18 research outputs found

    Factores de riesgo relacionados a enfermedades crónicas

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    Estudios epidemiológicos han demostrado que algunos factores modificables parecen estar involucrados en la etiología de diferentes enfermedades no transmisibles (ENT), como el cáncer (Giovannucci y Michaud, 2007), la diabetes y las enfermedades cardiovasculares, principalmente. Estas patologías son de naturaleza compleja y su tasa de prevalencia, incidencia y mortalidad están fuertemente relacionadas con determinantes sociales, culturales y socioeconómicos. ...Fil: Niclis, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Becaria Coquet, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentin

    Prevalencias factores de riesgo y enfermedades crónicas no transmisibles por provincia y sexo. Encuesta Nacional de Factores de Riesgo 2005

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    Prevalencia de hipertensión arterial, diabetes, obesidad, hábito de fumar, sedentarismo, consumo recomendado de frutas y verduras, y consumo de alcohol por provincia y por sexo. Cobertura geográfica y temporal: Argentina, 2005, 2009 y 2013.Fil: Niclis, Camila. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Becaria Coquet, Julia. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentin

    Socio-spatial differences in the prevalence of lifestyles risk factors related to chronic diseases in Argentina from 2005 to 2013

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    Diverse modifiable factors seem to be involved in the etiology of different non-communicable diseases (NCDs), such as cancer, diabetes, and cardiovascular diseases. These pathologies are complex in nature, and their prevalence, incidence, and mortality rates are strongly related to social, cultural, and socioeconomic determinants. The occurrence of NCDs is closely related to four main modifiable risk factors: tobacco use, physical inactivity, the harmful use of alcohol, and an unhealthy diet, all of them characteristic of current societies and their lifestyle in this century. Besides, certain authors propose a structural approach where poverty and differences in income have been indicated as the main drivers of premature deaths from chronic diseases. Specifically, it has been reported that, in Argentina, geographic differences in terms of urban scale and socioeconomic conditions could explain the inequities in the prevalent NCD mortality burden, which in effect, are distributed unequally between social groups and geographic regions. In this chapter, an analysis of the geographical distribution of the prevalence of some of the main chronic diseases and their risk factors linked to lifestyles in Argentina is proposed. The prevalence of arterial hypertension, diabetes, and obesity by sex and, in addition, specific risk factors (smoking, excessive alcohol consumption, and sedentary lifestyle) were used for the construction of maps. Data were obtained from the first, second, and third National Survey of Risk Factors carried out during the years 2005, 2009, and 2013 by the National Health Ministry. These indicators were used to construct prevalence maps for each of the years studied and by sex at the provincial scale. Various socioeconomic indicators were also overlapping through symbols proportional to their magnitude. The main indicator used was the socioeconomic level index. Additionally, the percentage of households with at least one unsatisfied basic necessity (as an indicator of structural poverty) and of the population without complete primary studies were also represented. The study of the territorial differences in the prevalence of several of the main NCDs in Argentina and their most recognized conditioning factors contributes to the knowledge of local realities when contemplating the contextual socioeconomic scenarios of each of these spaces. This is essential and could be used as grounds when designing specific strategies to address individual and structural health threats in our population.Fil: Niclis, Camila. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Aballay, Laura Rosana. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Becaria Coquet, Julia. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentin

    A framework to address potential bias in colorectal cancer: Its implementation on a nutritional epidemiologic study in Argentina

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    Colorectal cancer (CRC) is the third most incident cancer in Argentina and diet is widely recognized for being associatedwith CRC. The objective of this work was to construct a methodological framework to quantitatively assess systematicerrors in a case-control study, carried out in adult population of Córdoba province (2010-2016).ACRC case-control study (n=490, 161/329 cases/controls) was conducted. Confounding was analyzed applying regression models approach forobserved and unobserved variables. Selection bias was investigated utilizing deterministic scenarios, assigning a priori participationprobabilities. Information bias, derived from missing data in covariates, was handled applying multiple imputation by chained equations (MICE),considering the missing at random mechanism.Confounding effects of sex and socioeconomic status were found. In respect of selection bias, differences regarding conventional estimates werenegligible. MI approach showed a promoting effect of the South Cone dietary pattern. Significant associations with sex, BMI, family history ofCRC and socioeconomic status were observed.Fil: Becaria Coquet, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Cátedra de Histología, Embriología y Genética; ArgentinaFil: Muñoz, Sonia Edith. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Cátedra de Histología, Embriología y Genética; ArgentinaFil: Diaz, Maria del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Escuela de Nutrición; Argentin

