Abstract
Background
The current studies investigated associations between pain intensity and pain frequency with loneliness, hostility, and social functioning using cross-sectional, longitudinal, and within-person data from community-dwelling adults with varying levels of pain.
Method
Secondary analysis of preexisting data was conducted. Study 1 investigated cross-sectional (baseline data: n = 741) and longitudinal (follow-up data: n = 549, observed range between baseline and follow-up: 6–53 months) associations. Study 2 tested within-person associations using daily diaries across 30 days from a subset of the participants in Study 1 (n = 69).
Results
Cross-sectionally, pain intensity and frequency were associated with higher loneliness (βintensity = 0.16, βfrequency = 0.17) and worse social functioning (βintensity = − 0.40, βfrequency = − 0.34). Intensity was also associated with higher hostility (β = 0.11). Longitudinally, pain intensity at baseline predicted hostility (β = 0.19) and social functioning (β = − 0.20) at follow-up, whereas pain frequency only predicted social functioning (β = − 0.21). Within people, participants reported higher hostility (γ = 0.002) and worse social functioning (γ = − 0.013) on days with higher pain, and a significant average pain by daily pain interaction was found for loneliness. Pain intensity did not predict social well-being variables on the following day.
Conclusion
Pain intensity and frequency were associated with social well-being, although the effects were dependent on the social well-being outcome and the time course being examined.
Similar content being viewed by others
References
Master SL, Eisenberger NI, Taylor SE, Naliboff BD, Shirinyan D, Lieberman MD. A picture's worth: partner photographs reduce experimentally induced pain. Psychol Sci. 2009;20(11):1316–8. https://doi.org/10.1111/j.1467-9280.2009.02444.x.
Eisenberger NI. Social pain and the brain: controversies, questions, and where to go from here. Annu Rev Psychol. 2015;66:601–29. https://doi.org/10.1146/annurev-psych-010213-115146.
Craig KD. Social communication model of pain. Pain. 2015;156(7):1198–9. https://doi.org/10.1097/j.pain.0000000000000185.
Sullivan MJ. The communal coping model of pain catastrophising: clinical and research implications. Can Psychol. 2012;53(1):32–41. https://doi.org/10.1037/a0026726.
Martin LJ, Tuttle AH, Mogil, JS. The interaction between pain and social behavior in humans and rodents. In Behavioral Neurobiology of Chronic Pain. Berlin: Springer; 2014. pp. 233–250.
Brown JL, Sheffield D, Leary MR, Robinson ME. Social support and experimental pain. Psychosom Med. 2003;65(2):276–83. https://doi.org/10.1097/01.PSY.0000030388.62434.46.
Martin LJ, Hathaway G, Isbester K, Mirali S, Acland EL, Niederstrasser N, et al. Reducing social stress elicits emotional contagion of pain in mouse and human strangers. Curr Biol. 2015;25(3):326–32. https://doi.org/10.1016/j.cub.2014.11.028.
Stewart AL, Greenfield S, Hays RD, Wells K, Rogers WH, Berry SD, et al. Functional status and well-being of patients with chronic conditions: results from the medical outcomes study. JAMA. 1989;262(7):907–13.
Forgeron PA, King S, Stinson JN, McGrath PJ, MacDonald AJ, Chambers CT. Social functioning and peer relationships in children and adolescents with chronic pain: a systematic review. Pain Res Manag. 2010;15(1):27–41. https://doi.org/10.1155/2010/820407.
Golden J, Conroy RM, Bruce I, Denihan A, Greene E, Kirby M, et al. Loneliness, social support networks, mood and wellbeing in community-dwelling elderly. Int J Geriatr Psychiatry. 2009;24(7):694–700. https://doi.org/10.1002/gps.2181.
McDowell TL, Serovich JM. The effect of perceived and actual social support on the mental health of HIV-positive persons. AIDS Care. 2007;19(10):1223–9. https://doi.org/10.1080/0954012070140283.
