Factors influencing marital status in assisted reproduction couples and its impact on pregnancy outcomes
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摘要:
目的 探讨辅助生殖夫妇婚姻状况的影响因素,分析其对妊娠结局的影响,为提高辅助生殖技术(ART)的成功率提供参考。 方法 选择安徽医科大学第一附属医院生殖中心2020年3—8月进入试管周期的402对夫妻为研究对象,采用一般资料调查法、Locke-Wollance婚姻调适问卷(MAT)、社会支持评定量表(SSRS)进行调查,分析婚姻状况的影响因素,并随访妊娠结局,探讨辅助生殖夫妇婚姻对妊娠的影响。 结果 402对夫妻中,男性的婚姻得分为(117.34±20.40)分,高于女性的(109.80±21.90)分(P<0.01)。单因素分析显示,女方的月收入、在职状态、不孕年限、不孕原因、ART压力源以及与长辈同住差异有统计学意义(均P<0.05);男方的年龄、文化程度、在职状态、月收入、不孕年限和不孕原因差异有统计学意义(均P<0.05)。双方的婚姻状况与社会支持均呈正相关关系(r=0.290、0.250,均P<0.01),多元回归分析显示,不孕年限、不孕原因,ART压力源、与长辈同住及社会支持得分是女性婚姻状况的影响因素(均P < 0.05),年龄、文化程度、不孕年限及社会支持得分是男性婚姻状况的影响因素(均P<0.05),女性婚姻失调组的临床妊娠率(57.5%)低于婚姻良好组(68.4%),差异有统计学意义(P<0.05)。 结论 ART夫妇婚姻状况的影响因素不同,女性婚姻状况低于男性且对临床妊娠有影响,临床工作中需根据这些危险因素将夫妻作为一体进行心理疏导,提高辅助生殖的成功率。 Abstract:Objective To study the factors influencing the marital status of assisted reproductive technology (ART) couples and its impact on pregnancy outcomes, in order to provide a reference for improving the success rate of ART. Methods A total of 402 couples who entered the in vitro fertilization (IVF)cycle from March 2020 to August 2020 at the Reproductive Center of the First Affiliated Hospital of Anhui Medical University were selected as the research objects. General data, Locke Wollance marriage adjustment test (MAT) and social support rating scale (SSRS) were used to analyze the influencing factors of marital status and subsequent pregnancy outcomes, and to explore the influence of marriage on pregnancy in ART couples. Results Among the 402 couples, men ' s marriage score (117.34±20.40) was significantly higher than women ' s (109.80±21.90, P < 0.01). Univariate analysis showed that there were significant differences in women ' s monthly income, working status during ART, infertility duration, causes of infertility, ART stressors and living with elders (all P < 0.05). There were statistically significant differences in the male partner ' s age, education level, employment status, monthly income, infertility duration and causes of infertility (all P < 0.05). There were positive correlation between both marital status and social support (r=0.290, 0.250, both P < 0.01). The results of multiple regression analysis showed that infertility duration, cause of infertility, ART stressors, living with elders, and social support are risk factors for women ' s marital status (all P < 0.05). Age, culture level, duration of infertility and social support are risk factors for male marital status (all P < 0.05). The clinical pregnancy rate of the female marriage disorder group (57.5%) was lower than that of the good marriage group (68.4%), and the difference was statistically significant (P < 0.05). Conclusion The marital status of ART couples is affected by different factors, and the marital status of women is lower than that of men and has an impact on clinical pregnancy. In clinical work, couples should be treated as a whole for psychological counseling according to these risk factors in order to improve the success rate of assisted reproduction. -
Key words:
- Assisted reproduction /
- Marital status /
- Influencing factor /
- Pregnancy outcomes
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表 1 ART夫妇婚姻状况
Table 1. Marital status of ART couples
性别 例数 婚姻状况得分(x±s,分) 婚姻状况[例(%)] 失调 良好 男性 402 117.34±20.40 79(19.65) 323(80.35) 女性 402 109.80±21.90 127(31.59) 275(68.41) 统计量 5.053a 15.037b P值 < 0.001 < 0.001 注:a为t值, b为χ2值。 表 2 ART夫妇婚姻状况的单因素分析
Table 2. Univariate analysis of marital status of ART couples
