Skip to main content
Neuropsychiatric Disease and Treatment logoLink to Neuropsychiatric Disease and Treatment
. 2020 Jul 30;16:1853–1862. doi: 10.2147/NDT.S256465

Association of Pain Catastrophizing with Postnatal Depressive States in Nulliparous Parturients: A Prospective Study

Yanzhi Zeng 1, Chin Wen Tan 1,2, Rehena Sultana 3, Tze-Ern Chua 4,5, Helen Yu Chen 4,5, Alex Tiong Heng Sia 1,2, Ban Leong Sng 1,2,
PMCID: PMC7492715  PMID: 32982241

Abstract

Purpose

Postnatal depression (PND) is associated with maternal morbidity and socioeconomic burden. Recent studies have shown an association between pain catastrophizing, increased labor pain, and subsequent adverse postnatal adjustment; however, little is known on its role in PND development. We aimed to investigate the association between pain catastrophizing and probable PND.

Methods

Parturients planning to undergo epidural labor analgesia were recruited. Predelivery questionnaires, including the Pain Catastrophizing Scale (PCS) and Edinburgh Postnatal Depression Scale (EPDS), were administered during early labor. A phone survey at 5– 9 weeks postdelivery was conducted to determine postdelivery EPDS and Spielberger’s State–Trait–Anxiety Inventory scores. The primary outcome was a binary variable of postdelivery EPDS with cutoff of ≥10, whereas the secondary outcome was a continuous variable on increases in EPDS score.

Results

Probable PND (EPDS ≥10) occurred in 10.5% (95% CI 8.0%–13.5%, 55 of 525) of women who underwent epidural labor analgesia. We found that high pain catastrophizing (PCS ≥25) was associated with increased postdelivery EPDS scores (adjusted β estimate 0.36, 95% CI 0.15–0.57; p=0.0008), but did not meet significance for increased risk of probable PND (p=0.1770). Additionally, presence of breakthrough pain during epidural analgesia (adjusted β estimate 0.24, 95% CI 0.02–0.46; p=0.0306) and lower BMI at term (adjusted β estimate −0.04, 95% CI −0.07 to −0.01; p=0.0055) were associated with increased postdelivery EPDS scores.

Conclusion

No significant association was found between high pain catastrophizing and probable PND; however, high predelivery pain catastrophizing, presence of breakthrough pain during epidural analgesia, and lower BMI at term were associated with increased postdelivery EPDS scores. Further research will be needed to validate this association in the context of the risk of PND development.

Keywords: pain catastrophizing, breakthrough pain, epidural analgesia, postnatal depressive states

Introduction

Postnatal depression (PND) is a significant maternal mental health problem and associated with long term psychological and socioeconomic impact. The incidence of PND varies among studies depending on the classification, reporting, and study population. A meta-analysis of 59 studies on 12,810 subjects revealed that 10%–15% of parturients may experience PND within the first year after giving birth.1 In Singapore, the incidence of PND is about 8%–13%.2,3 PND is associated with adverse maternal and neonatal consequences, and in rare cases even suicide or infanticide.4

Gaudet et al found that parturients with greater perinatal pain had more frequent PND symptoms.5 Similarly, Eisenach et al found that the severity of acute postnatal pain, regardless of the mode of delivery and degree of physical trauma, is an important contributor to chronic pain and PND after childbirth.6 Psychological and biological factors may also contribute to PND, including pain severity, negative experiences during childbirth, underlying psychological vulnerabilities, analgesic techniques, and genetic susceptibility;7 however, their exact link with PND remains unclear.

Pain catastrophizing is an exaggerated negative mental set brought to bear during actual or anticipated painful experience, and comprises rumination, magnification, and helplessness.8 Ferber et al reported that postnatal catastrophizers had poorer postnatal physical recovery, higher incidence of maternity blues (transient change of mood in mothers during the first few days after delivery, characterized by weeping, mild depressive mood, anxiety, and lability of mood),9 and poorer postnatal social functioning, all of which were positively correlated with the degree of catastrophizing, rather than the actual intensity of labor pain.10 It has been shown that pain catastrophizing is positively associated with the fear of being overwhelmed by labor pain and the fear of pain during the insertion of an epidural needle during epidural labor analgesia.11 Various studies have demonstrated that a Pain Catastrophizing Scale (PCS) score of 30 and more is associated with clinically relevant pain catastrophizing in the general adult population.12,13 However, this cutoff is further lowered to 20–25 in parturients.10,14 Flink et al used 20 as a cutoff in an obstetric population, which reflected the median score of the whole group.14 Ferber et al has independently found that the whole-group median was 20–25 (25 when measured intrapartum and 20 when measured 2 days postpartum).10 Since PCS in our study was measured intrapartum, we found 25 to be the most suitable cutoff.

In this study, participants were grouped according to their PCS scores, defined as low (PCS <25) and high (PCS ≥25) pain catastrophizers. We investigated whether high predelivery pain catastrophizing was associated with the binary variable of postdelivery Edinburgh Postnatal Depression Scale (EPDS) scores (a cutoff of ≥10) as the primary outcome. We also investigated predelivery factors associated with increased changes in postdelivery EPDS scores as the secondary outcome, and also determined predelivery factors that were associated with high predelivery pain-catastrophizing status.

Methods

Patient Recruitment

This prospective cohort study was a secondary analysis of data collected from a clinical trial investigating the efficacy of different epidural delivery–maintenance regimens. The study was conducted between January 2015 and March 2019 in KK Women’s and Children’s Hospital, Singapore on parturients who received epidural analgesia for labor. The study protocol was developed according to the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines on reporting cohort studies. The study was reviewed and approved by the SingHealth Centralized Institutional Review Board, Singapore (SingHealth CIRB ref 2014/670/D or 2018/3128), and registered on ClinicalTrials.gov (NCT02278601) on October 26, 2014.

