Edad como factor de riesgo para desarrollar síndrome metabólico en trabajadores mineros a gran altura

Mejía, Christian R.; Quiñones-Laveriano, Dante M.; Cruzalegui-Solari, Claudia C.; Arriola-Quiroz, Isaías; Perez-Perez, Luís; Gomero, Raúl

doi:10.1016/j.raem.2016.05.002

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…The findings of our study demonstrate that age is related to practicing physical activity, which is consistent with Berkemeyer et al 17 findings in a study conducted in the United Kingdom and USA in a population of 4052 and 3459 older adults with ages ranging from 49 to 91 and 49 to 85 years, respectively, which revealed that physical activity frequency and intensity change throughout life, with it being significantly lower as age advances 17 . This is ratified by two local studies that showed that age increase is associated with a higher risk for cardiovascular events and for developing metabolic syndrome among Peruvian workers 18,19 . Therefore, age increase is considered to be a risk factor for the development and progression of most chronic conditions, with regular physical activity being a substantial modifier of these risks 5 .…”

Section: Discussionmentioning

confidence: 79%

Physical activity and its association with chronic diseases in the elderly in 11 cities of Peru

Mejía¹,

Verastegui-Díaz²,

Quiñones-Laveriano³

et al. 2023

GMM

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The aim of the study was to determine the frequency of physical activity and its association with chronic diseases in the elderly in 11 cities of Peru. Methods: A cross-sectional study of secondary data was conducted; the dependent variable was not the realization of physical activity, chronic disease, and other physio-anthropometric variables were independent variables. For bivariate and multivariate analysis, generalized linear models were used. A confidence level of 95% and p < 0.05 as statistically significant was considered. Results: Of the 1030 elderly, 68% (698) did not perform physical activity. When performing the multivariate model was obtained for every year of age increased by 1.5% frequency do physical activity (RPA: 1.015, 95% CI 1.006-1.024, p = 0.001) for each additional centimeter waist decreased 0.6% performing physical activity (RPA: 0.994, 95% CI: 0.992-0.997, p < 0.001) and those suffering from other chronic heart disease (RPA: 1.15, 95% CI: 1.02-1.30. p = 0.019) had higher frequencies of no physical activity, adjusted for sex and city of residence. Conclusion: No physical activity was associated with suffering from some heart disease, older age, and waist circumference. We need to consider these results from the study to promote physical activity in this population.

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Section: Discussionmentioning

confidence: 79%

Physical activity and its association with chronic diseases in the elderly in 11 cities of Peru

Mejía¹,

Verastegui-Díaz²,

Quiñones-Laveriano³

et al. 2023

GMM

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“…This demonstrates the importance of prioritizing young individuals for interventions based on health promotion or primary prevention and adults as individuals who require greater epidemiologic vigilance for control and care programs. [23][24][25] Physical inactivity presented the highest adjusted risk in this population, which demonstrates the importance of improving public policies related to good use of free time and promotion of physical activity because this is associated with metabolic syndrome and a wide range of health problems. In addition, it is a risk factor for which effective and cost-effective interventions are available.…”

Section: Discussionmentioning

confidence: 99%

<p>Prevalence of Metabolic Syndrome and Its Association with Sociodemographic Characteristics in Participants of a Public Chronic Disease Control Program in Medellin, Colombia, in 2018</p>

Higuita-Gutiérrez

Quiroz

Cardona‐Arias

2020

DMSO

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Background: Metabolic syndrome has increased to epidemic levels in low-and middleincome countries. The knowledge on metabolic syndrome and its related diseases constitutes a clinical, epidemiological, and economic challenge of great relevance. The frequency of metabolic syndrome may vary between populations depending on age, sex, lifestyle, and culture; however, in Colombia, there is only little research, and the available studies focus on small populations that do not allow estimating their prevalence and distribution in different sociodemographic groups. We aimed to estimate the prevalence of metabolic syndrome and its association with sociodemographic characteristics in participants attending public chronic disease control programs in Medellin, Colombia, in the year 2018. Methods: We conducted a cross-sectional study in all patients who participated in a public chronic disease control program. Involved in this study were 68,288 individuals who attended at 10 hospital units and were strategically distributed in the city. The diagnostic criteria of the metabolic syndrome and its components were based on the consensus of the Latin American Diabetes Association. The data on age, sex, blood pressure, weight, height, physical activity, medications, lipid profile, and glycemic and glycosylated hemoglobin levels were obtained for clinical records. The prevalence, Pearson's chi-square test, prevalence ratios (Kato-Katz method), and odds ratios (Woolf method) were estimated with 95% confidence intervals. A multivariate adjustment model was used with a logistic regression model to identify potential confounders using Epidat 4.2 and SPSS ® 25.0. Results: The prevalence of the syndrome was 35.4%, with abdominal obesity in 82.3% individuals, hypertension in 48.6%, glucose intolerance in 25.5%, and hypertriglyceridemia in 22%. The prevalence of the syndrome exhibited statistical differences according to the area of residence. It was 15% higher in women; 31% and 59% higher in young and older adults, respectively, than in individuals aged <25 years; 11% and 13% higher in the illiterate population and population with primary studies than in individuals with higher education; and approximately 200 times higher than those who are sedentary. Conclusion: A high prevalence of the syndrome and its constitutive factors in the study population demonstrated the importance of controlling it and increasing community-based prevention strategies, prioritizing the identified groups that are at the highest risk.

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“…Los hallazgos de nuestro estudio demuestran que la edad está relacionada con la realización de actividad física en el adulto mayor, lo que concuerda con lo encontrado por Berkemeyer, et al 17 , quienes al realizar un estudio en el Reino Unido y los EE.UU., en una población de 4052 y 3459 adultos mayores con edades de 49-91 y 49-85 años, respectivamente, reportaron que la frecuencia y la intensidad de la actividad física cambian a lo largo de la vida, siendo significativamente menores a medida que va avanzando la edad 17 . Esto es ratificado por dos estudios locales que muestran que el incremento de la edad está asociado a un mayor riesgo de evento cardiovascular y al padecimiento de síndrome metabólico entre trabajadores peruanos 18,19 . Por lo tanto, el aumento de la edad se considera un factor de riesgo para el desarrollo y la progresión de la mayoría de las enfermedades crónicas, siendo la actividad física regular un modificador sustancial de estos riesgos 5 .…”

Section: Discussionunclassified

Actividad física y su asociación con enfermedades crónicas en ancianos de once ciudades del Perú

Mejía

Verastegui-Díaz

Quiñones-Laveriano

et al. 2017

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Edad como factor de riesgo para desarrollar síndrome metabólico en trabajadores mineros a gran altura

Cited by 4 publications

References 31 publications

Physical activity and its association with chronic diseases in the elderly in 11 cities of Peru

Physical activity and its association with chronic diseases in the elderly in 11 cities of Peru

<p>Prevalence of Metabolic Syndrome and Its Association with Sociodemographic Characteristics in Participants of a Public Chronic Disease Control Program in Medellin, Colombia, in 2018</p>

Actividad física y su asociación con enfermedades crónicas en ancianos de once ciudades del Perú

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