| Literature DB >> 36232043 |
Aleksandra Wdowiak-Szymanik1, Agata Wdowiak2, Piotr Szymanik3, Katarzyna Grocholewicz1.
Abstract
Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2. The pandemic over the past two years has completely changed people's daily habits with an impact on oral hygiene, eating habits, and oral health.Entities:
Keywords: COVID-19; SARS-CoV-2; caries diseases; dental care; dietary habits; eating habits; oral hygiene; pandemic
Mesh:
Year: 2022 PMID: 36232043 PMCID: PMC9566618 DOI: 10.3390/ijerph191912744
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Identification of chosen studies via database registers [8].
JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies.
| The Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Analytical Cross-Sectional Study | ||||
|---|---|---|---|---|
| Major Components | Response options | |||
| 1. Were the criteria for inclusion in the sample clearly defined? | Yes | No | Unclear | Not applicable |
| 2. Were the study subjects and the setting described in detail? | Yes | No | Unclear | Not applicable |
| 3. Was the exposure measured in a valid and reliable way? | Yes | No | Unclear | Not applicable |
| 4. Were objective, standard criteria used for measurement of the condition? | Yes | No | Unclear | Not applicable |
| 5. Were confounding factors identified? | Yes | No | Unclear | Not applicable |
| 6. Were strategies to deal with confounding factors stated? | Yes | No | Unclear | Not applicable |
| 7. Were the outcomes measured in a valid and reliable way? | Yes | No | Unclear | Not applicable |
| 8. Was appropriate statistical analysis used? | Yes | No | Unclear | Not applicable |
| Total | 8 points | |||
Analysis of articles based on JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies.
| Study | Ferrante G. et al., | Skotnicka M. et al., 2021 [ | Maestre A. et al., | Souza TC. et al., | Paltrinieri S. et al., | Cicero, A. et al., | Pinzan-Vercelino, C. et al., 2020 [ | Sari a. et al., | Faria SFS et al., | Paszynska, E. et al., 2021 [ | Cărămidă M. et al., 2022 [ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | No | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes |
| 2 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 3 | No | No | No | No | No | No | No | No | No | No | No |
| 4 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes |
| 5 | No | No | Yes | No | Yes | No | No | No | Yes | No | No |
| 6 | No | No | No | No | Yes | No | No | No | No | No | No |
| 7 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 8 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Total | 4/8 | 5/8 | 6/8 | 5/8 | 7/8 | 5/8 | 5/8 | 5/8 | 4/8 | 5/8 | 5/8 |
The most important methodological characteristics of the included studies.
| Author, Year, Country | Design | Duration of Study | Population | Age of Study Group, Sex | Number of Participants |
|---|---|---|---|---|---|
| Ferrante G. et al., | Cross-sectional study | 21 April 2020–7 June 2020 | Internet responders | 14–70+, | 7847 |
| Skotnicka M. et al., 2021, Poland [ | Cross-sectional study | 1 October 2020–30 October 2020 | Internet responders | >18, | 1071 |
| Maestre A. et al., | Cross-sectional study | 1 April 2020–4 May 2020 | Internet responders | >18, | 1640 |
| Souza TC. et al., | Cross-sectional study | from August 2020 to September 2020 | Internet responders | >18, | 1368 |
| Paltrinieri S. et al., | Cross-sectional study | 4 May 2020–15 June 2020 | Internet responders | >18, | 1826 |
| Cicero, A. et al., | Sub-study | February 2020–April 2020 | Phone Interview | >18, | 359 |
| Pinzan-Vercelino, C. et al., 2020, Brazil [ | Cross-sectional study | 10 June 2020–20 June 2020 | Electronic survey | >18, | 1346 |
| Sari a. et al., | Cross-sectional study | 1 August 2020–1 October 2020 | Online survey via email/WhatsApp | >18 and <65, | 1227 |
| Faria SFS et al., | Cross-sectional study | August 2020 | Email questionnaire | Members and staff of Federal University of Minas Geiras | 4647 |
| Paszynska, E. et al., 2021, Poland [ | Cross-sectional study | March 2021–May 2021 | Self-designed questionnaire conducted at the COVID-19 Vaccination point | >18, | 2574 |
| Cărămidă M. et al., 2022, Romania [ | Cross-sectional study | May 2020 | Questionnaire distributed via digital platforms | 18–75, | 800 |
The attributes of the involved studies.
