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Background:
Systematic Review

The Impact of Lockdowns on Caffeine Consumption: A Systematic Review of the Evidence

by
Dimitra Rafailia Bakaloudi
1,
Kleo Evripidou
1,
Ranil Jayawardena
2,
João Breda
3,
Theodoros Dardavessis
1,
Kalliopi-Anna Poulia
4 and
Michail Chourdakis
1,*
1
Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
2
Department of Physiology, Faculty of Medicine, University of Colombo, Colombo 00700, Sri Lanka
3
WHO European Office for the Prevention and Control of NCDs, WHO Regional Office for Europe, Moscow 125009, Russia
4
Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, 118 55 Athens, Greece
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(9), 5255; https://doi.org/10.3390/ijerph19095255
Submission received: 30 March 2022 / Revised: 22 April 2022 / Accepted: 23 April 2022 / Published: 26 April 2022
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Abstract

:
The Coronavirus disease 2019 (COVID-19) has been characterized by the World Health Organization as a pandemic in March 2020 and the lockdown measures that were implemented in an effort to limit the transmission of the virus affected the daily life of many people in all over the world. The aim of this systematic review was to investigate the changes during/after the lockdowns in caffeine consumption by coffee and energy drinks. A systematic literature search was conducted in three databases (PubMed, Embase, Web of Science) up to 31 December 2021 and out of 19,511 studies found and 12,885 screened, 16 studies were included according to eligibility criteria. Results regarding coffee consumption showed that a significant part of individuals decreased their consumption and in five studies an increase was reported, including women and seniors >60 years old. Energy drinks were also consumed less during the lockdown compared to the pre-lockdown time. Attention should be given for menopausal women where an increase in coffee consumption was found which could impair bone density, but further research is needed in order to make safe conclusions.

Graphical Abstract

1. Introduction

In March 2020, the Coronavirus disease 2019 (COVID-19) was declared by the World Health Organization as a pandemic [1]. As of 7 January 2022 more than 300,000,000 COVID-19 cases were reported and more than 5,400,000 people died from this disease. [2] Due to the severity of the acute respiratory syndrome (ARDS), which consists a severe complication of COVID-19 [3], along with the significantly rapid spreading of the virus, the governments of a great majority of countries around the world decided to implement protective measures in order to effectively slow down the transmission. With the first global lockdown being on January 2020 [4], a new reality of isolation and social-distancing was a fact which undoubtedly affected people’s daily life almost worldwide. Schools, universities, business’ and undoubtedly the whole socioeconomic structure had been affected, resulting to additional limitations in daily routine [4]. Simultaneously, depressive, anxiety and post-traumatic symptoms either in home-isolated individuals or in hospitalized COVID-19 patients were reported [5].
The impact of the measures taken to prevent the spread, could also be reflected on lifestyle-related habits and patterns which were found to be affected in many countries [6,7,8,9,10,11]. According to the literature, drinking coffee or other caffeine-containing drinks can have positive effects on mood and reduction of stress and can also enhance attention and alertness [12,13,14]. Therefore, a change in lifestyle behaviors such as coffee and energy drinks consumption that can also boost performance and endurance [13], could be a way to respond to the pandemic-related stress.
Changes in caffeine consumption during the period of self-isolation and/or lockdowns, are important to be identified, as they could be related with both physical and mental health consequences [12,13,14]. According to our knowledge there is no published study in which the behavior pattern of caffeine consumption during the pandemic was examined. In this systematic review we aimed to investigate the impact of lockdowns on the consumption of the main sources of caffeine (i.e., coffee and energy drinks).

2. Materials and Methods

This is a systematic review which has been conducted according to the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guidelines [15] (Supplementary File S1). The protocol of this study in which the research methodology of the study is described in detail was submitted to the OSF platform (https://osf.io/2mye7/, accessed on 3 December 2021).

2.1. Search Strategy

A systematic literature search in the largest and most up-to-dated databases, PubMed via MEDLINE, Web of Science and EMBASE has been conducted independently by two authors (DB and KE), up to 31 December 2021, using the following search string for PubMed database: “((caffeine) OR (coffee) OR (energy drinks) OR (nutrition) OR (eating habits) OR (lifestyle)) AND ((COVID-19) OR (COVID) OR (COVID-19) OR (SARS-CoV-2) OR (lockdown))”, and it has been modified accordingly for the other databases. (See Supplementary File S1 for details). The reference lists of the articles selected were added in a reference manager software (Endnote X9 for Windows, Thomson Reuters) and were screened manually in order to obtain additional data. Subsequently, total hits obtained from the three databases were pooled together and duplicate articles were removed. Retrieved articles were screened by reading the article ‘title’, ‘abstract’ and ‘full-text’. The filtered articles were further screened by reading the individual manuscripts, and those not satisfying inclusion criteria (given below) were excluded. After duplicates removal, the remaining studies were screened for eligibility by two reviewers (DB and KE). Any disagreement was solved by the involvement of a third reviewer (MC). Reference lists of the retrieved articles were also screened for other relevant articles.

2.2. Inclusion-Exclusion Criteria

In this systematic review we searched for observational studies (prospective, retrospective cohort studies and cross-sectional studies) in which information regarding caffeine consumption before and during/after the lockdown period was reported. Eligibility criteria were the following: (1) adult population (≥18 years old), (2) reported caffeine consumption (number/portion/quantity of coffee and/or energy drinks, or grams of caffeine), (3) Information regarding change in any of caffeine, coffee, or energy drinks consumption during/after the lockdowns period. Studies reporting tea consumption were excluded, due to the numerous variations of tea and the uncertainty regarding the levels of caffeine that is contains. Editorials, reviews, and studies published not either in English or Spanish language were also excluded.

