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Prevalence of non-communicable chronic diseases: arterial hypertension, diabetes mellitus, and associated risk factors in long-lived elderly people

Prevalencia de enfermedades crónicas no transmisibles: hipertensión arterial, diabetes mellitus y factores de riesgo asociados en ancianos longevos

ABSTRACT

Objective:

To identify the prevalence of non-communicable chronic diseases: arterial hypertension, diabetes mellitus, and associated risk factors in long-lived elderly people from three Brazilian regions.

Methods:

This is a multicenter, cross-sectional, and comparative study conducted with elderly people aged 80 years or older.

Results:

Higher prevalence of arterial hypertension were observed among those who use polypharmacy (75.7%), among elderly people aged between 80 and 84 years (33.9%), as well as in elderly people who are overweight (78.2%). The prevalence of diabetes was 24% (RP: 0.76; 95% CI: 0.59-0.98) lower among women compared to men and 2.15 times higher among those who use five or more medications (RP: 2.15; 95% CI: 1.63-2.85).

Conclusions:

In our sample, polypharmacy, body weight, and gender determine the prevalence of non-communicable chronic diseases: arterial hypertension and diabetes mellitus in long-lived elderly people.

Descriptors:
Disease; Aged; Octogenarians; Risk Factors; Prevalence.

RESUMEN

Objetivo:

Identificar la prevalencia de enfermedades crónicas no transmisibles: hipertensión arterial, diabetes mellitus y los factores de riesgo asociados en ancianos longevos de tres regiones brasileñas.

Métodos:

Se trata de un estudio multicéntrico, transversal y comparativo, realizado con ancianos con edad igual o superior a 80 años.

Resultados:

Se observaron mayores prevalencias de hipertensión arterial entre aquellos que hacen uso de polifarmacia (75,7%), entre los ancianos con edad entre 80 y 84 años (33,9%), así como en ancianos que presentan sobrepeso (78,2%). La prevalencia de diabetes fue 24% (RP: 0,76; IC 95%: 0,59-0,98) menor entre las mujeres en comparación con los hombres y 2,15 veces mayor entre aquellos que utilizan cinco o más medicamentos (RP: 2,15; IC 95%: 1,63-2,85).

Conclusión:

En nuestra muestra, la polifarmacia, el peso corporal y el sexo determinan la prevalencia de las enfermedades crónicas no transmisibles: hipertensión arterial y diabetes mellitus en ancianos longevos.

Descriptores:
Enfermedad; Anciano; Anciano de 80 o Más Años; Factores de Riesgo; Prevalencia.

RESUMO

Objetivo:

identificar a prevalência das doenças crônicas não transmissíveis: hipertensão arterial, diabetes mellitus e os fatores de risco associados em pessoas idosas longevas de três regiões brasileiras.

Métodos:

trata-se de um estudo multicêntrico, transversal e comparativo, realizado com pessoas idosas com idade igual ou superior a 80 anos. Resultados: foram observadas maiores prevalências de hipertensão arterial entre aqueles que fazem uso de polifarmácia (75,7%), entre as pessoas idosas com idade entre 80 e 84 anos (33,9%), bem como em pessoas idosas que apresentam sobrepeso (78,2%). A prevalência de diabetes foi 24% (RP: 0,76; IC 95%: 0,59-0,98) menor entre as mulheres quando comparadas aos homens e 2,15 vezes maior entre aqueles que utilizam cinco ou mais medicamentos (RP: 2,15; IC 95%: 1,63-2,85).

Conclusões:

Em nossa amostra, a polifarmácia, o peso corporal e o sexo determinam a prevalência das doenças crônicas não transmissíveis: hipertensão arterial e diabetes mellitus em pessoas idosas longevas.

Descritores:
Doença; Idoso; Idoso de 80 Anos ou Mais; Fatores de Risco; Prevalência.

INTRODUCTION

Brazil is aging, and this is justified by the decline in fertility rates associated with the increase in life expectancy(11 United Nations (UN). Departmennt of Economic and Social Affairs, Population Division. World Population Prospects 2022 [Internet]. 2022[cited 2022 Dec 19]. Available from: https://population.un.org/wpp/Graphs/DemographicProfiles/Pyramid/76
https://population.un.org/wpp/Graphs/Dem...
). In addition, the population of very old elderly individuals (age 80 years and over) is expected to reach significant numbers of 434 million by the year 2050, tripling the quantity compared to 2015(11 United Nations (UN). Departmennt of Economic and Social Affairs, Population Division. World Population Prospects 2022 [Internet]. 2022[cited 2022 Dec 19]. Available from: https://population.un.org/wpp/Graphs/DemographicProfiles/Pyramid/76
https://population.un.org/wpp/Graphs/Dem...
-22 United Nations (UN). World population ageing 2015[Internet]. 2017[cited 2022 Dec 19]. Available from: https://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2015_Report.pdf
https://www.un.org/en/development/desa/p...
). In this context, non-communicable chronic diseases (NCDs) related to aging represent a relevant global public health problem, causing family, social and economic impacts(33 Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441-50. https://doi.org/10.1161/CIRCULATIONAHA.115.018912
https://doi.org/10.1161/CIRCULATIONAHA.1...
-44 Williams R, Karuranga S, Malanda B, Saeedi P, Basit A, Besancon S, et al. Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108072. https://doi.org/10.1016/j.diabres.2020.108072
https://doi.org/10.1016/j.diabres.2020.1...
).

In the age group of 75 years, for example, in the year 2020 in Brazil, 67% of the causes of death were due to NCDs in both men and women(55 World Health Organization (WHO). WHO Mortality Database: interactive platform visualizing mortality data [Internet]. 2022[cited 2022 Dec 19]. [Available from: https://platform.who.int/mortality/themes/theme-details/mdb/noncommunicable-diseases
https://platform.who.int/mortality/theme...
). Among these, diabetes mellitus and endocrine disorders were responsible for 6.3% of the causes of death, being higher in females(55 World Health Organization (WHO). WHO Mortality Database: interactive platform visualizing mortality data [Internet]. 2022[cited 2022 Dec 19]. [Available from: https://platform.who.int/mortality/themes/theme-details/mdb/noncommunicable-diseases
https://platform.who.int/mortality/theme...
). On the other hand, arterial hypertension promoted about 2.5% of the causes of death, also being higher in females. An important additional information presented by the World Health Organization (WHO) data platform is that, regardless of the age group, females were percentage-wise more affected by deaths due to diabetes mellitus, endocrine disorders, and arterial hypertension(55 World Health Organization (WHO). WHO Mortality Database: interactive platform visualizing mortality data [Internet]. 2022[cited 2022 Dec 19]. [Available from: https://platform.who.int/mortality/themes/theme-details/mdb/noncommunicable-diseases
https://platform.who.int/mortality/theme...
). However, the data from the WHO health platform is limited up to the age group of 75 years, not presenting data on prevalence, risk factors, and not being specific for the population of very old elderly individuals (age 80 years and over).

Knowing that understanding the prevalence can be important information for better intervention in this elderly population, elderly individuals with NCDs, for example, have a higher risk of developing comorbidities associated with aging, such as osteoporosis, chronic kidney disease, peripheral vascular disease, metabolic dysfunction, frailty, sarcopenia, reduced gastrointestinal motility, postural hypotension, vascular dementia, coronary artery disease, vascular calcification, stroke, and arterial hypertension(66 Palmer AK, Gustafson B, Kirkland JL, Smith U. Cellular senescence: at the nexus between ageing and diabetes. Diabetol. 2019;62(10):1835-41. https://doi.org/10.1007/s00125-019-4934-x.7
https://doi.org/10.1007/s00125-019-4934-...
-77 Bilen O, Wenger NK. Hypertension management in older adults. F1000Res. 2020;19(9)1003. https://doi.org/10.12688/f1000research.20323
https://doi.org/10.12688/f1000research.2...
).

