Top

Gepubliceerd in:

14-02-2019

Nonrestorative sleep scale: reliable and valid for the Chinese population

Auteurs: S. Li, D. Y. T. Fong, J. Y. H. Wong, K. Wilkinson, C. Shapiro, E. P. H. Choi, B. McPherson, C. L. K. Lam, M. S. M. Ip

Gepubliceerd in: Quality of Life Research | Uitgave 6/2019

Abstract

Purpose

To conduct a linguistic and psychometric evaluation of a Chinese version of the Nonrestorative Sleep Scale (NRSS).

Methods

The Chinese NRSS was created from a standard forward–backward translation and trialed on 10 Chinese adults. Telephone interviews were then conducted with 100 adults, who completed the Chinese NRSS, the Pittsburgh Sleep Quality Index (PSQI), the Athens Insomnia Scale (AIS), the Center for Epidemiological Studies Depression Scale (CES-D), and the Toronto Hospital Alertness Test (THAT). A household survey was conducted with 20 subjects, followed by a confirmatory factor analysis (CFA), and a bifactor model was developed to evaluate the reliability and validity of the NRSS.

Results

The bifactor model had the root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), and comparative fit index (CFI) of 0.06, 0.06, and 0.97, respectively. Convergent validity was shown from the moderate associations with PSQI (r = − 0.66, P < 0.01), AIS (r = − 0.65, P < 0.01), CES-D (r = − 0.54, P < 0.01), and THAT (r = 0.68, P < 0.01). The coefficient omega (0.92), omega hierarchical (0.81), factor determinacy (0.93), H value (0.91), explained common variance (0.63), and percentage of uncontaminated correlations (0.80) derived from the bifactor CFA supported the essential unidimensionality of NRSS.

Conclusions

The Chinese NRSS is a valid and reliable essential unidimensional tool for the assessment of nonrestorative sleep in the Chinese population.

vorige artikel Psychometric properties of the Mandarin Chinese version of the KIDSCREEN-52 health-related quality of life questionnaire in adolescents: a cross-sectional study

volgende artikel Correction to: The impact of caregiver’s role preference on decisional conflicts and psychiatric distresses in decision making to help caregiver’s disclosure of terminal disease status

Stone, K. C., Taylor, D. J., McCrae, C. S., Kalsekar, A., & Lichstein, K. L. (2008). Nonrestorative sleep. Sleep Medicine Reviews, 12(4), 275–288. https://doi.org/10.1016/j.smrv.2007.12.002.CrossRefPubMed

American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed). Washington, DC: American Psychiatric Association.

Sateia, M. J. (2014). International classification of sleep disorders-third edition: Highlights and modifications. Chest, 146(5), 1387–1394. https://doi.org/10.1378/chest.14-0970.CrossRefPubMed

Sarsour, K., Van Brunt, D. L., Johnston, J. A., Foley, K. A., Morin, C. M., & Walsh, J. K. (2010). Associations of nonrestorative sleep with insomnia, depression, and daytime function. Sleep Medicine, 11(10), 965–972. https://doi.org/10.1016/j.sleep.2010.08.007.CrossRefPubMed

American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed). Arlington: American Psychiatric Association.CrossRef

Roth, T., Jaeger, S., Jin, R., Kalsekar, A., Stang, P. E., & Kessler, R. C. (2006). Sleep problems, comorbid mental disorders, and role functioning in the national comorbidity survey replication. Biological Psychiatry, 60(12), 1364–1371. https://doi.org/10.1016/j.biopsych.2006.05.039.CrossRefPubMedPubMedCentral

Ohayon, M. M. (2005). Prevalence and correlates of nonrestorative sleep complaints. Archives of Internal Medicine, 165(1), 35–41. https://doi.org/10.1001/archinte.165.1.35.CrossRefPubMed

Chiu, H. Y., Wang, M. Y., Chang, C. K., Chen, C. M., Chou, K. R., Tsai, J. C., et al. (2014). Early morning awakening and nonrestorative sleep are associated with increased minor non-fatal accidents during work and leisure time. Accident Analysis & Prevention, 71, 10–14. https://doi.org/10.1016/j.aap.2014.05.002.CrossRef

Kawada, T. (2012). Feeling refreshed by sleep can predict psychological wellbeing assessed using the general health questionnaire in male workers: A 3-year follow-up study. Psychiatry Investigation, 9(4), 418–421. https://doi.org/10.4306/pi.2012.9.4.418.CrossRefPubMedPubMedCentral

10.

