| Literature DB >> 32434583 |
Qianqian Ni1, Guizhi Cheng1, An Chen2, Seppo Heinonen3.
Abstract
BACKGROUND: The mental health of pregnant women, particularly those with elevated risks, has been an issue of global concern. Thus far, few studies have addressed the mental health of pregnant women with threatened preterm labour (TPL). This study investigated the prevalence of self-perceived burden (SPB) among Chinese women hospitalized due to TPL during pregnancy and early postpartum depressive disorders, exploring the effect of SPB and other potential risk factors on the early signs of postpartum depressive disorders.Entities:
Keywords: Early postpartum depressive disorders; Self-perceived burden; Threatened preterm labour
Year: 2020 PMID: 32434583 PMCID: PMC7240988 DOI: 10.1186/s12888-020-02667-0
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Fig. 1Flow chart of study recruitment process. Figure 1 Legends: In total, there were 214 pregnant women diagnosed with TPL and receiving prenatal care at the hospital. Among these eligible women, we had 9 cases of foetal death or spontaneous abortions (gestational age < 28 weeks [46]), 10 women were transferred to the intensive care unit during the study, 31 women were unwilling to participate in the study after delivery, and 14 women did not provide valid answers (e.g., all the answers were the same, or missing data constituted over 20% of the total items); these were excluded. As a result, a total of 150 pregnant women were included in the study. The flow chart of recruitment process is displayed in Fig.1
Socio-demographic characteristics and clinical information of participants (N = 150)
| Characteristic | Number participants (N) | Percentage (%) |
|---|---|---|
| Parity | ||
| Unipara | 62 | 41.3 |
| Multipara | 88 | 58.7 |
| Age (years) | 30.9a | 5.9b |
| Occupation | ||
| Unemployed | 70 | 46.7 |
| Employed | 80 | 53.3 |
| Education | ||
| Senior high school or below | 80 | 53.3 |
| Junior college or Bachelor degree | 64 | 42.7 |
| Master or doctorate | 6 | 4.0 |
| Residence | ||
| Rural area | 44 | 29.3 |
| Urban | 106 | 70.7 |
| The history of scarred uterus | ||
| No | 102 | 68 |
| Yes | 48 | 32 |
| Number of termination | 0c | 6d |
| Assisted reproductive technologies | ||
| No | 132 | 88 |
| Yes | 18 | 12 |
| Delivery mode | ||
| Natural labour | 48 | 32 |
| Caesarean delivery | 102 | 68 |
| Length of hospital stay (day) | 23.12a | 16.30b |
| Premature delivery | ||
| No | 26 | 17.3 |
| Yes | 124 | 82.7 |
| Social support (MSPSS) | ||
| Family support | 24.73a | 2.99b |
| Friend support | 21.99a | 4.03b |
| Significant other support | 22.60a | 3.65b |
a = Mean, b = Standard deviation;
c = Max d = Min
Sample distribution regarding postpartum depressive symptoms and self-perceived burden (N = 150)
| SPBS | |||
|---|---|---|---|
| < 20 | > = 20 | ||
| EPDS | < 10 | 34 | 34 |
| > = 10 | 20 | 62 | |
Relationship between postpartum depressive symptoms and SPB (N = 150)
| Variables | Correlation coefficient (r) | |
|---|---|---|
| Depressive symptoms (EPDS) | 1 | 1.000 |
| Self-perceived burden (SPBS) | ||
| Total scores | 0.50 | < 0.001 |
