Beatriz Lepage
Biographic Data
| ID | 1358490 |
|---|---|
| NAME | Beatriz Lepage |
| GIVEN NAMES | Beatriz |
| FAMILY NAME | Lepage |
| SIGNATURE | LEPAGE B |
| AFFILIATIONS | Université Toulouse III - Paul Sabatier |
| ORCID | 0000-0002-1586-2055 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1988 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Contribution of Structure Learning Algorithms in Social Epidemiology
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growing wealth of techniques for data analysis, such as machine learning. Critical aspects involve addressing causality, often based on observational data, and dealing with the complex relationships between variables to uncover the overall structure of variable interactions, causal or not. Structure learning (SL) methods aim to automatically or semi-aut…
Special Report
Funded by the European Commission Horizon2020 programme, the Lifepath research consortium aimed to understand the impacts of socioeconomic inequalities on the biology of healthy ageing. The main research questions included the impact of inequalities on health, the role of behavioural and other risk factors, the underlying biological mechanisms, the efficacy of selected policies, and the general implications of our findings for theories and polici…
Mechanisms of life-course socioeconomic inequalities in adult systemic inflammation
The early life nutritional environment and early life stress as potential pathways towards the metabolic syndrome in mid-life? A lifecourse analysis using the 1958 British Birth cohort
The early nutritional environment, represented by mother's pre-pregnancy BMI, was associated with the risk of MetS in midlife. An important mechanism involves a mother-to-child BMI transmission, independent of birth or perinatal conditions, socioeconomic characteristics and health behaviors over the lifecourse. However this mechanism is not sufficient for explaining the influence of mother's pre-pregnancy BMI which implies the need to further exp…
Childhood adversity as a risk for cancer
These findings suggest that cancer risk may be influenced by exposure to stressful conditions and events early on in life. This is potentially important in furthering our understanding of cancer aetiology, and consequently in redirecting scientific research and developing appropriate prevention policies
SRH and HrQOL
Both SRH and HRQoL were lower among those reporting functional limitations or chronic low back pain. However, the change varied according SEP and the measure. In relative term, the negative impact of a given health condition seems to be greater on SRH and lower on HRQoL for people with higher SEP in comparison with people with low SEP. Using SRH could thus decrease socioeconomic differences. In contrast using HRQoL could increase these difference…
Do general practitioners overestimate the health of their patients with lower education
Personality dimensions through the schizophrenia borderline
While the schizoid dimension of personality has often been thought to be unitary, it has recently been suggested that several dimensions may be involved. In this study two separately derived normal population personality scales from within the psychoticism domain, the Rust Inventory of Schizotypal Cognitions (RISC), a scale designed to measure the positive cognitive schizotypal dimension, and the Eysencks' P scale from within the Eysenck Personal…
Personality dimensions through the schizophrenia borderline
While the schizoid dimension of personality has often been thought to be unitary, it has recently been suggested that several dimensions may be involved. In this study two separately derived normal population personality scales from within the psychoticism domain, the Rust Inventory of Schizotypal Cognitions (RISC), a scale designed to measure the positive cognitive schizotypal dimension, and the Eysencks' P scale from within the Eysenck Personal…
Do general practitioners overestimate the health of their patients with lower education
SRH and HrQOL
Both SRH and HRQoL were lower among those reporting functional limitations or chronic low back pain. However, the change varied according SEP and the measure. In relative term, the negative impact of a given health condition seems to be greater on SRH and lower on HRQoL for people with higher SEP in comparison with people with low SEP. Using SRH could thus decrease socioeconomic differences. In contrast using HRQoL could increase these difference…
Childhood adversity as a risk for cancer
These findings suggest that cancer risk may be influenced by exposure to stressful conditions and events early on in life. This is potentially important in furthering our understanding of cancer aetiology, and consequently in redirecting scientific research and developing appropriate prevention policies
The early life nutritional environment and early life stress as potential pathways towards the metabolic syndrome in mid-life? A lifecourse analysis using the 1958 British Birth cohort
The early nutritional environment, represented by mother's pre-pregnancy BMI, was associated with the risk of MetS in midlife. An important mechanism involves a mother-to-child BMI transmission, independent of birth or perinatal conditions, socioeconomic characteristics and health behaviors over the lifecourse. However this mechanism is not sufficient for explaining the influence of mother's pre-pregnancy BMI which implies the need to further exp…
Special Report
Funded by the European Commission Horizon2020 programme, the Lifepath research consortium aimed to understand the impacts of socioeconomic inequalities on the biology of healthy ageing. The main research questions included the impact of inequalities on health, the role of behavioural and other risk factors, the underlying biological mechanisms, the efficacy of selected policies, and the general implications of our findings for theories and polici…
Mechanisms of life-course socioeconomic inequalities in adult systemic inflammation
Contribution of Structure Learning Algorithms in Social Epidemiology
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growing wealth of techniques for data analysis, such as machine learning. Critical aspects involve addressing causality, often based on observational data, and dealing with the complex relationships between variables to uncover the overall structure of variable interactions, causal or not. Structure learning (SL) methods aim to automatically or semi-aut…
Medicine (7 works) · Environmental health (5 works) · Gerontology (5 works) · Population (5 works) · Demography (4 works) · Demography (4 works) · Socioeconomic status (4 works) · Birth, Development, and Health (3 works) · Cohort study (3 works) · Health disparities and outcomes (3 works)