2.3. Data Extraction-Quality Assessment

Data from included studies were extracted independently by two reviewers (DB and KE) in a standardized Microsoft Excel® form. Any disagreement was solved by consensus. Information extracted from each study were country origin, sex, age, and the subgroup of participants if applicable, time of the survey conducted and information regarding caffeine, coffee, and energy drinks consumption before and during/after the lockdown periods. In case of missing data, the corresponding authors were to be contacted by email. Main outcome of this study was to examine the change on caffeine consumption before and during/after the lockdowns by examining its main sources, namely coffee and energy drinks consumption.
Assessment of the quality of included studies was performed by two authors (DB and KE) using the Joanna Briggs Institute (JBI) Critical Appraisal tools for cross sectional studies [16]. Any discrepancy was solved by consensus.

3. Results

3.1. Search Results

In total, 19,511 studies were identified though the systematic literature search. After removing duplicates, 12,885 were screened for eligibility. Finally, according to our inclusion/exclusion criteria, 16 studies were characterized as acceptable to be included in this systematic review [17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]. During full-text articles assessment, studies which were not relevant to the review topic, in which caffeine consumption before and after/during lockdown was not reported (wrong outcome), which did not examine adults (wrong population) and which were not observational studies (wrong study design), were excluded. All the details regarding the eligibility process of the included studies can be seen in the flow diagram in Figure 1.
Characteristics of the eligible studies can be found in Table 1 and Table 2 including country origin, age, sex and the subgroup of population if applicable. In total 67,241 adults from Austria [31], Colombia [29], Croatia [23], China [26], France [21], Germany [28], Italy [19,20,22,27], Kuwait [25], Poland [18,24,31], Saudi Arabia [17], Turkey [32], and USA [30] were included.

3.2. Quality Assessment

Results of the quality assessment according to the JBI Checklist can be found in Figure 2 and Table 3. According to the judgment of the authors, two out of 16 studies were characterized as “best” regarding their quality [18,21]. Regarding the remaining 14 studies unclear statements and/or biases were detected with regards to questions referred to validation of exposure measures, criteria for measurement, identification of confounding factors and strategies to deal with [19,20,22,23,24,25,26,27,28,29,30,31,32].

3.3. Coffee Consumption

In 14 out of 16 studies information about coffee consumption was reported [17,19,20,21,22,23,25,26,27,28,29,30,31,32]. In the majority of included studies, coffee consumption tended to stay stable during/after the lockdown periods from February to December 2020 [19,20,22,23,26,27,28,32]. In one study from Saudi Arabia [17], despite the slight decrease of the amount of caffeine that was reported during/after the lockdown period (11.3 g/d during/after vs. 11.6 g/d before the lockdown), the overall quantity of coffee (in mL) was found to be increased during/after the lockdown period compared to the pre-lockdown time (159.4 mL/d vs. 143 mL/d). Increased coffee consumption was reported in France, by Deschasaux-Tanguy [21], where 13.5% of the participants stated that their coffee consumption was higher during/after the lockdown compared to the pre-lockdown period. However, in the same study information regarding individuals who did not change their consumption is missing. In a group of menopausal women from Italy coffee consumption was increased for a significant part of the participants (28.6 and 29.0%) during the two lockdown periods [20]. Similarly, increased consumption was reported for almost a third of participants in studies led by Palmer and Yilmaz [28,32]. Moreover, servings of coffee were found to be slightly increased in a Colombian study led by Pertuz-Cruz (1.61 servings after/during the lockdown compared to 1.57 servings in the pre-lockdown time) [29].
In the study led by Husain regarding the Americano coffee, [25] subjects who consumed moderate amounts of coffee stated that their consumption was decreased during the lockdown period, whereas subjects who consumed more than 5 cups of coffee per day, increased their coffee consumption during/after the lockdown. Arabic coffee consumption was also decreased for moderate coffee drinkers and only for adults that used to drink more than 6 cups of coffee per day, a slight increase in their consumption was reported (form 4.6% before to 4.8% after/during the lockdown) [25]. Details regarding coffee consumption before and after/during the lockdown as were found in eligible studies are presented in Table 2.
Decreased caffeine consumption after/during the lockdown was stated in a study from USA (247 mg before and 234 mg after/during the lockdown) [30] and in the same pattern, coffee consumption was reported as decreased after/during the lockdown with regards to Polish, Austrian and UK populations [31].

3.4. Energy Drinks

Information with regards to energy drinks consumption was stated only in two studies, both from Poland (18, 24). Energy drinks consumption was found to be unchanged for most of the participants (93.4%) according to Górnicka et al., whereas 5% of the participants decreased their consumption [24]. Moreover, in Błaszczyk-Bebenek et al. [18] the frequency of energy drinks consumption was found to be decreased after/during the lockdown period, with a slight increase (from 0.3–0.6%) reported among individuals who consumed these beverages once a day. Results of energy drinks consumption before and after/during the lockdown period can be found in Table 3.

