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The effects of lockdown during the COVID-19 pandemic on fetal movement profiles

Abstract

Purpose

The current study investigated the direct impact of the COVID-19 lockdown on fetal movements, addressing a critical research gap. While previous research has predominantly examined the effects of lockdown on maternal health and postnatal outcomes, little attention has been paid to the direct consequences on fetal well-being as indicated by their movement profile.

Methods

We conducted analysis of movement profiles in 20 healthy fetuses during the COVID-19 pandemic lockdown (third national UK lockdown period between January and March 2021) and compared them with 20 healthy fetuses from pre-covid pregnancies, all at 32 weeks gestation. We controlled for maternal stress, depression, and anxiety.

Results

Pregnant mothers during pre-covid compared with those during the COVID-19 lockdown reported similar levels of stress (p = 0.47), depression (p = 0.15), and anxiety (p = 0.07). Their fetuses, however, differed in their movement profiles with mouth movement frequencies significantly higher during COVID-19 lockdown (COVID-19 lockdown: mean of 5.909) compared to pre-Covid pregnancies (mean of 3.308; p = 0.029). Furthermore, controlling for maternal anxiety a regression analysis indicated that frequency of fetal mouth movements (p = 0.017), upper face movements (p = 0.008), and touch movements (p = 0.031) were all significantly higher in fetuses observed during lockdown compared to fetuses before the Covid period.

Conclusion

Fetuses show an effect of lockdown independent of maternal anxiety, stress, or depression. These findings contribute to our understanding of fetal development during extraordinary circumstances, raising questions about the potential effects of having to stay indoors during lockdowns.

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Background

Research on the impact of the COVID-19 pandemic on fetal movement profiles during the UK lockdown periods is notably scarce. While existing studies have primarily focused on the direct effects of COVID-19 infections on pregnant women and subsequent postnatal outcomes in their offspring [1], the potential consequences of lockdown measures on fetal well-being have received less attention. Although research regarding maternal infections with SARS-CoV-2 during pregnancy found an association with preterm birth and fetal death [1]; others investigating SARS-Covid effects on fetal neuro-sonographic abnormalities or cortical brain development found no significant evidence of such impact [2].

Postnatal research on the effects of maternal Covid infections investigated fidgety movements, which are small, erratic movements of the limbs, in 3–5 months old infants of mothers who had been exposed to COVID-19 [3]. These movements are crucial for assessing neuromotor development in early infancy [3]. They reported that the absence of fidgety movements in those infants indicated a higher risk for neurological disorders compared to a control group [3]. Examining the potential differential impact of the virus on male or female infants, Bordt et al. [4] examined the variations in immune responses to the SARS-Covid virus based on fetal sex and found that male fetuses showed less immunity transferred by the mother compared to female fetuses. Furthermore, Veeranna [5] highlighted effects of COVID-19 on the fetal auditory system, with increased neural delay of processing auditory stimuli, thereby demonstrating the wide-ranging effects of maternal Covid infections on fetal and neonatal development.

In contrast to these studies, our investigation focuses on whether pregnancy during lockdown periods has an impact on fetal movement profiles. These profiles encompass a range and frequency of movements a fetus typically exhibits, including mouth-, lower face-, upper face-, head turn-, touch- movement and eye blinks frequencies, and which are key indicators of healthy development [6, 7]. Deviations from the expected profile of fetal movements can signal fetal stress and developmental issues [8,9,10,11,12]. We hypothesized that the lockdown period may affect pregnant women, both psychologically and environmentally, thereby impacting fetal health [6]. Specifically, during the COVID-19 lockdown where government rules stated that one should not leave the house for more than one hour per day this period had the potential for impacting healthy fetal development during the COVID-19 lockdown [13].

