Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-26T07:07:29.289Z Has data issue: false hasContentIssue false

The Sickness Behavior Inventory-Revised: Sickness behavior and its associations with depression and inflammation in patients with metastatic lung cancer

Published online by Cambridge University Press:  23 November 2020

Daniel C. McFarland*
Affiliation:
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
Leah E. Walsh
Affiliation:
Department of Psychology, Fordham University, Bronx, NY
Rebecca Saracino
Affiliation:
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
Christian J. Nelson
Affiliation:
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
William Breitbart
Affiliation:
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
Barry Rosenfeld
Affiliation:
Department of Psychology, Fordham University, Bronx, NY
*
Author for correspondence: Daniel C. McFarland, Department of Psychiatry, Memorial Sloan Kettering Cancer Center, 641 Lexington Ave, New York, NY10022, USA. E-mail: [email protected]

Abstract

Background

Inflammation may contribute to the high prevalence of depressive symptoms seen in lung cancer. “Sickness behavior” is a cluster of symptoms induced by inflammation that are similar but distinct from depressive symptoms. The Sickness Behavior Inventory-Revised (SBI-R) was developed to measure sickness behavior. We hypothesized that the SBI-R would demonstrate adequate psychometric properties in association with inflammation.

Method

Participants with stage IV lung cancer (n = 92) were evaluated for sickness behavior using the SBI-R. Concomitant assessments were made of depression (Patient Hospital Questionniare-9, Hospital Anxiety and Depression Scale) and inflammation [C-reactive protein (CRP)]. Classical test theory (CTT) was applied and multivariate models were created to explain SBI-R associations with depression and inflammation. Factor Analysis was also used to identify the underlying factor structure of the hypothesized construct of sickness behavior. A longitudinal analysis was conducted for a subset of participants.

Results

The sample mean for the 12-item SBI-R was 8.3 (6.7) with a range from 0 to 33. The SBI-R demonstrated adequate internal consistency with a Cronbach's coefficient of 0.85, which did not increase by more than 0.01 with any single-item removal. This analysis examined factor loadings onto a single factor extracted using the principle components method. Eleven items had factor loadings that exceeded 0.40. SBI-R total scores were significantly correlated with depressive symptoms (r = 0.78, p < 0.001) and CRP (r = 0.47, p < 0.001). Multivariate analyses revealed that inflammation and depressive symptoms explained 67% of SBI-R variance.

Significance of results

The SBI-R demonstrated adequate reliability and construct validity in this patient population with metastatic lung cancer. The observed findings suggest that the SBI-R can meaningfully capture the presence of sickness behavior and may facilitate a greater understanding of inflammatory depression.