The study included nulliparous parturients aged 21–50 years, 36 gestational weeks or more, with a singleton fetus, American Society of Anesthesiologists’ physical status I and II, and in early labor (cervical dilation <5 cm) who had requested epidural labor analgesia. Parturients with multiple pregnancies, noncephalic fetal presentation, obstetric complications (eg, preeclampsia, premature rupture of membranes), contraindications to neuraxial blockade, had received parenteral opioids within 2 hours prior to initiation of epidural analgesia, or had suspected inadvertent dural puncture during initiation of epidural analgesia were excluded.

All epidurals utilized the B Braun Espocan set with a combined spinal–epidural technique using a conventional single interspace needle-through-needle approach. The spinal component was ropivacaine 2mg and fentanyl 15mcg and the epidural infusion solution 0.1% ropivacaine with 2µg/mL of fentanyl. Almost all cases (>99%) were done in the sitting position and utilized a midline approach. The clinical trial involved patients who were placed on patient-controlled epidural analgesia regimens with patient bolus of 5mL per bolus. Once the patient had received epidural labor analgesia and was comfortable, predelivery questionnaires were administered: the PCS, a validated self-reported questionnaire to evaluate the negative thought processes that one may have upon exposure to actual or anticipated pain or painful experiences; the EPDS, a ten-item self-reported questionnaire used as a screening tool for antenatal and PND, scored from 0 to 30, with ≥10 used to indicate clinically significant depressive symptoms15,16 (in our study, this was defined as probable PND and would thus encompass the range of PND states);17 Cohen’s Perceived Stress Scale (PSS), a ten-item validated psychometric instrument to quantify the perception of stress; and Spielberger’s State–Trait–Anxiety Inventory (STAI), a 40-item self-report tool that assesses transient anxiety (state) at the moment of scoring, the dispositional anxiety (trait), and anxiety in general. Parturients’ demographic, obstetric, and epidural analgesia data from medical records were also collected in this study. After patients had delivered, they were interviewed by the anesthetic team for assessment of overall satisfaction with epidural analgesia, as per routine clinical practice. A 20-minute phone survey was conducted at 5–9 weeks postdelivery to obtain postdelivery EPDS and STAI scores.

Statistical Analysis

Cohorts were defined as low and high pain-catastrophizing groups with PCF cutoffs of <25 and ≥25, respectively. The primary outcome was defined as EPDS score ≥10 at the postdelivery phone survey, and was treated as binary data with status “yes” or “no”. The primary objective was to evaluate whether high pain catastrophizing was associated with the binary variable of the EPDS score. No sample-size calculation was performed, as this was a secondary analysis of the primary trial.

Demographic, clinical, and anesthetic characteristics were summarized based on the group. Categorical data are summarized as frequency (proportion) and continuous data summarized as means± SD) or medians (ranges), whichever was appropriate. To find the association between pain catastrophizing and PND states, we used logistic regression. Quantitative associations between PND states and pain catastrophizing are reported as ORs with 95% CIs. We investigated the predelivery factors associated with postdelivery EPDS score at 5–9 weeks on thepostdelivery phone survey as continuous data (secondary outcome). We fitted a generalized linear model (GLM) for normal distribution, with an identity-link function for postdelivery EPDS scores. Univariate and multivariate GLMs for postdelivery EPDS scores were fitted to find associations between postdelivery EPDS scores and other potential confounding factors. Variables with p<0.05 in the univariate GLM were selected for the multivariate model. We used backward variable selection to decide on the final multivariate model. Quantitative associations from the GLM are reported as β estimates with 95% CIs. Significance was set at p<0.05, and all tests were two-tailed. SAS version 9.4 software (SAS Institute, Cary, NC, USA) was used for all analyses.

Results

We recruited 805 parturients in this study: 463 (57.5%) in the low and 342 (42.5%) in the high pain-catastrophizing groups (Figure 1). Among these, 152 (32.8% among low pain-catastrophizing group) and 135 (39.5% among high pain-catastrophizing group) were lost to follow-up. A total of 518 participants completed the 5- to 9-weeks postdelivery surveys. In this study, the overall prevalence of probable PND at 5–9 weeks postdelivery was found to be 10.5% (95% CI 8.0%–13.5%), with 9.0% (28 of 311) and 12.7% (26 of 204) in the low and high pain-catastrophizing groups respectively. We found no significant association between high pain catastrophizing and the binary variable of EPDS score at cutoff of ≥10 (p=0.1770).

Figure 1.

Figure 1

Study flowchart. Predelivery assessments State-Trait-Anxiety Inventory (STAI). Patients’ demographic, obstetric, and epidural analgesia data from medical records were also collected in this study. At 5–9 weeks postdelivery, EPDS and STAI scores were collected via phone survey.

