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Sedative Load among Community-Dwelling People Aged 75 Years and Older

A Population-Based Study

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Abstract

Background: Drugs with sedative properties are among the most widely used drugs in community-dwelling older people. Use of sedative drugs has been associated with falls and fractures, cognitive and memory impairment and impaired physical function among older people. The sedative load model has been developed to quantify the cumulative effect of taking multiple drugs with sedative properties.

Objective: The objective of the study was to investigate factors associated with sedative load among community-dwelling older people, using data collected as part of the Finnish Geriatric Multidisciplinary Strategy for the Good Care of the Elderly (GeMS) study.

Methods: The GeMS study was a randomized, comparative study that evaluated a model for geriatric assessment, care and rehabilitation using a study sample of 1000 persons aged ≥75 years who were living in Kuopio, Finland. Of these, 700 people consented to participate and were community-dwelling. Demographic, diagnostic and drug use data (both regular and when-required drugs) were elicited during nurse interviews. For the current analysis, sedative load was computed using a previously published model, in which drugs taken on a regular and when-required basis were classified into one of four groups according to their sedative potential. Group 1 included primary sedatives (sedative rating 2) and group 2 included drugs with sedation as a prominent side effect (sedative rating 1). Each participant’s sedative load was calculated by summing the sedative ratings of group 1 and 2 drugs. Logistic regression models were used to investigate factors associated with sedative load.

Results: Twenty-nine percent of participants (n = 205) had a sedative load of ≥1 (i.e. used one or more drugs with sedative properties), and 22% (n = 158) had a sedative load of ≥2 (i.e. used either one primary sedative or two drugs with sedation as a prominent adverse effect or preparations with a sedating component) when considering regularly used drugs. A sedative load of ≥2 that related to regularly used drugs was associated with female sex (odds ratio [OR] 1.65; 95% CI 1.02, 2.67), poor self-perceived health (OR 2.06; 95% CI 1.25, 3.38), impaired instrumental activities of daily living [IADL] (OR 1.89; 95% CI 1.18, 3.01) and often feeling lonely (OR 4.72; 95% CI 2.15, 10.40). The same factors remained significantly associated with a sedative load of ≥2 after drugs used on a when-required basis were included in the analyses.

Conclusions: The advantages of the sedative load model were that it included drugs with sedative properties prescribed for somatic diseases, described cumulative exposure to drugs that exert sedative effects through multiple mechanisms in the CNS, and incorporated a sedative rating for each drug. In an older population, female sex, impaired IADL, poor self-perceived health, and loneliness were associated with higher sedative load. Clinicians should remain cognizant of these factors when reviewing drug regimens and targeting interventions to optimize sedative use.

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References

  1. Linjakumpu T, Hartikainen SA, Klaukka TJ, et al. Sedative drug use in the home-dwelling elderly. Ann Pharmacother 2004; 38: 2017–22

    Article  PubMed  Google Scholar 

  2. Linden M, Bär T, Helmchen H. Prevalence and appropriateness of psychotropic drug use in old age: results from the Berlin Aging Study (BASE). Int Psychogeriatr 2004; 16: 461–80

    Article  PubMed  Google Scholar 

  3. Smith AJ, Tett SE. How do different age groups use benzodiazepines and antidepressants? Analysis of an Australian administrative database 2003–6. Drugs Aging 2009; 26: 113–22

    Article  PubMed  CAS  Google Scholar 

  4. Taipale HT, Bell JS, Soini H, et al. Sedative load and mortality among residents of long-term care facilities: a prospective cohort study. Drugs Aging 2009; 26: 871–80

    Article  PubMed  CAS  Google Scholar 

  5. Paulose-Ram R, Safran MA, Jonas BS, et al. Trends in psychotropic medication use among U.S. adults. Pharmacoepidemiol Drug Saf 2007; 16: 560–70

    Article  PubMed  Google Scholar 

  6. Guthrie B, Clark SA, McCowan C. The burden of psychotropic drug prescribing in people with dementia: a population database study. Age Ageing 2010; 39: 637–42

    Article  PubMed  Google Scholar 

  7. Jedenius E, Johnell K, Fastbom J, et al. Dementia management programme in a community setting and the use of psychotropic drugs in the elderly population. Scand J Prim Health Care 2011; 29: 181–6

    Article  PubMed  Google Scholar 

  8. Cumming RG, Le Couteur DG. Benzodiazepines and risk of hip fractures in older people: a review of the evidence. CNS Drugs 2003; 17: 825–37

    Article  PubMed  CAS  Google Scholar 

  9. Hartikainen S, Lönnroos E, Louhivuori K. Medication as a risk factor for falls: critical systematic review. J Gerontol A Biol Sci Med Sci 2007; 62: 1172–81

