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ORIGINAL RESEARCH article

Front. Public Health, 14 March 2022
Sec. Family Medicine and Primary Care
This article is part of the Research Topic COVID-19 Vaccines Safety Tracking (CoVaST): part I View all 16 articles

Extension and Severity of Self-Reported Side Effects of Seven COVID-19 Vaccines in Mexican Population

\nMaría Elena Camacho Moll,
María Elena Camacho Moll1,2*Ana María Salinas Martínez,
Ana María Salinas Martínez3,4*Benjamín Tovar CisnerosBenjamín Tovar Cisneros5Juan Ignacio García OnofreJuan Ignacio García Onofre6Gloria Navarrete FlorianoGloria Navarrete Floriano6Mario Bermúdez de LenMario Bermúdez de León1
  • 1Department of Molecular Biology, Northeast Biomedical Research Center, Mexican Institute of Social Security, Monterrey, Mexico
  • 2Health Sciences Division, Center for Molecular Diagnosis and Personalized Medicine, Universidad de Monterrey, Monterrey, Mexico
  • 3Epidemiologic and Health Services Research Unit, Mexican Institute of Social Security, Monterrey, Mexico
  • 4School of Public Health and Nutrition, Autonomous University of Nuevo Leon, Monterrey, Mexico
  • 5School of Biological Sciences, Autonomous University of Nuevo Leon, Monterrey, Mexico
  • 6Family Medicine Unit No. 64, Mexican Institute of Social Security, Monterrey, Mexico

A few studies examined the comparative side effects of Coronavirus Disease-19 (COVID-19) vaccines. We compared the extension and severity of self-reported side effects of seven COVID-19 vaccines [BNT162b2 (Pfizer-BioNTech), ChAdOx1 (AstraZeneca), mRNA-1273 (Moderna), CoronaVac (Sinovac Life Sciences), Gam-COVID-Vac (Gamaleya's Sputnik V), Ad5-nCoV (CanSinoBIO), and Ad26.CoV2.S (Johnson & Johnson/Janssen)] in the Mexican population. We also evaluated the association of type of vaccine, sex, age, comorbidity, and history of allergies to the extent and severity of side effects. This was a cross-sectional study carried out online between August 12 and September 3, 2021 in Mexico. The first inclusion criterion was to receive a COVID-19 vaccine and the second, being at least 18 years old. The survey link was distributed via multiple social media platforms. We questioned about the type of vaccine and symptoms based on short-term side effects reported in the literature. Side effect extension was classified as local, systemic, or both. We asked about the need to take medicine, stop activities/miss work, or seek medical attention. Then, a severity index was constructed based on responses. Descriptive and stepwise multivariate logistic ordinal regression analyses were used to calculate odds ratio (OR) and 95% CI for each outcome adjusted by potential confounders. The mean age was 38.9 ± 11.0 years (n = 4,024). Prevalence of at least one side effect varied between vaccines and by a number of doses. At dose 1, ChAdOx1 was the vaccine with the highest rate of at least one side effect (85%) followed by Gam-COVID-Vac (80%). Both were associated to greater extension (adjusted OR 2.53, 95% CI 2.16, 2.96 and adjusted OR 2.41, 95% CI 1.76, 3.29, respectively) and severity of side effects (adjusted OR 4.32, 95% CI 3.73, 5.00 and adjusted OR 3.00, 95% CI 2.28, 3.94, respectively). Young age (<50 years), female sex, comorbidity, and history of allergies were associated with greater extension and severity, independent of the type of vaccine and potential confounders. At dose 2, mRNA-1273 was the vaccine with the highest rate of side effects (88%) and the only vaccine associated to greater extension (adjusted OR 2.88, 95% CI 1.59, 5.21) and severity of symptoms (adjusted OR 3.14, 95% CI 1.82, 5.43). Continuous studies are necessary to acknowledge more post-vaccine symptoms in different populations.

Introduction

By January 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection that originated in Wuhan, China had already spread to Europe and by March 2020, it had already spread to the whole world (14). The number of people infected was rapidly reached stunning figures given its high transmissibility. The health services collapsed, and the loss of life was alarming in the absence of a specific treatment. Fortunately, Coronavirus Disease-19 (COVID-19) vaccines emerged in record time. Clinical trials began to show the efficacy and safety of vaccines, such as the mRNA-1273 vaccine (Moderna) (5), the BNT162b2 vaccine (Pfizer-BioNTech), and the Gam-COVID-Vac (Gamaleya's Sputnik V) (6). Therefore, regulatory agencies began authorizing their emergency use. Starting date and requirements for the public to receive the vaccine varied by region. In Mexico, vaccination started in December 2020 and the administration was in stages according to priority groups with vaccines varying in type upon availability (Figure 1) (7). Additionally, some Mexicans sought to receive a vaccine abroad, mainly the United States, where mRNA-1273 (Moderna), Ad26.CoV2.S (Johnson & Johnson/Janssen), and BNT162b2 (Pfizer-BioNTech) were available. Vaccine acceptability is key to the success of any vaccination program. Two nationally representative surveys on COVID-19 vaccination are available in Mexico. One, conducted from August to November 2020, identified 62.3% acceptance, 28.2% refusal, and 9.5% hesitancy (8). The second, conducted in November 2020, reported 82% acceptance. Although unlike the first, this study combined a doubtful answer with a definitive one (9). Reports on the progress of coverage of the vaccination strategy in the country showed 20% of the target population fully vaccinated by August 2021 (beginning of the data collection of the present study), and 59% by the end of January 2022 (10, 11).

