Síndrome metabólica em idosos de Nova Roma do Sul, RS: prevalência e fatores associados

H, Zoraski; Fiametti, Marilene; Santos, Ramison dos; Gregoletto, Maria Luísa de Oliveira; Cremonese, Cleber

doi:10.7322/abcshs.v42i3.955

Cited by 8 publications

(8 citation statements)

References 26 publications

(34 reference statements)

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“…Among the elderly population in regions of Brazil, prevalence varies from 18 to 64.1% [3][4][5] . Population aging has brought about an increase in the prevalence of MS in the global population 4 .…”

Section: Introductionmentioning

confidence: 99%

Profile of elderly persons with metabolic syndrome and factors associated with possible drug interactions

Tavares

Gomes

Rodriguês

et al. 2018

Rev. bras. geriatr. gerontol.

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Objectives: To describe the sociodemographic, clinical and pharmacotherapy characteristics of elderly persons with metabolic syndrome and to identify factors associated with drug interactions among these individuals. Method: A quantitative, analytical and transversal study was carried out among 263 elderly people with metabolic syndrome in the urban area of Uberaba, Minas Gerais, Brazil. Possible drug interactions were identified and classified according to the Micromedex® DrugReax System. The chi-squared test and the multiple logistic regression model were used for analysis ( p<0.05). Results: The majority of the individuals were female (70.7%); aged 60 to 74 years (72.3%); lived with a spouse/ partner (63.9%); had some schooling (74.1%); an individual monthly income of ≤ one minimum wage (77.1%); lived with others (88.2%); had five or more morbidities (89.7%) and exhibited polypharmacy (73.0%); used potentially inappropriate medications (54.4%) and had possible drug interactions (75.3%). Associated with the possible presence of drug interactions were: age range ( p=0.005), polypharmacy ( p<0.001) and use of potentially inappropriate medications ( p=0.006). Conclusion: Possible drug interactions were associated with increased age, polypharmacy and the use of potentially inappropriate medications. This study contributes to knowledge of these possible interactions among elderly people with metabolic syndrome, and as such can be considered an important tool for planning actions to ensure the safety of these individuals who, due to the complexity of their treatment, use multiple medications.

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Section: Introductionmentioning

confidence: 99%

Profile of elderly persons with metabolic syndrome and factors associated with possible drug interactions

Tavares

Gomes

Rodriguês

et al. 2018

Rev. bras. geriatr. gerontol.

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“…Neste estudo, foi possível verificar que o público feminino foi o mais predominante na população avaliada, sendo o mais participativo e com maior número de diagnósticos de Síndrome Metabólica. No estudo de Zoraski et al (2017), realizado em idosos de Nova Roma, Rio Grande do Sul, destacou-se maior participação do sexo feminino, correspondendo a 56% da população estudada. Ibiapina et al (2015) realizaram um estudo com idosos que frequentavam um centro de convivência no município de Teresina, Piauí, e observaram que o sexo feminino também era o mais participativo e com o maior número de diagnósticos de Síndrome Metabólica.…”

Section: Discussionunclassified

Análide da presença de síndrome metabólica em idosos atendidos no Projeto de Atendimento Multidisciplinar ao Idoso (AMI) em Campo Grande, MS

Silva

Souza

Gouveia³

et al. 2019

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A Síndrome Metabólica (SM) é constituída por vários fatores que compõem os critérios diagnósticos. Quanto mais fatores associados, maiores os riscos do desenvolvimento da SM e de doenças cardiovasculares. Hábito alimentar inadequado associado ao declínio da atividade física dos indivíduos contribui para o aumento da prevalência de obesidade, que também é considerada como um dos componentes da SM. O objetivo deste trabalho foi analisar a presença de Síndrome Metabólica em idosos atendidos no Projeto Atendimento Multidisciplinar ao Idoso (AMI) de Campo Grande, MS, conforme os critérios diagnósticos NCEP-ATP III, IDF e JIS. Trata-se de um estudo quantitativo, descritivo, transversal e retrospectivo, através de análise do prontuário. A prevalência de Síndrome Metabólica nos idosos participantes da pesquisa foi de 47,22% para os critérios NCEP-ATP III e IDF, e 50% para o critério JIS, mostrando-se mais sensível ao critério JIS.

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“…8 In this respect, the literature has a large number of studies attesting the relationship between MS and its prevalence in older adults. [8][9][10][11] A specific study revealed that by 2012 more than a third of the US adult population met the definition and criteria for MS. 12 Cardiovascular risk classification is a follow-up strategy and indicator of the quality of treatment implemented in individuals belonging to a high-risk group. The Framingham Risk Score (FRS) is one of the main cardiovascular risk stratification methods recommended by the Brazilian Ministry of Health.…”

Section: Introductionmentioning

confidence: 99%

<p>Impact of Metabolic Syndrome Components in High-Risk Cardiovascular Disease Development in Older Adults</p>

Barbalho

Stival

Lima

et al. 2020

CIA

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Objective: Analyze the influence between the components of metabolic syndrome and the independent risk for cardiovascular disease (CVD) in the elderly. Methods: A descriptive cross-sectional study was carried out with 205 older adults from a primary healthcare unit of the Federal District, Brazil. The cardiovascular risk was determined by the Framingham Risk Score (FRS). The National Cholesterol Evaluation Program for Adult Treatment Panel III 2001 (NCEP-ATP III) criteria were considered to analyze metabolic syndrome (MS) diagnoses. Results: There was a strong association between MS and high cardiovascular risk (OR = 8.86). The univariate analysis main findings revealed that male gender, diabetes, smoking habit, systolic blood pressure, HDL level, high blood glucose, glycated hemoglobin, and LDL level were associated with high cardiovascular risk. FRS increases significantly with the presence of four or more MS components (by 30%, if 4 components are present, and by 40%, if 5 components) when compared with the presence of three or fewer components (P <0.001). A logistic regression analysis of high-risk predictors was described to reduce the effects of confounding and bias factors. Conclusion: The identification of MS associated with high FRS values represents a cascading of adverse effects on the population's aging process.

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Síndrome metabólica em idosos de Nova Roma do Sul, RS: prevalência e fatores associados

Cited by 8 publications

References 26 publications

Profile of elderly persons with metabolic syndrome and factors associated with possible drug interactions

Profile of elderly persons with metabolic syndrome and factors associated with possible drug interactions

Análide da presença de síndrome metabólica em idosos atendidos no Projeto de Atendimento Multidisciplinar ao Idoso (AMI) em Campo Grande, MS

<p>Impact of Metabolic Syndrome Components in High-Risk Cardiovascular Disease Development in Older Adults</p>

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