| Literature DB >> 35418892 |
Nan Tang1, Yingying Jia1, Qing Zhao1, Huihui Liu1, Junzheng Li2, Hongchen Zhang1, Lin Han1, Chaoji Huangfu2.
Abstract
Background: The infertility prevalence of married couples in China is increasing gradually. The dyadic coping level and its influencing factors of infertile women in China are poorly reported. The relationship between dyadic coping and the family cohesion and adaptability in infertile women was investigated.Entities:
Keywords: dyadic coping; family cohesion and adaptability; infertile women; multiple linear regression analysis; path analysis
Year: 2022 PMID: 35418892 PMCID: PMC8995970 DOI: 10.3389/fpsyt.2022.830039
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Univariate analysis of dyadic coping score of infertile women (n = 482).
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| Age (years) | ≤ 30 | 234 | 140.45 ± 22.94 | 31.02 | 0.163 | |
| 31~35 | 148 | 131.27 ± 22.31 | ||||
| 36~40 | 83 | 111.89 ± 26.62 | ||||
| >40 | 17 | 138.82 ± 21.95 | ||||
| Nationality | Han | 463 | 132.54 ± 25.28 | 0.25 | 0.002 | 0.862 |
| Hui | 16 | 133.75 ± 33.27 | ||||
| Tibetan | 2 | 146.00 ± 9.90 | ||||
| Tu | 1 | 143.00 ± 0.00 | ||||
| Education level | Primary school | 16 | 136.56 ± 18.85 | 25.03 | 0.173 | |
| Junior school | 77 | 112.23 ± 26.56 | ||||
| Senior School | 79 | 123.84 ± 23.98 | ||||
| College | 310 | 139.74 ± 22.30 | ||||
| Residence place | Rural areas | 108 | 119.55 ± 25.46 | 28.86 | 0.108 | |
| Towns | 178 | 131.10 ± 24.47 | ||||
| Urban areas | 196 | 141.29 ± 23.05 | ||||
| Occupation | Farmer | 64 | 118.53 ± 26.87 | 8.75 | 0.068 | |
| Teacher or staff | 72 | 141.36 ± 19.84 | ||||
| Public servant or manager | 69 | 136.04 ± 22.04 | ||||
| Medical worker | 45 | 139.40 ± 21.12 | ||||
| Other | 232 | 131.53 ± 26.74 | ||||
| Per capita monthly income of the family (yuan) | ≤ 3,000 | 121 | 120.27 ± 26.28 | 24.69 | 0.134 | |
| 3,000~5,000 | 202 | 131.18 ± 22.66 | ||||
| 5,001~10,000 | 111 | 141.26 ± 22.85 | ||||
| ≥10,000 | 48 | 150.17 ± 23.97 | ||||
| Religious belief | No | 472 | 132.58 ± 25.59 | 6.391 | 0.907 | 0.012 |
| Yes | 10 | 150.30 ± 10.40 | ||||
| Years of marriage (years) | ≤ 3 | 189 | 142.47 ± 22.29 | 31.77 | 0.166 | |
| 4~6 | 142 | 134.80 ± 21.66 | ||||
| 7~10 | 90 | 121.56 ± 24.79 | ||||
| >10 | 61 | 113.66 ± 27.79 | ||||
| Whether the patient is the only child | Yes | 81 | 139.35 ± 24.29 | 0.044 | 0.323 | 0.833 |
| No | 401 | 131.30 ± 25.54 | ||||
| Whether the husband is the only child | Yes | 119 | 137.78 ± 25.30 | 0.009 | 0.268 | 0.926 |
| No | 363 | 130.98 ± 25.36 | ||||
| Relationship with family members | Very bad | 55 | 111.20 ± 27.22 | 57.38 | 0.325 | |
| Bad | 25 | 104.04 ± 25.61 | ||||
| Normal | 63 | 116.89 ± 21.77 | ||||
| Good | 173 | 134.56 ± 16.10 | ||||
| Very good | 166 | 148.07 ± 22.19 | ||||
| Duration of infertility (years) | ≤ 1 | 204 | 135.87 ± 22.08 | 7.313 | 0.044 | |
| 2~5 | 244 | 131.01 ± 27.06 | ||||
| 6~10 | 30 | 131.17 ± 27.03 | ||||
| >10 | 4 | 80.50 ± 15.00 | ||||
| Have you ever been treated | Yes | 315 | 132.27 ± 26.51 | 1.60 | 0.044 | 0.207 |
| No | 167 | 133.38 ± 23.50 | ||||
| Have you ever took | Yes | 212 | 133.95 ± 24.35 | 0.452 | 0.091 | 0.502 |
| No | 270 | 131.64 ± 26.35 | ||||