Comparson of the low and high pain-catastrophizing groups (Tables 1 and 2) showed that there was no significant difference in demographic or obstetric characteristics, except age (30.0±4.1 years vs 29.3±4.5 years, p=0.0361) and duration of third stage of labor (4.8±5.7 minutes vs 6.6±16.4 minutes, p=0.0440). In addition, those in the high pain-catastrophizing group were more likely to be Indians (p=0.0490) or Malays (p=0.0004). We examined the association of epidural labor analgesia–related factors stratified by predelivery pain-catastrophizing total scores (Table 3). Compared to low pain catastrophizing group, high pain catastrophizing was associated with increased preblock pain scores on a numeric rating scale of 0–10 (6.7±2.6 vs 6.2±2.7, p=0.0094), more anesthetists required for epidural analgesia (p=0.0082), and presence of breakthrough pain (98 [28.7%] vs 95 [20.5%], p=0.0075). No significant differences were found between the high and low pain-catastrophizing groups for analgesia prior to receiving epidural analgesia (p=0.0709), number of attempts at epidural insertion (1.2±0.5 vs 1.2±0.5, p=0.7366), time taken for epidural insertion (8.1±5.7 minutes vs 7.4±4.8 minutes, p=0.0638), or post-block pain score of 0–10 (0.2±0.8 vs 0.2±0.8, p=0.7556). There were no epidural failures reported, as the trial recruited only those with successful epidural placement.

Table 1.

Demographic Characteristics (Stratification Based on Predelivery PCS Scores)

Low Pain-Catastrophizing Group
(PCS <25),
n=463
High Pain-Catastrophizing Group
(PCS ≥25),
n=342
p-value
Age (years) 30.0±4.1 29.3±4.5 0.0361
Race 0.0040
 Chinese 275 (59.4) 189 (55.3)
 Malay 61 (13.2) 32 (9.4)
 Indian 60 (13.0) 76 (22.2)
 Other 67 (14.5) 45 (13.2)
Weight (kg) 69.9±11.3 69.7±11.1 0.8288
Height (cm) 1.6±0.1 1.6±0.1 0.1541
BMI at term (kg/m2) 27.3±4.4 27.7±4.8 0.3505
ASA physical status 0.0928
 I 398 (86.0) 279 (81.6)
 II 65 (14.0) 63 (18.4)
Gravida 1.2±0.5 1.2±0.6 0.8827
Gestational age (weeks) 37.8±1.7 37.6±2.4 0.3212

Notes: Values expressed as means ± SD or n (%); p-values generated via χ2 tests for categorical variables or t-tests for continuous variables.

Abbreviations: ASA, American Society of Anesthesiologists; PCS, Pain Catastrophizing Scale.

Table 2.

Obstetric Characteristics (Stratification Based on Predelivery PCS Scores)

Low Pain-Catastrophizing Group
(PCS <25),
n=463
High Pain-Catastrophizing Group
(PCS ≥25),
n=342
p-value
Mode of labor onset 0.2025
 Spontaneous 241 (52.1) 158 (46.2)
 Prostin 141 (30.5) 123 (36.0)
 Artificial rupture of membranes 81 (17.5) 61 (17.8)
 Duration of second stage of labor (min) 58.6±59.2 65.4±65.1 0.1315
 Duration of third stage of labor (min) 4.8±5.7 6.6±16.4 0.0440
 Birth weight (g) 3120.3±366.3 3105.5±397.5 0.5880
 Birth length (cm) 49.2±2.0 49.0±1.9 0.1632
 Head circumference (cm) 33.6±1.3 33.5±1.2 0.2331
Sex 0.8338
 Male 247 (53.4) 185 (54.1)
 Female 216 (46.7) 157 (45.9)
 Apgar score (1 min) 9 (2 to 9) 9 (1 to 9) 0.0921
 Apgar score (5 min) 9 (3 to 9) 9 (1 to 9) 0.3287
 Placenta weight (g) 604.7±126.7 598.4±115.7 0.4681
Mode of delivery 0.3221
 Normal vaginal 254 (54.9) 204 (59.7)
 Instrumental (vacuum/forceps) 73 (15.8) 53 (15.5)
 Cesarean 136 (29.4) 85 (24.9)
Neonate resuscitation
 No 153 (33.1) 113 (33.0) 0.9989
 Suction 302 (65.2) 218 (63.7) 0.6634
 Bag and mask 2 (0.4) 6 (1.8) 0.0615
 Intubation 1 (0.2) 3 (0.9) 0.1872
Patient satisfaction (0–100)a 90.5±9.3 89.1±11.4 0.0711

Notes: Values expressed as means ± SD, medians (range), or n (%); p-values generated via χ2 tests for categorical variables or t-tests for continuous variables. aFor this variable, there were 28 (6.1%) missing data from the low pain–catastrophizing group and 23 (6.7%) missing data from the high pain-catastrophizing group.

Abbreviation: PCS, Pain Catastrophizing Scale.

Table 3.

Pain Characteristics (Stratification Based on Predelivery PCS Scores)

Low Pain Catastrophizing Group
(PCS <25),
n=463
High Pain Catastrophizing Group
(PCS ≥25),
n=342
p-value
Analgesia prior to receiving epidural analgesia 0.0709
 Nil 197 (46.7) 122 (39.1)
 Entonox 206 (48.8) 179 (57.8)
 Pethidine 19 (4.5) 11 (3.5)
 Preblock pain score (0–10)a 6.2±2.7 6.7±2.6 0.0094
Number of anesthetists 0.0082
 1 440 (95.0) 309 (90.3)
 2 21 (4.5) 33 (9.7)
 3 2 (0.4) 0 (0.0)
Number of attempts at epidural insertion 1.2±0.5 1.2±0.5 0.7366
Total time taken for epidural insertion (mins)b 7.4±4.8 8.1±5.7 0.0638
Postblock pain score (0–10) 0.2±0.8 0.2±0.8 0.7556
Breakthrough pain 95 (20.5) 98 (28.7) 0.0075
Required repeat procedure 5 (1.1) 4 (1.2) 1

Notes: Values expressed as means ± SD or n (%); p-values generated via χ2 test for categorical variables or t-tests for continuous variables. aFor this variable, there were 53 (11.5%) missing data from the low pain-catastrophizing group and 29 (8.5%) missing data from the high pain-catastrophizing group. bFor this variable, there were 15 (3.2%) missing data from the low pain catastrophizing group and nine (2.6%) missing data from the high pain-catastrophizing group.