    Article  PubMed  Google Scholar 

  10. Dealberto MJ, Seeman T, McAvay GJ, et al. Factors related to current and subsequent psychotropic drug use in an elderly cohort. J Clin Epidemiol 1997; 50: 357–64

    Article  PubMed  CAS  Google Scholar 

  11. Hanlon JT, Horner RD, Schmader KE, et al. Benzodiazepine use and cognitive function among community-dwelling elderly. Clin Pharmacol Ther 1998; 64: 684–92

    Article  PubMed  CAS  Google Scholar 

  12. Blazer D, Hybels C, Simonsick E, et al. Sedative, hypnotic and antianxiety medication use in aging cohort over ten years: a racial comparison. J Am Geriatr Soc 2000; 48: 1073–9

    PubMed  CAS  Google Scholar 

  13. Gray SL, Penninx BW, Blough DK, et al. Benzodiazepine use and physical performance in community-dwelling older women. J Am Geriatr Soc 2003; 51: 1563–70

    Article  PubMed  Google Scholar 

  14. Buffett-Jerrott SE, Stewart SH. Cognitive and sedative effects of benzodiazepine use. Curr Pharm Des 2002; 8: 45–58

    Article  PubMed  CAS  Google Scholar 

  15. Bourin M, Briley M. Sedation, an unpleasant, undesirable and potentially dangerous side-effect of many psychotropic drugs. Hum Psychopharmacol 2004; 19: 135–9

    Article  PubMed  CAS  Google Scholar 

  16. Linjakumpu T, Hartikainen S, Klaukka T, et al. A model to classify the sedative load of drugs. Int J Geriatr Psychiatry 2003; 18: 542–4

    Article  PubMed  CAS  Google Scholar 

  17. Boudreau RM, Hanlon JT, Roumani YF, et al. Central nervous system medication use and incident mobility limitation in community elders: the Health, Aging and Body Composition Study. Pharmacoepidemiol Drug Saf 2009; 18: 916–22

    Article  PubMed  Google Scholar 

  18. Taipale HT, Hartikainen S, Bell JS. A comparison of four methods to quantify the cumulative effect of taking multiple drugs with sedative properties. Am J Geriatr Pharmacother 2010; 8: 460–71

    Article  PubMed  CAS  Google Scholar 

  19. Bell JS, Taipale HT, Soini H, et al. Sedative load among long-term care facility residents with and without dementia: a cross-sectional study. Clin Drug Invest 2010; 30: 63–70

    Article  Google Scholar 

  20. Taipale HT, Bell JS, Gnjidic D, et al. Muscle strength and sedative load in community-dwelling older people aged 75 years and older: a population-based study. J Gerontol A Biol Sci Med Sci. Epub 2011 Oct 4

    Google Scholar 

  21. Lampela P, Hartikainen S, Sulkava R, et al. Adverse drug effects in elderly people: a disparity between clinical examination and adverse effects self-reported by the patient. Eur J Clin Pharmacol 2007; 63: 509–15

    Article  PubMed  Google Scholar 

  22. Pokela N, Bell JS, Lihavainen K, et al. Analgesic use among community-dwelling people aged 75 years and older: a population-based interview study. Am J Geriatr Pharmacother 2010; 8: 233–44

    Article  PubMed  Google Scholar 

  23. Aira M, Hartikainen S, Sulkava R. Drinking alcohol for medicinal purposes by people aged over 75: a community-based interview study. Fam Pract 2008; 25: 445–9

    Article  PubMed  Google Scholar 

  24. Yesavage JA, Brink TL, Rose TL, et al. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res 1982–1983; 17: 37–49

    Article  PubMed  Google Scholar 

  25. Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 1969; 9: 179–86

    Article  PubMed  CAS  Google Scholar 

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

    Google Scholar 

  27. McKeith IG, Galasko D, Kosaka K, et al. Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB): report of the consortium on DLB international workshop. Neurology 1996; 47: 1113–24

    Article  PubMed  CAS  Google Scholar 

  28. WHO Collaborating Centre for Drug Statistics Methodology. The Anatomical Therapeutic Chemical classification system, 2010 [online]. Available from URL: http://www.whocc.no/atcddd/ [Accessed 2010 Nov 24]

  29. Remington G. Understanding antipsychotic “atypicality”: a clinical and pharmacological moving target. J Psychiatry Neurosci 2003; 28: 275–84

    PubMed  Google Scholar 

  30. Gleason PP, Schulz R, Smith NL, et al. Correlates and prevalence of benzodiazepine use in community-dwelling elderly. J Gen Intern Med 1998; 13: 243–50

    Article  PubMed  CAS  Google Scholar 

  31. Egan M, Moride Y, Wolfson C, et al. Long term continuous use of benzodiazepines by older adults in Quebec: prevalence, incidence and risk factors. J Am Geriatr Soc 2000; 48: 811–6

