Smoking Patterns and Anxiety Factors Among Women Expressing Perinatal Depression

Anastasopoulou, Sotiria V.; Bonotis, Konstantinos; Hatzoglou, Chrissi; Dafopoulos, Konstantinos; Gourgoulianis, Konstantinos

doi:10.1089/whr.2021.0111

Cited by 7 publications

(5 citation statements)

References 25 publications

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“…In the present study, pregnant women's perinatal depression was associated with a lower educational level and a worse economic status, whereas women's age, nationality, and marital and employment status were not considerably related to depression during pregnancy. In agreement with our results, several previous studies have also shown that pregnant women's perinatal depression is related to a lower educational level and a worse economic status [73][74][75][76]. However, some studies have demonstrated conflicting results, reporting a higher or a lower prevalence of perinatal depression of pregnant women [77].…”

Section: Discussionsupporting

confidence: 92%

Association of Pregnant Women’s Perinatal Depression with Sociodemographic, Anthropometric and Lifestyle Factors and Perinatal and Postnatal Outcomes: A Cross-Sectional Study

Jacovides,

Papadopoulou,

Pavlidou

et al. 2024

JCM

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Background: In recent decades, the incidence of depression has gradually increased in the general population globally. Depression is also common during gestation and could result in detrimental gestational complications for both the mother and the fetus. The survey presented aimed to evaluate whether pregnant women’s perinatal depression could be associated with socio-demographic, anthropometry and lifestyle factors, and perinatal and postnatal outcomes. Methods: This is a cross-sectional survey conducted on 5314 pregnant women. Socio-demographic and lifestyle factors were recorded by relevant questionnaires via face-to-face interviews. Anthropometric parameters were measured by qualified personnel. Perinatal depressive symptomatology status was evaluated by Beck’s Depression Inventory (BDI-II) questionnaire. Results: Depressive symptoms throughout gestation were found in 35.1% of the enrolled women. Perinatal depression was significantly associated with lower educational and economic level, pre-pregnancy regular smoking and reduced levels of Mediterranean diet adherence levels, a higher prevalence of gestational diabetes and preterm birth, as well as a higher incidence of delivering by caesarean section and abnormal childbirth weight. Perinatal depression was also significantly associated with a higher prevalence of maternal postpartum depression and lower prevalence of exclusive breastfeeding practices, as well as with a higher incidence of childhood asthma. Conclusions: Pregnant women’s perinatal depression appears to be associated with various socio-demographic, anthropometry, and lifestyle characteristics and with a higher frequency of several adverse pregnancy complications. The present findings emphasize the importance of pregnant women’s perinatal mental health, highlighting the need to develop and apply public strategies and policies for psychological counseling and support of future mothers to minimize probable risk factors that may trigger perinatal depression. Novel well-organized, follow-up surveys of enhanced validity are highly recommended to establish more definitive conclusions.

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Section: Discussionsupporting

confidence: 92%

Association of Pregnant Women’s Perinatal Depression with Sociodemographic, Anthropometric and Lifestyle Factors and Perinatal and Postnatal Outcomes: A Cross-Sectional Study

Jacovides,

Papadopoulou,

Pavlidou

et al. 2024

JCM

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“…). As priorly reported (77,78,81), tobacco use (mean RR=1.09, sd=0.01, Figure 3c), unplanned pregnancy (RR=1.03, sd=0.01, Figure 3d), and being single (RR=1.02, sd=0.01, Figure 3e)…”

Section: Figure 3bsupporting

confidence: 67%

Predicting prenatal depression and assessing model bias using machine learning models