FIGURE 1
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Figure 1. Vaccination strategy in Mexico. 1BNT162b2 (Pfizer-BioNTech), 2Gam-COVID-Vac (Gamaleya's Sputnik V), 3ChAdOx1 (AstraZeneca), 4CoronaVac (Sinovac Life Sciences), and 5Ad5-nCoV (CanSinoBIO).

Despite having proven their safety, COVID-19 vaccines are not exempt from adverse effects. Adverse reactions have been reported in more than 1 in 10 people in BNT162b2 (Pfizer-BioNTech), ChAdOx1 (AstraZeneca), and mRNA-1273 vaccine (Moderna) clinical trials. They usually happen shortly after the vaccination and are not associated with a serious or lasting illness (1217). Moreover, some factors, such as young age, female sex, and prior COVID-19 infection, may increase the frequency of side effects (1824). Pharmacovigilance activities are essential in any country. In Mexico, a web page is available for registration of vaccines' adverse effects directly by the public (25). However, there is no promotion of its use and much of the general population is unaware of its existence. Post-vaccination surveillance studies are needed worldwide because it is important to understand the frequency and regional variation of side effects and its potential impact on daily life, so that the public can successfully anticipate appropriate actions. A few studies examined the comparative side effects of COVID-19 vaccines (18, 21, 26) and the reactogenicity of more than three different types of vaccines has not been assessed on the same survey.

The objective of the present study was to compare the extension and severity of self-reported side effects of seven COVID-19 vaccines [BNT162b2 (Pfizer-BioNTech), ChAdOx1 (AstraZeneca), mRNA-1273 (Moderna), CoronaVac (Sinovac Life Sciences), Gam-COVID-Vac (Gamaleya's Sputnik V), Ad5-nCoV (CanSinoBIO), and Ad26.CoV2.S (Johnson & Johnson/Janssen)] in the Mexican population. A second objective was to evaluate the association of type of vaccine, sex, age, comorbidity, and history of allergies to the extent and severity of side effects.

Materials and Methods

Study Design

This was a cross-sectional study carried out online between August 12 and September 3, 2021 in Mexico (two months after the vaccination was opened to all population groups). Nuevo Leon and Mexico City were the locations with more participants (Figure 2). The first inclusion criterion was to receive a COVID-19 vaccine and the second, being at least 18 years old. Those who did not sign the informed consent were excluded and there was no need to eliminate any registry due to lack of information on vaccine adverse effects. Non-random sampling based on the snowballing technique was used for recruiting potential participants who were invited through social media groups and word-of-mouth campaigns with no proportional quotas by sociodemographic variables or by type of vaccine. The survey link was distributed via multiple media platforms, such as Facebook and WhatsApp. Participants did not receive any kind of financial reward. Two sample sizes were estimated. One is based on the expected frequency of at least one local side effect between 48.9 and 85.8% reported in the literature (22, 27). The second is based on the expected frequency of at least one systemic side effect between 52.6 and 70.5% (22, 27). Both, with a margin of error of 3% and a CI of 95%. The minimum n required varied from 514 to 1,067 for estimates of local effects and between 879 and 1,064 for estimates of systemic effects. However, there were 4,024 participants. Such a sample size provided determinations with a precision of <2% and confidence level >95% given the frequencies obtained in the study of 67 and 65% for local and systemic side effects after the 1st dose (28). The protocol was approved by the Committees of Ethics and Health Research (R2021-1909-106). The study followed the Declaration of Helsinki for research on human subjects' guidelines (29). All the participants had to give their informed consent digitally before filling in the questionnaire. Participation was entirely voluntary, and withdrawal was allowed at any time without the need to justify the decision. There was no personal data collected that might enable the retrospective identification of the participant.

FIGURE 2
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Figure 2. Geographical origin of participants and percentage of participation per state: 1. Nuevo León 29.2%, 2. Mexico City 16.7%, 3. State of Mexico 9.5%, 4. Sinaloa 7.4%, and 5–32. Rest of the country 0–5%. Study of Coronavirus Disease-2019 (COVID-19) vaccines' side effects in the Mexican population, August to September 2021.

Study Variables

Vaccine Information

Participants were asked about the type of vaccine received (multiple choice), vaccine combination (yes, no; if yes, type of combination), and the number of doses. Moreover, about the use of pre-vaccination medication to prevent symptoms (yes, no). For side effects evaluation, the participant chose all the symptoms that he/she had presented from a list made with short-term side effects reported in the literature (1217). Then, the extension was classified as local, systemic, or both. To simplify the questionnaire as much as possible, the time of onset and duration for each side effect were not included. The side effects of dose 1 and dose 2 were questioned in separate sections. For severity evaluation, three questions were asked for first or single dose: need to take medicine, stop activities/miss work, or seek medical attention (went to a doctor, went to an emergency room, or was hospitalized). Then, an index was constructed based on negative and affirmative responses obtaining 3 categories: mild, moderate, and severe (Table 1). One question was used for the second dose: notice any difference in symptomatology between the first and second doses (felt better, felt the same, or felt worse).

TABLE 1
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Table 1. Severity categorization.

Comorbidity, Sociodemographic, and Other Characteristics

One question filtered the history of any comorbidity. Those who answered affirmatively were asked about a previous diagnosis of prediabetes, diabetes, hypertension, chronic renal failure, chronic obstructive lung disease, asthma, immune disease, cancer, cerebrovascular disease, others. Moreover, about the history of allergies and COVID-19 infection (had symptoms consistent with COVID-19 disease and was positive to PCR or rapid nasal swab antigen test). Sex, age, schooling, occupation, place of residence, smoking, pregnancy, and breastfeeding at the time of vaccination were identified too. Nutritional status was assessed using a validated body mass index-body size pictorial method that indicated low weight (shape 1), normal weight (shapes 2 and 3), overweight (shape 4), and obesity (shapes 5–10) (30).

