Top

Gepubliceerd in:

23-11-2024

Depressive and anxiety symptoms in current, previous, and no history of ME/CFS: NHIS 2022 analysis

Auteurs: Zoe Sirotiak, Jenna L. Adamowicz, Emily B. K. Thomas

Gepubliceerd in: Quality of Life Research | Uitgave 3/2025

Abstract

Purpose

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is associated with anxiety and depressive symptoms. Psychological symptoms are predisposing factors for, as well as symptoms of, ME/CFS. Recovery from ME/CFS is poorly understood and heterogenous, and it is unclear how psychological symptoms may change with recovery. The aim of this study was to examine the associations of depressive and anxious symptoms among individuals with current, previous, and no history of ME/CFS.

Methods

National Health Interview Survey 2022 data were analyzed to assess ME/CFS status, as well as anxiety and depression burden. Adults (unweighted N = 27,651) in the United States reported sociodemographic and health behavior characteristics, with 453 adults reporting current ME/CFS, while 119 reported previous ME/CFS. Sample weights and variance estimation variables were implemented. Multivariable linear regression models were used to analyze the associations between ME/CFS status and anxiety and depression severity after adjusting for sociodemographic and health behavior variables.

Results

Participants were on average 48.1 years of age, and most identified as female (51.3%), white (76.6%), and not Hispanic or Latine (82.8%). Current and previous ME/CFS were associated with anxiety and depressive symptoms compared to individuals with no history of ME/CFS. Clinically significant levels of anxiety and depressive symptoms were substantial for individuals with current (37.6%; 49.0%) and previous (26.5%; 33.4%) ME/CFS compared to individuals with no history of ME/CFS (6.1%; 6.7%).

Conclusion

ME/CFS, regardless of current presence, was related to significantly greater anxiety and depressive symptom burden.

vorige artikel A multi-phase approach for developing a conceptual model and preliminary content for patient-reported outcome measurement in TKA patients: from a Chinese perspective

volgende artikel Association between cardiovascular health and perceived quality of life in ethnically diverse adults: insights from the Community of Mine study using the American Heart Association’s Life’s Simple 7

Centers for Disease Control and Prevention. (2023). What is ME/CFS? | Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) | CDC. Retrieved April 30, 2024, from https://www.cdc.gov/me-cfs/about/index.html

Deumer, U. S., Varesi, A., Floris, V., Savioli, G., Mantovani, E., López-Carrasco, P., Rosati, G. M., Prasad, S., & Ricevuti, G. (2021). Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): An overview. Journal of Clinical Medicine, 10(20), 4786. https://doi.org/10.3390/JCM10204786

Lim, E. J., & Son, C. G. (2020). Review of case definitions for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Journal of Translational Medicine, 18(1), 1–10. https://doi.org/10.1186/S12967-020-02455-0/TABLES/2CrossRefPubMed

Jonsjö, M. A., Wicksell, R. K., Holmström, L., Andreasson, A., Bileviciute-Ljungar, I., & Olsson, G. L. (2017). Identifying symptom subgroups in patients with ME/CFS – relationships to functioning and quality of life. Fatigue: Biomedicine, Health & Behavior, 5(1), 33–42. https://doi.org/10.1080/21641846.2017.1287546CrossRef

Castro-Marrero, J., Faro, M., Zaragozá, M. C., Aliste, L., De Sevilla, T. F., & Alegre, J. (2019). Unemployment and work disability in individuals with chronic fatigue syndrome/myalgic encephalomyelitis: A community-based cross-sectional study from Spain. Bmc Public Health, 19(1), 1–13. https://doi.org/10.1186/S12889-019-7225-Z/TABLES/4CrossRef

Vyas, J., Muirhead, N., Singh, R., Ephgrave, R., & Finlay, A. Y. (2022). Impact of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) on the quality of life of people with ME/CFS and their partners and family members: An online cross-sectional survey. BMJ open, 12(5). https://doi.org/10.1136/BMJOPEN-2021-058128

Wright, A., Fisher, P. L., Baker, N., O’Rourke, L., & Cherry, M. G. (2021). Perfectionism, depression and anxiety in chronic fatigue syndrome: A systematic review. Journal of Psychosomatic Research, 140, 110322. https://doi.org/10.1016/J.JPSYCHORES.2020.110322CrossRefPubMed