Peplau LA. Loneliness: a sourcebook of current theory, research, and therapy, vol. 36. Hoboken: Wiley; 1982.
Wolf LD, Davis MC. Loneliness, daily pain, and perceptions of interpersonal events in adults with fibromyalgia. Health Psychol. 2014;33(9):929–37. https://doi.org/10.1037/hea0000059.
Emerson K, Boggero I, Ostir G, Jayawardhana J. Pain as a risk factor for loneliness among older adults. J Aging Health. 2017;30:1450–61. https://doi.org/10.1177/0898264317721348.
Jacobs JM, Hammerman-Rozenberg R, Cohen A, Stessman J. Chronic back pain among the elderly: prevalence, associations, and predictors. Spine. 2006;31(7):203–7. https://doi.org/10.1097/01.brs.0000206367.57918.3c.
Hanssen DJ, Naarding P, Collard RM, Comijs HC, Voshaar RCO. Physical, lifestyle, psychological, and social determinants of pain intensity, pain disability, and the number of pain locations in depressed older adults. Pain. 2014;155(10):2088–96. https://doi.org/10.1016/j.pain.2014.07.019.
Jaremka LM, Fagundes CP, Glaser R, Bennett JM, Malarkey WB, Kiecolt-Glaser JK. Loneliness predicts pain, depression, and fatigue: understanding the role of immune dysregulation. Psychoneuroendocrin. 2013;38(8):1310–7. https://doi.org/10.1016/j.psyneuen.2012.11.016.
Karayannis NV, Baumann I, Sturgeon JA, Melloh M, Mackey SC. The impact of social isolation on pain interference: a longitudinal study. Ann Behav Med. 2019;53:65–74. https://doi.org/10.1093/abm/kay017.
Wolf LD, Davis MC, Yeung EW, Tennen HA. The within-day relation between lonely episodes and subsequent clinical pain in individuals with fibromyalgia: mediating role of pain cognitions. J Psychosom Res. 2015;79(3):202–6. https://doi.org/10.1016/j.jpsychores.2014.12.018.
Burns JW. Anger management style and hostility: predicting symptom-specific physiological reactivity among chronic low back pain patients. J Behav Med. 1997;20(6):505–22.
Burke AL, Mathias JL, Denson LA. Psychological functioning of people living with chronic pain: a meta-analytic review. Br J Clin Psychol. 2015;54(3):345–60. https://doi.org/10.1111/bjc.12078.
Anderson KB, Anderson CA, Dill KE. Hostility, pain, and aggressive thoughts. Aggress Behav. 1998;24:161–71.
Burns JW, Gerhart JI, Post KM, Smith DA, Porter LS, Schuster E, et al. The communal coping model of pain catastrophizing in daily life: a within-couples daily diary study. J Pain. 2015;16(11):1163–75. https://doi.org/10.1016/j.jpain.2015.08.005.
Desrosiers M, Bergeron S, Meana M, Leclerc B, Binik YM, Khalifé S. Psychosexual characteristics of vestibulodynia couples: partner solicitousness and hostility are associated with pain. J Sex Med. 2008;5(2):418–27. https://doi.org/10.1111/j.1743-6109.2007.00705.x.
Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Med Care. 1992:473–83.
Brazier JE, Harper R, Jones NM, O'cathain A, Thomas KJ, Usherwood T, et al. Validating the SF-36 health survey questionnaire: new outcome measure for primary care. Br Med J. 1992;305(6846):160–4. https://doi.org/10.1136/bmj.305.6846.160.
Osborne TL, Jensen MP, Ehde DM, Hanley MA, Kraft G. (2007). Psychosocial factors associated with pain intensity, pain-related interference, and psychological functioning in persons with multiple sclerosis and pain. Pain. 2007;127(1):52–62. https://doi.org/10.1016/j.pain.2006.07.017.
Kashikar-Zuck S, Lynch AM, Graham TB, Swain NF, Mullen SM, Noll RB. Social functioning and peer relationships of adolescents with juvenile fibromyalgia syndrome. Arthritis Care Res. 2007;57(3):474–80. https://doi.org/10.1002/art.22615.
