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The relationship among preconception depression, anxiety, and social support of the reproductive-aged women in China

Overview of attention for article published in Archives of Women's Mental Health, February 2018
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Title
The relationship among preconception depression, anxiety, and social support of the reproductive-aged women in China
Published in
Archives of Women's Mental Health, February 2018
DOI 10.1007/s00737-018-0817-2
Pubmed ID
Authors

Jihong Xu, Ping Chen, Xu Ma

Abstract

The reproductive-aged women have to face physiological and psychological challenges as long as they plan to conceive. However, most previous studies focused on depression and anxiety during pregnancy. This study aimed to investigate the association among preconception depression, anxiety, and social support of the Chinese reproductive-aged women. Nine-hundred five reproductive-aged women who planned to conceive for the first or second time in the next three months were recruited through the Maternity and Child Healthcare Hospital and Obstetrics and Gynecology Hospital from three provinces in China. Social Support Rating Scale, Self-Rating Depression Scale, and Self-Rating Anxiety Scale were used in this study. The hierarchical regression model was employed to examine the prediction effect of the three sub-dimensions of social support on preconception depression and anxiety. Of the reproductive-aged women, 25.86 and 13.04% had preconception depression and anxiety symptoms. Nearly all reproductive-aged women had moderate and high social support before pregnancy. The significant differences in depression and anxiety among different levels of occupation and monthly income were found. For depression and anxiety, objective support, support availability, and subjective support simultaneously entered into the model still could significantly explain 5.9 and 6.7% of variations after controlling for the demographic variables, respectively. According to this study, there were significant correlations among preconception depression, anxiety, and social support. And objective support, support availability, and subjective support could negatively predict preconception depression and anxiety. Attaching importance to the preconception mental health and social support can provide effective scientific support for helping women fully understand and effectively use the social resources, and scientifically prepare for pregnancy.

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 19%
Student > Ph. D. Student 7 11%
Student > Bachelor 5 8%
Other 4 6%
Researcher 4 6%
Other 5 8%
Unknown 26 41%
Readers by discipline Count As %
Medicine and Dentistry 9 14%
Psychology 8 13%
Nursing and Health Professions 6 10%
Social Sciences 6 10%
Mathematics 1 2%
Other 5 8%
Unknown 28 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 February 2018.
All research outputs
#13,345,489
of 23,023,224 outputs
Outputs from Archives of Women's Mental Health
#609
of 931 outputs
Outputs of similar age
#217,659
of 446,257 outputs
Outputs of similar age from Archives of Women's Mental Health
#17
of 27 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 931 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 446,257 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 50% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.