption of rice in Korea decreased significantly from 116·3 kg in 1991 to 61·0 kg in 2018(37). This resulted in a decrease in plant protein intake and a further decrease in total protein intake. Vegetarianism has been attracting increasing attention in Korea for practical reasons, such as being healthy and dieting, and for ethical reasons such as animal rights and animal welfare(Reference Lee and Kim38,Reference Cherry39) . Although no significant increase in plant protein intake due to a vegan craze was observed in this nationwide analysis, the monitoring of changes in the contributions of plant and animal sources to total protein intake remains necessary.
As expected, animal protein intake has increased over time, but the increasing pattern differs depending on subgroups stratified by sex, age, income, education level and region. It is noteworthy that animal protein intake increased noticeably in adults aged 19–29 years. Recent reports in 2018 also reported higher mean consumptions of animal foods in young adults than in other age groups: 405 g in those 19–29 years, 389 g in those 30–49 years, 322 g in those 50–64 years and 229 g in those ≥ 65 years(40). Although plant protein intake decreased in adults aged 19–29 years, the increase in animal protein intake was greater than that of plant protein; thus, an increasing trend in total protein was also observed over time. Some studies also reported the adverse effects of excessive protein intake on bone and Ca homoeostasis, renal function and progression of coronary artery disease(Reference Martin, Armstrong and Rodriguez41–Reference Fleming and Boyd43); thus, efforts should be made to optimise the protein intake of younger adults.
In contrast, in adults aged ≥ 65 years, the trend in animal protein intake differed from that in young adults. In this study, both absolute intake and energy contribution from animal protein among adults aged ≥ 65 years did not show a linear increasing trend over the two decades; rather, it showed an overall linear tendency to increase over the last 10 years. Animal proteins are beneficial for muscle synthesis and the preservation of fat-free mass because they generally have higher bioavailability and an excellent composition of essential amino acids compared with plant proteins(Reference Lord, Chaput and Aubertin-Leheudre44,Reference Li, Fang and Ma45) . Previous studies conducted in various elderly populations demonstrated that animal proteins are linked to bone health, functional decline and muscle-related parameters. In a population-based cohort of 1526 elderly Caucasians, animal protein had a favourable effect on bone mineral density, particularly in women with a low Ca intake(Reference Promislow, Goodman-Gruen and Slymen46). In a 7-year follow-up cohort study of Japanese men aged ≥ 60 years, animal protein intake was associated with a lower incidence of functional decline(Reference Imai, Tsubota-Utsugi and Kikuya47). Another study of representative samples of an Italian population with an average age of 50·3 years also showed that animal protein was associated with muscle mass and strength(Reference Landi, Calvani and Tosato48). However, the positive role of plant proteins in bone health and muscle mass was not reported in these studies. In addition, the 2020 Dietary Reference Intakes for Koreans do not provide protein recommendations by source(1) because the differential health effects of protein sources remain under debate. Given the increasing number of elderly individuals who experience problems such as frailty, sarcopenia and osteoporosis in Korea(49,Reference Kim, Lee and Huh50) , further investigations of the relationships between protein intake and health parameters by source are needed.
We found differential trends in protein intake by different sources across socio-demographic groups. Subgroups with higher incomes and education levels showed steeper decreases in plant protein intake and a more precipitous increase in animal protein intake than those with lower incomes and education levels. Similarly, a recent cross-sectional analysis of 1404 Korean adults indicated that household income was positively associated with animal protein intake both in men and women and negatively associated with plant protein intake in men only(Reference Park51). Contrary to our findings, several studies reported that higher education and income levels are drivers of plant and animal protein intakes, respectively(Reference Aggarwal and Drewnowski52–Reference Yuan, Pickering and Bradlee55). A higher education level is associated with acquiring and utilising knowledge related to nutrition and health to make healthy food choices(Reference Kim, Han and Choi56), and people with high income levels reportedly have high accessibility to more nutrient-dense food choices without price restrictions(Reference Darmon and Drewnowski57). Thus, it has been documented that a higher education level is associated with an increased intake of plant protein, while a higher income is associated with increased intake of animal protein. However, in our study, as both education and household income levels increased, animal protein intake increased, and plant protein intake decreased. This can be explained by the similar distributions of population according to education level and household income in Korea(Reference Kim, Jun and Hong58).
