When couples’ hearts beat together: Synchrony in heart rate variability during conflict predicts heightened inflammation throughout the day
Open accessAbstract
Hostile conflict in marriage can increase risks for disease and mortality. Physiological synchrony between partners-e.g., the linkage between their autonomic fluctuations-appears to capture engagement, or an inability to disengage from an exchange, and thus may amplify the health risks of noxious interactions such as marital conflict. Prior work has not examined the unique health correlates of this physiological signature. To test associations between couples' heart rate variability (HRV) synchrony during conflict and inflammation, 43 married couples engaged in a marital problem discussion while wearing heart monitors and provided four blood samples; they repeated this protocol at a second visit. When couples' moment-to-moment HRV changes tracked more closely together during conflict, they had higher levels of three inflammatory markers (i.e., IL-6, stimulated TNF-α, and sVCAM-1) across the day. Stronger HRV synchrony during conflict also predicted greater negative affect reactivity. Synchrony varied within couples, and was related to situational factors rather than global relationship traits. These data highlight partners' HRV linkage during conflict as a novel social-biological pathway to inflammation-related disease.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In contexts marked by conflict, unresolved trauma, or insecure attachment, synchrony could reflect co-dysregulation and shared distress, which may compromise wellbeing over time.
“Conversely, in contexts marked by conflict, unresolved trauma, or insecure attachment, synchrony could reflect co-dysregulation and shared distress (37, 67), which may compromise wellbeing over time.”
From Physiological attunement and flourishing: understanding the influence of relationships on health (2025) · cites this paper as [37]
The Results (§3.5.2) link stronger synchrony during marital conflict to greater negative-affect reactivity, and §3.4 links it to higher inflammatory markers during the study day. These findings support the possibility that synchrony during conflict reflects shared distress and poses a health risk. The paper does not examine unresolved trauma or insecure attachment, or establish compromised wellbeing over time; the Discussion (§4) says long-term risk would require further assessment. (LLM, conf=0.86)
Experimental — accuracy not yet measuredDuring conflict interactions, high autonomic synchrony sometimes predicted emotional strain and hostile affect.
“Conversely, during conflict interactions, high autonomic synchrony sometimes predicted emotional strain and hostile affect (30, 37).”
From Physiological attunement and flourishing: understanding the influence of relationships on health (2025) · cites this paper as [37]
The Results (§3.5.2; page unavailable) report that greater HRV synchrony during conflict predicted greater negative-affect reactivity, supporting the emotional-strain portion. The Results (§3.3; page unavailable) do not establish a link with hostile affect and report that synchrony did not track hostile behavior during the disagreement. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPhysiological synchrony does not necessarily reflect a positive evaluation of the interaction.
“While in some studies physiological synchrony was found to be related to positive affect (Chanel et al. 2012; Danyluck and Page‐Gould 2018), empathy (Chatel‐Goldman et al. 2014), and group cohesion (Gordon et al. 2020), others observed a positive relationship between physiological synchrony and negative affect (Wilson et al. 2018) or distress in couples (Levenson and Gottman 1983), suggesting that”
From Interpersonal Physiological Synchrony During Dyadic Joint Action Is Increased by Task Novelty and Reduced by Social Anxiety (2025) · cites this paper as Wilson et al. 2018
Some studies identified potential physiological costs, such as elevated inflammatory markers following high HRV synchrony during conflict.
“Several studies linked higher attunement to emotional or relational outcomes, including increased marital satisfaction (41), while others identified potential physiological costs, such as elevated inflammatory markers following high HRV synchrony during conflict (37).”
From Physiological attunement and flourishing: understanding the influence of relationships on health (2025) · cites this paper as [37]
During marital conflicts, couples showed higher HRV attunement, and this was associated with elevated inflammatory markers and negative affect, suggesting a stress-reactive form of attunement.
“For example, during marital conflicts, couples showed higher HRV attunement, and this was associated with elevated inflammatory markers and negative affect, suggesting a stress-reactive form of attunement (30, 37).”
From Physiological attunement and flourishing: understanding the influence of relationships on health (2025) · cites this paper as [37]
Autonomic attunement during conflict in romantic couples was sometimes linked to increased inflammatory markers and greater emotional distress.
“Regarding romantic couples, autonomic attunement during conflict was sometimes linked to increased inflammatory markers and greater emotional distress.”
