Skip to main content
Log in

Nutritional Status and Adverse Outcomes in Older Depressed Inpatients: A Prospective Study

  • Original Research
  • Published:
The journal of nutrition, health & aging

Abstract

Objectives

Significant weight loss and/or loss of appetite is a criterion of a depressive episode. While malnutrition is associated with many adverse health outcomes, the impact of malnutrition in late-life depression has hardly been examined. The present study aims to (1) evaluate the prevalence of malnutrition in depressed older inpatients, and (2) whether and which indices of malnutrition predict adverse health outcomes in late-life depression.

Design

A prospective study at 6 months follow-up.

Setting

A University-based psychiatric hospital.

Participants

105 older adults (psychiatric inpatients suffering from unipolar MDD).

Measurements

Participants were evaluated according the Mini Nutritional Assessment (MNA) and anthropometric measures to assess their nutritional status. Multiple regression analyses were used to evaluate the association between the MNA score as well as anthropometric measures with either falls or rehospitalization for any reason.

Results

Based on the MNA score, 78 (74.3%) patients were at risk of malnutrition and 13 (12.4%) actually presented malnutrition. Malnutrition was associated with a higher age, frailty, lower body mass index, and smaller calf circumference. During follow-up, 21 (20%) patients fell, 27 (25.7%) were rehospitalized, and 3 died (2.9%). The MNA score was associated with adverse health outcomes, but a low calf circumference predicted falling (OR 4.93 [95% CI: 1.42–17.2], p=.012) and a higher calf circumference rehospitalization (OR 1.17 [95% CI: 1.01–1.35], p=.032).

Conclusion

Malnutrition is prevalent in older depressed inpatients. In contrast to subjective proxies for malnutrition, which are common in depression, only objective measures of malnutrition predict adverse health outcomes such as falls and rehospitalization.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Hasin DS, Sarvet AL, Meyers JL, et al. Epidemiology of Adult DSM-5 Major Depressive Disorder and Its Specifiers in the United States. JAMA Psychiatry. 2018;75(4):336–346. doi:https://doi.org/10.1001/jamapsychiatry.2017.4602

    Article  PubMed  PubMed Central  Google Scholar 

  2. Rosen T, Zivin K, Eisenberg D, Guille C, Sen S. The Cost of Depression-Related Presenteeism in Resident Physicians. Acad Psychiatry. 2018;42(1):84–87. doi:https://doi.org/10.1007/s40596-017-0867-1

    Article  PubMed  Google Scholar 

  3. Stensland M, Watson PR, Grazier KL. An examination of costs, charges, and payments for inpatient psychiatric treatment in community hospitals. Psychiatr Serv. 2012;63(7):666–671. doi:https://doi.org/10.1176/appi.ps.201100402

    Article  PubMed  Google Scholar 

  4. Citrome L, Jain R, Tung A, Landsman-Blumberg PB, Kramer K, Ali S. Prevalence, treatment patterns, and stay characteristics associated with hospitalizations for major depressive disorder. J Affect Disord. 2019;249:378–384. doi:https://doi.org/10.1016/j.jad.2019.01.044

    Article  PubMed  Google Scholar 

  5. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, USA.

  6. Fabbri E, Zoli M, Gonzalez-Freire M, Salive ME, Studenski SA, Ferrucci L. Aging and Multimorbidity: New Tasks, Priorities, and Frontiers for Integrated Gerontological and Clinical Research. J Am Med Dir Assoc. 2015;16(8):640–647. doi:https://doi.org/10.1016/j.jamda.2015.03.013

    Article  PubMed  PubMed Central  Google Scholar 

  7. Hopman P et al. Effectiveness of comprehensive care programs for patients with multiple chronic conditions or frailty: A systematic literature review. Health policy 2016;120(7):818–832. https://doi.org/10.1016/j.healthpol.2016.04.002

    Article  PubMed  Google Scholar 

  8. Anderson Girard T, Russell K, Leyse-Wallace R. Academy of Nutrition and Dietetics: Revised 2018 Standards of Practice and Standards of Professional Performance for Registered Dietitian Nutritionists (Competent, Proficient, and Expert) in Mental Health and Addictions. J Acad Nutr Diet. 2018;118(10):1975–1986.e53. doi:https://doi.org/10.1016/j.jand.2018.07.013

