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Depression, stress, anxiety and their predictors in Iranian pregnant women during the outbreak of COVID-19

Overview of attention for article published in BMC Psychology, September 2020
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Title
Depression, stress, anxiety and their predictors in Iranian pregnant women during the outbreak of COVID-19
Published in
BMC Psychology, September 2020
DOI 10.1186/s40359-020-00464-8
Pubmed ID
Authors

Fatemeh Effati-Daryani, Somayeh Zarei, Azam Mohammadi, Elnaz Hemmati, Sakineh Ghasemi Yngyknd, Mojgan Mirghafourvand

Abstract

Pregnancy as a sensitive period of a woman's life can be affected by various psychological factors that can have adverse effects on the woman, her fetus and future baby. Since COVID-19 is a new phenomenon with limited information available, it may have adverse psychological effects on pregnant women. Therefore, this study was conducted to determine the status of depression, stress, anxiety and their predictors in Iranian pregnant women during the outbreak of COVID-19. This descriptive-analytical cross-sectional study was performed on 205 pregnant women covered by Tabriz health centers in Iran. The sampling method used was cluster sampling. The data collection tool was the socio-demographic characteristics questionnaire and the DASS-21 (Depression, Anxiety and Stress Scale-21), which were completed online by pregnant women. The general linear model was used to determine the predictive factors of depression, anxiety and stress. The mean (SD) score of depression, stress, and anxiety were 3.91 (3.9), 6.22 (4.25), and 3.79 (3.39), respectively; the score range of 0 to 21. Depression, stress, and anxiety symptoms were observed in 32.7, 32.7, and 43.9% of the participants, respectively, with varying degrees from mild to very severe. Based on the adjusted general linear model, variables of education level, spouse's job and marital life satisfaction were the predictors of depressive symptoms. Variables of spouse's education level, spouse's support, marital life satisfaction and the number of pregnancies were the predictive factors of anxiety symptoms and the variables of spouse's education level, household income sufficiency, spouse's support and marital life satisfaction were predictors of stress symptoms. Considering the role of marital life satisfaction, high level of spouse's education and income in reducing symptoms of stress, anxiety, and depression in pregnant women in critical situations such as the prevalence of COVID-19, it seems that using strategies to promote marital life satisfaction and socio-economic status can play an effective role in controlling anxiety and reducing stress and depression in pregnant women.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 426 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 426 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 58 14%
Student > Master 39 9%
Lecturer 31 7%
Researcher 28 7%
Student > Ph. D. Student 17 4%
Other 61 14%
Unknown 192 45%
Readers by discipline Count As %
Nursing and Health Professions 93 22%
Medicine and Dentistry 52 12%
Psychology 25 6%
Pharmacology, Toxicology and Pharmaceutical Science 9 2%
Business, Management and Accounting 7 2%
Other 45 11%
Unknown 195 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 September 2020.
All research outputs
#18,088,660
of 23,243,271 outputs
Outputs from BMC Psychology
#675
of 811 outputs
Outputs of similar age
#291,173
of 408,523 outputs
Outputs of similar age from BMC Psychology
#22
of 26 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 811 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one is in the 13th percentile – i.e., 13% 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 408,523 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.