4. Discussion

According to our knowledge this is the first systematic review that aimed to investigate the changes in caffeine consumption during/after the lockdowns. More than 67,000 adults from a significant part of the world were examined regarding their caffeine, coffee and energy drinks consumption.
Results with regards to coffee consumption showed that for the majority of individuals this habit was not changed. However, for a significant part (8.4–26.4%) of individuals this consumption was decreased [17,19,21,22,26,27], and the highest reduction was observed in Italy [27]. The most possible explanation for this decrease might be the closing of coffee shops during the period of lockdown and the significant less opportunities to meet with friends “for a coffee”. In three studies from Italy where different groups of people were examined, coffee consumption presented a tendency towards decrease for the general population [27] and seniors >60 years old [22], but a tendency towards increase was reported for menopausal women in all the lockdowns (20). Decreased consumption was also found in data from Austria, Poland, UK and USA [30,31]. Increased consumption was reported in a three studies where general population was included [21,28,29,32]. In a great interest is the fact that in the study from Saudi Arabia quantity of coffee was found to be increased but the amount of caffeine containing was lower compared to the pre-lock down time [17]. One possible explanation could be that during the restriction time people continued to consume habitually coffee, but they chose to avoid the effects of caffeine by using decaffeinated products. Nevertheless, further research is necessary in this field.
There is little evidence regarding moderate consumption of coffee and health risks [33,34]. Some data support that caffeine has positive and/or negative impact on brain [35,36,37,38,39], lungs [40,41], liver [42,43,44], heart [34,45,46] and endocrine [47,48] function or acts as immunomodulator [49] but further research is needed in the field of clinical impact of coffee.
However, of great interest is the fact that a tendency towards an increase of coffee consumption was found in the subgroup of menopausal women [20]. Caffeine consumption even by consuming one cup of coffee per day, can increase the risk of fractures especially for women [34,50]. During the menopause, estrogen deficiency impairs the bone density [51] and therefore caffeine consumption should be controlled and limited. Moreover, caffeine has been blamed among factors that enhance menopausal symptoms and particularly vasomotor symptoms [52].
In addition to that, increased caffeine intake has been linked with adverse effects on aquatic ecosystems which could be a dangerous pollutant [53]. Moreover, according to the European Food Society Authority (EFSA), coffee consumption leads to increased exposure of furan and other compounds, such as 2- and 3- methylfurans, which may be responsible for liver impairments and neoplasms [54]. Acrylamide, which is known for its carcinogenic effects, is also found in coffee products [55], and roasted coffee is major source of ochratoxin A which consists a health concern due to its genotoxicity [56].
On the other hand, there is evidence which support that caffeine consumption can reduce the incidence of post-menopausal breast [57] and endometrial cancer [58]. In general, according to recent studies caffeine can be a part of a diet and some negative outcomes that emerge from coffee consumption may not a result of caffeine itself [59,60].
In the Husain et al. study, which had data about the frequency of consumption of Americano and Arabic coffee, a decrease in consumption was reported for both types of coffee [25]. The extent of decrease of Americano coffee was found to be greater in comparison to Arabic coffee reduction possibly due to closed coffee shops [25]. However, not only Arabic coffee but also other types of coffee have been associated with increased total cholesterol [61], triglycerides and LDL levels [62] and therefore might deteriorate the lipidemic profile of coffee drinkers.
Regarding energy drinks only in two studies from Poland relevant data was available [18,24]. Energy drinks usually contain 80–150 mg per 236 mL [63], and they can lead to cardiovascular [64,65,66], neurological [67,68,69] and gastrointestinal [70,71] negative effects. Even though alcohol consumption showed a tendency towards increase during the COVID-19 lockdowns [10], energy drinks which often consumed in combination with alcohol, did not follow the same pattern and possible explanations might be the closing of nightclubs and lower need for an “energy boost” during the lockdown periods.
This study can be characterized by several strengths. Firstly, this is the first systematic review that investigated caffeine consumption after/during the lockdown periods by examining coffee and energy drinks consumption. Eleven studies were included from a significant geographical part of the world and more than 67,000 adults were included meaning that a quite large sample of population has been examined. Moreover, the quality of studies, according to the JBI checklist, was rather satisfactory making our results accurate enough. Limitations of our studies include the fact that information regarding the representativeness of each sample size was not reported in all of them. In addition, results for energy drinks consumption were only from one country. Besides, the fact that information of the studies was provided by self-reported questionnaires could lead to biases. Moreover, p-values were not reported in all studies and information regarding statistical significance is missing. Furthermore, the absence of evidence regarding the content of caffeine and the missing information in cases of decaffeinated coffee consumption could affect the accuracy of our results. Lastly, only studies in English and Spanish language are part of this systematic review and therefore related articles in any other language are not part of this study. Due to the lack of data, we were not able to perform a meta-analysis.

5. Conclusions

Lockdowns undoubtedly affected lifestyle behaviors of adults. Caffeine consumption showed a tendency towards decreased for a significant part of people. Attention may be needed regarding coffee consumption for menopausal women, but further research is needed to make safe conclusions. Energy drinks consumption was found to be decreased which is considered to be a positive impact of the lockdown period.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph19095255/s1, Supplementary File S1: Search terms of electronic databases. Supplementary File S2: PRISMA 2020 checklist, Results of the quality assessment of included studies according to the JBI Checklist.

Author Contributions

D.R.B. and K.E. searched the databases; D.R.B., K.E. and M.C. wrote the paper; R.J., T.D., J.B. and M.C. made the necessary recommendations; and D.R.B., R.J., J.B., T.D., K.-A.P. and M.C. revised the manuscript. All authors have read and agreed to the published version of the manuscript. JB is a staff member of WHO. The author alone is responsible for the views expressed in this article, and they do not necessarily represent the views, decisions, or policies of the institutions with which they areaffiliated.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ARDS: Acute Respiratory Syndrome, COVID-19: Coronavirus disease 2019, EFSA: European Food Society Authority, JBI: Joanna Briggs Institute, PRISMA: Preferred Reporting Items for Systematic Reviews and Meta Analyses, USA: United States of America, WHO: World Health Organization.