In the United States, for instance, hypertension affects more than 75% of people aged 75 years or older(88 Duprez DA. Systolic hypertension in the elderly: addressing an unmet need. Am J Med. 2008;121(3):179-84. https://doi.org/10.1016/j.amjmed.2007.10.027
https://doi.org/10.1016/j.amjmed.2007.10...
). However, it is known that prevalence varies according to sex and age, with women being more affected (74.4%) than men (65.6%) in the age group over 70 years, regardless of whether the country is developed or underdeveloped(33 Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441-50. https://doi.org/10.1161/CIRCULATIONAHA.115.018912
https://doi.org/10.1161/CIRCULATIONAHA.1...
). Moreover, according to the Surveillance of Risk and Protective Factors for Chronic Diseases by Telephone Survey (from portuguese VIGITEL), in 2019, in the 27 cities of Brazil(99 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2019. Secretaria de Gestão Estratégica e Participativa. 2020. [cited 2022 Dec 19]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
-1010 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2021 [Internet]. 2021[cited 2022 Dec 19]. Available from: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/publicacoes-svs/vigitel/vigitel-brasil-2021-estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatores-de-risco-e-protecao-para-doencas-cronicas/
https://www.gov.br/saude/pt-br/centrais-...
), the frequency of medical diagnosis of hypertension was 52% for men and 61% for women, respectively, aged 65 years or older.

Considering the previously cited information, unfortunately, hypertension presents a common metabolic pathway with diabetes mellitus, occurring simultaneously and sharing the same risk factors(1111 Cheung BM, Li C. Diabetes and hypertension: is there a common metabolic pathway? Curr Atheroscler Rep. 2012;14(2):160-6. https://doi.org/10.1007/s11883-012-0227-2
https://doi.org/10.1007/s11883-012-0227-...
-1212 Bower JK, Appel LJ, Matsushita K, Young JH, Alonso A, Brancati FL, et al. Glycated hemoglobin and risk of hypertension in the atherosclerosis risk in communities study. Diabetes Care. 2012;35(5):1031-7. https://doi.org/10.2337/dc11-2248
https://doi.org/10.2337/dc11-2248...
). The coexistence of these two diseases in the same individual is not a coincidence, particularly in the presence of obesity and insulin resistance(1313 Petrie JR, Guzik TJ, Touyz RM. Diabetes, Hypertension, and Cardiovascular Disease: clinical insights and vascular mechanisms. Can J Cardiol. 2018;34(5):575-84. https://doi.org/10.1016/j.cjca.2017.12.005
https://doi.org/10.1016/j.cjca.2017.12.0...
).

It is concerning to consider the potential growth of diabetes mellitus associated with aging(1414 Bloomgarden Z, Ning G. Diabetes and aging. J Diabetes. 2013;5(4):369-71. https://doi.org/10.1111/1753-0407.12086
https://doi.org/10.1111/1753-0407.12086...
). Worldwide, in 2019, healthcare expenditures related to this disease were higher in the age groups of 60 to 69 years (177 billion dollars), followed by the age groups of 50 to 59 years (173 billion dollars) and 70 to 79 years (171 billion dollars)(44 Williams R, Karuranga S, Malanda B, Saeedi P, Basit A, Besancon S, et al. Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108072. https://doi.org/10.1016/j.diabres.2020.108072
https://doi.org/10.1016/j.diabres.2020.1...
). Furthermore, healthcare expenditures in 2019 were higher for females than for males, and the estimate of expenses will increase in the years 2030 and 2045(44 Williams R, Karuranga S, Malanda B, Saeedi P, Basit A, Besancon S, et al. Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108072. https://doi.org/10.1016/j.diabres.2020.108072
https://doi.org/10.1016/j.diabres.2020.1...
).

Risk factors such as age and obesity, both associated with an increase in the quantity of senescent cells caused by chronic, systemic, and low-level inflammation, fibrosis, and organelle dysfunction (lipotoxicity, mitochondrial, and autophagy), are responsible for the development of diabetes and its complications(66 Palmer AK, Gustafson B, Kirkland JL, Smith U. Cellular senescence: at the nexus between ageing and diabetes. Diabetol. 2019;62(10):1835-41. https://doi.org/10.1007/s00125-019-4934-x.7
https://doi.org/10.1007/s00125-019-4934-...
). For diabetes mellitus, according to VIGITEL(99 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2019. Secretaria de Gestão Estratégica e Participativa. 2020. [cited 2022 Dec 19]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
-1010 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2021 [Internet]. 2021[cited 2022 Dec 19]. Available from: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/publicacoes-svs/vigitel/vigitel-brasil-2021-estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatores-de-risco-e-protecao-para-doencas-cronicas/
https://www.gov.br/saude/pt-br/centrais-...
), in 2019, the frequency of medical diagnosis was 24% for men and 22% for women, respectively, aged 65 years or older in Brazil(99 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2019. Secretaria de Gestão Estratégica e Participativa. 2020. [cited 2022 Dec 19]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
-1010 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2021 [Internet]. 2021[cited 2022 Dec 19]. Available from: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/publicacoes-svs/vigitel/vigitel-brasil-2021-estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatores-de-risco-e-protecao-para-doencas-cronicas/
https://www.gov.br/saude/pt-br/centrais-...
).

Therefore, given that hypertension and diabetes mellitus are risk factors for congestive heart failure and stroke(1313 Petrie JR, Guzik TJ, Touyz RM. Diabetes, Hypertension, and Cardiovascular Disease: clinical insights and vascular mechanisms. Can J Cardiol. 2018;34(5):575-84. https://doi.org/10.1016/j.cjca.2017.12.005
https://doi.org/10.1016/j.cjca.2017.12.0...
,1515 Kjeldsen SE, Stenehjem A, Os I, Van de Borne P, Burnier M, Narkiewicz K, et al. Treatment of high blood pressure in elderly and octogenarians: European Society of Hypertension statement on blood pressure targets. Blood Press. 2016;25(6):333-6. https://doi.org/10.1080/08037051.2016.1236329
https://doi.org/10.1080/08037051.2016.12...
) and represent about 2.5% to 6.3% of the causes of death in older adults aged over 75 years(55 World Health Organization (WHO). WHO Mortality Database: interactive platform visualizing mortality data [Internet]. 2022[cited 2022 Dec 19]. [Available from: https://platform.who.int/mortality/themes/theme-details/mdb/noncommunicable-diseases
https://platform.who.int/mortality/theme...
), the identification of the prevalence and its risk factors in long-lived elderly people is crucial, especially since the percentage of deaths due to NCDs is higher in females. Risk factors for NCDs are generally classified into two groups: modifiable behavioral risk factors and metabolic risk factors(1616 World Health Organization (WHO). World health statistics 2022: monitoring health for the SDGs, sustainable development goals [Internet]. 2022[cited 2022 Dec 19]. Available from: https://www.who.int/publications/i/item/9789240051157
https://www.who.int/publications/i/item/...
). The first group includes harmful use of alcohol, tobacco, physical inactivity, sedentary behavior(1717 Bertuol C, Tozetto WR, Streb AR, Del Duca GF. Combined relationship of physical inactivity and sedentary behaviour with the prevalence of noncommunicable chronic diseases: data from 52,675 Brazilian adults and elderly. Eur J Sport Sci. 2022;22(4):617-26. https://doi.org/10.1080/17461391.2021.1880646
https://doi.org/10.1080/17461391.2021.18...
), and an unhealthy diet. Metabolic risk factors include increased blood pressure, overweight, obesity, hyperglycemia, and hyperlipidemia(1616 World Health Organization (WHO). World health statistics 2022: monitoring health for the SDGs, sustainable development goals [Internet]. 2022[cited 2022 Dec 19]. Available from: https://www.who.int/publications/i/item/9789240051157
https://www.who.int/publications/i/item/...
).