Chen, C., Yip, H. T., Leong, K. H., Yao, W. C., Hung, C. L., Su, C. H., Kuo, C. F., & Tsai, S. Y. (2023). Presence of depression and anxiety with distinct patterns of pharmacological treatments before the diagnosis of chronic fatigue syndrome: A population-based study in Taiwan. Journal of Translational Medicine, 21(1), 1–23. https://doi.org/10.1186/S12967-023-03886-1/FIGURES/5

Harvey, S. B., Wadsworth, M., Wessely, S., & Hotopf, M. (2008). The relationship between prior psychiatric disorder and chronic fatigue: Evidence from a national birth cohort study. Psychological Medicine, 38(7), 933. https://doi.org/10.1017/S0033291707001900CrossRefPubMed

10.

Noor, N., Urits, I., Degueure, A., Rando, L., Kata, V., Cornett, E. M., Kaye, A. D., Imani, F., Narimani-Zamanabadi, M., Varrassi, G., & Viswanath, O. (2021). A comprehensive update of the current understanding of chronic fatigue syndrome. Anesthesiology and Pain Medicine, 11(3). https://doi.org/10.5812/AAPM.113629

11.

Liao, W., Luo, Z., Dong, X., Wu, X., Mei, Y., Cui, N., Kang, N., Lan, Y., Liu, X., Huo, W., Wang, F., & Wang, C. (2021). Associations between depressive symptoms, anxiety symptoms, their comorbidity and health-related quality of life: A large-scale cross-sectional study. BMC Public Health, 21(1), 1–12. https://doi.org/10.1186/S12889-021-11969-1/FIGURES/3

12.

Johansson, R., Carlbring, P., Heedman, Å., Paxling, B., & Andersson, G. (2013). Depression, anxiety and their comorbidity in the Swedish general population: Point prevalence and the effect on health-related quality of life. PeerJ, 2013(1), e98. https://doi.org/10.7717/PEERJ.98/TABLE-4CrossRef

13.

Cairns, R., & Hotopf, M. (2005). A systematic review describing the prognosis of chronic fatigue syndrome. Occupational Medicine, 55(1), 20–31. https://doi.org/10.1093/OCCMED/KQI013CrossRefPubMed

14.

Ghali, A., Lacout, C., Fortrat, J. O., Depres, K., Ghali, M., & Lavigne, C. (2022). Factors influencing the prognosis of patients with myalgic encephalomyelitis/chronic fatigue syndrome. Diagnostics, 12(10), 2540. https://doi.org/10.3390/DIAGNOSTICS12102540

15.

Adamowicz, J. L., Caikauskaite, I., & Friedberg, F. (2014). Defining recovery in chronic fatigue syndrome: A critical review. Quality of Life Research, 23(9), 2407–2416. https://doi.org/10.1007/S11136-014-0705-9/METRICSCrossRefPubMed

16.

Devendorf, A. R., Jackson, C. T., Sunnquist, M., & Jason, L. A. (2019). Approaching recovery from myalgic encephalomyelitis and chronic fatigue syndrome: Challenges to consider in research and practice. Journal of Health Psychology, 24(10), 1412. https://doi.org/10.1177/1359105317742195CrossRefPubMed

17.

Moore, Y., Serafimova, T., Anderson, N., King, H., Richards, A., Brigden, A., Sinai, P., Higgins, J., Ascough, C., Clery, P., & Crawley, E. M. (2021). Recovery from chronic fatigue syndrome: A systematic review-heterogeneity of definition limits study comparison. Archives of Disease in Childhood, 106(11), 1087–1094. https://doi.org/10.1136/ARCHDISCHILD-2020-320196

18.

Devendorf, A. R., Jackson, C. T., Sunnquist, M., & A. Jason, L. (2019). Defining and measuring recovery from myalgic encephalomyelitis and chronic fatigue syndrome: The physician perspective. Disability and Rehabilitation, 41(2), 158–165. https://doi.org/10.1080/09638288.2017.1383518CrossRefPubMedPubMedCentral

19.

Komaroff, A. L., & Lipkin, W. I. (2023). ME/CFS and Long COVID share similar symptoms and biological abnormalities: Road map to the literature. Frontiers in Medicine, 10, 1187163. https://doi.org/10.3389/FMED.2023.1187163/BIBTEXCrossRefPubMed

20.

