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The Center for Epidemiologic Studies Depression Scale: A Review with a Theoretical and Empirical Examination of Item Content and Factor Structure

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  • R Nicholas Carleton
  • Michel A Thibodeau
  • Michelle J N Teale
  • Patrick G Welch
  • Murray P Abrams
  • Thomas Robinson
  • Gordon J G Asmundson

Abstract

Background: The Center for Epidemiologic Studies Depression Scale (CES-D; Radloff, 1977) is a commonly used freely available self-report measure of depressive symptoms. Despite its popularity, several recent investigations have called into question the robustness and suitability of the commonly used 4-factor 20-item CES-D model. The goal of the current study was to address these concerns by confirming the factorial validity of the CES-D. Methods and Findings: Differential item functioning estimates were used to examine sex biases in item responses, and confirmatory factor analyses were used to assess prior CES-D factor structures and new models heeding current theoretical and empirical considerations. Data used for the analyses included undergraduate (n = 948; 74% women), community (n = 254; 71% women), rehabilitation (n = 522; 53% women), clinical (n = 84; 77% women), and National Health and Nutrition Examination Survey (NHANES; n = 2814; 56% women) samples. Differential item functioning identified an item as inflating CES-D scores in women. Comprehensive comparison of the several models supported a novel, psychometrically robust, and unbiased 3-factor 14-item solution, with factors (i.e., negative affect, anhedonia, and somatic symptoms) that are more in line with current diagnostic criteria for depression. Conclusions: Researchers and practitioners may benefit from using the novel factor structure of the CES-D and from being cautious in interpreting results from the originally proposed scale. Comprehensive results, implications, and future research directions are discussed.

Suggested Citation

  • R Nicholas Carleton & Michel A Thibodeau & Michelle J N Teale & Patrick G Welch & Murray P Abrams & Thomas Robinson & Gordon J G Asmundson, 2013. "The Center for Epidemiologic Studies Depression Scale: A Review with a Theoretical and Empirical Examination of Item Content and Factor Structure," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-11, March.
  • Handle: RePEc:plo:pone00:0058067
    DOI: 10.1371/journal.pone.0058067
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    1. Corinna Koebnick & Brit Saksvig & Xia Li & Margo Sidell & Tong Tong Wu & Deborah R. Young, 2020. "The Accuracy of Self-Reported Body Weight Is High but Dependent on Recent Weight Change and Negative Affect in Teenage Girls," IJERPH, MDPI, vol. 17(21), pages 1-12, November.
    2. Beshai, Shadi & Mishra, Sandeep & Meadows, Tyler J.S. & Parmar, Priya & Huang, Vivian, 2017. "Minding the gap: Subjective relative deprivation and depressive symptoms," Social Science & Medicine, Elsevier, vol. 173(C), pages 18-25.
    3. Stephanie Hoffmann & Susanne Schulze & Antje Löffler & Juliane Becker & Frank Hufert & Heinz-Detlef Gremmels & Christine Holmberg & Michael A Rapp & Sonja Entringer & Jacob Spallek, 2024. "Did the prevalence of depressive symptoms change during the COVID-19 pandemic? A multilevel analysis on longitudinal data from healthcare workers," International Journal of Social Psychiatry, , vol. 70(1), pages 87-98, February.
    4. An-Chen Shih & Lee-Hwa Chen & Chin-Chueh Tsai & Jau-Yuan Chen, 2020. "Correlation between Sleep Quality and Frailty Status among Middle-Aged and Older Taiwanese People: A Community-Based, Cross-Sectional Study," IJERPH, MDPI, vol. 17(24), pages 1-11, December.
    5. Natalia Albaladejo-Blázquez & Rosario Ferrer-Cascales & Nicolás Ruiz-Robledillo & Miriam Sánchez-Sansegundo & Violeta Clement-Carbonell & Ana Zaragoza-Martí, 2018. "Poor Dietary Habits in Bullied Adolescents: The Moderating Effects of Diet on Depression," IJERPH, MDPI, vol. 15(8), pages 1-10, July.
    6. Ye Minn Htun & Kyaw Thiha & Aung Aung & Nay Myo Aung & Thet Wai Oo & Pyae Sone Win & Nay Hein Sint & Kaung Myat Naing & Aung Khant Min & Kyaw Myo Tun & Kyaw Hlaing, 2021. "Assessment of depressive symptoms in patients with COVID-19 during the second wave of epidemic in Myanmar: A cross-sectional single-center study," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-15, June.
    7. Platt, Jonathan M. & Bates, Lisa M. & Jager, Justin & McLaughlin, Katie A. & Keyes, Katherine M., 2020. "Changes in the depression gender gap from 1992 to 2014: Cohort effects and mediation by gendered social position," Social Science & Medicine, Elsevier, vol. 258(C).
    8. Orstad, Stephanie L. & McDonough, Meghan H. & Klenosky, David B. & Mattson, Marifran & Troped, Philip J., 2017. "The observed and perceived neighborhood environment and physical activity among urban-dwelling adults: The moderating role of depressive symptoms," Social Science & Medicine, Elsevier, vol. 190(C), pages 57-66.
    9. Meshari A. Alradhi & Jessy Moore & Karen A. Patte & Deborah D. O’Leary & Terrance J. Wade, 2022. "Adverse Childhood Experiences and COVID-19 Stress on Changes in Mental Health among Young Adults," IJERPH, MDPI, vol. 19(19), pages 1-17, October.
    10. Kalayou Kidanu Berhe & Haftu Berhe Gebru & Hailemariam Berhe Kahsay, 2020. "Effect of motivational interviewing intervention on HgbA1C and depression in people with type 2 diabetes mellitus (systematic review and meta-analysis)," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    11. Hanna Margaretha Heller & Stasja Draisma & Adriaan Honig, 2022. "Construct Validity and Responsiveness of Instruments Measuring Depression and Anxiety in Pregnancy: A Comparison of EPDS, HADS-A and CES-D," IJERPH, MDPI, vol. 19(13), pages 1-12, June.
    12. Jiazhou Wang & Yueyue Zhou & Yiming Liang & Zhengkui Liu, 2019. "A Large Sample Survey of Tibetan People on the Qinghai–Tibet Plateau: Current Situation of Depression and Risk Factors," IJERPH, MDPI, vol. 17(1), pages 1-15, December.
    13. Wei Jin & Yang Ni & Leah H. Rubin & Amanda B. Spence & Yanxun Xu, 2022. "A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV," Biometrics, The International Biometric Society, vol. 78(3), pages 988-1000, September.

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