References

  1. Baloch, S.; Baloch, M.A.; Zheng, T.; Pei, X. The Coronavirus Disease 2019 (COVID-19) Pandemic. Tohoku J. Exp. Med. 2020, 250, 271–278. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Worldometer. COVID-19 Coronavirus Pandemic 2020. 2020. Available online: https://www.worldometers.info/coronavirus/ (accessed on 25 December 2021).
  3. Gibson, P.G.; Qin, L.; Puah, S.H. COVID-19 acute respiratory distress syndrome (ARDS): Clinical features and differences from typical pre-COVID-19 ARDS. Med. J. Aust. 2020, 213, 54–56.e1. [Google Scholar] [CrossRef] [PubMed]
  4. Koh, D. COVID-19 lockdowns throughout the world. Occup. Med. 2020, 70, 322. [Google Scholar] [CrossRef]
  5. Mohamed, A.E.; Yousef, A.M. Depressive, anxiety, and post-traumatic stress symptoms affecting hospitalized and home-isolated COVID-19 patients: A comparative cross-sectional study. Middle East Curr. Psychiatry 2021, 28, 1–12. [Google Scholar] [CrossRef]
  6. van der Werf, E.T.; Busch, M.; Jong, M.C.; Hoenders, H.J.R. Lifestyle changes during the first wave of the COVID-19 pandemic: A cross-sectional survey in the Netherlands. BMC Public Health 2021, 21, 1226. [Google Scholar] [CrossRef]
  7. Enriquez-Martinez, O.G.; Martins, M.C.T.; Pereira, T.S.S.; Pacheco, S.O.S.; Pacheco, F.J.; Lopez, K.V.; Huancahuire-Vega, S.; Silva, D.A.; Mora-Urda, A.I.; Rodriguez-Vásquez, M.; et al. Diet and Lifestyle Changes During the COVID-19 Pandemic in Ibero-American Countries: Argentina, Brazil, Mexico, Peru, and Spain. Front. Nutr. 2021, 8, 671004. [Google Scholar] [CrossRef]
  8. Di Renzo, L.; Gualtieri, P.; Pivari, F.; Soldati, L.; Attinà, A.; Cinelli, G.; Leggeri, C.; Caparello, G.; Barrea, L.; Scerbo, F.; et al. Eating habits and lifestyle changes during COVID-19 lockdown: An Italian survey. J. Transl. Med. 2020, 18, 229. [Google Scholar] [CrossRef]
  9. Balanzá-Martínez, V.; Kapczinski, F.; Cardoso, T.D.A.; Atienza-Carbonell, B.; Rosa, A.R.; Mota, J.C.; De Boni, R.B. The assessment of lifestyle changes during the COVID-19 pandemic using a multidimensional scale. Rev. Psiquiatr. Y Salud Ment. 2021, 14, 16–26. [Google Scholar] [CrossRef]
  10. Bakaloudi, D.R.; Jeyakumar, D.T.; Jayawardena, R.; Chourdakis, M. The impact of COVID-19 lockdown on snacking habits, fast-food and alcohol consumption: A systematic review of the evidence. Clin. Nutr. 2021; in press. [Google Scholar] [CrossRef]
  11. Bakaloudi, D.R.; Barazzoni, R.; Bischoff, S.C.; Breda, J.; Wickramasinghe, K.; Chourdakis, M. Impact of the first COVID-19 lockdown on body weight: A combined systematic review and a meta-analysis. Clin. Nutr. 2021; in press. [Google Scholar] [CrossRef]
  12. Haskell, C.F.; Kennedy, D.; Wesnes, K.; Scholey, A. Cognitive and mood improvements of caffeine in habitual consumers and habitual non-consumers of caffeine. Psychopharmacol. 2005, 179, 813–825. [Google Scholar] [CrossRef]
  13. Haskell-Ramsay, C.F.; Jackson, P.A.; Forster, J.S.; Dodd, F.L.; Bowerbank, S.L.; Kennedy, D.O. The Acute Effects of Caffeinated Black Coffee on Cognition and Mood in Healthy Young and Older Adults. Nutrients 2018, 10, 1386. [Google Scholar] [CrossRef] [Green Version]
  14. European Food Safety Authority (EFSA). Scientific opinion on the substantiation of health claims related to caffeine and increased fat oxidation leading to a reduction in body fat mass (ID 735, 1484), increased energy expenditure leading to a reduction in body weight (ID 1487), increased alertness (ID 736, 1101, 1187, 1485, 1491, 2063, 2103) and increased attention (ID 736, 1485, 1491, 2375) pursuant to article 13(1) of regulation (EC) No. 1924/2006. EFSA J. 2011, 9, 2054. [Google Scholar]
  15. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, 105906. [Google Scholar] [CrossRef]
  16. The Joanna Briggs Institute Critical Appraisal Tools. Checklist for Analytical Cross Sectional Studies. Available online: https://jbi.global/sites/default/files/2019-05/JBI_Critical_Appraisal-Checklist_for_Analytical_Cross_Sectional_Studies2017_0.pdf (accessed on 25 March 2022).
  17. Al-Musharaf, S.; Aljuraiban, G.; Bogis, R.; Alnafisah, R.; Aldhwayan, M.; Tahrani, A. Lifestyle changes associated with COVID-19 quarantine among young Saudi women: A prospective study. PLoS ONE 2021, 16, e0250625. [Google Scholar] [CrossRef]
  18. Błaszczyk-Bębenek, E.; Jagielski, P.; Bolesławska, I.; Jagielska, A.; Nitsch-Osuch, A.; Kawalec, P. Nutrition Behaviors in Polish Adults before and during COVID-19 Lockdown. Nutrients 2020, 12, 3084. [Google Scholar] [CrossRef]
