Skip to main content
Log in

Impact of multimorbidity on the use of sleep medications among women: a population-based study in Southern Brazil

  • Psychiatrics • Original Article
  • Published:
Sleep and Breathing Aims and scope Submit manuscript

Abstract

Objective

To investigate the association between multimorbidity and sleep medication use in women.

Methods

A population-based cross-sectional study was conducted on women (20–69 years) in Southern Brazil. Sleep medications were identified using the Therapeutic and Chemical Anatomical Classification. Multimorbidity was operationalized according to two cutoff points: diagnosis of either two or more or three or more chronic conditions and presence or absence of obesity. Explanatory variables included sociodemographic, behavioral, and health factors including obesity and common mental disorders (CMD) (assessed using the Self-Reporting Questionnaire 20 for CMD). Crude and adjusted prevalence ratios (PR) and 95% confidence intervals (95%CIs) were estimated with Poisson regression with robust variance using various adjustment models.

Results

In a sample of 1128 women, the prevalence of sleep medications was 14.3% (95%CI 12.2–16.3). After adjustments, the association between multimorbidity and sleep medication use yielded the following PR: multimorbidity ≥ 2:1.78 (95%CI, 1.23–2.56) and multimorbidity ≥ 3:1.90 (95%CI, 1.36–2.68). When obesity was included in the model, the effect was in the same direction but smaller, indicating that the presence of multimorbidity had an independent effect on the use of sleep medications, even after adjusting for CMD.

Conclusion

The presence of multimorbidity increased the probability of using sleep medications by approximately 80%, regardless of the observed cutoff point, inclusion of obesity in multimorbidity, and adjustment for CMD. Specific aspects of some chronic conditions may interfere with sleep quality, predisposing women to begin use of these medications at early ages and, consequently, to continue their use throughout later life.

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

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Abolhassani N, Haba-Rubio J, Heinzer R, Vollenweider P, Marques-Vidal P (2019) Ten-year trend in sleeping pills use in Switzerland: the CoLaus study. Sleep Med 64:56–61

    Article  PubMed  Google Scholar 

  2. IBGE. Pesquisa Nacional de Saúde 2013 [Internet]. 2014. Available from: ftp://ftp.ibge.gov.br/PNS/2013/pns2013.pdf

  3. Estancial Fernandes CS, de Azevedo RCS, Goldbaum M, Azevedo Barros MB, de. (2018) Psychotropic use patterns: are there differences between men and women? PLoS ONE 13(11):1–16

    Article  Google Scholar 

  4. Linnet K, Gudmundsson LS, Birgisdottir FG, Sigurdsson EL, Johannsson M, Tomasdottir MO et al (2016) Multimorbidity and use of hypnotic and anxiolytic drugs: cross-sectional and follow-up study in primary healthcare in Iceland. BMC Fam Pract 17(1):1–10. Available from: https://doi.org/10.1186/s12875-016-0469-0

  5. Koyanagi A, Garin N, Olaya B, Ayuso-Mateos JL, Chatterji S, Leonardi M et al (2014) Chronic conditions and sleep problems among adults aged 50 years or over in nine countries: a multi-country study. PLoS ONE 9(12):1–17

    Article  Google Scholar 

  6. Leigh L, Hudson IL, Byles JE (2016) Sleep difficulty and disease in a cohort of very old women. J Aging Health 28(6):1090–1104

    Article  PubMed  Google Scholar 

  7. Garin N, Koyanagi A, Chatterji S, Tyrovolas S, Olaya B, Leonardi M et al (2016) Global multimorbidity patterns: a cross-sectional, population-based, multi-country study. J Gerontol Series A Biol Sci Med Sci 71(2):205–214

    Article  PubMed  Google Scholar 

  8. Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA (2013) Health-related quality of life and healthcare utilization in multimorbidity: results of a cross-sectional survey. Qual Life Res 22(4):791–799

    Article  PubMed  Google Scholar 

  9. Canizares M, Hogg-Johnson S, Gignac MAM, Glazier RH, Badley EM (2018) Increasing trajectories of multimorbidity over time: birth cohort differences and the role of changes in obesity and income. J Gerontol - Series B Psychol Sci Soc Sci 73(7):1303–1314

    Google Scholar 

  10. Dong HJ, Unosson M, Wressle E, Marcusson J (2012) Health consequences associated with being overweight or obese: a Swedish population-based study of 85-year-olds. J Am Geriatr Soc 60(2):243–250

    Article  PubMed  Google Scholar 

  11. Jackson CA, Dobson AJ, Tooth LR, Mishra GD (2016) Lifestyle and socioeconomic determinants of multimorbidity patterns among mid-aged women: a longitudinal study. PLoS ONE 11(6):1–16