From Physiological attunement and flourishing: understanding the influence of relationships on health (2025) · cites this paper as [37]
HRV synchrony during marital conflict predicted higher levels of IL-6, a pro-inflammatory cytokine.
“For example, HRV synchrony during marital conflict predicted higher levels of IL-6, a pro-inflammatory cytokine (37).”
From Physiological attunement and flourishing: understanding the influence of relationships on health (2025) · cites this paper as [37]
Some findings suggest that men's physiological states are more influenced by their female partners' responses.
“However, some findings suggest that men’s physiological states are more influenced by their female partners’ responses (37).”
From Physiological attunement and flourishing: understanding the influence of relationships on health (2025) · cites this paper as [37]
The Discussion (page unavailable) reports physiological synchrony between partners during conflict, but does not say that men’s physiological states are more influenced by their female partners than the reverse. Searches for husband–wife influence and sex differences found no passage addressing that directional comparison. (LLM, conf=0.70)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267 · see citing works
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234 · see citing works
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433 · see citing works
The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods
Tausczik, Y. R., & Pennebaker, J. W. (2010) · Journal of Language and Social Psychology · doi:10.1177/0261927x09351676 · Cited by 5,774 · see citing works
Inclusion of Other in the Self Scale and the structure of interpersonal closeness.
Aron, A., Aron, E. N., & Smollan, D. (1992) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.63.4.596 · Cited by 5,157 · see citing works
Chronic Inflammation (Inflammaging) and Its Potential Contribution to Age-Associated Diseases
Franceschi, C., & Campisi, J. (2014) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glu057 · Cited by 3,891 · see citing works
Porges, S. W. (2007) · Biological Psychology · doi:10.1016/j.biopsycho.2006.06.009 · Cited by 3,415 · see citing works
A model of neurovisceral integration in emotion regulation and dysregulation
Thayer, J. F., & Lane, R. D. (2000) · Journal of Affective Disorders · doi:10.1016/s0165-0327(00)00338-4 · Cited by 3,092 · see citing works
Laborde, S., Mosley, E., & Thayer, J. F. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00213 · Cited by 2,336 · cited 1× · see citing works
“We used a 5-min subset of the conflict discussion (10min in) to match the 5-min window of the rest period (Laborde et al., 2017).”
Does positive affect influence health?
Pressman, S. D., & Cohen, S. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.6.925 · Cited by 2,087 · see citing works
Funk, J. L., & Rogge, R. D. (2007) · Journal of Family Psychology · doi:10.1037/0893-3200.21.4.572 · Cited by 1,806 · cited 3× · see citing works
“Marital quality Administered at the first full-day visit, the 32-item Couples Satisfaction Index (CSI) assessed marital satisfaction (Funk and Rogge, 2007).”
InfluentialMarital quality and health: A meta-analytic review.
Robles, T. F., Slatcher, R. B., Trombello, J. M., & McGinn, M. M. (2013) · Psychological Bulletin · doi:10.1037/a0031859 · Cited by 1,615 · see citing works
Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures
Golder, S. A., & Macy, M. W. (2011) · Science · doi:10.1126/science.1202775 · Cited by 1,155 · cited 1× · see citing works
“Indeed, morning experiences set the tone for the rest of the day (Golder and Macy, 2011) more commonly than they spill over from one day to the next (Marco and Suls, 1993).”
Adhesion molecules and atherosclerosis
Blankenberg, S., Barbaux, S., & Tiret, L. (2003) · Atherosclerosis · doi:10.1016/s0021-9150(03)00097-2 · Cited by 1,075 · see citing works
Marital interaction: Physiological linkage and affective exchange.
Levenson, R. W., & Gottman, J. M. (1983) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.45.3.587 · Cited by 855 · cited 4× · see citing works
“Prior work has found consonant results across synchrony indices in different physiological systems (e.g., Gates et al., 2015; Helm et al., 2012; Levenson and Gottman, 1983) with a notable exception (Helm et al.”
