Active anxiety disorders have lasting detrimental effects on pregnant mothers and their offspring but it is unknown if historical, non-active, maternal anxiety disorders have similar effects. Anxiety-related conditions, such as reduced autonomic cardiac control, indicated by reduced heart rate variability (HRV) could persist despite disorder resolution, with long-term health implications for mothers and children. The objective in this study is to test the hypotheses that pregnant mothers with a history of, but not current anxiety and their children have low HRV, predicting anxiety-like offspring temperaments.
The participants in this case-control study consist of 56 women during their first trimester and their offspring (15 male, 29 female). Women had a history of an anxiety disorder (n=22) or no psychopathology (n=34) determined using the Mini-International Neuropsychiatric Interview. The main outcome measures were indices of autonomic cardiac control including root mean square of successive differences (RMSSD) and high frequency (HF) variability. Children’s fearfulness was also assessed using the Laboratory Temperament Assessment Battery (Lab-TAB)-Locomotor Version.
HRV was lower in women and children in the past anxiety group compared to controls. HRV measures for mothers and children were positively correlated in the anxiety group only. In all children, low HRV measures at 2-4 months were associated with a higher chance of fearful behavior at 9-10 months.
Pregnant women with previous but not current anxiety and their children have low HRV. Children with low HRV tend to show more fearfulness. These findings have implications for identifying children at risk of anxiety disorders and point to possible underlying mechanisms of child psychopathology.
Citation: Braeken MAKA, Kemp AH, Outhred T, Otte RA, Monsieur GJYJ, Jones A, et al. (2013) Pregnant Mothers with Resolved Anxiety Disorders and Their Offspring Have Reduced Heart Rate Variability: Implications for the Health of Children. PLoS ONE 8(12): e83186. https://doi.org/10.1371/journal.pone.0083186
Editor: James Coyne, University of Pennsylvania, United States of America
Received: May 27, 2013; Accepted: November 10, 2013; Published: December 10, 2013
Copyright: © 2013 Braeken et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The PELS study is funded by the EuroSTRESS programme of The European Science Foundation (ESF) and the Brain and Cognition Programme of the Netherlands Organisation for Scientific Research (NWO). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have read the journal's policy and have the following conflicts: Co-author Andrew Kemp is a member of the PLOS ONE Editorial Board. However, this does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.
More than one third of adults have a history of anxiety disorders and women are twice as likely to experience such disorders . Though the presence of anxiety disorders during pregnancy has an impact on both mothers and their offspring [2,3], it is not known if a resolved anxiety disorder is similarly important. Mood and anxiety disorders are associated with abnormal autonomic nervous system (ANS) function, indexed by reduced heart rate variability (HRV). Reduced HRV is a marker of physical and mental ill health and has been identified as a risk factor for various diseases, including cardiovascular disease (CVD) and mortality [4-8]. If autonomic abnormalities (e.g., low HRV) also persist in pregnant women who have had an anxiety disorder, these could have important, under-appreciated health risks in both, mothers and their children. However, it is not known whether past mental disorders could affect pregnant women and their children via reduced HRV, or other uncharacterized mechanisms. HRV of the developing fetus is altered in the offspring of mothers with a number of psychiatric conditions, including anxiety disorders, and these differences persist postnatally [9-11]. This suggests that the development of the ANS may be susceptible to the influence of maternal characteristics, with potential long-term consequences for the health of the offspring. Therefore, improved understanding of the relationship between maternal psychiatric illness, HRV and infant physical and mental wellbeing is an important goal.
In this study, we aimed to assess the physiological correlates of past maternal anxiety disorders in both pregnant mothers and their offspring, focusing on HRV as a potential shared risk factor for ill health and abnormal autonomic function. To optimize our study, HRV was measured at rest and during mental stress. Although associations with HRV are apparent at rest [12,13], they are often more evident when participants are exposed to stress , and anxious individuals may be particularly sensitive to such stress exposure [15,16]. We assessed HRV in mothers with a remitted anxiety disorder and healthy controls in their first trimester of pregnancy, a critical period of fetal development. We then assessed the HRV of their offspring at 2-4 months of age and the child’s temperament at 9-10 months.
