Juan Carlos Bazo-Alvarez
Cayetano Heredia University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Juan Carlos Bazo-Alvarez.
Critical pathways in cardiology | 2015
Juan Carlos Bazo-Alvarez; Renato Quispe; Frank Peralta; Julio A. Poterico; Giancarlo A. Valle; Melissa Burroughs; Timesh D Pillay; Robert H. Gilman; William Checkley; Germán Málaga; Liam Smeeth; Antonio Bernabe-Ortiz; J. Jaime Miranda
Supplemental Digital Content is available in the text.
Global heart | 2016
Renato Quispe; Catherine P. Benziger; Juan Carlos Bazo-Alvarez; Laura D Howe; William Checkley; Robert H. Gilman; Liam Smeeth; Antonio Bernabe-Ortiz; J. Jaime Miranda; Juan P. Casas; George Davey Smith; Shah Ebrahim; Hector H. Garcia; Luis Huicho; Germán Málaga; Victor M. Montori; Gregory B. Diette; Fabiola León-Velarde; Maria Rivera; Robert A. Wise; Katherine A. Sacksteder
Background Variations in the distribution of cardiovascular disease and risk factors by socioeconomic status (SES) have been described in affluent societies, yet a better understanding of these patterns is needed for most low- and middle-income countries. Objective This study sought to describe the relationship between cardiovascular risk factors and SES using monthly family income, educational attainment, and assets index, in 4 Peruvian sites. Methods Baseline data from an age- and sex-stratified random sample of participants, ages ≥35 years, from 4 Peruvian sites (CRONICAS Cohort Study, 2010) were used. The SES indicators considered were monthly family income (n = 3,220), educational attainment (n = 3,598), and assets index (n = 3,601). Behavioral risk factors included current tobacco use, alcohol drinking, physical activity, daily intake of fruits and vegetables, and no control of salt intake. Cardiometabolic risk factors included obesity, elevated waist circumference, hypertension, insulin resistance, diabetes mellitus, low high-density lipoprotein cholesterol, and high triglyceride levels. Results In the overall population, 41.6% reported a monthly family income <US
Global heart | 2016
Renato Quispe; Catherine P. Benziger; Juan Carlos Bazo-Alvarez; Laura D Howe; William Checkley; Robert H. Gilman; Liam Smeeth; Antonio Bernabe-Ortiz; J. Jaime Miranda; Juan P. Casas; George Davey Smith; Shah Ebrahim; Hector H. Garcia; Luis Huicho; Germán Málaga; Víctor M. Montori; Gregory B. Diette; Fabiola León-Velarde; Maria Rivera; Robert A. Wise; Katherine A. Sacksteder
198, and 45.6% had none or primary education. Important differences were noted between the socioeconomic indicators: for example, higher income and higher scores on an asset index were associated with greater risk of obesity, whereas higher levels of education were associated with lower risk of obesity. In contrast, higher SES according to all 3 indicators was associated with higher levels of triglycerides. Conclusions The association between SES and cardiometabolic risk factors varies depending on the SES indicator used. These results highlight the need to contextualize risk factors by socioeconomic groups in Latin American settings.
Journal of the American Heart Association | 2015
Renato Quispe; Juan Carlos Bazo-Alvarez; Melissa S. Burroughs Peña; Julio A. Poterico; Robert H. Gilman; William Checkley; Antonio Bernabe-Ortiz; Mark D. Huffman; J. Jaime Miranda; Peru Migrant Study
Background Variations in the distribution of cardiovascular disease and risk factors by socioeconomic status (SES) have been described in affluent societies, yet a better understanding of these patterns is needed for most low- and middle-income countries. Objective This study sought to describe the relationship between cardiovascular risk factors and SES using monthly family income, educational attainment, and assets index, in 4 Peruvian sites. Methods Baseline data from an age- and sex-stratified random sample of participants, ages ≥35 years, from 4 Peruvian sites (CRONICAS Cohort Study, 2010) were used. The SES indicators considered were monthly family income (n = 3,220), educational attainment (n = 3,598), and assets index (n = 3,601). Behavioral risk factors included current tobacco use, alcohol drinking, physical activity, daily intake of fruits and vegetables, and no control of salt intake. Cardiometabolic risk factors included obesity, elevated waist circumference, hypertension, insulin resistance, diabetes mellitus, low high-density lipoprotein cholesterol, and high triglyceride levels. Results In the overall population, 41.6% reported a monthly family income <US
Preventing Chronic Disease | 2017
Carlos A. Huayanay-Espinoza; Renato Quispe; Julio A. Poterico; Rodrigo M. Carrillo-Larco; Juan Carlos Bazo-Alvarez; J. Jaime Miranda
198, and 45.6% had none or primary education. Important differences were noted between the socioeconomic indicators: for example, higher income and higher scores on an asset index were associated with greater risk of obesity, whereas higher levels of education were associated with lower risk of obesity. In contrast, higher SES according to all 3 indicators was associated with higher levels of triglycerides. Conclusions The association between SES and cardiometabolic risk factors varies depending on the SES indicator used. These results highlight the need to contextualize risk factors by socioeconomic groups in Latin American settings.