Moreover, excess weight, which represents an important risk factor for diabetes mellitus, hypertension, and polypharmacy(66 Palmer AK, Gustafson B, Kirkland JL, Smith U. Cellular senescence: at the nexus between ageing and diabetes. Diabetol. 2019;62(10):1835-41. https://doi.org/10.1007/s00125-019-4934-x.7
https://doi.org/10.1007/s00125-019-4934-...
,1818 Silva AA, Carmo J, Dubinion J, Hall JE. The role of the sympathetic nervous system in obesity-related hypertension. Curr Hypertens Rep. 2009;11(3):206-11. https://doi.org/10.1007/s11906-009-0036-3
https://doi.org/10.1007/s11906-009-0036-...

19 Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006;444(7121):840-6. https://doi.org/10.1038/nature05482
https://doi.org/10.1038/nature05482...
-2020 Counterweight Project T. The impact of obesity on drug prescribing in primary care. Br J Gen Pract [Internet]. 2005[cited 2022 Dec 19];55(519):743-9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1562331/
https://www.ncbi.nlm.nih.gov/pmc/article...
), affects more than 50% of older adults aged 65 years or older in Brazil(99 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2019. Secretaria de Gestão Estratégica e Participativa. 2020. [cited 2022 Dec 19]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
-1010 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2021 [Internet]. 2021[cited 2022 Dec 19]. Available from: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/publicacoes-svs/vigitel/vigitel-brasil-2021-estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatores-de-risco-e-protecao-para-doencas-cronicas/
https://www.gov.br/saude/pt-br/centrais-...
). Considering that the prevalence of polypharmacy is higher in obese older adults compared to non-obese older adults and that the number of medications used is higher in older adults with a history of falls and low muscle quality(2020 Counterweight Project T. The impact of obesity on drug prescribing in primary care. Br J Gen Pract [Internet]. 2005[cited 2022 Dec 19];55(519):743-9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1562331/
https://www.ncbi.nlm.nih.gov/pmc/article...

21 Amorim DNP, Nascimento DC, Stone W, Alves VP, Moraes CF, Vilaca ESKHC. Muscle Quality Is Associated with History of Falls in Octogenarians. J Nutr Health Aging. 2021;25(1):120-5. https://doi.org/10.1007/s12603-020-1485-2
https://doi.org/10.1007/s12603-020-1485-...
-2222 Amorim DNP, Nascimento DDC, Stone W, Alves VP, Vilaca ESKHC. Body composition and functional performance of older adults. Osteoporos Sarcopenia. 2022;8(2):86-91. https://doi.org/10.1016/j.afos.2022.04.002
https://doi.org/10.1016/j.afos.2022.04.0...
), the relevance of analyzing these issues is justified not only to ensure good living conditions for individuals but also because long-lived elderly people represent a particular challenge in gerontology, as this population, by 2050, will reach impressive numbers of 434 million, tripling the quantity compared to 2015(11 United Nations (UN). Departmennt of Economic and Social Affairs, Population Division. World Population Prospects 2022 [Internet]. 2022[cited 2022 Dec 19]. Available from: https://population.un.org/wpp/Graphs/DemographicProfiles/Pyramid/76
https://population.un.org/wpp/Graphs/Dem...
-22 United Nations (UN). World population ageing 2015[Internet]. 2017[cited 2022 Dec 19]. Available from: https://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2015_Report.pdf
https://www.un.org/en/development/desa/p...
).

To date, long-lived elderly people are underrepresented in epidemiological studies, and in Brazil, there are few initiatives to understand the prevalence and risk factors associated with NCDs in this specific population.

OBJECTIVE

To assess the prevalence of non-communicable chronic diseases, arterial hypertension, diabetes mellitus, and associated risk factors in long-lived elderly individuals from three Brazilian regions: Taguatinga (DF), Passo Fundo (RS), and Campinas (SP).

METHODS

Ethical aspects

Ethical aspects were observed according to Resolution No. 466 of December 12, 2012, of the National Research Council, which defines regulatory norms for research involving human beings. The study was conducted in accordance with national and international ethical guidelines and was approved by the Research Ethics Committee of each university that hosted the investigation: Universidade de Passo Fundo - UPF (Opinion No. 2.097.27/2017), Universidade Católica de Brasília - UCB (Opinion No. 1.290.368/2015), and Universidade Estadual de Campinas - UNICAMP (Opinion No. 3.061.534/2018), whose opinions are attached to this submission. This study was conducted in accordance with the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) manual for observational studies in epidemiology(2525 von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008;61(4):344-9. https://doi.org/10.1016/j.ijsu.2014.07.013
https://doi.org/10.1016/j.ijsu.2014.07.0...
). Informed consent was obtained from all individuals involved in the study through written means.

Design, period, and location of the study

This is an observational, cross-sectional, analytical, and quantitative study conducted with long-lived elderly individuals aged 80 years or older. This research derives from a multicenter study called “Patterns of Physical, Cognitive, and Psychosocial Aging in Long-Lived Elderly Individuals Living in Different Contexts” (PROCAD), conducted from January 2016 to December 2018. The Gerontology Postgraduate Programs of the UNICAMP, São Paulo, Universidade Católica de Brasília, Distrito Federal, and the Universidade de Passo Fundo, Rio Grande do Sul, participated in this interinstitutional cooperation.

Sample, inclusion and exclusion criteria

The sample was obtained from the electronic database of the PROCAD study, which included elderly individuals aged 80 years or older recruited from family households, long-term care institutions, and geriatric clinics in three Brazilian regions: Taguatinga (DF) with 196 elderly individuals, Passo Fundo (RS) with 272 elderly individuals, and Campinas (SP) with 232 elderly individuals. Men and women aged 80 years or older who did not have auditory and/or visual deficits and who were capable of comprehending and fully responding to the applied questionnaires and instruments were included in the study. To evaluate the comprehension and understanding of the questionnaires, the elderly individuals should have presented adequate levels of temporal orientation, spatial orientation, immediate memory, command, and reading ability assessed by the Mini-Mental State Examination (MMSE)(2626 Brucki SM, Nitrini R, Caramelli P, Bertolucci PH, Okamoto IH. Suggestions for utilization of the mini-mental state examination in Brazil. Arq Neuropsiquiatr. 2003;61(3B):777-81. https://doi.org/10.1590/s0004-282x2003000500014
https://doi.org/10.1590/s0004-282x200300...
-2727 Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189-98. https://doi.org/10.1016/0022-3956(75)90026-6
https://doi.org/10.1016/0022-3956(75)900...
).