We hypothesized the following: 1) mothers with a past, but no current, anxiety disorder will demonstrate abnormal autonomic physiology (particularly low HRV); 2) these differences will be more apparent under stress than under rest; 3) maternal HRV will be positively correlated with offspring HRV; 4) offspring of mothers with a history of an anxiety disorder will display abnormal autonomic physiology (low HRV) and; 5) this will be associated with temperamental disturbances in the offspring that might be considered predictive of later psychopathology.
Materials and Methods
Participants in the present study were recruited as part of the Prenatal Early Life Stress (PELS) study by midwives and hospitals, between May 2009 and July 2010. The overarching goal of PELS is to study the associations between prenatal risk factors, birth outcome and altered child psychophysiology and neurodevelopment. For the purposes of the present study, a group of women with a past, but no current, anxiety disorder (PAD group) and a healthy control group without any history of psychopathology were defined. No participants with a current diagnosis of an anxiety disorder were available from the PELS study. PAD included panic disorder, agoraphobia, generalized anxiety disorder, social phobia, obsessive-compulsive disorder and posttraumatic stress disorder. In the PAD group, 17 women had only one of these anxiety diagnoses, while five women had two of them. Nine women also had a history of comorbid depression and five had a history of a comorbid eating disorder. None of the participants were under treatment for a current mental disorder, used cardiovascular medications or antidepressants. Loss to follow-up or attrition due to data loss in the groups is shown in Figure 1.
The Medical Ethics Committee of the St. Elisabeth hospital in Tilburg (the Netherlands) approved the study. All participants provided informed, written consent for themselves and their children.
Psychological and Psychiatric Assessment of Mothers.
The Mini-International Neuropsychiatric Interview 6.0  was administered within the second pregnancy trimester to assess past maternal psychopathology. This is a structured interview based on Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) criteria. In the first pregnancy trimester women completed the state anxiety subscale of the State Trait Anxiety Inventory . The women rated themselves on twenty items on a four-point Likert scale ranging from “(1) - not at all” to “(4) - very much”, resulting in an anxiety total score ranging between 20 and 80.
Relaxation and Stress Tasks.
In the first pregnancy trimester each mother undertook a 25-minute task that consisted of five testing phases, lasting 5 minutes each. Stress was induced in the second and fourth phase, with the remainder being relaxation phases. During the stress phases, participants were asked to solve complex mental arithmetic problems, involving five mathematical operations on 2-3 digit numbers without verbalization (e.g., (361+11)÷(3× 4)+137). They were asked to choose the correct answer from three possibilities presented by a computer. Feedback on the task was given after completion of the last phase . Participants viewed peaceful pictures and listened to restful music during the relaxation phase .
During the relaxation and stress tasks maternal ECG was recorded using the Vrije Universiteit Ambulatory Monitoring system (VU-AMS)  in a three Ag/AgCl electrode placement configuration: (1) on the sternum over the ﬁrst rib between the two collarbones, (2) at the apex of the heart over the ninth rib on the left lateral margin of the chest, and (3) at the lower right abdomen (ground electrode). The skin was cleaned with alcohol to ensure impedance was low. Five-minute HRV measurements were determined for the relaxation and stress phases separately.
Children’s ECGs were collected when they were 2-4 months of age. The active electrode was placed on the child’s thorax, while the reference and ground electrode were on an EEG cap . These recordings were made using a Biosemi ActiveTwo biopotential measurement system. Although some data were discarded due to motion artifacts, HRV measurements were determined from the average of 3 to 5 blocks of ECG, lasting 2.5 minutes each.
Behavioral Assessment of the Children.
An additional assessment of child behavior at 9-10 months of age was conducted using the Laboratory Temperament Assessment Battery (Lab-TAB)-Locomotor Version , a more ecologically valid and less biased assessment of child behavior and temperament than parental-report measures with demonstrable clinical value . The child was presented with a robotic dog (the unpredictable mechanical toy paradigm from the fear subscale) that was barking and walking towards them. Based on the children’s facial expression, body posture, vocalizations, and escape behavior, indicators of fear were assessed for the first 20 seconds . A researcher, blind to maternal data, rated the recorded videotapes using the standard scoring procedures. Observed fearfulness was calculated from the fear indicators. As the fearfulness measure could not be normalized, children with a score of 0 or 1 were categorized as not fearful, while children with a score above 1 were considered fearful.
