Longitudinal mood monitoring in bipolar disorder: Course of illness as revealed through a short messaging service

Journal of Affective Disorders

Volumn 223, Issue , 2017, Pages 139-145

  McKnight, Rebecca F ^a   Bilderbeck, Amy C ^a   Miklowitz, David J ^a,b   Hinds, Christopher ^a   Goodwin, Guy M ^a   Geddes, John R ^a  

^a WARNEFORD HOSPITAL   (United Kingdom)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Depression; Digital health technologies; Mania; Mood instability; Patient reported outcomes; Remote monitoring

Indexed keywords

ADULT; AGE; AGED; ARTICLE; BIPOLAR DEPRESSION; BIPOLAR DISORDER; BIPOLAR I DISORDER; BIPOLAR II DISORDER; BIPOLAR MANIA; COHORT ANALYSIS; COMPARATIVE STUDY; DISEASE COURSE; DSM-IV; FEASIBILITY STUDY; FEMALE; FOLLOW UP; HUMAN; HYPOMANIA; INFANT; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MENTAL INSTABILITY; ONLINE SYSTEM; PATIENT COMPLIANCE; PATIENT-REPORTED OUTCOME; PRIORITY JOURNAL; QUESTIONNAIRE; REMOTE SENSING; SELF CONCEPT; SEX DIFFERENCE; SYMPTOM ASSESSMENT; TEXT MESSAGING; ADOLESCENT; DEPRESSION; MIDDLE AGED; MOOD DISORDER; PATHOPHYSIOLOGY; TELECONSULTATION; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; BIPOLAR DISORDER; DEPRESSIVE DISORDER; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; MIDDLE AGED; MOOD DISORDERS; PATIENT COMPLIANCE; REMOTE CONSULTATION; SURVEYS AND QUESTIONNAIRES; TEXT MESSAGING; YOUNG ADULT;

EID: 85025811819     PISSN: 01650327     EISSN: 15732517     Source Type: Journal    
DOI: 10.1016/j.jad.2017.07.029     Document Type: Article

References (46)

