scholarly journals Depressive symptoms in pregnant women with high trait and state anxiety during pregnancy and postpartum

2019 ◽  
Vol Volume 11 ◽  
pp. 257-265 ◽  
Author(s):  
Daniela Chinchilla-Ochoa ◽  
Paola Barriguete Chávez-Peón ◽  
Blanca Eugenia Farfán-Labonne ◽  
Saúl Garza-Morales ◽  
Philippe Leff-Gelman ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Pregnant Women ◽  
State Anxiety ◽  
Pregnancy And Postpartum ◽  
Trait And State Anxiety ◽  
High Trait

Anxiety and the Allocation of Attention to Threat

1988 ◽  
Vol 40 (4) ◽  
pp. 653-670 ◽  
Author(s):  
Colin MacLeod ◽  
Andrew Mathews
Keyword(s):  
Attentional Bias ◽  
State Anxiety ◽  
Detection Technique ◽  
Probe Detection ◽  
Trait And State Anxiety ◽  
Attentional Avoidance ◽  
High Trait ◽  
Threat Stimuli

Using a probe detection technique we have recently demonstrated that anxious subjects consistently deploy attention towards threat-related stimuli, whereas non-anxious controls tend to move attention away from such material (MacLeod, Mathews, & Tata, 1986). The current study employed the same paradigm but attempted to distinguish the role of trait and state anxiety by testing high- and low-trait students when state anxiety was relatively low (12 weeks before a major examination) and again when it was relatively high (one week before this examination). High-trait subjects alone tended to shift attention towards generally threatening material on both test occasions. Results for examination-related stimuli were more complex. Increased proximity to the examination was associated with an increase in attentional bias towards such threat stimuli in high-trait subjects, but with increased attentional avoidance of such stimuli in low-trait subjects. It is suggested that the attentional response to currently relevant stress-related stimuli may be associated with neither trait nor state anxiety alone, but with an interactive function involving both these variables. These results are discussed in relation to existing models of emotion and cognition, and alternative interpretations of the findings are considered.

Accuracy in Nonverbal Communication as Affected by Trait and State Anxiety

1982 ◽  
Vol 55 (3) ◽  
pp. 747-753 ◽  
Author(s):  
K. A. Gard ◽  
G. C. Gard ◽  
D. Dossett ◽  
R. Turone
Keyword(s):  
Nonverbal Communication ◽  
Facial Expressions ◽  
State Anxiety ◽  
Junior College ◽  
Significant Deterioration ◽  
Facial Emotions ◽  
Situational Stress ◽  
Trait And State Anxiety ◽  
High Trait

66 students from a midwest junior college participated in an investigation of the effects of trait and state anxiety on accuracy in interpreting nonverbal communication. The students were asked in normal and stress-induced settings to decode facial emotions from a series of slides depicting 6 categories of facial expressions. Analysis indicated that low trait-anxious subjects were more accurate in interpreting nonverbal facial expressions in stressful situations, whereas high trait-anxious subjects were superior in non-stressful situations but showed a significant deterioration in accuracy when subjected to situational stress.

Estimation of connection of trait and state anxiety with temperament type of pregnant women

2017 ◽  
pp. 69-72
Author(s):  
V.G. Syusyuka ◽  
Keyword(s):  
Pregnant Women ◽  
Trait Anxiety ◽  
State Anxiety ◽  
Statistical Processing ◽  
Personality Questionnaire ◽  
Key Words Pregnancy ◽  
Psychoemotional State ◽  
Individual Reaction ◽  
Trait And State Anxiety ◽  
Psychological Features