Data Processing and Analyses
ECG data were processed using custom software written in Matlab (Mathworks, Natick, USA) to obtain indices of parasympathetic ANS activity, according to published standards . These measures were root mean square of successive differences (RMSSD) and high frequency (HF) variability. ECG beat detection was carried out with the Hilbert transform algorithm . Potentially erroneous beat detections were identified using a standard approach and screened for validity . As HRV measures were right-skewed, they were natural log transformed to normality. Data for three mothers were excluded due to extreme values; visual inspection of the ECGs suggested that these outliers were due to cardiac arrhythmias.
Statistical analyses were performed using SPSS 19 . A repeated measures ANOVA was used to examine the differences between mothers’ HRV during the various phases of the mental arithmetic task across the two groups (healthy group versus PAD group). Mother’s age and pre-pregnancy BMI were included as covariates. To account for mothers’ state anxiety, we conducted a propensity score matching to balance state anxiety, age and BMI in both groups. This procedure was executed using a custom designed plugin  for IBM SPSS Statistics. Logistic regression is used to determine a predicted score that relates to the propensity for participants to belong to a particular group based on a given set covariates. The matching algorithm was fine-tuned by discarding units outside the area of common support to improve balance on covariates, and using a ‘caliper’ of 0.5 – this is the standard deviation of the logit of the propensity score – to prevent ‘bad’ matches. After the propensity score is estimated, cases with the closest score are matched using a simple 1:1 nearest neighbor matching routine based on a ‘greedy’ matching algorithm. A series of model adequacy checks were then performed including inspection of numerical balance measures, diagnostic plots and re-examination of group differences across the covariates entered into the PS analysis. Next, mothers’ state anxiety was added as covariate in the repeated measures ANOVA. Independent t-tests were conducted to investigate group differences in children’s HRV. Linear regression analyses were conducted to determine whether maternal HRV was associated with that of their children, and logistic regression analyses to determine whether children’s HRV at 2-4 months of age was associated with fearfulness at 9-10 months of age. Regression analyses were controlled for sex, age, birth weight, and gestation length of the child and mother’s state anxiety. The effect of offspring HRV on the continuous variable fearfulness was also tested for significance by generating bootstrapped 95% confidence intervals as the fearfulness variable was not normal.
Characteristics of mothers and children in the healthy and PAD groups are shown in Table 1. Importantly, no differences between groups were observed for variables that might have a confounding influence on HRV, except for mothers’ state anxiety. Age and BMI of mothers, and age, sex distribution, birth weight, fearfulness and gestation length of the children did not differ significantly between the groups. Propensity score matching identified and matched 18 mothers in each group, providing a matched sample across all of the critical confounding factors, including mothers’ state anxiety.
|AGE (yr)||34.31 (3.14)||33.47 (4.95)||.44|
|BMI (kg/m2)||24.51 (4.98)||24.13 (3.13)||.75|
|STAI (state)a||33.29 (5.79)||39.05 (6.98)||.001|
|RMSSD Phase 1 (rest) (ln ms)||3.46 (0.53)||3.2 (0.44)||.06|
|RMSSD Phase 2 (stress) (ln ms)||3.31 (0.48)||2.92 (0.48)||.005|
|RMSSD Phase 3 (rest) (ln ms)||3.38 (0.45)||3.15 (0.51)||.08|
|RMSSD Phase 4 (stress) (ln ms)||3.28 (0.43)||3.08 (0.51)||.13|
|RMSSD Phase 5 (rest) (ln ms)||3.47 (0.46)||3.17 (0.45)||.02|
|HF Phase 1 (rest) (ln ms2)||6.16 (1.02)||5.69 (0.77)||.07|
|HF Phase 2 (stress) (ln ms2)||5.92 (0.92)||5.25 (0.86)||.009|
|HF Phase 3 (rest) (ln ms2)||5.99 (0.91)||5.49 (0.93)||.05|
|HF Phase 4 (stress) (ln ms2)||5.97 (0.72)||5.39 (0.8)||.006|
|HF Phase 5 (rest) (ln ms2)||6.25 (0.84)||5.54 (0.85)||.003|
|Children at 2-4 months|
