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Published in: Supportive Care in Cancer 2/2021

Open Access 01-02-2021 | Insomnia | Original Article

Comparison of subjectively and objectively assessed sleep problems in breast cancer patients starting neoadjuvant chemotherapy

Authors: Charlotte Kreutz, Jana Müller, Martina E. Schmidt, Karen Steindorf

Published in: Supportive Care in Cancer | Issue 2/2021

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Abstract

Purpose

To characterize sleep problems and to compare subjective and objective assessments in breast cancer patients starting neoadjuvant chemotherapy.

Methods

Sleep characteristics of 54 breast cancer patients starting neoadjuvant chemotherapy were analyzed. Subjective sleep characteristics were assessed with the Pittsburgh Sleep Quality Index (PSQI) and objective sleep measurements with an accelerometer (ActiGraph wGT3X-BT) worn on the wrist for 7 consecutive days.

Results

According to the common PSQI cut-off of 8, 10 (18.87%) of the patients were poor sleepers. ActiGraph measures did not mirror this classification as values for poor, and good sleepers did not differ significantly. Overall, Bland-Altman plots illustrated higher ActiGraph values for sleep efficiency and effective sleep time and lower values for sleep latency, compared with PSQI. For total sleep time, less disagreement between both measures was observed. Actigraphy was limited in precise identification of sleep begin and sleep latency but provided supplementary information about number and minutes of awakenings during the night.

Conclusion

Subjective and objective measurement methods differed substantially in various parameters, with limitations in both methods. A combination of both methods might be most promising.

