Short abstract
A large body of animal and human laboratory research has linked social interaction and support to pain perception, with a possible role for the neuropeptide oxytocin as a neuroendocrine mediator. However so far, it has been unclear whether these effects translate to ecologically valid everyday life behavior and pain perception. In a randomized placebo-controlled study, a standard suction blister skin wound was induced to N = 80 romantic couples (N = 160 individuals). Couples then received intranasal oxytocin or placebo twice daily and were either instructed to perform a positive social interaction (partner appraisal task, PAT) once in the laboratory and two times during the following five days, or not. During these days, all participants reported their subjective pain levels multiple times a day using ecologically momentary assessment. Results from hierarchical linear modeling suggest that pain levels within the couples were inter-related. In men, but not in women, oxytocin reduced pain levels. Women reported lower pain levels in the group of positive social interaction, while this effect did not show in men. These results suggest that intranasal oxytocin might have sex-specific effects with pain reducing effects in men but the opposite effects in women. In contrast, especially women benefit from positive interaction in terms of dampened pain levels after positive interaction. The results add to the evidence for health-beneficial effects of positive couple interaction and point to underlying neuroendocrine mechanisms in everyday life pain specifically. The sex-specific effects, in particular, may have implications for psychopharmacological treatment of pain in men and women.
Keywords: Suction blister wounds, couples, oxytocin, ecological momentary assessment, partner appraisal task
Introduction
Social interactions with significant others have a profound impact on our ability to cope with emotional and physical distress.1,2 Being married or living in a committed relationship appears to be one of the most powerful sources of social support in humans.3 In line with this, emerging evidence suggests that the presence of and affective interaction with the romantic partner can reduce responses to acute painful stimuli.4
With a focus on the underlying psychobiological mechanisms, a large body of research has linked the neuropeptide oxytocin (OT) to social attachment behavior, such as couple interactions as well as pain perception. Several reviews on animal studies suggest that OT impacts specific brain regions which are involved in fear processing and attachment behavior (e.g., amygdala and insula5), as well as stress and pain responses.6–8 Recent experimental studies confirmed these results to be applicable to humans by showing that a single dose of intranasally administered OT can affect stress regulation and prosocial behavior in the laboratory.9,10 However, while reviews highlight the potential positive therapeutic impact of exogenous OT on pain patients,11–13 studies with healthy men and women, subjected to experimentally induced pain found mixed results: Inconsistent reports ranging from analgesic effects, pain-empathy effects, placebo-effects, and no effects at all, might in part be explained by the different methods of pain induction, namely cold pressure, electrodes, heat stimuli, and Quantitative Sensory Testing (QST).14–17 To date, no study has investigated the effects of repeated OT administration or OT on pain perception in everyday life.
Social safety cues, such as viewing the face or feeling the touch of the own romantic partner,4,18 have been shown to reduce pain experiences in women, an effect which was enhanced by intranasal OT.19 However, studies on the effects of affective partner contact in chronic pain patients (particularly women) have found mixed results with decreased,20–22 but also increased pain to solicitous behavior from the partner.23 This suggests that affective couple behavior has differential effects with the potential to work either as a distractor and shift attention away from pain perception or as an intensifier when related to pain expression. How OT might be involved in either effects or both has not been investigated yet. One important moderating factor for the effects of OT and social interaction on pain perception seems to be sex. Numerous studies found sex to be a differentiating factor for endogenous OT variability24 as well as tolerance to experimentally induced pain.25,26
With the aim to translate the existing laboratory data on OT and couple interaction to pain perception in real life, we investigated the effects of repeated long-term OT administration on pain in couples’ everyday life using an ecological momentary assessment (EMA) approach. Specifically, this study was designed to investigate the beneficial effects of intranasal OT and instructed positive couple interaction on momentary pain levels following the application of standard small blister wounds to the skin. Based on previous findings on co-regulation in couples or interacting dyads,27–29 we expected the perceived pain to co-vary stronger within actual couples in comparison to randomly scrambled opposite-sex dyads.
Methods
Participants and setting
Eighty heterosexual couples, women mean aged 26.65 (standard deviation (SD) 4.67) years, who had been married or cohabiting with a male partner mean aged 28.65 (SD 5.18) years for at least 12 months at the time of the study, participated in a clinical trial on oxytocin, couple interaction, and wound healing at University of Zurich, Switzerland (more information: clinicaltrials.gov, identifier NCT01594775). Couples were recruited via flyers, information brochures, internet ads, mailing lists of the University of Zurich, and social media. Inclusion criteria comprised being between 21 and 45 years old, rather exclusively dating with a relationship duration between 1 and 15 years, and sharing the same household. Participants were excluded if they had children, were currently pregnant, had a current or chronic physical or psychiatric illness (based on self-report during an initial phone contact), or currently used medication (except for hormonal contraceptives) or drugs (no alcohol intake on a daily basis, or smoking more than five cigarettes a day). Women not using hormonal contraception (N = 40) were studied during the early follicular phase of the menstrual cycle in order to minimize effects of the cycle on subjective and endocrine outcomes. All participants gave written informed consent. The study protocol was approved by the ethics committee of the Canton of Zurich, and the study was monitored by the Clinical Trials Center, Zurich and conducted in accordance with the Declaration of Helsinki.