    Article  PubMed  Google Scholar 

  9. Sarris J, Logan AC, Akbaraly TN, et al. Nutritional medicine as mainstream in psychiatry. Lancet Psychiatry. 2015;2(3):271–274. doi:https://doi.org/10.1016/S2215-0366(14)00051-0

    Article  PubMed  Google Scholar 

  10. Kris-Etherton PM, Petersen KS, Velarde G, et al. Barriers, Opportunities, and Challenges in Addressing Disparities in Diet-Related Cardiovascular Disease in the United States. J Am Heart Assoc 2020;9(7):e014433. doi:https://doi.org/10.1161/JAHA.119.014433

    Article  PubMed  PubMed Central  Google Scholar 

  11. Taylor AM, Holscher HD. A review of dietary and microbial connections to depression, anxiety, and stress. Nutr Neurosci. 2020;23(3):237–250. doi:https://doi.org/10.1080/1028415X.2018.1493808

    Article  CAS  PubMed  Google Scholar 

  12. Lopresti AL, Hood SD, Drummond PD. A review of lifestyle factors that contribute to important pathways associated with major depression: diet, sleep and exercise. J Affect Disord. 2013;148(1):12–27. doi:https://doi.org/10.1016/j.jad.2013.01.014

    Article  PubMed  Google Scholar 

  13. Agarwal E, Miller M, Yaxley A, Isenring E. Malnutrition in the elderly: a narrative review. Maturitas. 2013;76(4):296–302. doi:https://doi.org/10.1016/j.maturitas.2013.07.013

    Article  CAS  PubMed  Google Scholar 

  14. Morley JE, Mooradian AD, Silver AJ, Heber D, Alfin-Slater RB. Nutrition in the elderly. Ann Intern Med. 1988;109(11):890–904. doi:https://doi.org/10.7326/0003-4819-109-11-890

    Article  CAS  PubMed  Google Scholar 

  15. Bersani FS, Canevelli M, Cesari M, et al. Frailty Index as a clinical measure of biological age in psychiatry. J Affect Disord. 2020;268:183–187. doi:https://doi.org/10.1016/j.jad.2020.03.015

    Article  PubMed  Google Scholar 

  16. Dent E, Morley JE, Cruz-Jentoft AJ, et al. Physical Frailty: ICFSR International Clinical Practice Guidelines for Identification and Management. J Nutr Health Aging. 2019;23(9):771–787. doi:https://doi.org/10.1007/s12603-019-1273-z

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Shastri A, Aimola L, Tooke B, et al. Recognition and treatment of depression in older adults admitted to acute hospitals in England. Clin Med (Lond). 2019;19(2):114–118. doi:https://doi.org/10.7861/clinmedicine.19-2-114

    Article  Google Scholar 

  18. Guigoz Y, Vellas B, Garry PJ. Assessing the nutritional status of the elderly: The Mini Nutritional Assessment as part of the geriatric evaluation. Nutr Rev. 1996;54(1 Pt 2):S59–S65. doi:https://doi.org/10.1111/j.1753-4887.1996.tb03793.x

    Article  CAS  PubMed  Google Scholar 

  19. Volkert D, Beck AM, Cederholm T, et al. ESPEN guideline on clinical nutrition and hydration in geriatrics. Clin Nutr. 2019;38(1):10–47. doi:https://doi.org/10.1016/j.clnu.2018.05.024

    Article  PubMed  Google Scholar 

  20. Juby AG, Mager DR. A review of nutrition screening tools used to assess the malnutrition-sarcopenia syndrome (MSS) in the older adult. Clin Nutr ESPEN. 2019;32:8–15. doi:https://doi.org/10.1016/j.clnesp.2019.04.003

    Article  PubMed  Google Scholar 

  21. Machado RS, Coelho MA, Veras RP. Validity of the portuguese version of the mini nutritional assessment in brazilian elderly. BMC Geriatr. 2015;15:132. Published 2015 Oct 22. doi:https://doi.org/10.1186/s12877-015-0129-6

    Article  PubMed  PubMed Central  Google Scholar 

  22. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organ Tech Rep Ser. 1995;854:1–452.