Type
Original Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorder, 5th ed. Arlington, VA: American Psychiatric Association.Google Scholar
Anderson, G, Berk, M and Maes, M (2014) Biological phenotypes underpin the physio-somatic symptoms of somatization, depression, and chronic fatigue syndrome. Acta Psychiatrica Scandinavica 129(2), 8397.10.1111/acps.12182CrossRefGoogle ScholarPubMed
Anisman, H, Merali, Z, Poulter, MO, et al. (2005) Cytokines as a precipitant of depressive illness: Animal and human studies. Current Pharmaceutical Design 11(8), 963972.10.2174/1381612053381701CrossRefGoogle ScholarPubMed
Bjelland, I, Dahl, AA, Haug, TT, et al. (2002) The validity of the hospital anxiety and depression scale. An updated literature review. Journal of Psychosomatic Research 52(2), 6977.10.1016/S0022-3999(01)00296-3CrossRefGoogle ScholarPubMed
Capuron, L, Gumnick, JF, Musselman, DL, et al. (2002) Neurobehavioral effects of interferon-alpha in cancer patients: Phenomenology and paroxetine responsiveness of symptom dimensions. Neuropsychopharmacology 26(5), 643652.10.1016/S0893-133X(01)00407-9CrossRefGoogle ScholarPubMed
Dantzer, R (2004) Cytokine-induced sickness behaviour: A neuroimmune response to activation of innate immunity. European Journal of Pharmacology 500(1–3), 399411.10.1016/j.ejphar.2004.07.040CrossRefGoogle ScholarPubMed
Dantzer, R (2009) Cytokine, sickness behavior, and depression. Immunology and Allergy Clinics of North America 29(2), 247264.10.1016/j.iac.2009.02.002CrossRefGoogle ScholarPubMed
Dantzer, R and Kelley, KW (2007) Twenty years of research on cytokine-induced sickness behavior. Brain, Behavior, and Immunity 21(2), 153160.10.1016/j.bbi.2006.09.006CrossRefGoogle ScholarPubMed
Dantzer, R, O'Connor, JC, Freund, GG, et al. (2008) From inflammation to sickness and depression: When the immune system subjugates the brain. Nature Reviews Neuroscience 9(1), 4656.10.1038/nrn2297CrossRefGoogle ScholarPubMed
Du, YJ, Zhang, HY, Li, B, et al. (2013) Sputum interleukin-6, tumor necrosis factor-alpha and salivary cortisol as new biomarkers of depression in lung cancer patients. Progress in Neuro-Psychopharmacology & Biological Psychiatry 47, 6976.10.1016/j.pnpbp.2013.08.004CrossRefGoogle ScholarPubMed
Felger, JC (2017) The role of dopamine in inflammation-associated depression: Mechanisms and therapeutic implications. Current Topics in Behavioral Neurosciences 31, 199219.10.1007/7854_2016_13CrossRefGoogle ScholarPubMed
Felger, JC, Li, Z, Haroon, E, et al. (2016) Inflammation is associated with decreased functional connectivity within corticostriatal reward circuitry in depression. Molecular Psychiatry 21(10), 13581365.10.1038/mp.2015.168CrossRefGoogle ScholarPubMed
Felger, JC, Haroon, E, Patel, TA, et al. (2020) What does plasma CRP tell us about peripheral and central inflammation in depression? Molecular Psychiatry 25(6), 13011311.10.1038/s41380-018-0096-3CrossRefGoogle ScholarPubMed
Grassi, L, Caruso, R, Sabato, S, et al. (2014) The UniFe psychiatry working group C. Psychosocial screening and assessment in oncology and palliative care settings. Frontiers in Psychology 5, 1485.Google Scholar
Hair, JF, Tatham, RL, Anderson, RE, et al. (1998) Multivariate Data Analysis, 5th ed. Upper Saddle River, NY: Prentice Hall.Google Scholar
Harden, LM, Kent, S, Pittman, QJ, et al. (2015) Fever and sickness behavior: Friend or foe? Brain, Behavior, and Immunity 50, 322333.10.1016/j.bbi.2015.07.012CrossRefGoogle ScholarPubMed
Haroon, E, Fleischer, CC, Felger, JC, et al. (2016) Conceptual convergence: Increased inflammation is associated with increased basal ganglia glutamate in patients with major depression. Molecular Psychiatry 21(10), 13511357.10.1038/mp.2015.206CrossRefGoogle ScholarPubMed
Hart, BL (1988) Biological basis of the behavior of sick animals. Neuroscience and Biobehavioral Reviews 12(2), 123137.10.1016/S0149-7634(88)80004-6CrossRefGoogle ScholarPubMed
Hopwood, P and Stephens, RJ (2000) Depression in patients with lung cancer: Prevalence and risk factors derived from quality-of-life data. Journal of Clinical Oncology 18(4), 893903.10.1200/JCO.2000.18.4.893CrossRefGoogle ScholarPubMed
Howren, MB, Lamkin, DM and Suls, J (2009) Associations of depression with C-reactive protein, IL-1, and IL-6: A meta-analysis. Psychosomatic Medicine 71(2), 171186.10.1097/PSY.0b013e3181907c1bCrossRefGoogle ScholarPubMed
Kappelmann, N, Lewis, G, Dantzer, R, et al. (2018) Antidepressant activity of anti-cytokine treatment: A systematic review and meta-analysis of clinical trials of chronic inflammatory conditions. Molecular Psychiatry 23(2), 335343.10.1038/mp.2016.167CrossRefGoogle ScholarPubMed