Each couple received 500 CHF for study completion. Couples were randomized into four groups: OT treatment (double blind) and instructed positive interaction (partner appraisal task, PAT; N = 20 couples), OT treatment and no interaction instruction (N = 20 couples), placebo and instructed positive interaction (N = 21 couples), and placebo and no interaction instruction (N = 19 couples). Based on a pre-study phone interview, couples were stratified with half of the women in each group using hormonal contraception, the other half were naturally cycling.
Procedure
After inclusion and exclusion criteria had been checked during the initial phone contact, couples were invited to a first session at the laboratory. During this first laboratory appointment, participants provided urine samples to rule out drug consumption and pregnancy and completed electronic questionnaires to assess baseline individual and relationship criteria.
Four standard blister wounds were applied to the participants’ inner arm according to established methods.30,31 First, the areas to be blistered were shaved and cleaned. The blistering apparatus was attached to the arm and then employed a combination of suction and heat to generate small blisters. It took approximately 60 min to raise four 0.7 cm blisters in parallel (see Figure 1). A graduate student in medicine or medical doctor constantly monitored the blistering and the participants’ reaction during this time. After blistering, the graduate student extracted the wound liquid from two of the four blisters and separated the upper skin layer of the dermal–epidermal junction. Blister roofs were removed using sterile surgical instruments and the blistered sites were covered using sterile bandage. Twenty-four hours later, study participants came back to the lab, in order to have the two remaining blister roofs removed and wound liquid extracted. Wounds were then covered with a hydrocolloid band aid. Patients were told to keep the blistered areas covered for three days and then to attach a new plaster. Participants reported a sensation of tingling and warmth, and some mild burning and/or pain associated with blister production but no severe pain.
Figure 1.
Application of blister wounds.
After wound application, participants self-administered 24 IU OT nasal spray (Syntocinon®, Novartis, Switzerland, 3 puffs per nostril × 4 IU per puff) or placebo. They were then instructed to self-administer the nasal spray at two times in the evening (at around 8 and 12 h after waking up) during the following five days. Participants were advised to administer two puffs in each nostril (2 × 2 × 4 IU = 32 IU) per day. The placebo contained all same ingredients as the OT spray except for OT itself.
The positive interaction condition (partner appraisal task, PAT) was conceptualized as an instructed positive appraisal of the relationship and personal characteristics of each partner. With this aim, couples received a list of 23 topics, which can characterize romantic relationships (e.g., trust, planning of joint activities, social support) and were asked to discuss these topics with regard to their own relationship. Couples were given 10 min to rate each of these topics on a four-point Likert scale (0 = does not apply to our relationship, 4 = is a frequent/important aspect in our relationship) and to amend further positive aspects, in case any deemed them missing in the list. When leaving the lab, couples were instructed to use and discuss the list at two other times during the coming week and to add positive points, if any came to mind. In the control condition, couples did not receive any specific instruction on how to interact with each other during the following week.
For data assessment during the following week, an EMA design was used with five consecutive days of data collection for which participants were instructed in the use of a pre-programmed (iDialogPad, G. Mutz, Cologne, Germany) iPod touch®. Each participant was given an iPod touch home and asked to start assessments the day after wounding. In order to match the EMA to participants’ daily routine, participants provided information on their general awakening times. During the following five days of ambulatory assessment, they individually provided information on subjective pain, social (partner) contact, mood, stress, and control variables (sleep duration, eating, sports, etc.) at six times per day. Measurement time points were prompted by iDialogPad directly (M = 7:47 a.m.) and 30 min after awakening (M = 8:21 a.m.), after 2.5 h (M = 10:30 a.m.), after 8 h (M = 4:03 p.m.), after 12 h (M = 7:26 p.m.), and before going to bed (M = 11:43 p.m.). At each time point, participants indicated whether they felt current wound pain on a scale from 0 to 9. We summed the levels of reported pain to calculate daily pain scores for the analyses.
Statistical analysis
Multilevel models were conducted to test for the hypotheses. Multilevel models account for the non-independent nature of the data, as individuals are likely to differ less within their measurements over time as opposed to measurements at a given time between individuals. To answer the question, whether or not experienced pain over time was more related within the couples as opposed to random dyads, multilevel models were conducted where pain perceived by one partner was predicted by pain perceived by the other partner at the same measurement point, as well as type of instructed interaction (PAT vs. no instruction) and oxytocin condition (OT tester vs. placebo). Then, random male partners were assigned to each of the female participants and vice versa over 1000 iterations, and the resulting models were compared to the models utilizing the original dyads.