Liedberg, G. M., Bjork, M., & Borsbo, B. (2015). Self-reported nonrestorative sleep in fibromyalgia: Relationship to impairments of body functions, personal function factors, and quality of life. Journal of Pain Research, 8, 499–505. https://doi.org/10.2147/JPR.S86611.CrossRefPubMedPubMedCentral

11.

Park, J. H., Yoo, J. H., & Kim, S. H. (2013). Associations between non-restorative sleep, short sleep duration and suicidality: Findings from a representative sample of Korean adolescents. Psychiatry and Clinical Neurosciences, 67(1), 28–34. https://doi.org/10.1111/j.1440-1819.2012.02394.x.CrossRefPubMed

12.

Okamoto, M., Kobayashi, Y., Nakamura, F., & Musha, T. (2017). Association between nonrestorative sleep and risk of diabetes: A cross-sectional study. Behavioural Sleep Medicine, 15(6), 483–490. https://doi.org/10.1080/15402002.2016.1163701.CrossRef

13.

Zhang, J., Lam, S. P., Li, S. X., Li, A. M., & Wing, Y. K. (2012). The longitudinal course and impact of non-restorative sleep: A five-year community-based follow-up study. Sleep Medicine, 13(6), 570–576. https://doi.org/10.1016/j.sleep.2011.12.012.CrossRefPubMed

14.

Mariman, A. N., Vogelaers, D. P., Tobback, E., Delesie, L. M., Hanoulle, I. P., & Pevernagie, D. A. (2013). Sleep in the chronic fatigue syndrome. Sleep Medicine Reviews, 17(3), 193–199. https://doi.org/10.1016/j.smrv.2012.06.003.CrossRefPubMed

15.

Vernon, M. K., Dugar, A., Revicki, D., Treglia, M., & Buysse, D. (2010). Measurement of non-restorative sleep in insomnia: A review of the literature. Sleep Medicine Reviews, 14(3), 205–212. https://doi.org/10.1016/j.smrv.2009.10.002.CrossRefPubMed

16.

Wilkinson, K., & Shapiro, C. (2012). Nonrestorative sleep: symptom or unique diagnostic entity? Sleep Medicine, 13(6), 561–569. https://doi.org/10.1016/j.sleep.2012.02.002.CrossRefPubMed

17.

Wilkinson, K., & Shapiro, C. (2013). Development and validation of the Nonrestorative Sleep Scale (NRSS). Journal of Clinical Sleep Medicine, 9(9), 929–937. https://doi.org/10.5664/jcsm.2996.CrossRefPubMedPubMedCentral

18.

National Sleep Foundation. (2010). Sleep differences among ethnic groups revealed in new poll. ScienceDaily. Retrieved March 27, 2010 from https://www.sciencedaily.com/releases/2010/03/100308081740.htm.

19.

Chen, X., Wang, R., Zee, P., Lutsey, P. L., Javaheri, S., Alcantara, C., et al. (2015). Racial/ethnic differences in sleep disturbances: The multi-ethnic study of atherosclerosis (MESA). Sleep, 38(6), 877–888. https://doi.org/10.5665/sleep.4732.CrossRefPubMedPubMedCentral

20.

Anthoine, E., Moret, L., Regnault, A., Sebille, V., & Hardouin, J. B. (2014). Sample size used to validate a scale: A review of publications on newly-developed patient reported outcomes measures. Health and Quality Life Outcomes, 12, 176. https://doi.org/10.1186/s12955-014-0176-2.CrossRef

21.