  19. Cirillo, M.; Rizzello, F.; Badolato, L.; De Angelis, D.; Evangelisti, P.; Coccia, M.E.; Fatini, C. The effects of COVID-19 lockdown on lifestyle and emotional state in women undergoing assisted reproductive technology: Results of an Italian survey. J. Gynecol. Obstet. Hum. Reprod. 2021, 50, 102079. [Google Scholar] [CrossRef] [PubMed]
  20. Coppi, F.; Nasi, M.; Farinetti, A.; Manenti, A.; Gallina, S.; Mattioli, A.V. Physical Activity, Sedentary Behaviour, and Diet in Menopausal Women: Comparison Between COVID19 “first wave” and “second wave” of pandemic in Italy. Prog. Nutr. 2021, 23, e2021194. [Google Scholar]
  21. Deschasaux-Tanguy, M.; Druesne-Pecollo, N.; Esseddik, Y.; de Edelenyi, F.S.; Allès, B.; Andreeva, V.A.; Baudry, J.; Charreire, H.; Deschamps, V.; Egnell, M.; et al. Diet and physical activity during the coronavirus disease 2019 (COVID-19) lockdown (March–May 2020): Results from the French NutriNet-Sante cohort study. Am. J. Clin. Nutr. 2021, 113, 924–938. [Google Scholar] [CrossRef]
  22. Di Santo, S.G.; Franchini, F.; Filiputti, B.; Martone, A.; Sannino, S. The Effects of COVID-19 and Quarantine Measures on the Lifestyles and Mental Health of People Over 60 at Increased Risk of Dementia. Front. Psychiatry 2020, 11, 578628. [Google Scholar] [CrossRef]
  23. Ogaš, Z.; Kalcina, L.L.; Dodig, I.P.; Demirović, S.; Madirazza, K.; Valić, M.; Pecotić, R. The effect of COVID-19 lockdown on lifestyle and mood in Croatian general population: A cross-sectional study. Croat. Med. J. 2020, 61, 309–318. [Google Scholar] [CrossRef]
  24. Górnicka, M.; Drywień, M.E.; Zielinska, M.A.; Hamułka, J. Dietary and Lifestyle Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study. Nutrients 2020, 12, 2324. [Google Scholar] [CrossRef]
  25. Husain, W.; Ashkanani, F. Does COVID-19 change dietary habits and lifestyle behaviours in Kuwait: A community-based cross-sectional study. Environ. Health Prev. Med. 2020, 25, 61. [Google Scholar] [CrossRef]
  26. Jia, P.; Liu, L.; Xie, X.; Yuan, C.; Chen, H.; Guo, B.; Zhou, J.; Yang, S. Changes in dietary patterns among youths in China during COVID-19 epidemic: The COVID-19 impact on lifestyle change survey (COINLICS). Appetite 2020, 158, 105015. [Google Scholar] [CrossRef] [PubMed]
  27. Maffoni, S.; Brazzo, S.; De Giuseppe, R.; Biino, G.; Vietti, I.; Pallavicini, C.; Cena, H. Lifestyle Changes and Body Mass Index during COVID-19 Pandemic Lockdown: An Italian Online-Survey. Nutrients 2021, 13, 1117. [Google Scholar] [CrossRef] [PubMed]
  28. Palmer, K.; Bschaden, A.; Stroebele-Benschop, N. Changes in lifestyle, diet, and body weight during the first COVID 19 ‘lockdown’ in a student sample. Appetite 2021, 167, 105638. [Google Scholar] [CrossRef]
  29. Pertuz-Cruz, S.L.; Molina-Montes, E.; Rodríguez-Pérez, C.; Guerra-Hernández, E.J.; de Rangel, O.P.C.; Artacho, R.; Verardo, V.; Ruiz-Lopez, M.D.; García-Villanova, B. Exploring Dietary Behavior Changes Due to the COVID-19 Confinement in Colombia: A National and Regional Survey Study. Front. Nutr. 2021, 8, 644800. [Google Scholar] [CrossRef]
  30. Shaw, K.A.; Bertrand, L.; Deprez, D.; Ko, J.; Zello, G.A.; Chilibeck, P.D. The impact of the COVID-19 pandemic on diet, fitness, and sedentary behaviour of elite para-athletes. Disabil. Health J. 2021, 14, 101091. [Google Scholar] [CrossRef]
  31. Skotnicka, M.; Karwowska, K.; Kłobukowski, F.; Wasilewska, E.; Małgorzewicz, S. Dietary Habits before and during the COVID-19 Epidemic in Selected European Countries. Nutrients 2021, 13, 1690. [Google Scholar] [CrossRef]
  32. Yilmaz, H.Ö.; Aslan, R.; Unal, C. The Effect of the COVID-19 Outbreak on Eating Habits and Food Purchasing Behaviors of University Students. Kesmas Natl. Public Health J. 2020, 15, 154–159. [Google Scholar] [CrossRef]
  33. Nieber, K. The Impact of Coffee on Health. Planta Med. 2017, 83, 1256–1263. [Google Scholar] [CrossRef] [Green Version]
  34. Poole, R.; Kennedy, O.J.; Roderick, P.; Fallowfield, J.A.; Hayes, P.C.; Parkes, J. Coffee consumption and health: Umbrella review of meta-analyses of multiple health outcomes. BMJ 2017, 359, j5024. [Google Scholar] [CrossRef] [Green Version]