To answer the question, whether instructed interaction and/or OT would decrease subjective pain levels, multilevel models with measurement points (level 1) nested within individuals (level 2) were conducted. Individual data nested within couples was accounted for by including a third level (level 3) to the primary analysis. This level represents individuals within couples with couples and time points being crossed. We also included model terms for interactions between condition, OT, and sex, as stated in the introduction. The variables were included stepwise into the model, first testing an empty model with just random intercepts, then entering time, OT condition, PAT, and sex, in this order. The models were compared using likelihood ratio tests.
All models included five measurement points, which included the aggregated measures of one day over a five-day period with time centered on day 1. We included time as a predictor in all primary models, thereby disaggregating the effect of variables of interest from non-specific linear trends.
Null Model:
Ytij = γ000 + u00j + r0ij + εtij
Final Model:
Ytij = γ000 + γ100(Timetij − 4) + γ010(Partner Appraisalij) + γ020(OT Conditionij) + γ030(Sexij) + γ040(Partner Appraisalij) (OT Conditionij) (Sexij) + u00j + r0ij + εtij
where Ytij denotes the pain score at time t for participant i in dyad j, (Timetij − 4) represents the linear effect of time, (Partner Appraisalij) the fixed effect of the PAT at level 2, (OT Conditionij) the fixed effect of the OT condition at level 2, (Sexij) the fixed effect of sex at level 2, the three-way interaction term of the level 2 predictors, as well as the random effect estimate at levels 3, 2, and 1, represented by u00j, r0ij, and εtij, respectively.
While the core outcome of the study was pain over time, a significant proportion of the sample (50.6%) did not experience any pain at any measurement point. The data included 0.38% missing values. Multilevel models naturally handle missing data well, nevertheless we assumed missing at random for all analysis and imputed missing data utilizing multiple imputation by chained equations.32 In order to be able to perform likelihood ratio tests to compare the models, maximum likelihood was used as estimator, above restricted maximum likelihood, in all models. We computed confidence intervals and significance values for fixed effects using Kenward–Roger approximation.33 While assuming normality for the errors, we employed a parametric bootstrap approach to compute significance values for random.34
Plotting the fitted against the residual values did not indicate non-constant error variance for any of the models. In the same vein, visual inspections of the QQ plots did not show meaningful divergence from normality for any of the models. The open access program R (version 3.4.3 R Development Core Team, 2008) was used for all statistical analyses.
Results
In Table 1, the means, standard deviations, and ranges for age and individual pain sum scores of all study participants are shown. Female participants were on average younger than their male counterparts and experienced more pain on average across all time points than their male counterparts.
Table 1.
Means, standard deviations, and ranges for age and individual pain sum-scores.
|
Entire sample |
Women only |
Men only |
|||||||
|---|---|---|---|---|---|---|---|---|---|
| Variable | Mean | SD | range | Mean | SD | range | Mean | SD | Range |
| Age | 27.65 | 5.02 | 24 | 26.65 | 4.67 | 24 | 28.65 | 5.18 | 21 |
| Pain T1 | 1.44 | 2.26 | 14 | 1.88 | 2.64 | 14 | 1.01 | 1.7 | 7 |
| Pain T2 | 0.49 | 1.44 | 9 | 0.66 | 1.63 | 9 | 0.31 | 1.2 | 9 |
| Pain T3 | 0.61 | 2.44 | 18 | 0.75 | 2.57 | 18 | 0.48 | 2.31 | 18 |
| Pain T4 | 0.26 | 1.4 | 12 | 0.3 | 1.46 | 12 | 0.21 | 1.35 | 11 |
| Pain T5 | 0.18 | 1 | 10 | 0.19 | 0.81 | 5 | 0.18 | 1.16 | 10 |
SD: standard deviation.
Figure 2 shows the means and standard deviations of pain ratings over time for women and men who received either OT or placebo.
Figure 2.
Mean pain ratings for men and women.OT: oxytocin.
Multilevel models show a significant partner effect on perceived pain. In both the male and the female participants, more pain experienced by the partner was related to more pain experienced by the participant. Estimates for the random effects indicate that a significant proportion of the variance in pain over time were at the within-person level. Table 2 reports the parameter estimates for the multilevel models regarding the question, whether or not pain over time was more strongly related within the couples as opposed to random dyads, suggesting that pain experiences in the couples were related.
Table 2.
Parameter estimates for the multilevel models regarding covariance between real dyads.
|
Pain |
Pain |
|||||
|---|---|---|---|---|---|---|
| Predictors | Estimates | CI | p | Estimates | CI | p |
| Intercept | 0.18 | −0.27 to 0.63 | 0.437 | 0.67 | 0.12–1.22 | 0.017 |
| Pain of female partners | 0.11 | 0.03–0.18 | 0.006 | |||
| Pain of male partners | 0.17 | 0.05–0.30 | 0.007 | |||
| OT condition (tester) | 0.02 | −0.63 to 0.66 | 0.964 | 0.16 | −0.63 to 0.95 | 0.690 |
| Social condition (positive) | 0.76 | 0.10–1.41 | 0.023 | −0.55 | −1.36 to 0.25 | 0.177 |
| OT × Social | −0.80 | −1.73 to 0.12 | 0.089 | 0.80 | −0.33 to 1.93 | 0.168 |
| Random effects | ||||||
| Random intercept | 0.75 id | <.001 | 1.05 id | <.001 | ||
| ICC | 0.29 id | 0.26 id | ||||
CI: confidence interval; ICC: intraclass correlation coefficient; OT: oxytocin; boldface values are significant at at least p < 0.05.