While studies have investigated the effects of COVID-19 infections on pregnancy outcomes, as exemplified by the comprehensive review by Wastnedge et al. [14], the direct evidence of fetal effects during lockdowns remains largely unexplored. The need to study the impact of COVID-19 lockdowns on pregnancy is underscored by the fact that, while viruses can detrimentally affect fetal development [14], normal pregnancies involve an adapted maternal immune response that could be affected by the lockdown [15]. Additionally, the stress associated with a COVID-19 pregnancy, including the risk of preterm delivery, stillbirth, and increased delivery-related mortality, have a significant implication for maternal and fetal health [16]. This interpretation is supported by a large Swedish cohort study [17], which found an increased risk of autism and depression in offspring following viral infections during pregnancy, as well as studies correlating maternal stress and anxiety with neuropsychiatric diagnoses in offspring [18, 19].

In summary, our research addresses a significant gap by comparing fetal movement profiles during the COVID-19 lockdown with matched samples assessed before the pandemic, controlling for maternal stress, depression, and anxiety. This approach allows us to evaluate whether the lockdowns had additional effects on fetal development beyond the established impact of maternal mental health.

Methods

Ethical approval

This study was performed in accordance with the Declaration of Helsinki and ethical permission for the research reported in this paper was granted by Durham University (PSYCH-2020-12-07T13:46:58-dps0nr). All mothers gave informed written consent to participate and for publication.

Study design

This study investigated potential effects of the lockdown period during COVID-19 on fetal movement profiles in the last trimester of pregnancy. To achieve our objectives, we employed a cohort study design, comprising two groups: an experimental group of pregnant women who underwent ultrasound scans during the COVID-19 lockdown period, and a control group of pregnant women from the same area whose ultrasound scans were conducted before the pandemic.

Participants

We recruited a total of 40 pregnant participants whose fetuses (21 females, 19 males) were healthy at the 20-week anomaly scan (see Tables 1 and 2). All participants resided in the same geographical region in the north of England, were non-smokers, aged between 18 and 37, and had a healthy BMI ranging from 18 to 33. Exclusion criteria included any medication usage, recreational drug use, or diagnosed medical or mental health conditions. The experimental group of mothers during the COVID-19 lockdown period did not show any signs or symptoms of Covid for the past 14 days prior to their scans.

Table 1 Descriptive statistics of participants who were pregnant during the COVID-19 lockdown
Table 2 Descriptive Statistics of participants who were pregnant prior to the COVID-19 pandemic

Data collection

Data for the experimental group were collected during the third UK national lockdown period, which spanned from January to March 2021. This period was characterized by a range of COVID-19 control measures and restrictions including stay-at-home orders, closures of non-essential businesses, school closures, social distancing requirements, face covering mandates, remote work, travel restrictions, limitations on social gatherings, and the initiation of a vaccination rollout.

Pregnant women underwent 4D ultrasound scanning at 32 weeks gestation for about 20 min following the guidelines of the British Medical Ultrasound Society [20] in a COVID-19 compliant clinic. Mothers completed the Hospital Anxiety and Depression Scale - HADS [21], Perceived Stress Scale – PSS [22], and Maternal Antenatal Attachment Scale - MAAS [23]. The HADS asks mothers to describe their feelings over the past week. It has two subscales, HADS-A (Anxiety/ 7 questions) and HADS-D (Depression/ 7 questions), and a total score range of 0 (minimum) to 21 (maximum). Anxiety statements are such “I get sudden feelings of panic”. Depression statements are such “I still enjoy the things I used to”. The PSS asks mothers to evaluate stress levels during the month prior to each ultrasound scan. It has 10 items, with answers based on 5-point Likert (ranging from 0 = ‘never’ to 4 = ‘very often’ stressed). In addition to the psychological assessments, we collected information about COVID-19 status (had Covid, no Covid), information not available for control group participants who underwent ultrasound scans before the pandemic.

Coding of ultrasound scans

All ultrasound scans were coded frame by frame using the Observer X15T software programme (Wageningen, Netherlands). Coding included identifying various behavioural groups following the Fetal Observational Movement System (FOMS) guidelines [24]. Behavioural groups included mouth movements, lower face movements, upper face movements, head turn, touch movements and eye blinks. Each behavioural group was coded separately, with distinct start and stop codes corresponding to the visibility of the behavioural group. For example, the total duration of the mouth being visible throughout the scan is calculated via start codes when the mouth is visible and stop codes when the mouth cannot be coded. We repeated this process for each behavioural group. The relative frequency of each behaviour was computed due to variations in the duration of visibility among fetal scans.