Study Procedures

The self-applied electronic survey was designed in Spanish with the software tool QuestionPro (Survey Analytics LLC, San Francisco, CA, USA) and Google Forms (Google, Mountain View, CA, USA). The survey took an average of 5 min to complete. It was divided into the following sections: privacy policy (statements about voluntary participation and confidentiality), vaccine data, post-vaccination side effects, COVID-19 prior infection, and comorbidity data; sociodemographic and other information of interest. The items were developed by the authors after a thorough review of the literature on side effects reported by the different vaccines. These were submitted to a panel of experts (an epidemiologist medical doctor and 2 full-time medical researchers) who reviewed the pertinence and relevance of the content. Moreover, they checked if writing was clear, concise, and unambiguous and verified the absence of technical language. The proposed questionnaire was pre-tested among colleagues, then it was tested in a pilot study with participants of sociodemographic characteristics similar to the target population. Some adjustments were made on section skipping according to filter questions. The final version is available in Supplementary Materials S1.

Statistical Analysis

Frequencies were obtained for the categorical variables, as were means and SDs for the non-categorical variables. Point prevalence and 95% CIs were estimated. The association of sociodemographic, comorbidity, and history of allergies to extension and severity of side effects was evaluated through the chi-square tests. Then, stepwise multivariate logistic ordinal regression models were run to calculate adjusted odds ratio (OR) and 95% CI for each outcome of interest. One model included an extension of side effects as dependent variable (coded as absent, local, systemic, both) and type of vaccine, sex, age, comorbidity, allergies, and smoking as independent variables; use of pre-vaccination medication to prevent symptoms and history of confirmed COVID-19 infection were used as control variables. The model for analyzing severity included severity index (coded as absent, mild, moderate, and severe) or difference in symptomatology between first and second doses (coded as felt better, felt the same, or felt worse) as dependent variables. Outcomes were analyzed for dose 1 and dose 2, separately. Due to the small sample size, 4 records were removed from inferential statistical analysis, 1 BBIBP-CorV (Sinopharm, Beijing, China) registry, and 3 CureVac registries. Analyses were done using SPSS for Windows version 22.

Results

The mean age was 38.9 ± 11.0 years, 3.6% were pregnant and 9.9% were breastfeeding when they got the vaccine. The female sex, the bachelor's school degree, and being employed or self-employed were characteristics that predominated in the study population. Some characteristics differed by type of vaccine. There were more participants between 30 and 39 years with ChAdOx1 (AstraZeneca), Gam-COVID-Vac (Gamaleya's Sputnik V), Ad5-nCoV (CanSinoBIO), and Ad26.CoV2.S (Johnson & Johnson/Janssen). Moreover, more participants with higher schooling and employed/self-employed with Ad5-nCoV (CanSinoBIO). Table 2 shows these and other detailed results. A very low percentage of combined vaccines (2%) and 67.4% had a complete scheme (two doses or one for single-shot vaccines). Less than 7% of participants used medication to prevent symptoms before the first or second vaccinations (6.9 and 6.5%, respectively, p = 0.549).

TABLE 2
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Table 2. Sociodemographic, comorbidity, and other characteristics.

Extension of Side Effects

Prevalence of side effects varied by type of vaccines and number of doses. ChAdOx1 (AstraZeneca) was the vaccine with the highest prevalence of at least one side effect at dose 1 and mRNA-1273 (Moderna), at dose 2 (Figure 3). Stratification by local and systemic effects showed the prevalence of 67% (95% CI 65.1, 68.0) and 65% (95% CI 63.3, 66.2) after the first vaccination, respectively. The classification by extension showed that the combination of local and systemic effects was the most frequent category after the first dose, which exceeded that of the second dose. Arm/injection site pain was the most common local symptom and headache was the most common systemic symptom regardless of the number of doses (Table 3). Side effects categorized by organ system and the number of doses are provided in Supplementary Table S2. Side effects categorized by organ system and type of vaccine are provided in Supplementary Tables S3, S4.

FIGURE 3
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Figure 3. Prevalence of at least one side effect after first/single and second dose of Coronavirus Disease-2019 (COVID-19) vaccines in Mexican population, August to September 2021. *p ≤ 0.05, **p < 0.001 Z-tests for analyzing the difference between two proportions. Moderna (mRNA-1273), AstraZeneca (ChAdOx1), Pfizer (BNT162b2), Sinovac (CoronaVac), Sputnik V (Gam-COVID-Vac), CanSino (Ad5-nCoV), and J & J (Johnson & Johnson, Ad26.CoV2.S).

TABLE 3
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Table 3. Extension of side effects by the number of doses.

Severity of Side Effects

After dose 1, 62.6% needed to take medicine for relieving symptoms, 31.3% suspended daily activities or missed work, and 5.3% sought medical attention. The severity index showed 28% had mild, 21% moderate, and 4% severe effects; the rest did not experience symptoms, did not take medication, stopped activities, or sought medical attention (47%). The severity of side effects differed by type of vaccine. At dose 1, there were more respondents suspending activities/missing work and taking medicine for relieving symptoms with ChAdOx1 (AstraZeneca) and more seeking medical attention with Ad5-nCoV (CanSinoBIO) (Table 4).

TABLE 4
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Table 4. The severity of side effects by the number of dose and type of vaccine.

