Cancer epidemiology: study designs and data analysis

Malats, Núria; Castaño‐Vinyals, Gemma

doi:10.1007/s12094-007-0056-x

Cited by 3 publications

(2 citation statements)

References 29 publications

(32 reference statements)

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“…However, much remains unknown about how pathophysiology is affected by social factors and their correlates (e.g., lifestyle changes, urbanization, migration and acculturation), especially for hypertension. Consequently, modern frameworks call for multilevel systems approaches that pay attention to both societal-and molecular-level contributors to health equity (i.e., "the absence of unfair and avoidable or remediable differences in health among social groups" [34]) [35,36].…”

Section: Rising Health Inequalitiesmentioning

confidence: 99%

The Population Health OutcomEs aNd Information Exchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease

Korzeniewski

Bezold²,

Carbone

et al. 2020

OJPHI

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This concept article introduces a transformative vision to reduce the population burden of chronic disease by focusing on data integration, analytics, implementation and community engagement. Known as PHOENIX (The Population Health OutcomEs aNd Information EXchange), the approach leverages a state level health information exchange and multiple other resources to facilitate the integration of clinical and social determinants of health data with a goal of achieving true population health monitoring and management. After reviewing historical context, we describe how multilevel and multimodal data can be used to facilitate core public health services, before discussing the controversies and challenges that lie ahead.

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Section: Rising Health Inequalitiesmentioning

confidence: 99%

The Population Health OutcomEs aNd Information Exchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease

Korzeniewski

Bezold²,

Carbone

et al. 2020

OJPHI

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“…El cáncer es una enfermedad multifactorial que ocurre debido a la interacción aún poco comprendida entre factores ambientales y genéticos (11). En el 2005, la Organización Mundial de la Salud (OMS) (12) estimó que 43% de las muertes por cáncer se debieron a tres factores causales: tabaco, dieta e infecciones crónicas.…”

Section: Introductionunclassified

Lecciones aprendidas en un estudio de reproducibilidad y validez de cuestionarios para estimar la ingesta dietética en Colombia. 2010-2017

Herrán

Rojas²

2019

Rev. Fac. Med.

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Lecciones aprendidas en un estudio de reproducibilidad y validez de cuestionarios para estimar la ingesta dietética en Colombia. INVESTIGACIÓN ORIGINAL| Resumen | Introducción. La dieta es una exposición compleja de medir que se asocia al desarrollo de enfermedad crónica, por lo cual es necesario desarrollar y validar instrumentos simplificados para su medición.Objetivo. Establecer la reproducibilidad en la clasificación y la validez contra recordatorios de la ingesta dietética en las últimas 24 horas (R24H) de cuestionarios de frecuencia de consumo (CFC) desarrollados en Colombia.Materiales y métodos. Estudio de tecnología diagnóstica desarrollado durante 2010-2017. Se aplicaron dos R24H y dos CFC a 523 sujetos: 109 en Bogotá D.C., 107 en Medellín, 106 en Cali, 102 en Barranquilla y 99 en Bucaramanga y su área metropolitana. Los estudios de reproducibilidad y validez se realizaron con coeficientes de correlación r de Pearson crudos y ajustados por el método de energía residual.Resultados. La reproducibilidad de los recordatorios fue pobre-moderada (mínimo -0.00, máximo 0.72), al igual que la de los cuestionarios (mínimo -0.01, máximo 0.72). La validez de los cuestionarios fue pobre (mínimo -0.01, máximo, -0.59). Conclusión.Los CFC no son útiles en la investigación epidemiológica, lo que se explica en la alta variabilidad debida a pocas repeticiones en la estimación dietética al diseñar los cuestionarios y a fallas en la recolección de los datos. Palabras clave: Dieta; Neoplasias; Encuestas y cuestionarios; Reproducibilidad de los resultados (DeCS).Herrán OF, Rojas MP. Lecciones aprendidas en un estudio de reproducibilidad y validez de cuestionarios para estimar la ingesta dietética en Colombia. | Abstract |Introduction: Dietary exposure is complex to measure and is associated with the development of chronic diseases; therefore, it is necessary to develop and validate simplified instruments for measurement.Objective: To establish the classification and validity reproducibility of the 24-hour dietary recall method (24hDR) in food frequency questionnaires (FFQ) developed in Colombia. Materials and methods:Diagnostic technology study developed during 2010-2017. Two 24hDR and two FFQs were applied to 523 subjects: 109 in Bogotá D.C., 107 in Medellín, 106 in Cali, 102 in Barranquilla and 99 in Bucaramanga and its metropolitan area. Reproducibility and validity studies were performed using crude Pearson's r coefficients adjusted by residual energy method. Results:The reproducibility of 24hDR was poor-moderate (minimum -0.00, maximum 0.72), as was the reproducibility of the questionnaires (minimum -0.01, maximum 0.72). The validity of the questionnaires was poor (minimum -0.01, maximum -0.59). Conclusion:FFQs are not useful for epidemiological research, which is explained by the high variability caused by few 24hR recalls in dietary estimation when designing questionnaires, and failures in data collection.

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Topics in Study Design and Analysis for Multistage Clinical Proteomics Studies

Zeng

2016

Methods in Molecular Biology

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This chapter discusses the design issues in clinical proteomics study and provides specific suggestions for addressing these questions when using the standard guidelines for the planning. It provides two methods for the sample size estimation in study design. The first method is used for the planning of a clinical proteomic study at the discovery or verification stage; the second method is proposed for the systematic planning of a multistage study. The second part of the chapter introduces three approaches to analyzing the clinical proteomic study and provides analyses for two case studies of clinical proteomic discoveries.

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Cancer epidemiology: study designs and data analysis

Cited by 3 publications

References 29 publications

The Population Health OutcomEs aNd Information Exchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease

The Population Health OutcomEs aNd Information Exchange (PHOENIX) Program - A Transformative Approach to Reduce the Burden of Chronic Disease

Lecciones aprendidas en un estudio de reproducibilidad y validez de cuestionarios para estimar la ingesta dietética en Colombia. 2010-2017

Topics in Study Design and Analysis for Multistage Clinical Proteomics Studies

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