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Article

Stress and Psychopathology Reduction in Pregnant Women through Online Cognitive Behavioural Therapy during COVID-19: A Feasibility Study

by
Jose A. Puertas-Gonzalez
1,2,
Carolina Mariño-Narvaez
1,
Borja Romero-Gonzalez
3,* and
Maria Isabel Peralta-Ramirez
1,2
1
Mind, Brain and Behaviour Research Center (CIMCYC), 18071 Granada, Spain
2
Personality, Assessment and Psychological Treatment Department, Faculty of Psychology, University of Granada, 18071 Granada, Spain
3
Psychology Department, Faculty of Education, Campus Duques de Soria, University of Valladolid, 42004 Soria, Spain
*
Author to whom correspondence should be addressed.
Behav. Sci. 2021, 11(7), 100; https://0-doi-org.brum.beds.ac.uk/10.3390/bs11070100
Submission received: 18 May 2021 / Revised: 23 June 2021 / Accepted: 6 July 2021 / Published: 9 July 2021
(This article belongs to the Special Issue Psychological Impact of COVID-19 Worldwide Pandemic on Pregnancy and the Offspring)
Versions Notes

Abstract

:
Background: The global pandemic has affected the psychological health of the population, including pregnant women. Due to the difficulty of offering conventional therapies to reduce stress in this population, studies are needed to show the effect of online therapies. Therefore, the objective was to test the effect of online cognitive behavioural therapy in pregnant women during the pandemic on the main variables of stress and psychopathology. Methods: The sample consisted of 16 pregnant women who participated in a weekly cognitive behavioural intervention for 8 weeks. Prenatal concerns, general stress, stress vulnerability, resilience and psychopathology were assessed. Results: The results show a reduction in prenatal concerns, perceived stress, stress vulnerability and psychopathology, as well as an increase in resilience. Conclusions: Online cognitive behavioural intervention may be effective in pregnant women, so it is important to conduct a randomised controlled trial to certify these findings.

1. Introduction

The appearance of an outbreak of a new pneumonia disease caused by coronavirus (COVID-19) in December 2019 has led to drastic changes in the population’s way of life, carrying new challenges to be faced, as well as changes in social relations and personal liberties [1].
In this way, a population that has been particularly affected are pregnant women, who have presented an increase in their stress levels, depression and/or anxiety during pregnancy [2,3]. This increase can have serious consequences on maternal and infant health, as years of studies have demonstrated the close relationship between stress and the development of depression in pregnancy and postpartum depression, increased risk of preeclampsia and hypertension, increased risk of miscarriage, need for instrumental deliveries, low foetal weight and premature birth [4,5,6]. In addition to these negative consequences, it was recently shown that women who have gave birth during the pandemic also experienced a low satisfaction with their delivery, higher levels of stress during childbirth and increased symptoms of postpartum depression [7]. For that reason, different psychological interventions have emerged with the aim of reducing the levels of stress in pregnant women, such as mindfulness-based programs (MBPs) [8,9], relaxation techniques such as progressive muscle relaxation and guided imagery [10] and even sport-based interventions such as yoga [11,12]. However, evidence-based medicine highlights cognitive behavioural therapy (CBT) as a treatment to reduce a wide range of psychopathology and stress [13]. CBT aims to modify distorted cognitive thoughts and interpretations of reality that lead to disturbing emotions and feelings [14,15]. CBT for stress coping has shown great results in reducing stress in pregnant women [16], or in reducing anxiety or depression levels [17]. Thus, promoting such interventions during pregnancy can help reduce the negative effects of stress and improve maternal and infant health. Thus, promoting such interventions during pregnancy can help reduce the negative effects of stress and improve maternal and infant health.
The pandemic has been a major barrier to psychological treatments, as they must now be carried out online in many cases. However, some studies highlight the applicability of this type of treatment, since video calls also allow for face-to-face interaction [18]. In addition, the patient’s self-efficacy may increase, as success is less likely to be attributed solely to the work of the therapist [19].
Therefore, it is necessary to test the feasibility of CBT for stress management in times of pandemic, conducted telematically, in order to verify whether a subsequent randomised controlled trial is appropriate. Thus, the aim of this study was to test the effect of online cognitive behavioural stress management therapy (o-CBT) in pregnant women, applied during the COVID-19 pandemic, on the main variables of psychological stress and psychopathology.