Abbreviation: PCS, Pain Catastrophizing Scale.

We also investigated pain- and psychology-related measures in both low and high pain-catastrophizing groups (predelivery [EPDS, PCS, STAI, and PSS] and 5– 9 weeks postdelivery [EPDS and STAI]; Table 4]). In the high pain-catastrophizing group, all subcomponents of predelivery PCS (rumination, magnification, helplessness) were significantly greater than in the low pain-catastrophizing group (p<0.0001). Similarly, during the predelivery survey, the high pain-catastrophizing group had greater PSS (17.0±5.5 vs 14.3±5.4, p<0.0001), STAI (78.7±18.0 vs 69.6±15.4, p<0.0001), and EPDS (8.6±4.7 vs 6.5±3.9, p<0.0001) scores compared to the low pain-catastrophizing group. At 5–9 weeks postdelivery, STAI and EPDS scores had decreased from the predelivery period among the whole study population. Notably, the decrease in STAI (state anxiety — p=0.3498, trait anxiety — p=0.3889, overall anxiety — p=0.3053) and EPDS (p=0.8436) scores were greater among women in the high pain-catastrophizing group than the low pain-catastrophizing group; however, the differences were not statistically significant. Instead, the high pain-catastrophizing group still had higher scores on postdelivery anxiety (31.4±9.6 vs 28.7±8.4, p=0.0009), trait anxiety (34.2±10.1 vs 30.4±8.8, p<0.0001), overall anxiety (65.6±19.1 vs 59.2±16.2, p<0.0001), and postdelivery depressive symptoms (4.0±4.5 vs 2.9±3.9, p=0.0046).

Table 4.

Psychological Characteristics (Stratification Based on Predelivery PCS Scores)

Characteristics Low Pain-Catastrophizing Group
(PCS <25),
n=463
High Pain-Catastrophizing Group
(PCS ≥25),
n=342
p-value
Predelivery
 PSS (0–40) 14.3±5.4 17.0±5.5 <0.0001
 STAI — state anxiety (20–80) 35.1±9.1 39.0±10.3 <0.0001
 STAI — trait anxiety (20–80) 34.5±7.7 39.6±9.2 <0.0001
 STAI — total score (40–160) 69.6±15.4 78.7±18.0 <0.0001
 EPDS (0–30) 6.5±3.9 8.6±4.7 <0.0001
Postdelivery (5–9 weeks)
 STAI — state anxiety scorea 28.7±8.4 31.4±9.6 0.0009
 STAI — trait anxiety scorea 30.4±8.8 34.2±10.1 <0.0001
 STAI — total scorea 59.2±16.2 65.6±19.1 <0.0001
 EPDS (0–30)b 2.9±3.9 4.0±4.5 0.0046

Notes: Values expressed as means ± SD; p-values generated via t-tests. aFor these variables, there were 153 (33%) missing data from the low pain-catastrophizing group and 136 (39.8%) missing data from the high pain-catastrophizing group due to loss of follow-up. bFor this variable, there were 152 (32.8%) missing data from the low pain-catastrophizing group and 138 (40.4%) missing data from the high pain-catastrophizing group due to loss of follow-up.

Abbreviations: EPDS, Edinburgh Postnatal Depression Scale; PCS, Pain Catastrophizing Scale; PSS, Perceived Stress Scale; STAI, State–Trait–Anxiety Inventory.

Table 5 shows the univariate and multivariate GLM analysis investigating factors associated with postdelivery EPDS scores. Variables with p<0.05 in the univariate GLM model are shown in the tables. The univariate GLM model showed that parturients with lower BMI at term, increased number of attempts at epidural insertion, longer time taken for epidural insertion, presence of breakthrough pain, increased predelivery PCS total score, and all subcomponent (rumination, magnification, helplessness), predelivery PSS, predelivery STAI (state, trait, total), and predelivery EPDS scores were all associated with higher risk of increased postdelivery EPDS score. Specifically, the high pain-catastrophizing group was associated with increased postdelivery EPDS scores (unadjusted β estimate 0.32, 95% CI 0.11–0.53; p=0.0033). Upon GLM multivariate logistic regression (Table 5), three factors were identified as independent associated factors for increased postdelivery EPDS score: increased predelivery pain catastrophizing (adjusted β estimate 0.36, 95% CI 0.15–0.57; p=0.0008), presence of breakthrough pain during epidural analgesia (adjusted β estimate 0.24, 95% CI 0.02–0.46; p=0.0306), and lower BMI at term (adjusted β estimate −0.04, 95% CI −0.07 to −0.01; p=0.0055).

Table 5.