InfluentialHostile Marital Interactions, Proinflammatory Cytokine Production, and Wound Healing
Kiecolt-Glaser, J. K., Loving, T. J., Stowell, J. R., Malarkey, W. B., Lemeshow, S., Dickinson, S. L., & Glaser, R. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.12.1377 · Cited by 715 · see citing works
Self-citationMarsland, A. L., Walsh, C., Lockwood, K., & John-Henderson, N. A. (2017) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2017.01.011 · Cited by 691 · see citing works
The cholinergic anti-inflammatory pathway
Pavlov, V. A., & Tracey, K. J. (2005) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2005.03.015 · Cited by 622 · see citing works
Interpersonal autonomic physiology: a systematic review of the literature
Palumbo, R. V., Marraccini, M. E., Weyandt, L. L., Wilder-Smith, O., McGee, H. A., Liu, S., & Goodwin, M. S. (2017) · Personality and Social Psychology Review · doi:10.1177/1088868316628405 · Cited by 566 · see citing works
Respiratory sinus arrhythmia, emotion, and emotion regulation during social interaction
Butler, E. A., Wilhelm, F. H., & Gross, J. J. (2006) · Psychophysiology · doi:10.1111/j.1469-8986.2006.00467.x · Cited by 520 · see citing works
Groote, D. D., Zangerle, P. F., Gevaert, Y., Fassotte, M., Beguin, Y. P., Pirenne, F., Pirenne, J., Gathy, R., Lopez, M., Dehart, I., et al. (1992) · Cytokine · doi:10.1016/1043-4666(92)90062-v · Cited by 470 · see citing works
Physiological and affective predictors of change in relationship satisfaction.
LEVENSON, R. W., & Gottman, J. M. (1985) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.49.1.85 · Cited by 437 · see citing works
Couple Observational Coding Systems
Dorian, M., & Cordova, J. V. (2004) · Routledge eBooks · doi:10.4324/9781410610843 · Cited by 329 · see citing works
Timmons, A. C., Margolin, G., & Saxbe, D. E. (2015) · Journal of Family Psychology · doi:10.1037/fam0000115 · Cited by 255 · see citing works
Liu, H., & Waite, L. J. (2014) · Journal of Health and Social Behavior · doi:10.1177/0022146514556893 · Cited by 212 · see citing works
Marco, C. A., & Suls, J. M. (1993) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.64.6.1053 · Cited by 206 · see citing works
Affective reactivity to daily stressors is associated with elevated inflammation
Sin, N. L., Graham-Engeland, J. E., Ong, A. D., & Almeida, D. M. (2015) · Health Psychology · doi:10.1037/hea0000240 · Cited by 188 · see citing works
Assessing cross-partner associations in physiological responses via coupled oscillator models.
Helm, J. L., Sbarra, D., & Ferrer, E. (2012) · Emotion · doi:10.1037/a0025036 · Cited by 179 · see citing works
Interpersonal Affect Dynamics: It Takes Two (and Time) to Tango
Butler, E. A. (2015) · Emotion Review · doi:10.1177/1754073915590622 · Cited by 174 · see citing works
Diurnal Variation of Circulating Interleukin-6 in Humans: A Meta-Analysis
Nilsonne, G., Lekander, M., Åkerstedt, T., Axelsson, J., & Ingre, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165799 · Cited by 171 · see citing works
Hasler, B. P., & Troxel, W. (2010) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3181ecd08a · Cited by 169 · see citing works
The Role of Sleep in Interpersonal Conflict
Gordon, A. M., & Chen, S. (2014) · Social Psychological and Personality Science · doi:10.1177/1948550613488952 · Cited by 168 · see citing works
Coregulation of respiratory sinus arrhythmia in adult romantic partners
Helm, J. L., Sbarra, D. A., & Ferrer, E. (2014) · Emotion · doi:10.1037/a0035960 · Cited by 154 · see citing works
Marco, C. A., & Suls, J. M. (1993) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.64.6.1053 · Cited by 143 · see citing works
Seider, B. H., Hirschberger, G., Nelson, K. L., & LEVENSON, R. W. (2009) · Psychology and Aging · doi:10.1037/a0016950 · Cited by 140 · see citing works
Evidence-based approaches to assessing couple distress.
Snyder, D. K., Heyman, R. E., & Haynes, S. N. (2005) · Psychological Assessment · doi:10.1037/1040-3590.17.3.288 · Cited by 135 · cited 4× · see citing works
“Moreover, the way couples disagree in the lab mirrors how they argue in daily life (Snyder et al., 2005), and though synchrony differed across visits, there would be no closer resemblance than between the couples’ afternoon disagreement and their unrecorded morning interactions.”