In Table 3, the parameter estimates for the primary multilevel models on OT and PAT conditions are reported. Adding time to the empty model (Model 1) was a significant improvement in model fit (χ2(1) = 50.9, p < 0.001). Adding oxytocin condition (χ2(1) = 0.2, p = 0.64), or PAT and its interaction with oxytocin (Model 2, χ2(2) = 0.5, p = 0.80) did not improve model fit. The model fit increased further, when sex and its interaction with the other predictors were added (Model 3, χ2(3) = 9.1, p = 0.02), and even further when including the three-way interaction between oxytocin condition, PAT, and sex, to the model (Model 4, χ2(3) = 3.8, p = 0.05).
Table 3.
Parameter estimates for the primary multilevel models regarding experimental groups.
| Outcome: pain |
Model 1 |
Model 2 |
Model 3 |
Model 4 |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictors | Estimates | CI | p | Estimates | CI | p | Estimates | CI | p | Estimates | CI | p |
| Intercept | 1.10 | 0.80–1.40 | <0.001 | 1.04 | 0.64–1.43 | <0.001 | 0.98 | 0.48–1.47 | <0.001 | 0.81 | 0.29–1.33 | 0.002 |
| Time (in days) | −0.28 | −0.35 to −0.20 | <0.001 | −0.28 | −0.35 to −0.20 | <0.001 | −0.28 | −0.35 to −0.20 | <0.001 | −0.28 | −0.35 to −0.20 | <0.001 |
| OT condition (tester) | 0.09 | −0.28 to 0.46 | 0.643 | 0.10 | −0.42 to 0.62 | 0.708 | −0.31 | −0.94 to 0.32 | 0.334 | 0.03 | −0.68 to 0.75 | 0.928 |
| Social condition PAT (positive) | 0.14 | −0.39 to 0.67 | 0.601 | 0.36 | −0.27 to 0.99 | 0.264 | 0.71 | −0.01 to 1.44 | 0.054 | |||
| OT × Social | −0.03 | −0.77 to 0.71 | 0.936 | −0.03 | −0.76 to 0.70 | 0.935 | −0.73 | −1.76 to 0.29 | 0.162 | |||
| Sex (female) | 0.12 | −0.50 to 0.75 | 0.696 | 0.46 | −0.25 to 1.16 | 0.204 | ||||||
| OT × Sex | 0.82 | 0.09–1.55 | 0.028 | 0.13 | −0.88 to 1.14 | 0.797 | ||||||
| Social × Sex | −0.44 | −1.17 to 0.29 | 0.238 | −1.14 | −2.17 to −0.12 | 0.029 | ||||||
| OT × Social × Sex | 1.40 | −0.05 to 2.85 | 0.058 | |||||||||
| τ00 | 0.97 ID:IDP | <.001 | 0.98 ID:IDP | <.001 | 0.93 ID:IDP | <.001 | 0.90 ID:IDP | <.001 | ||||
| ICC | 0.30 ID:IDP | <. 001 | 0.30 ID:IDP | <.001 | 0.29 ID:IDP | <.001 | 0.28 ID:IDP | <.001 | ||||
Note: OT condition: Placebo = 0, Tester = 1. Social condition: No instruction = 0, Partner appraisal task = 1. Sex: Male = 0, Female = 1. CI: confidence interval; OT: oxytocin; ICC: intraclass correlation coefficient; PAT: partner appraisal task; boldface values are significant at at least p < 0.05.
Model 3 suggests a significant interaction of OT and sex with men reporting lower pain levels and women reporting higher pain levels in the OT condition. In Model 3, the PAT condition effect was not significant.
When adding the three-way interaction effect (Model 4), results suggest that there was a significant effect of PAT in women with those in the PAT condition experiencing less pain, than those in the control condition. No such effect was found in men. While the interaction effect of OT with the PAT condition did not reach significance, descriptive data suggest that men, who were given OT and participated in the PAT condition experienced less pain than those who did not (c.f. Figures 3 and 4).
Figure 3.
Mean pain ratings in the social interaction groups.
Figure 4.
Mean pain ratings in the treatment groups.
While in Model 4 falling just short of reaching significance, the three-way interaction effect of the OT condition × PAT condition × sex suggests that increases in experienced pain for women receiving OT were reduced by PAT. Again, estimates for the random effects indicate that a significant proportion of the variance in pain over time is at the within-person level.
