Síndrome metabólico y actividad física en adultos mayores de la sierra ecuatoriana

Chimbo-Yunga, Jenny Maritza; Chuchuca-Cajamarca, Angela Jimena; Wong, Sara; Torres, Lorena Esperanza Encalada

doi:10.15446/rsap.v19n6.60503

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…However, study enrolled speci cally elderly, found that older adults with MetS presented the same level of physical activity as individuals without this diagnosis [27]. Similarly, data in our study exhibited no statistically signi cant relationship between physical activity and MetS among rural elderly.…”

Section: Discussionsupporting

confidence: 44%

Predictors of Cardiovascular Events in Elderly with Metabolic Syndrome from Rural Northeast China

Guo

et al. 2020

Preprint

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Background: Metabolic syndrome (MetS) had close relationship with cardiovascular events (CVEs). In the present study, among elderly with MetS, we intend to estimate the possible predictors of CVEs in order to prevent cardiovascular complications; among elderly without MetS, we aim to evaluate the possible risk factors for developing MetS in order to control it more effectively. Methods: In total 2869 elderly from rural China were enrolled. They took part in a physical examination and completed a questionnaire during 2012-2013 and were followed up during 2015-2017. Cox proportional hazards analysis was conducted to assess the possible predictors of CVEs and multivariate analysis was used to estimate the risk factors of newly diagnosed MetS. Results: Over a median follow-up of 4.66 years, 128 nonfatal or fatal cardiovascular events were documented and the cumulative incidence of MetS was 28.7% (36.3% for female; 24.3% for male). Cox proportional hazards analysis showed that family history of hypertension [Hazard ratio (HR): 1.694], current smoking (HR: 1.518), per 1 unit increase of systolic blood pressure (SBP) (HR: 1.016), and HDL-C (HR: 0.365) were strong predictors of newly onset CVEs among elderly with MetS at baseline. As for newly diagnosed MetS, male [Odd ratio (OR): 0.390] and proper sleep duration (8-9 hours/day) (OR: 0.580) served as protective factors. Furthermore, SBP (OR: 1.013), body mass index (OR: 1.178) and all lipid profiles were also associated factors of newly diagnosed MetS among elderly. Conclusions: Current smoking and relatively higher value of SBP, and HDL-C at baseline were correlated with higher possibility to have CVEs among elderly with MetS. In order not to develop MetS, elderly should pay more attention to metabolic parameters and have proper sleep duration.

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Section: Discussionsupporting

confidence: 44%

Predictors of Cardiovascular Events in Elderly with Metabolic Syndrome from Rural Northeast China

Guo

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore they claimed that there was need for prevention strategies involving promotion of physical activity. However, study enrolled speci cally elderly, found that older adults with MetS presented the same level of physical activity as individuals without this diagnosis [27]. Similarly, data in our study exhibited no statistically signi cant relationship between physical activity and MetS among rural elderly.…”

Section: Discussionsupporting

confidence: 44%

Predictors of cardiovascular events in elderly with metabolic syndrome from rural Northeast China

Yu¹,

Guo²,

Li³

et al. 2020

Preprint

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Background Metabolic syndrome (MetS) had close relationship with cardiovascular events (CVEs). In the present study, among elderly with MetS, we intend to estimate the possible predictors of CVEs in order to prevent cardiovascular complications; among elderly without MetS, we aim to evaluate the possible risk factors for developing MetS in order to control it more effectively. Methods In total 2869 elderly from rural China were enrolled. They took part in a physical examination and completed a questionnaire during 2012–2013 and were followed up during 2015–2017. Cox proportional hazards analysis was conducted to assess the possible predictors of CVEs and multivariate analysis was used to estimate the risk factors of newly diagnosed MetS. Results Over a median follow-up of 4.66 years, 128 nonfatal or fatal cardiovascular events were documented and the cumulative incidence of MetS was 28.7% (36.3% for female; 24.3% for male). Cox proportional hazards analysis showed that family history of hypertension [Hazard ratio (HR): 1.694], current smoking (HR: 1.518), per 1 unit increase of systolic blood pressure (SBP) (HR: 1.016), and HDL-C (HR: 0.365) were strong predictors of newly onset CVEs among elderly with MetS at baseline. As for newly diagnosed MetS, male [Odd ratio (OR): 0.390] and proper sleep duration (8–9 hours/day) (OR: 0.580) served as protective factors. Furthermore, SBP (OR: 1.013), body mass index (OR: 1.178) and all lipid profiles were also associated factors of newly diagnosed MetS among elderly. Conclusions Current smoking and relatively higher value of SBP, and HDL-C at baseline were correlated with higher possibility to have CVEs among elderly with MetS. In order not to develop MetS, elderly should pay more attention to metabolic parameters and have proper sleep duration.

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“…Ao nível internacional estudos revelam também prevalência elevada de SM em diferentes faixas etárias, com predominância significativa no sexo feminino, em indivíduos com obesidade, e com idades maiores de 50 anos (Chimbo-Yunga et al, 2017;Jmal et al, 2019;Marbou & Kuete, 2019;Quiroz et al, 2018).…”

Section: Introductionunclassified

Prevalência de síndrome metabólica em usuários de um ambulatório de avaliação perioperatória

Reis

Wilk

Gomes

et al. 2021

RSD

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Objetivou-se identificar a prevalência e fatores associados à Síndrome Metabólica em pacientes atendidos em um ambulatório multiprofissional de medicina e enfermagem perioperatória. Métodos: Trata-se de uma pesquisa descritiva, documental de natureza transversal, com abordagem quantitativa, realizada em prontuários de pacientes submetidos à avaliação pré-anestésica em um ambulatório de medicina e enfermagem perioperatória. Resultados: A prevalência de Síndrome Metabólica (SM) foi de 54,4%, A população estudada caracterizou-se pelo predomínio de indivíduos do sexo feminino (67,6%), a média de idade foi 62,36 anos com e desvio padrão de 13,69. Verificou-se associação significativamente, com a idade, IMC, SAHOS, HAS, DM e ASA Conclusão: Os parâmetros relacionados aos componentes da síndrome metabólica se mostraram aumentados para circunferência abdominal, PAS, PAD, GJ, e TG, e reduzidos para HDL entre os diagnosticados com SM. Ademais valores de IMC indicativos de sobrepeso e obesidade e presença de HAS e DM foram observados.

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Síndrome metabólico y actividad física en adultos mayores de la sierra ecuatoriana

Abstract: Older adults diagnosed with metabolic syndrome presented the same level of physical activity as individuals without this diagnosis. It is necessary to confirm the present findings using direct measurement instruments of physical activity.

Cited by 8 publications

References 27 publications

Predictors of Cardiovascular Events in Elderly with Metabolic Syndrome from Rural Northeast China

Predictors of Cardiovascular Events in Elderly with Metabolic Syndrome from Rural Northeast China

Predictors of cardiovascular events in elderly with metabolic syndrome from rural Northeast China

Prevalência de síndrome metabólica em usuários de um ambulatório de avaliação perioperatória

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