Next Article in Journal
Fetal Programming Is Deeply Related to Maternal Selenium Status and Oxidative Balance; Experimental Offspring Health Repercussions
Previous Article in Journal
Nutrient Intakes of Children: Associations with Maternal Use of Pressure to Eat and a Healthy Home Food Environment
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Nutrients
Volume 13
Issue 6
10.3390/nu13062084
nutrients-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Caffeine Consumption in a Group of Adolescents from South East Poland—A Cross Sectional Study

by
Ewa Błaszczyk-Bębenek
1,*,
Paweł Jagielski
1 and
Małgorzata Schlegel-Zawadzka
2
1
Department of Nutrition and Drug Research, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-066 Krakow, Poland
2
Collegium Masoviense High School of Health Sciences, 96-300 Zyrardów, Poland
*
Author to whom correspondence should be addressed.
Nutrients 2021, 13(6), 2084; https://doi.org/10.3390/nu13062084
Submission received: 18 May 2021 / Revised: 10 June 2021 / Accepted: 16 June 2021 / Published: 18 June 2021
(This article belongs to the Section Nutrition and Public Health)
Browse Figures
Versions Notes

Abstract

:
Caffeine is the most common psychoactive substance available to adults, as well as to children and adolescents. The safety of its use in younger age groups requires further research. The aim of this study was to evaluate caffeine intake, to identify products and drinks that are the main sources of caffeine intake in the diet of the subjects and the risk of excessive caffeine intake with the diet of adolescents, stratified by gender. A cross-sectional study was conducted among 508 adolescents aged 16–18 years from southern Poland. Black tea, cola-based soft drinks and milk chocolate were the most frequently consumed products containing caffeine in the diet of the examined persons. The average caffeine intake was 95.54 mg/day (1.54 mg/kg b.w.). In 12.2% of the subjects the dose of 3 mg/kg b.w./day was exceeded, and in over 41.3% the dose causing sleep disorders was exceeded. The dose causing anxiety was also exceeded in 18.1% of the respondents, significantly more often in girls than boys (p = 0.0487).

1. Introduction

Caffeine is one of the best-described stimulants in the world and the products that are its source in the diet are equally popular among adults and younger age groups [1]. Recent studies have confirmed the safety of coffee consumption by adults, consumed in the form of hot drinks [1,2]. Many studies have shown that coffee may, among others, reduce the risk of type 2 diabetes and liver cancer, uterine or prostate cancer, and basal cell carcinoma. It was also shown to reduce the risk of neurological and cardiovascular diseases [3]. Drinking coffee in the amount of 3–4 cups a day was also associated with reduced mortality in a group of women and men in the HAPIEE study [4]. However, the safety of caffeine, which is the main stimulant present in coffee, depends on individual characteristics, such as body weight, gender, physiological condition or the dose consumed [1,5]. Caffeine occurs naturally in coffee, tea or chocolate [6]. Synthetic caffeine is found in many products that are used to eliminate sleepiness and provide psychophysical energy [7]. The sources of caffeine in the diet do not only include drinks such as coffee or tea, drugs and dietary supplements, but also energy drinks or chocolate, popular among the youth [6,7]. The safety of caffeine used by adolescents is constantly studied, and establishing its safe level of consumption in children and adolescents is difficult to achieve [1,5,7]. Some recent reports on caffeine safety presented by the European Food Safety Authority (EFSA) [5] are slightly more restrictive in relation to the 2003 report published by Nawrot et al. [8]. A new study by Temple et al. revealed that caffeine consumption was associated with risky behaviors undertaken by children and adolescents, regardless of gender [9], as well as the increased consumption of sweet soft drinks among girls [10]. Caffeine consumption by adolescents is also associated with sleep disorders, which may lead to learning and concentration difficulties, or even an increased risk of obesity [11]. In Kim’s study, higher caffeine intake was also associated with lower nutritional knowledge and knowledge about the effects of caffeine on bones and sleep disorders [12]. According to the NHANES study, children who watched TV more than two hours a day were characterized by a significantly higher caffeine intake [13]. The most common side effects of the consumption of caffeinated products or beverages include insomnia, frequent urination, excitement or anxiety, and headaches [14,15]. Therefore, it is necessary to conduct further research into the assessment of caffeine consumption and dietary intake in children and adolescents.