Wong, T. L., & Weitzer, D. J. (2021). Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)—A systemic review and comparison of clinical presentation and symptomatology. Medicina, 57(5), 418. https://doi.org/10.3390/MEDICINA57050418CrossRef

21.

Tate, W. P., Walker, M. O. M., Peppercorn, K., Blair, A. L. H., & Edgar, C. D. (2023). Towards a better understanding of the complexities of myalgic encephalomyelitis/chronic fatigue syndrome and long COVID. International Journal of Molecular Sciences, 24(6), 5124. https://doi.org/10.3390/IJMS24065124CrossRefPubMedPubMedCentral

22.

Jain, V., Arunkumar, A., Kingdon, C., Lacerda, E., & Nacul, L. (2017). Prevalence of and risk factors for severe cognitive and sleep symptoms in ME/CFS and MS. BMC Neurology, 17(1). https://doi.org/10.1186/S12883-017-0896-0

23.

Newton, J. L., Pairman, J., Hallsworth, K., Moore, S., Plötz, T., & Trenell, M. I. (2011). Physical activity intensity but not sedentary activity is reduced in chronic fatigue syndrome and is associated with autonomic regulation. QJM: An International Journal of Medicine, 104(8), 681–687. https://doi.org/10.1093/QJMED/HCR029CrossRefPubMed

24.

Centers for Disease Control and Prevention. (2023). National health interview survey 2022 survey description. Hyattsville, Maryland.

25.

Centers for Disease Control and Prevention. (2023). About NHIS.

26.

U.S. Department of Agriculture and U.S. Department of Health and Human Services (2020). Dietary Guidelines for Americans, 2020–2025.

27.

US Department of Health and Human Services (2018). Physical Activity Guidelines for Americans 2nd edition.

28.

Sheehan, C. M., Frochen, S. E., Walsemann, K. M., & Ailshire, J. A. (2019). Are U.S. adults reporting less sleep? Findings from sleep duration trends in the National Health interview Survey, 2004–2017. Sleep, 42(2), 1–8. https://doi.org/10.1093/SLEEP/ZSY221CrossRef

29.

Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092–1097. https://doi.org/10.1001/ARCHINTE.166.10.1092CrossRefPubMed

30.

Stocker, R., Tran, T., Hammarberg, K., Nguyen, H., Rowe, H., & Fisher, J. (2021). Patient Health Questionnaire 9 (PHQ-9) and general anxiety disorder 7 (GAD-7) data contributed by 13,829 respondents to a national survey about COVID-19 restrictions in Australia. Psychiatry Research, 298, 113792. https://doi.org/10.1016/J.PSYCHRES.2021.113792CrossRefPubMedPubMedCentral

31.

Kroenke, K., Strine, T. W., Spitzer, R. L., Williams, J. B. W., Berry, J. T., & Mokdad, A. H. (2009). The PHQ-8 as a measure of current depression in the general population. Journal of Affective Disorders, 114(1–3), 163–173. https://doi.org/10.1016/J.JAD.2008.06.026CrossRefPubMed

32.

Villarreal-Zegarra, D., Barrera-Begazo, J., Otazú-Alfaro, S., Mayo-Puchoc, N., Bazo-Alvarez, J. C., & Huarcaya-Victoria, J. (2023). Sensitivity and specificity of the Patient Health Questionnaire (PHQ-9, PHQ-8, PHQ-2) and general anxiety disorder scale (GAD-7, GAD-2) for depression and anxiety diagnosis: A cross-sectional study in a Peruvian hospital population. British Medical Journal Open, 13(9), e076193. https://doi.org/10.1136/BMJOPEN-2023-076193CrossRef

33.

IBM (2022). SPSS, Version 29.

34.

R Core Team (2024). R 4.4.0.

35.

Rao, J. N. K., & Scott, A. J. (1987). On simple adjustments to Chi-Square tests with Sample Survey Data. The Annals of Statistics, 15(1), 385–397.CrossRef

36.

Lim, E. J., & Son, C. G. (2020). Review of case definitions for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Journal of Translational Medicine, 18(1), 289. https://doi.org/10.1186/S12967-020-02455-0CrossRefPubMedPubMedCentral

37.

