Table 1.
First author | Year published | Study location | Study period | Setting | Study population | Sampling strategy | Sample size (M/F) | Age Mean ± SD /Median (Range) | Assessment scales and scores | Data analysis | r/β | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
QoL | Scores Mean ± SD /Median (Range) | Resilience | Scores Mean ± SD /Median (Range) | |||||||||||
Jiang (18) | 2022 | China | Dec. 2019–Dec. 2020 | Hospital | Patients with RIF | – | 95 (0/95) | – | FertiQoL | 68.63 ± 2.63 | CD-RISC | 64.97 ± 11.25 | CA&MLR | −/0.459 |
Lian (10) | 2022 | China | May.2020–Apr. 2021 | Hospital | Patients with RIF | – | 193 (0/193) | – | FertiQoL | 59.0 (25.0–88.1) | CD-RISC | 28.0 (0.0–100.0) | CA&MLR | 0.60/0.33 |
Xie (31) | 2022 | China | May.2021–Oct. 2021 | Hospital | Patients with asthenospermia | Convenience | 198 (198/0) | – | FertiQoL | 64.73 ± 11.04 | CD-RISC | 66.41 ± 12.99 | CA&MLR | 0.479/0.426 |
Zhou (33) | 2022 | China | Jun. 2018–Mar. 2019 | Hospital | Infertile men | – | 335 (335/0) | 31 ± 12 | FertiQoL | 53.03 ± 17.05 | CD-RISC | 63.8 ± 14.8 | CA&MLR | 0.45/0.62 |
Mo (5) | 2021 | China | Sept.2019–Dec. 2020 | Hospital | Infertile women | – | 400 (0/400) | 30.44 ± 3.53 | FertiQoL | 68.31 ± 12.32 | CD-RISC-10 | 26.37 ± 6.64 | LCA | – |
Zhou (1) | 2023 | China | Oct. 2019–May. 2021 | Hospital | Infertile patients | Random | 566 (271/295) | – | FertiQoL | 59.74 ± 12.82 | CD-RISC | 59.28 ± 10.13 | CA&MLR | 0.473/0.582 |
Dong (6) | 2021 | China | Dec. 2019–Dec. 2020 | Hospital | Patients with PCOS | Convenience | 134 (0/134) | 25.46 ± 3.91 | WHOQOL-BREF | 2.56 ± 0.47 | CD-RISC | 62.40 ± 14.48 | CA&MM | 0.592/− |
Liu (13) | 2020 | China | Nov.2019–Feb. 2020 | Hospital | Patients with RIF | Convenience | 125 (0/125) | – | FertiQoL | 58.18 ± 17.87 | CD-RISC | 65.09 ± 15.14 | CA&MLR | 0.605/0.081 |
Zhou (14) | 2020 | China | Oct. 2018–Apr. 2019 | Hospital | Infertile patients | Convenience | 100 (25/75) | M:33.52 ± 5.30 F:33.57 ± 6.03 | FertiQoL | 65.72 ± 11.87 | CD-RISC | 59.82 ± 20.78 | CA | 0.434/− |
Liu (30) | 2019 | China | 2017–2018 | Hospital | Infertile women | Convenience | 548 (0/548) | 32.8 ± 4.42 | FertiQoL | 79.55 ± 16.78 | CD-RISC | 56.99 ± 14.87 | CA&MLR&MM | 0.285/0.208 |
Zhang (4) | 2019 | China | Apr. 2017–Jun. 2017 | Hospital | Infertile women | – | 116 (0/116) | 33.22 ± 5.42 | FertiQoL | 67.05 ± 14.88 | CD-RISC | 68.84 ± 13.25 | CA | 0.463/− |
Zhou (34) | 2019 | China | Apr. 2016–Apr. 2017 | Hospital | Infertile women | – | 576 (0/576) | 31.32 ± 5.71 | FertiQoL | 58.54 ± 13.04 | CD-RISC | 60.23 ± 15.20 | CA&MLR | 0.227/0.673 |
Zhang (35) | 2017 | China | Jun. 2016–Nov. 2016 | Hospital | Infertile women | Convenience | 310 (0/310) | 32.47 ± 4.99 | FertiQoL | 67.47 ± 11.93 | CD-RISC | 66.52 ± 14.32 | CA&MM | 0.434/− |
