Journal List > J Nutr Health > v.52(4) > 1136444

Park and Lee: Association with obesity and abdominal obesity according to the kind and amount of coffee intake in Korean adults: 2013 ~ 2016 Korea National Health and Nutrition Examination Survey

Abstract

Purpose

We evaluate the influence of the types of coffee beverage on obesity and abdominal obesity in Korean adults who were aged 19 years or over by using the 2013 ~ 2016 Korea National Health and Nutrition Examination Survey (KNHANES).

Methods

Specific questions were asked about frequency of coffee intake, the type of coffee beverage, the addition of milk and/or sugar to coffee by using the food frequency questionnaire of the 2013 ~ 2016 KNHANES.

Results

We found that coffee intake increased the prevalence of obesity and abdominal obesity. After multivariable adjustment, coffee consumption increased the risk of obesity by 1.30 (95% CI: 1.08 ~ 1.57) in the group that drank coffee twice a day, and 1.33 (95% CI: 1.11 ~ 1.60) in the people who drank coffee ≥3 times a day as compared to that of the non-coffee intake group. The risk of abdominal obesity increased to 1.27 (95% CI: 1.02 ~ 1.57) in the < 1 time/day coffee drinking group, 1.34 (95% CI: 1.08 ~ 1.66) in the 1 time/day coffee drinking group, 1.35 (95% CI: 1.09 ~ 1.67) in the 2 times/day coffee drinking group, and 1.40 (95% CI: 1.14 ~ 1.72) in the ≥ 3 times/day coffee drinking group as compared to that of the non-coffee drinking group. The influence of black coffee intake was different according to gender: males showed a high prevalence of abdominal obesity and females showed a high prevalence of obesity. Mixed coffee consumption increased the risk of obesity and abdominal obesity by more than 34% in men who consumed coffee more than 3 times a day and in women who consumed coffee more than 2 times per day.

Conclusions

We found that coffee intake, regardless of the type of coffee, increased the prevalence of obesity and abdominal obesity. It is necessary to refrain from drinking coffee to prevent obesity.

Figures and Tables

Fig. 1

The procedure of selecting the subjects

jnh-52-369-g001
Table 1

General characteristic according to daily coffee intake frequency

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1) n (%)

2) p value by χ2 test

3) Mean ± SE

4) Current drinker: People who drink more than once a month

5) Current smoker: People who had smoked more than 5 packs of cigarette (= 100 cigarettes) for lifetime or now smoking

6) Current activity: This is the case of exercising more than 2 hours 30 minutes of middle intensity physical activity or more than 1 hour 15 minutes of high intensity physical activity in a week

a b c: significantly different at α = 0.05 by turkey's test

Table 2

Logistic regression analysis among daily intake frequency of coffee, obesity and abdominal obesity

jnh-52-369-i002

1) Adjusted for sex (male, female), occupation (administrator · expert and relate to worker, office job, service and sale worker, agriculture · forestry and fishery worker, engineer and equipment · machine · operation · assembly worker, non occupation (include housewife and student), household income (low, mid-low, high-mid, high), education (elementary school or lower, middle school, high school, college or higher), smoking amount (non-smoker, 1 ~ 9, 10, 11 ~ 19, over 20), alcohol drinking (drinker, non-drinker), aerobic activity (activity, non-activity), age, energy intake

2) n (%)

3) Odds ratio (95% confidence intervals)

Table 3

Logistic regression analysis among daily intake frequency of black coffee, obesity and abdominal obesity

jnh-52-369-i003

1) Adjusted for sex (male, female), occupation (administrator · expert and relate to worker, office job, service and sale worker, agriculture · forestry and fishery worker, engineer and equipment · machine · operation · assembly worker, non occupation (include housewife and student), household income (low, mid-low, high-mid, high), education (elementary school or lower, middle school, high school, college or higher), smoking amount (non-smoker, 1 ~ 9, 10, 11 ~ 19, over 20), alcohol drinking (drinker, non-drinker), aerobic activity (activity, non-activity), age, energy intake

2) n (%)

3) Odds ratio (95% confidence intervals)

Table 4

Logistic regression analysis among daily intake frequency of mix coffee, obesity and abdominal obesity

jnh-52-369-i004

1) Adjusted for sex (male, female), occupation (administrator · expert and relate to worker, office job, service and sale worker, agriculture · forestry and fishery worker, engineer and equipment · machine · operation · assembly worker, non occupation (include housewife and student), household income (low, mid-low, high-mid, high), education (elementary school or lower, middle school, high school, college or higher), smoking amount (non-smoker, 1 ~ 9, 10, 11 ~ 19, over 20), alcohol drinking (drinker, non-drinker), aerobic activity (activity, non-activity), age, energy intake