1. Altman, E.G., Hedeker, D., Peterson, J.L., Davis, J.M., The Altman self-rating Mania scale. Biol. Psychiatry 42 (1997), 948–955.
2. APA, Diagnostic and Statistical Manual of Mental Disorders. 4th edition, 2000, American Psychiatric Association, Washington DS (text revision ed.).
3. Bauer, M., Glenn, T., Grof, P., Rasgon, N.L., Marsh, W., Sagduyu, K., Alda, M., Lewitzka, U., Sasse, J., Kozuch-Krolik, E., Whybrow, P.C., Frequency of subsyndromal symptoms and employment status in patients with bipolar disorder. Soc. Psychiatry Psychiatr. Epidemiol. 44 (2009), 515–522.
4. Bauer, M., Grof, P., Gyulai, L., Rasgon, N., Glenn, T., Whybrow, P.C., Using technology to improve longitudinal studies: self-reporting with ChronoRecord in bipolar disorder. Bipolar Disord. 6 (2004), 67–74.
5. Bauer, M.S., Vojta, C., Kinosian, B., Altshuler, L., Glick, H., The internal state scale: replication of its discriminating abilities in a multisite, public sector sample. Bipolar Disord. 2 (2000), 340–346.
6. Bilderbeck, A.C., Atkinson, L.Z., McMahon, H.C., Voysey, M., Simon, J., Price, J., Rendell, J., Hinds, C., Geddes, J.R., Holmes, E., Miklowitz, D.J., Goodwin, G.M., Psychoeducation and online mood tracking for patients with bipolar disorder: a randomised controlled trial. J. Affect. Disord. 205 (2016), 245–251.
7. Bopp, J.M., Miklowitz, D.J., Goodwin, G.M., Stevens, W., Rendell, J.M., Geddes, J.R., The longitudinal course of bipolar disorder as revealed through weekly text messaging: a feasibility study. Bipolar Disord. 12 (2010), 327–334.
8. Broadhead, J., Jacoby, R., Mania in old-age – a 1st prospective-study. Int J. Geriatr. Psych. 5 (1990), 215–222.
9. Chinman, M., Young, A.S., Schell, T., Hassell, J., Mintz, J., Computer-assisted self-assessment in persons with severe mental illness. J. Clin. Psychiatry 65 (2004), 1343–1351.
10. Denicoff, K.D., Leverich, G.S., Nolen, W.A., Rush, A.J., McElroy, S.L., Keck, P.E., Suppes, T., Altshuler, L.L., Kupka, R., Frye, M.A., Hatef, J., Brotman, M.A., Post, R.M., Validation of the prospective NIMH-Life-Chart Method (NIMH-LCM (TM)-p) for longitudinal assessment of bipolar illness. Psychol. Med. 30 (2000), 1391–1397.
11. Denicoff, K.D., SmithJackson, E.E., Disney, E.R., Suddath, R.L., Leverich, G.S., Post, R.M., Preliminary evidence of the reliability and validity of the prospective life-chart methodology (LCM-p). J. Psychiatr. Res. 31 (1997), 593–603.
12. Depp, C.A., Jeste, D.V., Bipolar disorder in older adults: a critical review. Bipolar Disord. 6 (2004), 343–367.
13. Diflorio, A., Jones, I., Is sex important? Gender differences in bipolar disorder. Int. Rev. Psychiatr. 22 (2010), 437–452.
14. Faurholt-Jepsen, M., Brage, S., Vinberg, M., Jensen, H.M., Christensen, E.M., Knorr, U., Kessing, L.V., Electronic monitoring of psychomotor activity as a supplementary objective measure of depression severity. Nord. J. Psychiatry 69 (2015), 118–125.
15. Faurholt-Jepsen, M., Ritz, C., Frost, M., Mikkelsen, R.L., Christensen, E.M., Bardram, J., Vinberg, M., Kessing, L.V., Mood instability in bipolar disorder type I versus type II-continuous daily electronic self-monitoring of illness activity using smartphones. J. Affect. Disord. 186 (2015), 342–349.
16. Frye, M.A., Altshuler, L.L., McElroy, S.L., Suppes, T., Keck, P.E., Denicoff, K., Nolen, W.A., Kupka, R., Leverich, G.S., Pollio, C., Grunze, H., Walden, J., Post, R.M., Gender differences in prevalence, risk, and clinical correlates of alcoholism comorbidity in bipolar disorder. Am. J. Psychiatry 160 (2003), 883–889.
17. Gershon, A., Eidelman, P., Inter-episode affective intensity and instability: Predictors of depression and functional impairment in bipolar disorder. J. Behav. Ther. Exp. Psychiatry, 2015, 14–18.
18. Henry, C., Van den Bulke, D., Bellivier, F., Roy, I., Swendsen, J., M'Bailara, K., Siever, L.J., Leboyer, M., Affective liability and affect intensity as core dimensions of bipolar disorders during euthymic period. Psychiatry Res. 159 (2008), 1–6.
19. Howes, O.D., Lim, S., Theologos, G., Yung, A.R., Goodwin, G.M., McGuire, P., A comprehensive review and model of putative prodromal features of bipolar affective disorder. Psychol. Med. 41 (2011), 1567–1577.
20. Jahng, S., Wood, P.K., Trull, T.J., Analysis of affective instability in ecological momentary assessment: indices using successive difference and group comparison via multilevel modeling. Psychol. Methods 13 (2008), 354–375.
21. Jahng, S., W.P, Trull, T.J., Analysis of affective instability in ecological momentary assessment: indices using successive difference and group comparison via multilevel modeling. Psychol. Methods 13 (2008), 354–375.
22. Joffe, R.T., MacQueen, G.M., Marriott, M., Young, L.T., A prospective, longitudinal study of percentage of time spent ill in patients with bipolar I or bipolar II disorders. Bipolar Disord. 6 (2004), 62–66.
23. Judd, L.L., Akiskal, H.S., Depressive episodes and symptoms dominate the longitudinal course of bipolar disorder. Curr. Psychiatry Rep. 5 (2003), 417–418.
24. Judd, L.L., Akiskal, H.S., Schettler, P.J., Coryell, W., Endicott, J., Maser, J.D., Solomon, D.A., Leon, A.C., Keller, M.B., A prospective investigation of the natural history of the long-term weekly symptomatic status of bipolar II disorder. Arch. General. Psychiatry 60 (2003), 261–269.