  35. McLellan, T.M.; Caldwell, J.A.; Lieberman, H.R. A review of caffeine’s effects on cognitive, physical and occupational performance. Neurosci. Biobehav. Rev. 2016, 71, 294–312. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Clark, I.; Landolt, H.-P. Coffee, caffeine, and sleep: A systematic review of epidemiological studies and randomized controlled trials. Sleep Med. Rev. 2017, 31, 70–78. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Lara, D.R. Caffeine, Mental Health, and Psychiatric Disorders. J. Alzheimer’s Dis. 2010, 20, S239–S248. [Google Scholar] [CrossRef]
  38. Qi, H.; Li, S. Dose-response meta-analysis on coffee, tea and caffeine consumption with risk of Parkinson’s disease. Geriatr. Gerontol. Int. 2013, 14, 430–439. [Google Scholar] [CrossRef]
  39. Kang, D.; Kim, Y.; Je, Y. Non-alcoholic beverage consumption and risk of depression: Epidemiological evidence from observational studies. Eur. J. Clin. Nutr. 2018, 72, 1506–1516. [Google Scholar] [CrossRef] [PubMed]
  40. Schmidt, B.; Roberts, R.S.; Davis, P.; Doyle, L.; Barrington, K.; Ohlsson, A.; Solimano, A.; Tin, W. Long-Term Effects of Caffeine Therapy for Apnea of Prematurity. N. Engl. J. Med. 2007, 357, 1893–1902. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Welsh, E.J.; Bara, A.; Barley, E.; Cates, C. Caffeine for asthma. Cochrane Database Syst. Rev. 2010, 2010, CD001112. [Google Scholar] [CrossRef] [Green Version]
  42. Kennedy, O.J.; Roderick, P.; Buchanan, R.; Fallowfield, J.A.; Hayes, P.C.; Parkes, J. Systematic review with meta-analysis: Coffee consumption and the risk of cirrhosis. Aliment. Pharmacol. Ther. 2016, 43, 562–574. [Google Scholar] [CrossRef] [Green Version]
  43. Kennedy, O.J.; Roderick, P.; Buchanan, R.; Fallowfield, J.A.; Hayes, P.C.; Parkes, J. Coffee, including caffeinated and decaffeinated coffee, and the risk of hepatocellular carcinoma: A systematic review and dose-response meta-analysis. BMJ Open 2017, 7, e013739. [Google Scholar] [CrossRef]
  44. Wijarnpreecha, K.; Thongprayoon, C.; Ungprasert, P. Coffee consumption and risk of nonalcoholic fatty liver disease. Eur. J. Gastroenterol. Hepatol. 2017, 29, e8–e12. [Google Scholar] [CrossRef]
  45. O’Keefe, J.H.; DiNicolantonio, J.J.; Lavie, C.J. Coffee for Cardioprotection and Longevity. Prog. Cardiovasc. Dis. 2018, 61, 38–42. [Google Scholar] [CrossRef] [Green Version]
  46. Andersen, L.F.; Jacobs, D.R.; Carlsen, M.H.; Blomhoff, R. Consumption of coffee is associated with reduced risk of death attributed to inflammatory and cardiovascular diseases in the Iowa Women’s Health Study. Am. J. Clin. Nutr. 2006, 83, 1039–1046. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Greer, F.; Hudson, R.; Ross, R.; Graham, T. Caffeine Ingestion Decreases Glucose Disposal during a Hyperinsulinemic-Euglycemic Clamp in Sedentary Humans. Diabetes 2001, 50, 2349–2354. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Alperet, D.J.; Rebello, S.A.; Khoo, E.Y.-H.; Tay, Z.; Seah, S.S.-Y.; Tai, B.-C.; Tai, E.S.; Emady-Azar, S.; Chou, C.J.; Darimont, C.; et al. The effect of coffee consumption on insulin sensitivity and other biological risk factors for type 2 diabetes: A randomized placebo-controlled trial. Am. J. Clin. Nutr. 2019, 111, 448–458. [Google Scholar] [CrossRef] [PubMed]
  49. Al Reef, T.; Ghanem, E. Caffeine: Well-known as psychotropic substance, but little as immunomodulator. Immunobiol. 2018, 223, 818–825. [Google Scholar] [CrossRef] [PubMed]
  50. Liu, H.; Yao, K.; Zhang, W.; Zhou, J.; Wu, T.; He, C. Coffee consumption and risk of fractures: A meta-analysis. Arch. Med. Sci. 2012, 8, 776–783. [Google Scholar] [CrossRef] [PubMed]
  51. Lerner, U. Bone Remodeling in Post-menopausal Osteoporosis. J. Dent. Res. 2006, 85, 584–595. [Google Scholar] [CrossRef]
  52. Faubion, S.S.; Sood, R.; Thielen, J.M.; Shuster, L.T. Caffeine and menopausal symptoms. Menopause 2015, 22, 155–158. [Google Scholar] [CrossRef]
  53. Vieira, L.; Soares, A.; Freitas, R. Caffeine as a contaminant of concern: A review on concentrations and impacts in marine coastal systems. Chemosphere 2021, 286, 131675. [Google Scholar] [CrossRef]
  54. EFSA. Furan in Food—EFSA Confirms Health Concerns; EFSA: Parma, Italy, 2017; Available online: https://www.efsa.europa.eu/en/press/news/furan-food-efsa-confirms-health-concerns (accessed on 21 April 2022).
  55. EFSA. Acrylamide; EFSA: Parma, Italy, 2015; Available online: https://www.efsa.europa.eu/en/topics/topic/acrylamide (accessed on 21 April 2022).
  56. EFSA Panel on Contaminants in the Food Chain (CONTAM); Schrenk, D.; Bodin, L.; Chipman, J.K.; Del Mazo, J.; GraslKraupp, B.; Hogstrand, C.; Hoogenboom, L.; Leblanc, J.-C.; Nebbia, C.S.; et al. Risk assessment of ochratoxin A in food. EFSA J. 2020, 18, e06113. [Google Scholar] [CrossRef]
