Weight Status and Dietary Factors Associated with Sugar-Sweetened Beverage Intake among Korean Children and Adolescents - Korea National Health and Nutrition Examination Survey, 2008-2011

Haeng-Shin Lee; Sung-Ok Kwon; Yoonna Lee

doi:10.7762/cnr.2013.2.2.135

Journal List > Clin Nutr Res > v.2(2) > 1059754

Go to TopGo to Top Go to BottomGo to Bottom

TOOLS

Lee, Kwon, and Lee: Weight Status and Dietary Factors Associated with Sugar-Sweetened Beverage Intake among Korean Children and Adolescents - Korea National Health and Nutrition Examination Survey, 2008-2011

Original Article

Clinical Nutrition Research 2013; 2(2): 135-142.

Published online: 23 July 2013

DOI: https://doi.org/10.7762/cnr.2013.2.2.135

Weight Status and Dietary Factors Associated with Sugar-Sweetened Beverage Intake among Korean Children and Adolescents - Korea National Health and Nutrition Examination Survey, 2008-2011

Haeng-Shin Lee¹, Sung-Ok Kwon², Yoonna Lee³

¹Department of Food and Nutrition Industry, Korea Health Industry Development Institute, Cheongwon 363-700, Korea.

²Department of Food and Nutrition, Kyung Hee University, Seoul 130-701, Korea.

³Department of Food and Nutrition, Shingu College, Seongnam 462-743, Korea.

Corresponding author: Yoonna Lee. Address: Shingu College, 377 Gwangmyeong-ro, Seongnam-si, Gyeonggi-do 462-743, Korea. Tel +82-31-740-1528, Fax +82-31-740-1547, ynlee@shingu.ac.kr

Received 10 June 2013 Revised 1 July 2013 Accepted 4 July 2013

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

There has been growing concern about the role of sugar-sweetened beverages (SSBs) in the development of obesity. This study investigated factors associated with SSB intake among Korean children (7-12 years) and adolescents (13-18 years). We examined associations between SSB intake and demographic and dietary factors using nationally representative data from the 2008-2011 Korea National Health and Nutrition Examination Survey, and 3,179 children and 2,242 adolescents were included in the final analysis. We calculated adjusted odds ratios (ORs) for factors associated with high SSB intake (≥ 300 ml/day) by multivariable logistic regression. The mean daily SSB intake of school children was 98.7 ml/day, with a mean of 64.7 ml/day for those aged 7-12 years and 120.2 ml/day for those aged 13-18 years. SSB intake of ≥ 300 ml/day was found in 12.0% of the children and adolescents. Factors associated with a greater OR for high SSB intake were high energy intake (≥ 125% of EER; OR = 3.17 for boys aged 7-12 years, OR = 2.74 for girls aged 7-12 years, OR = 3.0 for girls aged 13-18 years), low milk consumption (< 1 cup/day; OR = 1.93 for boys aged 7-12 years; OR = 2.53 for girls aged 7-12 years; OR = 1.83 for boys aged 13-18 years), and not meeting the recommended fruit and vegetable intake (< 400 g/day; OR = 1.71 for boys aged 7-12 years). Being overweight and obese was significantly associated with greater ORs for high SSB intake among boys aged 7-12 years (OR = 1.72). These findings may be used to develop targeted education programs for reducing SSB intake and encouraging healthier food choices.

Keywords: Sugar-sweetened beverages, Children, Adolescents, Weight status, Dietary factors

Introduction

The consumption of sugar-sweetened beverages (SSBs) has been reported as a risk factor for weight gain and obesity in multiple systematic reviews [1-4]. The association between SSBs and the development of obesity has been explained both in terms of the high energy intake from the added sugars in SSBs and in terms of the negative association between SSBs and intake of important micronutrients [5]. In the United States (U.S.), the 2010 Dietary Guidelines for Americans emphasize reducing SSB consumption to promote good health and healthy dietary habits [6-9].