  23. Aprahamian I, Lin SM, Suemoto CK, et al. Feasibility and Factor Structure of the FRAIL Scale in Older Adults. J Am Med Dir Assoc. 2017;18(4):367.e11–367.e18. doi:https://doi.org/10.1016/j.jamda.2016.12.067

    Article  Google Scholar 

  24. Lim SL, Ong KC, Chan YH, Loke WC, Ferguson M, Daniels L. Malnutrition and its impact on cost of hospitalization, length of stay, readmission and 3-year mortality. Clin Nutr. 2012;31(3):345–350. doi:https://doi.org/10.1016/j.clnu.2011.11.001

    Article  PubMed  Google Scholar 

  25. Burgos R, Sarto B, Elío I, et al. Prevalence of malnutrition and its etiological factors in hospitals. Nutr Hosp. 2012;27(2):469–476. doi:https://doi.org/10.1590/S0212-16112012000200018

    CAS  PubMed  Google Scholar 

  26. Agarwal E, Ferguson M, Banks M, et al. Malnutrition and poor food intake are associated with prolonged hospital stay, frequent readmissions, and greater in-hospital mortality: results from the Nutrition Care Day Survey 2010. Clin Nutr. 2013;32(5):737–745. doi:https://doi.org/10.1016/j.clnu.2012.11.021

    Article  PubMed  Google Scholar 

  27. Ghimire S, Baral BK, Pokhrel BR, et al. Depression, malnutrition, and health-related quality of life among Nepali older patients. BMC Geriatr. 2018;18(1):191. Published 2018 Aug 24. doi:https://doi.org/10.1186/s12877-018-0881-5

    Article  PubMed  PubMed Central  Google Scholar 

  28. Ahmadi SM, Mohammadi MR, Mostafavi SA, et al. Dependence of the geriatric depression on nutritional status and anthropometric indices in elderly population. Iran J Psychiatry. 2013;8(2):92–96.

    PubMed  PubMed Central  Google Scholar 

  29. Cabrera MA, Mesas AE, Garcia AR, de Andrade SM. Malnutrition and depression among community-dwelling elderly people. J Am Med Dir Assoc. 2007;8(9):582–584. doi:https://doi.org/10.1016/j.jamda.2007.07.008

    Article  PubMed  Google Scholar 

  30. Deandrea S, Lucenteforte E, Bravi F, Foschi R, La Vecchia C, Negri E. Risk factors for falls in community-dwelling older people: a systematic review and meta-analysis. Epidemiology. 2010;21(5):658–668. doi:https://doi.org/10.1097/EDE.0b013e3181e89905

    Article  PubMed  Google Scholar 

  31. Kvelde T, McVeigh C, Toson B, et al. Depressive symptomatology as a risk factor for falls in older people: systematic review and meta-analysis. J Am Geriatr Soc. 2013;61(5):694–706. doi:https://doi.org/10.1111/jgs.12209

    Article  PubMed  Google Scholar 

  32. Caligiuri MP, Ellwanger J. Motor and cognitive aspects of motor retardation in depression. J Affect Disord. 2000;57(1–3):83–93. doi:https://doi.org/10.1016/s0165-0327(99)00068-3

    Article  CAS  PubMed  Google Scholar 

  33. Gebara MA, Lipsey KL, Karp JF, Nash MC, Iaboni A, Lenze EJ. Cause or Effect? Selective Serotonin Reuptake Inhibitors and Falls in Older Adults: A Systematic Review. Am J Geriatr Psychiatry. 2015;23(10):1016–1028. doi:https://doi.org/10.1016/j.jagp.2014.11.004

    Article  PubMed  Google Scholar 

  34. de Vries M, Seppala LJ, Daams JG, et al. Fall-Risk-Increasing Drugs: A Systematic Review and Meta-Analysis: I. Cardiovascular Drugs. J Am Med Dir Assoc. 2018;19(4):371.e1–371.e9. doi:https://doi.org/10.1016/j.jamda.2017.12.013

    Article  Google Scholar 

  35. Seppala LJ, Wermelink AMAT, de Vries M, et al. Fall-Risk-Increasing Drugs: A Systematic Review and Meta-Analysis: II. Psychotropics. J Am Med Dir Assoc. 2018;19(4):371.e11–371.e17. doi:https://doi.org/10.1016/j.jamda.2017.12.098