2) n (%)

3) Odds ratio (95% confidence intervals)

References

1. Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015; 386(9995):743–800.
2. Food and Agriculture Organization of the United Nations. International Fund for Agricultural Development. UNICEF. World Food Programme. World Health Organization. The state of food security and nutrition in the world 2017: building resilience for peace and food security [Internet]. Rome: Food and Agriculture Organization of the United Nations;2017. cited 2019 Jul 1. Available from: http://www.fao.org/3/a-I7695e.pdf.
3. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. 2017 National health statistics. Cheongju: Ministry of Health and Welfare;2018.
4. Hruby A, Manson JE, Qi L, Malik VS, Rimm EB, Sun Q, et al. Determinants and consequences of obesity. Am J Public Health. 2016; 106(9):1656–1662.
crossref
5. 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(4):667–675.
crossref
6. Kim YH. Status of beverage intakes in Korea, 1998–2012: Korea National Health and Nutrition Examination Survey (KNHANES). Public Health Wkly Rep. 2014; 7(7):133–140.
7. Balk L, Hoekstra T, Twisk J. Relationship between long-term coffee consumption and components of the metabolic syndrome: the Amsterdam Growth and Health Longitudinal Study. Eur J Epidemiol. 2009; 24(4):203–209.
crossref
8. Bouchard DR, Ross R, Janssen I. Coffee, tea and their additives: association with BMI and waist circumference. Obes Facts. 2010; 3(6):345–352.
crossref
9. Chiva-Blanch G, Badimon L. Effects of polyphenol intake on metabolic syndrome: current evidences from human trials. Oxid Med Cell Longev. 2017; 2017:5812401.
crossref
10. van Dam RM. Coffee consumption and risk of type 2 diabetes, cardiovascular diseases, and cancer. Appl Physiol Nutr Metab. 2008; 33(6):1269–1283.
crossref
11. Poole R, Kennedy OJ, Roderick P, Fallowfield JA, Hayes PC, Parkes J. Coffee consumption and health: umbrella review of meta-analyses of multiple health outcomes. BMJ. 2017; 359:j5024.
crossref
12. Grosso G, Marventano S, Galvano F, Pajak A, Mistretta A. Factors associated with metabolic syndrome in a Mediterranean population: role of caffeinated beverages. J Epidemiol. 2014; 24(4):327–333.
crossref
13. Grosso G, Stepaniak U, Micek A, Topor-Mądry R, Pikhart H, Szafraniec K, et al. Association of daily coffee and tea consumption and metabolic syndrome: results from the Polish arm of the HAPIEE study. Eur J Nutr. 2015; 54(7):1129–1137.
crossref
14. Takami H, Nakamoto M, Uemura H, Katsuura S, Yamaguchi M, Hiyoshi M, et al. Inverse correlation between coffee consumption and prevalence of metabolic syndrome: baseline survey of the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study in Tokushima, Japan. J Epidemiol. 2013; 23(1):12–20.
crossref
15. Kim K, Kim K, Park SM. Association between the prevalence of metabolic syndrome and the level of coffee consumption among Korean women. PLoS One. 2016; 11(12):e0167007.
crossref
16. Kim Y, Je Y. Moderate coffee consumption is inversely associated with the metabolic syndrome in the Korean adult population. Br J Nutr. 2018; 120(11):1279–1287.
crossref
17. Kim HJ, Cho S, Jacobs DR Jr, Park K. Instant coffee consumption may be associated with higher risk of metabolic syndrome in Korean adults. Diabetes Res Clin Pract. 2014; 106(1):145–153.
crossref
18. Yeon JY, Bae YJ. 3-in-1 coffee consumption is associated with metabolic factors in adults: based on 2012 ~ 2015 Korea National Health and Nutrition Examination Survey. J Nutr Health. 2017; 50(3):257–269.
19. Cai L, Ma D, Zhang Y, Liu Z, Wang P. The effect of coffee consumption on serum lipids: a meta-analysis of randomized controlled trials. Eur J Clin Nutr. 2012; 66(8):872–877.
crossref
20. Panchal SK, Wong WY, Kauter K, Ward LC, Brown L. Caffeine attenuates metabolic syndrome in diet-induced obese rats. Nutrition. 2012; 28(10):1055–1062.
crossref
21. Hino A, Adachi H, Enomoto M, Furuki K, Shigetoh Y, Ohtsuka M, et al. Habitual coffee but not green tea consumption is inversely associated with metabolic syndrome: an epidemiological study in a general Japanese population. Diabetes Res Clin Pract. 2007; 76(3):383–389.