The SSB consumption pattern in the Korean population has also attracted interest. Most recently, Lee and colleagues [10] reported that the percentage of the Korean population consuming these beverages had increased from 31.5% in 1998 to 47.7% in 2009. In particular, energy intake from SSBs among Korean adolescents (13-18 years) increased from 22 kcal/day in 1998 to 35 kcal/day in 2009 (p < 0.05). Furthermore, the prevalence of obesity among Korean children and adolescents has increased from 5.8% in 1997 to 9.7% in 2005 [11]. Despite these facts, the factors associated with SSB consumption, including dietary factors and weight status, have not been investigated in the Korean population.

Therefore, the purpose of this study was to examine whether SSB intake is associated with demographic and other dietary factors among Korean children (7-12 years) and adolescents (13-18 years), using nationally representative data from the 2008-2011 Korea National Health and Nutrition Examination Survey (KNHANES).

Materials and Methods

Study population

For the purposes of this study, 2008-2011 KNHANES data, gathered by the Korea Centers for Disease Control (KCDC), were used [12-15]. KNHANES is a cross-sectional survey based on multistage, stratified area probability sampling of non-institutionalized individuals (aged ≥ 1 year). KNHANES was approved by the KCDC Institutional Review Board.

We used data on children and adolescents aged 7-18 years from KNHANES 2008-2011. The final study population consisted of 5,421 children and adolescents (3,179 for 7-12 years and 2,242 for 13-18 years) who participated in the nutrition survey, which addressed SSB intake, as well as the health examination survey and the health behavior survey.

Outcome variable

We analyzed 24-hour dietary recall data from the 2008-2011 KNHANES to estimate SSB consumption levels among children and adolescents. SSBs were defined using the KNHANES food grouping labeled 'beverage and alcoholic beverage.' For this study, we excluded non-sugar-sweetened beverages (for example, 100% fruit juices, teas, non-sugar coffee, etc.) and alcoholic beverages from this grouping. For χ² tests, we created two mutually exclusive SSB intake categories (< 300 and ≥ 300 ml/day) based on the SSB intake distribution and common consumption units. For logistic regression analysis, SSB intake was dichotomized by ≥ 300 ml/day, using as cutoffs the upper values for the approximately 90th percentiles. We defined the very high SSB intake group as that having SSB intake of ≥ 300 ml/day (1.5 cups/day).

Exposure variables

Demographic, dietary, and behavioral factors were included as exposure variables. Demographic factors included age (7-12 years and 13-18 years), gender, household income, and weight status. Household income was divided into quartiles in accordance with the KCDC's economic status grouping. Weight status was classified as normal weight (≥ 5th to < 85th percentile), overweight (≥ 85th to < 95th percentile), and obese (≥ 95th percentile) based on age- and sex-specific body mass index (BMI, kg/m²) distribution from the Korean growth charts [16]. Dietary variables included 9 nutrients (energy, carbohydrates, fat, protein, calcium, sodium, iron, vitamin A, vitamin C), 8 food groups (cereals, sugars, vegetables, fruit, meat & poultry, eggs, fish and shell fish, milk and dairy products) and plain water intake from 24-hour dietary recall data. We chose variables of main interest to find factors associated with SSB intake, and mutually exclusive intake categories were created for each exposure variable. Energy intake was split into two groups, < 125% of energy efficiency ratio (EER) and ≥ 125% of EER, in accordance with the KCDC's values as reported in KNHANES [12-15]. The plain water intake categories included < 4 cups/day (800 ml/day) and ≥ 4 cups/day based on the recommended level (746 ml/day for boys aged 12-14 years, 828 ml/day for boys aged 15-18 years) from the Dietary Reference Intake for Koreans (KDRI) [17]. Milk intake was divided into < 1 cup/day (200 ml/day) and ≥ 1 cup/day according to the minimum serving in the KDRI guidelines [17]. The fruit and vegetable intake categories were based on those who did and did not meet the intake recommended by the World Health Organization (WHO) (400 g/day). For sodium intake, two groups (< 2,000 and ≥ 2,000 mg/day) were considered based on the KDRI sodium recommendation [17]. In addition, the sodium cutoff points were based on the WHO recommendation of 2,000 milligrams per capita per day [18, 19]. Behavioral variables included being highly physically active at least 20 minutes/day during the past 7 days (< 3 and ≥ 3 days/week), based on the KCDC guidelines [20], and having experience with nutrition education (yes or no).