Kent, S, Bluthe, RM, Kelley, KW, et al. (1992) Sickness behavior as a new target for drug development. Trends in Pharmacological Sciences 13(1), 2428.10.1016/0165-6147(92)90012-UCrossRefGoogle ScholarPubMed
Kroenke, K, Spitzer, RL and Williams, JB (2001) The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine 16(9), 606613.10.1046/j.1525-1497.2001.016009606.xCrossRefGoogle ScholarPubMed
Lowe, B, Kroenke, K, Herzog, W, et al. (2004) Measuring depression outcome with a brief self-report instrument: Sensitivity to change of the Patient Health Questionnaire (PHQ-9). Journal of Affective Disorders 81(1), 6166.10.1016/S0165-0327(03)00198-8CrossRefGoogle Scholar
Manea, L, Gilbody, S and McMillan, D (2012) Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): A meta-analysis. CMAJ: Canadian Medical Association Journal = Journal de l'Association Medicale Canadienne 184(3), E191E196.10.1503/cmaj.110829CrossRefGoogle ScholarPubMed
McFarland, DC, Shaffer, K, Breitbart, W, et al. (2019) C-reactive protein and its association with depression in patients receiving treatment for metastatic lung cancer. Cancer 125, 779787.10.1002/cncr.31859CrossRefGoogle ScholarPubMed
Miller, AH and Raison, CL (2015) Are Anti-inflammatory therapies viable treatments for psychiatric disorders?: Where the rubber meets the road. JAMA Psychiatry 72(6), 527528.10.1001/jamapsychiatry.2015.22CrossRefGoogle Scholar
Miller, AH, Trivedi, MH and Jha, MK (2017) Is C-reactive protein ready for prime time in the selection of antidepressant medications? Psychoneuroendocrinology 84, 206.10.1016/j.psyneuen.2017.04.006CrossRefGoogle ScholarPubMed
Misiak, B, Beszlej, JA, Kotowicz, K, et al. (2018) Cytokine alterations and cognitive impairment in major depressive disorder: From putative mechanisms to novel treatment targets. Progress in Neuro-Psychopharmacology & Biological Psychiatry 80(Pt C), 177188.10.1016/j.pnpbp.2017.04.021CrossRefGoogle ScholarPubMed
Mitchell, AJ, Chan, M, Bhatti, H, et al. (2011) Prevalence of depression, anxiety, and adjustment disorder in oncological, haematological, and palliative-care settings: A meta-analysis of 94 interview-based studies. The Lancet Oncology 12(2), 160174.10.1016/S1470-2045(11)70002-XCrossRefGoogle ScholarPubMed
Moshage, HJ, Janssen, JA, Franssen, JH, et al. (1987) Study of the molecular mechanism of decreased liver synthesis of albumin in inflammation. The Journal of Clinical Investigation 79(6), 16351641.10.1172/JCI113000CrossRefGoogle ScholarPubMed
Muller, N and Schwarz, MJ (2007) The immune-mediated alteration of serotonin and glutamate: Towards an integrated view of depression. Molecular Psychiatry 12(11), 9881000.10.1038/sj.mp.4002006CrossRefGoogle ScholarPubMed
Myers, GL, Rifai, N, Tracy, RP, et al. (2004) CDC/AHA workshop on markers of inflammation and cardiovascular disease: Application to clinical and public health practice: Report from the laboratory science discussion group. Circulation 110(25), e545e549.10.1161/01.CIR.0000148980.87579.5ECrossRefGoogle Scholar
Nehring, SM, Goyal, A, Bansal, P, et al. (2020) C Reactive Protein (CRP). Treasure Island, FL: StatPearls.Google Scholar
Oken, MM, Creech, RH, Tormey, DC, et al. (1982) Toxicity and response criteria of the Eastern Cooperative Oncology Group. American Journal of Clinical Oncology 5(6), 649655.10.1097/00000421-198212000-00014CrossRefGoogle ScholarPubMed
Olbert, CM, Gala, GJ and Tupler, LA (2014) Quantifying heterogeneity attributable to polythetic diagnostic criteria: Theoretical framework and empirical application. Journal of Abnormal Psychology 123(2), 452462.10.1037/a0036068CrossRefGoogle ScholarPubMed
Pineiro, M, Pato, R, Soler, L, et al. (2018) A new automated turbidimetric immunoassay for the measurement of canine C-reactive protein. Veterinary Clinical Pathology 47(1), 130137.10.1111/vcp.12576CrossRefGoogle ScholarPubMed
Raison, CL and Miller, AH (2003) Depression in cancer: New developments regarding diagnosis and treatment. Biological Psychiatry 54(3), 283294.10.1016/S0006-3223(03)00413-XCrossRefGoogle ScholarPubMed
Rashmi, N, Galhotra, V, Goel, P, et al. (2017) Assessment of C-reactive proteins, cytokines, and plasma protein levels in hypertensive patients with apical periodontitis. The Journal of Contemporary Dental Practice 18(6), 516521.Google ScholarPubMed
