Table 1

Influence of obesity and PCOS on clinical and biochemical variables of premenopausal women

Nonobese women (n = 129)
Obese women (n = 128)
PCOS (n = 149) vs. control (n = 108)
Obese (n = 128) vs. nonobese (n = 129)
Interaction
PCOS patientsNonhyperandrogenic womenPCOS patientsNonhyperandrogenic womenF/χ2P valueF/χ2P valueFP value
n82476761
Age (years)24 ± 629 ± 727 ± 733 ± 843.97<0.00111.790.0010.190.664
BMI (kg/m2)24.4 ± 3.524.4 ± 4.136.9 ± 5.536.7 ± 5.41.730.190404.80<0.0010.090.764
Waist circumference (cm)73 ± 1076 ± 1197 ± 1396 ± 130.940.334212.62<0.0012.170.142
WHR0.75 ± 0.070.76 ± 0.080.82 ± 0.080.80 ± 0.088.370.00426.50<0.0012.300.131
Hirsutism score11 ± 62 ± 210 ± 61 ± 2217.83<0.0013.360.0682.270.133
Free testosterone (pmol/l)37 ± 1819 ± 854 ± 2524 ± 10116.10<0.00133.60<0.0011.820.179
Estradiol (pmol/l)134 ± 80245 ± 233180 ± 129231 ± 19810.800.0010.4140.5214.170.042
Luteinizing hormone (units/l)6.6 ± 3.95.3 ± 3.16.1 ± 3.84.9 ± 3.15.200.0230.9020.3430.010.995
Follicle-stimulating hormone (units/l)5.7 ± 4.26.4 ± 6.16.2 ± 4.55.8 ± 1.80.3610.5480.010.9480.590.442
Fasting insulin (pmol/l)75 ± 5858 ± 46137 ± 7584 ± 4415.19<0.00146.69<0.0011.770.185
Fasting glucose (mmol/l)4.9 ± 0.45.0 ± 0.45.3 ± 0.55.2 ± 0.50.020.89020.08<0.0013.860.051
Insulin sensitivity index5.4 ± 3.07.0 ± 3.82.8 ± 2.14.8 ± 3.627.34<0.00152.23<0.0013.530.061
CRP (mg/l)1.3 ± 1.71.3 ± 1.66.0 ± 5.65.6 ± 5.11.680.196161.77<0.0010.290.558
Haptoglobin (μmol/l)12 ± 412 ± 417 ± 517 ± 50.010.96966.13<0.0010.380.539
Regular menstruation16 (20)47 (100)10 (15)61 (100)
Oligomenorrhea47 (57)0 (0)35 (52)0 (0)171.00<0.0012.450.294
Amenorrhea19 (23)0 (0)22 (33)0 (0)
Normal glucose tolerance74 (90)40 (85)46 (70)43 (70)0.5120.47413.72<0.001
Abnormal glucose tolerance8 (10)7 (15)21 (31)18 (30)
  • Data are means ± SD or raw numbers (%). Continuous data were used for univariate general linear models and, because age was different between patients with PCOS and nonhyperandrogenic women and between obese and nonobese women, age was introduced as a covariate in the analysis of all the other variables. Categorical data were analyzed by χ2 tests.