Statistical analysis

χ² tests were used to compare the percentage of the above variables according to SSB intake groups among children and adolescents. Univariable and multivariable logistic regression models were fit to estimate the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for variables associated with high SSB intake (≥ 300 ml/day). Multivariable logistic regression models controlled for possible confounding factors: weight, energy intake, milk intake, sodium intake, fruit and vegetable intake, and physical activity. All statistical analyses were conducted using SAS 9.2 (2009, SAS Institute Inc, Cary, NC, USA)

Results

The mean total SSB intake among those aged 7-18 years was 98.7 ml/day, with means of 114.1 ml/day for boys, 82.1 ml/day for girls, 64.7 ml/day for those aged 7-12 years, and 120.2 ml/day for those aged 13-18 years (data not shown).

Overall, SSB intake for each quartile was 0 ml/day for Q1, 0 ml/day for Q2, 148 ml/day for Q3, and 338 ml/day for the 90^th percentile (data not shown). Table 1 shows study subject characteristics and their associations with the two mutually exclusive SSB intake categories (< 300 and ≥ 300 ml/day) based on the SSB intake distribution and common consumption units. Based on χ² tests, SSB intake differed significantly by gender, age group, BMI, plain water intake, intake of 9 nutrients (energy, carbohydrates, fat, protein, sodium, iron, vitamin A, vitamin C), intake of 4 food groups (cereals, sugars, meat & poultry, milk and dairy products), and high physical activity. Although the data are not shown, SSB intake differed significantly by medium and low physical activity, where results were similar to high physical activity (Table 1).

The adjusted odds of both the univariate and multivariable logistic regression analyses have similarly significant results (Table 2). Based on univariate analysis, the adjusted OR for SSB intake of ≥ 300 ml/day differed significantly by gender, age group, energy intake, sodium intake, milk intake, and physical activity. However, the adjusted OR for SSB intake of ≥ 300 ml/day by multivariable logistic regression analysis did not differ significantly by gender or sodium intake. Table 3 shows the adjusted ORs for variables associated with very high SSB intake (≥ 300 ml/day) among children (7-12 years) and adolescents (13-18 years) by gender. Based on multivariable logistic regression analysis, the adjusted OR for SSB intake of ≥ 300 ml/day was significantly higher among the high energy intake group (≥ 125% of EER) among those aged 7-12 years (OR = 3.17 in boys and OR = 2.74 in girls). In addition, among those aged 13-18 years, the adjusted OR was 3.0 among girls in the high energy intake group (≥ 125% of EER). The adjusted OR was also significantly higher among children and adolescents who consumed < 1 cup/day of milk (OR = 1.93 in boys aged 7-12 years; OR = 2.53 in girls aged 7-12 years; OR = 1.83 in boys aged 13-18 years). Being overweight/obese and eating less than 400 g/day of fruits and vegetables were significantly associated with an increased OR for SSB intake of ≥ 300 ml/day among boys aged 7-12 years (OR = 1.72 and OR = 1.71, respectively) (Table 3).

