Table 1

Variables affected by presence/absence of BMI, FEV1, FVC, FEV1/FVC and concentration

Presence/absence ofVariables affected
BMIDate, Age, SYS, DIAS, HDL, CRS, BHL, Missing%, FEV1/FVC, FEV1%, Site, Type, SEG (P), Code, SEG (S), Rpt Visit, Smoking, Sex
FEV1, FVC, FEV1/FVCDate, Age, SYS, DIAS, HDL, CRS, BHL, Missing%, FEV1/FVC, FEV1%, Site, Type, SEG (P), Code, SEG (S), Rpt Visit, Smoking, Sex, Ex/week
ConcentrationUIN, Date, Missing%, Site, Type, SEG (P), SEG (S)
  • Age, age at time of examination; BHL, binaural hearing loss (%); BMI, body mass index; Code, medical code; CRS, cardiac risk score; Date, date of examination; Dias, diastolic blood pressure; Ex/week, # planned exercise sessions per week; FEV1/FVC, ratio of FEV1% to FVC% (FVC, forced vital capacity; FEV1%, forced expiratory volume in 1 s; HDL, high density lipoprotein cholesterol; Missing %, the per cent of missing data in that row; Rpt Visit, number of medical attendances; SEG(P), primary SEG; SEG(S) is the secondary SEG; Sex, gender; Site, site the data belongs to; Smoking, smoking status of employees—current, ex, or non-smoker; Sys, systolic blood pressure; Type, type of data (1=medical, 2=follow-up medical, 3=inhalable data; 4=respirable data; 5=silica exposure data; 6=noise exposure data); UIN, unique identifying number for an employee.