Certain level of anxiety is required for effective adaptation to reality. According to the scale «neuroticism – emotional stability» anxiety is one of the measuring parameters of the person which reflect individual reaction on stress. The objective: estimate temperament types of pregnant women and their connection with trait and state anxiety. Patients and methods. Pregnant 392 women were examined in ІІ and ІІІ trimesters. Individual and psychological features of pregnant women and their psychoemotional state were studied using the complex of psychodiagnostic methods: Personality Questionnaire of Bekhterev University, Spielberger-Hanin scale, Eysenck EPQ questionnaire. Variation and statistical processing of results was performed with STATISTICA 6.0 analysis programs. Results. According to Eysenck Circle, among the main temperament types, conformity to sanguine type was found more frequently and was determined in 139 examined pregnant women: it made 35.46%. Choleric temperament was determined in 94 (23.98%), melancholic – in 88 (22.45%) pregnant women and phlegmatic type was determined in 71 (18.11%) pregnant women. During estimation of questioning results by means of Eysenck EPQ, taking into account anxiety level, there was found that index of neuroticism increased statistically and reliably (р<0.05) to the level of both trait anxiety (TA) and state anxiety (SA). Above mentioned results are confirmed by available positive correlation of neuroticism with SA level (r=+0.347; p<0.05) and more significant correlation with TA level (r=+0.666; p<0.05). Conclusions. According to results of performed research the statistically reliable (р > 0.05) difference was determined both under the TA level and SA level among pregnant women which temperament type corresponded to sanguine comparing to choleric and melancholic types; and also which corresponded to phlegmatic type comparing to choleric and melancholic. Comparing sanguine persons to phlegmatic ones and choleric persons to melancholic ones there was found statistically reliable (р>0.05) difference only under TA level. Key words: pregnancy, psychoemotional state, neuroticism, temperament type, anxiety.

Stress, depressive symptoms, and smoking cessation among pregnant women.

2000 ◽  
Vol 19 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Evette J. Ludman ◽  
Colleen M. McBride ◽  
Jennifer Clark Nelson ◽  
Susan J. Curry ◽  
Louis C. Grothaus ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Depressive Symptoms ◽  
Pregnant Women

Clinical Pharmacokinetic Studies in Pregnant Women and the Relevance of Pharmacometric Tools

2019 ◽  
Vol 25 (5) ◽  
pp. 483-495 ◽  
Author(s):  
André Dallmann ◽  
Paola Mian ◽  
Johannes Van den Anker ◽  
Karel Allegaert
Keyword(s):  
Pregnant Women ◽  
Clinical Pharmacokinetic ◽  
Individual Variability ◽  
Current Status ◽  
Pharmacokinetic Studies ◽  
Full Potential ◽  
Pbpk Models ◽  
Pregnancy And Postpartum ◽  
Population Pk ◽  
The Impact

Background: In clinical pharmacokinetic (PK) studies, pregnant women are significantly underrepresented because of ethical and legal reasons which lead to a paucity of information on potential PK changes in this population. As a consequence, pharmacometric tools became instrumental to explore and quantify the impact of PK changes during pregnancy. Methods: We explore and discuss the typical characteristics of population PK and physiologically based pharmacokinetic (PBPK) models with a specific focus on pregnancy and postpartum. Results: Population PK models enable the analysis of dense, sparse or unbalanced data to explore covariates in order to (partly) explain inter-individual variability (including pregnancy) and to individualize dosing. For population PK models, we subsequently used an illustrative approach with ketorolac data to highlight the relevance of enantiomer specific modeling for racemic drugs during pregnancy, while data on antibiotic prophylaxis (cefazolin) during surgery illustrate the specific characteristics of the fetal compartments in the presence of timeconcentration profiles. For PBPK models, an overview on the current status of reports and papers during pregnancy is followed by a PBPK cefuroxime model to illustrate the added benefit of PBPK in evaluating dosing regimens in pregnant women. Conclusions: Pharmacometric tools became very instrumental to improve perinatal pharmacology. However, to reach their full potential, multidisciplinary collaboration and structured efforts are needed to generate more information from already available datasets, to share data and models, and to stimulate cross talk between clinicians and pharmacometricians to generate specific observations (pathophysiology during pregnancy, breastfeeding) needed to further develop the field.

scholarly journals Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2281
Author(s):  
Fatemeh Sarhaddi ◽  
Iman Azimi ◽  
Sina Labbaf ◽  
Hannakaisa Niela-Vilén ◽  
Nikil Dutt ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Maternal Health ◽  
Pregnant Women ◽  
Health Monitoring ◽  
Quality Care ◽  
Well Being ◽  
Pregnancy And Postpartum ◽  
Comprehensive Framework ◽  
Specific Health

Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its impacts on the fetus. High-quality care during pregnancy is needed to identify possible complications early and ensure the mother’s and her unborn baby’s health and well-being. Different studies have thus far proposed maternal health monitoring systems. However, they are designed for a specific health problem or are limited to questionnaires and short-term data collection methods. Moreover, the requirements and challenges have not been evaluated in long-term studies. Maternal health necessitates a comprehensive framework enabling continuous monitoring of pregnant women. In this paper, we present an Internet-of-Things (IoT)-based system to provide ubiquitous maternal health monitoring during pregnancy and postpartum. The system consists of various data collectors to track the mother’s condition, including stress, sleep, and physical activity. We carried out the full system implementation and conducted a real human subject study on pregnant women in Southwestern Finland. We then evaluated the system’s feasibility, energy efficiency, and data reliability. Our results show that the implemented system is feasible in terms of system usage during nine months. We also indicate the smartwatch, used in our study, has acceptable energy efficiency in long-term monitoring and is able to collect reliable photoplethysmography data. Finally, we discuss the integration of the presented system with the current healthcare system.