Univariate and Multivariate Generalized Linear Model to Find Factors Associated with EPDS Scores

Unadjusted β Estimate (95% CI) p-value Adjusted β Estimate (95% CI) p-value
BMI at term (kg/m2) −0.04 (−0.07 to −0) 0.0277 −0.04 (−0.07, −0.01) 0.0055
Number of attempts for epidural insertion 0.21 (0.07–0.36) 0.0036
Total time taken for epidural insertion 0.02 (0–0.03) 0.0141
Breakthrough pain (yes) 0.25 (0.03–0.48) 0.0273 0.24 (0.02, 0.46) 0.0306
PCS — rumination (predelivery) 0.03 (0.01–0.06) 0.0117
PCS — magnification (predelivery) 0.07 (0.04–0.11) <0.0001
PCS — helplessness (predelivery) 0.03 (0.01–0.04) 0.0015
PCS — total score (predelivery) 0.02 (0.01–0.02) 0.0005
PCS — total score ≥25 (predelivery) 0.32 (0.11–0.53) 0.0033 0.36 (0.15, 0.57) 0.0008
PSS (predelivery) 0.06 (0.04–0.08) <0.0001
STAI — state anxiety (predelivery) 0.03 (0.02–0.04) <0.0001
STAI — trait anxiety (predelivery) 0.04 (0.03–0.05) <0.0001
STAI — total score (predelivery) 0.02 (0.01–0.02) <0.0001
EPDS (predelivery) 0.09 (0.07–0.11) <0.0001

Note: Parameters with p<0.05 in the univariate generalized linear model were included in this table.

Abbreviations: EPDS, Edinburgh Postnatal Depression Scale; PCS, Pain Catastrophizing Scale; PSS, Perceived Stress Scale; STAI, State–Trait–Anxiety Inventory.

Discussion

In this Asian-population cohort study, high predelivery pain-catastrophizing (PCS ≥25) was not associated with probable PND, as defined by EPDS ≥10, at 5–9 weeks postdelivery. However, increased predelivery pain catastrophizing (PCS ≥25), presence of breakthrough pain during epidural analgesia, and a lower BMI at term were associated with increased postdelivery EPDS scores.

The effect of pain catastrophizing has been investigated in the setting of labor, where increased PCS scores were positively associated with fear of overwhelming labor pain and pain avoidance during delivery.11 Flink et al further classified parturients as catastrophizers and noncatastrophizers based on a PCS cutoff of 20, and showed that the former group had greater anticipated and actual pain and poorer physical recovery; however, they did not collect data on psychological factors, eg, anxiety and depressive symptoms before or after delivery.14 Similar studies also demonstrated a positive correlation between high pain catastrophizing and pain in the perinatal period;18,19 however, thus far only one study has reported the effect of high pain catastrophizing on maternity blues at 2 days after delivery.10 Interestingly, one study on 114 parturients revealed that high pain catastrophizing was not associated with usage of epidural analgesia, probably due to equivocal perception toward epidural analgesia in catastrophizers.11 Our findings of high predelivery pain catastrophizing being associated with increased postdelivery EPDS scores suggest that negative expectations of labor pain are associated with greater depressive symptoms. In several pain conditions (eg, chronic low-back pain, neck pain, or fibromyalgia), the use of cognitive behavioral therapy, acceptance and commitment therapy, or multimodal treatment comprising cognitive behavioral therapy and physical therapy were found to provide modest benefits to patients with high pain catastrophizing.20 Future research is warranted to develop treatment for high pain-catastrophizing parturients, especially after delivery.

Predelivery PCS scores were collected upon successful initiation of epidural analgesia, and no statistical differences were found between the high and low pain-catastrophizing groups on rate of epidural failure, breakthrough pain, or repeat procedures. It was however noted that in the high pain-catastrophizing group, a second anesthetist might be called upon to assist more frequently, but the number of attempts and total time taken for insertion did not vary between high and low pain-catastrophizing groups. Scores on postdelivery questionnaires were taken after the epidural analgesia–delivery process, presence of breakthrough pain, or epidural failures, but these was analyzed as per an intention-to-treat analysis, and hence the groups were analyzed on predelivery PCS scores only.

Breakthrough pain refers to pain occurring after the institution of epidural analgesia that requires additional unscheduled intervention, eg, local anesthetic solution or opioid topups.21 Several studies have reported that the requirement for repeated supplemental medication is associated with longer duration of analgesia, posterior fetal presentation at birth, and cesarean or instrumental delivery.22,23 Likewise, Hess et al demonstrated that nulliparity, heavier fetal weight, epidural catheter placement during early cervical dilation, and use of epidural analgesia, as opposed to combined spinal–epidural analgesia, were independent predictors for breakthrough pain during labor.24 To our knowledge, this is the first study reporting that presence of breakthrough pain is associated with increased postdelivery EPDS scores. Eisenach et al demonstrated that those who experienced severe acute pain within 36 hours postdelivery had triple the risk of developing PND of those who had mild postdelivery pain.6 Ding et al showed that the use of epidural analgesia was associated with a decreased risk of PND compared with no epidural analgesia; however, the association of labor-pain intensity and PND intensity andPND states was not assessed.25 It has been shown that term pregnancy confers increased pain tolerance, especially during the active phase of labor.26,27 In this study, we found no significant association between preblock pain scores and postdelivery EPDS scores. We postulate that high pain-catastrophizing patients could be more likely to exhibit significant discomfort at the point of initiation of epidural analgesia, and the primary anesthetist would have a lower threshold to seek help if any difficulty were faced. However, we found there was no increased difficulty in this group, as evidenced by the similar time to perform epidural analgesia compared with the low pain-catastrophizing group. It is also possible that patients in the high pain-catastrophizing group would have a lower threshold to seek help for pain, hence the higher occurrence of breakthrough pain.

