Prospective Assessment of Daily Patterns of Mood-Related Symptoms

Luísa K Pilz, Alicia Carissimi, Ana Paula Francisco, Melissa A B Oliveira, Anastasiya Slyepchenko, Kristina Epifano, Luciene L S Garay, Raul C Fabris, Marina Scop, David L Streiner, Maria Paz Hidalgo, Benicio N Frey, Luísa K Pilz, Alicia Carissimi, Ana Paula Francisco, Melissa A B Oliveira, Anastasiya Slyepchenko, Kristina Epifano, Luciene L S Garay, Raul C Fabris, Marina Scop, David L Streiner, Maria Paz Hidalgo, Benicio N Frey

Abstract

Background: The Mood Rhythm Instrument (MRI) is a new self-report questionnaire that aims to assess, the presence, and timing of daily patterns of mood-related symptoms. Here, we examined the reliability of the MRI against a prospective daily investigation over the course of 15 days. As a secondary aim, we examined whether the number of items with a perceived daily pattern correlated with severity of depressive symptoms and psychological well-being. Methods: Thirty-two participants recruited from the general population were asked to prospectively fill out a daily version of the MRI (MRI-d) for 15 days. On the 16th day, they filled out the MRI, the Beck Depression Inventory (BDI) and the World Health Organization 5-item well-being index (WHO-5). Results: The MRI showed high agreement with the MRI-d, which suggests that the MRI is a valid tool to assess daily patterns of mood symptoms. The number of mood symptoms perceived as having daily peaks correlated positively with BDI scores and negatively with WHO-5 scores. Conclusions: The MRI might be a valid tool to investigate the presence of daily patterns and the timing of mood-related factors.The MRI does not seem to be influenced by recall or recency biases. Future studies should test the usefulness of this new clinical instrument in individuals with mood disorders, as well as its ability to detect changes in the daily timing of mood symptoms before and after treatment.

Keywords: chronobiology; circadian rhythms; clinical assessment; mental health; mood; self-report questionnaire.

Figures

Figure 1
Figure 1
Frequency of days reported as having a peak by weekday for each Mood Rhythm Instrument diary (MRI-d) item. The black portion of the bars represents days where a peak was reported, whereas the gray portion represents days where a peak was not reported. For each MRI-d item, y-axis, sum of days from all participants; x-axis, weekday. No difference was detected between weekdays vs. weekends (Chi-square).
Figure 2
Figure 2
Rayleigh plots for each Mood Rhythm Instrument diary (MRI-d) item time variable. Circles represent the 24 h day. Circles along the outermost circumference represent individuals timing: full gray circles represent the median timing of reported peaks on weekdays, whereas open circles represent the median timing of reported peaks on weekends. Fiducial limits are represented.
Figure 3
Figure 3
Agreement rates between the Mood Rhythm Instrument (MRI) and the cumulative mode of the last 3, 5, 7, 11, 13, and 15 days from the Mood Rhythm Instrument diary (MRI-d). Dots show group means. Dichotomous data on each item derived from MRI and MRI-d.
Figure 4
Figure 4
Time differences between the Mood Rhythm Instrument (MRI) and the cumulative median of the last 3, 5, 7, 11, 13, and 15 days from the Mood Rhythm Instrument diary (MRI-d). Dots show group means and whiskers represent 95% confidence intervals. Time data on each item derived from MRI and MRI-d.
Figure 5
Figure 5
Correlation between the number of mood symptoms with a circadian peak (MRI) and current depressive symptoms (BDI scores), (A) and psychological well-being (WHO-5), (B) BDI: Spearman r = 0.44, p < 0.05; WHO-5: Pearson r = −0.55, p < 0.01.