2. Materials and Methods

The study was designed as a cross-sectional survey, carried out in 2014–2015 and covering data of 508 secondary school students aged 16–18. The study included 246 boys and 262 girls from two environments—rural and urban from the southern regions of Poland (Subcarpathian voivodeships). The research was conducted among students from schools where the school principals had given their prior consent to conduct the study. All persons between the ages of 16–18 who gave their written consent to participate in the study (in the case of people over 16 years old, the informed consent was also signed by their guardians) and in whom it was possible to take anthropometric measurements participated in the study. The study was conducted in accordance with the Declaration of Helsinki for medical research [16] and with the positive approval of the Jagiellonian University Bioethics Commission (KBET/62/B/2013). This paper was prepared according to the Strengthening the Reporting of Observational Studies in Nutritional Epidemiology (STROBE-nut) checklist [17].
The research tool for the assessment of caffeine intake with diet was a self-reported questionnaire containing questions about the frequency and amount of caffeine-containing products consumed in the diet. The ADOS-Ca questionnaire, used for calcium intake evaluation, was the source of frequency ranges proposed for the assessment of the average caffeine intake per day [18]. The questionnaire had been validated in earlier studies concerning the assessment of caffeine participation in the diet of junior high school students [19]. The scale included eight possible answers from which the respondents chose one (never, less frequently than once a week, 1–2 times a week, 3–4 times a week, 5–6 times a week, once a day, 2 times a day, 3 times a day). The average caffeine intake was determined (more than the basic dose, basic dose and half the basic dose) by choosing one of three possible dose sizes. Depending on the product, the basic serving was one cup (150 mL, ground black coffee, instant coffee, 3-in-1 coffee, 2-in-1 coffee, cappuccino), a cup/glass (250 mL, black tea, green tea, cocoa, cola-based soft drinks and energy drinks) and a bar of chocolate (100 g for milk chocolate, bitter chocolate). As regards the quantitative assessment of caffeine consumption by the examined adolescents, we used the average caffeine content in a portion of a product according to the size indicated in the survey. The mean values taking into account brewing time and the size of the portion to prepare the infusion (refers to beverages) were indicated basing on the studies in which such values had been determined [17,20,21]. Health risk assessment of caffeine intake with diet was based on the percentage of individuals with an intake exceeding the accepted doses considered safe at the usual EFSA intake of 3 mg/kg b.w. [5]. Specific adverse effects causing sleep disorders (>1.4 mg/kg b.w.), and anxiety (>2.5 mg/kg b.w.) were assessed according to the NNT (Nordic Working Group on Food Toxicology and Risk Evaluation) [22].
The analysis of quantitative data on caffeine intake with diet was performed with Microsoft Office Excel, with which the average caffeine dietary intake was calculated. The comparison of the collected quantitative data between the distinguished groups, by place of residence and gender, was performed with the non-parametric Mann-Whitney U test and Chi2. The level of significance was assumed at α = 0.05. Statistical calculations were performed with STATISTICA PL 13.0 (JU license, TIBCO Software Inc., Palo Alto, CA, USA).
The interpretation of BMI value was made using centile charts developed in Polish OLAF research [23]. Abdominal obesity was identified using the Waist to Height Ratio (WHtR) indicator with the constant cut-off value for both genders of ≥0.5 [24].

3. Results

A total of 599 students took part in the study, but the analysis included the results obtained from 508 respondents who correctly completed the questionnaire on the frequency of consumption of caffeinated products. As regards the study group, 34.3% of the participants drunk one cup of cocoa (250 mL) and 29.1% drunk a cup of tea daily. One cup of cola-type beverages was drunk by 27.2% of the participants and nearly 21.5% of them drank energy drinks. Half a bar of milk chocolate or bitter chocolate (50 g) was eaten by 41.5% and 24% of adolescents, respectively.
The characteristics of the diet and nutritional status of the studied group with respect to the gender of the studied persons are presented in Table 1. The group included 48.4% of boys and 51.6% of girls. Over half of the respondents (59.3%) were urban residents and 40.7% inhabited the rural areas of southern Poland. The average age of the respondents was 17.11 ± 0.57 years and their body weight was 64.18 ± 12.63 kg.

3.1. Caffeine Intake

Caffeine was not present in the diet of all the subjects (minimum intake: 0.00 mg). The maximum daily intake of caffeine among the subjects was 665.1 mg (10.36 mg/kg b.w./day). The average daily caffeine intake in the studied group consumed with drinks and other products was estimated at 98.54 mg/day. From the perspective of body weight it translated into 1.54 mg/kg b.w./day. There were no differences in gender groups in caffeine intake during the day (p = 0.9534) or in the validated value of mg/kg of body weight (p = 0.0632; Table 2).
Furthermore, no statistically significant differences were found as regards caffeine intake with diet according to the place of residence (p = 0.3485). On average, adolescents from rural areas consumed 99.5 mg of caffeine per day (1.59 mg/kg b.w.). The respective value for city citizens was 89.8 mg (1.46 mg/kg b.w.) per day.