Factors Associated to Extension of Side Effects

At dose 1, participants with ChAdOx1 (AstraZeneca) and Gam-COVID-Vac (Gamaleya's Sputnik V) were more likely to have local and systemic side effects than BNT162b2 (Pfizer-BioNTech). In contrast, participants with CoronaVac (Sinovac Life Sciences) were less likely to have such an outcome. At dose 2, mRNA-1273 (Moderna) increased the odds of greater side effects extension, while ChAdOx1 (AstraZeneca) and CoronaVac (Sinovac Life Sciences) decreased them. Factors, such as female sex, age under 50, and history of allergies, increased the possibilities of greater extension at doses 1 and 2, regardless of comorbidity, smoking, pre-vaccination medication to prevent symptoms, and history of confirmed COVID-19 infection (Table 5).

TABLE 5
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Table 5. Multivariate ordinal regression analyses of factors associated to an extension of side effects in Mexican population, August to September 2021.

Factors Associated to Severity of Side Effects

At dose 1, four vaccines were associated to greater severity: ChAdOx1 (AstraZeneca), Ad5-nCoV (CanSinoBIO), Gam-COVID-Vac (Gamaleya's Sputnik V), and Ad26.CoV2.S (Johnson & Johnson/Janssen). Female sex, age <50 years, comorbidity, and allergies were also associated factors, independent of smoking, pre-vaccination medication to prevent symptoms, and history of confirmed COVID-19 infection (Table 6). At dose 2, mRNA-1273 (Moderna) tripled the possibilities of feeling worse compared to the first dose (95% CI 1.82, 5.43; p < 0.0001). In contrast, ChAdOx1 (AstraZeneca) (adjusted OR 0.34, 95% CI 0.26, 0.42; p < 0.0001) and Gam-COVID-Vac (Gamaleya's Sputnik V) (adjusted OR 0.59, 95% CI 0.37, 0.94; p = 0.025) reduced them.

TABLE 6
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Table 6. Multivariate ordinal regression analyses of factors associated to the severity of side effects in Mexican population, August to September 2021.

Discussion

In the present study, we analyzed and explored associated factors to adverse reactions after COVID-19 vaccination from different laboratories and schemes (2 single-dose and 5 double-dose vaccines) in the Mexican population characterized by being in their 30s, being a woman, and with high schooling.

Prevalence of at least one side effect after the first dose varied between vaccines. CoronaVac (Sinovac Life Sciences) registered the lowest frequency (55%), which was higher than phases 2 and 3 clinical trials reports with values between 19 and 33% (31, 32). The next vaccine with less adverse effects was mRNA-1273 (Moderna) (69%), lower than 84% documented in a phase 3 clinical trial (33). Three vaccines showed prevalence around 70%, BNT162b2 (Pfizer-BioNTech; 73%), Ad5-nCoV (CanSinoBIO; 75%), and Ad26.CoV2.S (Johnson & Johnson/Janssen; 71%). The BNT162b2 (Pfizer-BioNTech) statistics of side effects are contrasting. An ongoing multinational placebo-controlled clinical trial reported 27% (34), but surveys with self-reported symptoms showed figures between 80 and 92% (21, 22, 35). Ad5-nCoV (CanSinoBIO) and Ad26.CoV2.S (Johnson & Johnson/Janssen) frequencies were close to the ones reported in phase 2 clinical trials. Zhu et al. (36) found 72–74% with Ad5-nCoV (CanSinoBIO) and Sadoff et al. (37) identified 62–63% with low Ad26.CoV2.S (Johnson & Johnson/Janssen) dose and 78–82% with high dose. The vaccines with the highest frequency of side effects were ChAdOx1 (AstraZeneca) and Gam-COVID-Vac (Gamaleya's Sputnik V) (85 and 80%, respectively). Both were within the range of self-report surveys. The former has shown prevalence ranging from 51 to 96% (21, 27, 35, 38, 39) and the second one, prevalence ranging from 71 to 82% (40, 41).

First vs. Second Doses

We found a stronger reaction to the first than the second dose. ChAdOx1 (AstraZeneca) presented the highest difference with +40%, Gam-COVID-Vac (Gamaleya's Sputnik V) with +22%, and CoronaVac (Sinovac Life Sciences) with +10%. The stronger reaction to ChAdOx1 (AstraZeneca) first dose was in line with other reports (14, 42). Jarynowski et al. (20) also showed a higher average of adverse effects with the first than the second dose Gam-COVID-Vac (Gamaleya's Sputnik V) (2.2 ± 1.8 vs. 1.9 ± 1.7). They attributed such a result to the vaccine vector used in dose 2, which is different from dose 1. BNT162b2 (Pfizer-BioNTech) registered an overall difference of +6 indicating higher side effects with dose 1, unlike other studies that had reported more effects with the second dose (15, 18, 19). The discrepancy may be due to differences in age, sex, comorbidities, and history of COVID-19 infection. In addition, to geographic region and immune response variations. A systematic review and meta-analysis conducted by Choe et al. (43) showed that the geographic region was an important source of variation in the immune response to pneumococcal conjugate vaccines. Further research is needed to identify the reasons for an observed result contrary to what was expected. mRNA-1273 (Moderna) was the only vaccine with higher side effects at dose 2, which was in accordance with what the Centers for Disease Control and Prevention (CDC) reports. That is mRNA-1273 (Moderna) tends to present higher symptomatology the second time (16).