2. Materials and Methods

2.1. Participants

This study included a total of 16 pregnant women. The inclusion criteria were: pregnant women with a good command of spoken and written Spanish and with an internet connection to follow the sessions. Exclusion criteria included having suffered from a psychological illness in the past year or at present, or suffering from a current medical illness. Given that some research recommends 12 participants as a minimum for pilot studies [20], and taking into account our study objectives, design and intervention, research suggests that a sample size of 16 participants is reasonable [21,22].
All women who agreed to participate read an information sheet and gave their consent through an online questionnaire platform. The protocol of this study was reviewed and approved by the Biomedical Ethics Research Committee of the Junta de Andalucía (internal code 0401-M1-17). Moreover, this study followed the guidelines of the Helsinki Declaration (AMM, 2008) and the Good Clinical Practice Directive (Directive 2005/28/EC) of the European Union.

2.2. Instruments

First of all, participants were asked to answer some questions regarding sociodemographic and obstetric information. After that, the following instruments were used for the psychological evaluation of the participants:
-
The Symptom Checklist-90-Revised (SCL-90-R) [23,24]. This is a 90-item scale with 5 points, ranging from 0 (never) to 4 (extremely). This instrument is used to evaluate nine different measurements: somatization, obsession–compulsion, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation and psychoticism. There are also seven additional items on the scale distributed among 3 global indexes of distress: the GSI, which measures overall psychological distress; the PSDI, which is used to calculate the intensity of symptoms; and Positive Symptom Total, used to measure the number of self-reported symptoms. The scores are converted to percentiles (0–100) according to the author’s instructions. Percentiles ≥ 75 represent clinical symptoms in any of the subscales of this instrument. The nine dimensions show a reasonable reliability, with a Cronbach’s alpha for internal consistency of 0.81.
-
Pregnancy Distress Questionnaire (PDQ) [25,26]. This is a 12-item scale that measures pregnancy-specific stress related to maternal concerns about pregnancy, such as medical problems, labour and delivery, physical signs and symptoms, bodily changes and the baby’s health. A 5-point Likert-type scale is used to collect responses where 4 = very much and 0 = not at all. The Cronbach’s alpha reliability coefficient is 0.71.
-
Perceived Stress Scale (PSS) [27,28]. The PSS collects data on people’s perceptions of general stress over the previous month. It is made up of 14 elements that are rated on a 5-point Likert scale. (0 = never, 1 = almost never, 2 = once in a while, 3 = often, 4 = very often). Scores range from 0 to 56 (higher scores represent higher levels of stress). The Spanish Cronbach’s reliability alpha coefficient is 0.81.
-
Stress Vulnerability Inventory (IVE) [29]. It consists of 22 items that assess a person’s proclivity to be affected by perceived stress. It has a Yes/No answer format. Items receiving an affirmative answer add 1 point. The range of scores on the scale is 0 to 22, with higher scores corresponding to greater vulnerability to stress. The scale is highly reliable, with a Cronbach’s alpha of 0.87.
-
Connor Davidson Resilience Scale (CD-RISC) [30,31]. It reflects the ability to cope with stressful situations such as changes, personal problems, illness, pressure, failure and feelings of pain. The CD-RISC-10 consists of 10 items, and a Likert scale with 5 response options ranging from 0 (“almost never”) to 4 (“almost always”). It has a Cronbach’s alpha reliability coefficient of 0.86.

2.3. Procedure

The participants were recruited through the dissemination in social networks of news published in different newspapers and media for two weeks. These news items included the contact information of a researcher from the team, so that interested pregnant women could get in touch. All women who wished to participate read the study information sheet and gave their consent through an online questionnaire platform. The objective was to carry out two groups of 8–10 people each. Finally, 25 participants were interested in participating, of which 6 did not meet the inclusion criteria. The remaining 19 took part in two pilot groups to test the efficacy and feasibility of the online version of the treatment, of which 16 completed the intervention.
Participants attended 8 consecutive weekly o-CBT sessions of 1.5 to 2 h duration with two trained psychologists with a master’s degree of 900 h of training in psychological treatment. o-CBT was performed through Google Meet. In addition, the psychologists had conducted the same intervention on several occasions in face-to-face format prior to the pandemic. A Google Forms link was administered, through which participants completed the pre-treatment assessment, composed of the previously described assessment instruments.
The intervention was adapted from a previous treatment program [32], whose efficacy has been demonstrated in pregnant women [16]. The program consists of 8 sessions with the following content: (1) psychoeducation: what stress is, its characteristics, how to identify stressors, how to react to them and what are its effects; (2) deactivation strategies (thematic imagination and diaphragmatic breathing); (3) cognitive restructuring: cognitive distortions; (4) cognitive restructuring: irrational beliefs; (5) alternative ways to control your thoughts: self-instructional training and time management; (6) training in social skills: assertiveness, fundamental assertive rights, saying no and requesting a change of behaviour; (7) relationship between anger and stress: emotional self-control; and (8) optimism and sense of humour summary.
Each intervention followed the same structure and the same guidelines to assume the standardisation of the contents. At the beginning of the session, participants received an email with the link to connect to the virtual session, the documents needed to work during the session, the behavioural self-report and the tasks to work on at home that week related to the topic of the session. In order to maximize the benefits of the online intervention, it was recommended at the beginning of each session to activate the camera and to use headphones and microphone. In addition, all participants were encouraged to participate in the sessions with different actions, such as: talking about their experiences, expressing difficulties about the tasks between sessions, role-playing, etc.
At the conclusion of treatment, the evaluation instruments described above were administered again.

