Wang 2020b.

Study characteristics
Notes	English title Overweight and obesity are risk factors of severe illness in patients with COVID‐19 Study setting Start of study recruitment (MM/YYYY): 01/2020 End of study recruitment (MM/YYYY): 02/2020 Study design: Retrospective cohort Study centre(s): Multiple centres/clinics/areas within a country Number of centres, clinics or areas: 10 Study setting: Inpatient Number of participants recruited: 297 Sampling method: Consecutive participants Participants Female participants (absolute number): 133 Age measure, value: Median (IQR), NR Inclusion criteria: Patients with COVID‐19 from 10 medical centres in 10 cities of Jiangsu, China, diagnosed by clinical manifestation, CT scan, RT‐PCR Exclusion criteria: Lack of BMI data, being under 12 years old Smoking frequency: NR Diabetes frequency: 25 Hypertension frequency: 48 Cardiovascular disease frequency: 6 Asthma frequency: NR Chronic obstructive pulmonary disease frequency: 12 Other pulmonary disease frequency: NR Immunosuppression frequency: NR Chronic kidney disease frequency: NR Cancer frequency: 4 Steroid administration frequency: NR Supplemental oxygen administration frequency: 172 Other treatments (frequency): NR Prognostic factor(s) Study’s definition for obesity: According to criterion of guidelines for prevention and control of overweight and obesity in Chinese adults, 24 ≤ BMI < 28 and BMI ≥ 28 was defined as overweight and obesity, respectively. The time when obesity has been measured: NR Main variable used for determination of obesity: BMI Threshold used for definition: 28 Obesity frequency (absolute number): 40 Prognostic factor(s): BMI 24‐28 kg/m2 BMI ≥ 28 kg/m2 Outcome(s) Severe COVID Outcome (prognostic factor) Severe COVID (BMI 24‐28 kg/m2) Follow‐up Number of patients followed completely for the outcome: 297 Number of obese patients followed completely for the outcome: 40 Number of non‐obese patients followed completely for the outcome: 257 Univariable unadjusted analysis for obesity Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 5 (1.61, 15.51), 0.005 Multivariable analysis for obesity Modelling method: It was stated that multivariate logistic and Cox regression analysis were used. The set of prognostic factors used for adjustment: Age, cardiovascular diseases, chronic lung diseases, hypertension, type 2 diabetes, malignant tumours, sex Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 4.16 (1.29, 13.4), 0.017 Outcome (prognostic factor) Severe COVID (obesity) Follow‐up Number of patients followed completely for the outcome: 297 Number of obese patients followed completely for the outcome: 40 Number of non‐obese patients followed completely for the outcome: 257 Univariable unadjusted analysis for obesity Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 11.33 (3.32, 38.58), < 0.001 Multivariable analysis for obesity Modelling method: It was stated that multivariate logistic and Cox regression analysis were used. The set of prognostic factors used for adjustment: Age, cardiovascular diseases, chronic lung diseases, hypertension, type 2 diabetes, malignant tumours, sex Effect measure for obesity: Odds ratio Effect measure value (95% CI), P value: 9.02 (2.52, 32.29), 0.001
Item	Authors' judgement	Support for judgement
Study Participation	Yes	Appendix 3
Study Attrition Severe COVID	Unclear	Appendix 3
Prognostic Factor Measurement	Yes	Appendix 3
Outcome Measurement Severe COVID	Yes	Appendix 3
Confounding Bias Severe COVID	Yes	Appendix 3
Statistical Analysis Bias	Unclear	Appendix 3