| Author | Aim of the study | Form | Tools | Variables | Results | Limitations |
|---|---|---|---|---|---|---|
| Ferrante G. et al. [ | to investigate the impact of COVID-19 on daily habits | -25 questions about eating and smoking habits | online self-report questionnaire | -nutrition | -among smokers 30% reported an increase in the number of cigarettes smoked per day | -lack of representativeness of the considered sample |
| Skotnicka M. et al. [ | to examine changes in dietary habits during COVID-19 | - 0 questions about dietary habits | online self-report questionnaire | -sweets and snacks, | -5.61% increase of sweets consumption | -were not mentioned |
| Maestre A. et al. [ | to identify the main changes in the eating habits during COVID-19 | Modified Food consumption frequency questionnaire (FFQ) consisting of 18 questions | online self-report questionnaire | -sweets and candy consumption | Consumption’s Increase of: | -telematic sampling system (over- and under-estimation possibility) |
| Souza TC. et al. [ | to assess changes in food choices of adult Brazilians before and during the COVID-19 pandemic | Modified Food consumption frequency questionnaire (FFQ) consisting of 18 Questions | online self-report questionnaire | -alcohol consumption | -increase in the frequency of consumption of alcoholic beverages, but a reduction in the dose | -all data collected are self-reported = not completely reliable |
| Paltrinieri S. et al. [ | to describe the changes in diet, alcohol drinking, and cigarette smoking during lockdown | -49 questions about dietary habits | online self-report questionnaire | -sweets and candy consumption | -diet changes in 17.6% of cases were for the worse (eating more snacks, sweets, carbonated drinks), in 33.5% improved (paying more attention to eating healthier) | -sample was not representative of the resident population |
| Cicero A. et al. [ | to evaluate the effect of COVID-related quarantine on smoking and dietary habits | The Dietary Quality Index (DQI), a validated tool providing information on the usual food intake of 18 food items, grouped into three food categories | phone Interview | -sweets and sugar intake | -during quarantine, the interviewed subjects significantly increased the consumption of simple sugars, added fats, and alcohol, while overall increasing the carbohydrates and fat intake | -sample was not representative of the resident population |
| Pinzan-Vercelino, C. et al. [ | to evaluate the impact of the use of face masks during the COVID-19 pandemic on oral hygiene habits | 41 multiple-choice questions oriented in the oral hygiene and oral conditions self-perception directions | online self-report questionnaire | -halitosis | -10% needed to seek emergency dental care mainly due to tooth pain | -observations could not be directly inferred for other populations |
| Sari a. et al. [ | to investigate the effects of COVID-19 on oral health status | total of 24 mandatory closed-ended questions | online self-report questionnaire | -frequency of teeth brushing | -41.1% started brushing more regularly and 32.49% of brushing routines were disrupted | -survey required the use of smartphones, therefore mostly young people mostly with high economic status participated |
| Faria SFS et al. [ | to assess self-reported halitosis and oral hygiene habits with the wearing of face masks during the pandemic | questionnaire included a total of 18 items | email self-report questionnaire | -considering having a bad breath | -14% of individuals started to consider having bad breath | -questionnaire-survey study with bias possibilities |
| Paszynska, E. et al. [ | to assess whether the COVID-19 pandemic affected dietary choices, oral hygiene habits, and willingness to visit the dental office | questionnaire- number of questions not mentioned | self-report questionnaire | -eating frequency | -13.4% declared increased eating frequency with 19.1% sweet snack preference | -limited access to some societal groups |
| Cărămidă M. et al. [ | to assess differences in oral hygiene routine, smoking, and eating habits during the lockdown | online questionnaire formed of 17 items | self-report questionnaire | -frequency of toothbrushing | -frequency of toothbrushing did not change, however, the time spent on toothbrushing increased in the medical professionals’ group significantly (5.2%), as well as the frequency of dental floss usage (3.5%) | -self-reported habits with the possibility of under- or overestimation |