The association between BMI and general depression has been investigated,28,29 but there have been mixed results on the relationship between prepregnancy BMI and postnatal mood symptoms.30,31,32 For instance, Silverman et al reported that a U-shaped association was found between first-trimester BMI extremes (BMI <18.5 or BMI >35) and PND.30 However, that study did not determine a causal link, and this observation may be attributed to other factors associated with obesity, such as family history, medical history, and environmental effects. Within the healthy nulliparous parturients in our study, we found that lower BMI at term was associated with greater postdelivery EPDS scores, which could be reflective of the likelihood of the depressive state having been present antenatally.33 Avalos et al showed that persistent poor intake, a classical feature of antenatal depression, can result in low BMI, which in turn can affect fetal development.34 Related evidence from a large Singaporean perinatal cohort on adverse neonatal outcomes suggested a relationship with reduced birth weight and antenatal depression.35

Our univariate analysis showed that both age and duration of the third stage of labor were significantly associated with increased probability of PND (EPDS ≥10); however, such significance was not demonstrated on multivariate analysis, implying that these factors might be potential confounders for our suggested model. Those in the high pain-catastrophizing were more likely to be Indians or Malays. Previous research has shown that Indian and Malay patients who underwent Cesarean delivery reported higher pain and used more morphine than Chinese; however, this is unknown in patients undergoing vaginal delivery.36 It is possible that differences in culture and perceptions of the birth process may contribute to the findings, though future research is warranted.

There are some limitations to this study. Firstly, the cutoff for PCS scores varies by ethnicity or sociocultural and linguistic factors,10 and hence different PCS cutoffs should be explored and validated in other populations. Additionally, it has been reported that Asians may have different perceptions and attitudes toward pain compared with individuals from other regions and ethnic groups.37 Secondly, this study included only healthy nulliparous parturients. It is possible that nulliparous parturients may have different psychological profiles, perspectives, and expectations about the delivery process and postdelivery management from multiparous parturients. This in turn could possibly affect the degree of pain catastrophizing, depressive symptoms, and ability to cope after delivery. Thirdly, we recruited only parturients who requested epidural analgesia, and outcomes may differ from parturients who did not receive epidural analgesia. Parturients who did not opt for epidural analgesia may have different demographic backgrounds in terms of sociocultural beliefs, pain tolerance, and expectations, all of which could contribute to mental health status, and these effects were not investigated. The inclusion criteria of the primary trial on recruiting those having nulliparous early labor and with epidural inserted may have limited the applicability of the findings to a wider laboring population. However, this design also allowed a more homogeneous population, so as to investigate the true effects of pain catastrophizing and other risk factors. Furthermore, as this study was a secondary analysis of a clinical trial, a priori sample-size calculation was not performed. Finally, we acknowledge that changes in EPDS scores may not have direct clinical significance with regard to PND. Affonso et al used effect-size estimates to determine that EPDS of 4 points or more was considered a “large” change, whereas 2–3 points was a “medium” change.38 Further mathematical calculation on the reliable-change index to measure clinical significance showed that a 4-point change was needed to be 95% confident that a real change had occurred in the individual.39 In our study, a statistically significant 2-point difference in predelivery PCS scores between the study groups allowed the interpretation of when patients “on average” had lower depressive symptoms in the low pain-catastrophizing group than the high pain-catastrophizing group; however, this may not allow further interpretation on clinical significance of how many women showed lower depressive symptoms in each group. Future research is needed to verify the clinical significance of our findings.

Conclusion

In this study, we showed that high pain catastrophizing was not itself associated with probable PND 5–9 weeks after delivery. However, high predelivery pain catastrophizing, lower BMI at term, and the presence of breakthrough pain during epidural analgesia were associated with increased EPDS scores 5–9 weeks after delivery. This suggests that pain severity and pain vulnerability have an important association with increased depressive symptoms and may contribute to PND states. Prospective studies to validate our findings are needed to confirm the impact of the proposed association model. Future research will also evaluate the usefulness of this model to be implemented for risk stratification and early interventional therapy to reduce PND and PND states.

Acknowledgments

We would like to thank Ms Agnes Teo (Senior Clinical Research Coordinator), Yvonne Yong (Senior Clinical Research Coordinator), and Denise Anne (Clinical Research Coordinator) for their administrative support in this work.

Funding Statement

This work was supported by funding from a National Medical Research Council Clinical Trials Grant — Investigator-Initiated Trials (CTG13feb013). The aforementioned sponsor was not involved in the study activities.

Abbreviations

ASA, American Society of Anesthesiologists; EPDS, Edinburgh Postnatal Depression Scale; GLM, generalized linear model; HPA, hypothalamic–pituitary–adrenal; NRS, numeric rating scale; PCS, Pain Catastrophizing Scale; PND, postnatal depression; PSS, Perceived Stress Scale; RCI, Reliable-Change Index; ROC, receiver-operating characteristic; STAI, State–Trait−Anxiety Inventory; STROBE, Strengthening Reporting of Observational Studies in Epidemiology.

Data-Sharing Statement

The data sets generated and analyzed in this work are available for anyone who wishes to access the data by contacting the corresponding author.

Ethics Approval and Informed Consent

The study was approved by the SingHealth Centralized Institutional Review Board, Singapore (SingHealth CIRB reference 2014/670/D or 2018/3128) and registered on ClinicalTrials.gov (NCT02278601) on October 26, 2014. The authors declare that all recruited patients provided informed consent and that this work was conducted in accordance with the Declaration of Helsinki.

Consent for Publication

All patients provided informed consent on the use of their deidentified data for publication purpose.

Author Contributions

Yanzhi Zeng and Chin Wen Tan contributed equally to manuscript preparation. All authors contributed to the study design, data analysis and discussion, drafting and/or revising the manuscript. All authors approved the final version of the manuscript and agree to be accountable for all aspects of this work.