2.4. Data Analysis

First, a descriptive and frequency analysis was carried out to check the distribution of the sample in the main sociodemographic and obstetric history variables.
Secondly, the Shapiro–Wilk test was used to test the normality of the data. In the case of the SCL-90-R scores, since they did not present a normal distribution, the Wilcoxon W test was performed for two related samples (pre and post). The rest of the scores (EEP, PDQ, IVE, CDRISC) met the assumption of normality and therefore a Student’s t test was performed for two related samples (pre and post).
Finally, to calculate the effect size of the statistically significant changes of the parametric variables that were analysed with the Student’s t test, Cohen’s d was used (small effect size > 0.20, medium effect size > 0.50 and large effect size > 0.80). The calculation is based on Borenstein’s formulas [33] for calculating the effect size in a t-analysis for dependent samples. In the case of non-parametric variables, the formula proposed by Cohen [34] (r = Z/√N) was used, where [Z] is the absolute value of the Z score and [N] is the total number of observations. This effect size comprises values from 0 to 1, for which Cohen (1988) recommended the following interpretations: r > 0.10 small effect size, r > 0.30 medium effect size and r > 0.50 large effect size.
Analyses were performed using the Statistical Package for the Social Sciences 26.0 for Windows (SPSS, Armonk, NY, USA).

3. Results

3.1. Sample Description

A total of 16 pregnant women took part in the pilot study, with a mean age of 36.63 years (SD = 3.36) and who were between 6 and 31 weeks of pregnancy (M = 20.50 weeks gestation; SD = 7.81). All of them were Spanish and were married or cohabiting with their partner (n = 16; 100%). In addition, 87.5% (n = 14) had a university degree. The rest of the variables can be consulted in Table 1.

3.2. Changes in Psychological Variables at the End of Therapy in Pregnant Women

First, Student’s t-analyses for dependent samples showed statistically significant differences in: pregnancy-specific stress (t = 4.446; p ≤ 0.001) with a medium effect size (d = 0.671); perceived stress (t = 3.243; p ≤ 0.005) with a high effect size (d = 0.909); stress vulnerability (t = 3.982; p ≤ 0.001) with a low effect size (d = 0.348); and resilience (t = −2.643; p ≤ 0.01) with a medium effect size (d = 0.608). As can be seen in Table 2, after finalizing the treatment women showed decreased scores in these variables.
Regarding the non-parametric analyses performed for the scores in the different dimensions of the SCL-90-R, statistically significant differences were found in obsessions and compulsions (Z = −2.556; p ≤ 0.01) with a high effect size (r = 0.638); anxiety (Z = −3.201; p ≤ 0.01) with a high effect size (r = 0.80); phobic anxiety (Z = −2.003; p ≤ 0.05) with a medium effect size (r = 0.501); psychoticism (Z = −2.202; p ≤ 0.05) with a medium effect size (r = 0. 550); and in the general scales of global severity index (Z = −2.030; p ≤ 0.05), positive symptoms (Z = −2.207; p ≤ 0.05) and positive distress index (Z = −2.336; p ≤ 0.05). In addition, it should be noted that the study population showed clinical scores (greater than 70) on the SCL-90-R subscales of obsessions and compulsions, depression, anxiety and psychoticism prior to treatment. These data and the means for each measure can be found in Table 2. As can be seen, after treatment, not only was there a decrease in the psychopathological symptom scores in these women, but also in depression, anxiety and psychoticism, in which they went from clinical scores to normal scores.