| Physical aspects | 0.47 | < 0.001 |
| Emotional aspects | 0.51 | < 0.001 |
| Economic aspects | −0.05 | 0.546 |
*p < 0.05; **p < 0.001
Assignments of the variables in the multiple logistic regression of postpartum depressive symptoms among participants (N = 150)
| Variables | Assignments |
|---|---|
| Postpartum depressive symptoms (Y1) | 0 = Not depressive,1 = Depressive |
| Parity(X1) | 0 = Nulliparous,1 = Multiparous |
| Age (X2) | Actual measured value |
| Occupation (X3) | 0 = Employed,1 = Unemployed |
| Education (X4) | 1 = Senior high school or below,2 = Junior college or Bachelor degree,3 = Master or doctorate |
| Residence(X5) | 0 = Rural area,1 = Urban |
| The history of scarred uterus(X6) | 0 = Yes,1 = No |
| Number of termination(X7) | Actual measured value |
| Assisted reproductive technologies(X8) | 0 = No,1 = Yes |
| Length of hospital stay(X9) | Actual measured value |
| Delivery mode | 0 = Natural labour,1 = Caesarean delivery |
| Premature delivery(X10) | 0 = No,1 = Yes |
| Social support | |
| Family support(X11) | Actual measured value |
| Friend support(X12) | Actual measured value |
| Significant other support(X13) | Actual measured value |
| Self-perceived burden | |
| Physical aspects(X14) | Actual measured value |
| Emotional aspects(X15) | Actual measured value |
| Economic aspects(X16) | Actual measured value |
Yn = The dependent variable, Xn = The independent variables
Exploring influential factors for postpartum depressive symptoms (N = 150)
| Predictors | B | S.E. | Wald | OR | 95%CI | collinearity diagnostics | ||
|---|---|---|---|---|---|---|---|---|
| upper | Lower | |||||||
| Parity | 0.42 | 0.72 | 0.34 | 0.558 | 1.53 | 0.37 | 6.29 | 2.70 |
| Age (years) | 0.13 | 0.06 | 5.20 | 0.023* | 1.14 | 1.02 | 1.27 | 1.85 |
| Occupation | 1.25 | 0.55 | 5.14 | 0.023* | 3.48 | 1.18 | 10.20 | 1.48 |
| Education | 0.23 | 0.45 | 0.26 | 0.612 | 1.25 | 0.52 | 3.01 | 1.48 |
| Residence | 0.06 | 0.61 | 0.01 | 0.925 | 1.06 | 0.32 | 3.50 | 1.48 |
| The history of scarred uterus | 2.07 | 0.85 | 5.89 | 0.015* | 7.96 | 1.49 | 42.48 | 2.53 |
| Number of termination | 0.68 | 0.39 | 3.08 | 0.079 | 1.97 | 0.92 | 4.18 | 1.71 |
| Assisted reproductive technologies | 0.36 | 0.82 | 0.19 | 0.662 | 1.43 | 0.29 | 7.17 | 1.64 |
| Delivery mode | 1.82 | 0.65 | 7.79 | 0.005* | 6.19 | 1.72 | 22.30 | 1.49 |
| Length of hospital stay (day) | 0.00 | 0.02 | 0.06 | 0.812 | 1.00 | 0.97 | 1.03 | 1.74 |
| Premature delivery | −0.68 | 0.68 | 0.99 | 0.32 | 0.51 | 0.13 | 1.93 | 1.31 |
| Social support | ||||||||
| Family support | −0.51 | 0.15 | 10.78 | 0.001* | 0.60 | 0.45 | 0.82 | 2.39 |
| Friend support | − 0.09 | 0.10 | 0.79 | 0.373 | 0.92 | 0.76 | 1.11 | 2.38 |
| Significant other support | 0.13 | 0.11 | 1.23 | 0.267 | 1.13 | 0.91 | 1.42 | 2.72 |
| Self-perceived burden | ||||||||
| Physical aspects | −0.09 | 0.18 | 0.23 | 0.629 | 0.92 | 0.64 | 1.31 | 3.63 |
| Emotional aspects | 0.35 | 0.13 | 7.51 | 0.006* | 1.42 | 1.11 | 1.83 | 3.24 |
| Economic aspects | −0.47 | 0.29 | 2.66 | 0.103 | 0.63 | 0.36 | 1.10 | 1.29 |
| Constant | 4.42 | 3.62 | 1.49 | 0.222 | 83.15 | |||
*p < 0.05; **p < 0.001
a.VIF Variance Inflation Factor