InfluentialThe Role of Vascular Cell Adhesion Molecule-1 in Tumor Immune Evasion
Wu, T. ‐. (2007) · Cancer Research · doi:10.1158/0008-5472.can-07-1543 · Cited by 128 · see citing works
Synchrony of diurnal cortisol pattern in couples
Liu, S., Rovine, M. J., Cousino Klein, L., & Almeida, D. M. (2013) · Journal of Family Psychology · doi:10.1037/a0033735 · Cited by 116 · see citing works
Partner influence and in-phase versus anti-phase physiological linkage in romantic couples
Reed, R. G., Randall, A. K., Post, J. H., & Butler, E. A. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.08.009 · Cited by 108 · see citing works
Estimating time‐varying RSA to examine psychophysiological linkage of marital dyads
Gates, K. M., Gatzke‐Kopp, L. M., Sandsten, M., & Blandon, A. Y. (2015) · Psychophysiology · doi:10.1111/psyp.12428 · Cited by 106 · see citing works
Self-citationAugust, K. J., Rook, K. S., Franks, M. M., & Stephens, M. A. P. (2013) · Journal of Family Psychology · doi:10.1037/a0034181 · Cited by 96 · see citing works
Marital Quality, Gender, and Markers of Inflammation in the MIDUS Cohort
Donoho, C. J., Crimmins, E. M., & Seeman, T. E. (2013) · Journal of Marriage and the Family · doi:10.1111/j.1741-3737.2012.01023.x · Cited by 92 · see citing works
Positive Affect and Immune Function
Marsland, A. L., Pressman, S. D., & Cohen, S. (2007) · Elsevier eBooks · doi:10.1016/b978-012088576-3/50042-3 · Cited by 82 · see citing works
Joseph, N. T., Kamarck, T. W., Muldoon, M. F., & Manuck, S. B. (2014) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000071 · Cited by 69 · see citing works
Kiecolt‐Glaser, J. K., Jaremka, L. M., Andridge, R., Peng, J., Habash, D., Fagundes, C. P., Glaser, R., Malarkey, W. B., & Belury, M. A. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.11.018 · Cited by 69 · see citing works
Self-citationCognitive word use during marital conflict and increases in proinflammatory cytokines.
Graham‐Engeland, J. E., Glaser, R., Loving, T. J., Malarkey, W. B., Stowell, J. R., & Kiecolt‐Glaser, J. K. (2009) · Health Psychology · doi:10.1037/a0015208 · Cited by 54 · see citing works
Self-citationMarital adjustment and interleukin-6 (IL-6).
Whisman, M. A., & Sbarra, D. A. (2012) · Journal of Family Psychology · doi:10.1037/a0026902 · Cited by 53 · see citing works
Shortened sleep fuels inflammatory responses to marital conflict: Emotion regulation matters
Wilson, S. J., Jaremka, L. M., Fagundes, C. P., Andridge, R., Peng, J., Malarkey, W. B., Habash, D., Belury, M. A., & Kiecolt‐Glaser, J. K. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.02.015 · Cited by 45 · see citing works
Self-citationKemeny, M. E. (2006) · Oxford University Press eBooks · doi:10.1093/oso/9780195139594.003.0005 · Cited by 41 · see citing works
Liu, S., Zhou, Y., Palumbo, R. V., & Wang, J.-L. (2016) · Psychological Methods · doi:10.1037/met0000071 · Cited by 40 · see citing works
Guðmundsson, A., Ershler, W. B., Goodman, B., Lent, S. J., Barczi, S. R., & Carnes, M. L. (1997) · Clinical Chemistry · doi:10.1093/clinchem/43.11.2199 · Cited by 33 · see citing works
Self-regulatory strategies in daily life
Robinson, S. A., Rickenbach, E. H., & Lachman, M. E. (2015) · International Journal of Behavioral Development · doi:10.1177/0165025415592187 · Cited by 30 · see citing works
Estimation of HRV spectrogram using multiple window methods focussing on the high frequency power
Hansson, M., & Jönsson, P. (2006) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2005.11.004 · Cited by 24 · see citing works
Fisher, A. J., Reeves, J. W., & Chi, C. (2016) · Psychophysiology · doi:10.1111/psyp.12644 · Cited by 15 · see citing works
Quantifying EDA synchrony through joint sparse representation: A case-study of couples' interactions
Chaspari, T., Baucom, B., Timmons, A. C., Tsiartas, A., Piero, L. B. D., Baucom, K. J. W., Georgiou, P., Margolin, G., & Narayanan, S. S. (2015) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2015.7178083 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Strangers, Friends, and Lovers Show Different Physiological Synchrony in Different Emotional States