3.2. Sources of Caffeine in the Diet

Black tea was the most frequently chosen source of caffeine in the diet. It was drunk by 20.2% of the respondents daily. Bitter chocolate, which was eaten by only 1% of respondents daily, was the least frequently chosen product (Figure 1).
Boys drank significantly more often cola-based soft drinks (24.8% vs. 17.6%; p = 0.0401) and ate bitter chocolate than girls (31.7% vs. 25.6% p = 0.0219) per week. The weekly consumption of instant coffee was significantly more common in girls than in boys (16.8% vs. 8.1%; p < 0.0001). The highest amounts of caffeine in the daily diet of the adolescents were consumed with black tea (26.9%), followed by green tea, and energy drinks, as shown in Figure 2. No differences were demonstrated in the groups with respect to the place of residence and the main sources of caffeine in the diet (≥0.05).
The average caffeine intake was 25.72 ± 40.13 mg for black tea, 15.52 ± 35.55 mg for green tea and 12.73 ± 33.30 mg for energy drinks. As regards gender groups, boys consumed significantly higher doses of caffeine with black tea (28.07 ± 39.81 mg vs. 23.52 ± 40.38 mg; p = 0.0230) and cola-based soft drinks (11.47 ± 20.76 mg vs. 10.01 ± 10.01 mg; p = 0.0068) and girls with instant coffee (10.04 ± 229.31 mg vs. 13.78 ± 31.99 mg; p = 0.0003; Table 3).

3.3. Risk Assessment of Excessive Caffeine Intake

The dose of caffeine causing sleep disorders was exceeded in over 40% of the examined adolescents. Girls significantly more often consumed caffeine in amounts causing anxiety and fear (Table 4). At the same time, more than 12% of the subjects consumed caffeine at a dose above 3 mg per kg of body weight. Among the respondents, 4.3% consumed caffeine at a dose higher than 5 mg per kg of body weight with their diet.