Tsang, S., Royse, C. F., & Terkawi, A. S. (2017). Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine. Saudi Journal of Anaesthesia, 11(Suppl 1), S80–S89. https://doi.org/10.4103/sja.SJA_203_17.CrossRefPubMedPubMedCentral

22.

Chong, A. M. L., & Cheung, C.-K. (2012). Factor structure of a Cantonese-version pittsburgh sleep quality index. Sleep and Biological Rhythms, 10(2), 118–125. https://doi.org/10.1111/j.1479-8425.2011.00532.x.CrossRef

23.

Chung, K. F., Kan, K. K., & Yeung, W. F. (2011). Assessing insomnia in adolescents: Comparison of Insomnia Severity Index, Athens Insomnia Scale and Sleep Quality Index. Sleep Medicine, 12(5), 463–470. https://doi.org/10.1016/j.sleep.2010.09.019.CrossRefPubMed

24.

Soldatos, C. R., Dikeos, D. G., & Paparrigopoulos, T. J. (2000). Athens Insomnia Scale: Validation of an instrument based on ICD-10 criteria. Journal of Psychosomatic Research, 48(6), 555–560. https://doi.org/10.1016/S0022-3999(00)00095-7.CrossRefPubMed

25.

Chin, W. Y., Choi, E. P., Chan, K. T., & Wong, C. K. (2015). The psychometric properties of the center for epidemiologic studies depression scale in Chinese primary care patients: factor structure, construct validity, reliability, sensitivity and responsiveness. PLoS ONE, 10(8), e0135131. https://doi.org/10.1371/journal.pone.0135131.CrossRefPubMedPubMedCentral

26.

Vilagut, G., Forero, C. G., Barbaglia, G., & Alonso, J. (2016). Screening for depression in the general population with the center for epidemiologic studies depression (CES-D): A systematic review with meta-analysis. PLoS ONE, 11(5), e0155431. https://doi.org/10.1371/journal.pone.0155431.CrossRefPubMedPubMedCentral

27.

Shapiro, C. M., Auch, C., Reimer, M., Kayumov, L., Heslegrave, R., Huterer, N., et al. (2006). A new approach to the construct of alertness. Journal of Psychosomatic Research, 60(6), 595–603. https://doi.org/10.1016/j.jpsychores.2006.04.012.CrossRefPubMed

28.

Terwee, C. B., Bot, S. D., de Boer, M. R., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34–42. https://doi.org/10.1016/j.jclinepi.2006.03.012.CrossRefPubMed

29.

Anastasios, S., Theodoros, A. K., Vasiliki, Y., & Konstantina, P. (2018). Using bifactor EFA, bifactor CFA and exploratory structural equation modeling to validate factor structure of the meaning in life questionnaire, Greek version. Psychology, 9(3), 348–371. https://doi.org/10.4236/psych.2018.93022.CrossRef

30.

Fong, D. Y., Lam, C. L., Mak, K. K., Lo, W. S., Lai, Y. K., Ho, S. Y., et al. (2010). The Short Form-12 Health Survey was a valid instrument in Chinese adolescents. Journal of Clinical Epidemiology, 63(9), 1020–1029. https://doi.org/10.1016/j.jclinepi.2009.11.011.CrossRefPubMed

31.

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.CrossRef

32.

Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Applying bifactor statistical indices in the evaluation of psychological measures. Journal of Personality Assessment, 98(3), 223–237. https://doi.org/10.1080/00223891.2015.1089249.CrossRefPubMed

33.

Gu, H. L., Wen, Z. L., & Fan, X. T. (2017). Structural validity of the Machiavellian Personality Scale: A bifactor exploratory structural equation modeling approach. Personality and Individual Differences, 105, 116–123. https://doi.org/10.1016/j.paid.2016.09.042.CrossRef

34.