Trial Registration

Appendix
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Literature
2.
go back to reference Malone M, Harris A, Luscombe D (1994) Assessment of the impact of cancer on work, recreation, home management and sleep using a general health status measure. J R Soc Med 87(7):386–389PubMedPubMedCentral Malone M, Harris A, Luscombe D (1994) Assessment of the impact of cancer on work, recreation, home management and sleep using a general health status measure. J R Soc Med 87(7):386–389PubMedPubMedCentral
4.
go back to reference Savard J, Simard S, Blanchet J, Ivers H, Morin CM (2001) Prevalence, clinical characteristics, and risk factors for insomnia in the context of breast cancer. Sleep 24:583–590CrossRef Savard J, Simard S, Blanchet J, Ivers H, Morin CM (2001) Prevalence, clinical characteristics, and risk factors for insomnia in the context of breast cancer. Sleep 24:583–590CrossRef
5.
go back to reference Zhai L, Zhang H, Zhang D (2015) Sleep duration and depression among adults: a meta-analysis of prospective studies. Depress Anxiety 32:664–670CrossRef Zhai L, Zhang H, Zhang D (2015) Sleep duration and depression among adults: a meta-analysis of prospective studies. Depress Anxiety 32:664–670CrossRef
6.
go back to reference Rissling BM, Gray KE, Ulmer CS (2016) Sleep disturbance, diabetes, and cardiovascular disease in postmenopausal veteran women. Gerontologist 56:54–66CrossRef Rissling BM, Gray KE, Ulmer CS (2016) Sleep disturbance, diabetes, and cardiovascular disease in postmenopausal veteran women. Gerontologist 56:54–66CrossRef
7.
go back to reference Suzuki E, Yorifuji T, Ueshima K (2009) Sleep duration, sleep quality and cardiovascular disease mortality among the elderly: a population-based cohort study. Prev Med 49:135–141CrossRef Suzuki E, Yorifuji T, Ueshima K (2009) Sleep duration, sleep quality and cardiovascular disease mortality among the elderly: a population-based cohort study. Prev Med 49:135–141CrossRef
8.
go back to reference Yaffe K, Laffan AM, Harrison SL (2011) Sleep-disordered breathing, hypoxia, and risk of mild cognitive impairment and dementia in older women. JAMA 306:613–619PubMedPubMedCentral Yaffe K, Laffan AM, Harrison SL (2011) Sleep-disordered breathing, hypoxia, and risk of mild cognitive impairment and dementia in older women. JAMA 306:613–619PubMedPubMedCentral
10.
go back to reference Van de Water AT, Holmes A, Hurley DA (2011) Objective measurements of sleep for non-laboratory settings as alternatives to polysomnography—a systematic review. J Sleep Res 20:183–200CrossRef Van de Water AT, Holmes A, Hurley DA (2011) Objective measurements of sleep for non-laboratory settings as alternatives to polysomnography—a systematic review. J Sleep Res 20:183–200CrossRef
11.
go back to reference Brown AC, Smolensky MH, D’Alonzo GE, Redman DP (1990) Actigraphy: a means of assessing circadian patterns in human activity. Chronobiol Int 7:125–133CrossRef Brown AC, Smolensky MH, D’Alonzo GE, Redman DP (1990) Actigraphy: a means of assessing circadian patterns in human activity. Chronobiol Int 7:125–133CrossRef
12.
go back to reference Tyron WW (2004) Issues of validity in actigraphic sleep assessment. Sleep 27(1):158–165CrossRef Tyron WW (2004) Issues of validity in actigraphic sleep assessment. Sleep 27(1):158–165CrossRef
13.
go back to reference Mollayeva T, Thurairajah P, Burton K, Mollayeva S, Shapiro CM, Colantonio A (2016) The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: a systematic review and meta-analysis. Sleep Med Rev 25:52–73CrossRef Mollayeva T, Thurairajah P, Burton K, Mollayeva S, Shapiro CM, Colantonio A (2016) The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: a systematic review and meta-analysis. Sleep Med Rev 25:52–73CrossRef
14.
go back to reference Backhaus J, Junghanns K, Broocks A, Riemann D, Hohagen F (2002) Test–retest reliability and validity of the Pittsburgh Sleep Quality Index in primary insomnia. J Psychosom Res 53:737–740CrossRef Backhaus J, Junghanns K, Broocks A, Riemann D, Hohagen F (2002) Test–retest reliability and validity of the Pittsburgh Sleep Quality Index in primary insomnia. J Psychosom Res 53:737–740CrossRef
15.
go back to reference Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychatry Res 28:193–213CrossRef Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychatry Res 28:193–213CrossRef
17.
go back to reference Buysse DJ, Reynolds CF, Monk TH, Hoch CC, Yeager AL, Kupfer DJ (1991) Quantification of subjective sleep quality in healthy elderly men and women using the Pittsburgh Sleep Quality Index (PSQI). Sleep 14:331–338PubMed Buysse DJ, Reynolds CF, Monk TH, Hoch CC, Yeager AL, Kupfer DJ (1991) Quantification of subjective sleep quality in healthy elderly men and women using the Pittsburgh Sleep Quality Index (PSQI). Sleep 14:331–338PubMed
18.
go back to reference Mondal P, Gjevre JA, Taylor-Gjevre RM, Lim HJ (2013) Relationship between the Pittsburgh Sleep Quality Index and the Epworth sleepiness scale in a sleep laboratory referral population. Nat Sci Sleep 5:15–21PubMedPubMedCentral Mondal P, Gjevre JA, Taylor-Gjevre RM, Lim HJ (2013) Relationship between the Pittsburgh Sleep Quality Index and the Epworth sleepiness scale in a sleep laboratory referral population. Nat Sci Sleep 5:15–21PubMedPubMedCentral
20.
go back to reference Sadeh A, Sharkey KM, Carskadon MA (1994) Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep 17:201–207CrossRef Sadeh A, Sharkey KM, Carskadon MA (1994) Activity-based sleep-wake identification: an empirical test of methodological issues. Sleep 17:201–207CrossRef
21.
go back to reference Jean-Louis G (2001) Sleep estimation from wrist movement quantified by different actigraphic modalities. J Neurosci Methods 105(2):185–191CrossRef Jean-Louis G (2001) Sleep estimation from wrist movement quantified by different actigraphic modalities. J Neurosci Methods 105(2):185–191CrossRef
22.