4. Discussion

Analyses of the dietary intake of caffeine products in children and adolescents are currently being carried out in many countries. Nevertheless, attempts to estimate its contribution from all dietary sources are problematic due to the limited research in this area and methodological difficulties.
Black tea was the main source of caffeine for a group of adolescents in the present study. Black tea (46%) and coffee (26%) were also the main sources of caffeine in the examined teenagers from Warsaw aged 17.1 ± 0.9 years [25]. According to Guelinckx et al., hot beverages (coffee, tea and other hot beverages) constituted a high percentage of total fluid intake in the sample of children from Poland (34%). A similar percentage was identified in adolescents [26]. In a study among younger age groups (11–13 years of age) in Warsaw, the majority of participants drank cola-based soft drinks (89.7%). Energy drinks were consumed by 23.8% of the examined children [27], in our study it was respectively 82.5% for cola-based drinks and 61.4% for energy drinks. In a similar study, cola-based soft drinks and cocoa were the most frequently consumed beverages containing caffeine [19]. Cola-based soft drinks, as a source of caffeine, were used by 97% of school pupils from Kutno (town in Poland). A total of 51% of them drank coffee and 48% declared the consumption of energy drinks [28]. In contrast to our own research and that of other Polish authors, the nature of beverages that are the source of caffeine in the diet of young Americans is different. They most commonly reach for beverages containing caffeine: soda (33%), followed by tea (28%) and coffee (25%) [29].
Caffeine intake, from all sources, in our study was 95.5 mg per day. In a study among younger age groups (11–13 years of age) in Warsaw, the daily median caffeine consumption was 4 mg [27]. As regards the group of adolescents aged 15.4 ± 1.6 living in the Warsaw area, the lowest caffeine intake with diet (reported using the 3-day diary recording method) was higher than in our own and it was 152 mg per day [30]. The maximum caffeine intake in the cited study from Warsaw, assuming the highest caffeine content in products and the strongest infusions, was about 274 mg/day [30], being more than twice as high as in our own research. Another group of adolescents reported the average caffeine intake to be 196 mg per day, which was more than half as high as in our study. In this study, 38% of the students overdosed caffeine at the level of 3 mg/kg body weight. It was observed significantly more often in girls (48%) than in boys (28%, p = 0.032) [25]. As regards 15-year-olds, the average caffeine intake with diet was 141 mg/day, which was reported on the basis of a questionnaire on the frequency of the consumption of beverages containing caffeine [28]. According to the NHANES study conducted in a group children and adolescents a decrease in caffeine intake from 175 mg per day to 142 mg per day was observed over time. The average caffeine intake was the highest for soda (20 mg/day) followed by tea (17 mg/day) and coffee (15 mg/day). The average caffeine intake with diet in the study group of 14–19-year-olds was 61 mg per day [29] and was about 35 mg lower than in our study.
Energy drinks are a source of caffeine in the diet of young people. They are especially popular among European teenagers, where, according to the data provided by EFSA, the prevalence of caffeine consumption is 68%. In this European study, the consumption of energy drinks was declared by 73% of teenagers from Poland and the estimated caffeine intake was 171.44 mg/day [31]. The average caffeine content in 100 mL of an energy drink is about 30 mg [17,32]. The caffeine content per serving size (250 to 500 mL) is in the range of variation 35 to 160 mg [32]. The average caffeine content in the 330 mL energy drink is 80 mg [33] Energy drinks were responsible for 6 mg/day of caffeine intake in the diet of American teenagers [29]. As regards European countries, the average exposure to caffeine with energy drinks was as high as 23.5 mg/day. In Polish respondents it was 16.20 mg/day [31], and in the present study it was 12.73 mg/day. The popularity of energy drinks among teenagers was also confirmed by the results of a study by Martyn et al., where the share of caffeine from such drinks was the highest among all the drinks that are its source in the diet. An increase in the consumption of caffeine from such products was observed on Fridays [34].
Risk assessment of excessive caffeine intake was one element of our study. High caffeine consumption is associated with the risk of adverse symptoms for the health of young people. The present research showed that 12.2% of the respondents exceeded caffeine dose of 3 mg/kg mc/day. According to the literature, products containing caffeine were present in the diet of young people also from the Warsaw region. The consumption of products containing caffeine was over 300 mg/day in almost 40% of cases [30]. The dose of 3 mg/kg b.w was exceeded by 38% of adolescents from Wierzbicka et al. study [25].
Caffeine intake which caused sleep disorders was reported in as many as 41.3% of the examined teenagers. Higher than in own study, average intake of caffeine led to sleep disturbance in 77% of the subjects from Warsaw area [30]. Higher caffeine intake is associated with the average shorter sleeping time and time spent in bed [35]. A study conducted in a sample of the American population of more than 40,000 participants in various age groups (ages from 13 to 65+) showed that the distribution of daily caffeine intake from all sources was the highest in the morning and in the evening (34%) [34]. Insufficient amount and poor quality of sleep are a serious problem among adolescents [36]. Results from survey in a group high school students in a Polish city show that only 11.5% of adolescents get enough sleep [37]. The prevalence of sleep disorder among adolescents from Indonesia occurred in 22.8% participants [38]. Compared to the US population, the Youth Risk Behavior Survey found that as many as 72.7% of students reported an average of <8 h of sleep per school night [39]. Sleep disturbances in adolescents, caused inter alia, by the consumption of caffeine, can lead serious public health problems like an excess body weight [40,41] as shown in the study of a group of adolescents from selected cities of Upper Silesia, Poland [42].
The dose causing anxiety was exceeded in 18.1% of young people from presented study and was lower than in the cited previously group of adolescents where 46% reported anxiety [29]. Among the adolescents surveyed in the Polish HBSC study (Health Behaviour in School-age Children), 41% of boys and 48% of girls reported feeling anxious more than once a week. These results were higher than the average for European and North American respondents overall [43].

5. Conclusions

Despite the fact that caffeine consumption in the study group was relatively low, over 12% of the subjects exceeded the safe level of caffeine consumption. Even low caffeine consumption among teenagers, as shown in our study, can cause sleep disturbances. Sleep disorders can lead to excess body weight in adolescents, still an ongoing and very important public health problem.

Author Contributions

Conceptualization, E.B.-B.; methodology, E.B.-B. and M.S.-Z.; software, P.J.; validation, E.B.-B. and P.J.; formal analysis, P.J.; investigation, E.B.-B. and P.J.; writing—original draft preparation, E.B.-B.; writing—review and editing, E.B.-B.; P.J. and M.S.-Z.; supervision, M.S.-Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Jagiellonian University Bioethics Commission (KBET/62/B/2013).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data sharing is not applicable to this article.

