| Literature DB >> 27921000 |
Ansha Patel1, Podila Satya Venkata Narasimha Sharma1, Pratapkumar Narayan2, Binu Valsalakumari Sreekumaran Nair3, Dinesh Narayanakurup4, Praveena Joglekar Pai5.
Abstract
BACKGROUND: Being infertile comes as an overwhelming realization for couples trying to conceive. In consideration of rising rates of infertility worldwide, clinicians in India have also begun exploring this field for new possibilities, development and research. The purpose of this study was to estimate the proportion and predictors of infertility specific stress in males diagnosed with primary infertility.Entities:
Keywords: Cross-sectional study; India; Infertility; Male; Morbidity; Psychological factors; Stress
Year: 2016 PMID: 27921000 PMCID: PMC5124340
Source DB: PubMed Journal: J Reprod Infertil ISSN: 2228-5482
Associations between infertility specific stress in men and demographic factors
| 24–32 years (n=100) | 75 (75) | 25 (25) | 1 | -- |
| 33–39 years (n=140) | 98 (70) | 42 (30) | 1.09 (0.52, 2.26) | 0.81 |
| ≥40 years (n=60) | 44 (73.3) | 16 (26.7) | 0.85 (0.43, 1.66) | 0.63 |
| ≤5 years (n=182) | 125 (68.7) | 57 (31.3) | 1 | -- |
| >5 years (n=118) | 92 (78.9) | 26 (29.0) | 1.61 (0.94, 2.75) | 0.08 |
| ≤5 years (n=192) | 132 (68.75) | 60 (31.25) | 1 | -- |
| >5 years (n=108) | 85 (78.70) | 23 (21.30) | 1.68 (0.96, 2.91) | 0.06 |
Univariate Logistic Regression
Associations between infertility specific stress in men and clinical variables
| ≤5 years (n=271) | 195 (71.95) | 76 (28.05) | 1 | -- |
| >5 years (n=29) | 22 (75.86) | 7 (24.14) | 1.22 (0.50, 2.98) | 0.65 |
| Female factor (n=89) | 56 (62.92) | 33 (37.07) | 1 | -- |
| Male factor (n=76) | 64 (84.21) | 12 (15.78) | 1.55 (0.75, 3.22) | 0.24 |
| Combined factor (n=91) | 74 (81.31) | 17 (18.68) | 4.87 (2.01, 11.44) | <0.001 |
| Unexplained (n=44) | 23 (52.27) | 21 (47.72) | 3.97 (1.80, 8.77) | <0.001 |
| No (n=66) | 47 (71.21) | 19 (28.78) | 0.93 (0.51, 1.71) | 0.82 |
| Yes (n=234) | 170 (72.64) | 64 (27.35) | 1 | -- |
| No (n=281) | 199 (70.81) | 82 (29.18) | 1 | -- |
| Yes (n=19) | 18 (94.73) | 1 (5.26) | 7.41 (0.97, 56.47) | 0.05 |
| Nil (n=134) | 89 (66.41) | 45 (33.58) | 1 | -- |
| 1–3 cycles (n=119) | 92 (77.31) | 27 (22.68) | 0.64 (0.28, 1.30) | 0.19 |
| 4–12 cycles (n=47) | 36 (76.59) | 11 (23.40) | 1.04 (0.46, 2.31) | 0.92 |
| 0–1 (n=264) | 187 (70.83) | 77 (29.16) | 1 | -- |
| 2–6 (n=36) | 30 (83.33) | 6 (16.66) | 2.05 (0.82, 5.14) | 0.12 |
| 1 Nil (123) | 63 (51.21) | 60 (48.78) | 1 | |
| 2 Subclinical & Clinical (177) | 154 (87.00) | 23 (12.99) | 6.37 (3.36, 11.19) | <0.001 |
| No (n=106) | 45 (42.45) | 61 (57.54) | 0.12 (0.06, 0.22) | -- |
| Yes (n=65) | 61 (93.84) | 4 (6.15) | 2.47 (0.80, 7.63) | <0.001 |
| Off & On (n=129) | 111 (86.04) | 18 (13.95) | 1 | 0.11 |
| Nil (n=268) | 189 (70.52) | 79 (29.47) | 0.34 (0.11, 1.01) | 0.05 |
| Present (n=32) | 28 (87.5) | 4 (12.5) | 1 | -- |
| Ovarian factors (n=101) | 71 (70.29) | 30 (29.70) | 0.77 (0.37 1.61) | 0.48 |
| Uterine factors (n=56) | 43 (76.78) | 13 (23.21) | 1.07 (0.45, 2.55) | 0.86 |
| Tubal factors & other (n=86) | 60 (69.76) | 26 (30.23) | 0.46 (0.35, 1.60) | 0.75 |
| Nil (n=57) | 43 (75.43) | 14 (24.56) | 1 | -- |
| Nil (n=134) | 80 (59.70) | 54 (40.29) | 1 | -- |
| Mild-mod oligospermia, oligoastheno spermia (n=67) | 48 (71.64) | 19 (28.35) | 1.70 (0.90–3.21) | 0.09 |
| Severe oligospermia, teratozoospermia, azoospermia, aspermia (n=99) | 89 (89.89) | 10 (10.10) | 6.00 (2.86–12.58) | <0.001 |
| No (n=83) | 17 (20.48) | 66 (79.51) | 1 | -- |
| Yes (n=217) | 83 (38.24) | 134 (61.75) | 0.41 (0.23–076) | 0.004 |
Univariate Logistic Regression
Multiple logistics regression analysis by backward stepwise likelihood ratio to identify predictors for ISS among men
| -- | -- | |
| 1 | -- | |
| 2.30 (1.59–3.34) | <0.000 | |
| -- | -- | |
| 1 | -- | |
| 6.68 (3.65–12.23) | <0.000 |
The various co-morbid psychiatric morbidity present in infertile men at their first visits
| 14 | 0 | |
| 23 | 0 | |
| 1 | 0 | |
| 5 | 0 | |
| 16 | 1 | |
| 95 | 22 | |
| 33 | 11 | |
| 187 | 34 | |