Extension of Side Effects

Unlike other studies, this one distinguished the frequency of local and systemic symptoms in a single or combined presentation. At dose 1, very few had local or systemic symptoms in solitary instead they experienced both, which was considered of greater extension. ChAdOx1 (AstraZeneca) and Gam-COVID-Vac (Gamaleya's Sputnik V) were associated to greater extension while CoronaVac (Sinovac Life Sciences) to lesser extension, independent of sex, age, and other potential confounders. At dose 2, the absence of symptoms equaled the category of a combination of local and systemic symptoms and mRNA-1273 (Moderna) was the only vaccine associated with the greater extension. Regarding local symptoms, we identified important differences with the literature. For example, BNT162b2 (Pfizer-BioNTech) and ChAdOx1 (AstraZeneca) each registered 50% of participants with pain at the injection site in dose 1, which was less than that reported before between 68 and 81.2% (18, 21). At dose 2, the rates were 34.5 and 18%, respectively. Moreover, lower than in other studies >70% (18, 44). The rates of fatigue and muscle pain secondary to CoronaVac (Sinovac Life Sciences) in dose 1 were lower than those identified by Djanas et al. (45) (13% vs. 35.8% and 39.6%, respectively). Moreover, in dose 2, BNT162b2 (Pfizer-BioNTech) registered half the frequency reported elsewhere (18, 44). These differences remind the importance of estimating the prevalence of adverse effects in different populations. On the other hand, ChAdOx1 (AstraZeneca) registered higher systemic side effects than BNT162b2 (Pfizer-BioNTech) in dose 1, which was not surprising as this has been pointed out by other authors (18, 21).

The Severity of Side Effects

The severity of side effects varied by the type of vaccine and the number of doses. Four vaccines increased the possibilities of greater severity at the first dose, ChAdOx1 (AstraZeneca), Ad5-nCoV (CanSinoBIO), Gam-COVID-Vac (Gamaleya's Sputnik V), and Ad26.CoV2.S (Johnson & Johnson/Janssen), as compared to BNT162b2 (Pfizer-BioNTech), independent of sex, age, and other potential confounders. There were more respondents suspending activities/missing work and taking medicine for relieving symptoms with ChAdOx1 (AstraZeneca). Kim et al. (18) also reported ChAdOx1 (AstraZeneca) with a higher impact on work productivity (work performance was impaired, took vacation or holiday, missed work). We found more participants seeking medical attention with Ad5-nCoV (CanSinoBIO) followed by ChAdOx1 (AstraZeneca). Kim et al. (18) also identified the latter vaccine with a higher frequency of subsequent need for going to a doctor, an emergency room, or being hospitalized.

Associated Factors

Age, sex, and allergies were associated with greater extension and severity of side effects regardless of the type of vaccine and number of doses. Age <50 years presented the greatest risk, which doubled the chances of having local combined with systemic symptoms. Studies from different regions and different vaccines have documented respondents under 50 years with a higher risk of side effects (18, 20, 22, 27). It has been attributed to a decline in the function of the immune system with age. Women have a higher risk of adverse effects too (1822). The disparity has been explained by differences in the immune response between men and women (46, 47). We also identified a history of allergies associated to greater extension and severity of side effects. Jahan et al. (27) found 45.1% of their participants had a history of allergic reactions to various allergens, which were associated with sneezing, coughing, itching, swelling, runny nose, and shortness of breath following the first application of ChAdOx1 (AstraZeneca). It appeared that the relative incidence of allergic reactions following administration of BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna) vaccines had been higher for recipients with a prior history of allergies and/or anaphylaxis, respectively (48).

Limitations

Differences in the use of certain vaccines were consistent with the vaccination program in the country, which in turn was a function of vaccines availability. The distribution by age, sex, and schooling was not as heterogeneous as would have been desired; and there was a bias toward young age, female sex, and higher schooling. Some reasons may help to explain it. In Mexico, there are more women than men (51 vs. 49%) and people between 15 and 49 years make up more than half of the population according to the 2020 population census (49). Women tend to participate more in health surveys. The higher presence of young adults reflects their greater familiarity and use of social media compared to older adults. Other authors have also reported more women and young respondents (1821); and a higher frequency of university or post-university participants in online surveys (19, 27). The combination of higher education and a job with the Ad5-nCoV (CanSinoBIO) can be explained by the fact that this vaccine was applied mainly to schoolteachers and university professors. Additionally, diabetes and hypertension were half the frequency reported in the 2021 National Health and Nutrition Survey (50), probably secondary to the low presence of older adults. These were the ones with the least participation, which agrees with the percentage distribution of population 60 and over that according to the census ranks second least in the country, after that of 50–59 years (12 and 10%, respectively) (49). Future research requires the inclusion of a greater number of men, older adults, and less educated individuals. The study relied on self-report and symptoms were not verified. Some respondents may have incorrectly blamed the vaccine for the experienced side effect. Moreover, those who experienced side effects might have been more interested in participating than those who did not; and rates might be overestimated. Results might have been affected by memory bias. The use of mobile devices for reporting side effects in real-time might produce more accurate rates. Finally, the study focused on the short-term side effects; more research is needed for long-term effects.

Conclusions

Prevalence and degree of adverse reactions differed by the number of doses and type of vaccine. At dose 1, ChAdOx1 (AstraZeneca) was the vaccine with the highest rate of at least one side effect followed by Gam-COVID-Vac (Gamaleya's Sputnik V). Both were associated with greater extension and severity of side effects. ChAdOx1 (AstraZeneca) was the vaccine in which more participants were required to suspend everyday duties or had to miss work. Young age (<50 years), female sex, comorbidity, and history of allergies were associated with greater extension and severity of side effects after the first vaccination, regardless of the type of vaccine and potential confounders. At dose 2, mRNA-1273 (Moderna) was the vaccine with the highest rate of side effects and the only vaccine associated with greater extension and severity of symptoms. Female sex and age under 50 increased the odds of greater extension after the second vaccination. Therefore, after receiving the COVID-19 vaccination, recipients should be advised about potential vaccine symptoms according to the number of doses, the type of vaccine, sex, age, and history of allergies. An informed public will know what to expect, what to do, when and where to seek additional guidance if necessary. Furthermore, measures for preventing or eliminating the unwanted effect might be planned. Continuous studies are necessary to acknowledge more about the post-vaccine symptoms in different populations.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Local Committee of Health Research No. 1909, Mexican Social Security Institute. The patients/participants provided their written informed consent to participate in this study.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of the Mexican Social Security Institute (protocol 2021-1909-106, August 9, 2021).

