Table 3.
Factors affecting IgG-S titers by multivariate linear regression for the entire cohort with or without adjustment
Without adjustment | With adjustment | ||||||
---|---|---|---|---|---|---|---|
Variable | Estimate | SE | p | Estimate | SE | p | |
(Intercept) | 10.85 | 0.272 | < 0.001 | 10.32 | 0.711 | < 0.001 | |
Time lag, month | -0.356 | 0.036 | < 0.001 | -0.304 | 0.058 | < 0.001 | |
HTLV-1 infection | -0.465 | 0.188 | 0.014 | -0.501 | 0.179 | 0.006 | |
Age | -0.020 | 0.006 | 0.001 | -0.009 | 0.012 | 0.450 | |
Male gender | -0.081 | 0.158 | 0.610 | -0.213 | 0.200 | 0.288 | |
Higher BMI | -0.131 | 0.257 | 0.610 | -0.053 | 0.252 | 0.833 | |
Drinking habit | -0.066 | 0.159 | 0.679 | 0.136 | 0.142 | 0.338 | |
Smoking habit | -0.182 | 0.211 | 0.392 | -0.157 | 0.161 | 0.332 | |
Presence of diabetes, hypertension, or dyslipidemia | 0.061 | 0.147 | 0.678 | -0.051 | 0.146 | 0.728 | |
COVID-19 vaccination history involving different types of combinations | -0.161 | 0.155 | 0.300 | -0.311 | 0.161 | 0.056 |
The propensity score method using overlap weights was employed to adjust for confounding
Abbreviations: HTLV-1, human T-lymphotropic virus type 1; BMI, Body Mass Index; SE, standard error; p, p value. Higher BMI is defined as “BMI > = 30.” Drinking habit is defined as “drinking alcohol more than 3 days per week.” Smoking habit is defined as “still have a habit”