Reliability

To ensure the reliability of coding, 10% of the ultrasound scans were randomly selected and coded by a second, independent coder who was blinded to the study’s hypotheses and participant condition. Inter-rater reliability was assessed using Cohen’s kappa statistics, with a mean kappa value of 0.87 (range 0.83 to 0.95), indicating substantial agreement between coders.

Statistical analysis

A rigorous statistical approach was employed to analyse the data [25], which will be fully described in the Results section. This included appropriate statistical tests or models to test research hypotheses. Potential confounding variables were accounted for through statistical controls.

Results

Maternal mental health comparison

Using a two-sided, two-sample t-test (assuming unequal variances and with the Welch correction of degrees of freedom), we found no significant differences between the experimental (mean = 11.5) and control groups (mean = 10.1) in relation to Perceived Stress (p = 0.47), depression (experimental mean = 3.55; control mean = 2.65, p = 0.15), and anxiety (experimental mean = 5.65; control mean = 3.9. p = 0.07). The relationship between the pandemic lockdown status and the maternal mental health indicators is illustrated in Fig. 1.

Fig. 1
figure 1

Boxplots of mental health indicators by lockdown status (0 = control; 1 = experimental)

Comparison of movement frequencies

For each of the behavioural groups (mouth movements, lower face movements, upper face movements, head turn, touch movements, and eye blinks), we carried out two-sample t-tests using the Welch corrected degrees of freedom. Each sample consists of n = 20 values representing the “number of movements divided by codable scan length”, referred to as relative number of movements. These relative movement numbers are summarized in Fig. 2. Results of the comparisons of relative number of movements by treatment status are summarized in Table 3. We found a significant difference in mean values between the control and experimental groups for mouth movements, with experimental fetuses exhibiting significantly more movements. A similar trend of increased relative number of movements from the pre-Covid to the Covid sample, was consistent across all behavioural groups, statistical significance was not reached at the 5% level except for mouth movements.

Table 3 Means of the number of movements relative to codable scan length

Model-based analysis

To further investigate the effects of the pandemic on movement profiles, we conducted a regression analysis for each of the five movement types, adjusting for covariates. The models included binary predictor variables for lockdown status (0 = control, 1 = experimental), fetal gender (0 = female, 1 = male), continuous predictor variables (anxiety, depression, perceived stress, maternal attachment), gestational age (weeks), and maternal age (years). Negative binomial regression models with log-link were used to account for overdispersion, with a codable scan length for the respective movement types entering as an offset. That is, the models take shape of type log(E(movement count)) = log(codable scan length) + \({\beta }_{0}+ {\sum }_{j}{\beta }_{j}{x}_{j}\) where “movement count” is the count (an integer value) of the respective movement type, E(.) stands for the expectation operator, log(codable scan length) is the offset, \({\beta }_{0}\) is the intercept parameter, and \({\beta }_{j}\) are the coefficients for predictor variable \({x}_{j}\), which correspond to the variables listed in the first column of Table 4 beneath the intercept. Due to the presence of overdispersion, a Negative Binomial Type 2 model was used for the modelling of all behavioural groups.

Results of the fitted models are summarized in Table 4. While the overall trends align with the two-sample t-tests, adjusting for covariates revealed a significant impact of the lockdown on both upper face and mouth movements. Additionally, increasing gestational age was associated with fewer head turns tends (p = 0.016). We omit the results for the fitted models of eye blinks due to the absence of significant effects (see Fig. 2). It is important to note that, from a strict statistical perspective, one could argue for the consideration of multiple testing, given that we are examining five outcome variables concurrently. However, even after applying a Bonferroni correction, which sets the significance threshold at 1% instead of 5%, the significant effect of the lockdown on upper face movements remains statistically significant.