    Article  Google Scholar 

  12. Vincent A, Whipple MO, McAllister SJ, Aleman KM, St Sauver JL (2015) A cross-sectional assessment of the prevalence of multiple chronic conditions and medication use in a sample of community-dwelling adults with fibromyalgia in Olmsted County, Minnesota. BMJ Open 5(3):1–5

    Article  Google Scholar 

  13. Moreno-Vecino B, Arija-Blázquez A, Pedrero-Chamizo R, Gómez-Cabello A, Alegre LM, Pérez-López FR et al (2017) Sleep disturbance, obesity, physical fitness and quality of life in older women: EXERNET study group. Climacteric 20(1):72–79

    Article  CAS  PubMed  Google Scholar 

  14. Ternus DL, Henn RL, Bairros F, da Costa JS, Olinto MTA (2019) Padrões alimentares e sua associação com fatores sociodemográficos e comportamentais: Pesquisa Saúde da Mulher 2015, São Leopoldo (RS). Rev Bras Epidemiol 22:e190026

    Article  PubMed  Google Scholar 

  15. Neutzling AL, Leite HM, Paniz VM v., de Bairros FS, Dias da Costa JS, Olinto MTA (2020) Association between common mental disorders, sleep quality, and menopausal symptoms: a population-based study in Southern Brazil. Menopause 27(4):463–72

  16. Franken DL, Olinto MTA, Dias-da-Costa JS, Bairros FS de, Paniz VMV (2022) Lifestyle, high body mass index, and markers of socioeconomic conditions associated with multimorbidity in women. Rev Bras Epidemiol 25:e220007. https://doi.org/10.1590/1980-549720220007

  17. WHO (2016) Multimorbidity. Technical series on safer primary care. World Health Organization; 28

  18. WHOCC (2004) World Health Organization Collaborating Centre for Drug Statistics Methodology. Anatomical Therapeutic Chemical (ATC) classification index with Defined Daily Doses (DDD’s). Geneva: World Health Organization

  19. Huber CA, Szucs TD, Rapold R, Reich O (2013) Identifying patients with chronic conditions using pharmacy data in Switzerland: an updated mapping approach to the classification of medications. Available from: http://www.biomedcentral.com/1471-2458/13/1030

  20. Machado V de SS, Valadares ALR, Costa-Paiva LH, Osis MJ, Sousa MH, Pinto-Neto AM (2013) Aging, obesity, and multimorbidity in women 50 years or older: a population-based study. Menopause 20(8):818–24

  21. Nunes BP, Camargo-Figuera, Guttier M, Oliveira PD de, Munhoz TN, Matijasevich A, et al. (2016) Multimorbidity in adults from a southern Brazilian city: occurrence and patterns. Int J Public Health 61:1013–20

  22. Stables GJ, Subar AF, Patterson BH, Dodd K, Heimendinger J, Van Duyn MAS et al (2002) Changes in vegetable and fruit consumption and awareness among US adults: results of the 1991 and 1997 5 A Day for Better Health Program surveys. J Am Diet Assoc 102(6):809–817

    Article  PubMed  Google Scholar 

  23. Barroso W, Rodrigues C, Bortolotto L, Gomes M, Brandão A, Feitosa A (2020) Diretrizes Diretrizes Brasileiras de Hipertensão Arterial –. Arq Bras Cardiol 2020:1–143

    Google Scholar 

  24. Matsudo S, Araújo T, Matsudo V, Andrade D, Andrade E, Oliveira LC et al (2001) Questionário Internacional De Atividade Física (IPAQ): Estupo De Validade E Reprodutibilidade No Brasil. Revista Brasileira de Atividade Física & Saúde 6(2):5–18

    Google Scholar 

  25. WHO (2000) Obesity: preventing and managing the global epidemic. Report of a WHO consultation

  26. Gonçalves DM, Stein AT, Kapczinski F (2008) Avaliação de desempenho do Self-Reporting Questionnaire como instrumento de rastreamento psiquiátrico: Um estudo comparativo com o Structured Clinical Interview for DSM-IV-TR. Cad Saude Publica 24(2):380–390

    Article  PubMed  Google Scholar 

  27. Iacoponi E, De J, Mari J (1989) Reliability and factor structure of the Portuguese version of Self-Reporting Questionnaire. Int J Soc Psychiatry 35(3):213–22. https://doi.org/10.1177/002076408903500301

  28. Ali GC, Ryan G (2016) de Silva MJ (2016) Validated screening tools for common mental disorders in low and middle income countries: a systematic review. PLoS ONE 11(6):e0156939. https://doi.org/10.1371/journal.pone.0156939