22. Song F, Oh JE, Lee KW, Cho MS. The effect of coffee consumption on food group intake, nutrient intake, and metabolic syndrome of Korean adults-2010 KNHANES (V-1). NFS J. 2016; 4:9–14.
crossref
23. Lee Y, Son J, Jang J, Park K. Coffee and metabolic syndrome: a systematic review and meta-analysis. J Nutr Health. 2016; 49(4):213–222.
crossref
24. Bae HY, Jung KS. Broadcast data (processed food segmentation-coffee mix) [Internet]. Sejong: Ministry of Agriculture and Forestry in Korea;2015. cited 2019 Jan 16. Available from: http://www.mafra.go.kr/mafra/293/subview.do?enc=Zm5jdDF8QEB8JTJGYmJzJTJGbWFmcmElMkY2OCUyRjMxMTk4OSUyRmFydGNsVmlldy5kbyUzRg%3D%3D.
25. Je Y, Jeong S, Park T. Coffee consumption patterns in Korean adults: the Korean National Health and Nutrition Examination Survey (2001–2011). Asia Pac J Clin Nutr. 2014; 23(4):691–702.
26. Park SW, Seo KK. 377 cups of annual coffee consumption per adult in Korea [Internet]. Sejong: Ministry of Agriculture, Food and Rural Affairs;2017. cited 2019 Jan 25. Available from: http://www.mafra.go.kr/mafra/293/subview.do?enc=Zm5jdDF8QEB8JTJGYmJzJTJGbWFmcmElMkY2OCUyRjMxNDQ2MCUyRmFydGNsVmlldy5kbyUzRg%3D%3D.
27. Lim DH, Lee JB. Report of coffee mix quality examination [Internet]. Eumseong: Korea Consumer Agency;2014. cited 2019 Jan 5. Available from: http://www.kca.go.kr/brd/m_46/view.do?seq=1800&itm_seq_1=2.
28. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2015: Korea National Health and Nutrition Examination Survey (KNHANES VI-3). Cheongju: Korea Centers for Disease Control and Prevention;2016.
29. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2016: Korea National Health and Nutrition Examination Survey (KNHANES VII-1). Cheongju: Korea Centers for Disease Control and Prevention;2017.
30. Korean Society for the Study of Obesity. Diagnosis and assessment of obesity [Internet]. Seoul: Korean Society for the Study of Obesity;cited 2019 Jan 4. Available from: http://general.kosso.or.kr/html/?pmode=obesityDiagnosis.
31. Kim TH, Chae SJ, Kim CW. A study on the coffee consumption behavior by lifestyle. Korean J Hosp Adm. 2013; 22(2):93–112.
32. Kim SH. Coffee consumption behaviors, dietary habits, and dietary nutrient intakes according to coffee intake amount among university student. J Nutr Health. 2017; 50(3):270–283.
33. Lee S, Cho W, Cho N, Shin C. The association between coffee consumption and all-cause mortality according to sleep-related disorders. Korean J Community Nutr. 2015; 20(4):301–309.
crossref
34. Lee J, Kim HY, Kim J. Coffee consumption and the risk of obesity in Korean women. Nutrients. 2017; 9(12):1340–1352.
crossref
35. Shin H, Linton JA, Kwon Y, Jung Y, Oh B, Oh S. Relationship between coffee consumption and metabolic syndrome in Korean adults: data from the 2013–2014 Korea National Health and Nutrition Examination Survey. Korean J Fam Med. 2017; 38(6):346–351.
crossref
36. Kim JH, Park YS. Light coffee consumption is protective against sarcopenia, but frequent coffee consumption is associated with obesity in Korean adults. Nutr Res. 2017; 41:97–102.
crossref
37. Wang T, Huang T, Kang JH, Zheng Y, Jensen MK, Wiggs JL, et al. Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies. BMC Med. 2017; 15(1):97.
crossref
38. Food Safety Information Portal, Food Safety Country. Food nutrition database [Internet]. Cheongju: Ministry of Food and Drug Safety;cited 2019 Jun 6. Available from: https://www.foodsafetykorea.go.kr/portal/healthyfoodlife/foodnutrient/simpleSearch.do?menu_grp=MENU_NEW03&menu_no=2805.
39. Lee B, Lee HJ, Cho E, Hwang KT. Fatty acid composition of fats in commercial coffee creamers and instant coffee mixes and their sensory characteristics. J Korean Soc Food Sci Nutr. 2012; 41(3):362–368.
40. Korea Health Industry Development Institute (KHIDH). Sugar database compilation for commonly consumed foods. Cheongju: Korea Health Industry Development Institute;2015.
TOOLS
ORCID iDs

Hyoung-seop Park
https://orcid.org/0000-0002-9893-202X

Jung-Sug Lee
https://orcid.org/0000-0001-8738-6409

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