Discussion
In this study, couples received small suction blister wounds to the skin and were then randomized to either daily self-administer OT nasal spray or placebo and practice an instructed positive couple interaction during the lab assessment and once or twice again during the following five days or no instructed interaction. Compliance with the study was high and overall pain levels to the standard wounds were low to non-existent. Compared to randomly assembled dyads, pain levels within the couples were related. Intranasal OT decreased pain perception in men; however, increased pain perception in women. In contrast, women seemed to benefit from the instructed partner appraisal task (PAT), while men did not show any difference in pain perception based on PAT assignment.
Our first result shows that couples reached higher levels of similarity in their pain estimates than randomly assembled dyads. This is in line with previous findings showing that couples co-vary not only in behavior and affect, but above this in their levels of stress and hypothalamic–pituitary–adrenal axis (HPA) activity.27,35 One hypothesized mechanism might be a tendency toward a joint psychobiological homeostasis,36 which might show on an emotional, behavioral, and physiological level. Another explanation could be empathic joining.29 Spouses of pain patients tend to report higher pain levels themselves,37,38 and fatigue27 and depressive symptoms have been shown to co-vary within couples.39 These findings might help understand the effects of pain disorders in close relationships20,40 and implicate partner education or couple-based interventions even under such circumstances.41
Previous studies suggest that in chronic pain patients, intranasal OT can have dampening effects not only on perception of their regular pain levels42,43 but also on experimentally induced acute pain in healthy subjects.17,44 Rash and Campbell found that pain free individuals, who received OT instead of placebo, reported significantly lower pain levels and pain thresholds to standard pain stimuli during QST.16 However, other research suggests that instead of an analgesic main effect, intranasal OT might have a beneficial effect on placebo-induced pain reduction.15 The latter finding was also confirmed in both a healthy pain-free sample14 and fibromyalgia patients.45 Notably, while recent data suggest an interaction effect of intranasal OT and social support on pain perception in a laboratory study in women,19 most studies on this topic to date have been done in men. Thus, while lower pain levels to OT in men46 are in concurrence with previous studies, there is limited data available only to help interpret our results in women and no single study on repeated OT administration in this context has been published yet. In women, endogenous levels vary across the menstrual cycle24 and so might effects of externally administered OT. We did not detect differences between women using oral contraception and naturally cycling women in pain levels. However, in our study, the menstrual cycle stage was controlled in those naturally cycling, and OT effects might have been different during the late follicular or the luteal phase.
We here found that the female participants, in particular, benefited from the PAT, an instructed positive couple interaction and reported reduced pain levels. This is in line with previous research and theory to suggest that women respond more sensitively to social modulators of stress or pain, as men do.47 It seems reasonable to assume that instructed positive couple interaction, such as in this study, and the associated increase in positive affect might prove a protective factor against pain. In line with this, another study by Leong et al.48 suggested that validating behavior of wives on husbands with pain are linked to greater pain and lower marital satisfaction. However, this was not the case when the wives had pain. The literature on how overall partner interaction influences pain is mixed. Some studies argue that more involvement from the side of the partner might lead to less pain, whereas some find that it increases pain perception. While it might be good to talk about pain, too much involvement with the topic might have adverse effects.22 A study by Flor et al. suggests that solicitousness of a spouse can have pain increasing effects, especially if the partner shows profound concerns.20 This effect was also found in an observational study, where patients with solicitous spouses reported higher pain levels, as compared to patients with partners who expressed no or neutral reactions to their pain.49 Alarmed or distressing behavior of the partner seems to be related to increased pain perception.20,22,50
In considering the findings of this study, some limitations have to be mentioned: the sample consisted of healthy young heterosexual couples, reporting high relationship satisfaction. Given the inconsistent effects of instructed couple interaction or social support in clinical samples or couples in therapy,51 we cannot extrapolate these findings to couples with severe marital problems or chronic pain. Chronic pain has been defined as persistent or recurrent pain lasting longer than 3 months.52 In this study, we assessed wound pain over one week, which cannot be considered as chronic pain. Moreover, in contrast to our study where both partners received the wounds, in clinical pain samples usually only one of the partners suffers from a specific disease and/or pain. Nevertheless, our study design exceeds investigation of acute pain in laboratory condition and can be directly transferred to everyday life pain.
Above this, while of high ecological validity the suction blister wound application resulted in relatively low pain levels overall: Only 86 of 160 participants rated their pain higher than 0 at the first measurement point (directly after wound application), and this number decreased to 8 of 160 participants at measurement point six. While this is the result of the relatively harmless and ethically uncritical standardized wound application, it nevertheless means that the effects found are rather small and cannot be generalized to high-intense or chronic pain. Future studies might investigate the effects of intranasal OT and instructed positive couple interaction in patients suffering from chronic pain.
Conclusion
Our results suggest that intranasal OT reduced pain experiences to an ecological valid yet minor pain stimulus—skin wounds—in men, but not in women. As predicted, women benefited from instructed positive partner interaction in terms of dampened pain levels to wounding. These results add to the evidence for health-beneficial effects of positive couple interaction41 and suggest a pain-dampening effect of OT in men. As such, these data are the first to translate the findings from standard laboratory settings to everyday life and natural occurring pain conditions.