Kievit R, Frankenhuis WE, Waldorp L, Borsboom D. Simpson's paradox in psychological science: a practical guide. Front Psychol. 2013;4:513–27. https://doi.org/10.3389/fpsyg.2013.00513.
Johannes CB, Le TK, Zhou X, Johnston JA, Dworkin RH. The prevalence of chronic pain in United States adults: results of an internet-based survey. J Pain. 2010;11(11):1230–9. https://doi.org/10.1016/j.jpain.2010.07.002.
Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063–70. https://doi.org/10.1037/0022-3514.54.6.1063.
Boggero IA, Rojas-Ramirez MV, Carlson CR. All fatigue is not created equal: the association of fatigue and its subtypes on pain interference in orofacial pain. Clin J Pain. 2017;33(3):231–7. https://doi.org/10.1097/AJP.0000000000000391.
Alschuler KN, Kratz AL, Ehde DM. Resilience and vulnerability in individuals with chronic pain and physical disability. Rehabil Psychol. 2016;61(1):7–18. https://doi.org/10.1037/rep0000055.
Dimitriadis Z, Kapreli E, Strimpakos N, Oldham J. Do psychological states associate with pain and disability in chronic neck pain patients? J Back Musculoskelet Rehabil. 2015;28(4):797–802. https://doi.org/10.3233/BMR-150587.
Boggero IA, Kniffin TC, de Leeuw R, Carlson CR. Fatigue mediates the relationship between pain interference and distress in patients with persistent orofacial pain. J Oral Facial Pain Headache. 2014;28(1):38–45. https://doi.org/10.11607/jop.1204.
Bruehl S, Liu X, Burns JW, Chont M, Jamison RN. Associations between daily chronic pain intensity, daily anger expression, and trait anger expressiveness: an ecological momentary assessment study. Pain. 2012;153(12):2352–8. https://doi.org/10.1016/j.pain.2012.08.001.
Hilderink PH, Burger H, Deeg DJ, Beekman AT, Voshaar RCO. The temporal relation between pain and depression: results from the longitudinal aging study Amsterdam. Psychosom Med. 2012;74(9):945–51. https://doi.org/10.1097/PSY.0b013e3182733fdd.
Vlaeyen JW, Linton SJ. Fear-avoidance and its consequences in chronic musculoskeletal pain: a state of the art. Pain. 2000;85(3):317–32. https://doi.org/10.1016/S0304-3959(99)00242-0.
Boggero IA, Eisenlohr-Moul T, Segerstrom SC. Task-switching ability protects against the adverse effects of pain on health: a longitudinal study of older adults. Br J Health Psychol. 2016;21(2):434–50. https://doi.org/10.1111/bjhp.12178.
Enders CK, Tofighi D. Centering predictor variables in cross-sectional multilevel models: a new look at an old issue. Psychol Methods. 2007;12:121–38. https://doi.org/10.1037/1082-989X.12.2.121.
Nakagawa S, Schielzeth H. A general and simple method for obtaining R2 from generalized linear mixed effects models. Methods Ecol Evol. 2013;4(2):133–42. https://doi.org/10.1111/j.2041-210x.2012.00261.x.
Funding
This research was funded by the National Institute on Aging of the National Institutes of Health under Award Numbers F31AG048692, R01AG026006, and K02AG033629 and by the National Multiple Sclerosis Society under Award Number MB0026.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Disclaimer
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Conflict of Interest
The authors declare that they have no conflict of interest.
Human and Animal Rights and Informed Consent
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Boggero, I.A., Sturgeon, J.A., Arewasikporn, A. et al. Associations of Pain Intensity and Frequency With Loneliness, Hostility, and Social Functioning: Cross-Sectional, Longitudinal, and Within-Person Relationships. Int.J. Behav. Med. 26, 217–229 (2019). https://doi.org/10.1007/s12529-019-09776-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12529-019-09776-5