IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0225416.html
   My bibliography  Save this article

Multimorbidity and complex multimorbidity in Brazilian rural workers

Author

Listed:
  • Glenda Blaser Petarli
  • Monica Cattafesta
  • Monike Moreto Sant’Anna
  • Olívia Maria de Paula Alves Bezerra
  • Eliana Zandonade
  • Luciane Bresciani Salaroli

Abstract

Objective: To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition. Methods: This is a cross-sectional epidemiological study with 806 farmers from the main agricultural municipality of the state of Espírito Santo/Brazil, conducted from December 2016 to April 2017. Multimorbidity was defined as the presence of two or more chronic diseases in the same individual, while complex multimorbidity was classified as the occurrence of three or more chronic conditions affecting three or more body systems. Socio-demographic data, occupational contact with pesticides, lifestyle data and clinical condition data were collected through a structured questionnaire. Binary logistic regression was conducted to identify risk factors for multimorbidity. Results: The prevalence of multimorbidity among farmers was 41.5% (n = 328), and complex multimorbidity was 16.7% (n = 132). More than 77% of farmers had at least one chronic illness. Hypertension, dyslipidemia and depression were the most prevalent morbidities. Being 40 years or older (OR 3.33, 95% CI 2.06–5.39), previous medical diagnosis of pesticide poisoning (OR 1.89, 95% CI 1.03–3.44), high waist circumference (OR 2.82, CI 95% 1.98–4.02) and worse health self-assessment (OR 2.10, 95% CI 1.52–2.91) significantly increased the chances of multimorbidity. The same associations were found for the diagnosis of complex multimorbidity. Conclusion: We identified a high prevalence of multimorbidity and complex multimorbidity among the evaluated farmers. These results were associated with increased age, abdominal fat, pesticide poisoning, and poor or fair health self-assessment. Public policies are necessary to prevent, control and treat this condition in this population.