On the other hand, elderly individuals classified with cognitive deficits by the MMSE(2626 Brucki SM, Nitrini R, Caramelli P, Bertolucci PH, Okamoto IH. Suggestions for utilization of the mini-mental state examination in Brazil. Arq Neuropsiquiatr. 2003;61(3B):777-81. https://doi.org/10.1590/s0004-282x2003000500014
https://doi.org/10.1590/s0004-282x200300...
-2727 Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189-98. https://doi.org/10.1016/0022-3956(75)90026-6
https://doi.org/10.1016/0022-3956(75)900...
), those who presented inability to maintain orthostatism with or without assistance, those with physical disabilities that prevented independent walking, such as lower limb amputations, self-reported diagnosis of stroke, depression (under treatment), vestibular or neurodegenerative diseases such as Alzheimer’s or other dementias, Parkinson’s disease, and any other disease that impaired the elderly’s mobility were excluded. A total of 19 elderly individuals were excluded in Campinas, 18 in Passo Fundo, and 14 in Taguatinga. After a subsequent analysis of the database containing the information of these participants, all those who presented incomplete records of the variables necessary for this research were excluded.

Study protocol

Sociodemographic and clinical variables were evaluated through a face-to-face interview, using a questionnaire subdivided into blocks, composed of NCDs - heart disease, lung disease, systemic arterial hypertension (SAH), stroke, diabetes mellitus (DM), cancer, osteoporosis, osteoarthritis, and polypharmacy (considering the use of 5 or more medications)(2828 Midao L, Giardini A, Menditto E, Kardas P, Costa E. Polypharmacy prevalence among older adults based on the survey of health, ageing and retirement in Europe. Arch Gerontol Geriatr. 2018;78:213-20. https://doi.org/10.1016/j.archger.2018.06.018
https://doi.org/10.1016/j.archger.2018.0...
-2929 Slater N, White S, Venables R, Frisher M. Factors associated with polypharmacy in primary care: a cross-sectional analysis of data from The English Longitudinal Study of Ageing (ELSA). BMJ Open. 2018;8(3):e020270. https://doi.org/10.1136/bmjopen-2017-020270
https://doi.org/10.1136/bmjopen-2017-020...
). The questionnaires used were adapted by the researchers for collecting basic identification information. In addition, questions related to pre-existing disease diagnosis and number of medications evaluated by the geriatrician were collected, according to the information provided by the elderly individuals or their caregivers.

The anthropometric evaluation consisted of measuring body mass, height, body mass index (BMI), and waist circumference (WC). The elderly participants were weighed and measured using a digital electronic scale with a stadiometer and a capacity of 300 kg (Welmy® W300 brand). Height was measured after the oldest participant took a deep breath and stood completely erect. BMI was calculated as the ratio of body mass (kg) to height squared (m2) and classified according to the Ministry of Health recommendations for the elderly: underweight (BMI < 22 kg/m2), normal weight (BMI 22 kg/m2 - 27 kg/m2), and overweight (BMI > 27 kg/m2)(3030 Lipschitz DA. Screening for nutritional status in the elderly. Prim Care. 1994;21(1):55-67. https://doi.org/10.1016/S0095-4543(21)00452-8
https://doi.org/10.1016/S0095-4543(21)00...
). WC was measured with an inelastic measuring tape, using as reference the midpoint between the iliac crest and the last rib. The cut-off points for cardiovascular risk in women were ≥ 88 cm, and for men were ≥ 102 cm(3131 World Health Organization (WHO). Obesity: preventing and managing the global epidemic. report of a WHO consultation. WHO Consultation on Obesity (WHO). 1999;894:1-253. Available from: https://apps.who.int/iris/handle/10665/42330
https://apps.who.int/iris/handle/10665/4...
).

Data analysis and statistics

Descriptive analysis included calculating frequency distributions and measures of central tendency and dispersion. Bivariate analysis was performed using the Chi-square test/Fisher’s exact test, with NCDs (heart disease, hypertension, stroke, and type 2 diabetes mellitus) as the dependent variable and socioeconomic factors (gender, age group, education, and income), polypharmacy use, and nutritional status (BMI and WC classification) as the explanatory variables. Predictive variables with p-values less than 20% were entered into the multivariate Poisson regression model with robust variance using the backward method, and the least significant variables (with the highest p-value) were removed one by one until all variables in the model had statistical significance (p < 0.05). The Hosmer & Lemeshow test was used to verify the fit of the final model.

The prevalence ratio (PR) with a 95% confidence interval (CI 95%) was used as the effect measure. It is noteworthy that since no explanatory variable had a p-value less than 20% in the bivariate analysis to analyze the factors associated with heart disease and stroke, no multivariate regression models were performed for these two diseases. Multivariate regression models were only performed for hypertension and type 2 diabetes mellitus. Data were analyzed using Stata version 11.0 software. For all analyses, a significance level of p ≤ 0.05 was adopted.

RESULTS

Sample characterization

A total of 700 elderly individuals were evaluated, with a mean age of 85.7 ± 4.8 years and 72.9% of them were female. It was observed that the majority of the elderly had up to 4 years of education (72.4%) (Table 1). The prevalence of overweight was 37.2% and 58.1% had risk of metabolic complications according to WC classification. The prevalence of hypertension, stroke, and type 2 diabetes mellitus was 13.3% and 25.9%, respectively (Table 1).

Table 1
Sample characterization

Prevalence of NCDs

Bivariate analysis (Table 2) revealed higher prevalence of hypertension among those who use polypharmacy (75.7% vs. 58.4%, p < 0.001), those who are overweight according to BMI classification (78.2% vs. 57.8% underweight and 66.8% normal weight), and those who have a risk of metabolic complications according to WC classification (73.8% vs. 61.2%, p = 0.002).

Table 2
Prevalence of heart disease, hypertension, stroke, and type 2 diabetes mellitus according to sociodemographic data, use of polypharmacy, and nutritional status of long-lived elderly individuals (N = 700)

In bivariate analysis (Table 2), higher prevalence of diabetes were observed among older adults in the younger age group (33.9% among those aged 80 to 84 years, 20.3% among those aged 85 to 89 years, and 16.5% among those aged 90 years or older, p < 0.001), those who use polypharmacy (33.0% vs. 15.8%, p < 0.001), and those who have a risk of metabolic complications according to WC classification (30.7% vs. 19.9%, p = 0.005).

Predictors of NCDs

According to the multivariate model (Table 3), the factors that presented independent association with arterial hypertension in elderly individuals were age group, polypharmacy, and BMI. The prevalence of hypertension was 22% (PR: 0.88; 95% CI: 0.78-0.99) and 29% (PR: 0.83; 95% CI: 0.71-0.97) lower among individuals aged 85 to 89 years and 90 years or older when compared to those aged 80 to 84 years; it was 38% higher among elderly individuals who use 5 or more medications (PR: 1.38; 95% CI: 1.23-1.55); and 17% higher among elderly individuals with overweight (PR: 1.17; 95% CI: 1.05-1.30) when compared to those with normal weight.

Table 3
Multiple model of association between selected variables and self-reported arterial hypertension in long-lived elderly individuals

According to the multivariate model (Table 4), the factors that presented independent association with type 2 diabetes mellitus in elderly individuals were sex, age group, and polypharmacy. The prevalence of diabetes was 24% (PR: 0.76; 95% CI: 0.59-0.98) lower among women when compared to men; it was 44% (PR: 0.56; 95% CI: 0.42-0.74) and 57% (PR: 0.43; 95% CI: 0.29-0.65) lower among individuals aged 85 to 89 years and 90 years or older when compared to those aged 80 to 84 years; and 2.15 times higher among elderly individuals who use 5 or more medications (PR: 2.15; 95% CI: 1.63-2.85).

Table 4
Multiple model of association between selected variables and type 2 diabetes mellitus in elderly individuals

DISCUSSION

The results of the present study demonstrated higher prevalence of arterial hypertension among those who use polypharmacy, among the elderly aged 80-84 years, and higher prevalence among those who presented overweight and risk of metabolic complications according to the WC classification. In addition, the risk factors that presented independent association with arterial hypertension were age group, polypharmacy, and BMI.