Gluckman, S. (2023). Patient education: Myalgic encephalomyelitis/chronic fatigue syndrome (Beyond the Basics). Up to Date.

38.

Dinos, S., Khoshaba, B., Ashby, D., White, P. D., Nazroo, J., Wessely, S., & Bhui, K. S. (2009). A systematic review of chronic fatigue, its syndromes and ethnicity: Prevalence, severity, co-morbidity and coping. International Journal of Epidemiology, 38(6), 1554–1570. https://doi.org/10.1093/IJE/DYP147CrossRefPubMed

39.

Van Campen, C. M. C., Rowe, P. C., Verheugt, F. W. A., & Visser, F. C. (2020). Physical activity measures in patients with myalgic encephalomyelitis/chronic fatigue syndrome: Correlations between peak oxygen consumption, the physical functioning scale of the SF-36 questionnaire, and the number of steps from an activity meter. Journal of Translational Medicine, 18(1), 1–11. https://doi.org/10.1186/S12967-020-02397-7/FIGURES/6CrossRef

40.

Jackson, M. L., & Bruck, D. (2012). Sleep abnormalities in chronic fatigue Syndrome/Myalgic encephalomyelitis: A review. Journal of Clinical Sleep Medicine, 8(6), 719–728. https://doi.org/10.5664/JCSM.2276CrossRefPubMedPubMedCentral

41.

Woolley, J., Allen, R., & Wessely, S. (2004). Alcohol use in chronic fatigue syndrome. Journal of Psychosomatic Research, 56(2), 203–206. https://doi.org/10.1016/S0022-3999(03)00077-1CrossRefPubMed

42.

Lumley, T. (2010). Complex surveys: A guide to analysis using R, 276.

43.

McHugh, M. L. (2013). The Chi-square test of independence. Biochemia Medica, 23(2), 143. https://doi.org/10.11613/BM.2013.018CrossRefPubMedPubMedCentral

44.

Daniels, J., Brigden, A., & Kacorova, A. (2017). Anxiety and depression in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME): Examining the incidence of health anxiety in CFS/ME. Psychology and Psychotherapy: Theory Research and Practice, 90(3), 502–509. https://doi.org/10.1111/PAPT.12118CrossRef

45.

Hempel, S., Chambers, D., Bagnall, A. M., & Forbes, C. (2008). Risk factors for chronic fatigue syndrome/myalgic encephalomyelitis: A systematic scoping review of multiple predictor studies. Psychological Medicine, 38(7), 915–926. https://doi.org/10.1017/S0033291707001602CrossRefPubMed

46.

Pheley, A. M., Melby, D., Schenck, C., Mandel, J., & Peterson, P. K. (1999). Can we predict recovery in chronic fatigue syndrome? Minnesota Medicine, 82(11), 52–56.PubMed

47.

Joyce, J., Hotopf, M., & Wessely, S. (1997). The prognosis of chronic fatigue and chronic fatigue syndrome: A systematic review. QJM: An International Journal of Medicine, 90(3), 223–233. https://doi.org/10.1093/QJMED/90.3.223CrossRefPubMed

48.

Nyland, M., Naess, H., Birkeland, J. S., & Nyland, H. (2014). Longitudinal follow-up of employment status in patients with chronic fatigue syndrome after Mononucleosis. British Medical Journal Open, 4(11), e005798. https://doi.org/10.1136/BMJOPEN-2014-005798CrossRef

49.

Ghali, A., Lacout, C., Fortrat, J. O., Depres, K., Ghali, M., & Lavigne, C. (2022). Factors influencing the prognosis of patients with myalgic Encephalomyelitis/Chronic fatigue syndrome. Diagnostics 2022, 12(10), 2540. https://doi.org/10.3390/DIAGNOSTICS12102540. 12.CrossRef

50.

Jason, L., Muldowney, K., & Torres-Harding, S. (2008). The Energy Envelope Theory and myalgic encephalomyelitis/chronic fatigue syndrome. AAOHN Journal: Official Journal of the American Association of Occupational Health Nurses, 56(5), 189–195. https://doi.org/10.3928/08910162-20080501-06CrossRefPubMed

51.