Suggested Citation

  • Glenda Blaser Petarli & Monica Cattafesta & Monike Moreto Sant’Anna & Olívia Maria de Paula Alves Bezerra & Eliana Zandonade & Luciane Bresciani Salaroli, 2019. "Multimorbidity and complex multimorbidity in Brazilian rural workers," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-17, November.
  • Handle: RePEc:plo:pone00:0225416
    DOI: 10.1371/journal.pone.0225416
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0225416
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0225416&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0225416?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Concepció Violan & Quintí Foguet-Boreu & Gemma Flores-Mateo & Chris Salisbury & Jeanet Blom & Michael Freitag & Liam Glynn & Christiane Muth & Jose M Valderas, 2014. "Prevalence, Determinants and Patterns of Multimorbidity in Primary Care: A Systematic Review of Observational Studies," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-9, July.
    2. Marjan van den Akker & Bert Vaes & Geert Goderis & Gijs Van Pottelbergh & Tine De Burghgraeve & Séverine Henrard, 2019. "Trends in multimorbidity and polypharmacy in the Flemish-Belgian population between 2000 and 2015," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-12, February.
    3. Christopher Harrison & Joan Henderson & Graeme Miller & Helena Britt, 2017. "The prevalence of diagnosed chronic conditions and multimorbidity in Australia: A method for estimating population prevalence from general practice patient encounter data," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
    4. John Tayu Lee & Fozia Hamid & Sanghamitra Pati & Rifat Atun & Christopher Millett, 2015. "Impact of Noncommunicable Disease Multimorbidity on Healthcare Utilisation and Out-Of-Pocket Expenditures in Middle-Income Countries: Cross Sectional Analysis," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-18, July.
    5. Anne Frølich & Nermin Ghith & Michaela Schiøtz & Ramune Jacobsen & Anders Stockmarr, 2019. "Multimorbidity, healthcare utilization and socioeconomic status: A register-based study in Denmark," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-15, August.
    6. Mohammad Akhtar Hussain & Judith M Katzenellenbogen & Frank M Sanfilippo & Kevin Murray & Sandra C Thompson, 2018. "Complexity in disease management: A linked data analysis of multimorbidity in Aboriginal and non-Aboriginal patients hospitalised with atherothrombotic disease in Western Australia," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ruth Hardman & Stephen Begg & Evelien Spelten, 2021. "Multimorbidity and its effect on perceived burden, capacity and the ability to self-manage in a low-income rural primary care population: A qualitative study," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-18, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Annette Peart & Virginia Lewis & Chris Barton & Grant Russell, 2020. "Healthcare professionals providing care coordination to people living with multimorbidity: An interpretative phenomenological analysis," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(13-14), pages 2317-2328, July.
    2. Sandra C. Thompson & Lee Nedkoff & Judith Katzenellenbogen & Mohammad Akhtar Hussain & Frank Sanfilippo, 2019. "Challenges in Managing Acute Cardiovascular Diseases and Follow Up Care in Rural Areas: A Narrative Review," IJERPH, MDPI, vol. 16(24), pages 1-17, December.
    3. Quintí Foguet-Boreu & Concepción Violán & Teresa Rodriguez-Blanco & Albert Roso-Llorach & Mariona Pons-Vigués & Enriqueta Pujol-Ribera & Yolima Cossio Gil & Jose M Valderas, 2015. "Multimorbidity Patterns in Elderly Primary Health Care Patients in a South Mediterranean European Region: A Cluster Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-14, November.
    4. Neubert, Lydia & König, Hans-Helmut & Löbner, Margrit & Luppa, Melanie & Pentzek, Michael & Fuchs, Angela & Weeg, Dagmar & Bickel, Horst & Oey, Anke & Wiese, Birgitt & Weyerer, Siegfried & Werle, Joch, 2021. "Excess costs of dementia in old age (85+) in Germany: Results from the AgeCoDe-AgeQualiDe study," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).
    5. Anupa Rijal & Tara Ballav Adhikari & Jahangir A M Khan & Gabriele Berg-Beckhoff, 2018. "The economic impact of non-communicable diseases among households in South Asia and their coping strategy: A systematic review," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-23, November.
    6. Marina Gabriela Nascimento Almeida & Mary Anne Nascimento-Souza & Maria Fernanda Lima-Costa & Sérgio Viana Peixoto, 2020. "Lifestyle factors and multimorbidity among older adults (ELSI-Brazil)," European Journal of Ageing, Springer, vol. 17(4), pages 521-529, December.
    7. Bomi Park & Hye Ah Lee & Hyesook Park, 2019. "Use of latent class analysis to identify multimorbidity patterns and associated factors in Korean adults aged 50 years and older," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-13, November.
    8. Yu Fu & Mingsheng Chen, 2022. "The Impact of Multimorbidities on Catastrophic Health Expenditures among Patients Suffering from Hypertension in China: An Analysis of Nationwide Representative Data," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    9. Yeoh, Eng-Kiong & Yam, Carrie H.K. & Chong, Ka-Chun & Chow, Tsz-Yu & Fung, Valerie L.H. & Wong, Eliza L.Y. & Griffiths, Sian M., 2020. "An evaluation of universal vouchers as a demand-side subsidy to change primary care utilization: A retrospective analysis of longitudinal services utilisation and voucher claims data from a survey coh," Health Policy, Elsevier, vol. 124(2), pages 189-198.
    10. Dai Su & Yingchun Chen & Hongxia Gao & Haomiao Li & Jingjing Chang & Shihan Lei & Di Jiang & Xiaomei Hu & Min Tan & Zhifang Chen, 2019. "Is There a Difference in the Utilisation of Inpatient Services Between Two Typical Payment Methods of Health Insurance? Evidence from the New Rural Cooperative Medical Scheme in China," IJERPH, MDPI, vol. 16(8), pages 1-16, April.
    11. Juliane Tetzlaff & Denise Muschik & Jelena Epping & Sveja Eberhard & Siegfried Geyer, 2017. "Expansion or compression of multimorbidity? 10-year development of life years spent in multimorbidity based on health insurance claims data of Lower Saxony, Germany," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(6), pages 679-686, July.
    12. Slagboom, M. Nienke & Crone, Mathilde R. & Reis, Ria, 2022. "Exploring syndemic vulnerability across generations: A case study of a former fishing village in the Netherlands," Social Science & Medicine, Elsevier, vol. 295(C).
    13. Shira Sagie & Wasef Na'amnih & Juda Frej & Daniel Cohen & Gershon Alpert & Khitam Muhsen, 2019. "Correlates of hospitalizations in internal medicine divisions among Israeli adults of different ethnic groups with hypertension, diabetes and cardiovascular diseases," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-16, April.
    14. Joelle H Fong, 2019. "Out-of-pocket health spending among Medicare beneficiaries: Which chronic diseases are most costly?," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-16, September.
    15. Joël Coste & José M Valderas & Laure Carcaillon-Bentata, 2021. "Estimating and characterizing the burden of multimorbidity in the community: A comprehensive multistep analysis of two large nationwide representative surveys in France," PLOS Medicine, Public Library of Science, vol. 18(4), pages 1-22, April.
    16. Qinfeng Zhao & Jian Wang & Stephen Nicholas & Elizabeth Maitland & Jingjie Sun & Chen Jiao & Lizheng Xu & Anli Leng, 2020. "Health-Related Quality of Life and Health Service Use among Multimorbid Middle-Aged and Older-Aged Adults in China: A Cross-Sectional Study in Shandong Province," IJERPH, MDPI, vol. 17(24), pages 1-13, December.
    17. Ruwan Jayathilaka & Sheron Joachim & Venuri Mallikarachchi & Nishali Perera & Dhanushika Ranawaka, 2020. "Do chronic illnesses and poverty go hand in hand?," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    18. Shannen Vallesi & Matthew Tuson & Andrew Davies & Lisa Wood, 2021. "Multimorbidity among People Experiencing Homelessness—Insights from Primary Care Data," IJERPH, MDPI, vol. 18(12), pages 1-16, June.
    19. Ha T.T. Dinh & Nguyet T. Nguyen & Ann Bonner, 2020. "Health literacy profiles of adults with multiple chronic diseases: A cross‐sectional study using the Health Literacy Questionnaire," Nursing & Health Sciences, John Wiley & Sons, vol. 22(4), pages 1153-1160, December.
    20. Hlaing Hlaing-Hlaing & Xenia Dolja-Gore & Meredith Tavener & Erica L. James & Allison M. Hodge & Alexis J. Hure, 2021. "Diet Quality and Incident Non-Communicable Disease in the 1946–1951 Cohort of the Australian Longitudinal Study on Women’s Health," IJERPH, MDPI, vol. 18(21), pages 1-21, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0225416. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.