  29. Grapiglia CZ, da Costa JSD, Pattussi MP, Paniz VMV, Olinto MTA (2021) Factors associated with common mental disorders: a study based on clusters of women. Rev Saude Publica 8(55):77. https://doi.org/10.11606/s1518-8787.2021055003124

  30. Paraventi F, Cogo-Moreira H, Paula CS, de Jesus MJ (2015) Psychometric properties of the self-reporting questionnaire (SRQ-20): measurement invariance across women from Brazilian community settings. Compr Psychiatry 58:213–220

    Article  PubMed  Google Scholar 

  31. Barros AJD, Hirakata VN (2003) Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol 3:1–13

    Article  Google Scholar 

  32. Victora CG, Huttly SR, Fuchs CS, Olinto MTA, Zukic M, Herman P (1997) The role of conceptual frameworks in epidemiological analysis: a hierarchical approach CESAR. Int J Epidemiol 17:707–722

    Google Scholar 

  33. Tripković K, Nešković A, Janković J, Odalović M (2018) Predictors of self-medication in Serbian adult population: cross-sectional study. Int J Clin Pharm 40(3):627–634

    Article  PubMed  Google Scholar 

  34. Conselho Federal de Medicina, Departamento de Medicina Preventiva da Faculdade de Medicina da USP. DEMOGRAFIA NO BRASIL MÉDICA (2020) Available from: www.portalmedico.org.br

  35. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B (2012) Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. The Lancet 380(9836):37–43

    Article  Google Scholar 

  36. Mattos LB, Dahmer A, Magalhães CR (2015) Abcs health sciences Cs. Abcs Health Sciences Cs 40(3):184–189

    Google Scholar 

  37. Oliveira ALML, Nascimento MMG, Castro-Costa É, Firmo JOA, Lima-Costa MF, Loyola Filho AI. (2020) Increased use of benzodiazepines among older adults: Bambuí project. Rev Bras Epidemiol 23:e200029. English, Portuguese. https://doi.org/10.1590/1980-549720200029

  38. Katzmarzyk PT, Reeder BA, Elliott S, Joffres MR, Pahwa P, Raine KD et al (2012) Body mass index and risk of cardiovascular disease, cancer and all-cause mortality. Can J Public Health 103(2):147–151

    Article  PubMed  PubMed Central  Google Scholar 

  39. Wang F, Xu S, Shen X, Guo X, Shen R (2012) Epidemiology of multimorbidity. The Lancet 380(9851):1382–1383

    Article  Google Scholar 

Download references

Funding

M.T.A.O. received research productivity grants from the Brazilian Council for Scientific and Technological Development (CNPq) (process n. 307257/2013–4 and 307175/2017–0). J.S.D.C. received research productivity grants from CNPq (process nº 310595/2018–0). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES), Finance Code 001: M.G.S; D.L.F, CAPES financial aid beneficiaries. The sponsors had no role in the design or conduct of this research.

Author information

Authors and Affiliations

Authors

Contributions

Michele Gabriela Schmidt: significant participation in the creation of the study, in the analysis/interpretation of data; involvement in the preparation and review of the manuscript; and approval of the final version of the manuscript for publication. Responsibility for the accuracy and investigation of all aspects of the research. Débora Luiza Franken: participation in the creation of the study, in data analysis; involvement in the elaboration of the manuscript; and approval of the final version of the manuscript for publication. Maria Teresa Anselmo Olinto: significant participation in the study design, data collection, and analysis/interpretation; involvement in reviewing the manuscript; and approval of the final version of the manuscript for publication. Juvenal Soares Dias da Costa: significant participation in the design of the study, in data collection, and approval of the final version of the manuscript for publication. Vera Maria Vieira Paniz: significant participation in the creation of the study, in the analysis/interpretation of data; involvement in the preparation and review of the manuscript; and approval of the final version of the manuscript for publication. Responsibility for the accuracy and investigation of all aspects of the research.

Corresponding authors

Correspondence to Michele Gabriela Schmidt or Vera Maria Vieira Paniz.

Ethics declarations

Ethics approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the Ethics Committee of the University of Vale do Rio dos Sinos under protocol number 650,443 and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Consent to participate

Informed consent was obtained from all individual participants included in the study.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schmidt, M.G., Franken, D.L., Olinto, M.T.A. et al. Impact of multimorbidity on the use of sleep medications among women: a population-based study in Southern Brazil. Sleep Breath 27, 1135–1142 (2023). https://doi.org/10.1007/s11325-022-02672-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11325-022-02672-5

Keywords

Navigation