COVID-19 Vaccination and Mental Stress within Diverse Sociodemographic Groups
Abstract
:1. Introduction
2. Materials and Methods
2.1. Primary Dataset Acquisition
2.2. Data Preparation
2.3. Statistical Analysis and Visualisations
3. Results and Discussions
3.1. Mental Stress Causes
3.1.1. Sex (Male, Female)
3.1.2. Age Groups
3.1.3. Ethnicity
3.1.4. Profession
3.2. Vaccination Acceptability and Perception
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Study/Method | Outcomes | Public Data | Comments |
---|---|---|---|
Ref. [15] Analysis of psychological stress associated with COVID-19 vaccination in China. Multi-linear regression (MLR) is used to identify the strength of the relationship | Higher stress level is noticed in participants with a low level of education, young age, history of chronic disease, mistrust of the vaccination | No | It would be better to ask participants about how they cope with mental stress. No multi-dimensional pattern analysis is performed |
Ref. [12] 1024 parents were surveyed to analyse the parental stress and occurrence of adverse childhood experience (ACE) during the pandemic in Germany | Over 50% of the parents reported being stressed by social distancing and the closure of schools and childcare facilities. Up to 33% of the sample reported ACEs in the child’s lifetime | No | Simple frequency and correlation statistics are measured indicating the association between individual factors. No multi-dimensional pattern analysis is performed |
Ref. [13] Gender differences in the mental health of university students during the COVID-19 pandemic is addressed using an online survey of 366 undergraduates | Female students are more affected by isolation in the pandemic as compared to males. Regardless of gender, the pandemic has a negative impact on social relationships | No | Study reported the use of social media as a coping strategy with the pandemic situation, however, it affected the students’ academic performance. No multi-dimensional pattern analysis is performed |
Ref. [33] Stress, anxiety and depression among undergraduate students during the pandemic is addressed. Responses from 2059 students are considered for the analysis using MLR | Females, rural, low-income, and academically underperforming students are identified as being more vulnerable to mental stress, anxiety and depression | No | Study mainly focuses on pandemic-related issues. The authors could also include a survey question about coping strategies for these challenges. No multi-dimensional pattern analysis is performed |
Ref. [14] Anxiety, stress, depression, and fear during the pandemic in healthcare workers (365 survey participants) are analysed in Jordan | Psychological distress is associated with multiple factors including being male, married, aged 40 years and older, and having more clinical experience. Study also reported that social support during the pandemic is primarily dependent on support from their families, followed by support from friends | Yes | Authors may use appropriate data transformation (e.g., one-hot encoding). Study also addressed some strategies to mental health issues (e.g., social support during pandemic). Sample is comparatively small. No multi-dimensional pattern analysis is performed |
Ref. [34] Pandemic impact on the mental health of adults in Bangladesh is addressed. A total of 1427 participants were surveyed and analysed using MLR. | Study reported a high level of: -Anxiety within the older age group (40 plus), females, low education level, and housewives -Depressive symptoms in youth (23 years and younger), females, and unemployed people -Stress in females and unemployed people. | No | Study addresses the sociodemographic factors, including gender, age, educational level, religion, etc., however, with limited diversity (e.g., one ethnic background and 75% male participants). No multi-dimensional pattern analysis is performed |
Refs. [35,36,37] Review studies on mental health issues associated with COVID-19, vaccination, and the pandemic | [37] COVID-19 has direct and indirect impacts on mental health. [35] Healthcare workers, children, students, people with existing psychiatric disorder, and adolescents have been particularly affected by the pandemic. [36] Depression, anxiety, and psychological distress are highly associated with the pandemic. There is no significant difference in gender and geographic locations | NA | Recommended non-psychiatrist coping mechanisms to help prevent mental health issues. Large subjective variations exists in relation to mental health issues, indicating the need to provide personalised help and interventions (for post-pandemic and future epidemics) mainly to the vulnerable groups. |
Attribute | n(%) | Attribute | n(%) | Attribute | n(%) |
---|---|---|---|---|---|
Ethnicity | |||||
- Asian/Arabic | 146(24) | Profession | age-Group | ||
- White British | 386(64) | - Education | 284(47) | - Under 20 | 12(2) |
- White EU | 51(8) | - Medical | 107(18) | - 21–30 | 68(11) |
- Other | 17(3) | - Other | 209(35) | - 31–40 | 113(19) |
Stress reduced | - 41–50 | 156(26) | |||
Safe vaccine | - yes | 283(47) | - 51–60 | 137(23) | |
- yes | 507(84) | - no | 198(33) | - 61–70 | 81(14) |
- no | 93(16) | - do not know | 119(20) | - Over 70 | 33(6) |
Stress-causes | |||||
□ Work | 203(48) | ||||
Sex | Stress COVID | □ Pandemic | 183(43) | ||
- male | 252(42) | - yes | 402(67) | □ COVID-19 (infection) | 152(36) |
- female | 348(58) | - no | 198(33) | □ Childcare/School | 105(25) |
Type of vaccine | □ Relationships | 92(22) | |||
- None | 123(20) | □ Other | 54(12) | ||
- pFizer-BioNtech | 180(30) | □ Finance | 46(11) | ||
- Oxford-AstraZeneca | 290(48) | □ Studies/perf | 42(10) | ||
- Other | 7(1) | □ Vaccine | 39(9) | ||
Side effects of vaccine | |||||
□ Tired | 228(47) | Shopping online | |||
□ Muscle-Pain/Swell | 184(38) | Stress management | - yes | 396(66) | |
□ Headache | 175(36) | □ Speak to family | 242(40) | - no | 204(24) |
□ Chill/Aches | 166(34) | □ Watch TV, etc. | 203(34) | Social media time | |
□ Fever | 106(22) | □ Engage in hobbies | 178(30) | - yes | 577(96) |
□ None | 95(20) | □ No stress | 123(20) | - no | 23(4) |
□ Strange feeling | 52(11) | □ Sports/games | 111(18) | Stress-shopping | |
□ Nausea | 48(10) | □ Other | 83(14) | - yes | 350(58) |
□ Dizziness | 36(8) | □ Social media use | 79(13) | - no | 250(42) |
Accept vaccine | Concerns vaccine | 93 (15) | Future SOP | ||
□ Yourself | 451(75) | □ Side effects | 70(67) | □ Mask wear | 328(55) |
□ Children | 283(47) | □ Other | 33(32) | □ Social distance | 291(48) |
□ Family | 483(80) | □ Personal beliefs | 15(14) | □ Tier response | 197(33) |
□ None | 32(5) | □ Allergic | 9(8) | □ No restriction | 167(28) |
□ Do not know | 37(6) | □ Needle-phobia | 4(4) | □ Lockdown | 81(13) |
Childcare and School Closure | Work | Vaccine | Pandemic | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
X2 | Df | p-Value | X2 | df | p-Value | X2 | Df | p-Value | X2 | df | p-Value | |
Ethnicity | 4.9 | 3 | 0.11 | 5.8 | 3 | 0.12 | 19 | 3 | 0.0002 | 4.5 | 3 | 0.21 |
Age group | 88 | 6 | 2.2 × 10−16 | 38 | 6 | 9.4 × 10−7 | 11 | 6 | 0.08 | 12 | 6 | 0.06 |
Sex | 5.3 | 1 | 0.02 | 1.8 | 1 | 0.17 | 0 | 1 | 1 | 5.7 | 1 | 0.01 |
Profession | 3.6 | 2 | 0.12 | 15.6 | 2 | 0.0003 | 2.3 | 2 | 0.3 | 1.9 | 2 | 0.3 |
Relationships | Stress_COVID | Finance | Studies/Performance | |||||||||
Ethnicity | 6.9 | 3 | 0.07 | 6.9 | 3 | 0.07 | 18.4 | 3 | 0.0003 | 21 | 3 | 0.00001 |
Age group | 10.4 | 6 | 0.1 | 16 | 6 | 0.01 | 11.7 | 6 | 0.06 | 45 | 6 | 4.2 × 10−8 |
Gender | 1.9 | 1 | 0.15 | 21.4 | 1 | 3.5 × 10−6 | 0 | 1 | 1 | 0.8 | 1 | 0.3 |
Profession | 0.6 | 2 | 0.7 | 17.6 | 2 | 0.0001 | 7.5 | 2 | 0.02 | 2.6 | 2 | 0.2 |
Safe Vaccine | Vaccine Acceptance | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Yourself | Children | Family | None | |||||||
X2 | p | X2 | p | X2 | P | X2 | p | X2 | p | |
Age group | 22 | 0.0009 | 10 | 0.1 | 23 | 0.0005 | 7 | 0.34 | 9 | 0.16 |
Sex | 0.01 | 0.91 | 13 | 0.7 | 0.8 | 0.35 | 3.8 | 0.05 | 0.1 | 0.7 |
Profession | 12 | 0.002 | 20 | 4 × 10−5 | 20 | 3.7 × 10−5 | 19 | 6.3 × 10−5 | 9 | 0.01 |
Ethnicity | 38 | 1 × 10−8 | 48 | 2 × 10−10 | 35 | 1.1 × 10−7 | 31 | 7.8 × 10−7 | 17 | 0.0007 |
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Share and Cite
Khan, W.; Khan, B.M.; Yasen, S.; Al-Dahiri, A.; Al-Jumeily, D.; Dajani, K.; Hussain, A. COVID-19 Vaccination and Mental Stress within Diverse Sociodemographic Groups. Int. J. Environ. Res. Public Health 2022, 19, 12932. https://doi.org/10.3390/ijerph191912932
Khan W, Khan BM, Yasen S, Al-Dahiri A, Al-Jumeily D, Dajani K, Hussain A. COVID-19 Vaccination and Mental Stress within Diverse Sociodemographic Groups. International Journal of Environmental Research and Public Health. 2022; 19(19):12932. https://doi.org/10.3390/ijerph191912932
Chicago/Turabian StyleKhan, Wasiq, Bilal M. Khan, Salwa Yasen, Ahmed Al-Dahiri, Dhiya Al-Jumeily, Khalil Dajani, and Abir Hussain. 2022. "COVID-19 Vaccination and Mental Stress within Diverse Sociodemographic Groups" International Journal of Environmental Research and Public Health 19, no. 19: 12932. https://doi.org/10.3390/ijerph191912932