|Age (wk)||15.2 (5.1)||16.6 (6.2)||.41|
|Sex||8 boys, 20 girls||7 boys, 9 girls||.31f|
|Gestation (wk)||39.4 (1.1)||39.1 (2.1)||.54|
|Birth weight (g)||3330 (348)||3269 (562)||.87|
|RMSSD Rest (ln ms)||2.47 (0.51)||2.16 (0.44)||.048|
|HF Rest (ln ms2)||4.43 (1.04)||3.78 (1.00)||.048|
|Children at 9-10 months|
|Age (wk)||35.7 (3.1)||35.7 (3.6)||>.99|
|Sex||4 boys, 11 girls||4 boys, 3 girls||.17b|
Impact of Past Anxiety Disorder in Women
Repeated measures ANOVA analysis, adjusted for mother’s age and pre-pregnancy BMI, revealed a significant between-subjects effect of group (i.e. PAD or healthy) on both RMSSD HRV (RMSSD: F(1,52)=4.37, p=.04, partial η2=0.08) and HF HRV (HF: F(1,52)=6.68, p=.01, partial η2=0.12), indicating reduced HRV in women with PAD (Figure 2, a and b). In addition, there was a significant within-subjects effect of phase, indicating that mothers’ HRV was significantly different across phases (RMSSD: F(1,52)=11.16, p<.001, partial η2=0.18 HF: F(1,52)=5.73, p<.001, partial η2=0.10) (see Table 1). There was no interaction effect of group by phase, therefore, subsequent analyses are based on the mean HRV over all five phases, since the aim of our study was to study differences between women with a PAD and the healthy group. Between-subjects effects of group remained significant for HF HRV (F(1,36)=4.23, p=.048, partial η2=0.12), but not for RMSSD (F(1,36)=1.60, p=.22, partial η2=0.05) when tests were run on the propensity score matched sample.
Associations Between Maternal and Offspring HRV
Regression analysis, adjusted for mother’s state anxiety, offspring’s sex and age, revealed a significant group x mother’s HRV interaction effect on offspring’s HRV RMSSD (β=0.98, p=.01) and HRV HF (β=0.95, p=.046), indicating that there is a positive significant association between maternal and offspring HRV in the PAD group, but not in the healthy group. Adding birth weight and gestation length as additional covariates showed that the relationship between maternal and infant HRV was not influenced by changes in birth weight and gestational age.
Impact of Maternal Past Anxiety Disorder on Offspring HRV
An independent t-test showed that children of mothers with a PAD have lower HRV than those born to mothers without a PAD (RMSSD t(42)=2.04, p=.048, Hg=.65; HF t(42)=2.05, p=.048, Hg=.65; Table 1 and Figure 2, c and d). Maternal state anxiety was inversely correlated with offspring RMSSD HRV but this had marginal significance (r=-0.27, p=.08), while the correlation for HF HRV was significant (r=-0.33, p=.03). These were correlations in the total group (consisting of the healthy group and PAD group); no correlations were found between maternal state anxiety and offspring HRV when focusing on groups separately (p>.05).
Relationship between Offspring Temperament and Offspring HRV
Logistic regression analyses controlling for age, sex and gestation length indicated that the children’s HRV at 2-4 months of age was inversely associated with measures of their fearfulness carried out at 9-10 months of age (RMSSD: odds ratio=0.01, p=.047; HF: odds ratio=0.20, p=.07). Bootstrapped regression analyses with fearfulness as a continuous variable also indicated a significant effect of offspring HRV on fearfulness (RMSSD: 95% CI=[-1.63, -1.19]; HF: 95% CI=[-0.09, -0.01]).
To our knowledge, this is the first study to show that pregnant women with a PAD have autonomic abnormalities early in pregnancy and that these abnormalities may impact on the future physiological (reduced parasympathetic function) and mental (fearfulness) wellbeing of their offspring. Pregnant women with PAD displayed reduced parasympathetic nervous system activity (indexed by HRV), compared to those without PAD. Furthermore, the offspring of mothers with a PAD also had lower HRV than those whose mothers had been healthy. In the group of mothers with PAD, an association between maternal HRV and offspring HRV was observed. In the offspring, lower HRV at 2-4 months was associated with a fearful temperament assessed approximately 7 months later. These findings were independent of variations in state-anxiety, age, sex, BMI and mother-child associations were not explained by the children’s birth weight or gestational age.