  57. Lafranconi, A.; Micek, A.; De Paoli, P.; Bimonte, S.; Rossi, P.; Quagliariello, V.; Berretta, M. Coffee Intake Decreases Risk of Postmenopausal Breast Cancer: A Dose-Response Meta-Analysis on Prospective Cohort Studies. Nutrients 2018, 10, 112. [Google Scholar] [CrossRef] [Green Version]
  58. Giri, A.; Sturgeon, S.R.; Luisi, N.; Bertone-Johnson, E.; Balasubramanian, R.; Reeves, K.W. Caffeinated Coffee, Decaffeinated Coffee and Endometrial Cancer Risk: A Prospective Cohort Study among US Postmenopausal Women. Nutrients 2011, 3, 937–950. [Google Scholar] [CrossRef] [PubMed]
  59. Van Dam, R.M.; Hu, F.B.; Willett, W.C. Coffee, Caffeine, and Health. N. Engl. J. Med. 2020, 383, 369–378. [Google Scholar] [CrossRef]
  60. Grosso, G.; Godos, J.; Galvano, F.; Giovannucci, E.L. Coffee, Caffeine, and Health Outcomes: An Umbrella Review. Annu. Rev. Nutr. 2017, 37, 131–156. [Google Scholar] [CrossRef] [Green Version]
  61. Ali, M.E.S.; Felimban, F.M. A Study of the Impact of Arabic Coffee Consumption on Serum Cholesterol. J. R. Soc. Health 1993, 113, 288–291. [Google Scholar] [CrossRef]
  62. 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, 872–877. [Google Scholar] [CrossRef]
  63. Alsunni, A.A. Energy Drink Consumption: Beneficial and Adverse Health Effects. Int. J. Health Sci. 2015, 9, 459–465. [Google Scholar] [CrossRef]
  64. Goldfarb, M.; Tellier, C.; Thanassoulis, G. Review of Published Cases of Adverse Cardiovascular Events after Ingestion of Energy Drinks. Am. J. Cardiol. 2014, 113, 168–172. [Google Scholar] [CrossRef]
  65. Scott, M.; El-Hassan, M.; Khan, A.A. Myocardial infarction in a young adult following the consumption of a caffeinated energy drink. BMJ Case Rep. 2011, 2011, bcr0220113854. [Google Scholar] [CrossRef] [Green Version]
  66. Pommerening, M.J.; Cardenas, J.C.; Radwan, Z.A.; Wade, C.E.; Holcomb, J.B.; Cotton, B.A. Hypercoagulability after energy drink consumption. J. Surg. Res. 2015, 199, 635–640. [Google Scholar] [CrossRef]
  67. Jovel, C.E.; Mejía, F.S. Caffeine and headache: Specific remarks. Neurología 2017, 32, 394–398. [Google Scholar] [CrossRef]
  68. Juliano, L.M.; Evatt, D.P.; Richards, B.D.; Griffiths, R.R. Characterization of individuals seeking treatment for caffeine dependence. Psychol. Addict. Behav. 2012, 26, 948–954. [Google Scholar] [CrossRef] [Green Version]
  69. Dikici, S.; Saritas, A.; Besir, F.H.; Tasci, A.H.; Kandis, H. Do energy drinks cause epileptic seizure and ischemic stroke? Am. J. Emerg. Med. 2013, 31, 274-e1. [Google Scholar] [CrossRef]
  70. Vivekanandarajah, A.; Ni, S.; Waked, A. Acute hepatitis in a woman following excessive ingestion of an energy drink: A case report. J. Med. Case Rep. 2011, 5, 227. [Google Scholar] [CrossRef] [Green Version]
  71. Huang, B.; Kunkel, D.; El Kabany, M. Acute Liver Failure Following One Year of Daily Consumption of a Sugar-Free Energy Drink. ACG Case Rep. J. 2014, 1, 214–216. [Google Scholar] [CrossRef]
Ijerph 19 05255 g001 550
Figure 1. Flow diagram of the study selection process.
Figure 1. Flow diagram of the study selection process.
Ijerph 19 05255 g001
Ijerph 19 05255 g002 550
Figure 2. Items of JBI Critical Appraisal Checklist of included studies.
Figure 2. Items of JBI Critical Appraisal Checklist of included studies.
Ijerph 19 05255 g002
Table
Table 1. Characteristics of Included studies for coffee consumption and relevant info before and after/during lockdowns.
Table 1. Characteristics of Included studies for coffee consumption and relevant info before and after/during lockdowns.
First Author, Year (Country)Individuals (F/M/O)
Specific Subgroup of Included Population		AgeTime of Survey
Conduction		Coffee before
Lockdown		Coffee After/during Lockdownp ValueCoffee
Increased		Coffee
Decreased		Coffee
No Change
Al Musaraf, 2021
(Saudi Arabia)		297 (297/0/0)19–30February 2019–May 202011.6 (17 ) * g/d
143 (199) * mL/d		11.3 (19) * g/d
159.4 (243) * mL/d		0.87 0.35
Cirilo, 2021 (Italy)140 (140/0/0)
Infertile women		18–49 /39.4 (5) *20 April–4 May 2020 5%20.30%74.70%
Coppi, 2021 (Italy)320 (320/0/0)
Menopausal women		45–541st: 24 March–3 May 2020 &
2nd: 10–20 December 2020		 1st: 28.6% 2nd: 29%1st: 18% 2nd: 16%1st: 53.4% 2nd: 55%
Deschasaux-Tanguy, 2021
(France)		37,252
(19,483/17,769/0)
General population		52.1 (16.6) *April–May 2020 13.5%8.40%