    PubMed  CAS  Google Scholar 

  32. Fourrier A, Letenneur L, Dartigues JF, et al. Benzodiazepine use in an elderly community-dwelling population: characteristics of users and factors associated with subsequent use. Eur J Clin Pharmacol 2001; 57: 419–25

    Article  PubMed  CAS  Google Scholar 

  33. Aparasu RR, Mort JR, Brandt H. Psychotropic prescription use by community-dwelling elderly in the United States. J Am Geriatr Soc 2003; 51: 671–7

    Article  PubMed  Google Scholar 

  34. Voyer P, Cohen D, Lauzon S, et al. Factors associated with psychotropic drug use among community dwelling older persons: a review of empirical studies. BMC Nurs 2004; 3: 3

    Article  PubMed  Google Scholar 

  35. Carrasco-Garrido P, Jimenez-Garcia R, Astasio-Arbiza P, et al. Psychotropics use in the Spanish elderly: predictors and evolution between years 1993 and 2003. Pharmacoepidemiol Drug Safety 2007; 16: 449–57

    Article  CAS  Google Scholar 

  36. Fortin D, Préville M, Ducharme C, et al. Factors associated with long-term benzodiazepine use among elderly women and men in Quebec. J Women Aging 2007; 19: 37–52

    Article  PubMed  Google Scholar 

  37. Luijendijk HJ, Tiemeier H, Hofman A, et al. Determinants of chronic benzodiazepine use in the elderly: a longitudinal study. Br J Clin Pharmacol 2007; 65: 593–9

    Article  PubMed  Google Scholar 

  38. Cheng JS, Huang WF, Lin KM, et al. Characteristics associated with benzodiazepine usage in elderly outpatients in Taiwan. Int J Geriatric Psychiatry 2008; 23: 618–24

    Article  Google Scholar 

  39. Malmivaara A, Heliovaara M, Knekt P, et al. Risk factors for injurious falls leading to hospitalization or death in a cohort of 19,500 adults. Am J Epidemiol 1993; 138: 384–94

    PubMed  CAS  Google Scholar 

  40. Bolton JM, Robinson J, Sareen J. Self-medication of mood disorders with alcohol and drugs in the National Epidemiologic Survey and Related Conditions. J Affect Disord 2009; 115: 367–75

    Article  PubMed  Google Scholar 

  41. Assem-Hilger E, Jungwirth S, Weissgram S, et al. Benzodiazepine use in the elderly: an indicator for inappropriate treated geriatric depression? Int J Geriatr Psychiatry 2009; 24: 563–9

    Article  PubMed  Google Scholar 

  42. Bowie MW, Slattum PW. Pharmacodynamics in older adults: a review. Am J Geriatr Pharmacother 2007; 5: 263–330

    Article  PubMed  CAS  Google Scholar 

  43. Hilmer SN, McLachlan AJ, Le Couteur DG. Clinical pharmacology in the geriatric patient. Fundam Clin Pharmacol 2007; 21: 217–30

    Article  PubMed  CAS  Google Scholar 

  44. Hanlon JT, Boudreau RM, Roumani YF, et al. Number and dosage of central nervous system medications on recurrent falls in community elders: the Health, Aging and Body Composition Study. J Gerontol A Biol Sci Med Sci 2009; 64A: 492–8

    Article  Google Scholar 

  45. Wright RM, Roumani YF, Boudreau R, et al. Effect of central nervous system medication use on decline in cognition in community-dwelling older adults: findings from the Health, Aging and Body Composition Study. J Am Geriatr Soc 2009; 57: 243–50

    Article  PubMed  Google Scholar 

  46. Lau HS, de Boer A, Beuning KS et al. Validation of pharmacy records in drug exposure assessment. J Clin Epidemiol 1997; 50: 619–25

    Article  PubMed  CAS  Google Scholar 

  47. Rikala M, Hartikainen S, Sulkava R et al. Validity of the Finnish prescription register for measuring psychotropic drug exposure among elderly Finns. Drugs Aging 2010; 27: 337–49

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors thank the Social Insurance Institution of Finland and City of Kuopio for supporting the Geriatric Multidisciplinary Strategy for the Good Care of the Elderly (GeMS) study. The funders played no role in the design of the GeMS study or the preparation of this article. No other sources of funding were used to assist in the preparation of the manuscript. All authors declare that they have no conflicts of interest directly relevant to the content of the manuscript.

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Correspondence to Heidi T. Taipale.

Appendix

Appendix

See table A1 for the new drugs included in the sedative load model that were marketed in Finland up until 2009.

Table A1
figure Tab4

New drugs included in the sedative load model that were marketed in Finland up until 2009

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Taipale, H.T., Bell, J.S., Uusi-Kokko, M. et al. Sedative Load among Community-Dwelling People Aged 75 Years and Older. Drugs Aging 28, 913–925 (2011). https://doi.org/10.2165/11597800-000000000-00000

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