Disclosure

All authors report no conflicts of interest in this work.

References

  • 1.O’hara MW, Swain AM. Rates and risk of postpartum depression—a meta-analysis. Int Rev Psychiatry. 1996;8(1):37–54. doi: 10.3109/09540269609037816 [DOI] [Google Scholar]
  • 2.Suhitharan T, Pham TPT, Chen H, et al. Investigating analgesic and psychological factors associated with risk of postpartum depression development: a case–control study. Neuropsychiatr Dis Treat. 2016;12:1333. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Helen C. Addressing maternal mental health needs in Singapore. Psychiatr Serv. 2011;62(1):102. doi: 10.1176/ps.62.1.pss6201_0102 [DOI] [PubMed] [Google Scholar]
  • 4.Esscher A, Essen B, Innala E, et al. Suicides during pregnancy and 1 year postpartum in Sweden, 1980–2007. Br J Psychiatry. 2016;208(5):462–469. doi: 10.1192/bjp.bp.114.161711 [DOI] [PubMed] [Google Scholar]
  • 5.Gaudet C, Wen SW, Walker MC. Chronic perinatal pain as a risk factor for postpartum depression symptoms in Canadian women. Can J Public Health. 2013;104(5):e375–e387. doi: 10.17269/cjph.104.4029 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Eisenach JC, Pan PH, Smiley R, Lavand’homme P, Landau R, Houle TT. Severity of acute pain after childbirth, but not type of delivery, predicts persistent pain and postpartum depression. Pain. 2008;140(1):87–94. doi: 10.1016/j.pain.2008.07.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Halbreich U. Postpartum Disorders: Multiple Interacting Underlying Mechanisms and Risk Factors. 2005. [DOI] [PubMed] [Google Scholar]
  • 8.Sullivan MJ, Bishop SR, Pivik J. The pain catastrophizing scale: development and validation. Psychol Assess. 1995;7(4):524. doi: 10.1037/1040-3590.7.4.524 [DOI] [Google Scholar]
  • 9.Kennerley H, Gath D. Maternity blues: I. Detection and measurement by questionnaire. Br J Psychiatry. 1989;155(3):356–362. doi: 10.1192/bjp.155.3.356 [DOI] [PubMed] [Google Scholar]
  • 10.Ferber SG, Granot M, Zimmer EZ. Catastrophizing labor pain compromises later maternity adjustments. Am J Obstet Gynecol. 2005;192(3):826–831. doi: 10.1016/j.ajog.2004.10.589 [DOI] [PubMed] [Google Scholar]
  • 11.Van den Bussche E, Crombez G, Eccleston C, Sullivan MJ. Why women prefer epidural analgesia during childbirth: the role of beliefs about epidural analgesia and pain catastrophizing. Eur J Pain. 2007;11(3):275–282. doi: 10.1016/j.ejpain.2006.03.002 [DOI] [PubMed] [Google Scholar]
  • 12.Osman A, Barrios FX, Gutierrez PM, Kopper BA, Merrifield T, Grittmann L. The pain catastrophizing scale: further psychometric evaluation with adult samples. J Behav Med. 2000;23(4):351–365. doi: 10.1023/A:1005548801037 [DOI] [PubMed] [Google Scholar]
  • 13.Kortlever JT, Janssen SJ, van Berckel MM, Ring D, Vranceanu AM. What is the most useful questionnaire for measurement of coping strategies in response to nociception? Clin Orthop Relat Res. 2015;473(11):3511–3518. doi: 10.1007/s11999-015-4419-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Flink IK, Mroczek MZ, Sullivan MJ, Linton SJ. Pain in childbirth and postpartum recovery–the role of catastrophizing. Eur J Pain. 2009;13(3):312–316. doi: 10.1016/j.ejpain.2008.04.010 [DOI] [PubMed] [Google Scholar]
  • 15.Wisner KL, Parry BL, Piontek CM. Postpartum depression. N Engl J Med. 2002;347(3):194–199. doi: 10.1056/NEJMcp011542 [DOI] [PubMed] [Google Scholar]
  • 16.Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression: development of the 10-item Edinburgh postnatal depression scale. Br J Psychiatry. 1987;150(6):782–786. doi: 10.1192/bjp.150.6.782 [DOI] [PubMed] [Google Scholar]
  • 17.Chen H, Wang J, Ch’ng YC, Mingoo R, Lee T, Ong J. Identifying mothers with postpartum depression early: integrating perinatal mental health care into the obstetric setting. ISRN Obstet Gynecol. 2011;2011:1–7. doi: 10.5402/2011/309189 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Olsson C, Buer N, Holm K, Nilsson-Wikmar L. Lumbopelvic pain associated with catastrophizing and fear-avoidance beliefs in early pregnancy. Acta Obstet Gynecol Scand. 2009;88(4):378–385. doi: 10.1080/00016340902763210 [DOI] [PubMed] [Google Scholar]
  • 19.Soares ADS, de Menezes Couceiro TC, Lima LC, Flores FLL, Alcoforado EMB, de Oliveira Couceiro Filho R. Association of pain catastrophizing with the incidence and severity of acute and persistent perineal pain after natural childbirth: longitudinal cohort study. Braz J Anesthesiol. 2013;63(4):317–321. doi: 10.1016/j.bjane.2012.12.001 [DOI] [PubMed] [Google Scholar]