go back to reference Jean-Louis G, Kripke GF, Mason WJ, Elliott JA, Youngstedt SD (1996) Determination of sleep and wakefulness with the actigraph data analysis software (ADAS). Sleep 19(9):739–743PubMed Jean-Louis G, Kripke GF, Mason WJ, Elliott JA, Youngstedt SD (1996) Determination of sleep and wakefulness with the actigraph data analysis software (ADAS). Sleep 19(9):739–743PubMed
23.
go back to reference Blood ML, Sack RL, Percy DC, Pen JC (1997) A comparison of sleep detection by wrist actigraphy, behavioral response, and polysomnography. Sleep 20(6):388–395PubMed Blood ML, Sack RL, Percy DC, Pen JC (1997) A comparison of sleep detection by wrist actigraphy, behavioral response, and polysomnography. Sleep 20(6):388–395PubMed
25.
go back to reference Conley S, Knies A, Batten J, Ash G, Miner B, Hwang Y, Jeon S, Redeker NS (2019) Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: a systematic review and meta-analysis. Sleep Med Rev 46:151–160CrossRef Conley S, Knies A, Batten J, Ash G, Miner B, Hwang Y, Jeon S, Redeker NS (2019) Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: a systematic review and meta-analysis. Sleep Med Rev 46:151–160CrossRef
28.
go back to reference Berger AM, Farr LA, Kuhn BR, Fischer P, Agrawal S (2007) Values of sleep/wake, activity/rest, circadian rhythms, and fatigue prior to adjuvant breast cancer chemotherapy. J Pain Symptom Manag 33(4):398–409CrossRef Berger AM, Farr LA, Kuhn BR, Fischer P, Agrawal S (2007) Values of sleep/wake, activity/rest, circadian rhythms, and fatigue prior to adjuvant breast cancer chemotherapy. J Pain Symptom Manag 33(4):398–409CrossRef
29.
go back to reference Ancoli-Israel S, Liu L, Marler MR, Parker BA, Jones V, Sadler GR, Dimsdale J, Cohen-Zion M, Fiorentino L (2006) Fatigue, sleep, and circadian rhythms prior to chemotherapy for breast cancer. Support Care Cancer 14(3):201–207CrossRef Ancoli-Israel S, Liu L, Marler MR, Parker BA, Jones V, Sadler GR, Dimsdale J, Cohen-Zion M, Fiorentino L (2006) Fatigue, sleep, and circadian rhythms prior to chemotherapy for breast cancer. Support Care Cancer 14(3):201–207CrossRef
32.
go back to reference Grutsch JF, Wood PA, Du-Quiton J, Reynolds JL, Lis CG, Levin RD, Daehler MA, Gupta D, Quiton DFT, Hrushesky WJM (2011) Validation of actigraphy to assess circadian organization and sleep quality in patients with advanced lung cancer. J Circadian Rhythms 9(4). https://doi.org/10.1186/1740-3391-9-4 Grutsch JF, Wood PA, Du-Quiton J, Reynolds JL, Lis CG, Levin RD, Daehler MA, Gupta D, Quiton DFT, Hrushesky WJM (2011) Validation of actigraphy to assess circadian organization and sleep quality in patients with advanced lung cancer. J Circadian Rhythms 9(4). https://​doi.​org/​10.​1186/​1740-3391-9-4
34.
go back to reference Hinz A, Glaesmer H, Brähler E, Löffler M, Engel C, Enzenbach C, Hegerl U, Sander C (2017) Sleep quality in the general population: psychometric properties of the Pittsburgh Sleep Quality Index, derived from a German community sample of 9284 people. Sleep Med 30:57–63CrossRef Hinz A, Glaesmer H, Brähler E, Löffler M, Engel C, Enzenbach C, Hegerl U, Sander C (2017) Sleep quality in the general population: psychometric properties of the Pittsburgh Sleep Quality Index, derived from a German community sample of 9284 people. Sleep Med 30:57–63CrossRef
35.
go back to reference Carpenter JS, Andrykowski MA (1998) Psychometric evaluation of the Pittsburgh sleep quality index. J Psychosom Res 45:5–13CrossRef Carpenter JS, Andrykowski MA (1998) Psychometric evaluation of the Pittsburgh sleep quality index. J Psychosom Res 45:5–13CrossRef
36.
go back to reference ActiGraph (2018) Where can I find documentation for the Sadeh and Cole Kripke algorithms? ActiGraph (2018) Where can I find documentation for the Sadeh and Cole Kripke algorithms?
37.
go back to reference ActiGraph (2018) What does the “detect sleep periods” button do and how does it work? ActiGraph (2018) What does the “detect sleep periods” button do and how does it work?
38.
go back to reference Giavarina D (2015) Understanding bland Altman analysis. Biochem Med 25(2):141–151CrossRef Giavarina D (2015) Understanding bland Altman analysis. Biochem Med 25(2):141–151CrossRef
43.
go back to reference Otte JL, Payne JK, Carpenter JS (2011) Nighttime variability in wrist actigraphy. J Nurs Meas 19(2):105–114CrossRef Otte JL, Payne JK, Carpenter JS (2011) Nighttime variability in wrist actigraphy. J Nurs Meas 19(2):105–114CrossRef
44.
go back to reference Miaskowski C, Lee K, Dunn L, Dodd M, Aouizerat BE, West C, Paul SM, Cooper B, Wara W, Swift P (2011) Sleep-wake circadian activity rhythm parameters and fatigue in oncology patients before the initiation of radiation therapy. Cancer Nurs 34(4):255–268CrossRef Miaskowski C, Lee K, Dunn L, Dodd M, Aouizerat BE, West C, Paul SM, Cooper B, Wara W, Swift P (2011) Sleep-wake circadian activity rhythm parameters and fatigue in oncology patients before the initiation of radiation therapy. Cancer Nurs 34(4):255–268CrossRef
48.
go back to reference Knab B, Engel RR (1988) Perception of waking and sleeping: possible implications for the evaluation of insomnia. Sleep 11(3):265–272CrossRef Knab B, Engel RR (1988) Perception of waking and sleeping: possible implications for the evaluation of insomnia. Sleep 11(3):265–272CrossRef
49.
go back to reference Saletu B, Anderer P, Saletu-Zyhlarz GM (2013) Recent advances in sleep research. Psychiatr Danub 25(4):426–434PubMed Saletu B, Anderer P, Saletu-Zyhlarz GM (2013) Recent advances in sleep research. Psychiatr Danub 25(4):426–434PubMed
Metadata
Title
Comparison of subjectively and objectively assessed sleep problems in breast cancer patients starting neoadjuvant chemotherapy
Authors
Charlotte Kreutz
Jana Müller
Martina E. Schmidt
Karen Steindorf
Publication date
01-02-2021
Publisher
Springer Berlin Heidelberg
Published in
Supportive Care in Cancer / Issue 2/2021
Print ISSN: 0941-4355
Electronic ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-020-05580-0

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