Consistent with prior research, this study shows that people with past psychiatric disorders have lower HRV [6-8,31]. The novel contribution we make here is the result that pregnant women with a past anxiety disorder also have reduced HRV and these psychophysiological alterations may impact on the future physiological and mental wellbeing of their offspring. It is important to note that the HF HRV differences between women with and without PAD – findings associated with a moderate to large effect size – remained after controlling for confounding factors including state anxiety, age and BMI by propensity score matching. Future studies are needed to confirm this finding in a larger sample in order to generalize to both pregnant and non-pregnant women populations. We note here that women with PAD have a higher level of a subclinical trait (e.g., anxiety), although it no longer reaches criteria for clinical diagnosis. Although we controlled for state anxiety as a confounding factor, it is possible that state anxiety also impacts on maternal HRV as well as the physiological and mental state of the offspring.
There are numerous possible means by which maternal PAD and/or HRV might be associated with parasympathetic nervous system function in the offspring. Clearly, mothers and their children share genes and environmental exposures and the health of mothers in pregnancy is an important determinant of child development and health. Maternal behavior may also be an important factor in this association [32-34]. In our study, the mothers with a PAD not only had significantly lower HRV compared to the healthy group, but also had altered state anxiety, albeit to a lesser extent than in the past. In comparison to the healthy group, the offspring of mothers with a PAD also had lower HRV. Lower HRV in all children was shown to be associated with a fearful temperament. Therefore, it is possible that mothers with a PAD and their offspring share an underlying psychological disorder, which might explain links between maternal and offspring HRV. Our study highlights the need for more research into how mothers might transmit their pro-anxiety phenotype to their offspring.
A variety of genes influence vulnerability to anxiety disorders. These include serotonin-transporter linked polymorphic region (5-HTTLPR), Catechol-O-methyltransferase (COMT), and brain-derived neurotrophic factor (BDNF) gene variants . We have reported previously that the combination of a BDNF V/V genotype and early life stress predicts changes in brain structure that are associated with lower HRV and higher anxiety . These findings provide a potential explanation for our observed relationship between HRV of mothers with a PAD and their children, but not in healthy controls.
Another possibility is that altered autonomic function in pregnant mothers may impact on the development of their offspring, as a form of developmental programming. Reduced HRV is associated with dysregulation of various allostatic systems, including glucose regulation, hypothalamic-pituitary-adrenal (HPA) axis function and inflammatory processes , all of which may program fetal development [38-44]. However, it is not clear whether the abnormal ANS function, reflected by lower HRV, is an important causative factor in these disorders, or simply the result of shared underlying processes.
Observed fearfulness in the children at 9 months was associated with their HRV at 2-4 months. It is possible that 9 month olds with higher fearfulness already had characteristics of a fearful temperament at 2-4 months, which could explain the association between reduced HRV and future fearful temperament as a persistence of these related factors. However, it is very challenging, if not impossible, to detect these psychological features in young infants [45,46]. Therefore, we were unable to determine whether reduced HRV came before the development of fearfulness or not, making it difficult to infer causation in this association. Nevertheless, reduced HRV in infancy may be an early risk marker for the development of psychological abnormalities, such as fearfulness, in later life. This observation makes an important contribution to the literature, which indicates strong associations between low HRV and fearful temperament (reflected in inhibited behavior, shyness, harm avoidance, anxiety and distress) [45,47,48]. Such behavioral characteristics have been linked to internalizing problems and psychiatric diagnoses [49,50]. Low HRV may indicate a vulnerability to the development of psychopathology, as suggested by our observation that infant’s HRV is related to later fearfulness.
Our study has a number of advantages, including a prospective design and longitudinal assessment; assessment of maternal HRV during the first 14 weeks of pregnancy, which is the period of greatest fetal developmental vulnerability to external influences; exclusion of women on antidepressants, which is an important consideration in studies of HRV; and use of an infant temperament (fearfulness) measure, which avoids bias in parental perceptions.
In summary, our study showed that pregnant women with a PAD had altered ANS function that was also found in their infants. Alterations in the offspring were associated with fearfulness in later infancy, suggesting transmission of a pro-anxiety phenotype from mothers to their children. Determination of the mechanisms of this transmission should be an important goal of future research. Our findings may have implications for identifying early risk factors in childhood for the development of psychological disorders in later life. Thus, future research might build on our findings to establish novel risk factors for psychopathology in childhood and use those factors to study the etiology of psychiatric disease in children.
The authors would like to thank the parents and babies for their participation in our study.
Conceived and designed the experiments: MB RO BB. Performed the experiments: MB RO. Analyzed the data: MB AK TO GM AJ. Contributed reagents/materials/analysis tools: MB AK TO RO GM AJ BB. Wrote the manuscript: MB AK TO RO GM AJ BB.