Acknowledgments

The authors would like to thank all participants in the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wikoff, D.; Welsh, B.T.; Henderson, R.; Brorby, G.P.; Britt, J.; Myers, E.; Goldberger, J.; Lieberman, H.R.; O’Brien, C.; Peck, J.; et al. Systematic review of the potential adverse effects of caffeine consumption in healthy adults, pregnant women, adolescents, and children. Food Chem. Toxicol. 2017, 109, 585–648. [Google Scholar] [CrossRef]
  2. Gunter, J.M.; Murphy, N.; Cross, J.A.; Dossus, L.; Dartois, L.; Fagherazzi, G.; Kaaks, R.; Kühn, T.; Boeing, H.; Aleksandrova, K.; et al. Coffee Drinking and Mortality in 10 European Countries. Ann. Int. Med. 2017, 167, 236–247. [Google Scholar] [CrossRef] [Green Version]
  3. Ding, M.; Bhupathiraju, S.N.; Satija, A.; Van Dam, R.M.; Hu, F.B. Long-Term Coffee Consumption and Risk of Cardiovascular Disease: A Systematic Review and a Dose-Response Meta-Analysis of Prospective Cohort Studies. Circulation 2014, 129, 643–659. [Google Scholar] [CrossRef] [Green Version]
  4. Grosso, G.; Stepaniak, U.; Micek, A.; Stefler, D.; Bobak, M.; Pajak, A. Coffee consumption and mortality in three Eastern European countries: Results from the HAPIEE (Health, Alcohol and Psychosocial factors In Eastern Europe) study. Public Health Nutr. 2017, 20, 82–91. [Google Scholar] [CrossRef] [Green Version]
  5. Agostoni, C.; Canani, R.B.; Fairweather-Tait, S.; Heinonen, M.; Korhonen, H.; La Vieille, S.; Marchelli, R. Scientific opinion on the safety of caffeine. EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA). EFSA J. 2015, 13, 4102. [Google Scholar]
  6. Bojarowicz, H.; Przygoda, M. Caffeine. Part I. Common use of caffeine and its effect on human organism. Probl. Hig. Epidemiol. 2012, 93, 8–13. [Google Scholar]
  7. Temple, J.L.; Bernard, C.; Lipshultz, S.E.; Czachor, J.D.; Westphal, J.A.; Mestre, M.A. The Safety of Ingested Caffeine: A Comprehensive Review. Front. Psychiatry 2017, 8. [Google Scholar] [CrossRef] [Green Version]
  8. Nawrot, P.; Jordan, S.; Eastwood, J.; Rotstein, J.; Hugenholtz, A.; Feeley, M. Effects of caffeine on human health. Food Addit. Contam. 2003, 20, 1–30. [Google Scholar] [CrossRef]
  9. Temple, J.L.; Ziegler, A.M.; Graczyk, A.M.; Crandall, A. Effects of acute and chronic caffeine on risk-taking behavior in children and adolescents. J. Psychopharmacol. 2017, 31, 561–568. [Google Scholar] [CrossRef]
  10. Temple, J.L.; Ziegler, A.M.; Graczyk, A.M.; Crandall, A.K. Reinforcing value of caffeinated and noncaffeinated beverages after acute exposure in children and adolescents. J. Caffeine Res. 2017, 7, 133–141. [Google Scholar] [CrossRef]
  11. Owens, J.A.; Weiss, M.R. Insufficient sleep in adolescents: Causes and consequences. Minerva Pediatr. 2017, 69, 326–336. [Google Scholar] [CrossRef] [PubMed]
  12. Kim, S.Y. Health Related Nutritional Knowledge and Dietary Behavior Regarding Caffeine Intake among High School Students in Yongin Region. Osong Public Health Res. Perspect. 2018, 9, 299–308. [Google Scholar] [CrossRef] [PubMed]
  13. Ahluwalia, N.; Frenk, S.M.; Quan, S.F. Screen time behaviours and caffeine intake in US children: Findings from the cross-sectional National Health and Nutrition Examination Survey (NHANES). BMJ Paediatr. Open 2018, 2, e000258. [Google Scholar] [CrossRef] [PubMed]
  14. Wierzejska, R. Caffeine – common ingredient in a diet and its influence on human health. Rocz PZH. 2012, 63, 141–147. [Google Scholar]