For type 2 diabetes mellitus, higher prevalence was observed among elderly people aged 80-84 years, those who used polypharmacy, and those who presented risk of metabolic complications according to the WC classification. The prevalence of type 2 diabetes mellitus was 24% lower among women when compared to men and 2.15 times higher among those who use 5 or more medications. Finally, the risk factors that presented independent association with type 2 diabetes mellitus were gender, age group, and polypharmacy.

The higher prevalence of arterial hypertension and type 2 diabetes mellitus demonstrated in the present study corroborates with the results of the literature(33 Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441-50. https://doi.org/10.1161/CIRCULATIONAHA.115.018912
https://doi.org/10.1161/CIRCULATIONAHA.1...
-44 Williams R, Karuranga S, Malanda B, Saeedi P, Basit A, Besancon S, et al. Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108072. https://doi.org/10.1016/j.diabres.2020.108072
https://doi.org/10.1016/j.diabres.2020.1...
,1717 Bertuol C, Tozetto WR, Streb AR, Del Duca GF. Combined relationship of physical inactivity and sedentary behaviour with the prevalence of noncommunicable chronic diseases: data from 52,675 Brazilian adults and elderly. Eur J Sport Sci. 2022;22(4):617-26. https://doi.org/10.1080/17461391.2021.1880646
https://doi.org/10.1080/17461391.2021.18...
), being hypertension and diabetes commonly presented as the main comorbidities and positively correlated with advancing age(33 Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441-50. https://doi.org/10.1161/CIRCULATIONAHA.115.018912
https://doi.org/10.1161/CIRCULATIONAHA.1...
-44 Williams R, Karuranga S, Malanda B, Saeedi P, Basit A, Besancon S, et al. Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108072. https://doi.org/10.1016/j.diabres.2020.108072
https://doi.org/10.1016/j.diabres.2020.1...
,3232 Barreto SM, Passos VM, Firmo JO, Guerra HL, Vidigal PG, Lima-Costa MF. Hypertension and clustering of cardiovascular risk factors in a community in Southeast Brazil: the Bambui Health and Ageing Study. Arq Bras Cardiol. 2001;77(6):576-81. https://doi.org/10.1590/s0066-782x2001001200008
https://doi.org/10.1590/s0066-782x200100...
-3333 Salive ME. Multimorbidity in older adults. Epidemiol Rev. 2013;35:75-83. https://doi.org/10.1093/epirev/mxs009
https://doi.org/10.1093/epirev/mxs009...
). Despite this, for the long-lived elderly people of the present study, a higher prevalence of the diseases was not verified in the female sex as pointed out by previous studies(33 Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441-50. https://doi.org/10.1161/CIRCULATIONAHA.115.018912
https://doi.org/10.1161/CIRCULATIONAHA.1...
-44 Williams R, Karuranga S, Malanda B, Saeedi P, Basit A, Besancon S, et al. Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108072. https://doi.org/10.1016/j.diabres.2020.108072
https://doi.org/10.1016/j.diabres.2020.1...
).

Regarding the prevalence of diabetes mellitus in long-lived elderly people, a previous study(3434 Sun Y, Ni W, Yuan X, Chi H, Xu J. Prevalence, treatment, control of type 2 diabetes and the risk factors among elderly people in Shenzhen: results from the urban Chinese population. BMC Public Health. 2020;20(1):998. https://doi.org/10.1186/s12889-020-09045-1
https://doi.org/10.1186/s12889-020-09045...
) found results similar to the present study. Recently, the authors observed that the prevalence for type 2 diabetes mellitus increased with age and then decreased in participants over 80 years old when compared to younger elderly people (60 years; 25.5% versus 56.9%)(3434 Sun Y, Ni W, Yuan X, Chi H, Xu J. Prevalence, treatment, control of type 2 diabetes and the risk factors among elderly people in Shenzhen: results from the urban Chinese population. BMC Public Health. 2020;20(1):998. https://doi.org/10.1186/s12889-020-09045-1
https://doi.org/10.1186/s12889-020-09045...
). In addition, the higher prevalence of the disease in males compared to females found in the present study does not corroborate with the latest global statistical data(44 Williams R, Karuranga S, Malanda B, Saeedi P, Basit A, Besancon S, et al. Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108072. https://doi.org/10.1016/j.diabres.2020.108072
https://doi.org/10.1016/j.diabres.2020.1...
). However, according to VIGITEL, in the year 2019(99 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2019. Secretaria de Gestão Estratégica e Participativa. 2020. [cited 2022 Dec 19]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf
https://bvsms.saude.gov.br/bvs/publicaco...
-1010 Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2021 [Internet]. 2021[cited 2022 Dec 19]. Available from: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/publicacoes-svs/vigitel/vigitel-brasil-2021-estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatores-de-risco-e-protecao-para-doencas-cronicas/
https://www.gov.br/saude/pt-br/centrais-...
), men aged 65 years or older presented higher prevalence when compared to women, but there are no comparative data for long-lived elderly people. Therefore, it is important to understand that data on prevalence in long-lived elderly people are still scarce and inconclusive.

One of the possible hypotheses for the lower prevalence of diabetes mellitus in women is that they are more inclined to pay attention to symptoms and seek regular medical care compared to men, as well as being more involved in preventive activities and living a healthier lifestyle(3434 Sun Y, Ni W, Yuan X, Chi H, Xu J. Prevalence, treatment, control of type 2 diabetes and the risk factors among elderly people in Shenzhen: results from the urban Chinese population. BMC Public Health. 2020;20(1):998. https://doi.org/10.1186/s12889-020-09045-1
https://doi.org/10.1186/s12889-020-09045...
). In other words, they have a different attitude towards diseases and the concept of health(3535 Flores LM, Mengue, SS. Uso de medicamentos por idosos em região do sul do Brasil. Rev Saúde Pública. 2005;39(6):924-9. https://doi.org/10.1590/S0034-89102005000600009
https://doi.org/10.1590/S0034-8910200500...
-3636 Bardel A, Wallander MA, Svardsudd K. Reported current use of prescription drugs and some of its determinants among 35 to 65-year-old women in mid-Sweden: a population-based study. J Clin Epidemiol. 2000;53(6):637-43. https://doi.org/10.1016/s0895-4356(99)00228-0
https://doi.org/10.1016/s0895-4356(99)00...
). However, a previous study showed no association between sex and the prevalence of diabetes and hypertension in Brazilian elderly individuals(3737 Francisco P, Segri NJ, Borim FSA, Malta DC. Prevalence of concomitant hypertension and diabetes in Brazilian older adults: individual and contextual inequalities. Cien Saude Colet. 2018;23(11):3829-40. https://doi.org/10.1590/1413-812320182311.29662016
https://doi.org/10.1590/1413-81232018231...
).

