| Title |
Path model of antenatal stress and depressive symptoms among Chinese primipara in late pregnancy
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, July 2016
|
| DOI | 10.1186/s12884-016-0972-2 |
| Pubmed ID | |
| Authors |
Yingtao Li, Yingchun Zeng, Wei Zhu, Ying Cui, Jie Li |
| Abstract |
Antenatal maternal mental health problems have numerous consequences for the well-being of both mother and child. This study aimed to test and construct a pertinent model of antenatal depressive symptoms within the conceptual framework of a stress process model. This study utilized a cross-sectional study design. participants were adult women (18 years or older) having a healthy pregnancy, in their third trimester (the mean weeks gestation was 34.71). depressive and anxiety symptoms were measured by Zung's Self-rating Depressive and Anxiety Scale, stress was measured by Pregnancy-related Pressure Scale, social support and coping strategies were measured by Social Support Rating Scale and Simplified Coping Style Questionnaire, respectively. path analysis was applied to examine the hypothesized causal paths between study variables. A total of 292 subjects were enrolled. The final testing model showed good fit, with normed χ (2) = 32.317, p = 0.061, CFI = 0.961, TLI = 0.917, IFI = 0.964, NFI = 0.900, RMSEA = 0.042. This path model supported the proposed model within the theoretical framework of the stress process model. Pregnancy-related stress, financial strain and active coping have both direct and indirect effects on depressive symptoms. Psychological preparedness for delivery, social support and anxiety levels have direct effects on antenatal depressive symptoms. Good preparedness for delivery could reduce depressive symptoms, while higher levels of anxiety could significantly increase depressive symptoms. Additionally, there were indirect effects of miscarriage history, irregular menstruation, partner relationship and passive coping with depressive symptoms. The empirical support from this study has enriched theories on the determinants of depressive symptoms among Chinese primipara, and could facilitate the formulation of appropriate interventions for reducing antenatal depressive symptoms, and enhancing the mental health of pregnant women. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| South Africa | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | <1% |
| Unknown | 137 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 22% |
| Student > Ph. D. Student | 18 | 13% |
| Student > Bachelor | 11 | 8% |
| Lecturer | 9 | 7% |
| Researcher | 6 | 4% |
| Other | 23 | 17% |
| Unknown | 41 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 27 | 20% |
| Psychology | 26 | 19% |
| Medicine and Dentistry | 22 | 16% |
| Social Sciences | 6 | 4% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 9 | 7% |
| Unknown | 45 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 July 2016.
All research outputs
#6,919,944
of 22,881,154 outputs
Outputs from BMC Pregnancy and Childbirth
#1,911
of 4,208 outputs
Outputs of similar age
#117,612
of 364,404 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#47
of 93 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,208 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,404 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.