4. Discussion

The aim of this study was to verify the effect of o-CBT on stress management in pregnant women. In order to achieve it, a 2 month online intervention (eight sessions) was implemented with a total of 16 women.
Firstly, it was proven that women who completed the intervention had a significant reduction in their stress levels, both in perceived stress and pregnancy-specific stress. The main component of o-CBT is stress management; thus, the online version of the therapy supports the results found by previous authors in a randomised controlled trial [16]. Additionally, this reduction could have direct repercussions on maternal and foetal health, since pregnancy-specific stress has been considered as a powerful predictor of negative outcomes [35].
Additionally, there was a reduction in the vulnerability to stress and an increase in resilience scores. These results are highly relevant, taking into account that not only the problematic factors, such as stress levels, reduce, but it goes one step forward, increasing resilience, which could also carry improvements in coping mechanisms, self-esteem and general wellbeing [36,37].
In addition, there was found to be a decrease in various psychopathological symptoms in the women who participated in the therapy. On one hand, obsession and compulsion levels and phobic anxiety decreased; these are characteristic symptoms related to the actual pandemic situation. The need to maintain extreme hygiene to avoid contagion, or the fear of vertical transmission of the virus to the foetus, could underlie the presence of this symptomatology [38,39]. Reducing these levels is a matter of extreme importance, since obsessions and phobias, maintained during pregnancy, can shunt into intense fears that disable the pregnant woman, occasionally resulting in a phobia towards childbirth, which in addition generates low satisfaction towards it, a higher chance of suffering a traumatic childbirth and even the need to require an instrumentalised procedure [6,40,41].
Furthermore, anxiety is highly related to the stress suffered and the phobic anxiety previously described. Around 8% of pregnant women report suffering symptoms of anxiety [42], which are related to the development of severe psychopathological disorders after childbirth, such as postpartum depression, a higher chance of a preterm birth and internalizing problems on the offspring [4,43].
Finally, psychoticism symptoms also reduced after therapy. Other authors have stated that this symptomatology increases in pregnant women, probably due to an evolutionary aspect of pregnancy, where the mother considers external agents as a threat [44]. During pandemics such as the one we are enduring, this symptomatology can increase, because in order to avoid contagion there is an aversion to meet new people or maintain a social life [45]. o-CBT offers the possibility of increasing social support without having to be in direct contact with their peers, which could be related to the diminishment of this symptom. Additionally, on average, the participants started the therapy in the second trimester and finished in the first weeks of the third trimester, where the psychological state of pregnant women typically worsens [4]. As it has been verified, o-CBT palliated this psychological worsening in the sample, helping to improve the psychological health during the third trimester of pregnancy.
Despite the promising findings reported, this study presents a limitation; since this is an applicability study, and does not have a control group, the changes found cannot be related exclusively to the therapy’s efficacy. Moreover, despite following previous research recommendations for sample size [20,21,22], the sample size is quite small, which could affect statistical power. Apart from that, it would be interesting to include working-class women in the future study, to see how stress is reduced in this sample. Therefore, it is of great relevance to continue research of the efficacy of o-CBT, implementing at least one control group. It would also be interesting to include an additional control group centred on social support, in order to guarantee that the changes found are due to the abilities acquired through the therapy and not just the supportive environment where pregnant woman share experiences with their peers.
Preliminary results show an unquestionable improvement in the psychological health of women who participated in the therapy, which is in accordance with the results of a face-to-face version [16]. It is important to raise the fact that as the pregnant women had no psychological illnesses in our sample, this may be a step towards implementing this therapy as a health-promoting measure. Nowadays, these interventions are especially necessary during pregnancy as a means to promote health, in order to avoid the loneliness and abandonment that is produced by a situation such as the pandemic we are living in and to provide the pregnant women with strategies that help them palliate the negative psychological effects caused by the pandemic.

Author Contributions

Conceptualization, J.A.P.-G.; methodology, J.A.P.-G. and C.M.-N.; data curation, B.R.-G. and C.M.-N.; resources, M.I.P.-R.; writing—original draft preparation, J.A.P.-G. and B.R.-G.; writing—review and editing, M.I.P.-R.; supervision, M.I.P.-R. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Frontier Project “A-CTS-229-UGR18” of the Ministry of Economy, Knowledge, Business and University of the Junta de Andalucía, co-supported by funds from the European Regional Development Fund (ERDF)—a way to build Europe. Additionally, Mr. Jose Antonio Puertas-Gonzalez has been awarded with an individual research grant (Spanish Ministry of Science, Innovation and Universities, FPU program, reference number 18/00617).