However, a risk factor that accompanies these NCDs is polypharmacy(3838 Pazan F, Wehling M. Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences. Eur Geriatr Med. 2021;12(3):443-52. https://doi.org/10.1007/s41999-021-00479-3
https://doi.org/10.1007/s41999-021-00479...
). Although the definition of polypharmacy varies in the literature in relation to the number of medications used(2323 Kim J, Parish AL. Polypharmacy and Medication Management in Older Adults. Nurs Clin North Am. 2017;52(3):457-68. https://doi.org/10.1016/j.cnur.2017.04.007
https://doi.org/10.1016/j.cnur.2017.04.0...
,3838 Pazan F, Wehling M. Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences. Eur Geriatr Med. 2021;12(3):443-52. https://doi.org/10.1007/s41999-021-00479-3
https://doi.org/10.1007/s41999-021-00479...
), an increase in medication use is demonstrated according to age group. Being 36% for participants aged 75 to 84 and 46% for participants aged 85 or more(2828 Midao L, Giardini A, Menditto E, Kardas P, Costa E. Polypharmacy prevalence among older adults based on the survey of health, ageing and retirement in Europe. Arch Gerontol Geriatr. 2018;78:213-20. https://doi.org/10.1016/j.archger.2018.06.018
https://doi.org/10.1016/j.archger.2018.0...
). However, this data is worrisome, especially for the long-lived elderly population in this study, as the age group of 85 years or more, presence of six or more chronic health conditions, low body weight and BMI, and frailty should be taken into account as they represent important risk factors for adverse drug events such as falls, hospitalization, sedation, depression, and mortality(2323 Kim J, Parish AL. Polypharmacy and Medication Management in Older Adults. Nurs Clin North Am. 2017;52(3):457-68. https://doi.org/10.1016/j.cnur.2017.04.007
https://doi.org/10.1016/j.cnur.2017.04.0...
,3838 Pazan F, Wehling M. Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences. Eur Geriatr Med. 2021;12(3):443-52. https://doi.org/10.1007/s41999-021-00479-3
https://doi.org/10.1007/s41999-021-00479...
).

Furthermore, long-lived elderly individuals who have already been affected by a disease often use medications for treatments associated with dysfunctions in different bodily systems, such as the nervous and gastrointestinal systems, for example (e.g. hypnotics, sedatives, anxiolytics, antipsychotics, and anti-ulcer agents)(2323 Kim J, Parish AL. Polypharmacy and Medication Management in Older Adults. Nurs Clin North Am. 2017;52(3):457-68. https://doi.org/10.1016/j.cnur.2017.04.007
https://doi.org/10.1016/j.cnur.2017.04.0...
,3838 Pazan F, Wehling M. Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences. Eur Geriatr Med. 2021;12(3):443-52. https://doi.org/10.1007/s41999-021-00479-3
https://doi.org/10.1007/s41999-021-00479...
-3939 Oliveira MPFD, Novaes MRCG. Uso de medicamentos por idosos de instituições de longa permanência, Brasília-DF, Brasil. Rev Bras Enfer. 2012;65:737-44. https://doi.org/10.1590/S0034-71672012000500004
https://doi.org/10.1590/S0034-7167201200...
). This makes it understandable the association between a higher number of diagnoses of diseases or multiple diseases (not evaluated in this study) and polypharmacy(4040 Nobili A, Garattini S, Mannucci PM. Multiple diseases and polypharmacy in the elderly: challenges for the internist of the third millennium. J Comorb. 2011;1:28-44. https://doi.org/10.15256/joc.2011.1.4
https://doi.org/10.15256/joc.2011.1.4...
). Moreover, supporting data from previous studies, obesity, evaluated in this study and identified as a risk factor, using obesity indices easily applied in clinical practice (e.g. BMI and WC), is associated with increased medication use and may result in chronic diseases(66 Palmer AK, Gustafson B, Kirkland JL, Smith U. Cellular senescence: at the nexus between ageing and diabetes. Diabetol. 2019;62(10):1835-41. https://doi.org/10.1007/s00125-019-4934-x.7
https://doi.org/10.1007/s00125-019-4934-...
,2020 Counterweight Project T. The impact of obesity on drug prescribing in primary care. Br J Gen Pract [Internet]. 2005[cited 2022 Dec 19];55(519):743-9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1562331/
https://www.ncbi.nlm.nih.gov/pmc/article...
,3434 Sun Y, Ni W, Yuan X, Chi H, Xu J. Prevalence, treatment, control of type 2 diabetes and the risk factors among elderly people in Shenzhen: results from the urban Chinese population. BMC Public Health. 2020;20(1):998. https://doi.org/10.1186/s12889-020-09045-1
https://doi.org/10.1186/s12889-020-09045...
,4141 Rohm TV, Meier DT, Olefsky JM, Donath MY. Inflammation in obesity, diabetes, and related disorders. Immunity. 2022;55(1):31-55. https://doi.org/10.1016/j.immuni.2021.12.013
https://doi.org/10.1016/j.immuni.2021.12...
), especially with advancing age(2020 Counterweight Project T. The impact of obesity on drug prescribing in primary care. Br J Gen Pract [Internet]. 2005[cited 2022 Dec 19];55(519):743-9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1562331/
https://www.ncbi.nlm.nih.gov/pmc/article...
,3333 Salive ME. Multimorbidity in older adults. Epidemiol Rev. 2013;35:75-83. https://doi.org/10.1093/epirev/mxs009
https://doi.org/10.1093/epirev/mxs009...
,3737 Francisco P, Segri NJ, Borim FSA, Malta DC. Prevalence of concomitant hypertension and diabetes in Brazilian older adults: individual and contextual inequalities. Cien Saude Colet. 2018;23(11):3829-40. https://doi.org/10.1590/1413-812320182311.29662016
https://doi.org/10.1590/1413-81232018231...
,4242 Rieckert A, Trampisch US, Klaassen-Mielke R, Drewelow E, Esmail A, Johansson T, et al. Polypharmacy in older patients with chronic diseases: a cross-sectional analysis of factors associated with excessive polypharmacy. BMC Fam Pract. 2018;19(1):113. https://doi.org/10.1186/s12875-018-0795-5
https://doi.org/10.1186/s12875-018-0795-...
-4343 Zamboni M, Mazzali G, Zoico E, Harris TB, Meigs JB, Di Francesco V, et al. Health consequences of obesity in the elderly: a review of four unresolved questions. Int J Obes (Lond). 2005;29(9):1011-29. https://doi.org/10.1038/sj.ijo.0803005
https://doi.org/10.1038/sj.ijo.0803005...
).

Study limitations

Although the present study presents interesting and innovative results for the long-lived elderly people who participated in it, important limitations should be cited. Among them, variables such as demographic region, skin color/race, education, smoking, and physical inactivity should also be considered in subsequent analyses of the prevalence and risk of NCDs in long-lived elderly people(1717 Bertuol C, Tozetto WR, Streb AR, Del Duca GF. Combined relationship of physical inactivity and sedentary behaviour with the prevalence of noncommunicable chronic diseases: data from 52,675 Brazilian adults and elderly. Eur J Sport Sci. 2022;22(4):617-26. https://doi.org/10.1080/17461391.2021.1880646
https://doi.org/10.1080/17461391.2021.18...
,3737 Francisco P, Segri NJ, Borim FSA, Malta DC. Prevalence of concomitant hypertension and diabetes in Brazilian older adults: individual and contextual inequalities. Cien Saude Colet. 2018;23(11):3829-40. https://doi.org/10.1590/1413-812320182311.29662016
https://doi.org/10.1590/1413-81232018231...
), as they are related to diabetes and hypertension. In addition, the inclusion of elderly people from the community and long-term care institutions in the present study may represent an important bias in the prevalence and risk factors for NCDs in the results presented, as they may have distinct life and health profiles.

For example, in a previous study of institutionalized elderly people in the municipality of Passo Fundo, Rio Grande do Sul, the majority were female (63.2%), 48% were long-lived elderly people, 96.4% used medications, and 74% were in the institution because they needed care(4444 Lini EV, Doring M, Machado VLM, Portella MR. Idosos institucionalizados: prevalência de demências, características demográficas, clínicas e motivos da institucionalização. Rev Bras Ciênc Envelh Hum. 2014;11(3). https://doi.org/10.5335/rbceh.v11i3.4482
https://doi.org/10.5335/rbceh.v11i3.4482...
). Furthermore, our findings should be validated in longitudinal studies with large samples. Finally, the cross-sectional design of the study precludes the ability to infer any causal relationship.