Fig. 2
figure 2

Boxplots of relative number of movements for all behavioural groups by lockdown status (0 = control; 1 = experimental)

Mediation analysis for the effect of anxiety on mouth movements

A mediation analysis was conducted to explore whether anxiety mediated the effect of the lockdown. For example, whether it could be the case that the lockdown has caused anxiety in mothers and this anxiety then leads to a change of frequency in movements. This analysis focused on Upper Face movements, Mouth movements, and Touch movements, as these had shown significant impact in previous analyses. We specifically examined anxiety as a possible mediator, given its close-to-borderline significant effect observed.

The mediation analysis aims to determine whether inclusion of the mediator (anxiety) in the model altered the significance of the lockdown’s effect. If this inclusion results in a loss of significance of the effect of the pandemic, this would indicate a mediation effect. Removal of anxiety from the models did not notably alter the significance of the lockdown coefficient for mouth movements (p = 0.016) but increased the p-value for Upper Face movements (p = 0.013) and Touch movements (p = 0.033). Thus, inclusion of anxiety would not decrease significance of the effect of the lockdown. This suggests that anxiety did not mediate the impact of the lockdown on the movement frequency.

Table 4 Coefficient estimates and p-values (in brackets and italic) for the behavioural groups

Discussion

The current study found similar levels of anxiety, stress, and depression reported by mothers tested pre-COVID-19 and during the COVID-19 lockdown. However, fetal movement profiles of the two groups differed significantly. This result suggests that other factors apart from maternal mental health may influence fetal movement profile differences observed. Therefore, it is essential to explore changed movement profiles and the effects on fetal health in more detail. Although, research suggest that maternal mental health plays a role in the effects of the COVID-19 lockdown on the pregnancy, we did not find this in our sample when testing general anxiety in the two samples. However other potential explanations include less exposure to daylight, given the mandate of staying at home which affects mental health as well as sleep [26; 27]. One study [28] cited that most time was spent in the home (74%), and only 8% of time was spent outdoors.

Although we did not test, in our study, for the effects of hormonal factors other research indicates significant alterations in thyroid hormone levels among pregnant women during the COVID-19 pandemic [29]. Given that during lockdown mothers were required to stay indoors, they were potentially exposed to low levels of natural daylight and increased artificial light sources. The disruption of circadian rhythms and hormonal functions caused by altered lighting conditions has the potential to impact fetal development significantly [30]. Hence, we might speculate that during the COVID-19 lockdown, changes in daily routines and time spend indoors may have influenced melatonin production, impacting thyroid regulation and thereby changing fetal movement patterns.

Despite the limitations imposed by the relatively small sample size, our study offers an important insight into the effects of lockdown conditions on fetal movements. The challenges (restrictions on 4D ultrasound scans) imposed by lockdown conditions made it difficult to access a larger pool of participants, resulting in a limited dataset. The COVID-19 pandemic unfolded with varying degrees of severity and lockdown measures across different regions and time periods. Our study focused on a specific period during the third UK national lockdown between January and March 2021. While we have highlighted the potential influence of time spent indoors and hormonal factors, our study did not assess these variables. Future research should aim to quantify environmental factors, such as natural light exposure and artificial light sources, to better understand their role in fetal development.

Conclusion and implications

In conclusion, our study highlights the complex relationship of influences shaping fetal movements during the lockdown period of the COVID-19 pandemic. It highlights the need for a holistic approach to understand the multifaceted effects of quarantine conditions on the delicate process of fetal development, including time spend indoors, maternal mental health, and potentially hormonal factors. Future research needs to follow up infants who have been born in this period, assessing their socio-emotional and adaptive behaviours, as well as their cognitive and language development. These insights can inform evidence-based clinical practices and public health strategies to better manage the challenges and uncertainties that pregnant women and their unborn children face in the context of a global pandemic.

Data availability

The data are available at: https://www.maths.dur.ac.uk/users/jochen.einbeck/Data/Fetal-Lab/.

References

  1. Masoller N, Rodriguez R, Herrero B, Antolin E, Cruz-Lemini M, Alejos O, et al. Fetal neurosonographic assessment after maternal COVID-19 infection during pregnancy. Ultrasound Obstet Gynecol. 2021;58:226–7.