References

    1. Bechtel W. Circadian rhythms and mood disorders: are the phenomena and mechanisms causally related? Syst Biol. (2015) 6:118. 10.3389/fpsyt.2015.00118
    1. Vadnie CA, McClung CA. Circadian rhythm disturbances in mood disorders: insights into the role of the Suprachiasmatic Nucleus. Neural Plast. (2017) 2017:1504507. 10.1155/2017/1504507
    1. Zaki NFW, Spence DW, BaHammam AS, Pandi-Perumal SR, Cardinali DP, Brown GM. Chronobiological theories of mood disorder. Eur Arch Psychiatry Clin Neurosci. (2018) 268:107–18. 10.1007/s00406-017-0835-5
    1. Charrier A, Olliac B, Roubertoux P, Tordjman S. Clock genes and altered sleep-wake rhythms: their role in the development of psychiatric disorders. Int J Mol Sci. (2017) 18:E938. 10.3390/ijms18050938
    1. Landgraf D, Long JE, Proulx CD, Barandas R, Malinow R, Welsh DK. Genetic disruption of circadian rhythms in the suprachiasmatic nucleus causes helplessness, behavioral despair, and anxiety-like behavior in mice. Biol Psychiatry (2016) 80:827–35. 10.1016/j.biopsych.2016.03.1050
    1. Rosenwasser AM, Wirz-Justice A. Circadian rhythms and depression: clinical and experimental models. In: Physiology and Pharmacology of Biological Rhythms Handbook of Experimental Pharmacology. Berlin; Heidelberg: Springer; (1997). p. 457–486.
    1. Seow LSE, Verma SK, Mok YM, Kumar S, Chang S, Satghare P, et al. . Evaluating DSM-5 Insomnia Disorder and the Treatment of Sleep Problems in a Psychiatric Population. J Clin Sleep Med JCSM Off Publ Am Acad Sleep Med. (2018) 14:237–44. 10.5664/jcsm.6942
    1. Soehner AM, Kaplan KA, Harvey AG. Prevalence and clinical correlates of co-occurring insomnia and hypersomnia symptoms in depression. J Affect Disord. (2014) 167:93–7. 10.1016/j.jad.2014.05.060
    1. Al-Karawi D, Jubair L. Bright light therapy for nonseasonal depression: Meta-analysis of clinical trials. J Affect Disord. (2016) 198:64–71. 10.1016/j.jad.2016.03.016
    1. Dallaspezia S, Benedetti F. Chronobiological therapy for mood disorders. Expert Rev Neurother. (2011) 11:961–70. 10.1586/ern.11.61
    1. Sit DK, McGowan J, Wiltrout C, Diler RS, Dills J, Luther J, et al. . Adjunctive bright light therapy for bipolar depression: a randomized double-blind placebo-controlled trial. Am J Psychiatry (2017) 175:131–9. 10.1176/appi.ajp.2017.16101200
    1. Smolensky MH, Hermida RC, Reinberg A, Sackett-Lundeen L, Portaluppi F. Circadian disruption: New clinical perspective of disease pathology and basis for chronotherapeutic intervention. Chronobiol Int. (2016) 33:1101–19. 10.1080/07420528.2016.1184678
    1. de Souza CM, Carissimi A, Costa D, Francisco AP, Medeiros MS, Ilgenfritz CA, et al. The mood rhythm instrument: development and preliminary report. Rev Bras Psiquiatr. (2016) 38:148–53. 10.1590/1516-4446-2015-1763
    1. Carissimi A, Oliveira MAB, Frey BN, Francisco AP, Medeiros MS, Fabris RC, et al. Spanish validation of the Mood Rhythm Instrument and its relationship with chronotype and social jetlag (submitted).
    1. Pilz LK, Carissimi A, Oliveira MAB, Francisco AP, Fabris RC, Medeiros MS, et al. . Rhythmicity of mood symptoms in individuals at risk for psychiatric disorders. Sci Rep. (2018) 8:11402 10.1038/s41598-018-29348-z
    1. Biernacki P, Waldorf D. snowball sampling: problems and techniques of chain referral sampling. Sociol Methods Res. (1981) 10:141–63. 10.1177/004912418101000205
    1. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry (1961) 4:561–71.
    1. Bech P, Olsen LR, Kjoller M, Rasmussen NK. Measuring well-being rather than the absence of distress symptoms: A comparison of the SF-36 Mental Health subscale and the WHO-Five well-being scale. Int J Methods Psychiatr Res (2006) 12:85–91. 10.1002/mpr.145
    1. de Souza CM, Hidalgo MPL. World Health Organization 5-item well-being index: validation of the Brazilian Portuguese version. Eur Arch Psychiatry Clin Neurosci. (2012) 262:239–44. 10.1007/s00406-011-0255-x
    1. Gorenstein C, Andrade L. Validation of a portuguese version of the beck depression inventory and the state-trait anxiety inventory in brazilian subjects. Braz J Med Biol Res Rev Bras Pesqui Médicas E Biológicas Soc Bras Biofísica Al. (1996) 29:453–7.
    1. Beck AT, Steer RA, Carbin MG. Psychometric properties of the beck depression inventory: twenty-five years of evaluation. Clin Psychol Rev. (1988) 8:77–100. 10.1016/0272-7358(88)90050-5
    1. Topp CW, Østergaard SD, Søndergaard S, Bech P. The WHO-5 Well-Being Index: a systematic review of the literature. Psychother Psychosom (2015) 84:167–76. 10.1159/000376585
    1. Cicchetti DV. Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess (1994) 6:284–90. 10.1037/1040-3590.6.4.284
    1. Ben-Zeev D, Young MA, Madsen JW. Retrospective recall of affect in clinically depressed individuals and controls. Cogn Emot. (2009) 23:1021–40. 10.1080/02699930802607937
    1. Takayanagi Y, Spira AP, Roth KB, Gallo JJ, Eaton WW, Mojtabai R. Accuracy of reports of lifetime mental and physical disorders: results from the Baltimore Epidemiological Catchment Area study. JAMA Psychiatry (2014) 71:273–280. 10.1001/jamapsychiatry.2013.3579
    1. Morris DW, Rush AJ, Jain S, Fava M, Wisniewski SR, Balasubramani GK, et al. . Diurnal mood variation in outpatients with major depressive disorder: implications for DSM-V from an analysis of the Sequenced Treatment Alternatives to Relieve Depression Study data. J Clin Psychiatry (2007) 68:1339–47. 10.4088/JCP.v68n0903
    1. Haug HJ, Fähndrich E. Diurnal variations of mood in depressed patients in relation to severity of depression. J Affect Disord. (1990) 19:37–41.
    1. Wefelmeyer T, Kuhs H. Diurnal mood variation in melancholic patients and healthy controls. Psychopathology (1996) 29:184–92. 10.1159/000284990
    1. Haug H-J, Wirz-Justice A. Diurnal variation of mood in depression: important or irrelevant? Biol Psychiatry (1993) 34:201–3. 10.1016/0006-3223(93)90072-L
    1. Erren TC, Reiter RJ. Revisiting chronodisruption: when the physiological nexus between internal and external times splits in humans. Naturwissenschaften (2013) 100:291–8. 10.1007/s00114-013-1026-5

Source: PubMed

Patrocinadores e Colaboradores

Condições médicas

Intervenções de drogas

3
Se inscrever