| Literature DB >> 35564647 |
Dimitra Rafailia Bakaloudi1, Kleo Evripidou1, Ranil Jayawardena2, João Breda3, Theodoros Dardavessis1, Kalliopi-Anna Poulia4, Michail Chourdakis1.
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.Entities:
Keywords: COVID-19; caffeine; coffee; energy drinks; lifestyle; lockdown
Mesh:
Substances:
Year: 2022 PMID: 35564647 PMCID: PMC9102419 DOI: 10.3390/ijerph19095255
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Flow diagram of the study selection process.
Characteristics of Included studies for coffee consumption and relevant info before and after/during lockdowns.
| First Author, Year (Country) | Individuals (F/M/O) | Age | Time of Survey | Coffee before | Coffee After/during Lockdown | Coffee | Coffee | Coffee | |
|---|---|---|---|---|---|---|---|---|---|
| Al Musaraf, 2021 | 297 (297/0/0) | 19–30 | February 2019–May 2020 | 11.6 (17 ) * g/d | 11.3 (19) * g/d | 0.87 0.35 | |||
| Cirilo, 2021 (Italy) | 140 (140/0/0) | 18–49 /39.4 (5) * | 20 April–4 May 2020 | 5% | 20.30% | 74.70% | |||
| Coppi, 2021 (Italy) | 320 (320/0/0) | 45–54 | 1st: 24 March–3 May 2020 & | 1st: 28.6% 2nd: 29% | 1st: 18% 2nd: 16% | 1st: 53.4% 2nd: 55% | |||
| Deschasaux-Tanguy, 2021 | 37,252 | 52.1 (16.6) * | April–May 2020 | 13.5% | 8.40% | ||||
| Di Santo, 2020 (Italy) | 126 (102/24/0) | 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 2020 | 2.1 (1.0) cups/d | 2.1 (1.1) cups/d | 0.003 | |||
| Husain, 2020 (Kuwait) | 415 (285/130/0) | 18–73/38.47 12.73) * | 30 March–15 April 2020 | Americano coffee: | Americano coffee: | ||||
| Jia, 2021 | 10,082 | 15–28/19.8 (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) | >18 | 12 March–3 May 2020 | 31.9% | 8.4% | 59.7% | |||
| Pertuz-Cruz 2021 (Colombia) | 11,490 (4012/7478) | >18 | 6 April and 22 May 2020 | 1.57 ^ | 1.61 ^ | ||||
| Shaw 2021 (USA) | 24 (15/10) | 37.6 (9.3) * | May to | 247 (160) * mg | 234 (128) * mg | ||||
| Skotnicka. 2021 (Poland, Austria) | 1071 (604/467) | >18 | 1 October | Poland: at least once a day: 76.9% Austria: 62.61% UK: 54.34% | Poland: at least once a day: 76.2% | ||||
| 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).
Characteristics of included studies for energy drinks consumption and relevant info before and after/during lockdowns.
| First Author, Year (Country) | Subjects (F/M/O) | Age | Time of Survey | Energy Drinks | Energy Drinks | Energy Drinks Increased | Energy Drinks | Energy Drinks | |
|---|---|---|---|---|---|---|---|---|---|
| Błaszczyk-Bebenek, 2020 | 312 | 41.12 (12.04) * | 29 April–19 May | Never: 78.5 % 1–3/month: 14.7% | Never: 85.3% | 0.015 | |||
| Górnicka, 2020 | 1381 (2138/243) | >18 | 30 April–23 May 2020 | 1.60% | 5% | 93.40% |
* Mean (SD). F: Female, M: Male, O: Other.
Figure 2Items of JBI Critical Appraisal Checklist of included studies.
Results of the quality assessment of included studies according to the JBI Checklist.
| First Author, Year | Were 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.