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1.
Atherosclerosis ; 238(2): 240-9, 2015 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-25528433

RESUMEN

OBJECTIVE: The aim of this study was to evaluate the factors associated with different components of arterial blood pressure in nine nationally-representative samples of people aged ≥50 years. METHODS: Data were available for 53,289 people aged ≥18 years who participated in the SAGE (WHO Study on global AGEing and adult health) study conducted in China, Ghana, India, Mexico, Russia, and South Africa, and the COURAGE (Collaborative Research on Ageing in Europe) study conducted in Finland, Poland, and Spain, between 2007 and 2012. Standard procedures were used to obtain diastolic and systolic blood pressure (DBP, SBP) measurements to identify hypertensive participants, and to determine mean arterial blood pressure (MAP) and pulse pressure (PP). RESULTS: The analytical sample consisted of 42,116 people aged 50 years or older. South Africa had the highest prevalence of hypertension (78.3%), and the highest measurements of MAP ± SD (113.6 ± 36.4 mmHg), SBP ± SD (146.4 ± 49.5 mmHg), and DBP ± SD (97.2 ± 33.9 mmHg). In the adjusted models, dose-dependent positive associations between Body Mass Index (BMI) and MAP or PP were observed in most countries (p < 0.05). Diabetes was positively associated with PP in most countries but the association between diabetes and MAP was less consistent. Stroke was associated with both higher MAP and PP in China, Ghana, and South Africa (p < 0.05). CONCLUSIONS: Obesity and diabetes remain important modifiable risk factors for arterial peripheral resistance and stiffness as reflected by MAP and PP respectively. Controlling arterial pressure abnormalities after stroke events may be important for secondary prevention, particularly in developing countries.


Asunto(s)
Antropometría , Presión Arterial , Hipertensión/epidemiología , Adulto , África/epidemiología , Factores de Edad , Anciano , Asia/epidemiología , Índice de Masa Corporal , Comorbilidad , Estudios Transversales , Diabetes Mellitus/diagnóstico , Diabetes Mellitus/epidemiología , Europa (Continente)/epidemiología , Femenino , Humanos , Hipertensión/diagnóstico , Hipertensión/fisiopatología , Masculino , México/epidemiología , Persona de Mediana Edad , Obesidad/diagnóstico , Obesidad/epidemiología , Prevalencia , Factores de Riesgo , Accidente Cerebrovascular/diagnóstico , Accidente Cerebrovascular/epidemiología , Factores de Tiempo , Resistencia Vascular , Rigidez Vascular
2.
PLoS One ; 9(12): e114742, 2014.
Artículo en Inglés | MEDLINE | ID: mdl-25478876

RESUMEN

BACKGROUND: Data on the association between chronic conditions or the number of chronic conditions and sleep problems in low- or middle-income countries is scarce, and global comparisons of these associations with high-income countries have not been conducted. METHODS: Data on 42116 individuals 50 years and older from nationally-representative samples of the Collaborative Research on Ageing in Europe (Finland, Poland, Spain) and the World Health Organization's Study on Global Ageing and Adult Health (China, Ghana, India, Mexico, Russia, South Africa) conducted between 2011-2012 and 2007-2010 respectively were analyzed. RESULTS: The association between nine chronic conditions (angina, arthritis, asthma, chronic lung disease, depression, diabetes, hypertension, obesity, and stroke) and self-reported severe/extreme sleep problems in the past 30 days was estimated by logistic regression with multiple variables. The age-adjusted prevalence of sleep problems ranged from 2.8% (China) to 17.0% (Poland). After adjustment for confounders, angina (OR 1.75-2.78), arthritis (OR 1.39-2.46), and depression (OR 1.75-5.12) were significantly associated with sleep problems in the majority or all of the countries. Sleep problems were also significantly associated with: asthma in Finland, Spain, and India; chronic lung disease in Poland, Spain, Ghana, and South Africa; diabetes in India; and stroke in China, Ghana, and India. A linear dose-dependent relationship between the number of chronic conditions and sleep problems was observed in all countries. Compared to no chronic conditions, the OR (95%CI) for 1,2,3, and ≥ 4 chronic conditions was 1.41 (1.09-1.82), 2.55 (1.99-3.27), 3.22 (2.52-4.11), and 7.62 (5.88-9.87) respectively in the overall sample. CONCLUSIONS: Identifying co-existing sleep problems among patients with chronic conditions and treating them simultaneously may lead to better treatment outcome. Clinicians should be aware of the high risk for sleep problems among patients with multimorbidity. Future studies are needed to elucidate the best treatment options for comorbid sleep problems especially in developing country settings.


Asunto(s)
Trastornos del Sueño-Vigilia/epidemiología , Anciano , Anciano de 80 o más Años , China/epidemiología , Enfermedad Crónica/epidemiología , Comorbilidad , Europa (Continente) , Femenino , Ghana/epidemiología , Humanos , India/epidemiología , Modelos Logísticos , Masculino , México/epidemiología , Persona de Mediana Edad , Factores de Riesgo , Federación de Rusia/epidemiología , Sudáfrica/epidemiología
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