Discussion

In the present study, 20.8% of Korean children and adolescents (7-18 years) consumed ≥ 1 cup/day of SSBs (data not shown), which is lower than the figure of 22.8% reported in a study of Australian children aged 2 to 16 years [21]. On the other hand, the 2010 National Youth Physical Activity and Nutrition Study reported that 64.9% of high school students in the U.S. consumed SSBs ≥ 1 time/day [22]. In the present study, high SSB intake (≥ 300 ml/day) was almost twice as high in boys compared with girls (63.7% vs. 36.3%, Table 1). This finding is similar to previous studies that reported gender to be significantly associated with high SSB intake among U.S. adolescents [22,23].

Only a few studies have examined the relationships among SSB intake and other dietary or behavioral factors among children. Park and colleagues [24] found that being male was associated with a greater OR for high SSB intake of ≥ 3 times/day (OR = 1.66), while being physically active for ≥ 60 min/day on < 5 days/week was associated with a lower OR for high SSB intake (OR = 0.85); however, weight status was not associated with SSB intake. In the present study, SSB intake was inversely associated with milk consumption and fruit and vegetable intake, whereas high SSB intake was positively associated with high energy intake. Therefore, it may be important to develop strategies for providing children with better food environments and nutrition education to promote the consumption of milk, fruits, and vegetables instead of SSBs. However, as experience with nutrition education was not associated with SSB intake in this study, we may have to reassess the content and effectiveness of such education.

Findings from large studies [3,25,26] have shown a positive association between high SSB intake and obesity. However, Park and colleagues [24] noted that obese adolescents possibly trying to lose weight were less likely to drink SSBs [27]. In the present study, a significant association was found between overweight/obesity and high SSB intake in children aged 7-12 years, which raises the possibility that SSB intake plays an important role in increasing total energy intake and, thus, gaining weight [28].

The major strength of this study is that it is the first to investigate the association between SSB intake and other dietary or behavioral factors using a large, nationally representative sample of Korean children and adolescents. However, this study has some limitations. First, since we used cross-sectional data, the causality and directionality of the associations cannot be determined. Second, SSBs in this study included the beverage items in the KNHANES 24-hour recall data. However, detailed surveys on SSB items and SSB consumption patterns and behaviors might be needed for further research.

Conclusions

Korean children and adolescents aged 7-18 years reported drinking less than 1 cup per day (98.7 ml/day) of SSBs. However, this study identified factors significantly associated with a greater OR for drinking ≥ 300 ml/day of SSBs; these were high energy intake, low milk consumption, and not meeting the recommended fruit and vegetable intake. In addition, being overweight and obese was significantly associated with an increased OR for SSB intake of ≥ 300 ml/day among Korean children (7-12 years). Our findings may be used to develop effective strategies for encouraging Korean children and adolescents to choose healthier foods rather than SSBs.

Figures and Tables

Table 1

Characteristics of study subjects and their associations with sugar-sweetened beverage intake among 7-18 years -Korea National Health and Nutrition Examination Survey, 2008-2011

^*Unweighted sample size; ^†Sugar-sweetened beverage; ^‡χ² tests were used for each variable to examine differences across categories; ^§Measured weight and height were used to calculate body mass index (BMI). Underweight was defined as BMI < 5th percentile, normal weight was defined as BMI ≥ 5th to < 85th percentile; overweight was defined as BMI ≥ 85th to < 95th percentile; and obesity was defined as BMI ≥ 95th percentile based on age- and gender- specific reference data from the Korean growth charts; ^∥Physical activity ≥ 20 minutes/day at least 3 days during previous 7 days; ^¶During this last year, have you ever been received any nutrition education?; ^**Usually, how many cups of plain water did you drink a day?

