2022
DOI: 10.3389/fpubh.2022.880339
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Preconception Mental Health, Socioeconomic Status, and Pregnancy Outcomes in Primiparous Women

Abstract: Background:One in four women of childbearing age has some degree of mental disorders and are, therefore, prone to both pregnancy complications and adverse health outcomes in their offspring. We aimed to evaluate the impact of preconception severe mental disorders on pregnancy outcomes in primiparous women.MethodsThe study cohort was composed of 6,189 Finnish primiparous women without previously diagnosed diabetes, who delivered between 2009 and 2015, living in the city of Vantaa, Finland. Women were classified… Show more

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Cited by 5 publications
(2 citation statements)
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“…Considering the impact of the number of explanatory variables on the speed and computational efficiency of Shapley decomposition 42 , this study included statistically significant variables from Tobit regression analyses conducted in 2019 and 2022 for Shapley decomposition analysis. As shown in Table 5 , regardless of the poverty line, the contribution rate of annual per capita household income was the highest (45.65%, 47.92%, 34.11%, 37.12%), followed by expenditures on social interactions (34.53%, 33.70%, 32.25%, 31.85%), respondents' age (4.25%, 4.03%, 12.11%, 11.69%), and household loans (7.12%, 6.62%, 3.43%, 3.36%), with other variables contributing less.…”
Section: Resultsmentioning
confidence: 99%
“…Considering the impact of the number of explanatory variables on the speed and computational efficiency of Shapley decomposition 42 , this study included statistically significant variables from Tobit regression analyses conducted in 2019 and 2022 for Shapley decomposition analysis. As shown in Table 5 , regardless of the poverty line, the contribution rate of annual per capita household income was the highest (45.65%, 47.92%, 34.11%, 37.12%), followed by expenditures on social interactions (34.53%, 33.70%, 32.25%, 31.85%), respondents' age (4.25%, 4.03%, 12.11%, 11.69%), and household loans (7.12%, 6.62%, 3.43%, 3.36%), with other variables contributing less.…”
Section: Resultsmentioning
confidence: 99%
“…43,44 As previously mentioned, these patients are at increased risk for obesity 45 which itself increases maternal risks due to cardiovascular diseases, thromboembolism, hypertension, and stroke. [46][47][48] Our study was unable to account for obesity as body mass index was not consistently available in the TriNetX ® database. In addition, PPH associated outcomes may be impacted by health determinants, stigma, access to care, and patient trust with the health system.…”
Section: Discussionmentioning
confidence: 99%