Table 1.
Variables | Value |
---|---|
Sociodemographic characteristics | |
Age (years, mean ± SD) | 59.3±10.6 |
Sex (%) | |
Male | 48.0 |
Female | 52.0 |
Educational level (%) | |
Low | 63.5 |
Medium | 22.3 |
High | 14.2 |
BMI (kg/m2, mean ± SD) | 21.5±2.1 |
Smoking status (%) | |
Current | 27.2 |
Former | 9.0 |
Never | 63.8 |
Pack-years of cigarette for current smokers | 32.3 ± 24.1 |
Drinking frequency (%) | |
>1/month | 24.5 |
<1/month | 7.8 |
Never | 67.7 |
Residence (%) | |
Urban | 32.4 |
Rural | 67.6 |
Type of heating energy (%) | |
Central heating | 11.6 |
Clean (solar energy, electricity, natural gas) | 24.3 |
Unclean (coal or biomass) | 46.3 |
Other | 17.9 |
Type of cooking energy (%) | |
Clean (solar energy, electricity, natural gas) | 53.7 |
Unclean (coal or biomass) | 45.7 |
Other | 0.6 |
Diabetes | |
Prevalence of T2DM (%) | 15.8 |
Fasting glucose (mmol/L, mean ± SD) | 6.1±2.0 |
HbA1c (%, mean ± SD) | 5.2±0.8 |
Abbreviations: SD, standard deviation; BMI, body mass index; HbA1c, glycosylated hemoglobin, %.
All numbers were weighted with the inverse probability weights, which were constructed by estimating a logic regression of whether the individual participated in the blood drawn.