Author Contributions

MC and AS conceptualized the study and contributed to methodology, software, and writing—original draft preparation. BT and AS validated the data. MC, BT, and AS contributed to formal analysis. MC investigated the study. MC, AS, and JG contributed to data curation. MB, GN, JG, and BT contributed to writing, reviewing, and editing. AS and MB contributed to supervision. All authors have read and agreed to the published version of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors thank to Universidad de Monterrey for the APC funding.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2022.834744/full#supplementary-material

References

1. Platto S, Wang Y, Zhou J, Carafoli E. History of the COVID-19 pandemic: origin, explosion, worldwide spreading. Biochem Biophys Res Commun. (2021) 538:14–23. doi: 10.1016/j.bbrc.2020.10.087

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Zhou P, Yang X-L, Wang X-G, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. (2020) 579:270–3. doi: 10.1038/s41586-020-2012-7

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Deslandes A, Berti V, Tandjaoui-Lambotte Y, Alloui C, Carbonnelle E, Zahar JR, et al. SARS-CoV-2 was already spreading in France in late December 2019. Int J Antimicrob Agents. (2020) 55:106006. doi: 10.1016/j.ijantimicag.2020.106006

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Roberts DL, Rossman JS, Jarić I. Dating first cases of COVID-19. Lee B, editor. PLoS Pathog. (2021) 17:e1009620. doi: 10.1371/journal.ppat.1009620

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Jackson LA, Anderson EJ, Rouphael NG, Roberts PC, Makhene M, Coler RN, et al. An mRNA vaccine against SARS-CoV-2 — preliminary report. N Engl J Med. (2020) 383:1920–31. doi: 10.1056/NEJMoa2022483

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Callaway E. Russia announces positive COVID-vaccine results from controversial trial. Nature. (2020). doi: 10.1038/d41586-020-03209-0

PubMed Abstract | CrossRef Full Text | Google Scholar

7. National Guiding Policy for Vaccination Against SARS-CoV-2 for the Prevention of COVID-19 in Mexico. Guiding document (2021). Available online at: https://coronavirus.gob.mx/wp-content/uploads/2021/01/PolVx_COVID_-11Ene2021.pdf (accessed January 25, 2022).

8. Carnalla M, Basto-Abreu A, Stern D, Bautista-Arredondo S, Shamah-Levy T, Alpuche-Aranda CM, et al. Acceptance, refusal and hesitancy of Covid-19 vaccination in Mexico: Ensanut 2020 Covid-19. Salud Publica Mex. (2021) 63:598–606. doi: 10.21149/12696

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Wouters OJ, Shadlen KC, Salcher-Konrad M, Pollard AJ, Larson HJ, Teerawattananon Y, et al. Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment. Lancet. (2021) 397:1023–34. doi: 10.1016/S0140-6736(21)00306-8

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Our world in data. Coronavirus (COVID-19) Vaccinations. Available online at: https://ourworldindata.org/covid-vaccinations?country=OWID_WRL (accessed Feb 2, 2022).

Google Scholar

11. Mexico - COVID-19 - Vaccines administered. Available online at: https://datosmacro.expansion.com/otros/coronavirus-vacuna/mexico (accessedFeb 2, 2022).

12. Andrzejczak-Grzadko S, Czudy Z, Donderska M. Side effects after COVID-19 vaccinations among residents of Poland. Eur Rev Med Pharmacol Sci. (2021) 25:4418–21. doi: 10.26355/eurrev_202106_26153

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Klein NP, Lewis N, Goddard K, Fireman B, Zerbo O, Hanson KE, et al. Surveillance for Adverse Events After COVID-19 mRNA Vaccination. JAMA. (2021) 326:1390. doi: 10.1001/jama.2021.15072

PubMed Abstract | CrossRef Full Text | Google Scholar

14. United Kingdom Goverment,. Coronavirus Vaccine - Weekly Summary of Yellow Card Reporting. (2021). Available online at: https://www.gov.uk/government/publications/coronavirus-covid-19-vaccine-adverse-reactions/coronavirus-vaccine-summary-of-yellow-card-reporting (acceesed Nov 13, 2021).

15. Centers for Disease Control Prevention. Pfizer-BioNTech COVID-19 Vaccine Reactions & Adverse Events. (2021). Available online at: https://www.cdc.gov/vaccines/covid-19/info-by-product/pfizer/reactogenicity.html (accessed December 14, 2021).

16. Centers for Disease Control Prevention. The Moderna COVID-19 Vaccine's Local Reactions, Systemic Reactions, Adverse Events, and Serious Adverse Events. (2021). Available online at: https://www.cdc.gov/vaccines/covid-19/info-by-product/moderna/reactogenicity.html

17. Centers for Disease Control Prevention. The Janssen COVID-19 Vaccine's Local Reactions, Systemic Reactions, Adverse Events, and Serious Adverse Events. (2021). Available online at: https://www.cdc.gov/vaccines/covid-19/info-by-product/janssen/reactogenicity.html (accessed December 14, 2021).