  15. Sojar, S.H.; Shrier, L.A.; Ziemnik, R.E.; Sherritt, L.; Spalding, A.L.; Levy, S. Symptoms Attributed to Consumption of Caffeinated Beverages in Adolescents. J. Caffeine Res. 2015, 5, 187–191. [Google Scholar] [CrossRef] [Green Version]
  16. Puri, K.S.; Suresh, K.R.; Gogtay, N.J.; Thatte, U.M. Declaration of Helsinki, 2008: Implications for stakeholders in research. J. Postgrad. Med. 2009, 55, 131–134. [Google Scholar] [CrossRef] [PubMed]
  17. Białas, M.; Łuczak, H.; Przygoński, K. The content of caffeine in some selected coffee beverage dry mixes. Bromat. Toxicol. Chem. 2009, 42, 426–430. [Google Scholar]
  18. Szymelfejnik, E.J.; Wądołowska, L.; Cichon, R.; Przysławski, J.; Bolesławska, I. Dairy products frequency questionnnaire (ADOS-Ca) calibration for calcium intake evaluation. Pol. J. Food Nutr. Sci. 2006, 56, 229–236. [Google Scholar]
  19. Błaszczyk, E.; Piórecka, B.; Dudek, J.; Jagielski, P.; Schlegel-Zawadzka, M. An attempt to estimate caffeine consumption by middle school students from Przyborów. Bromat. Toxicol. Chem. 2014, 47, 284–289. [Google Scholar]
  20. Jarosz, M.; Wierzejska, R.; Mojska, H.; Siuba, K.Ś.M. Caffeine content in foodstuffs. Bromat. Toxicol. Chem. 2009, 42, 776–781. [Google Scholar]
  21. Wierzbicka, E.; Gałkowska, K.; Brzozowska, A. The assessment of daily caffeine intake in a selected group of adult women. Probl. Hig. Epidemiol. 2010, 91, 564–571. [Google Scholar]
  22. Meltzer, H.M.; Fotland, T.Ø.; Alexander, J.; Elind, E.; Hallström, H.; Lam, R.H.; Liukkonen, K.-H.; Petersen, M.A.; Solbergsdottir, E.J. Risk Assessment of Caffeine among Children and Adolescents in the Nordic Countries; Nordiska Ministerrådets Förlag: Copenhagen, Denmark, 2008; ISBN 978-92-893-1731-3. [Google Scholar]
  23. Kulaga, Z.; Litwin, M.; Tkaczyk, M.; Różdżyńska, A.; Barwicka, K.; Grajda, A.; Świąder, A.; Gurzkowska, B.; Napieralska, E.; Pan, H. The height-, weight-, and BMI-for-age of Polish school-aged children and adolescents relative to international and local growth references. BMC Public Health 2010, 10, 109. [Google Scholar] [CrossRef] [Green Version]
  24. Nawarycz, T.; Ostrowska-Nawarycz, L. Abdominal obesity in children and youth—Experience from the city of Łódź. Endokrynologia Otyłość Zaburzenia Przemiany Materii 2007, 3, 1–9. [Google Scholar]
  25. Wierzbicka, E.; Brzozowska, A.; Mróz, A. Assessment of dietary caffeine intake among school-age adolescents. Probl. Hig. Epidemiol. 2017, 98, 407–410. [Google Scholar]
  26. Guelinckx, I.; Iglesia, I.; Bottin, J.H.; De Miguel-Etayo, P.; González-Gil, E.M.; Salas-Salvadó, J.; Kavouras, S.A.; Gandy, J.; Martinez, H.; Bardosono, S.; et al. Intake of water and beverages of children and adolescents in 13 countries. Eur. J. Nutr. 2015, 54, 69–79. [Google Scholar] [CrossRef] [Green Version]
  27. Wierzejska, R.; Wolnicka, K.; Jarosz, M.; Jaczewska-Schuetz, J.; Taraszewska, A.; Siuba-Strzelińska, M. Caffeine intake from carbonated beverages among primary school-age children. Dev. Period Med. 2016, 20, 150–156. [Google Scholar]
  28. Górnicka, M.; Pierzynowska, J.; Kaniewska, E.; Kossakowska, K.; Woźniak, A. School pupils and university students surveyed for drinking beverages containing caffeine. Rocz PZH 2014, 2, 113–117. [Google Scholar]
  29. Drewnowski, A.; Rehm, C.D. Sources of Caffeine in Diets of US Children and Adults: Trends by Beverage Type and Purchase Location. Nutrients 2016, 8, 154. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Wierzbicka, E.; Brzozowska, A.; Dróżdż, K. Risk assessment of excessive caffeine intake in a selected group of adolescents. Probl. Hig. Epidemio 2013, 4, 820–824. [Google Scholar]