Institutional Review Board Statement

This study followed the guidelines of the Helsinki Declaration (AMM, 2008) and the Good Clinical Practice Directive (Directive 2005/28/EC) of the European Union. In addition, the protocol of this study has been reviewed and approved by the Biomedical Ethics Research Committee of the Junta de Andalucía (internal code 0401-M1-17).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data are available on request to the corresponding author.

Acknowledgments

We would like to thank all the people who are struggling with the virus, and all the pregnant women who participated in the study. This study is part of the doctoral thesis of Jose A. Puertas-Gonzalez.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Anderson, R.M.; Heesterbeek, H.; Klinkenberg, D.; Hollingsworth, T.D. How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet 2020, 395, 931–934. [Google Scholar] [CrossRef]
  2. Romero-Gonzalez, B.; Puertas-Gonzalez, J.A.; Mariño-Narvaez, C.; Peralta-Ramirez, M.I. Variables del confinamiento por COVID-19 predictoras de sintomatología ansiosa y depresiva en mujeres embarazadas. Med. Clin. 2020, 156, 172–176. [Google Scholar] [CrossRef] [PubMed]
  3. Puertas-Gonzalez, J.A.; Mariño-Narvaez, C.; Peralta-Ramirez, M.I.; Romero-Gonzalez, B. The psychological impact of the COVID-19 pandemic on pregnant pswomen. Psychiatry Res. 2021, 301, 113978. [Google Scholar] [CrossRef] [PubMed]
  4. Caparros-Gonzalez, R.A.; Romero-Gonzalez, B.; Strivens-Vilchez, H.; Gonzalez-Perez, R.; Martinez-Augustin, O.; Peralta-Ramirez, M.I. Hair cortisol levels, psychological stress and psychopathological symptoms as predictors of postpartum depression. PLoS ONE 2017, 12, e0182817. [Google Scholar] [CrossRef]
  5. Christian, L.M. Physiological reactivity to psychological stress in human pregnancy: Current knowledge and future directions. Prog. Neurobiol. 2012, 99, 106–116. [Google Scholar] [CrossRef] [Green Version]
  6. Romero-Gonzalez, B.; Caparros-Gonzalez, R.A.; Gonzalez-Perez, R.; Coca-Arco, S.; Peralta-Ramirez, M.I. Hair cortisol levels, psychological stress and psychopathological symptoms prior to instrumental deliveries. Midwifery 2019, 77, 45–52. [Google Scholar] [CrossRef] [PubMed]
  7. Mariño-Narvaez, C.; Puertas-Gonzalez, J.A.; Romero-Gonzalez, B.; Peralta-Ramirez, M.I. Giving birth during the COVID-19 pandemic: The impact on birth satisfaction and postpartum depression. Int. J. Gynecol. Obstet. 2020, 153, 83–88. [Google Scholar] [CrossRef] [PubMed]
  8. Pan, W.L.; Gau, M.L.; Lee, T.Y.; Jou, H.J.; Liu, C.Y.; Wen, T.K. Mindfulness-based programme on the psychological health of pregnant women. Women Birth 2019, 32, e102–e109. [Google Scholar] [CrossRef]
  9. Shi, Z.; MacBeth, A. The Effectiveness of Mindfulness-Based Interventions on Maternal Perinatal Mental Health Outcomes: A Systematic Review. Mindfulness 2017, 8, 823–847. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Nasiri, S.; Akbari, H.; Tagharrobi, L.; Tabatabaee, A.S. The effect of progressive muscle relaxation and guided imagery on stress, anxiety, and depression of pregnant women referred to health centers. J. Educ. Health Promot. 2018, 7, 41. [Google Scholar] [CrossRef] [PubMed]
  11. Chen, P.J.; Yang, L.; Chou, C.C.; Li, C.C.; Chang, Y.C.; Liaw, J.J. Effects of prenatal yoga on women’s stress and immune function across pregnancy: A randomized controlled trial. Complement. Ther. Med. 2017, 31, 109–117. [Google Scholar] [CrossRef]
  12. Kusaka, M.; Matsuzaki, M.; Shiraishi, M.; Haruna, M. Immediate stress reduction effects of yoga during pregnancy: One group pre post test. Women Birth 2016, 29, e82–e88. [Google Scholar] [CrossRef] [PubMed]