Table 2

Adjusted odds ratios for variables associated with very high sugar-sweetened beverage^* intake (≥ 300 ml/day) among 7-18 years-Korea National Health and Nutrition Examination Survey, 2008-2011

^*Sugar-sweetened beverage; ^†Model 1 didn't include all variables of study. Reference category included subjects who drank SSBs ≥ 300 ml/day; ^‡Model 2 included all variables of study. Reference category included subjects who drank SSBs ≥ 300 ml/day; ^§Significant finding based on the 95% Confidence Interval (CI) ; ^∥Measured weight and height were used to calculate body mass index (BMI). Underweight was defined as BMI < 5th percentile, normal weight was defined as BMI ≥ 5th to < 85th percentile; overweight was defined as BMI ≥ 85th to < 95th percentile; and obesity was defined as BMI ≥ 95th percentile based on age- and sex-specific reference data from the Korean growth charts; ^¶< 125% of Energy Efficiency Ratio (EER) and ≥ 125% of EER according to the Korea Centers for Disease and Control (KCDC)'s value that was reported Korea Health and Nutrition Examination Survey (KNHANES) report; ^**Usually, how many cups of plain water did you drink a day?; ^††Fruit and vegetable intake categories were identified those who met the recommended intake and those who did not meeting fruit and vegetable intake guideline according to the WHO recommendation (400 g/day); ^‡‡Physical activity ≥ 20 minutes/day at least 3 days during previous 7 days.

Table 3

Adjusted odds ratios for variables associated with very high sugar-sweetened beverage intake (≥ 300 ml/day) among children (7-12 years) and adolescents (13-18 years) by gender- Korea National Health and Nutrition Examination Survey, 2008-2011

^*Sugar-sweetened beverage; ^†Model included all variables of study. Reference category included subjects who drank SSB ≥ 300 ml/day; ^‡Measured weight and height were used to calculate body mass index (BMI). Normal weight was defined as BMI ≥ 5th to < 85th percentile, overweight was defined as BMI ≥ 85th to < 95th percentile, and obesity was defined as BMI ≥ 95th percentile based on age- and sex- specific reference data from the Korean growth charts; ^§Significant finding based on the 95% Confidence Interval (CI); ^∥< 125% of Energy Efficiency Ratio (EER) and ≥ 125% of EER according to the Korea Centers for Disease and Control (KCDC)'s value that was reported Korea Health and Nutrition Examination Survey (KNHANES) report; ^¶Usually, how many cups of plain water did you drink a day?; ^**Fruit and vegetable intake categories were identified those who met the recommended intake and those who did not meeting fruit and vegetable intake guideline according to the WHO recommendation (400 g/day); ^††Physically active ≥ 20 minutes/day at least 3 days during previous 7 days.

References

1. Forshee RA, Anderson PA, Storey ML. Sugar-sweetened beverages and body mass index in children and adolescents: a meta-analysis. Am J Clin Nutr. 2008; 87:1662–1671.

2. Te Morenga L, Mallard S, Mann J. Dietary sugars and body weight: systematic review and meta-analyses of randomised controlled trials and cohort studies. BMJ. 2013; 346:e7492.

3. Malik VS, Schulze MB, Hu FB. Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr. 2006; 84:274–288.

4. Vartanian LR, Schwartz MB, Brownell KD. Effects of soft drink consumption on nutrition and health: a systematic review and meta-analysis. Am J Public Health. 2007; 97:667–675.

5. Han E, Powell LM. Consumption patterns of sugar-sweetened beverages in the United States. J Acad Nutr Diet. 2013; 113:43–53.

6. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents. National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics. 2011; 128:Suppl 5. S213–S256.

7. Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, Greenlund K, Daniels S, Nichol G, Tomaselli GF, Arnett DK, Fonarow GC, Ho PM, Lauer MS, Masoudi FA, Robertson RM, Roger V, Schwamm LH, Sorlie P, Yancy CW, Rosamond WD. American Heart Association Strategic Planning Task Force and Statistics Committee. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic impact goal through 2020 and beyond. Circulation. 2010; 121:586–613.

8. Section on Pediatric Dentistry and Oral Health. Preventive oral health intervention for pediatricians. Pediatrics. 2008; 122:1387–1394.