项目 女方 统计量 P值 男方 统计量 P值 例数 婚姻状况得分 例数 婚姻状况得分 年龄(岁) <30 147 110.67±23.18 0.280a 0.756 108 120.83±20.62 4.045a 0.018 30~34 188 108.94±21.03 179 117.88±18.96 ≥35 67 110.33±23.63 115 113.23±21.82 文化程度 小学及以下 16 103.88±18.76 1.545a 0.188 7 120.14±13.95 4.750a 0.001 初中至高中 191 108.32±20.36 185 112.83±21.48 大专 88 108.97±22.99 92 119.71±21.09 本科 89 113.85±23.84 95 121.71±16.47 硕士及以上 18 114.78±23.45 23 125.35±18.19 在职状态 在职 163 112.82±22.87 3.266a 0.039 329 118.16±19.85 2.683a 0.070 离职 109 106.02±20.99 28 118.32±22.50 未就业 130 109.80±21.90 45 110.73±22.25 月收入(元) <5 000 295 108.87±21.36 3.173a 0.043 133 113.64±20.32 4.106a 0.017 5 000~10 000 88 110.33±23.12 201 118.28±20.97 >10 000 19 121.79±21.47 68 121.82±17.77 居住地 本市 170 110.12±21.98 0.035a 0.966 164 119.32±19.98 1.328a 0.266 本省外市 211 109.53±22.12 219 116.06±20.41 外省 21 109.90±19.80 19 115.05±23.47 婚姻史 初婚 338 109.60±22.37 -0.421b 0.674 360 117.05±20.19 -0.852b 0.395 再婚 64 110.86±19.32 42 119.88±22.45 不孕年限(年) 1~3 233 112.24±21.98 3.595a 0.028 237 120.86±19.69 9.265a <0.001 4~5 100 107.05±23.07 103 113.27±20.98 ≥6 69 105.54±18.82 62 110.66±19.46 有无子女 有 88 111.08±19.77 0.619b 0.536 78 114.29±22.44 -1.472b 0.142 无 314 109.44±22.47 324 118.08±19.85 不孕原因 男方原因 65 114.05±22.49 3.650a 0.013 85 121.88±17.32 2.175a 0.090 女方原因 192 106.08±21.91 156 116.24±19.98 双方原因 72 112.90±20.66 66 113.97±21.87 不明原因 73 112.74±21.35 95 117.43±22.14 治疗时间(年) ≤1 134 110.10±22.70 1.053a 0.369 120 117.56±20.05 0.423a 0.736 2~3 215 110.79±21.94 231 117.78±20.44 4~5 35 104.14±19.30 30 116.33±21.85 ≥6 18 106.72±19.63 21 112.71±20.73 治疗费用(万) ≤3 28 109.14±25.80 1.634a 0.196 30 119.03±18.59 1.762a 0.173 4~5 208 111.67±21.64 198 119.01±19.90 ≥6 166 107.57±21.43 174 115.16±21.15 ART压力源 自身 243 110.72±21.54 2.642a 0.049 226 118.20±19.85 0.827a 0.480 配偶 36 100.08±21.65 38 112.58±17.11 父母 31 111.52±21.85 35 117.49±23.60 其他 92 110.61±22.35 103 117.17±21.57 与长辈同住 否 201 112.32±21.24 2.322b 0.021 220 117.61±20.22 0.287b 0.774 是 201 107.28±22.31 182 117.02±20.67 注:a为F值,b为t值。 表 3 女方变量赋值方法
Table 3. Female variable assignment method
变量 赋值方法 因变量 婚姻状况得分,以实际值赋值 自变量 在职状态 在职=(1, 0, 0), 离职=(0, 1, 0), 未就业=(0, 0, 1) 月收入 <5 000元=1, 5 000~10 000元=2, >10 000元=3 不孕年限 1~3年=1, 4~5年=2, ≥6年=3 不孕原因 男方原因=(1, 0, 0, 0),女方原因=(0, 1, 0, 0), 双方原因=(0, 0, 1, 0), 不明原因=(0, 0, 0, 1) ART压力源 自身=(1, 0, 0, 0), 配偶=(0, 1, 0, 0), 父母=(0, 0, 1, 0), 其他=(0, 0, 0, 1) 与长辈同住 否=1, 是=2 社会支持 以实际值赋值 表 4 男方变量赋值方法
Table 4. Male variable assignment method
变量 赋值方法 因变量 婚姻状况得分,以实际值赋值 自变量 年龄 <30岁=1, 30~34岁=2, ≥35岁=3 文化程度 小学及以下=1, 初中至高中=2, 大专=3, 本科=4, 硕士及以上=5 月收入 <5 000元=1, 5 000~10 000元=2, >10 000元=3 不孕年限 1~3年=1, 4~5年=2, ≥6年=3 社会支持得分 以实际值赋值 表 5 女方婚姻状况的多元线性回归分析
Table 5. Multiple linear regression analysis of female marital status
变量 B SE β t值 P值 不孕年限 -3.680 1.361 -0.129 -2.703 0.007 不孕原因(双方原因) 8.429 2.826 0.148 2.983 0.003 ART压力源(配偶) -9.611 3.682 -0.125 -2.610 0.009 与长辈同住 -5.403 2.057 -0.124 -2.627 0.009 社会支持得分 1.076 0.172 0.298 6.259 <0.001 表 6 男方婚姻状况的多元线性回归分析
Table 6. Multiple linear regression analysis of male marital status
变量 B SE β t值 P值 年龄 -4.371 1.363 -0.160 -3.206 0.001 文化程度 3.517 1.053 0.170 3.340 0.001 不孕年限 -2.999 1.393 -0.110 -2.154 0.032 社会支持得分 0.738 0.153 0.226 4.813 <0.001 表 7 女方婚姻状况对妊娠结局的影响[例(%)]
Table 7. Effects of female marital status on pregnancy outcomes
婚姻状况 例数 生化妊娠 临床妊娠 活产 婚姻失调 127 82(64.6) 73(57.5) 62(48.8) 婚姻良好 275 203(73.8) 188(68.4) 149(54.2) χ2值 3.604 4.519 1.002 P值 0.058 0.034 0.317 表 8 男方婚姻状况对妊娠结局的影响[例(%)]
Table 8. Effects of male marital status on pregnancy outcomes
婚姻状况 例数 生化妊娠 临床妊娠 活产 婚姻失调 79 57(72.2) 55(69.6) 39(49.4) 婚姻良好 323 228(70.6) 206(63.8) 172(53.3) χ2值 0.075 0.952 0.384 P值 0.784 0.329 0.536 -
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