McCue, P. (2004). CFS/ME and mental health diagnoses: A qualitative approach to assessing the experiences of women who have now recovered. Clinical Effectiveness in Nursing, 8(3–4), 194–201. https://doi.org/10.1016/J.CEIN.2005.04.001CrossRef

52.

Bakken, A. K., Mengshoel, A. M., Synnes, O., & Strand, E. B. (2023). Acquiring a new understanding of illness and agency: A narrative study of recovering from chronic fatigue syndrome. International Journal of Qualitative Studies on Health and Well-being, 18(1). https://doi.org/10.1080/17482631.2023.2223420

53.

Froehlich, L., Hattesohl, D. B. R., Cotler, J., Jason, L. A., Scheibenbogen, C., & Behrends, U. (2022). Causal attributions and perceived stigma for myalgic encephalomyelitis/chronic fatigue syndrome. Journal of Health Psychology, 27(10), 2291–2304. https://doi.org/10.1177/13591053211027631CrossRefPubMed

54.

Araja, D., Berkis, U., Lunga, A., & Murovska, M. (2021). Shadow burden of undiagnosed myalgic encephalomyelitis/chronic fatigue syndrome (Me/cfs) on society: Retrospective and prospective—in light of covid-19. Journal of Clinical Medicine, 10(14). https://doi.org/10.3390/JCM10143017/S1

Titel: Depressive and anxiety symptoms in current, previous, and no history of ME/CFS: NHIS 2022 analysis
Auteurs: Zoe Sirotiak
Jenna L. Adamowicz
Emily B. K. Thomas
Publicatiedatum: 23-11-2024
Uitgeverij: Springer New York
Gepubliceerd in: Quality of Life Research / Uitgave 3/2025
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-024-03854-2

Andere artikelen Uitgave 3/2025

Cognitive interviewing for assessing the content validity of older-person specific outcome measures for quality assessment and economic evaluation: a scoping review

Review

Trajectories of dyadic quality of life in young to middle-aged stroke couples: a longitudinal study

Quality of life and testosterone recovery after androgen deprivation therapy in high-risk prostate cancer patients: long-term data from a phase III trial

A multi-phase approach for developing a conceptual model and preliminary content for patient-reported outcome measurement in TKA patients: from a Chinese perspective

Open Access

The influence of mode of remote delivery on health-related quality of life outcome measures in British Sign Language: a mixed methods pilot randomised crossover trial

Open Access

Health-related quality of life among extrapulmonary tuberculosis patients and inequalities by disease manifestations: a longitudinal study analysing the impact of TB treatment

Open Access

Bohn Stafleu van Loghum

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

Registreer

Login

Depressive and anxiety symptoms in current, previous, and no history of ME/CFS: NHIS 2022 analysis

Abstract

Purpose

Methods

Results

Conclusion

Andere artikelen Uitgave 3/2025

Cognitive interviewing for assessing the content validity of older-person specific outcome measures for quality assessment and economic evaluation: a scoping review

Trajectories of dyadic quality of life in young to middle-aged stroke couples: a longitudinal study

Quality of life and testosterone recovery after androgen deprivation therapy in high-risk prostate cancer patients: long-term data from a phase III trial

A multi-phase approach for developing a conceptual model and preliminary content for patient-reported outcome measurement in TKA patients: from a Chinese perspective

The influence of mode of remote delivery on health-related quality of life outcome measures in British Sign Language: a mixed methods pilot randomised crossover trial

Health-related quality of life among extrapulmonary tuberculosis patients and inequalities by disease manifestations: a longitudinal study analysing the impact of TB treatment

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

Conclusion

Log in om toegang te krijgen

Cognitive interviewing for assessing the content validity of older-person specific outcome measures for quality assessment and economic evaluation: a scoping review

Trajectories of dyadic quality of life in young to middle-aged stroke couples: a longitudinal study

Quality of life and testosterone recovery after androgen deprivation therapy in high-risk prostate cancer patients: long-term data from a phase III trial

A multi-phase approach for developing a conceptual model and preliminary content for patient-reported outcome measurement in TKA patients: from a Chinese perspective

The influence of mode of remote delivery on health-related quality of life outcome measures in British Sign Language: a mixed methods pilot randomised crossover trial

Health-related quality of life among extrapulmonary tuberculosis patients and inequalities by disease manifestations: a longitudinal study analysing the impact of TB treatment