Rosseel, Y., Oberski, D., Vanbrabant, L., Vanbrabant, L., Savalei, V., Merkle, E., et al.(2012). Package ‘lavaan’. R package version 0.6-3. Retrieved from https://cran.r-project.org/web/packages/lavaan/lavaan.pdf.

35.

Dueber, D. M. (2017). Bifactor Indices Calculator: A Microsoft Excel-based tool to calculate various indices relevant to bifactor CFA models. https://doi.org/10.13023/edp.tool.01. Retrieved from http://sites.education.uky.edu/apslab/resources/.

36.

2016 Population By-census Office Census and Statistics Department. (2017). 2016 Population By-census-Main Results. Hong Kong, HKSAR: Website of the Census and Statistics Department, 2017. Retrieved from https://www.bycensus2016.gov.hk/data/16bc-main-results.pdf.

37.

Nunnally, J. N. (1978). Psychometric Theory (2nd edn.). New York: McGraw-Hill.

38.

Wilkinson, K. (2012). The Psychometric Properties of the Nonrestorative Sleep Scale and a Prospective Observational Study of the Physiological Correlates of Nonrestorative Sleep. University of Toronto. Retrieved from https://tspace.library.utoronto.ca/bitstream/ 1807/32639/6/Wilkinson_Caitlin_20126_MSc_thesis.pdf.

Titel: Nonrestorative sleep scale: reliable and valid for the Chinese population
Auteurs: S. Li
D. Y. T. Fong
J. Y. H. Wong
K. Wilkinson
C. Shapiro
E. P. H. Choi
B. McPherson
C. L. K. Lam
M. S. M. Ip
Publicatiedatum: 14-02-2019
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 6/2019
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-019-02134-8

Andere artikelen Uitgave 6/2019

Correction to: The impact of caregiver’s role preference on decisional conflicts and psychiatric distresses in decision making to help caregiver’s disclosure of terminal disease status

Correction

Using health-related quality of life to predict cardiovascular disease events

Psychometric properties and correlates of a brief scale measuring the psychological construct mattering to others in a sample of women recovering from breast cancer

Multidimensionality of the PROMIS self-efficacy measure for managing chronic conditions

Leveraging Latent Dirichlet Allocation in processing free-text personal goals among patients undergoing bladder cancer surgery

Comprehensive validation of the functional assessment of anorexia/cachexia therapy (FAACT) anorexia/cachexia subscale (A/CS) in lung cancer patients with involuntary weight loss

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

Nonrestorative sleep scale: reliable and valid for the Chinese population

Abstract

Purpose

Methods

Results

Conclusions

Andere artikelen Uitgave 6/2019

Correction to: The impact of caregiver’s role preference on decisional conflicts and psychiatric distresses in decision making to help caregiver’s disclosure of terminal disease status

Using health-related quality of life to predict cardiovascular disease events

Psychometric properties and correlates of a brief scale measuring the psychological construct mattering to others in a sample of women recovering from breast cancer

Multidimensionality of the PROMIS self-efficacy measure for managing chronic conditions

Leveraging Latent Dirichlet Allocation in processing free-text personal goals among patients undergoing bladder cancer surgery

Comprehensive validation of the functional assessment of anorexia/cachexia therapy (FAACT) anorexia/cachexia subscale (A/CS) in lung cancer patients with involuntary weight loss

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Purpose

Methods

Results

Conclusions

Log in om toegang te krijgen

Correction to: The impact of caregiver’s role preference on decisional conflicts and psychiatric distresses in decision making to help caregiver’s disclosure of terminal disease status

Using health-related quality of life to predict cardiovascular disease events

Psychometric properties and correlates of a brief scale measuring the psychological construct mattering to others in a sample of women recovering from breast cancer

Multidimensionality of the PROMIS self-efficacy measure for managing chronic conditions

Leveraging Latent Dirichlet Allocation in processing free-text personal goals among patients undergoing bladder cancer surgery

Comprehensive validation of the functional assessment of anorexia/cachexia therapy (FAACT) anorexia/cachexia subscale (A/CS) in lung cancer patients with involuntary weight loss