    Article  Google Scholar 

  36. Seppala LJ, van de Glind EMM, Daams JG, et al. Fall-Risk-Increasing Drugs: A Systematic Review and Meta-analysis: III. Others. J Am Med Dir Assoc. 2018;19(4):372.e1–372.e8. doi:https://doi.org/10.1016/j.jamda.2017.12.099

    Article  Google Scholar 

  37. Benraad CE, Kamerman-Celie F, van Munster BC, Oude Voshaar RC, Spijker J, Olde Rikkert MG. Geriatric characteristics in randomised controlled trials on antidepressant drugs for older adults: a systematic review. Int J Geriatr Psychiatry. 2016;31(9):990–1003. doi:https://doi.org/10.1002/gps.4443

    Article  PubMed  Google Scholar 

  38. Hayashi T, Umegaki H, Makino T, Cheng XW, Shimada H, Kuzuya M. Association between sarcopenia and depressive mood in urban-dwelling older adults: A cross-sectional study. Geriatr Gerontol Int. 2019;19(6):508–512. doi:https://doi.org/10.1111/ggi.13650

    Article  PubMed  Google Scholar 

  39. Szlejf C, Suemoto CK, Brunoni AR, et al. Depression is Associated With Sarcopenia Due to Low Muscle Strength: Results From the ELSA-Brasil Study. J Am Med Dir Assoc. 2019;20(12):1641–1646. doi:https://doi.org/10.1016/j.jamda.2018.09.020

    Article  PubMed  Google Scholar 

  40. Kokkeler KJE, van den Berg KS, Comijs HC, Oude Voshaar RC, Marijnissen RM. Sarcopenic obesity predicts nonremission of late-life depression. Int J Geriatr Psychiatry. 2019;34(8):1226–1234. doi:10.1002/gps.5121

    Article  PubMed  Google Scholar 

  41. Marijnissen RM, Vogelzangs N, Mulder ME, van den Brink RH, Comijs HC, Oude Voshaar RC. Metabolic dysregulation and late-life depression: a prospective study. Psychol Med. 2017;47(6):1041–1052. doi:https://doi.org/10.1017/S0033291716003196

    Article  CAS  PubMed  Google Scholar 

  42. Collard RM, Arts MHL, Schene AH, Naarding P, Oude Voshaar RC, Comijs HC. The impact of frailty on depressive disorder in later life: Findings from the Netherlands Study of depression in older persons. Eur Psychiatry. 2017;43:66–72. doi:https://doi.org/10.1016/j.eurpsy.2017.01.003

    Article  CAS  PubMed  Google Scholar 

  43. Lugtenburg A, Zuidersma M, Wardenaar KJ, et al. Subtypes of Late-Life Depression: A Data-Driven Approach on Cognitive Domains and Physical Frailty. J Gerontol A Biol Sci Med Sci. 2021;76(1):141–150. doi:https://doi.org/10.1093/gerona/glaa110

    Article  PubMed  Google Scholar 

  44. Luppino FS, de Wit LM, Bouvy PF, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220–229. doi:https://doi.org/10.1001/archgenpsychiatry.2010.2

    Article  PubMed  Google Scholar 

  45. Bertakis KD, Azari R. Obesity and the use of health care services. Obes Res. 2005;13(2):372–379. doi:https://doi.org/10.1038/oby.2005.49

    Article  PubMed  Google Scholar 

  46. Nigatu YT, Bültmann U, Schoevers RA, Penninx BWJH, Reijneveld SA. Does obesity along with major depression or anxiety lead to higher use of health care and costs? A 6-year follow-up study. Eur J Public Health. 2017;27(6):965–971. doi:https://doi.org/10.1093/eurpub/ckx126

    Article  PubMed  Google Scholar 

Download references

Funding

Funding: Prof. Aprahamian receives a National public grant level 2 from the National Council for Scientific and Technological Development (Ministry of Science, Technology, Innovation and Communications, Brazil).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ivan Aprahamian.

Ethics declarations

Disclosure statement: No potential conflict of interest was reported by the authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lobato, Z.M., Almeida da Silva, A.C., Lima Ribeiro, S.M. et al. Nutritional Status and Adverse Outcomes in Older Depressed Inpatients: A Prospective Study. J Nutr Health Aging 25, 889–894 (2021). https://doi.org/10.1007/s12603-021-1638-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12603-021-1638-y

Key words

Navigation