- 1. Kessler RC, Petukhova M, Sampson NA, Zaslavsky AM, Wittchen HU (2006) Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States. Int J Methods Psychiatr Res 21: 169-184. PubMed: 22865617.
- 2. Ross LE, McLean LM (2006) Anxiety disorders during pregnancy and the postpartum period: A systematic review. J Clin Psychiatry 67: 1285-1298. doi:https://doi.org/10.4088/JCP.v67n0818. PubMed: 16965210.
- 3. Alder WF, Bitzer W, Hosli W, Holzgreve W (2007) Depression and anxiety during pregnancy: A risk factor for obstetric; fetal and neonatal outcome. A critical review of the literature. J Matern Fetal Med 20: 189-209. doi:https://doi.org/10.1080/14767050701209560.
- 4. Thayer JF, Lane RD (2007) The role of vagal function in the risk for cardiovascular disease and mortality. Biol Psychol 74: 224-242. doi:https://doi.org/10.1016/j.biopsycho.2005.11.013. PubMed: 17182165.
- 5. Thayer JF, Yamamoto SS, Brosschot JF (2010) The relationship of autonomic imbalance; heart rate variability and cardiovascular disease risk factors. Int J Cardiol 141: 122-131. doi:https://doi.org/10.1016/j.ijcard.2009.09.543. PubMed: 19910061.
- 6. Kemp AH, Quintana DS, Gray MA, Felmingham KL, Brown K et al. (2010) Impact of depression and antidepressant treatment on heart rate variability: a review and meta-analysis. Biol Psychiatry 67: 1067-1074. doi:https://doi.org/10.1016/j.biopsych.2009.12.012. PubMed: 20138254.
- 7. Kemp AH, Quintana DS, Felmingham KL, Matthews S, Jelinek HF (2012) Depression, comorbid anxiety disorders, and heart rate variability in physically healthy, unmedicated patients: implications for cardiovascular risk. PLOS ONE 7: e30777. PubMed: 22355326.
- 8. Kemp AH, Quintana DS (In press) The Relationship Between Mental and Physical Health: Insights from the Study of Heart Rate Variability. Int J Psychophysiol.
- 9. Monk C, Sloan RP, Myers MM, Ellman L, Werner E et al. (2004) Fetal heart rate reactivity differs by women's psychiatric status: An early marker for developmental risk. J Am Acad Child Adolesc Psychiatry 43: 283-290. doi:https://doi.org/10.1097/00004583-200403000-00009. PubMed: 15076261.
- 10. DiPietro JA, Costigan KA, Pressman EK, Doussard-Roosevelt JA (2000) Antenatal origins of individual differences in heart rate. Dev Psychobiol 37: 221-228. PubMed: 11084603.
- 11. Dierckx B, Tulen JHM, van den Berg MP, Tharner A, Jaddoe VW et al. (2009) Maternal psychopathology influences infant heart rate variability: Generation R Study. Psychosom Med 71: 313-321. doi:https://doi.org/10.1097/PSY.0b013e318198a82c. PubMed: 19251873.
- 12. Pittig A, Arch JJ, Lam CWR, Craske MG (2013) Heart rate and heart rate variability in panic, social anxiety, obsessive-compulsive, and generalized anxiety disorders at baseline and in response to relaxation and hyperventilation. Int J Psychophysiol 87: 19-27. doi:https://doi.org/10.1016/j.ijpsycho.2012.10.012. PubMed: 23107994.
- 13. Blom H, Olsson E, M E, Serlachius E, Ericson M et al. (2010) Heart rate variability (HRV) in adolescent females with anxiety disorders and major depressive disorder. Acta Paediatr 99: 604-611. doi:https://doi.org/10.1111/j.1651-2227.2009.01657.x. PubMed: 20121706.
- 14. Hanson CS, Outhred T, Brunoni AR, Malhi GS, Kemp AH (2013) The impact of escitalopram on vagally mediated cardiovascular function to stress and the moderating effects of vigorous physical activity: a randomized controlled treatment study in healthy participants. Front Physiol 4: 259. PubMed: 24069000.
- 15. Friedman BH, Thayer JF (1998) Anxiety and autonomic flexibility: a cardiovascular approach. Biol Psychol 47: 243-263. doi:https://doi.org/10.1016/S0301-0511(97)00027-6. PubMed: 9564452.