    Article  PubMed Central  Google Scholar 

  2. Lopez M, Hawkins-Villarreal AM, Goncé A, Ribera L, Curell MV-B, Castillo KP, et al. OP03.01: maternal and perinatal outcome in women with SARS-CoV-2 infection during pregnancy. Ultrasound Obstet Gynecol. 2021;58:65–5.

    Article  PubMed Central  Google Scholar 

  3. Sokołów M, Adde L, Klimont L, Pilarska E, Einspieler C. Early intervention and its short-term effect on the temporal organization of fidgety movements. Early Hum Dev. 2020;151:105197. pmid:32979679.

    Article  PubMed  Google Scholar 

  4. Bordt EA, Shook LL, Atyeo C, Pullen KM, De Guzman RM, Meinsohn M-C, et al. Maternal SARS-CoV-2 infection elicits sexually dimorphic placental immune responses. Sci Transl Med. 2021;13:eabi7428.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Veeranna SA, Youngblood PL, Bradshaw L, Marx CG. COVID-19 during pregnancy and its impact on the developing auditory system. Am J Otolaryngol. 2022;43(4):103484.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Miskovic B, Vasilj O, Stanojevic M, Ivanković D, Kerner M, Tikvica A. The comparison of fetal behavior in high risk and normal pregnancies assessed by four dimensional ultrasound. J Matern Fetal Neonatal Med. 2010;23(12):1461–7.

    Article  PubMed  Google Scholar 

  7. Reissland N, Makhmud A, Froggatt S. Comparing a fetus diagnosed with prader-willi-syndrome with non-affected fetuses during stimulation in 4D ultrasound. Acta Paediatr. 2019;108(2):375–6.

    Article  PubMed  Google Scholar 

  8. Reissland N. What the fetal face can tell us: a discussion of the evidence, implications and potential for further research. Donald Sch J Ultrasound Obstet Gynecol. 2014;8(4):336–34.

    Article  Google Scholar 

  9. Reissland N, Einbeck J, Wood R, Lane A. Effects of maternal mental health on prenatal movement profiles in twins and singletons. Acta Paediatr. 2021;110(9):2553–8.

    Article  PubMed  Google Scholar 

  10. Stanger JJ, Horey D, Hooker L, Jenkins MJ, Custovic E. Fetal movement measurement and technology: a narrative review. IEEE Access. 2017;5:16747–56.

    Article  Google Scholar 

  11. Tveit JV, Saastad E, Stray-Pedersen B, Børdahl PE, Flenady V, Fretts R, Frøen JF. Reduction of late stillbirth with the introduction of fetal movement information and guidelines - a clinical quality improvement. BMC Pregnancy Childb. 2009;22(9):32.

    Article  Google Scholar 

  12. Whitehead CL, Nicole Cohen N, Visser GHA, Farine D. Are increased fetal movements always reassuring? J Matern -Fetal Neonatal Med. 2020;33(21):3713–8.

    Article  PubMed  Google Scholar 

  13. Chuffa LGA, Lupi LA, Cucielo MS, Silveira HS, Reiter RJ, Seiva FRF. Melatonin promotes uterine and placental health: potential molecular mechanisms. Int J Mol Sci. 2019;21(1):300.

    Article  PubMed  Google Scholar 

  14. Wastnedge EAN, Reynolds RM, van Boeckel SR, Stock SJ, Denison FC, Maybin JA, Critchley HO. D. pregnancy and COVID-19. Physiol Rev. 2021;1(101):303–18.

    Article  Google Scholar 

  15. Abu-Raya B, Michalski C, Sadarangani M, Lavoie PM. (2020). Maternal Immunological Adaptation During Normal Pregnancy. Front. Immunol., 2020; 7(11), 575197.

  16. DeSisto CL, Wallace B, Simeone RM, Polen K, Ko JY, Meaney-Delman D, Ellington SR. Risk for stillbirth among women with and without COVID-19 at delivery hospitalization. MMWR. 2021;70:16401645.

    Google Scholar 

  17. Al-Haddad BJS, Oler E, Armistead B, Elsayed NA, Weinberger DR, Bernier R, et al. The fetal origins of mental illness. AJOG. 2019;221(6):549–62.

