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Table 2 Background variables by different dimensions of life quality

From: An investigation of the effects of infertility on Women’s quality of life: a case-control study

Variable Range Physical Health Dimension Mental Health Dimension Environmental Health Dimension Social Health Dimension Total score of quality of life
± ӿ s.d P-valuea ± ӿ s.d P-valuea ± ӿ s.d P-valuea ± ӿ s.d P-valuea ± ӿ s.d P-valuea
Age Range <  35 50.0 ± 8.3 < 0.001 56. 2 ± 13.8 < 0.001 54.4 ± 9.9 0.315 33.8 ± 18.5 0.222 225.2 ± 27.9 0.509
≤35 47.6 ± 8.0 51.9 ± 14.9 53.8 ± 9.4 36.2 ± 19.1 226.3 ± 27.4
Duration of Marriage > 10 50.8 ± 7.9 < 0.001 57.3 ± 13.3 < 0.001 54.6 ± 10.6 0.290 32.1 ± 18.4 < 0.001 223.6 ± 29.0 0.031
≤10 47.6 ± 8.3 52.1 ± 14.8 53.8 ± 8.8 37.1 ± 18.8 227.5 ± 26.5
Educational Level Illiterate or primary school 46.8 ± 8.8 < 0.001 49.5 ± 14.3 < 0.001 52.3 ± 9.1 0.001 40.0 ± 18.8 < 0.001 228.5 ± 27.0 0.181
Junior high school to high school diploid 48.8 ± 7.3 54.3 ± 13.5 53.5 ± 9.1 34.7 ± 18.9 225.3 ± 27.4
University 51.5 ± 8.3 59.3 ± 13.7 56.5 ± 10.4 30.2 ± 17.5 223.4 ± 28.6
Occupational Status Housewife 48.6 ± 8.4 0.014 52.9 ± 14.2 < 0.001 52.9 ± 9.4 < 0.001 36.4 ± 18.9 < 0.001 226.1 ± 28.1 0.334
Employed 50.3 ± 7.8 58.6 ± 13.8 57.1 ± 9.8 30.7 ± 19.7 230.7 ± 28.4
Husbands’ Educational Level Illiterate or primary school 46.9 ± 8.4 0.001 50.0 ± 13.7 < 0.001 52.9 ± 9.1 < 0.001 40.6 ± 19.0 < 0.001 230.9 ± 28.8 < 0.001
Junior high school to high school diploma 49.2 ± 7.7 54.8 ± 13.9 52.8 ± 9.0 32.3 ± 18.1 220.3 ± 24.7
University 51.6 ± 7.9 59.7 ± 13.6 56.8 ± 10.3 30.1 ± 17.4 223.8 ± 27.9
Residential Property Ownership Status Rented or Living with parents 48.1 ± 7.4 0.055 52.0 ± 13.1 0.002 51.8 ± 9.8 < 0.001 38.2 ± 18.3 0.024 225.9 ± 27.6 0.559
Personally owned 49.7 ± 8.1 55.6 ± 14.7 55.1 ± 9.5 33.4 ± 18.8 226.5 ± 27.4
Underlying Diseases No 49.5 ± 6 < 0.001 55.9 ± 13.9 < 0.001 54.2 ± 9.7 0.850 33.3 ± 18.2 0.006 223.7 ± 27.5 < 0.001
Yes 45.1 ± 8.4 45.8 ± 14.3 54.0 ± 9.3 44.7 ± 19.5 238.7 ± 25.6
Consanguineous Marriage No 49.4 ± 8.1 0.158 55.6 ± 13.9 0.035 54.2 ± 9.3 0.799 34.0 ± 17.5 0.089 225.3 ± 25.8 0.587
Yes 48.6 ± 8.5 52.8 ± 14.9 54.2 ± 10.3 36.0 ± 20.9 226.2 ± 30.9
Infertility Status Fertile 50.2 ± 8.1 < 0.001 58.8 ± 12.0 < 0.001 54.3 ± 9.4 0.560 29.5 ± 15.7 < 0.001 219.9 ± 24.3 < 0.001
Infertile 46.1 ± 8.1 41.9 ± 13.3 53.7 ± 10.4 50.6 ± 18.4 242.7 ± 30.4
Type of Infertility b Primary 46.1 ± 8.1 0.771 42.0 ± 13.5 0.554 53.8 ± 10.4 0.723 50.7 ± 18.0 0.845 234.0 ± 30.4 0.601
Secondary 45.3 ± 7.6 40.1 ± 11.1 53.5 ± 10.6 49.5 ± 22.5 239.2 ± 31.2
Costs of infertility treatment b < US$ 1500 45.8 ± 6.0 0.820 47.0 ± 12.1 0.023 54.9 ± 11.3 0.401 44.3 ± 11.6 0.025 235.3 ± 24.4 0.128
≥ US$ 1500 46.1 ± 8.4 40.6 ± 13.3 53.4 ± 10.2 52.1 ± 18.1 244.4 ± 31.5
Type of Infertility Treatment b Medications only 46.8 ± 7.7 0.560 47.9 ± 12.2 < 0.001 55.5 ± 10.3 0.019 44.8 ± 18.4 0.005 238.9 ± 27.2 0.194
Medications and surgery 47.2 ± 10.2 40.3 ± 14.3 45.5 ± 7.7 51.9 ± 13.0 233.4 ± 30.7
IVF 45.4 ± 7.8 37.7 ± 12.2 53.2 ± 9.8 55.7 ± 17.4 248.5 ± 30.9
IUI / ICSI 45.0 ± 10.4 29.6 ± 8.2 51.9 ± 13.8 52.5 ± 20.1 232.7 ± 43.1
  1. The GEE method with identity link fuction was deployed. In each separate GEE, quality of life scores was considered as dependent variable and each single demographic predictor was used as an independent variable
  2. a These variables were taken into consideration in matching the two groups
  3. b In these variables, only the data from the infertile group were used to assess relationships