- 16. Thayer JF, Friedman BH, Borkovec TD, Johnsen BH, Molina S (2000) Phasic heart period reactions to cued threat and nonthreat stimuli in generalized anxiety disorder. Psychophysiology 37: 361-368. PubMed: 10860413.
- 17. Sheehan DV, Lecrubier Y (2010) The Mini International Neuropsychiatric Interview Version 6.0 (MINI 6.0): Medical Outcomes System, Inc.
- 18. Van der Ploeg HM, Defares PB, Spielberger CD (1980) Handleiding bij de zelfbeoordelingsvragenlijst: Swets en Zeitlinger.
- 19. Vlemincx E, Taelman J, De Peuter S, Van Diest I, Van Den Bergh O (2011) Sigh rate and respiratory variability during mental load and sustained attention. Psychophysiology 48: 117-120. doi:https://doi.org/10.1111/j.1469-8986.2010.01043.x. PubMed: 20536901.
- 20. Taelman J, Vandeput S, Spaepen A, Huffel S, Sloten J et al. (2009) Influence of Mental Stress on Heart Rate and Heart Rate Variability. 4th European Conference of the International Federation for Medical and Biological Engineering: Springer Berlin Heidelberg. pp. 1366-1369.
- 21. Goedhart AD, Sluis SVD, Houtveen JH, Willemsen G, Geus EJD (2007) Comparison of time and frequency domain measures of RSA in ambulatory recordings. Psychophysiology 44: 203-215. doi:https://doi.org/10.1111/j.1469-8986.2006.00490.x. PubMed: 17343704.
- 22. Otte RA, Winkler I, Braeken MAKA, Stekelenburg JJ, van der Stelt O et al. (2013) Detecting interval-duration deviance in two-month-old infants. Biol Psychol 92: 315-322. doi:https://doi.org/10.1016/j.biopsycho.2012.09.009. PubMed: 23046905.
- 23. Goldsmith HH, Rothbart MK (1999) The laboratory temperament assessment battery (Locomotor Version 3.1). University of Wisconsin-Madison.
- 24. Aksan N, Kochanska G (2004) Links between systems of inhibition from infancy to preschool years. Child Dev 75: 1477-1490. doi:https://doi.org/10.1111/j.1467-8624.2004.00752.x. PubMed: 15369526.
- 25. Bergman K, Sarkar P, O’Connor TG, Modi N, Glover V (2007) Maternal stress during pregnancy predicts cognitive ability and fearfulness in infancy. J Am Acad Child Adolesc Psychiatry 46: 1454-1463. doi:https://doi.org/10.1097/chi.0b013e31814a62f6. PubMed: 18049295.
- 26. Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology (1996) Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use. Circulation 93: 1043-1065. doi:https://doi.org/10.1161/01.CIR.93.5.1043. PubMed: 8598068.
- 27. Benitez D, Gaydecki PA, Zaidi A, Fitzpatrick AP (2001) The use of the Hilbert transform in ECG signal analysis. Comput Biol Med 31: 399-399. doi:https://doi.org/10.1016/S0010-4825(01)00009-9. PubMed: 11535204.
- 28. Berntson GG, Quigley KS, Jang JF, Boysen ST (1990) An approach to artifact identification: application to heart period data. Psychophysiology 27: 586-598. PubMed: 2274622.
- 29. Corp IBM (2010) IBM SPSS Statistics for Windows, Version 19.0. Armonk, NY: IBM Corp.
- 30. Thoemmes F (2012) Propensity score matching in SPSS. Available: . http://arxiv.org/pdf/1201.6385.pdf. Accessed 30 September 2013.
- 31. Licht CMM, de Geus EJC, Zitman FG, Hoogendijk WJG, van Dyck R et al. (2008) Association between major depressive disorder and heart rate variability in the Netherlands Study of Depression and Anxiety (NESDA). Arch Gen Psychiatry 65: 1358-1358. doi:https://doi.org/10.1001/archpsyc.65.12.1358. PubMed: 19047522.
- 32. Rutter M (2002) Nature, nurture, and development: From evangelism through science toward policy and practice. Child Dev 73: 1-21. doi:https://doi.org/10.1111/1467-8624.00388. PubMed: 14717240.
- 33. Stern DN (2009) The first relationship: Infant and mother. Harvard University Press.