Saracino, RM, Rosenfeld, B and Nelson, CJ (2018) Performance of four diagnostic approaches to depression in adults with cancer. General Hospital Psychiatry 51, 9095.10.1016/j.genhosppsych.2018.01.006CrossRefGoogle ScholarPubMed
Satin, JR, Linden, W and Phillips, MJ (2009) Depression as a predictor of disease progression and mortality in cancer patients: A meta-analysis. Cancer 115(22), 53495361.10.1002/cncr.24561CrossRefGoogle ScholarPubMed
Schellekens, MPJ, van den Hurk, DGM, Prins, JB, et al. (2016) The suitability of the Hospital Anxiety and Depression Scale, Distress Thermometer and other instruments to screen for psychiatric disorders in both lung cancer patients and their partners. Journal of Affective Disorders 203, 176183.10.1016/j.jad.2016.05.044CrossRefGoogle ScholarPubMed
Shakhar, K and Shakhar, G (2015) Why do we feel sick when infected–Can altruism play a role? PLoS Biology 13(10), e1002276.10.1371/journal.pbio.1002276CrossRefGoogle ScholarPubMed
Shattuck, EC and Muehlenbein, MP (2016) Towards an integrative picture of human sickness behavior. Brain, Behavior, and Immunity 57, 255262.10.1016/j.bbi.2016.05.002CrossRefGoogle ScholarPubMed
Sotelo, JL, Musselman, D and Nemeroff, C (2014) The biology of depression in cancer and the relationship between depression and cancer progression. International Review of Psychiatry 26(1), 1630.10.3109/09540261.2013.875891CrossRefGoogle ScholarPubMed
Steel, DM and Whitehead, AS (1994) The major acute phase reactants: C-reactive protein, serum amyloid P component and serum amyloid A protein. Immunology Today 15(2), 8188.10.1016/0167-5699(94)90138-4CrossRefGoogle ScholarPubMed
Stewart, JC, Rand, KL, Muldoon, MF, et al. (2009) A prospective evaluation of the directionality of the depression-inflammation relationship. Brain, Behavior, and Immunity 23(7), 936944.10.1016/j.bbi.2009.04.011CrossRefGoogle ScholarPubMed
Strawbridge, R, Arnone, D, Danese, A, et al. (2015) Inflammation and clinical response to treatment in depression: A meta-analysis. European Neuropsychopharmacology 25(10), 15321543.10.1016/j.euroneuro.2015.06.007CrossRefGoogle ScholarPubMed
Sullivan, DR, Forsberg, CW, Ganzini, L, et al. (2016a) Depression symptom trends and health domains among lung cancer patients in the CanCORS study. Lung Cancer 100, 102109.10.1016/j.lungcan.2016.08.008CrossRefGoogle Scholar
Sullivan, DR, Forsberg, CW, Ganzini, L, et al. (2016b) Longitudinal changes in depression symptoms and survival among patients with lung cancer: A national cohort assessment. Journal of Clinical Oncology 34(33), 39843991.10.1200/JCO.2016.66.8459CrossRefGoogle Scholar
Thekkumpurath, P, Walker, J, Butcher, I, et al. (2011) Screening for major depression in cancer outpatients: The diagnostic accuracy of the 9-item patient health questionnaire. Cancer 117(1), 218227.10.1002/cncr.25514CrossRefGoogle ScholarPubMed
Tobias, KG (2017) An Exploration of “Sickness Behavior” in Older Patients with Cancer. ETD Collection for Fordham University Psychology, Fordham University.Google Scholar
Tobias, K, Rosenfeld, B, Pessin, H, et al. (2015) Measuring sickness behavior in the context of pancreatic cancer. Medical Hypotheses 84(3), 231237.10.1016/j.mehy.2015.01.002CrossRefGoogle ScholarPubMed
Tobias, KG, Lehrfeld, J, Rosenfeld, B, et al. (2017) Confirmatory factor analysis of the Beck Depression Inventory-II in patients with advanced cancer: A theory-driven approach. Palliative & Supportive Care 15(6), 704709.10.1017/S1478951517000724CrossRefGoogle ScholarPubMed
Uher, R, Tansey, KE, Dew, T, et al. (2014) An inflammatory biomarker as a differential predictor of outcome of depression treatment with escitalopram and nortriptyline. The American Journal of Psychiatry 171(12), 12781286.10.1176/appi.ajp.2014.14010094CrossRefGoogle ScholarPubMed
Wittkampf, KA, Naeije, L, Schene, AH, et al. (2007) Diagnostic accuracy of the mood module of the Patient Health Questionnaire: A systematic review. General Hospital Psychiatry 29(5), 388395.10.1016/j.genhosppsych.2007.06.004CrossRefGoogle ScholarPubMed
Wium-Andersen, MK, Orsted, DD, Nielsen, SF, et al. (2013) Elevated C-reactive protein levels, psychological distress, and depression in 73, 131 individuals. JAMA Psychiatry 70(2), 176184.10.1001/2013.jamapsychiatry.102CrossRefGoogle ScholarPubMed
Young, K and Singh, G (2018) Biological mechanisms of cancer-induced depression. Frontiers in Psychiatry 9, 299.10.3389/fpsyt.2018.00299CrossRefGoogle ScholarPubMed
Zigmond, AS and Snaith, RP (1983) The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica 67(6), 361370.10.1111/j.1600-0447.1983.tb09716.xCrossRefGoogle ScholarPubMed