  13. Butler, A.C.; Chapman, J.E.; Forman, E.M.; Beck, A.T. The empirical status of cognitive-behavioral therapy: A review of meta-analyses. Clin. Psychol. Rev. 2006, 26, 17–31. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Beck, A.T.; Rush, A.J.; Shaw, B.F.; Emery, G. Cognitive Therapy of Depression; The Guilford Press: New York, NY, USA, 1979. [Google Scholar]
  15. Ellis, A.; Bernad, M. Reason and Emotion in Psychotherapy: Revised and Updated; Birch Lane: New York, NY, USA, 1994. [Google Scholar]
  16. Romero-Gonzalez, B.; Puertas-Gonzalez, J.A.; Strivens-Vilchez, H.; Gonzalez-Perez, R.; Peralta-Ramirez, M.I. Effects of cognitive-behavioural therapy for stress management on stress and hair cortisol levels in pregnant women: A randomised controlled trial. J. Psychosom. Res. 2020, 135, 110162. [Google Scholar] [CrossRef] [PubMed]
  17. Karamoozian, M.; Bahonar, S.; Askarizadeh, G. Impact of Prenatal Cognitive-Behavioral Stress Management Intervention on Maternal Anxiety and Depression and Newborns’ Apgar Scores. Iran. J. Neonatol. 2015, 6, 14–23. [Google Scholar]
  18. Murphy, R.; Calugi, S.; Cooper, Z. Challenges and opportunities for enhanced cognitive behaviour therapy (CBT-E) in light of COVID-19. Cogn. Behav. Therapist 2021, 13, e14. [Google Scholar] [CrossRef]
  19. Rivera, J.; Comeche, M.I.; Vallejo, M.A.; Vallejo-slocker, L. Internet versus face-to-face group cognitive-behavioral therapy for fi bromyalgia: A randomized control trial. J. Psychiatr. Res. 2015, 68, 106–113. [Google Scholar] [CrossRef]
  20. Julious, S.A. Sample size of 12 per group rule of thumb for a pilot study. Pharm. Stat. 2005, 4, 287–291. [Google Scholar] [CrossRef]
  21. Billingham, S.A.; Whitehead, A.L.; Julious, S.A. An audit of sample sizes for pilot and feasibility trials being undertaken in the United Kingdom registered in the United Kingdom Clinical Research Network database. BMC Med. Res. Methodol. 2013, 13, 104. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Bowen, D.J.; Kreuter, M.; Spring, B.; Cofta-Woerpel, L.; Linnan, L.; Weiner, D.; Bakken, S.; Kaplan, C.P.; Squiers, L.; Fabrizio, C.; et al. How We Design Feasibility Studies. Am. J. Prev. Med. 2009, 36, 452–457. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Caparrós Caparrós, B.; Villar, E.; Juan Ferrer, J.; Viñas Poch, F. Symptom Check-List-90-R: Fiabilidad, datos normativos y estructura factorial en estudiantes universitarios. Int. J. Clin. Health Psychol. 2007, 7, 781–794. [Google Scholar]
  24. Derogatis, L.R. Symptom Checklist-90-R (SCL-90-R): Administration, Scoring and Procedures Manual, 3rd ed.; NCS Pearson: Bloomington, MN, USA, 1994. [Google Scholar]
  25. Caparros-Gonzalez, R.A.; Perra, O.; Alderdice, F.; Lynn, F.; Lobel, M.; García-García, I. Psychometric validation of the Prenatal Distress Questionnaire (PDQ) in pregnant women in Spain. Women Health 2019, 59, 937–952. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Yali, A.M.; Lobel, M. Stress-resistance resources and coping in pregnancy. Anxiety Stress Coping 2002, 15, 289–309. [Google Scholar] [CrossRef]
  27. Cohen, S.; Kamarck, T.; Mermelstein, R. A global measure of perceived stress. J. Health Soc. Behav. 1983, 24, 385–396. [Google Scholar] [CrossRef]
  28. Remor, E. Psychometric Properties of a European Spanish Version of the Perceived Stress Scale (PSS). Span. J. Psychol. 2006, 9, 86–93. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Robles-Ortega, H.; Peralta-Ramírez, M.I.; Navarrete-Navarrete, N. Validación de la versión española del inventarío de vulnerabilidad al estrés de Beech, Burns y Scheffield. Av. Psicol. Salud 2006, 62, 251–258. [Google Scholar]