Di Santo, 2020 (Italy)126 (102/24/0)
Seniors >60 years of age with mild cognitive
impairment or subjective cognitive decline		74.29 (6.51) *21 April–7 May 2020 6.60%8.50%84.9%
Dogas, 2020 (Croatia)3027 (1989/506/0)40 (30–50) #25 April–5 May 20202.1 (1.0) cups/d2.1 (1.1) cups/d0.003
Husain, 2020 (Kuwait)415 (285/130/0)18–73/38.47 12.73) *30 March–15 April 2020Americano coffee:
None: 22.7%
<1: 24.1%
1–2/d: 41.4%
3–4/d: 8.7%
5–6/d: 1.9%
>6/d: 1.2%
Arabic coffee:
None: 46.3%
<1: 17.3%
1–2/d: 15.4%
3–4/d: 10.6%
5–6/d: 5.8%
> 6/d: 4.6%		Americano coffee:
None: 31.6%
<1: 25.5%
1–2/d: 33%
3–4/d: 5.5%
5–6/d: 2.9%
>6/d: 1.4%
Arabic coffee: None: 54.7%
<1: 13.7%
1–2/d: 13.5%
3–4/d: 7. %
5–6/d: 5.5%
>6/d: 4.8%
Jia, 2021
(China)		10,08215–28/19.8 (2.3) *9–12 May 2020 2.50%16%Never: 96.4% Constant: 12.65%
Maffoni, 2021 (Italy)1304 (973/331/0) 30 April–10 May 2020 7.9%26.4%65.7%
Palmer 2021 (Germany)827 (622/205)>1812 March–3 May 2020 31.9%8.4%59.7%
Pertuz-Cruz 2021 (Colombia)11,490 (4012/7478)>186 April and 22 May 20201.57 ^1.61 ^
Shaw 2021 (USA)24 (15/10)37.6 (9.3) *May to
mid-June 2020		247 (160) * mg234 (128) * mg
Skotnicka. 2021 (Poland, Austria)1071 (604/467)>181 October
to 30 October 2020		Poland: at least once a day: 76.9% Austria: 62.61% UK: 54.34%Poland: at least once a day: 76.2%
Austria: 62.32% UK: 49.84%
Yilmaz 2020 (Turkey)866 (677/189)21.2 (1.4) *5–6 April 2020 30.6%6.7%62.7%
* Mean (SD), # Median (IQR). F: Female, M: Male, O: Other. ^ (servings).
Table
Table 2. Characteristics of included studies for energy drinks consumption and relevant info before and after/during lockdowns.
Table 2. Characteristics of included studies for energy drinks consumption and relevant info before and after/during lockdowns.
First Author, Year (Country)Subjects (F/M/O)AgeTime of Survey
Conducting		Energy Drinks
before Lockdown		Energy Drinks
after/during Lockdown		p ValueEnergy Drinks IncreasedEnergy Drinks
Decreased		Energy Drinks
No Change
Błaszczyk-Bebenek, 2020
(Poland)		312
(200/112)		41.12 (12.04) *29 April–19 MayNever: 78.5 % 1–3/month: 14.7%
Once a week: 1.6%
Few times a week: 4.2%
Once a day: 0.3%
Few times a day: 0.6%		Never: 85.3%
1–3/month: 8.3%
Once a week: 3.2%
Few times a week: 1.9%
Once a day: 0.6%
Few times a day: 0.6%		0.015
Górnicka, 2020
(Poland)		1381 (2138/243)>1830 April–23 May 2020 1.60%5%93.40%
* Mean (SD). F: Female, M: Male, O: Other.
Table
Table 3. Results of the quality assessment of included studies according to the JBI Checklist.
Table 3. Results of the quality assessment of included studies according to the JBI Checklist.
First Author, YearWere the Criteria for Inclusion in the Sample Clearly Defined?Were the Study Subjects and the Setting Described in Detail?Was the Exposure Measured in a Valid and Reliable Way?Were Objective, Standard Criteria Used for Measurement of the Condition?Were Confounding Factors Identified?Were Strategies to Deal with Confounding Factors Stated?Were the Outcomes Measured in a Valid and Reliable Way?Was Appropriate Statistical Analysis Used?
Al Musharaf, 2021
Blaszczyk-Bebenek, 2021
Cirilo, 2021
Coppi, 2021
Deschaseaux-Tanguy, 2021
Di Santo, 2020
Dogas, 2020
Górnica, 2020
Husain, 2020
Jia, 2020
Maffoni, 2021
Palmer, 2021
Pertuz-Cruz, 2021
Shaw, 2021
Skotnicka, 2021
Yilmaz, 2020
Green: YES, Red: NO, Yellow: Unclear, White: Not applicable.
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Bakaloudi, D.R.; Evripidou, K.; Jayawardena, R.; Breda, J.; Dardavessis, T.; Poulia, K.-A.; Chourdakis, M. The Impact of Lockdowns on Caffeine Consumption: A Systematic Review of the Evidence. Int. J. Environ. Res. Public Health 2022, 19, 5255. https://doi.org/10.3390/ijerph19095255

AMA Style

Bakaloudi DR, Evripidou K, Jayawardena R, Breda J, Dardavessis T, Poulia K-A, Chourdakis M. The Impact of Lockdowns on Caffeine Consumption: A Systematic Review of the Evidence. International Journal of Environmental Research and Public Health. 2022; 19(9):5255. https://doi.org/10.3390/ijerph19095255

Chicago/Turabian Style

Bakaloudi, Dimitra Rafailia, Kleo Evripidou, Ranil Jayawardena, João Breda, Theodoros Dardavessis, Kalliopi-Anna Poulia, and Michail Chourdakis. 2022. "The Impact of Lockdowns on Caffeine Consumption: A Systematic Review of the Evidence" International Journal of Environmental Research and Public Health 19, no. 9: 5255. https://doi.org/10.3390/ijerph19095255

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