This study presented the changes in dietary protein intake by food sources over the past two decades. All foods and beverages consumed by the participants were aggregated into fifteen food groups, which were further categorised into plant and animal based. In terms of two sources (plant v. animal), in 1998, 63 % of the total protein intake was from plant sources, whereas 37 % was from animal sources, showing that protein from plant sources was twice as plentiful as that from animal sources. However, the gap has recently narrowed to 57 % from plants and 43 % from animal sources. The food sources that contribute to protein intake have also changed. In plant-based sources, 20 years ago, about half of plant-derived proteins consisted of grains and their products; since then, the contribution of this food group to protein intake has been decreasing and that from flour and bread has been substantially increasing. This might be related to changes in dietary patterns, such as a decrease in rice-oriented meals and an increase in the consumption of bread and snacks due to the Westernisation of the Korean diet(Reference Kim, Kim and Kim59,Reference Choi, Woo and Lee60) . In the case of protein intake from animal sources, seafood accounted for half of all animal-based protein intake in 1998, whereas in recent years unprocessed meat has made the largest contribution to animal-based protein intake. Moreover, sources of animal proteins have become more diverse in recent years and now include poultry, eggs, dairy products and processed meat. The changes in food sources of protein observed in this study are supported by official reports based on the KNHANES documenting that the consumption of grains, fruits and vegetables, potatoes and starchy vegetables has decreased, whereas the consumption of meat and milk has increased in the last 20 years(4).
This study has several limitations. First, the dietary intake data used in this study consisted of self-reported 24-h dietary recall. Self-reported dietary information is among the main causes of measurement errors in epidemiological studies and may not account for an individual’s usual intake due to day-to-day variations in diet. Compared with the methods by which participants record their diet themselves, the 24-h dietary recall method has a weaker tendency towards under-reporting of energy intake(Reference Johnson, Driscoll and Goran61). However, they show a wide range of under-reporting of energy intake (10–60 %) depending on the characteristics of the study population. A previous study using KNHANES data found 14·4 and 23·0 % rates of under-reporting of 24-h dietary recalls in men and women, respectively. The ratio of under-reporting was higher among individuals of older age, with lower incomes, with obesity and who rated their own health as poor(Reference Kye, Kwon and Lee62). Although the 24-h dietary recall method has limitations as discussed above, the KNHANES aims to minimise the errors and risks of under-reporting that may occur when nutrition surveys are conducted through quality management, such as developing an annual investigation guidebook, training investigators, assessing the survey results and developing a tool for improving the accuracy of food portion estimates in 24-h dietary recalls. The 24-h dietary recall method is reportedly the least biased method for best capturing dietary intake in a population(Reference Thompson, Kirkpatrick and Subar63). Furthermore, since this study aimed to examine changes in protein intake at the overall and subpopulation levels rather than at the individual level, it was possible to overcome some of the limitations, such as not being able to capture individuals’ usual intakes. Second, we estimated the dietary protein intakes using only food and beverage consumption. Although protein intake from protein bars and dietary supplements such as protein or amino acid supplements is increasing in Korea, it was not considered in the estimations because of data unavailability. Third, the cross-sectional nature of the study design did not reflect a shift in socio-demographic characteristics over time.
Despite these limitations, the strengths of this study include its use of nationally representative samples of Korean adults from the KNHANES, which provided an overview of protein intake trends overall and by source at the population level. Moreover, contrary to carbohydrates and fats, few investigations on changes in protein intake have been conducted to date. To fill the gaps in the literature, this study identified changes in dietary protein intake overall and by socio-demographic subgroups of Korean adults over a period of more than 20 years. We both explored dietary protein intake according to source (plant or animal based) and described how dietary protein intake has changed in terms of specific food groups. Furthermore, potential covariates might be related to dietary protein intake, which was added to the analytical models.
Conclusions
Over the period of 1998–2018, Korean adults demonstrated drastic changes in carbohydrate and fat intake, while their protein intake remained relatively stable. Our findings showed decreasing trends in total and plant protein intake and an increasing trend in animal protein intake over these two decades. Differential trends in protein intake by source among the socio-demographic groups were noted, and the trends were steeper in adults of younger age and with a higher household income and education level. In terms of energy contribution, an increased protein intake may cause changes in carbohydrate and fat intake. Therefore, continuous monitoring of dietary protein intake, both overall and by source, is needed. Furthermore, future investigations of trends in dietary protein intake across socio-demographic characteristics are necessary to update the dietary guidelines for protein intake and establish target-specific nutritional policies.
Acknowledgements
The article was prepared using KNHANES 1998–2018 data obtained from the KCDC. All authors appreciate the KCDC for the availability of the KNHANES survey data.
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (grant no. 2020R1G1A1100454).
The authors’ contributions are as follows: Conceptualization (K. W. L. and D. S.); formal analysis (K. W. L. and D. S.); data interpretation (K. W. L. and D. S.); writing – original draft (K. W. L); writing – review & editing (K. W. L. and D. S.); funding acquisition (K. W. L.); supervision (D. S.). All authors read and approved the final version of the manuscript.
The authors declare no conflicts of interest.