    Article  CAS  Google Scholar 

  18. Glover V. Maternal depression, anxiety and stress during pregnancy and child outcome; what needs to be done. Best Pract Res Clin Obstet. 2014;28(1):25–35.

    Article  Google Scholar 

  19. O’Connor TG, Ciesla AA, Sefair AV, Thornburg LL, Brown AS, Glover V, O’Donnell KJ. Maternal prenatal infection and anxiety predict neurodevelopmental outcomes in middle childhood. Psychopathol Clin Sci. 2022;131(4):422–34.

    Article  Google Scholar 

  20. ter Haar G. The new British Medical Ultrasound Society Guidelines for the safe use of diagnostic ultrasound equipment. Ultrasound. 2010;18(2):50–1.

    Article  Google Scholar 

  21. Zigmond AS, Snaith RP. The Hospital anxiety and Depression Scale. Acta Psychiatr Scand. 1983;67(6):361–70.

    Article  CAS  PubMed  Google Scholar 

  22. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24:386–96.

    Article  Google Scholar 

  23. Condon JT, Corkindale C. (1997). The assessment of antenatal emotional attachment: development of a questionnaire instrument. Br. J. Health Psychol. 1993; 70(4), 359–372.

  24. Reissland N, Francis B, Buttanshaw L. The fetal Observable Movement System (FOMS). In: Reissland N, Kisilevsky B, editors. Fetal Development Research on Brain and Behavior, Environmental influences, and Emerging technologies. Springer US; 2016. pp. 153–76.

  25. R Core Team. (2023). _R: A Language and Environment for Statistical Computing_. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

  26. Schamilow, S., Santonja, I., Weitzer, J., Strohmaier, S., Klösch, G., Seidel, S., ... & Papantoniou, K.. Time Spent Outdoors and Associations with Sleep, Optimism, Happiness and Health before and during the COVID-19 Pandemic in Austria. Clocks & Sleep, (2023) 5(3), 358–372.

  27. Haider S, Smith L, Markovic L. Associations between physical activity, sitting time, and Time Spend outdoors with Mental Health during the First COVID-19 Lock Down in Austria. Int J Environ Res Public Health. 2021;18(17):9168. https://doi.org/10.3390/ijerph18179168.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Lades LK, Laffan K, Daly M, Delaney L. Daily emotional well-being during the COVID-19 pandemic. Br J Health Psychol 25(4) 902–11. https://doi.org/10.1111/bjhp.12450.

  29. Lin T-T, Zhang C, Zhang H-Q, Wang Y, Chen L, Dennis C-L, et al. Thyroid hormone changes in early pregnancy along with the COVID-19 pandemic. Front. 2020;11:20.

    Google Scholar 

  30. Bagci S, Sabir H, Müller A, Reiter RJ. Effects of altered photoperiod due to COVID-19 lockdown on pregnant women and their fetuses. Chronobiol Int. 2020;37(7):961–73.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We thank the mothers who participated in the study. We are also grateful to the sonographers for their brilliant work at imaging the fetuses. We thank Dr. Froggatt for reliability coding and the data for the control group.

Funding

No funding to declare.

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Authors and Affiliations

Authors

Contributions

NR had primary responsibility for protocol development, ethics application, outcome assessment and writing of the ms. BU supported the protocol development and ethics application, collected the data, was the primary coder of the data and reviewed the write up of the paper. JE was responsible for the statistical analyses of the data and writing up of this section of the paper as well as reviewing the write up of the paper. All authors reviewed the final version of the ms.

Corresponding author

Correspondence to N. Reissland.

Ethics declarations

Ethics approval and consent to participate

Ethics approval was granted by Durham University (PSYCH-2020-12-07T13:46:58-dps0nr). This study was performed in accordance with the Declaration of Helsinki.

Consent for participation

All participants gave informed written consent to participate in the research.

Consent for publication

All participants gave informed written consent forpublication.

Competing interests

The authors declare no competing interests.

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Reissland, N., Ustun, B. & Einbeck, J. The effects of lockdown during the COVID-19 pandemic on fetal movement profiles. BMC Pregnancy Childbirth 24, 56 (2024). https://doi.org/10.1186/s12884-024-06259-8

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