    Breast cancer and modifiable lifestyle factors in argentinean women: Addressing missing data in a case-control study

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    A number of studies have evidenced the effect of modifiable lifestyle factors such as diet, breastfeeding and nutritional status on breast cancer risk. However, none have addressed the missing data problem in nutritional epidemiologic research in South America. Missing data is a frequent problem in breast cancer studies and epidemiological settings in general. Estimates of effect obtained from these studies may be biased, if no appropriate method for handling missing data is applied. We performed Multiple Imputation for missing values on covariates in a breast cancer case-control study of C�rdoba (Argentina) to optimize risk estimates. Data was obtained from a breast cancer case control study from 2008 to 2015 (318 cases, 526 controls). Complete case analysis and multiple imputation using chained equations were the methods applied to estimate the effects of a Traditional dietary pattern and other recognized factors associated with breast cancer. Physical activity and socioeconomic status were imputed. Logistic regression models were performed. When complete case analysis was performed only 31% of women were considered. Although a positive association of Traditional dietary pattern and breast cancer was observed from both approaches (complete case analysis OR=1.3, 95%CI=1.0-1.7; multiple imputation OR=1.4, 95%CI=1.2-1.7), effects of other covariates, like BMI and breastfeeding, were only identified when multiple imputation was considered. A Traditional dietary pattern, BMI and breastfeeding are associated with the occurrence of breast cancer in this Argentinean population when multiple imputation is appropriately performed. Multiple Imputation is suggested in Latin America's epidemiologic studies to optimize effect estimates in the future.Fil: Becaria Coquet, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; ArgentinaFil: Osella, Alberto Rubén. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; ItaliaFil: Tanzi, Matteo. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; ItaliaFil: Franco, Isabella. Istituto di Ricerca e Cura a Carattere Scientifico. Laboratorio di Epidemiologia e Biostatistica; ItaliaFil: Diaz, Maria del Pilar. Universidad Nacional de Cordoba. Facultad de Medicina. Escuela de Nutrición; Argentin

    Increased inflammatory potential of diet is associated with increased odds of prostate cancer in Argentinian men

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    Purpose: Various aspects of diet, including specific food items and nutrients, have been shown to modulate inflammation and have been implicated in the etiology of prostate cancer (PrCA). No study examining the role of diet-associated inflammation in PrCA has been conducted in Latin America. Method: We examined the association between the Dietary Inflammatory Index (DII®) and PrCA in a population-based case–control study in Córdoba, Argentina. A total of 153 incident cases of PrCA and 309 controls frequency matched on sex, age (± 5 years), and place of residence were recruited from 2008 to 2015. The DII was developed to determine the inflammatory potential of individuals’ diets and was computed from a validated food frequency questionnaire using nutrient data from diet only. Multi-level logistic regression models were fit to evaluate the association between DII scores and PrCA, adjusting for age, body mass index, energy intake, and occupational exposure as first-level covariates and family history of prostate cancer as the second-level variable. Odds ratios were estimated in all subject and stratified by BMI (< 30 vs. ≥ 30 kg/m2). Results: Men in the most pro-inflammatory group (tertile 3) had 50% higher odds of having PrCA compared to men in the most anti-inflammatory group (tertile 1) (ORtertile3 vs. tertile1 1.50; 95% CI 1.24–1.80). The odds of prostate cancer were higher in obese men (n = 109, ORtertile3 vs. tertile1 1.81; 95% CI 1.45–2.27), while no association was found among non-obese men (n = 375, ORtertile3 vs. tertile1 0.93; 95% CI 0.25–3.51). Conclusions: A pro-inflammatory diet, reflected by higher DII scores, was positively associated with PrCA occurrence. Based on these results and those from other studies, steps should be taken to promote a diet rich in anti-inflammatory foods, in order to reduce risk of PrCA and other chronic diseases. Future studies should explore this association in a prospective setting.Fil: Shivappa, Nitin. University of South Carolina; Estados UnidosFil: Niclis, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Becaria Coquet, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Román, María Dolores. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Cordoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Hébert, James R.. University of South Carolina; Estados Unidos. Connecting Health Innovations LLC; Estados UnidosFil: Diaz, Maria del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición. Cátedra de Estadística y Bioestadística; Argentin

    Quality and environmental footprints of diets by socio-economic status in Argentina