  • 20.Schütze R, Rees C, Smith A, Slater H, Campbell JM, O’Sullivan P. How can we best reduce pain catastrophizing in adults with chronic noncancer pain? A systematic review and meta-analysis. J Pain. 2018;19(3):233–256. doi: 10.1016/j.jpain.2017.09.010 [DOI] [PubMed] [Google Scholar]
  • 21.Goodman P, Mackey MC, Tavakoli AS. Factors related to childbirth satisfaction. J Adv Nurs. 2004;46(2):212–219. doi: 10.1111/j.1365-2648.2003.02981.x [DOI] [PubMed] [Google Scholar]
  • 22.Le Coq G, Ducot B, Benhamou D. Risk factors of inadequate pain relief during epidural analgesia for labour and delivery. Can J Anaesth. 1998;45(8):719. doi: 10.1007/BF03012140 [DOI] [PubMed] [Google Scholar]
  • 23.Hess PE, Pratt SD, Soni AK, Sarna MC, Oriol NE. An association between severe labor pain and cesarean delivery. Anesth Analg. 2000;90(4):881–886. doi: 10.1213/00000539-200004000-00020 [DOI] [PubMed] [Google Scholar]
  • 24.Hess PE, Pratt SD, Lucas TP, et al. Predictors of breakthrough pain during labor epidural analgesia. Anesth Analg. 2001;93(2):414–418. [DOI] [PubMed] [Google Scholar]
  • 25.Ding T, Wang D-X, Qu Y, Chen Q, Zhu S-N. Epidural labor analgesia is associated with a decreased risk of postpartum depression: a prospective cohort study. Anesth Analg. 2014;119(2):383–392. doi: 10.1213/ANE.0000000000000107 [DOI] [PubMed] [Google Scholar]
  • 26.Carvalho B, Angst MS, Fuller AJ, Lin E, Mathusamy AD, Riley ET. Experimental heat pain for detecting pregnancy-induced analgesia in humans. Anesth Analg. 2006;103(5):1283–1287. doi: 10.1213/01.ane.0000239224.48719.28 [DOI] [PubMed] [Google Scholar]
  • 27.Ohel I, Walfisch A, Shitenberg D, Sheiner E, Hallak M. A rise in pain threshold during labor: a prospective clinical trial. Pain. 2007;132:S104–S108. doi: 10.1016/j.pain.2007.05.007 [DOI] [PubMed] [Google Scholar]
  • 28.Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220–229. doi: 10.1001/archgenpsychiatry.2010.2 [DOI] [PubMed] [Google Scholar]
  • 29.De Wit LM, Van Straten A, Van Herten M, Penninx BW, Cuijpers P. Depression and body mass index, a u-shaped association. BMC Public Health. 2009;9(1):14. doi: 10.1186/1471-2458-9-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Silverman ME, Smith L, Lichtenstein P, Reichenberg A, Sandin S. The association between body mass index and postpartum depression: a population-based study. J Affect Disord. 2018;240:193–198. doi: 10.1016/j.jad.2018.07.063 [DOI] [PubMed] [Google Scholar]
  • 31.LaCoursiere DY, Baksh L, Bloebaum L, Varner MW. Maternal body mass index and self-reported postpartum depressive symptoms. Matern Child Health J. 2006;10(4):385–390. doi: 10.1007/s10995-006-0075-1 [DOI] [PubMed] [Google Scholar]
  • 32.Krause KM, Østbye T, Swamy GK. Occurrence and correlates of postpartum depression in overweight and obese women: results from the active mothers postpartum (AMP) study. Matern Child Health J. 2009;13(6):832. doi: 10.1007/s10995-008-0418-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Evans J, Heron J, Lewis G, Araya R, Wolke D. Negative self-schemas and the onset of depression in women: longitudinal study. Br J Psychiatry. 2005;186(4):302–307. doi: 10.1192/bjp.186.4.302 [DOI] [PubMed] [Google Scholar]
  • 34.Avalos LA, Caan B, Nance N, et al. Prenatal depression and diet quality during pregnancy. J Acad Nutr Diet. 2020;120(6):972–984. doi: 10.1016/j.jand.2019.12.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Lim HA, Chua T-E, Malhotra R, et al. Identifying trajectories of antenatal depression in women and their associations with gestational age and neonatal anthropometry: a prospective cohort study. Gen Hosp Psychiatry. 2019;61:26–33. doi: 10.1016/j.genhosppsych.2019.09.001 [DOI] [PubMed] [Google Scholar]
  • 36.Tan E-C, Lim Y, Teo Y-Y, Goh R, Law H-Y, Sia AT. Ethnic differences in pain perception and patient-controlled analgesia usage for postoperative pain. J Pain. 2008;9(9):849–855. doi: 10.1016/j.jpain.2008.04.004 [DOI] [PubMed] [Google Scholar]
  • 37.Watson PJ, Latif RK, Rowbotham DJ. Ethnic differences in thermal pain responses: a comparison of South Asian and White British healthy males. Pain. 2005;118(1–2):194–200. doi: 10.1016/j.pain.2005.08.010 [DOI] [PubMed] [Google Scholar]
  • 38.Affonso DD, De AK, Horowitz JA, Mayberry LJ. An international study exploring levels of postpartum depressive symptomatology. J Psychosom Res. 2000;49(3):207–216. doi: 10.1016/S0022-3999(00)00176-8 [DOI] [PubMed] [Google Scholar]
  • 39.Matthey S. Calculating clinically significant change in postnatal depression studies using the Edinburgh postnatal depression scale. J Affect Disord. 2004;78(3):269–272. doi: 10.1016/S0165-0327(02)00313-0 [DOI] [PubMed] [Google Scholar]

Articles from Neuropsychiatric Disease and Treatment are provided here courtesy of Dove Press

RESOURCES