scholarly journals Trajectories of Depressive Symptoms and Anxiety during Pregnancy and Associations with Pregnancy Stress

2021 ◽  
Vol 18 (5) ◽  
pp. 2733 ◽  
Author(s):  
Hyejung Lee ◽  
Ki-Eun Kim ◽  
Mi-Young Kim ◽  
Chang Gi Park ◽  
Jung Yeol Han ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Pregnant Women ◽  
Healthcare Providers ◽  
Sociodemographic Factors ◽  
Survey Questionnaire ◽  
Emotional Status ◽  
Factors Associated ◽  
Latent Trajectory ◽  
Logistic Regressions ◽  
Health Hospital

The purposes of this study were to investigate the trajectory groups of depressive symptoms and anxiety in women during pregnancy and to identify the factors associated with those groups. Participants were recruited from the outpatient clinic of a women’s health hospital in Seoul, Korea. Pregnant women (n = 136) completed a survey questionnaire that included questions on depressive symptoms, anxiety, and pregnancy stress; additionally, their saliva was tested for cortisol hormone levels three times during their pregnancies. The group-based trajectory modeling approach was used to identify latent trajectory groups. Ordinal logistic regressions were used to explore the association of latent trajectory groups with sociodemographic factors and pregnancy stress. Three trajectory groups of depressive symptoms were identified: low-stable (70%), moderate-stable (25%), and increased (5%). Four trajectory groups of anxiety were identified: very low-stable (10%), low-stable (67%), moderate-stable (18%), and high-stable (5%). The only factor associated with both the depressive symptoms and anxiety trajectory groups was pregnancy stress (p < 0.001). Most participants showed stable emotional status; however, some participants experienced higher levels of depressive symptoms and anxiety related to higher pregnancy stress. These pregnant women may need additional care from healthcare providers to promote their wellbeing during pregnancy.

scholarly journals The impact of lockdown policy on depressive symptoms among pregnant women in China: mediating effects of internet use and family support

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Yongjie Zhou ◽  
Ruoxi Wang ◽  
Lei Liu ◽  
Ting Ding ◽  
Lijuan Huo ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Pregnant Women ◽  
Family Support ◽  
Parental Support ◽  
Structural Equation ◽  
Internet Use ◽  
Western China ◽  
Maternal Depressive Symptoms ◽  
Cross Sectional ◽  
The Impact

Abstract Background Although more and more attention has been paid to the psychological consequences of the lockdown policy amongst pregnant women, the underlying mechanism linking the lockdown policy to maternal depression has not been studied in the context of China. This study aimed to explore the association between the lockdown policy and maternal depressive symptoms, and whether such association was mediated by internet use and/or family support. Methods This cross-sectional study used multi-stage sampling techniques in central and western China. Data were collected from 1266 pregnant women using a structtured questionnaire that measured internet use, family support, and depressive symptoms. The Patient Health Questionnaire-9 (PHQ-9) was used to measure depressive symptoms. Internet use was measured by length of usage and varierity of purpose for internet use. Family support was measureed by spousal support and parental support. The structural equation modelling was employed to conduct mediation analysis to test the specificity of the hypothetical paths. Results Overall, 527 respondents (41.63%) presented depressive symptoms. The lockdown policy was negatively associated with depressive symptoms in pregnant women (β = − 0.925, 95% CI = −1.510, − 0.360). The impact of the lockdown policy on depressive symptoms was partially mediated by internet use (β = 1.589, 95% CI = 0.730, 2.807) and family support (β = − 0.162, 95% CI = − 0.341, − 0.017), accounting for 42.67% of the total effect. Conclusions The lockdown policy was generally associated with fewer depressive symptoms in pregnant women. The lockdown policy increased maternal depressive symptoms through increased internet use, but decreased maternal depressive symptoms through enhanced family support. The findings suggest that the psychological consequence of the lockdown policy may vary across different populations, and warrant the need to take into consideration the features of subgroups.

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