18. Kim T, Park SY, Yu S, Park JW, Lee E, Jeon MH, et al. Impacts of side effects to BNT162b2 and the first dose of ChAdOx1 Anti-SARS-CoV-2 vaccination on work productivity, the need for medical attention, and vaccine acceptance: a multicenter survey on healthcare workers in referral teaching hospitals in the Re. Vaccines. (2021) 9:648. doi: 10.3390/vaccines9060648

PubMed Abstract | CrossRef Full Text | Google Scholar

19. El-Shitany NA, Harakeh S, Badr-Eldin SM, Bagher AM, Eid BG, Almukadi HS, et al. Minor to moderate side effects of Pfizer-BioNTech COVID-19 vaccine among saudi residents: a retrospective cross-sectional study. Int J Gen Med. (2021) 14:1389–401. doi: 10.2147/IJGM.S310497

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Jarynowski A, Semenov A, Kamiński M, Belik V. Mild adverse events of Sputnik V vaccine in Russia: social media content analysis of telegram via deep learning. J Med Internet Res. (2021) 23:1–14. doi: 10.2196/preprints.30529

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Bae S, Lee YW, Lim SY, Lee J-H, Lim JS, Lee S, et al. Adverse reactions following the first dose of ChAdOx1 nCoV-19 vaccine and BNT162b2 vaccine for healthcare workers in South Korea. J Korean Med Sci. (2021) 36:e115. doi: 10.3346/jkms.2021.36.e115

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Riad A, Hocková B, Kantorová L, Slávik R, Spurná L, Stebel A, et al. Side effects of mRNA-based COVID-19 vaccine: nationwide phase IV study among healthcare workers in Slovakia. Pharmaceuticals. (2021) 14:873. doi: 10.3390/ph14090873

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Tissot N, Brunel A-S, Bozon F, Rosolen B, Chirouze C, Bouiller K. Patients with history of covid-19 had more side effects after the first dose of covid-19 vaccine. Vaccine. (2021) 39:5087–90. doi: 10.1016/j.vaccine.2021.07.047

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Mathioudakis AG, Ghrew M, Ustianowski A, Ahmad S, Borrow R, Papavasileiou LP, et al. Self-reported real-world safety and reactogenicity of COVID-19 vaccines: a vaccine recipient survey. Life. (2021) 11:249. doi: 10.3390/life11030249

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Ministry of Health. Adverse Effects When Being Vaccinated Against Covid-19. Available online at: http://vacunacovid.gob.mx/wordpress/eventos-adversos/ (accessed January 28, 2022).

26. Klugar M, Riad A, Mekhemar M, Conrad J, Buchbender M, Howaldt H-P, et al. Side effects of mRNA-based and viral vector-based COVID-19 vaccines among german healthcare workers. Biology. (2021) 10:752. doi: 10.3390/biology10080752

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Jahan N, Rahman FI, Saha P, Ether SA, Roknuzzaman A, Sarker R, et al. Side effects following administration of the first dose of Oxford-AstraZeneca's covishield vaccine in Bangladesh: a cross-sectional study. Infect Dis Rep. (2021) 13:888–901. doi: 10.3390/idr13040080

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Centers for Disease Control and Prevention (CDC). Epi Info. Atlanta, GA (2020).

29. World Medical Association Declaration of Helsinki. JAMA. (2013) 310:2191. doi: 10.1001/jama.2013.281053

PubMed Abstract | CrossRef Full Text

30. Harris CV, Bradlyn AS, Coffman J, Gunel E, Cottrell L. BMI-based body size guides for women and men: development and validation of a novel pictorial method to assess weight-related concepts. Int J Obes. (2008) 32:336–42. doi: 10.1038/sj.ijo.0803704

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Tanriover MD, Doganay HL, Akova M, Güner HR, Azap A, Akhan S, et al. Efficacy and safety of an inactivated whole-virion SARS-CoV-2 vaccine (CoronaVac): interim results of a double-blind, randomised, placebo-controlled, phase 3 trial in Turkey. Lancet. (2021) 398:213–22. doi: 10.1016/S0140-6736(21)01429-X

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Zhang Y, Zeng G, Pan H, Li C, Hu Y, Chu K, et al. Safety, tolerability, and immunogenicity of an inactivated SARS-CoV-2 vaccine in healthy adults aged 18–59 years: a randomised, double-blind, placebo-controlled, phase 1/2 clinical trial. Lancet Infect Dis. (2021) 21:181–92. doi: 10.1016/S1473-3099(20)30843-4

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Baden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. (2021) 384:403–16. doi: 10.1056/NEJMoa2035389

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Polack FP, Thomas SJ, Kitchin N, Absalon J, Gurtman A, Lockhart S, et al. Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine. N Engl J Med. (2020) 383:2603–15. doi: 10.1056/NEJMoa2034577

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Alghamdi AN, Alotaibi MI, Alqahtani AS, Al Aboud D, Abdel-Moneim AS. BNT162b2 and ChAdOx1 SARS-CoV-2 post-vaccination side-effects among Saudi vaccinees. Front Med. (2021) 8:760047. doi: 10.3389/fmed.2021.760047

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Zhu F-C, Guan X-H, Li Y-H, Huang J-Y, Jiang T, Hou L-H, et al. Immunogenicity and safety of a recombinant adenovirus type-5-vectored COVID-19 vaccine in healthy adults aged 18 years or older: a randomised, double-blind, placebo-controlled, phase 2 trial. Lancet. (2020) 396:479–88. doi: 10.1016/S0140-6736(20)31605-6