Acknowledgments
The authors gratefully acknowledge CM Spoerri’s skilled work in coordinating the study and S Ackermann, A Johann, S Lutolf, E Mussner, and E Noser for their support in running the study. The authors thank W Schmid and H Gossweiler for their technical support in preparing the blister chambers and M Udry and J Linton (US NIH Dermatology branch) for providing them with the blister chamber prototype. J Marti pre-tested the wound-healing paradigm, Z Akdogan, D Bernd, and C Klaghofer treated the wounds following blister application and U Kubler verified OT and PL randomization.
Author Contributions
ACP and ME equally contributed to analysis and interpretation of the data and drafting of the manuscript. PSP contributed to the analysis of the data. ES, SCH, and MS helped interpreting the data. BD, MH, GB, UE, and SL designed the study. BD led the study, including data acquisition, analysis, and interpretation of the data, and drafting of the manuscript. All authors approved the final version of the manuscript.
Author Note
Ekaterina Schneider, Maren Schick and Beate Ditzen are also affiliated with Ruprecht-Karls University, Heidelberg, Germany.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Swiss National Science Foundation (grant number SNF 105314 124627). BD, ME, and MS receive funding from the German Research Foundation (DFG, grant number SFB 1158, sub-project “Social influence on acute and chronic pain”). The funding sources did not have any influence on data collection or interpretation of the data.
ORCID iD
Monika Eckstein https://orcid.org/0000-0002-1846-4992
References
- 1.Ditzen B, Heinrichs M. Psychobiology of social support: the social dimension of stress buffering. Restor Neurol Neurosci 2014; 32: 149–162. [DOI] [PubMed] [Google Scholar]
- 2.Uchino BN. Social support and health: a review of physiological processes potentially underlying links to disease outcomes. J Behav Med 2006; 29: 377–387. [DOI] [PubMed] [Google Scholar]
- 3.Burman B, Margolin G. Analysis of the association between marital relationships and health-problems – an interactional perspective. Psychol Bull 1992; 112: 39–63. [DOI] [PubMed] [Google Scholar]
- 4.Eisenberger NI, Master SL, Inagaki TK, Taylor SE, Shirinyan D, Lieberman MD, Naliboff BD. Attachment figures activate a safety signal-related neural region and reduce pain experience. Proc Natl Acad Sci U S A 2011; 108: 11721–11726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Herpertz SC, Schmitgen MM, Fuchs C, Roth C, Wolf RC, Bertsch K, Flor H, Grinevich V, Boll S. Oxytocin effects on pain perception and pain anticipation. J Pain 2019; 20: 1187–1198. [DOI] [PubMed] [Google Scholar]
- 6.Uvnas-Moberg K. Oxytocin may mediate the benefits of positive social interaction and emotions. Psychoneuroendocrinology 1998; 23: 819–835. [DOI] [PubMed] [Google Scholar]
- 7.Young LJ, Wang Z. The neurobiology of pair bonding. Nat Neurosci 2004; 7: 1048–1054. [DOI] [PubMed] [Google Scholar]
- 8.Johnson ZV, Young LJ. Neurobiological mechanisms of social attachment and pair bonding. Curr Opin Behav Sci 2015; 3: 38–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ditzen B, Schaer M, Gabriel B, Bodenmann G, Ehlert U, Heinrichs M. Intranasal oxytocin increases positive communication and reduces cortisol levels during couple conflict. Biol Psychiatry 2009; 65: 728–731. [DOI] [PubMed] [Google Scholar]
- 10.Zietlow A-L, Eckstein M, Hernández C, Nonnenmacher N, Reck C, Schaer M, Bodenmann G, Heinrichs M, Ditzen B. Dyadic coping and its underlying neuroendocrine mechanisms–implications for stress regulation. Front Psychol 2019; 9: 2600. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Pfeifer AC, Ditzen B, Neubauer E, Schiltenwolf M. Effect of oxytocin on human pain perception. Schmerz 2016; 30: 457–469. [DOI] [PubMed] [Google Scholar]
- 12.Viero C, Shibuya I, Kitamura N, Verkhratsky A, Fujihara H, Katoh A, Ueta Y, Zingg HH, Chvatal A, Sykova E, Dayanithi G. Review: oxytocin: crossing the bridge between basic science and pharmacotherapy. CNS Neurosci Ther 2010; 16: e138–e156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Tracy LM, Georgiou-Karistianis N, Gibson SJ, Giummarra MJ. Oxytocin and the modulation of pain experience: implications for chronic pain management. Neurosci Biobehav Rev 2015; 55: 53–67. [DOI] [PubMed] [Google Scholar]
- 14.Zunhammer M, Geis S, Busch V, Greenlee MW, Eichhammer P. Effects of intranasal oxytocin on thermal pain in healthy men: a randomized functional magnetic resonance imaging study. Psychosom Med 2015; 77: 156–166. [DOI] [PubMed] [Google Scholar]
- 15.Kessner S, Sprenger C, Wrobel N, Wiech K, Bingel U. Effect of oxytocin on placebo analgesia: a randomized study. JAMA 2013; 310: 1733–1735. [DOI] [PubMed] [Google Scholar]