Contributions to the nursing, health, and public policy areas

Our findings may contribute to directing the interprofessional evaluation of the elderly person, aiming for greater efficacy in the elaboration of care plans that aim at better evaluation of the critical factors that interfere with NCDs. Understanding the number of medications used, body weight gain, and specific gender characteristics enables the development of more targeted practices, treatments, and policies for professionals who work with different age groups of the elderly.

Considering the results obtained in the present epidemiological study, nurses should pay attention to the continued care of elderly individuals with less health, either due to the circumstances of their morbidity or due to the natural process of frailty in the face of greater longevity, providing means to help maintain their quality of life.

CONCLUSION

In the three Brazilian regions evaluated in this study (Taguatinga, Passo Fundo, and Campinas), higher prevalence of hypertension were found in elderly individuals aged 80-84 years. Additionally, the prevalence of diabetes was lower in women compared to men but higher among those who use more medications and in the age group of 80-84 years. Among the important risk factors for hypertension and diabetes mellitus, overweight and polypharmacy represented two important variables in the sample of long-lived elderly individuals in the present study.

DATA AND MATERIAL AVAILABILITY

https://doi.org/10.48331/scielodata.LUGU4D

REFERENCES

  • 1
    United Nations (UN). Departmennt of Economic and Social Affairs, Population Division. World Population Prospects 2022 [Internet]. 2022[cited 2022 Dec 19]. Available from: https://population.un.org/wpp/Graphs/DemographicProfiles/Pyramid/76
    » https://population.un.org/wpp/Graphs/DemographicProfiles/Pyramid/76
  • 2
    United Nations (UN). World population ageing 2015[Internet]. 2017[cited 2022 Dec 19]. Available from: https://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2015_Report.pdf
    » https://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2015_Report.pdf
  • 3
    Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441-50. https://doi.org/10.1161/CIRCULATIONAHA.115.018912
    » https://doi.org/10.1161/CIRCULATIONAHA.115.018912
  • 4
    Williams R, Karuranga S, Malanda B, Saeedi P, Basit A, Besancon S, et al. Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas. 9th ed. Diabetes Res Clin Pract. 2020;162:108072. https://doi.org/10.1016/j.diabres.2020.108072
    » https://doi.org/10.1016/j.diabres.2020.108072
  • 5
    World Health Organization (WHO). WHO Mortality Database: interactive platform visualizing mortality data [Internet]. 2022[cited 2022 Dec 19]. [Available from: https://platform.who.int/mortality/themes/theme-details/mdb/noncommunicable-diseases
    » https://platform.who.int/mortality/themes/theme-details/mdb/noncommunicable-diseases
  • 6
    Palmer AK, Gustafson B, Kirkland JL, Smith U. Cellular senescence: at the nexus between ageing and diabetes. Diabetol. 2019;62(10):1835-41. https://doi.org/10.1007/s00125-019-4934-x.7
    » https://doi.org/10.1007/s00125-019-4934-x.7
  • 7
    Bilen O, Wenger NK. Hypertension management in older adults. F1000Res. 2020;19(9)1003. https://doi.org/10.12688/f1000research.20323
    » https://doi.org/10.12688/f1000research.20323
  • 8
    Duprez DA. Systolic hypertension in the elderly: addressing an unmet need. Am J Med. 2008;121(3):179-84. https://doi.org/10.1016/j.amjmed.2007.10.027
    » https://doi.org/10.1016/j.amjmed.2007.10.027
  • 9
    Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2019. Secretaria de Gestão Estratégica e Participativa. 2020. [cited 2022 Dec 19]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf
    » https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf
  • 10
    Ministério da Saúde (BR). Vigitel Brasil. Estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no distrito federal em 2021 [Internet]. 2021[cited 2022 Dec 19]. Available from: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/publicacoes-svs/vigitel/vigitel-brasil-2021-estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatores-de-risco-e-protecao-para-doencas-cronicas/
    » https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/publicacoes-svs/vigitel/vigitel-brasil-2021-estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatores-de-risco-e-protecao-para-doencas-cronicas/
  • 11
    Cheung BM, Li C. Diabetes and hypertension: is there a common metabolic pathway? Curr Atheroscler Rep. 2012;14(2):160-6. https://doi.org/10.1007/s11883-012-0227-2
    » https://doi.org/10.1007/s11883-012-0227-2
  • 12
    Bower JK, Appel LJ, Matsushita K, Young JH, Alonso A, Brancati FL, et al. Glycated hemoglobin and risk of hypertension in the atherosclerosis risk in communities study. Diabetes Care. 2012;35(5):1031-7. https://doi.org/10.2337/dc11-2248
    » https://doi.org/10.2337/dc11-2248
  • 13
    Petrie JR, Guzik TJ, Touyz RM. Diabetes, Hypertension, and Cardiovascular Disease: clinical insights and vascular mechanisms. Can J Cardiol. 2018;34(5):575-84. https://doi.org/10.1016/j.cjca.2017.12.005
    » https://doi.org/10.1016/j.cjca.2017.12.005
  • 14
    Bloomgarden Z, Ning G. Diabetes and aging. J Diabetes. 2013;5(4):369-71. https://doi.org/10.1111/1753-0407.12086
    » https://doi.org/10.1111/1753-0407.12086
  • 15
    Kjeldsen SE, Stenehjem A, Os I, Van de Borne P, Burnier M, Narkiewicz K, et al. Treatment of high blood pressure in elderly and octogenarians: European Society of Hypertension statement on blood pressure targets. Blood Press. 2016;25(6):333-6. https://doi.org/10.1080/08037051.2016.1236329
    » https://doi.org/10.1080/08037051.2016.1236329
  • 16
    World Health Organization (WHO). World health statistics 2022: monitoring health for the SDGs, sustainable development goals [Internet]. 2022[cited 2022 Dec 19]. Available from: https://www.who.int/publications/i/item/9789240051157
    » https://www.who.int/publications/i/item/9789240051157
  • 17
    Bertuol C, Tozetto WR, Streb AR, Del Duca GF. Combined relationship of physical inactivity and sedentary behaviour with the prevalence of noncommunicable chronic diseases: data from 52,675 Brazilian adults and elderly. Eur J Sport Sci. 2022;22(4):617-26. https://doi.org/10.1080/17461391.2021.1880646
    » https://doi.org/10.1080/17461391.2021.1880646
  • 18
    Silva AA, Carmo J, Dubinion J, Hall JE. The role of the sympathetic nervous system in obesity-related hypertension. Curr Hypertens Rep. 2009;11(3):206-11. https://doi.org/10.1007/s11906-009-0036-3
    » https://doi.org/10.1007/s11906-009-0036-3
  • 19
    Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006;444(7121):840-6. https://doi.org/10.1038/nature05482
    » https://doi.org/10.1038/nature05482
  • 20
