Validation of the Zung self-rating depression scale (SDS) in older adults

Jari Jokelainen, Markku Timonen, Sirkka Keinänen-Kiukaanniemi, Pirjo Härkönen, Heidi Jurvelin, Kadri Suija, Jari Jokelainen, Markku Timonen, Sirkka Keinänen-Kiukaanniemi, Pirjo Härkönen, Heidi Jurvelin, Kadri Suija

Abstract

Objective: The main objective of this study was to investigate the psychometric properties of the Zung Self-Rating Depression Scale (SDS) and evaluate screening parameters capability of the SDS with the Beck Depression Inventory (BDI-21) among the elderly population. Design: A population-based study Setting: Community Subjects: 520 adults, aged 72-73 years, living in the city of Oulu, Finland. Main outcome measures: The screening parameters of the SDS questions and BDI-21 for detecting severity of depression. The Mini Neuropsychiatric Interview for diagnosing major depression. Results: The optimal cut-off point for the SDS was 39. The sensitivity and specificity parameters for this cut-off point were 79.2% (95% CI 57.8-92.9) and 72.2% (95% CI 67.9-76.1), respectively. Positive and negative predictive values were 12.5% (95% CI 7.7-18.8) and 98.6% (95% CI 96.7-99.5), respectively. Moreover, there was no statistically significant difference in diagnostic accuracy indices of the cut-off points 39 and 40. In a receiver operating characteristic analysis, the area under the curve was 0.85 (95%CI 0.77-0.92) for the SDS total score and 0.89 (95% CI 0.83-0.96) for the BDI-21 (p = 0.137). Conclusion: Using the traditional cut-off point, the SDS was convenient for identifying clinically meaningful depressive symptoms in an elderly Finnish population when compared with the BDI-21 which is one of the most commonly used depression screening scales. The sensitivity and specificity of these two screening tools are comparable. Based on our study, the SDS is convenient for identifying clinically meaningful depressive symptoms among older adults at the community level. Key points The widely used Zung Self-Rating Depression Scale (SDS) has not previously been validated among elderly people at the community level. The sensitivity and specificity of SDS (cut-off point 39) were 79.2% and 72.2%. The positive and negative predictive values for SDS were 12.5% and 98.6%. SDS is convenient for identifying major depression in an elderly population and regarding sensitivity and specificity comparable to BDI-21.

Keywords: BDI-21; Diagnostic methods; elderly; major depression; statistics.

Figures

Figure 1.
Figure 1.
Receiver operating characteristics (ROC) curves for the BDI-21 and SDS.

References

    1. Mojtabai R. Diagnosing depression in older adults in primary care. N Engl J Med. 2014;370:1180–1182.
    1. American Psychiatric Association Diagnostic and statistical manual of mental disorders. Fourth edition, Text Revision ed. Washington (DC): American Psychiatric Association; 2000.
    1. World Health Organization The ICD-10 classification of mental and behavioural disorders: diagnostic criteria for research. Geneva (Switzerland): WHO; 1993.
    1. Volkers AC, Nuyen J, Verhaak PF, et al. . The problem of diagnosing major depression in elderly primary care patients. J Affect Disord. 2004;82:259–263.
    1. Schwenk TL. Diagnosis of late life depression: the view from primary care. Biol Psychiatry. 2002;52:157–163.
    1. van Marwijk H, Hoeksema HL, Hermans J, et al. . Prevalence of depressive symptoms and depressive disorder in primary care patients over 65 years of age. Fam Pract. 1994;11:80–84.
    1. Li D, Zhang DJ, Shao JJ, et al. . A meta-analysis of the prevalence of depressive symptoms in Chinese older adults. Arch Gerontol Geriatr. 2014;58:1–9.
    1. Helvik AS, Engedal K, Krokstad S, et al. . A comparison of life satisfaction in elderly medical inpatients and the elderly in a population-based study: Nord-Trondelag Health Study 3. Scand J Public Health. 2011;39:337–344.
    1. Sheehan DV, Lecrubier Y, Sheehan KH, et al. . The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;20:22–33; quiz 34-57.
    1. Alexopoulos GS, Borson S, Cuthbert BN, et al. . Assessment of late life depression. Biol Psychiatry. 2002;52:164–174.
    1. Taylor WD. Clinical practice. Depression in the elderly. N Engl J Med. 2014;371:1228–1236.
    1. Kurt Kroenke MD, Robert L, Spitzer MD, Janet BW. Williams The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–613.
    1. Beard C, Hsu KJ, Rifkin LS, et al. . Validation of the PHQ-9 in a psychiatric sample. J Affect Disord. 2016;193:267–273.
    1. Yesavage JA, Brink TL, Rose TL, et al. . Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982;17:37–49.
    1. Beck AT, Ward CH, Mendelson M, et al. . An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561–571.
    1. Zung W. Self-Rating Depression Scale. Arch Gen Psychiatry. 1965;12:63–70.
    1. Schrag A, Barone P, Brown RG, et al. . Depression rating scales in Parkinson's disease: critique and recommendations. Mov Disord. 2007;22:1077–1092.
    1. Baer L, Blais MA editors. Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health, Current Clinical Psychiatry. Totowa, NJ: LLC: C Humana Press, a part of Springer Science + Business Media; 2009.
    1. Biggs JT, Wylie LT, Ziegler VE. Validity of the Zung Self-rating Depression Scale. Br J Psychiatry. 1978;132:381–385.
    1. Passik SD, Kirsh KL, Donaghy KB, et al. . An attempt to employ the Zung Self-Rating Depression Scale as a “lab test” to trigger follow-up in ambulatory oncology clinics: criterion validity and detection. J Pain Symptom Manage. 2001;21:273–281.
    1. Mormont E, Jamart J, Jacques D. Symptoms of depression and anxiety after the disclosure of the diagnosis of Alzheimer disease. J Geriatr Psychiatry Neurol. 2014;27:231–236.
    1. Leung KK, Lue BH, Lee MB, et al. . Screening of depression in patients with chronic medical diseases in a primary care setting. Fam Pract. 1998;15:67–75.
    1. Agrell B, Dehlin O. Comparison of six depression rating scales in geriatric stroke patients. Stroke. 1989;20:1190–1194.
    1. Campo-Arias A, Díaz-Martinez LA, Rueda-Jaimes GE, et al. . Validation of Zung’s self-rating depression scale among the Colombian general population. Soc Behav Pers. 2006;34:87–94.
    1. Zung WWK, Zung EM. Use of the Zung Self-Rating Depression Scale in the elderly. Clin Gerontol. 1986;5:137–147.
    1. Rajala U, Uusimaki A, Keinanen-Kiukaanniemi S, et al. . Prevalence of depression in a 55-year-old Finnish population. Soc Psychiatry Psychiatr Epidemiol. 1994;29:126–130.
    1. Saukkonen T, Jokelainen J, Timonen M, et al. . Prevalence of metabolic syndrome components among the elderly using three different definitions: a cohort study in Finland. Scand J Prim Health Care. 2012;30:29–34.
    1. Suija K, Rajala U, Jokelainen J, et al. . Validation of the Whooley questions and the Beck Depression Inventory in older adults. Scand J Prim Health Care. 2012;30:259–264.
    1. Rohde G, Berg KH, Haugeberg G. Perceived effects of health status on sexual activity in women and men older than 50 years. Health Qual Life Out. 2014;12:43.
    1. Thombs BD, Ziegelstein RC, Roseman M, et al. . There are no randomized controlled trials that support the United States Preventive Services Task Force Guideline on screening for depression in primary care: a systematic review. BMC Med. 2014;12:13.

Source: PubMed

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