Diabetic Medicine | 2017
Juan Carlos Bazo-Alvarez; Renato Quispe; T. D. Pillay; Antonio Bernabe-Ortiz; Liam Smeeth; William Checkley; Robert H. Gilman; Germán Málaga; J. Jaime Miranda
Background Short-term risk assessment tools for prediction of cardiovascular disease events are widely recommended in clinical practice and are used largely for single time-point estimations; however, persons with low predicted short-term risk may have higher risks across longer time horizons. Methods and Results We estimated short-term and lifetime cardiovascular disease risk in a pooled population from 2 studies of Peruvian populations. Short-term risk was estimated using the atherosclerotic cardiovascular disease Pooled Cohort Risk Equations. Lifetime risk was evaluated using the algorithm derived from the Framingham Heart Study cohort. Using previously published thresholds, participants were classified into 3 categories: low short-term and low lifetime risk, low short-term and high lifetime risk, and high short-term predicted risk. We also compared the distribution of these risk profiles across educational level, wealth index, and place of residence. We included 2844 participants (50% men, mean age 55.9 years [SD 10.2 years]) in the analysis. Approximately 1 of every 3 participants (34% [95% CI 33 to 36]) had a high short-term estimated cardiovascular disease risk. Among those with a low short-term predicted risk, more than half (54% [95% CI 52 to 56]) had a high lifetime predicted risk. Short-term and lifetime predicted risks were higher for participants with lower versus higher wealth indexes and educational levels and for those living in urban versus rural areas (P<0.01). These results were consistent by sex. Conclusions These findings highlight potential shortcomings of using short-term risk tools for primary prevention strategies because a substantial proportion of Peruvian adults were classified as low short-term risk but high lifetime risk. Vulnerable adults, such as those from low socioeconomic status and those living in urban areas, may need greater attention regarding cardiovascular preventive strategies.
Revista Peruana de Medicina Experimental y Salud Pública | 2016
Juan Carlos Bazo-Alvarez; Oscar Alfredo Bazo-Alvarez; Jeins Aguila; Frank Peralta; Wilfredo Mormontoy; Ian M. Bennett
Introduction The rise in noncommunicable diseases and their risk factors in developing countries may have changed or intensified the effect of parity on obesity. We aimed to assess this association in Peruvian women using data from a nationally representative survey. Methods We used data from Peru’s Demographic and Health Survey, 2012. Parity was defined as the number of children ever born to a woman. We defined overweight as having a body mass index (BMI, kg/m2) of 25.0 to 29.9 and obesity as a BMI ≥30.0. Generalized linear models were used to evaluate the association between parity and BMI and BMI categories, by area of residence and age, adjusting for confounders. Results Data from 16,082 women were analyzed. Mean parity was 2.25 (95% confidence interval [CI], 2.17–2.33) among rural women and 1.40 (95% CI, 1.36–1.43) among urban women. Mean BMI was 26.0 (standard deviation, 4.6). We found evidence of an association between parity and BMI, particularly in younger women; BMI was up to 4 units higher in rural areas and 2 units higher in urban areas. An association between parity and BMI categories was observed in rural areas as a gradient, being highest in younger women. Conclusion We found a positive association between parity and overweight/obesity. This relationship was stronger in rural areas and among younger mothers.
SAGE Open | 2018
Paul E. George; Juan Carlos Bazo-Alvarez; Angela M. Bayer
Higher haemoglobin levels and differences in glucose metabolism have been reported among high‐altitude residents, which may influence the diagnostic performance of HbA1c. This study explores the relationship between HbA1c and fasting plasma glucose (FPG) in populations living at sea level and at an altitude of > 3000 m.
Revista Peruana de Medicina Experimental y Salud Pública | 2018
Diego Azañedo; Lorena Saavedra-Garcia; Juan Carlos Bazo-Alvarez
Objetives. Our aim was to evaluate the psychometric properties of the FACES-III among Peruvian high school students. Materials and Methods. This is a psychometric cross-sectional study. A probabilistic sampling was applied, defined by three stages: stratum one (school), stratum two (grade) and cluster (section). The participants were 910 adolescent students of both sexes, between 11 and 18 years of age. The instrument was also the object of study: the Olsons FACES-III. The analysis included a review of the structure / construct validity of the measure by factor analysis and assessment of internal consistency (reliability). Results. The real-cohesion scale had moderately high reliability (Ω=.85) while the real-flexibility scale had moderate reliability (Ω=.74). The reliability found for the ideal-cohesion was moderately high (Ω=.89) like for the scale of ideal-flexibility (Ω=.86). Construct validity was confirmed by the goodness of fit of a two factor model (cohesion and flexibility) with 10 items each [Adjusted goodness of fit index (AGFI) = 0.96; Expected Cross Validation Index (ECVI) = 0.87; Normed fit index (NFI) = 0.93; Goodness of fit index (GFI) = 0.97; Root mean square error of approximation (RMSEA) = 0.06]. Conclusions. FACES-III has sufficient reliability and validity to be used in Peruvian adolescents for the purpose of group or individual assessment.
PLOS ONE | 2018
Dhammika Deepani Siriwardhana; Kate Walters; Greta Rait; Juan Carlos Bazo-Alvarez; Manuj C. Weerasinghe
Over the past decade, data have identified male sex work as a potentially viable economic decision; despite this, male sex workers (MSWs) continue to be perceived as group with access to few assets and resources. Using data from a pilot skills–building intervention for MSWs in Lima, Peru, an analysis of the economic characteristics of 209 MSWs is presented. The majority reported livable incomes with median earnings of US