Huang,

Alvernaz,

Kim

et al. 2023

Preprint

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Perinatal depression (PND) is one of the most common medical complications during pregnancy and postpartum period, affecting 10-20% of pregnant individuals. Black and Latina women have higher rates of PND, yet they are less likely to be diagnosed and receive treatment. Machine learning (ML) models based on Electronic Medical Records (EMRs) have been effective in predicting postpartum depression in middle-class White women but have rarely included sufficient proportions of racial and ethnic minorities, which contributed to biases in ML models for minority women. Our goal is to determine whether ML models could serve to predict depression in early pregnancy in racial/ethnic minority women by leveraging EMR data. We extracted EMRs from a hospital in a large urban city that mostly served low-income Black and Hispanic women (N=5,875) in the U.S. Depressive symptom severity was assessed from a self-reported questionnaire, PHQ-9. We investigated multiple ML classifiers, used Shapley Additive Explanations (SHAP) for model interpretation, and determined model prediction bias with two metrics, Disparate Impact, and Equal Opportunity Difference. While ML model (Elastic Net) performance was low (ROCAUC=0.67), we identified well-known factors associated with PND, such as unplanned pregnancy and being single, as well as underexplored factors, such as self-report pain levels, lower levels of prenatal vitamin supplement intake, asthma, carrying a male fetus, and lower platelet levels blood. Our findings showed that despite being based on a sample mostly composed of 75% low-income minority women (54% Black and 27% Latina), the model performance was lower for these communities. In conclusion, ML models based on EMRs could moderately predict depression

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“…In this context, a targeted approach should be taken to build awareness of the harmfulness of hookah smoking during pregnancy. Pregnancy has been regarded as a “teachable moment” 43 and smoking cessation is hard, even during pregnancy 33 . A hookah can be seen as a potential alternative and vehicle for smoking cessation during pregnancy, but special caution needs to be adopted in preventing such switching between other tobacco products and hookah smoking.…”

Section: Discussionmentioning

confidence: 99%

“…Having an infant with a low birth weight was positively associated with PPD symptoms and similar findings were reported in a previous study. 33 Although a healthy newborn sparks a joyous occasion, a newborn in need of medical attention can lead the mother to PPD symptoms. 34 Room-sharing with an infant also increased the odds of having PPD symptoms in mothers.…”

Section: Discussionmentioning

confidence: 99%

Association between history of hookah use and symptoms of postpartum depression: A population‐based study

Haile,

Karim,

Murton

et al. 2023

Intl J Gynecology & Obste

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ObjectiveAlthough several biologic, psychosocial, and behavioral factors have been linked to postpartum depressive symptoms, studies examining the association between non‐cigarette tobacco products and symptoms of postpartum depression are currently lacking. This study examined the association between hookah use and postpartum depressive symptoms.MethodsA cross‐sectional study was conducted using data from the US Centers for Disease Control and Prevention's Pregnancy Risk Assessment Monitoring System 2016–2020. Self‐reported data on hookah use in the last 2 years and maternal mental health were captured using a structured questionnaire. Descriptive and inferential statistics were performed.ResultsThe final study sample consisted of 106 894 participants. Approximately 8.2% of the participants reported postpartum depressive symptoms and 4.1% reported hookah use in the past 2 years. Compared with those without postpartum depressive symptoms, participants with postpartum depressive symptoms were more likely to be hookah users (5.5% vs 4.0%, P < 0.001). After adjustment for confounders, the odds of having postpartum depressive symptoms were significantly higher among participants who used a hookah in the past 2 years compared with non‐users; adjusted odds ratio (95% confidence interval) 1.20 (1.03–1.40); P = 0.022.ConclusionIn a large, population‐based sample of US women, hookah use in the past 2 years significantly increased the odds of having postpartum depressive symptoms, independent of potential confounders. This finding underscores the need for healthcare providers to communicate effectively about the health risks of hookah use.

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Smoking Patterns and Anxiety Factors Among Women Expressing Perinatal Depression

Cited by 7 publications

References 25 publications

Association of Pregnant Women’s Perinatal Depression with Sociodemographic, Anthropometric and Lifestyle Factors and Perinatal and Postnatal Outcomes: A Cross-Sectional Study

Association of Pregnant Women’s Perinatal Depression with Sociodemographic, Anthropometric and Lifestyle Factors and Perinatal and Postnatal Outcomes: A Cross-Sectional Study

Predicting prenatal depression and assessing model bias using machine learning models

Association between history of hookah use and symptoms of postpartum depression: A population‐based study

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