Laura Rosana Aballay
Biographic Data
| ID | 1783763 |
|---|---|
| NAME | Laura Rosana Aballay |
| GIVEN NAMES | Laura Rosana |
| FAMILY NAME | Aballay |
| SIGNATURE | ABALLAY L R |
| AFFILIATIONS | Universidad Nacional de Córdoba |
| ORCID | 0000-0002-3430-3566 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Effect of ambient temperature on overweight: Direct and indirect pathways in a multiple mediation model
Global warming and obesity are two major global challenges. The intricate relationships between climate, lifestyle factors, and their combined impact on overweight remain to be fully elucidated. We aim to estimate the effect of ambient temperature on overweight and examine the role of physical activity and fruit/vegetable consumption as indirect mediating pathways in Argentina. This cross-sectional study was conducted using data from the 2018 Nat…
Application of natural language processing for the recognition of obesity-related topics in the discourses of Argentine Twitter users
The global burden of obesity has risen due to various factors, including sociocultural aspects. Social representations (SRs) of obesity could help to understand the problem. Nowadays, social networks activate new social interaction processes and enable the construction of SRs. Tweets can identify mind-sets as cultural reflections of the times. This study aimed to identify widely shared obesity topics on Twitter-Argentina using Natural Language Pr…
Sociodemographic disparities and contextual factors in obesity: Updated evidence from a National Survey of Risk Factors for Chronic Diseases
Objective: To assess the association of sociodemographic and environmental factors with the obesity occurrence in Argentina from a sex- and age-comparative perspective and a multilevel approach. Design: Cross-sectional study based on secondary data from the National Survey of Chronic Diseases Risk Factors (CDRF) 2018, Argentina. Two-level logistic regression models stratified by sex and age were used. Setting: The nationwide probabilistic sample …
Vacunación contra Sars-CoV-2 y su relación con enfermedad y muerte por Covid-19 en Argentina
Objetivo. Conocer la efectividad de la vacunación contra SARS-CoV-2 para prevenir el desarrollo de enfermedad y muerte por COVID-19 en Córdoba, Argentina, en el periodo enero-junio de 2021. Métodos. Se llevó a cabo un estudio de cohorte retrospectivo en 1 139 458 residentes en la provincia de Córdoba. Se construyeron modelos de regresión logística múltiple que relacionaron la vacunación con la infección por SARS-CoV-2 o la muerte por COVID-19, co…
Estudio de base poblacional de seroprevalencia y factores asociados a la infección por Sars-CoV-2 en Córdoba, Argentina
Los estudios seroepidemiológicos permiten conocer la distribución indirecta de las enfermedades, detectando marcadores séricos de inmunidad y demostrando infecciones no diagnosticadas en la población general. El objetivo fue estimar la seroprevalencia de anticuerpos contra el SARS-CoV-2, en Córdoba, Argentina, entre diciembre de 2020 y enero de 2021, e identificar factores asociados a la contagiosidad del virus. Se realizó un estudio observaciona…
Nutrition transition profiles and obesity burden in Argentina
Objective The present study aimed to identify nutrition transition (NT) profiles in Argentina (2005–2013) and assess their association with obesity in the adult population. Design A large cross-sectional study was performed considering data sets of nationally representative surveys. A multiple correspondence analysis coupled with hierarchical clustering was conducted to detect geographical clusters of association among sociodemographic and NT ind…
P1-13 Meat intake and urinary tract tumours risk assessment through promoting latent variables models
Introduction Generalize Linear Latent and Mixed Models are scarcely used in cancer epidemiology, having been basically used multilevel and generalised linear and mixed models. Using flexible models allow including random effects, common factors coupled to a multilevel structure for unobserved heterogeneity. Cancer is the main cause of death worldwide. In Córdoba, (Argentina) bladder cancer is the fourth most incident cancer among men and ninth in…
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P1-13 Meat intake and urinary tract tumours risk assessment through promoting latent variables models
Introduction Generalize Linear Latent and Mixed Models are scarcely used in cancer epidemiology, having been basically used multilevel and generalised linear and mixed models. Using flexible models allow including random effects, common factors coupled to a multilevel structure for unobserved heterogeneity. Cancer is the main cause of death worldwide. In Córdoba, (Argentina) bladder cancer is the fourth most incident cancer among men and ninth in…
Nutrition transition profiles and obesity burden in Argentina
Objective The present study aimed to identify nutrition transition (NT) profiles in Argentina (2005–2013) and assess their association with obesity in the adult population. Design A large cross-sectional study was performed considering data sets of nationally representative surveys. A multiple correspondence analysis coupled with hierarchical clustering was conducted to detect geographical clusters of association among sociodemographic and NT ind…
Sociodemographic disparities and contextual factors in obesity: Updated evidence from a National Survey of Risk Factors for Chronic Diseases
Objective: To assess the association of sociodemographic and environmental factors with the obesity occurrence in Argentina from a sex- and age-comparative perspective and a multilevel approach. Design: Cross-sectional study based on secondary data from the National Survey of Chronic Diseases Risk Factors (CDRF) 2018, Argentina. Two-level logistic regression models stratified by sex and age were used. Setting: The nationwide probabilistic sample …
Vacunación contra Sars-CoV-2 y su relación con enfermedad y muerte por Covid-19 en Argentina
Objetivo. Conocer la efectividad de la vacunación contra SARS-CoV-2 para prevenir el desarrollo de enfermedad y muerte por COVID-19 en Córdoba, Argentina, en el periodo enero-junio de 2021. Métodos. Se llevó a cabo un estudio de cohorte retrospectivo en 1 139 458 residentes en la provincia de Córdoba. Se construyeron modelos de regresión logística múltiple que relacionaron la vacunación con la infección por SARS-CoV-2 o la muerte por COVID-19, co…
Estudio de base poblacional de seroprevalencia y factores asociados a la infección por Sars-CoV-2 en Córdoba, Argentina
Los estudios seroepidemiológicos permiten conocer la distribución indirecta de las enfermedades, detectando marcadores séricos de inmunidad y demostrando infecciones no diagnosticadas en la población general. El objetivo fue estimar la seroprevalencia de anticuerpos contra el SARS-CoV-2, en Córdoba, Argentina, entre diciembre de 2020 y enero de 2021, e identificar factores asociados a la contagiosidad del virus. Se realizó un estudio observaciona…
Application of natural language processing for the recognition of obesity-related topics in the discourses of Argentine Twitter users
The global burden of obesity has risen due to various factors, including sociocultural aspects. Social representations (SRs) of obesity could help to understand the problem. Nowadays, social networks activate new social interaction processes and enable the construction of SRs. Tweets can identify mind-sets as cultural reflections of the times. This study aimed to identify widely shared obesity topics on Twitter-Argentina using Natural Language Pr…
Effect of ambient temperature on overweight: Direct and indirect pathways in a multiple mediation model
Global warming and obesity are two major global challenges. The intricate relationships between climate, lifestyle factors, and their combined impact on overweight remain to be fully elucidated. We aim to estimate the effect of ambient temperature on overweight and examine the role of physical activity and fruit/vegetable consumption as indirect mediating pathways in Argentina. This cross-sectional study was conducted using data from the 2018 Nat…
Medicine (6 works) · Obesity (4 works) · Disease (3 works) · Geography (3 works) · Internal Medicine (3 works) · Logistic regression (3 works) · COVID-19 Clinical Research Studies (2 works) · COVID-19 epidemiological studies (2 works) · Demography (2 works) · Demography (2 works)