Bizzego, A., Azhari, A., Campostrini, N., Truzzi, A., Ng, L. Y., Gabrieli, G., Bornstein, M. H., Setoh, P., & Esposito, G. (2019) · Behavioral Sciences · doi:10.3390/bs10010011 · Cited by 85 · see citing works
Coutinho, J., Pereira, A., Oliveira‐Silva, P., Meier, D., Lourenço, V., & Tschacher, W. (2021) · Psychophysiology · doi:10.1111/psyp.13739 · Cited by 83 · see citing works
Mayo, O., Lavidor, M., & Gordon, I. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113391 · Cited by 73 · see citing works
Physiological linkage during shared positive and shared negative emotion
Chen, K.-H., Brown, C. L., Wells, J. L., Rothwell, E. S., Otero, M. C., Levenson, R. W., & Fredrickson, B. L. (2021) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000337 · Cited by 72 · see citing works
Stuldreher, I. V., Thammasan, N., van Erp, J. B. F., & Brouwer, A.-M. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/aba87d · Cited by 58 · see citing works
How and why people synchronize: An integrated perspective
daSilva, E. B., & Wood, A. (2025) · Personality and Social Psychology Review · doi:10.1177/10888683241252036 · Cited by 56 · see citing works
Lin, D., Zhu, T., & Wang, Y. (2024) · Physiology & Behavior · doi:10.1016/j.physbeh.2023.114434 · Cited by 50 · see citing works
Boukarras, S., Placidi, V., Rossano, F., Era, V., Aglioti, S. M., & Candidi, M. (2025) · Psychophysiology · doi:10.1111/psyp.70031 · Cited by 23 · see citing works
“…et al. 2014), and group cohesion (Gordon et al. 2020), others observed a positive relationship between physiological synchrony and negative affect (Wilson et al. 2018) or distress in couples (Levenson and Gottman 1983), suggesting that physiological synchrony does not necessarily reflect a…”
When two hearts beat as one: Heart-rate synchrony in social anxiety disorder
Asher, M., Barthel, A. L., Hofmann, S. G., Okon-Singer, H., & Aderka, I. M. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.103859 · Cited by 17 · see citing works
Tamminen, K. A., Danyluck, C., Bonk, D., & Chen, R. (2023) · Journal of Sports Sciences · doi:10.1080/02640414.2023.2259205 · Cited by 8 · see citing works
Physiological attunement and flourishing: understanding the influence of relationships on health
Bastos, M. A. V., Braz, D. F., Porto, A. L. M., Cordeiro, K. S. D. S., Portella, R. B., & Granger, D. A. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1614379 · Cited by 7 · see citing works
- Authors
- Wilson, S. J., Bailey, B. E., Jaremka, L. M., Fagundes, C. P., Andridge, R., Malarkey, W. B., Gates, K. M., & Kiecolt-Glaser, J. K.
- Affiliations
- The Ohio State University Wexner Medical Center (US)
- The Ohio State University (US)
- University of Delaware (US)
- Rice University (US)
- Oklahoma State University Medical Center (US)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Wilson, Stephanie J.
- ORCID
- Venue
- Psychoneuroendocrinology
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 93
- Pages
- 107-116
- ISSN
- 0306-4530 (ISSN-L)
- PMC
- PMC6002748
- OpenAlex
- W2803005465
- Cited by
- 88
- References
- 55
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 13 · 2023: 7 · 2022: 9 · 2021: 16 · 2020: 11 · 2019: 5 · 2018: 1 · 2017: 1
- FWCI
- 6.24
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychoneuroendocrinology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Rice Research Repository (Rice University) (acceptedVersion)
- Funders
- National Institutes of Health (UL1TR001070)
- National Institute on Aging (R00AG056667, K99AG056667, L30 AG060525)
- National Cancer Institute (K05CA172296, R21CA158868)
- National Institute of Dental and Craniofacial Research (T32DE014320)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- marital conflict, heart rate variability, physiological synchrony, couples, inflammation, interleukin-6, TNF-α, sVCAM-1, autonomic nervous system
- MeSH terms
- Adult, Conflict, Psychological, Female, Heart Rate, Hostility, Humans, Inflammation, Interpersonal Relations, Male, Marriage, Tumor Necrosis Factor-alpha, Interleukin-6, Spouses, Vascular Cell Adhesion Molecule-1, Family Conflict
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review