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Sadoff J, Gray G, Vandebosch A, Cárdenas V, Shukarev G, Grinsztejn B, et al. Safety and efficacy of single-dose Ad26.COV2.S vaccine against Covid-19. N Engl J Med. (2021) 384:2187–201. doi: 10.1056/NEJMoa2101544

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Sultana A, Shahriar S, Tahsin MR, Mim SR, Fatema KR, Saha A, et al. A retrospective cross-sectional study assessing self-reported adverse events following immunization (AEFI) of the COVID-19 vaccine in Bangladesh. Vaccines. (2021) 9:1090. doi: 10.3390/vaccines9101090

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Alhazmi A, Alamer E, Daws D, Hakami M, Darraj M, Abdelwahab S, et al. Evaluation of side effects associated with COVID-19 vaccines in Saudi Arabia. Vaccines. (2021) 9:674. doi: 10.3390/vaccines9060674

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Pagotto V, Ferloni A, Mercedes Soriano M, Díaz M, Braguinsky Golde N, González MI, et al. Active monitoring of early safety of Sputnik V vaccine in Buenos Aires, Argentina. Medicina. (2021) 81:408–14.

PubMed Abstract | Google Scholar

41. Zare H, Rezapour H, Mahmoodzadeh S, Fereidouni M. Prevalence of COVID-19 vaccines (Sputnik V, AZD-1222, and Covaxin) side effects among healthcare workers in Birjand city, Iran. Int Immunopharmacol. (2021) 101:108351. doi: 10.1016/j.intimp.2021.108351

PubMed Abstract | CrossRef Full Text | Google Scholar

42. European Medicines Agency,. Vaxzevria (previously COVID-19 Vaccine AstraZeneca): EPAR - Product information (updated). (2021). Available online at: https://www.ema.europa.eu/en/documents/product-information/vaxzevria-previously-covid-19-vaccine-astrazeneca-epar-product-information_en.pdf (accessed November 13, 2021).

43. Choe YJ, Blatt DB, Lee HJ, Choi EH. Associations between geographic region and immune response variations to pneumococcal conjugate vaccines in clinical trials: a systematic review and meta-analysis. Int J Infect Dis. (2020) 92:261–8. doi: 10.1016/j.ijid.2019.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Shimabukuro T. Vaccine Safety Update. Advisory Committee on Imunization Practices (ACIP) (2021). Available online at: https://www.cdc.gov/vaccines/acip/meetings/downloads/slides-2021-01/06-COVID-Shimabukuro.pdf (accessed Nov 13, 2021).

45. Djanas D, Yusirwan Martini RD, Rahmadian Putra H, Zanir A, et al. Survey data of COVID-19 vaccine side effects among hospital staff in a national referral hospital in Indonesia. Data Br. (2021) 36:107098. doi: 10.1016/j.dib.2021.107098

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Jacobsen H, Klein SL. Sex differences in immunity to viral infections. Front Immunol. (2021) 12:720952. doi: 10.3389/fimmu.2021.720952

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Klein SL, Jedlicka A, Pekosz A. The Xs and Y of immune responses to viral vaccines. Lancet Infect Dis. (2010) 10:338–49. doi: 10.1016/S1473-3099(10)70049-9

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Desai AP, Desai AP, Loomis GJ. Relationship between pre-existing allergies and anaphylactic reactions post mRNA COVID-19 vaccine administration. Vaccine. (2021) 39:4407–9. doi: 10.1016/j.vaccine.2021.06.058

PubMed Abstract | CrossRef Full Text | Google Scholar

49. National National Institute of Statistics Geography Informatics (INEGI). Population and Housing Census. (2020). Available online at: https://www.inegi.org.mx/programas/ccpv/2020/default.html#Tabulados (accessed February 3, 2022).

50. Shamah-Levy T, Romero-Martínez M, Barrientos-Gutiérrez T, Cuevas-Nasu L, Bautista-Arredondo S, Colchero MA, et al. National Health and Nutrition Survey 2020 on Covid-19. National results. Cuernavaca, México (2021).

PubMed Abstract | Google Scholar

Keywords: COVID-19, SARS-CoV-2, side effects, local effects, systemic effects, vaccination, vaccine

Citation: Camacho Moll ME, Salinas Martínez AM, Tovar Cisneros B, García Onofre JI, Navarrete Floriano G and Bermúdez de León M (2022) Extension and Severity of Self-Reported Side Effects of Seven COVID-19 Vaccines in Mexican Population. Front. Public Health 10:834744. doi: 10.3389/fpubh.2022.834744

Received: 13 December 2021; Accepted: 07 February 2022;
Published: 14 March 2022.

Edited by:

Abanoub Riad, Masaryk University, Czechia

Reviewed by:

Shyh Poh Teo, Raja Isteri Pengiran Anak Saleha Hospital, Brunei
Andrea Pokorná, Masaryk University, Czechia
Carlos Miguel Rios-González, National University of Caaguazú, Paraguay
Arkadiusz Dziedzic, Medical University of Silesia, Poland
Ahmad Sofi-Mahmudi, National Institute for Medical Research and Development, Iran

Copyright © 2022 Camacho Moll, Salinas Martínez, Tovar Cisneros, García Onofre, Navarrete Floriano and Bermúdez de León. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: María Elena Camacho Moll, bXZ6X2VsZW5hY2FtYWNobyYjeDAwMDQwO2hvdG1haWwuY29t
Ana María Salinas Martínez, YW1zYWxpbmFzbWFydGluZXomI3gwMDA0MDtnbWFpbC5jb20=

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