  30. Connor, K.M.; Davidson, J.R.T. Development of a new Resilience scale: The Connor-Davidson Resilience scale (CD-RISC). Depress. Anxiety 2003, 18, 76–82. [Google Scholar] [CrossRef]
  31. García-León, M.Á.; González-Gómez, A.; Robles-Ortega, H.; Padilla, J.L.; Peralta-Ramírez, M.I. Psychometric properties of the connor-davidson resilience scale (CD-RISC) in the Spanish population. Av. Psicol. Salud 2019, 35, 33–40. [Google Scholar] [CrossRef]
  32. Robles-Ortega, H.; Peralta-Ramírez, M.I. Programa Para el Control del Estrés; Pirámide: Madrid, Spain, 2006. [Google Scholar]
  33. Borenstein, M. Effect Sizes for Continuous Data. In The handbook of Research Synthesis and Meta-Analysis, 2nd ed.; Russell Sage Foundation: New York, NY, USA, 2009. [Google Scholar]
  34. Cohen, J. The Effect Size Index: D. In Statistical Power Analysis for the Behavioral Sciences; Routledge: New York, NY, USA, 1988. [Google Scholar]
  35. Lobel, M.; Cannella, D.L.; Graham, J.E.; DeVincent, C.; Schneider, J.; Meyer, B. Pregnancy-specific stress, prenatal health behaviors, and birth outcomes. Health Psychol. 2008, 27, 604–615. [Google Scholar] [CrossRef] [Green Version]
  36. García-León, M.Á.; Caparrós-González, R.A.; Romero-González, B.; González-Perez, R.; Peralta-Ramírez, I. Resilience as a protective factor in pregnancy and puerperium: Its relationship with the psychological state, and with Hair Cortisol Concentrations. Midwifery 2019, 75, 138–145. [Google Scholar] [CrossRef]
  37. García-León, M.Á.; Pérez-Mármol, J.M.; Gonzalez-Pérez, R.; García-Ríos, M.C.; Peralta-Ramírez, M.I. Relationship between resilience and stress: Perceived stress, stressful life events, HPA axis response during a stressful task and hair cortisol. Physiol. Behav. 2019, 202, 87–93. [Google Scholar] [CrossRef]
  38. Davide, P.; Andrea, P.; Martina, O.; Andrea, E.; Davide, D.; Mario, A. The impact of the COVID-19 pandemic on patients with OCD: Effects of contamination symptoms and remission state before the quarantine in a preliminary naturalistic study. Psychiatry Res. 2020, 291, 113213. [Google Scholar] [CrossRef] [PubMed]
  39. Di Mascio, D.; Khalil, A.; Saccone, G.; Rizzo, G.; Buca, D.; Liberati, M. Outcome of coronavirus spectrum infections (SARS, MERS, COVID-19) during pregnancy: A systematic review and meta-analysis. Am. J. Obstet. Gynecol. 2020, 2, 100107. [Google Scholar] [CrossRef]
  40. Dikmen-Yildiz, P.; Ayers, S.; Phillips, L. Depression, anxiety, PTSD and comorbidity in perinatal women in Turkey: A longitudinal population-based study. Midwifery 2017, 55, 29–37. [Google Scholar] [CrossRef] [PubMed]
  41. Ford, E.; Ayers, S. Stressful events and support during birth: The effect on anxiety, mood and perceived control. J. Anxiety Disord. 2009, 23, 260–268. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Gariepy, A.M.; Lundsberg, L.S.; Miller, D.; Stanwood, N.L.; Yonkers, K.A. Are pregnancy planning and pregnancy timing associated with maternal psychiatric illness, psychological distress and support during pregnancy? J. Affect. Disord. 2016, 205, 87–94. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Field, T. Postnatal anxiety prevalence, predictors and effects on development: A narrative review. Infant. Behav. Dev. 2018, 51, 24–32. [Google Scholar] [CrossRef] [PubMed]
  44. Romero-Gonzalez, B.; Caparros-Gonzalez, R.A.; Gonzalez-Perez, R.; Garcia-Leon, M.A.; Arco-Garcia, L.; Peralta-Ramirez, M.I. I am pregnant. Am I different?: Psychopathology, psychological stress and hair cortisol levels among pregnant and non-pregnant women. J. Psychiatr. Res. 2020, 131, 235–243. [Google Scholar] [CrossRef]