  31. Zucconi, S.; Volpato, C.; Adinolfi, F.; Gandini, E.; Gentile, E.; Loi, A.; Fioriti, L. Gathering consumption data on specific consumer groups of energy drinks. EFSA Support. Publ. 2013, 10, 394E. [Google Scholar] [CrossRef] [Green Version]
  32. Keaver, L.; Gilpin, S.; Fernandes da Silva, J.C.; Buckley, C.; Foley-Nolan, C. Energy drinks available in Ireland: A description of caffeine and sugar content. Public Health Nutr. 2017, 20, 1534–1539. [Google Scholar] [CrossRef] [Green Version]
  33. Nehlig, A. Effects of coffee/caffeine on brain health and disease: What should I tell my patients? Pract. Neurol. 2016, 16, 89–95. [Google Scholar] [CrossRef] [Green Version]
  34. Martyn, D.; Lau, A.; Richardson, P.; Roberts, A. Temporal patterns of caffeine intake in the United States. Food Chem. Toxicol. 2018, 111, 71–83. [Google Scholar] [CrossRef]
  35. Ogilvie, R.P.; Lutsey, P.L.; Widome, R.; Laska, M.N.; Larson, N.; Neumark-Sztainer, D. Sleep indices and eating behaviors in young adults: Findings from Project EAT. Public Health Nutr. 2018, 21, 689–701. [Google Scholar] [CrossRef] [Green Version]
  36. Gradisar, M.; Gardner, G.; Dohnt, H. Recent worldwide sleep patterns and problems during adolescence: A review and metaanalysis of age, region, and sleep. Sleep Med. 2011, 12, 110–118. [Google Scholar] [CrossRef]
  37. Kadzikowska-Wrzosek, R. Insufficient Sleep among Adolescents: The Role of Bedtime Procrastination, Chronotype and Autonomous vs. Controlled Motivational Regulations. Curr. Psychol. 2020, 39, 1031–1040. [Google Scholar] [CrossRef]
  38. Theodorus, D.; Windiani, I.G.A.T.; Adnyana, I.G.A.N.S. The Prevalence and Risk Factors of Sleep Disorders Among Adolescent in Junior High School. Am. J. Pediatr. 2020, 6, 392–396. [Google Scholar] [CrossRef]
  39. Kansagra, S. Sleep Disorders in Adolescents. Pediatrics 2020, 145, S204–S209. [Google Scholar] [CrossRef] [PubMed]
  40. Lizończyk, I.; Jośko-Ochojska, J. Relationship of sleep disorders with overweight and obesity in adolescents. Hyg. Public Health 2016, 51, 322–328. [Google Scholar]
  41. Aepli, A.; Kurth, S.; Tesler, N.; Jenni, O.G.; Huber, R. Caffeine Consuming Children and Adolescents Show Altered Sleep Behavior and Deep Sleep. Brain Sci. 2015, 5, 441–455. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Lizończyk, I.; Jośko-Ochojska, J. Relationship between overweight, obesity and sleep disorders in adolescents from selected cities of Upper Silesia, Poland. Agric. Environ. Med. 2021, 28, 193–197. [Google Scholar] [CrossRef]
  43. Mazur, J.; Małkowska-Szkutnik, A. Student Health in 2018 against the Background of a New Research Model HBSC; Instytut Matki I Dziecka: Warsaw, Poland, 2018. [Google Scholar]
Nutrients 13 02084 g001 550
Figure 1. Frequency of the consumption of selected caffeine source products in the total study group (%).
Figure 1. Frequency of the consumption of selected caffeine source products in the total study group (%).
Nutrients 13 02084 g001
Nutrients 13 02084 g002 550
Figure 2. The share of the individual sources of caffeine in the diet of the study group during the day (%).
Figure 2. The share of the individual sources of caffeine in the diet of the study group during the day (%).
Nutrients 13 02084 g002
Table
Table 1. Dietary habits and nutritional status of the study group according to gender.
Table 1. Dietary habits and nutritional status of the study group according to gender.
ParameterTotal
n = 508
%		Boys
n = 246
%		Girls
n = 262
%		p
Meals
Breakfast82.186.677.80.0104
Second breakfast72.069.174.70.1826
Lunch94.996.793.10.0466
Afternoon tea41.440.242.50.6273
Dinner84.292.776.2<0.0001