| Pregnancy experience | Yes | 174 | 131.25 ± 25.29 | 0.05 | 0.091 | 0.832 |
| No | 308 | 133.57 ± 25.62 | ||||
| Times of abortion | 0 | 308 | 133.67 ± 25.88 | 3.905 | 0.016 | 0.021 |
| 1~2 | 163 | 132.13 ± 23.10 | ||||
| 3~4 | 11 | 112.09 ± 39.21 | ||||
| Sources of fertility stress | Parents-in-law | 83 | 125.12 ± 28.09 | 6.23 | 0.050 | |
| Parents | 33 | 144.70 ± 23.53 | ||||
| Spouse | 38 | 135.29 ± 20.10 | ||||
| Oneself | 257 | 130.85 ± 26.37 | ||||
| Classmates, friends, colleagues, neighbors | 71 | 140.99 ± 17.59 | ||||
| Cause of illness | Oviduct | 163 | 139.33 ± 22.05 | 6.471 | 0.064 | |
| Ovary | 51 | 126.55 ± 31.13 | ||||
| Uterus/cervix | 14 | 110.71 ± 30.84 | ||||
| Genetic/immune diseases | 10 | 143.40 ± 19.25 | ||||
| Other | 102 | 132.66 ± 25.49 | ||||
Used partial η.
Used Cohen's d as effect size.
The scores of different dimensions of infertile women perception (n = 482).
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| Stress communicated by oneself | 14.11 ± 3.70 | Delegated dyadic coping of the partner | 7.27 ± 1.81 |
| Stress communication of the partner | 14.11 ± 3.70 | Negative dyadic coping by oneself | 14.99 ± 3.95 |
| Supportive dyadic coping by oneself | 18.04 ± 4.39 | Negative dyadic coping by partner | 14.76 ± 3.92 |
| Supportive dyadic coping of the partner | 16.98 ± 4.86 | Common dyadic coping | 17.98 ± 4.66 |
| Delegated dyadic coping by oneself | 7.29 ± 1.76 | Evaluation of dyadic coping | 7.19 ± 1.96 |
Correlation between dyadic coping and family adaptability and cohesion.
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| Adaptability | 0.619 | 0.619 | 0.666 | 0.679 | 0.677 | 0.631 | −0.009 | 0.105 |
| Cohesion | 0.568 | 0.568 | 0.671 | 0.663 | 0.676 | 0.633 | 0.090 | 0.156 |
p < 0.05.
p < 0.01.
Positive copings include spouse stress communication, self stress communication, self supportive coping, spouse supportive coping, self delegated coping and spouse delegated coping; Negative copings include self negative coping and spouse negative coping.
Figure 1Correlation analysis of the dyadic coping score and other factors. (A) Correlation analysis of dyadic coping and age; (B) correlation analysis of dyadic coping and family adaptability and cohesion; (C) correlation analysis of dyadic coping and family cohesion; (D) correlation analysis of dyadic coping and family adaptability.
Multiple linear regression analysis of patients' dyadic coping score (n = 482).
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| Constant | 35.363 | 8.881 | - | 3.982 | <0.01 |
| Religious belief | 10.745 | 5.431 | 0.060 | 1.978 | 0.048 |
| Relationship with family members | 1.743 | 0.867 | 0.088 | 2.010 | 0.045 |
| Times of abortion | −5.750 | 1.509 | −0.120 | −3.810 | <0.01 |
| Adaptability and cohesion | 0.835 | 0.053 | 0.686 | 15.895 | <0.01 |
R.
Figure 2Final model for family adaptability and cohesion, relationship with family members, religious beliefs, number of abortions, and dyadic coping. e1, e2, and e3 represent residual errors for the family cohesion, dyadic coping, and family adaptability, respectively.
Model fitting index.
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| Fit index | 0.678 | 0.000 | 1.000 | 0.997 | 0.998 | 1.000 | 0.992 |
| Fit standard | <3.00 | <0.08 | >0.90 | >0.90 | >0.90 | >0.90 | >0.90 |