  45. Becerra-garcía, J.A.; Giménez, G.; Sánchez-Gutiérrez, T.; Barbeito, S.; Calvo, A. Síntomas psicopatológicos durante la cuarentena por COVID-19 en población general española: Un análisis preliminar en función de variables sociodemográficas y ambientales-ocupacionales. Rev. Esp. Salud Publica 2020, 94, 1–11. [Google Scholar]
Table
Table 1. Sociodemographic variables and obstetric information of the sample.
Table 1. Sociodemographic variables and obstetric information of the sample.
Therapy Group (n = 16)
M(SD)/%
Sociodemographic variables
Age36.63 (3.36)
Weeks of gestationT020.50 (7.81)
T128.50 (7.81)
Married/cohabitingYes16 (100%)
NationalitySpanish16 (100%)
Education levelHigh school2 (12.5%)
University14 (87.5%)
Employment situationEmployed2 (12.5%)
Part-time employment1 (6.3%)
Full-time employment13 (81.3%)
Obstetric information
PrimiparousYes7 (43.8%)
No9 (56.3%)
Pregnancy methodSpontaneous14 (87.5%)
Fertility treatment2 (12.5%)
Wanted pregnancyYes14 (87.5%)
No2 (12.5%)
Previous miscarriages09 (56.3%)
16 (37.5%)
≥21 (6.3%)
Note: T0 = pre-intervention; T1 = post-intervention.
Table
Table 2. Differences in psychological measures before and after therapy.
Table 2. Differences in psychological measures before and after therapy.
MeasuresT0T1t/Zpd/r
PDQ19.88(7.15)15.25(6.49)4.4460.001 **0.671
PSS28.75(5.62)22.69(7.43)3.2430.005 **0.909
IVE9.69(5.49)7.50(5.98)3.9820.001 **0.348
CD-RISC21.19(5.35)24.63(5.89)−2.6430.018 *0.608
SOM61.19(29.02)53.69(32.48)−1.6160.1060.403
OBS86.88(13.20)78.88(16.50)−2.5560.011 *0.638
SEN67.75(30.13)59.81(30.12)−1.2070.2270.301
DEP76.31(22.52)68.56(27.56)−1.3100.1900.327
ANS78.75(18.36)68.81(22.90)−3.2010.001 **0.801
SCL-90-RHOS62.63(28.32)58.69(32.74)−0.7720.4400.192
FOB67.56(31.09)52.88(36.54)−2.0030.045 *0.501
PAR55.00(41.50)48.94(41.99)−0.8400.4010.209
PSI79.94(20.47)67.75(26.98)−2.2020.028 *0.550
IGS79.94(19.23)68.88(28.13)−2.0300.042 *0.507
SP81.56(19.00)73.19(24.59)−2.2070.027 *0.551
PSDI63.69(20.33)50.00(27.14)−2.3360.019 *0.584
Note: T0 = pre-intervention; T1 = post-intervention; * = p value ≤ 0.05; ** = p value ≤ 0.01; PDQ = Pregnancy Distress Questionnaire; PSS = Perceived Stress Scale; IVE = Stress Vulnerability Inventory; CD-RISC = Connor Davidson Resilience Scale; SCL-90-R = The Symptom Checklist-90-Revised; SOM = somatizations; OBS = obsession and compulsion; SEN = interpersonal sensitivity; DEP = depression; ANS = anxiety; HOS = hostility; FOB = phobic anxiety; PAR = paranoid ideation; PSI = psychoticism; IGS = global severity index; SP = positive symptoms; PSDI = positive symptoms distress index.
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Puertas-Gonzalez, J.A.; Mariño-Narvaez, C.; Romero-Gonzalez, B.; Peralta-Ramirez, M.I. Stress and Psychopathology Reduction in Pregnant Women through Online Cognitive Behavioural Therapy during COVID-19: A Feasibility Study. Behav. Sci. 2021, 11, 100. https://0-doi-org.brum.beds.ac.uk/10.3390/bs11070100

AMA Style

Puertas-Gonzalez JA, Mariño-Narvaez C, Romero-Gonzalez B, Peralta-Ramirez MI. Stress and Psychopathology Reduction in Pregnant Women through Online Cognitive Behavioural Therapy during COVID-19: A Feasibility Study. Behavioral Sciences. 2021; 11(7):100. https://0-doi-org.brum.beds.ac.uk/10.3390/bs11070100

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Puertas-Gonzalez, Jose A., Carolina Mariño-Narvaez, Borja Romero-Gonzalez, and Maria Isabel Peralta-Ramirez. 2021. "Stress and Psychopathology Reduction in Pregnant Women through Online Cognitive Behavioural Therapy during COVID-19: A Feasibility Study" Behavioral Sciences 11, no. 7: 100. https://0-doi-org.brum.beds.ac.uk/10.3390/bs11070100

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