Wang (25) | 2022 | China | Oct. 2020–Jan. 2021 | Hospital | Infertile couples | Convenience | 856 (428/428) | M:32.42 ± 5.19 F:31.00 ± 1.24 | FertiQoL | M:67.36 ± 12.44 F:63.21 ± 12.18 | CD-RISC-10 | M:29.78 ± 7.31 F:26.89 ± 7.11 | CA&APIM | 0.499/0.284 a 0.373/− b 0.192/0.104 c 0.143/− d |
Bhamani (23) | 2022 | Pakistan | 2017–2018 9 months | Hospital | Infertile couples | Purposive | 668 (334/334) | M:35.53 ± 6.67 F:30.87 ± 6.12 | FertiQoL | M:81.66 ± 12.09 F:70.44 ± 15.69 | RS-14 | M:77.64 ± 8.56 F:76.19 ± 8.69 | CA | M&F: 0.161&0.149/− |
Vatanparast (12) | 2022 | Iran | Mar. 2017–Jun. 2017 | Hospital | Infertile couples | Convenience Simple random | 404 (202/202) | M:35.4 ± 5.1 F:30.9 ± 4.3 | QoLICQ | M:200.2 ± 18.44 F:169.54 ± 16.92 | CD-RISC | M:65.66 ± 15.45 F:61.64 ± 15.34 | CA&MLR | 0.13/0.04 |
Bhamani (26) | 2020 | Pakistan | – | Hospital | Infertile patients | Purposive | 668 (334/334) | M:35.53 ± 6.72 F:30.87 ± 6.12 | FertiQoL | M:81.58 ± 12.15 F:70.48 ± 15.69 | RS-14 | M:77.64 ± 8.56 F:76.19 ± 8.69 | MLR | M:−/−8.407 F:−/−8.606 |
Ha (8) | 2020 | South Korea | Aug. 2018–Oct. 2018 | Hospital Website | Infertile couples | Convenience | 300 (150/150) | M:35.81 F:34.03 | FertiQoL | M:76.89 ± 12.80 F:71.70 ± 11.41 | RS | M:120.36 ± 12.31 F:111.26 ± 16.61 | APIM | −/0.201 a −/0.713 b −/0.219 c −/0.351 d |
Li (16) | 2019 | China | Dec. 2017–Feb. 2018 | Hospital | Infertile women | – | 498 (0/498) | 32.19 ± 3.83 | FertiQoL | 64.54 ± 16.90 | CD-RISC | 59.53 ± 16.18 | CA&MLR | 0.535/0.302 |
Herrmann (27) | 2011 | Germany | Mar. 2003–Aug. 2003 | Hospital | Infertile couples | – | 398 (199/199) | M:35.6 F:33.0 | WHOQOL-BREF | – | RS | – | CA | M:0.28/− F:0.33/− |
Royani (29) | 2019 | Iran | Mar. 2015–Jun. 2015 | Hospital | Infertile couples | Convenience | 404 (202/202) | – | QoLICQ | 184 ± 23.36 | CD-RISC | 63.65 ± 15.51 | CA&MLR | 0.13/0.04 |
M, male; F, female; QoL, quality of life; Dec., December; CS, cross-sectional; RIF, repeated implantation failure; FertiQoL, fertility quality of life; CD-RISC, Connor–Davidson resilience scale; MLR, multiple linear regression; CA, correlation analysis; CD-RISC-10, 10-item Connor–Davidson resilience scale; LCA, latent class analysis; PCOS, polycystic ovary syndrome; WHOQOL-BREF, The World Health Organization Quality of Life-BREF; MM, mediation model; APIM, actor–partner interdependence model; RS-14, The 14-item Resilience Scale; RS, the resilience scale; QoLICQ, quality of life questionnaire for infertile couples.
FertiQoL and resilience of wives.
FertiQoL and resilience of husbands.
FertiQoL of husbands and resilience of wives.
FertiQoL of wives and resilience of husbands.