- 16.Rash JA, Campbell TS. The effect of intranasal oxytocin administration on acute cold pressor pain: a placebo-controlled, double-blind, within-participants crossover investigation. Psychosom Med 2014; 76: 422–429. [DOI] [PubMed] [Google Scholar]
- 17.Singer T, Snozzi R, Bird G, Petrovic P, Silani G, Heinrichs M, Dolan RJ. Effects of oxytocin and prosocial behavior on brain responses to direct and vicariously experienced pain. Emotion 2008; 8: 781–791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lopez-Sola M, Geuter S, Koban L, Coan JA, Wager TD. Brain mechanisms of social touch-induced analgesia in females. Pain 2019; 160: 2072–2085. [DOI] [PubMed] [Google Scholar]
- 19.Kreuder AK, Wassermann L, Wollseifer M, Ditzen B, Eckstein M, Stoffel-Wagner B, Hennig J, Hurlemann R, Scheele D. Oxytocin enhances the pain-relieving effects of social support in romantic couples. Hum Brain Mapp 2019; 40: 242–251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Flor H, Breitenstein C, Birbaumer N, Furst M. A psychophysiological analysis of spouse solicitousness towards pain behaviors, spouse interaction, and pain perception. Behav Ther 1995; 26: 255–272. [Google Scholar]
- 21.Lousberg R, Schmidt AJM, Groenman NH. The relationship between spouse solicitousness and pain behavior – searching for more experimental-evidence. Pain 1992; 51: 75–79. [DOI] [PubMed] [Google Scholar]
- 22.Tr N-J, Williams A. Chronic pain couples: perceived marital interactions and pain behaviours. Pain 2006; 123: 53–63. [DOI] [PubMed] [Google Scholar]
- 23.Raichle KA, Romano JM, Jensen MP. Partner responses to patient pain and well behaviors and their relationship to patient pain behavior, functioning, and depression. Pain 2011; 152: 82–88. [DOI] [PubMed] [Google Scholar]
- 24.Engel S, Klusmann H, Ditzen B, Knaevelsrud C, Schumacher S. Menstrual cycle-related fluctuations in oxytocin concentrations: a systematic review and meta-analysis. Front Neuroendocrinol 2019; 52: 144–155. [DOI] [PubMed] [Google Scholar]
- 25.Fillingim RB, King CD, Ribeiro-Dasilva MC, Rahim-Williams B, Riley JL. III. Sex, gender, and pain: a review of recent clinical and experimental findings. J Pain 2009; 10: 447–485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Nayak S, Shiflett SC, Eshun S, Levine FM. Culture and gender effects in pain beliefs and the prediction of pain tolerance. Cross-Cult Res 2000; 34: 135–151. [Google Scholar]
- 27.Doerr JM, Nater UM, Ehlert U, Ditzen B. Co-variation of fatigue and psychobiological stress in couples’ everyday life. Psychoneuroendocrinology 2018; 92: 135–141. [DOI] [PubMed] [Google Scholar]
- 28.Bilek E, Ruf M, Schafer A, Akdeniz C, Calhoun VD, Schmahl C, Demanuele C, Tost H, Kirsch P, Meyer-Lindenberg A. Information flow between interacting human brains: identification, validation, and relationship to social expertise. Proc Natl Acad Sci USA 2015; 112: 5207–5212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Leuchtmann L, Bodenmann G. Interpersonal view on physical illnesses and mental disorders. Swiss Arch Neurol Psychiatr Psychother 2017; 168: 170–174. [Google Scholar]
- 30.Blauvelt A, Clerici M, Lucey DR, Steinberg SM, Yarchoan R, Walker R, Shearer GM, Katz SI. Functional studies of epidermal Langerhans cells and blood monocytes in HIV-infected persons. J Immunol 1995; 154: 3506–3515. [PubMed] [Google Scholar]
- 31.Blauvelt A, Asada H, Klaus-Kovtun V, Altman DJ, Lucey DR, Katz SI. Interleukin-15 mRNA is expressed by human keratinocytes, Langerhans cells, and blood-derived dendritic cells and is downregulated by ultraviolet B radiation. J Investig Dermatol 1996; 106: 1047–1052. [DOI] [PubMed] [Google Scholar]
- 32.Van Buuren S. Flexible imputation of missing data. Boca Raton: Chapman and Hall/CRC, 2018. [Google Scholar]
- 33.Kenward MG, Roger JH. Small sample inference for fixed effects from restricted maximum likelihood. Biometrics 1997; 53: 983–997. [PubMed] [Google Scholar]
- 34.Faraway JJ. Extending the linear model with R: generalized linear, mixed effects and nonparametric regression models. Boca Raton: Chapman and Hall/CRC, 2016. [Google Scholar]
- 35.Saxbe D, Repetti R L. For better or worse? Coregulation of couples’ cortisol levels and mood states. J Pers Soc Psychol 2010; 98: 92–103. [DOI] [PubMed] [Google Scholar]
- 36.Sbarra DA, Hazan C. Coregulation, dysregulation, self-regulation: an integrative analysis and empirical agenda for understanding adult attachment, separation, loss, and recovery. Pers Soc Psychol Rev 2008; 12: 141–167. [DOI] [PubMed] [Google Scholar]
- 37.Flor H. Neurobiologisch e und psychobiologische Faktoren der Chronifizierung und Plastizität. Schmerzpsychotherapie Berlin: Springer, 2017, pp. 87–101.