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    Food consumption and production plays a major role on human health and environmental sustainability. In addition, socio-economic status (SES) could be an important determinant on these impacts. Here we investigated the quality and environmental footprints of diets of different SES in Argentina. Dietary data was obtained from a recent national-wide representative survey (21,547 households), and individual intake was estimated by applying the Adult-Male Equivalent (AME) approach. Dietary quality was assessed by comparing the apparent consumption of foods and nutrients with the level of intake associated with the lowest risk of mortality, and applying the Alternate Healthy Eating Index 2010 (AHEI-2010). The environmental footprints were assessed with a set of six environmental indicators: greenhouse gas (GHG) emissions, total land occupation, cropland demand, fossil energy use, freshwater consumption and eutrophying emissions. Per capita total expenditure was utilized as an indicator of SES. We found a suboptimal intake of healthy and excess of unhealthy foods and nutrients in all SES, as well as a low AHEI-2010 score (34.7 ± 3.56 over 100). Regarding environmental footprints per AME, we estimated 8.91 ± 2.49 kg CO2-eq/day for GHG emissions, 9.30 ± 2.93 MJ/day for fossil energy use, 54.2 ± 14.8 m2/day for total land occupation, 7.07 ± 1.90 m2/day for cropland demand, 205 ± 65.3 L/day for freshwater consumption and 19.8 ± 6.43 g PO4-eq/day for eutrophying emissions. The Argentinian diet was found to be both unhealthy and unsustainable in all socio-economic levels.Fil: Arrieta, Ezequiel Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; ArgentinaFil: Geri, Milva. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaFil: Becaria Coquet, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Medicina. Escuela de Nutrición; ArgentinaFil: Scavuzzo, Carlos Matias. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina. Universidad Nacional de Córdoba; Argentina. Fundación Mundo Sano; ArgentinaFil: Zapata, Maria Elisa. Centro de Estudio S/nutrición Infantil; ArgentinaFil: Gonzalez, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Andino Patagónico de Tecnologías Biológicas y Geoambientales. Universidad Nacional del Comahue. Instituto Andino Patagónico de Tecnologías Biológicas y Geoambientales; Argentina. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentin

    Carga de mortalidad por cáncer y diferencias atribuibles al envejecimiento poblacional y factores de riesgo en Argentina, 1986-2011

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    The world faces an aging population that implies a large number of people affected with chronic diseases. Argentina has reached an advanced stage of demographic transition and presents a comparatively high rate of cancer mortality within Latin America. The objectives of this study were to examine cancer mortality trends in the province of Córdoba, Argentina, between 1986 and 2011, and to analyze the differences attributable to risk variations and demographic changes. Longitudinal series of age-standardized mortality rates for overall, breast and prostate cancers were modeled by Joinpoint regression to estimate the annual percent change. The Bashir & Estève method was used to split crude mortality rate variation into three components: mortality risk, population age structure and population size. A decreasing cancer age-standardized mortality rates trend was observed (1986-2011 annual percent change: -1.4, 95%CI: -1.6, -1.2 in men; -0.8, 95%CI: -1.0, -0.6 in women), with a significant shift in 1996. There were positive crude mortality rate net changes for overall female cancer, breast and prostate cancers, which were primarily attributable to demographic changes. Inversely, overall male cancer crude mortality rate showed a 9.15% decrease, mostly due to mortality risk. Despite favorable age-standardized mortality rates trends, the influence of population aging reinforces the challenge to control cancer in populations with an increasingly aged demographic structure.Fil: Pou, Sonia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Tumas, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad. Universidad Nacional de Córdoba. Centro de Investigaciones y Estudios sobre Cultura y Sociedad; ArgentinaFil: Becaria Coquet, Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Niclis, Camila. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Román, María Dolores. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; ArgentinaFil: Diaz, Maria del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Ciencias de la Salud. Universidad Nacional de Córdoba. Instituto de Investigaciones en Ciencias de la Salud; Argentin

    Burden of cancer mortality and differences attributable to demographic aging and risk factors in Argentina, 1986-2011