- 34. Weaver IC, Cervoni N, Champagne FA, D'Alessio AC, Sharma S et al. (2004) Epigenetic programming by maternal behavior. Nat Neurosci 7: 847-854. doi:https://doi.org/10.1038/nn1276. PubMed: 15220929.
- 35. Lee SH, Park GH, Kalinin VV (2011) Psychophysiological markers of anxiety disorders and anxiety symptoms. Anxiety Disorders: InTech. pp. 203-226.
- 36. Gatt JM, Nemeroff CB, Dobson-Stone C, Paul RH, Bryant RA et al. (2009) Interactions between BDNF Val66Met polymorphism and early life stress predict brain and arousal pathways to syndromal depression and anxiety. Mol Psychiatry 14: 681-695. doi:https://doi.org/10.1038/mp.2008.143. PubMed: 19153574.
- 37. Thayer JF, Sternberg E (2006) Beyond Heart Rate Variability. Ann N Y Acad Sci 1088: 361-372. doi:https://doi.org/10.1196/annals.1366.014. PubMed: 17192580.
- 38. Van den Bergh BR (2011) Developmental programming of early brain and behaviour development and mental health: a conceptual framework. Dev Med Child Neurol 53 Suppl 4: 19-23. doi:https://doi.org/10.1111/j.1469-8749.2011.04057.x. PubMed: 21950389.
- 39. Young JB (2002) Programming of sympathoadrenal function. Trends Endocrinol Metab 13: 381-385. doi:https://doi.org/10.1016/S1043-2760(02)00661-6. PubMed: 12367819.
- 40. Meyer U, Nyffeler M, Engler A, Urwyler A, Schedlowski M et al. (2006) The time of prenatal immune challenge determines the specificity of inflammation-mediated brain and behavioral pathology. J Neurosci 26: 4752-4762. doi:https://doi.org/10.1523/JNEUROSCI.0099-06.2006. PubMed: 16672647.
- 41. Matthews SG, Phillips DIW (2010) Minireview: transgenerational inheritance of the stress response: a new frontier in stress research. Endocrinology 151: 7-13. doi:https://doi.org/10.1210/en.2009-0916. PubMed: 19887563.
- 42. Lupien SJ, McEwen BS, Gunnar MR, Heim C (2009) Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat Rev Neurosci 10: 434-445. doi:https://doi.org/10.1038/nrn2639. PubMed: 19401723.
- 43. Van den Bergh BR, Mulder EJ, Mennes M, Glover V (2005) Antenatal maternal anxiety and stress and the neurobehavioural development of the fetus and child: links and possible mechanisms. A review. Neurosci Biobehav Rev 29: 237-258. doi:https://doi.org/10.1016/j.neubiorev.2004.10.007. PubMed: 15811496.
- 44. Räikkönen K, Seckl JR, Pesonen AK, Simons A, Van den Bergh BR (2011) Stress, glucocorticoids and liquorice in human pregnancy: programmers of the offspring brain. Stress 14: 590-603. PubMed: 21875300.
- 45. Kagan J, Izard CE (1982) Heart rate and heart rate variability as signs of a temperamental dimension in infants. Measuring emotions in infants and children. Cambridge University Press. pp. 38-66.
- 46. Rapee RM (2002) The development and modification of temperamental risk for anxiety disorders: prevention of a lifetime of anxiety. Biol Psychiatry 52: 947-957. doi:https://doi.org/10.1016/S0006-3223(02)01572-X. PubMed: 12437936.
- 47. Kagan J, Reznick JS, Snidman N (1987) Physiology and psychology of behavioral inhibition. Child Dev 58: 1459–1473.
- 48. Calkins SD, Swingler MM, Zentner M, Shiner RL (2012) Psychobiological measures of temperament in childhood. Handbook of temperament. The Guilford Press. pp. 229-247.
- 49. Degnan KA, Almas AN, Fox NA (2010) Temperament and the environment in the etiology of childhood anxiety. J Child Psychol Psychiatry 51: 497-517. doi:https://doi.org/10.1111/j.1469-7610.2010.02228.x. PubMed: 20158575.
- 50. Rettew DC, McKee L (2005) Temperament and its role in developmental psychopathology. Harv Rev Psychiatry 13: 14-27. doi:https://doi.org/10.1080/10673220590923146. PubMed: 15804931.