- 38.Flor H, Turk DC, Scholz OB. Impact of chronic pain on the spouse: marital, emotional and physical consequences. J Psychosom Res 1987; 31: 63–71. [DOI] [PubMed] [Google Scholar]
- 39.Horn AB, Maercker A. Intra- and interpersonal emotion regulation and adjustment symptoms in couples: the role of co-brooding and co-reappraisal. BMC Psychol 2016; 4: 10–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Cheng Y, Lin CP, Liu HL, Hsu YY, Lim KE, Hung D, Decety J. Expertise modulates the perception of pain in others. Curr Biol 2007; 17: 1708–1713. [DOI] [PubMed] [Google Scholar]
- 41.Frisch J, Aguilar-Raab C, Eckstein M, Ditzen B. Einfluss von paarinteraktion auf die gesundheit. Psychotherapeut 2017; 62: 59–76. [Google Scholar]
- 42.Ohlsson B, Truedsson M, Bengtsson M, Torstenson R, Sjölund K, Björnsson ES, Simrén M. Effects of long-term treatment with oxytocin in chronic constipation: a double blind, placebo-controlled pilot trial. Neurogastroenterol Motil. 2005; 17: 697–704. [DOI] [PubMed] [Google Scholar]
- 43.Wang YL, Yuan Y, Yang J, Wang CH, Pan YJ, Lu L, Wu YQ, Wang DX, Lv LX, Li RR, Xue L, Wang XH, Bi JW, Liu XF, Qian YN, Deng ZK, Zhang ZJ, Zhai XH, Zhou XJ, Wang GL, Zhai JX, Liu WY. The interaction between the oxytocin and pain modulation in headache patients. Neuropeptides 2013; 47: 93–97. [DOI] [PubMed] [Google Scholar]
- 44.Paloyelis Y, Krahé C, Maltezos S, Williams S, Howard MA, Fotopoulou A. The analgesic effect of oxytocin in humans: a double-blind, placebo-controlled cross-over study using laser-evoked potentials. J Neuroendocrinol 2016; 28. doi:10.1111/jne.12347 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Mameli S, Pisanu GM, Sardo S, Marchi A, Pili A, Carboni M, Minerba L, Trincas G, Carta MG, Melis MR, Agabio R. Oxytocin nasal spray in fibromyalgic patients. Rheumatol Int 2014; 34: 1047–1052. [DOI] [PubMed] [Google Scholar]
- 46.Rash JA, Aguirre-Camacho A, Campbell TS. Oxytocin and pain: a systematic review and synthesis of findings. Clin J Pain 2014. 2013; 30: 1–462. [DOI] [PubMed] [Google Scholar]
- 47.Kiecolt-Glaser JK, Newton TL. Marriage and health: his and hers. Psychol Bull 2001; 127: 472–503. [DOI] [PubMed] [Google Scholar]
- 48.Leong LE, Cano A, Johansen AB. Sequential and base rate analysis of emotional validation and invalidation in chronic pain couples: patient gender matters. J Pain 2011; 12: 1140–1148. [DOI] [PubMed] [Google Scholar]
- 49.Block AR, Kremer EF, Gaylor M. Behavioral treatment of chronic pain – the spouse as a discriminative cue for pain behavior. Pain 1980; 9: 243–252. [DOI] [PubMed] [Google Scholar]
- 50.Romano JM, Jensen MP, Turner JA, Good AB, Hops H. Chronic pain patient-partner interactions: Further support for a behavioral model of chronic pain. Behav Ther 2000; 31: 415–440. [Google Scholar]
- 51.Aguilar-Raab C, Grevenstein D, Gotthardt L, Jarczok MN, Hunger C, Ditzen B, Schweitzer J. Changing me, changing us: relationship quality and collective efficacy as major outcomes in systemic couple therapy. Fam Proc 2018; 57: 342–358. [DOI] [PubMed] [Google Scholar]
- 52.Treede R-D, Rief W, Barke A, Aziz Q, Bennett MI, Benoliel R, Cohen M, Evers S, Finnerup NB, First MB, Giamberardino MA, Kaasa S, Kosek E, Lavandʼhomme P, Nicholas M, Perrot S, Scholz J, Schug S, Smith BH, Svensson P, Vlaeyen JW, Wang SJ. A classification of chronic pain for ICD-11. Pain 2015; 156: 1003–1007. [DOI] [PMC free article] [PubMed] [Google Scholar]