9. U.S. Department of Agriculture. U.S. Department of Health and Human Services. Dietary guidelines for Americans, 2010. 7th ed. Washington, D.C.: U.S. Government Printing Office;2010.

10. Lee HS, Duffey KJ, Popkin BM. South Korea's entry to the global food economy: shifts in consumption of food between 1998 and 2009. Asia Pac J Clin Nutr. 2012; 21:618–629.

11. Oh K, Jang MJ, Lee NY, Moon JS, Lee CG, Yoo MH, Kim YT. Prevalence and trends in obesity among Korean children and adolescents in 1997 and 2005. Korean J Pediatr. 2008; 51:950–955.

12. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2007: the Fourth Korea National Health and Nutrition Examination Survey. Cheongwon: Korea Centers for Disease Control and Prevention;2008.

13. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2008: the Fourth Korea National Health and Nutrition Examination Survey. Cheongwon: Korea Centers for Disease Control and Prevention;2009.

14. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2009: Korea National Health and Nutrition Examination Survey (KNHANES IV-3). Cheongwon: Korea Centers for Disease Control and Prevention;2010.

15. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2010: Korea National Health and Nutrition Examination Survey (KNHANES V-1). Cheongwon: Korea Centers for Disease Control and Prevention;2011.

16. Moon JS, Lee SY, Nam CM, Choi JM, Choe BK, Seo JW, Oh K, Jang MJ, Hwang SS, Yoo MH, Kim YT, Lee CG. 2007 Korean National Growth Charts: review of developmental process and an outlook. Korean J Pediatr. 2008; 51:1–25.

17. Korean Nutrition Society. Dietary reference intakes for Koreans 2010. Seoul: Korean Nutrition Society;2010.

18. World Health Organization. Diet, nutrition and the prevention of chronic disease: report of a joint WHO/FAO expert consultation. Geneva: World Health Organization;2003.

19. World Health Organization. Review and updating of current WHO recommendations on salt/sodium and potassium consumption. Geneva: World Health Organization;2011.

20. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention, Korea Health Industry Development Institute. Guideline for Nutrition Survey of the Korea National Health and Nutrition Examination Survey 1998-2009. Seoul: Korea Health Industry Development Institute;2009.

21. Grimes CA, Riddell LJ, Campbell KJ, Nowson CA. Dietary salt intake, sugar-sweetened beverage consumption, and obesity risk. Pediatrics. 2013; 131:14–21.

22. Park S, Blanck HM, Sherry B, Brener N, O'Toole T. Factors associated with sugar-sweetened beverage intake among United States high school students. J Nutr. 2012; 142:306–312.

23. Ranjit N, Evans MH, Byrd-Williams C, Evans AE, Hoelscher DM. Dietary and activity correlates of sugar-sweetened beverage consumption among adolescents. Pediatrics. 2010; 126:e754–e761.

24. Park S, Blanck HM, Sherry B, Brener N, O'Toole T. Factors associated with low water intake among US high school students - National Youth Physical Activity and Nutrition Study, 2010. J Acad Nutr Diet. 2012; 112:1421–1427.

25. Berkey CS, Rockett HR, Field AE, Gillman MW, Colditz GA. Sugar-added beverages and adolescent weight change. Obes Res. 2004; 12:778–788.

26. Giammattei J, Blix G, Marshak HH, Wollitzer AO, Pettitt DJ. Television watching and soft drink consumption: associations with obesity in 11- to 13-year-old schoolchildren. Arch Pediatr Adolesc Med. 2003; 157:882–886.

27. Park S, Sherry B, Foti K, Blanck HM. Self-reported academic grades and other correlates of sugar-sweetened soda intake among US adolescents. J Acad Nutr Diet. 2012; 112:125–131.

28. Daniels MC, Popkin BM. Impact of water intake on energy intake and weight status: a systematic review. Nutr Rev. 2010; 68:505–521.

TOOLS

Similar articles