    Counterweight Project T. The impact of obesity on drug prescribing in primary care. Br J Gen Pract [Internet]. 2005[cited 2022 Dec 19];55(519):743-9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1562331/
    » https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1562331/
  • 21
    Amorim DNP, Nascimento DC, Stone W, Alves VP, Moraes CF, Vilaca ESKHC. Muscle Quality Is Associated with History of Falls in Octogenarians. J Nutr Health Aging. 2021;25(1):120-5. https://doi.org/10.1007/s12603-020-1485-2
    » https://doi.org/10.1007/s12603-020-1485-2
  • 22
    Amorim DNP, Nascimento DDC, Stone W, Alves VP, Vilaca ESKHC. Body composition and functional performance of older adults. Osteoporos Sarcopenia. 2022;8(2):86-91. https://doi.org/10.1016/j.afos.2022.04.002
    » https://doi.org/10.1016/j.afos.2022.04.002
  • 23
    Kim J, Parish AL. Polypharmacy and Medication Management in Older Adults. Nurs Clin North Am. 2017;52(3):457-68. https://doi.org/10.1016/j.cnur.2017.04.007
    » https://doi.org/10.1016/j.cnur.2017.04.007
  • 24
    Carrapato P, Correia P, Garcia B. Determinante da saúde no Brasil: a procura da equidade na saúde. Saude Soc. 2017;26(3):676-89. https://doi.org/10.1590/S0104-12902017170304
    » https://doi.org/10.1590/S0104-12902017170304
  • 25
    von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008;61(4):344-9. https://doi.org/10.1016/j.ijsu.2014.07.013
    » https://doi.org/10.1016/j.ijsu.2014.07.013
  • 26
    Brucki SM, Nitrini R, Caramelli P, Bertolucci PH, Okamoto IH. Suggestions for utilization of the mini-mental state examination in Brazil. Arq Neuropsiquiatr. 2003;61(3B):777-81. https://doi.org/10.1590/s0004-282x2003000500014
    » https://doi.org/10.1590/s0004-282x2003000500014
  • 27
    Folstein MF, Folstein SE, McHugh PR. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189-98. https://doi.org/10.1016/0022-3956(75)90026-6
    » https://doi.org/10.1016/0022-3956(75)90026-6
  • 28
    Midao L, Giardini A, Menditto E, Kardas P, Costa E. Polypharmacy prevalence among older adults based on the survey of health, ageing and retirement in Europe. Arch Gerontol Geriatr. 2018;78:213-20. https://doi.org/10.1016/j.archger.2018.06.018
    » https://doi.org/10.1016/j.archger.2018.06.018
  • 29
    Slater N, White S, Venables R, Frisher M. Factors associated with polypharmacy in primary care: a cross-sectional analysis of data from The English Longitudinal Study of Ageing (ELSA). BMJ Open. 2018;8(3):e020270. https://doi.org/10.1136/bmjopen-2017-020270
    » https://doi.org/10.1136/bmjopen-2017-020270
  • 30
    Lipschitz DA. Screening for nutritional status in the elderly. Prim Care. 1994;21(1):55-67. https://doi.org/10.1016/S0095-4543(21)00452-8
    » https://doi.org/10.1016/S0095-4543(21)00452-8
  • 31
    World Health Organization (WHO). Obesity: preventing and managing the global epidemic. report of a WHO consultation. WHO Consultation on Obesity (WHO). 1999;894:1-253. Available from: https://apps.who.int/iris/handle/10665/42330
    » https://apps.who.int/iris/handle/10665/42330
  • 32
    Barreto SM, Passos VM, Firmo JO, Guerra HL, Vidigal PG, Lima-Costa MF. Hypertension and clustering of cardiovascular risk factors in a community in Southeast Brazil: the Bambui Health and Ageing Study. Arq Bras Cardiol. 2001;77(6):576-81. https://doi.org/10.1590/s0066-782x2001001200008
    » https://doi.org/10.1590/s0066-782x2001001200008
  • 33
    Salive ME. Multimorbidity in older adults. Epidemiol Rev. 2013;35:75-83. https://doi.org/10.1093/epirev/mxs009
    » https://doi.org/10.1093/epirev/mxs009
  • 34
    Sun Y, Ni W, Yuan X, Chi H, Xu J. Prevalence, treatment, control of type 2 diabetes and the risk factors among elderly people in Shenzhen: results from the urban Chinese population. BMC Public Health. 2020;20(1):998. https://doi.org/10.1186/s12889-020-09045-1
    » https://doi.org/10.1186/s12889-020-09045-1
  • 35
    Flores LM, Mengue, SS. Uso de medicamentos por idosos em região do sul do Brasil. Rev Saúde Pública. 2005;39(6):924-9. https://doi.org/10.1590/S0034-89102005000600009
    » https://doi.org/10.1590/S0034-89102005000600009
  • 36
    Bardel A, Wallander MA, Svardsudd K. Reported current use of prescription drugs and some of its determinants among 35 to 65-year-old women in mid-Sweden: a population-based study. J Clin Epidemiol. 2000;53(6):637-43. https://doi.org/10.1016/s0895-4356(99)00228-0
    » https://doi.org/10.1016/s0895-4356(99)00228-0
  • 37
    Francisco P, Segri NJ, Borim FSA, Malta DC. Prevalence of concomitant hypertension and diabetes in Brazilian older adults: individual and contextual inequalities. Cien Saude Colet. 2018;23(11):3829-40. https://doi.org/10.1590/1413-812320182311.29662016
    » https://doi.org/10.1590/1413-812320182311.29662016
  • 38
    Pazan F, Wehling M. Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences. Eur Geriatr Med. 2021;12(3):443-52. https://doi.org/10.1007/s41999-021-00479-3
    » https://doi.org/10.1007/s41999-021-00479-3
  • 39
    Oliveira MPFD, Novaes MRCG. Uso de medicamentos por idosos de instituições de longa permanência, Brasília-DF, Brasil. Rev Bras Enfer. 2012;65:737-44. https://doi.org/10.1590/S0034-71672012000500004
    » https://doi.org/10.1590/S0034-71672012000500004
  • 40
    Nobili A, Garattini S, Mannucci PM. Multiple diseases and polypharmacy in the elderly: challenges for the internist of the third millennium. J Comorb. 2011;1:28-44. https://doi.org/10.15256/joc.2011.1.4
    » https://doi.org/10.15256/joc.2011.1.4
  • 41
    Rohm TV, Meier DT, Olefsky JM, Donath MY. Inflammation in obesity, diabetes, and related disorders. Immunity. 2022;55(1):31-55. https://doi.org/10.1016/j.immuni.2021.12.013
    » https://doi.org/10.1016/j.immuni.2021.12.013
  • 42
    Rieckert A, Trampisch US, Klaassen-Mielke R, Drewelow E, Esmail A, Johansson T, et al. Polypharmacy in older patients with chronic diseases: a cross-sectional analysis of factors associated with excessive polypharmacy. BMC Fam Pract. 2018;19(1):113. https://doi.org/10.1186/s12875-018-0795-5
    » https://doi.org/10.1186/s12875-018-0795-5
  • 43
    Zamboni M, Mazzali G, Zoico E, Harris TB, Meigs JB, Di Francesco V, et al. Health consequences of obesity in the elderly: a review of four unresolved questions. Int J Obes (Lond). 2005;29(9):1011-29. https://doi.org/10.1038/sj.ijo.0803005
    » https://doi.org/10.1038/sj.ijo.0803005
  • 44
    Lini EV, Doring M, Machado VLM, Portella MR. Idosos institucionalizados: prevalência de demências, características demográficas, clínicas e motivos da institucionalização. Rev Bras Ciênc Envelh Hum. 2014;11(3). https://doi.org/10.5335/rbceh.v11i3.4482
    » https://doi.org/10.5335/rbceh.v11i3.4482

Edited by

EDITOR IN CHIEF: Antonio José de Almeida Filho
ASSOCIATE EDITOR: Alexandre Balsanelli

Publication Dates

  • Publication in this collection
    09 Oct 2023
  • Date of issue
    2023

History

  • Received
    11 Aug 2022
  • Accepted
    27 Mar 2023
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