25. Judd, L.L., Akiskal, H.S., Schettler, P.J., Endicott, J., Maser, J., Solomon, D.A., Leon, A.C., Rice, J.A., Keller, M.B., The long-term natural history of the weekly symptomatic status of bipolar I disorder. Arch. General. Psychiatry 59 (2002), 530–537.
26. Judd, L.L., Paulus, M.J., Schettler, P.J., Akiskal, H.S., Endicott, J., Leon, A.C., Maser, J.D., Mueller, T., Solomon, D.A., Keller, M.B., Does incomplete recovery from first lifetime major depressive episode herald a chronic course of illness?. Am. J. Psychiatry 157 (2000), 1501–1504.
27. Kupfer, D.J., Frank, E., Grochocinski, V.J., Cluss, P.A., Houck, P.R., Stapf, D.A., Demographic and clinical characteristics of individuals in a bipolar disorder case registry. J. Clin. Psychiatry 63 (2002), 120–125.
28. Kupka, R.W., Altshuler, L.L., Nolen, W.A., Suppes, T., Luckenbaugh, D.A., Leverich, G.S., Frye, M.A., Keck, P.E. Jr., McElroy, S.L., Grunze, H., Post, R.M., Three times more days depressed than manic or hypomanic in both bipolar I and bipolar II disorder. Bipolar Disord. 9 (2007), 531–535.
29. MacQueen, G.M., Marriott, M., Begin, H., Robb, J., Joffe, R.T., Young, L.T., Subsyndromal symptoms assessed in longitudinal, prospective follow-up of a cohort of patients with bipolar disorder. Bipolar Disord. 5 (2003), 349–355.
30. Microsoft, Microsoft Excel 2010. 2010, Microsoft, Washington D.C., USA.
31. Miklowitz, D.J., Price, J., Holmes, E.A., Rendell, J., Bell, S., Budge, K., Christensen, J., Wallace, J., Simon, J., Armstrong, N.M., McPeake, L., Goodwin, G.M., Geddes, J.R., Facilitated Integrated Mood Management for adults with bipolar disorder. Bipolar Disord. 14 (2012), 185–197.
32. Naslund, J.A., Marsch, L.A., McHugo, G.J., Bartels, S.J., Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature. J. Ment. Health, 2015, 1–12.
33. Nicholas, J., Larsen, M.E., Proudfoot, J., Christensen, H., Mobile apps for bipolar disorder: a systematic review of features and content quality. J. Med. Internet Res., 17, 2015, 14.
34. Nivoli, A.M.A., Pacchiarotti, I., Rosa, A.R., Popovic, D., Murru, A., Valenti, M., Bonnin, C.M., Grande, I., Sanchez-Moreno, J., Vieta, E., Colom, F., Gender differences in a cohort study of 604 bipolar patients: the role of predominant polarity. J. Affect. Disord. 133 (2011), 443–449.
35. Perlis, R.H., Brown, E., Baker, R.W., Nierenberg, A.A., Clinical features of bipolar depression versus major depressive disorder in large multicenter trials. Am. J. Psychiatry 163 (2006), 225–231.
36. Picinelli, M., Wilkinson, G., Gender differences in depression. Crit. Rev. 177 (2000), 486–492.
37. Post, R.M., Denicoff, K.D., Leverich, G.S., Altshuler, L.L., Frye, M.A., Suppes, T.M., Rush, A.J., Keck, P.E., McElroy, S.L., Luckenbaugh, D.A., Pollio, C., Kupka, R., Nolen, W.A., Morbidity in 258 bipolar outpatients followed for 1 year with daily prospective ratings on the NIMH Life Chart Method. J. Clin. Psychiatry 64 (2003), 680–690.
38. Proudfoot, J., Whitton, A.E., Parker, G., Manicavasagar, V., Nicholas, J., Smith, M., Evidence of weekly cyclicity in mood and functional impairment in those with a bipolar disorder. Psychiatry Res. 218 (2014), 290–294.
39. Rush, A.J., Trivedi, M.H., Ibrahim, H.M., Carmody, T.J., Arnow, B., Klein, D.N., Markowitz, J.C., Ninan, P.T., Kornstein, S., Manber, R., Thase, M.E., Kocsis, J.H., Keller, M.B., The 16-item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression. Biol. Psychiatry 54 (2003), 573–583.
40. Scharer, L.O., Hartweg, V., Valerius, G., Graf, M., Hoern, M., Biedermann, C., Walser, S., Boensch, A., Dittmann, S., Forsthoff, A., Hummel, B., Grunze, H., Walden, J., Life charts on a palmtop computer: first results of a feasibility study with an electronic diary for bipolar patients. Bipolar Disord. 4 (2002), 107–108.
41. SPSS.v.20, 2011. SPSS Statistics for Windows V.20. SPSS Ltd., Chicago, USA.
42. Stange, J.P., Sylvia, L.G., Magalhaes, P.V.D., Miklowitz, D.J., Otto, M.W., Frank, E., Yim, C., Berk, M., Dougherty, D.D., Nierenberg, A.A., Deckersbach, T., Affective instability and the course of bipolar depression: results from the STEP-BD randomised controlled trial of psychosocial treatment. Br. J. Psychiatry 208 (2016), 352–358.
43. Suppes, T., Leverich, G.S., Keck, P.E. Jr, Nolen, W.A., Denicoff, K.D., Altshuler, L.L., McElroy, S.L., Rush, A.J., Kupka, R., Frye, M.A., Bickel, M., Post, R.M., The Stanley Foundation bipolar treatment outcome network: II. Demographics and illness characteristics of the first 261 patients. J. Affect. Disord. 67 (2001), 45–59.
44. Taylor, M.A., Abrams, R., Gender differences in bipolar affective-disorder. J. Affect. Disord. 3 (1981), 261–271.
45. Tsanas, A., Saunders, K.E.A., Bilderbeck, A.C., Palmius, N., Osipov, M., Clifford, G.D., Goodwin, G.M., De Vos, M., Daily longitudinal self-monitoring of mood variability in bipolar disorder and borderline personality disorder. J. Affect. Disord. 205 (2016), 225–233.
46. Youngstrom, E.A., Raw data for meta-analysis of discriminative validity of caregiver, youth, and teacher report for pediatric bipolar disorder – all English publications through end of 2014. Inter-Univ. Consort. Political Social. Res., 2015.