## What is/are Factors Adjusted?

Factors Adjusted - pylori infection was analyzed using the Cox proportional hazard model, with sociodemographic and clinical factors adjusted.^{[1]}We performed multivariate logistic regression to analyse if aetiological factors adjusted for covariates were independently associated with morphological pancreatic features.

^{[2]}In individual regression analyses of potential delirium risk factors adjusted for age, sex and education, factors significantly associated with delirium included being divorced/widowed (OR 1.

^{[3]}The potential confounding factors adjusted hazard for incidence of disability in the group with lower life satisfaction was 1.

^{[4]}Hazard ratios (HR) were obtained by Cox proportional hazard models with patient demographics and confounding factors adjusted in multivariate regression.

^{[5]}Preoperative GDF-15 was associated with the primary endpoint of intra- and postoperative red blood cell transfusion (for bleeding risk factors adjusted [adj] OR [odds ratio] per 1-SD [standard deviation] of 1.

^{[6]}The association between each GRS and fracture risk were evaluated in separate Cox Proportional Hazard models, with FRAX clinical risk factors adjusted for.

^{[7]}We implemented the methodology of the Chinese emissions guidelines into the open-source model VEIN to obtain emission factors adjusted by temperature, humidity, altitude, speed, fuel quality, and activity.

^{[8]}Factors adjusted for included age, gender, BMI, smoking, drinking, education, residence, marital status and dietary factors.

^{[9]}In the risk-factors adjusted Cox regression model, compared to participants with HLS of 0, participants with HLS of 2 had significant lower risk of all-cause mortality (HR = 0.

^{[10]}Multiple logistic regression analyses were performed to investigate associations between low protein intake, dietary patterns and modifiable risk factors adjusted for age, sex, BMI-categories and diseases.

^{[11]}Univariate and multivariate Cox analyses showed the risk score systems for OS or RFS were significant independent factors adjusted for clinical factors.

^{[12]}Multivariate logistic regression was carried out in a dominant model with confounding factors adjusted.

^{[13]}The factor describing intrinsic orientation towards goal setting was removed following exploratory analysis, while other factors adjusted satisfactorily.

^{[14]}Objective To assess which factors, including maternal, lifestyle, pregnancy- and delivery-related, fetal and neonatal factors adjusted for socio-economic status, are related to emotional and behavioral problems in moderately-late preterm born children (MLPs; gestational age 32.

^{[15]}77), which was significantly lower than that with dietary factors adjusted (RR = 0.

^{[16]}

## Risk Factors Adjusted

In individual regression analyses of potential delirium risk factors adjusted for age, sex and education, factors significantly associated with delirium included being divorced/widowed (OR 1.^{[1]}Preoperative GDF-15 was associated with the primary endpoint of intra- and postoperative red blood cell transfusion (for bleeding risk factors adjusted [adj] OR [odds ratio] per 1-SD [standard deviation] of 1.

^{[2]}The association between each GRS and fracture risk were evaluated in separate Cox Proportional Hazard models, with FRAX clinical risk factors adjusted for.

^{[3]}Multiple logistic regression analyses were performed to investigate associations between low protein intake, dietary patterns and modifiable risk factors adjusted for age, sex, BMI-categories and diseases.

^{[4]}

## Confounding Factors Adjusted

The potential confounding factors adjusted hazard for incidence of disability in the group with lower life satisfaction was 1.^{[1]}Hazard ratios (HR) were obtained by Cox proportional hazard models with patient demographics and confounding factors adjusted in multivariate regression.

^{[2]}Multivariate logistic regression was carried out in a dominant model with confounding factors adjusted.

^{[3]}