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    Abstract: The world faces an aging population that implies a large number of people affected with chronic diseases. Argentina has reached an advanced stage of demographic transition and presents a comparatively high rate of cancer mortality within Latin America. The objectives of this study were to examine cancer mortality trends in the province of Córdoba, Argentina, between 1986 and 2011, and to analyze the differences attributable to risk variations and demographic changes. Longitudinal series of age-standardized mortality rates for overall, breast and prostate cancers were modeled by Joinpoint regression to estimate the annual percent change. The Bashir & Estève method was used to split crude mortality rate variation into three components: mortality risk, population age structure and population size. A decreasing cancer age-standardized mortality rates trend was observed (1986-2011 annual percent change: -1.4, 95%CI: -1.6, -1.2 in men; -0.8, 95%CI: -1.0, -0.6 in women), with a significant shift in 1996. There were positive crude mortality rate net changes for overall female cancer, breast and prostate cancers, which were primarily attributable to demographic changes. Inversely, overall male cancer crude mortality rate showed a 9.15% decrease, mostly due to mortality risk. Despite favorable age-standardized mortality rates trends, the influence of population aging reinforces the challenge to control cancer in populations with an increasingly aged demographic structure

    Identificación de factores de confusión en el estudio de la relación cáncer colorrectal-dieta

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    Introduction. Diet is the second preventable cause related to the development of cancer. Given its multi-causal nature, in studying the relationship between cancer and diet, other factors with potential confounding effect must be considered to avoid bias in risk estimates. Objectives: a) Identifying the confounding effect of physical activity level, smoking habits and socioeconomic status in the relationship between colorectal cancer and cooked red meat, fiber and alcohol intake; b) Assessing the effect of dietary factors on the occurrence of colorectal cancer, considering the confounding variables identified. Methods. A case-control study was conducted (102 cases with colorectal cancer and 217 controls) in Cordoba, Argentina, over 2006-2011. A bivariate analysis, between food variables and the presence of colorectal cancer, and a Mantel-Heanzel analysis, stratifying by the potential confounders, were conducted. Finally, multiple logistic regression models were constructed, including the confounding variables. Results. Confounding effect of the socioeconomic status related to cooked red meat, fiber and alcohol intake, and physical activity level was verified. There was no association between fiber intake and colorectal cancer (OR 0,71; IC95% 0,31-1,62), while a promoting effect of low socioeconomic status (OR 1,75; IC95% 0,95-2,60), and daily energy intake (OR 1,0003; IC95% 1,00008-1,0006) were found. Conclusion. It is recommended to consider socioeconomic status and physical activity as adjusted factors when conducting food risk analysis in the study of the relationship between colorectal cancer and diet in Argentina.Introducci&oacute;n. La dieta se reconoce como segunda causa evitable relacionada con el desarrollo de c&aacute;ncer. No obstante, dado su naturaleza multicausal, al estudiar la relaci&oacute;n c&aacute;ncer-dieta deben considerarse otros factores con potencial efecto confusor para evitar sesgos en estimaciones de riesgo. Objetivos. a) Identificar el efecto confundente del nivel de actividad f&iacute;sica, h&aacute;bito de fumar y nivel socioecon&oacute;mico en la relaci&oacute;n c&aacute;ncer colorrectal (CCR) y dieta; b) Valorar el riesgo de factores alimentarios asociados a CCR, considerando las variables confundentes identificadas. Metodolog&iacute;a. Se condujo un estudio caso-control (n=319; 102 casos de CCR, 217 controles) en C&oacute;rdoba, Argentina (2006-2011). Se realiz&oacute; un an&aacute;lisis bivariado entre variables alimentarias de inter&eacute;s y presencia de CCR, estimando ORs como medida de asociaci&oacute;n. Luego, mediante an&aacute;lisis de Mantel-Haenszel, se estratific&oacute; por potenciales variables confundentes. Finalmente,se construyeron modelos de regresi&oacute;n log&iacute;stica m&uacute;ltiple, incluyendolas confundentes. Resultados. Se verific&oacute; efecto confusor del nivel socioecon&oacute;mico en relaci&oacute;n al consumo de carnes rojas cocidas, fibra y etanol, y de la actividad f&iacute;sica en cuanto al consumo de fibra alimentaria. Controlando por dichos efectos, no se encontr&oacute; asociaci&oacute;n (OR 0,71; IC95% 0,31-1,62) entre la ingesta de fibra y la patolog&iacute;a, y se observ&oacute; un efecto promotor (OR 1,75; IC95% 0,95- 2,60) del nivel socioecon&oacute;mico bajo y de la ingesta energ&eacute;tica diaria (OR 1,0003; IC95% 1,00008-1,0006). Conclusi&oacute;n. Se reconoce el nivel socioecon&oacute;mico y la actividad f&iacute;sica como potenciales variables confusoras en el estudio de la relaci&oacute;n CCR y alimentaci&oacute;n en Argentina. Se recomienda considerarlas como variables de ajuste al realizar an&aacute;lisis de riesgos alimentarios
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