Break Between Meals
≤2 h21.521.022.0
3–4 h62.462.961.90.9254
≥4 h16.116.216.1
Fast Food Consumption
I do not eat12.012.611.5
Several times a month or less67.963.472.00.0749
Once a week or more often20.124.016.5
BMI, Interpretation
Underweight15.410.120.30.0068
Normal67.974.062.1
Overweight11.210.212.3
Obese5.55.75.4
Abdominal obesity by WHtR3.74.53.10.3999
n—number, p—level of statistical significance in the gender group, Chi2 test, BMI—Body Mass Index, WHtR—Waist-to-Height ratio, significant differences are marked in bold.
Table
Table 2. Caffeine intake per day (mg) and per body weight (mg/kg b.w.).
Table 2. Caffeine intake per day (mg) and per body weight (mg/kg b.w.).
Estimation of
Caffeine Intake		Total
n = 508
X (SD)
Me
Min-Max		Boys
n = 246
X (SD)
Me
Min-Max		Girls
n = 262
X (SD)
Me
Min-Max		p
Caffeine mg/day98.54 (69.5)96.21 (96.79)94.91 (96.70)0.9534
69.571.7066.40
0.00–665.10.00–535.130.00–665.1
Caffeine mg/kg b.w./day1.54 (1.6)1.42 (1.50)1.66 (1.70)0.0632
1.00.961.07
0.00–10.740.00–7.670.00–10.74
n—number, X—mean, SD—standard deviation, Me—median, Min—minimum, Max—maximum, p—level of statistical significance in the gender group, U Mann-Whitney test, b.w.—body weight.
Table
Table 3. Average caffeine intake in the gender groups (mg).
Table 3. Average caffeine intake in the gender groups (mg).
Sources Total
n = 508
X (SD)		Boys
n = 246
X (SD)		Girls
n = 262
X (SD)		p
Black tea25.72 (40.13)28.07 (39.81)23.52 (40.38)0.0230
Green tea15.52 (35.55)12.64 (31.16)18.22 (39.10)0.1363
Energy drink12.73 (33.30)14.89 (34.32)10.70 (32.24)0.1920
Instant caffee11.97 (30.75)10.04 (29.31)13.78 (31.99)0.0003
Cola-type beverage10.72 (21.55)11.47 (20.76)10.01 (22.28)0.0068
Roasted coffee6.93 (25.96)5.38 (21.79)8.38 (29.32)0.3518
Milk chocolate5.92 (11.84)6.64 (13.66)5.25 (9.81)0.6216
Bitter chocolate4.40 (14.83)5.63 (17.32)3.25 (11.95)0.0811
Cocoa1.62 (3.48)1.45 (3.39)1.78 (3.57)0.2375
n—number, X—mean, SD—standard deviation, p—level of statistical significance in the gender group, U Mann-Whitney test, significant differences are marked in bold.
Table
Table 4. Risk assessment of caffeine intake considering selected cut-off points [%].
Table 4. Risk assessment of caffeine intake considering selected cut-off points [%].
Cut-Off Points Total
n = 508		Boys
n = 246		Girls
n = 262		p
Caffeine >1.4 mg/kg b.w.41.340.242.40.6273
Caffeine >2.5 mg/kg b.w.18.114.521.40.0487
Caffeine >3.0 mg/kg b.w.12.210.214.10.1731
n—number, p—level of statistical significance in the gender groups, Chi2 test, b.w.—body weight.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Błaszczyk-Bębenek, E.; Jagielski, P.; Schlegel-Zawadzka, M. Caffeine Consumption in a Group of Adolescents from South East Poland—A Cross Sectional Study. Nutrients 2021, 13, 2084. https://doi.org/10.3390/nu13062084

AMA Style

Błaszczyk-Bębenek E, Jagielski P, Schlegel-Zawadzka M. Caffeine Consumption in a Group of Adolescents from South East Poland—A Cross Sectional Study. Nutrients. 2021; 13(6):2084. https://doi.org/10.3390/nu13062084

Chicago/Turabian Style

Błaszczyk-Bębenek, Ewa, Paweł Jagielski, and Małgorzata Schlegel-Zawadzka. 2021. "Caffeine Consumption in a Group of Adolescents from South East Poland—A Cross Sectional Study" Nutrients 13, no. 6: 2084. https://doi.org/10.3390/nu13062084

APA Style

Błaszczyk-Bębenek, E., Jagielski, P., & Schlegel-Zawadzka, M. (2021). Caffeine Consumption in a Group of Adolescents from South East Poland—A Cross Sectional Study. Nutrients, 13(6), 2084. https://doi.org/10.3390/nu13062084

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop