Table 5.

Assessment of factors affecting whether the participants (n = 567) experienced side effects after the first dose.

Parameter	Appearance of side effects after the first dose
	OR	P-value#	OR	P-value$
Gender • Male • Female	Reference 1.318	0.081*	1.307	0.103
Age • <40 years old • ≥40 years old	Reference 0.579	0.027*	0.571	0.046**
Got infected before vaccinated	1.343	0.026*	1.289	0.063
Smoker	0.996	0.957	—–	——
Allergy	1.748	0.001*	1.512	0.024**
Asthma	1.273	0.462	—–	—–
Blood Diseases	3.126	0.082*	1.645	0.480
Bone Diseases	1.803	0.150*	0.976	0.959
Bowel Diseases	2.510	0.004*	1.856	0.071
Cancer	1.123	0.880	—–	—–
Cardiac Diseases	1.205	0.707	—–	—–
Chronic Hypertension	0.664	0.138*	0.626	0.324
Neurologic Diseases	0.924	0.858	—–	—–
Diabetes Mellitus—type one	1.868	0.260	—–	—–
Diabetes mellitus—type two	0.970	0.937	—–	—–
Renal Diseases	1.180	0.779	—–	—–
Hepatologic Diseases	0.963	0.924	—–	—–
Rheumatoid Arthritis	7.341	0.008*	6.241	0.023**
Thyroid Disease	0.984	0.947	—–	—–
Chronic Obstructive Pulmonary Disease (COPD)	0.963	0.924	—–	—–
Common Analgesics (for example: paracetamol)	1.248	0.118*	0.920	0.607
Antihistamines	1.615	0.036*	1.013	0.963
Thyroid Hormones	0.912	0.712	—–	—–
Antibiotics	1.152	0.582	—–	—–
Anti-hypertensives	0.684	0.138*	0.983	0.969
Nonsteroidal Anti-inflammatory Drugs (NSAIDs)	2.719	0.001*	2.091	0.029**
Anti-diabetics	1.475	0.200*	1.519	0.197
Cholesterol-lowering agents	0.797	0.456	—–	—–
Anti-reflux medications	2.701	0.007*	1.935	0.101
Contraceptives	0.938	0.851	—–	—–
Anti-depressants	2.064	0.058*	1.435	0.379
Anti-asthmatics	1.825	0.193*	1.181	0.736
Anti-coagulants	1.376	0.482	—–	—–
Anti-epileptics	1.010	0.987	—–	—–
Opioid Analgesics	2.261	0.230*	1.197	0.814
Corticosteroid	2.540	0.255	—–	—–
Immunosuppressives	0.905	0.818	—–	—–

#Using simple logistic regression, $Using multiple logistic regression, *A variable that entered the multiple logistic regression analysis after it was significant at 0.25 significant level at the simple logistic regression, **Significant at 0.05 significance level.