Valéria Lima Passos
Biographic Data
| ID | 1731854 |
|---|---|
| NAME | Valéria Lima Passos |
| GIVEN NAMES | Valéria Lima |
| FAMILY NAME | Passos |
| SIGNATURE | PASSOS V L |
| AFFILIATIONS | Maastricht University |
| ORCID | 0000-0003-0580-6639 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Joint Trajectories of Performance-Based and Self-Reported Physical Functioning in Older Adults
Background The well-known disablement process has been conceptualized as a series of transitions between progressive states of functional decline. We studied joint patterns of change within disablement states defined as walking speed, grip strength, and self-reported disability. Methods 1702 participants aged 65 and over were included from the Longitudinal Aging Study Amsterdam, spanning seven waves over 20 years (1996–2016). Group-based multi-tr…
Longitudinal associations of light-intensity physical activity with quality of life, functioning and fatigue after colorectal cancer
Higher levels of LPA were longitudinally associated with better HRQoL and less fatigue in CRC survivors up to two years post-treatment. Further prospective studies using accelerometer data are necessary to inform development of interventions targeting LPA
Dynamic, data-driven typologies of long-term smoking, cessation, and their correlates
Group-based multi-trajectory modeling
Identifying and monitoring multiple disease biomarkers and other clinically important factors affecting the course of a disease, behavior or health status is of great clinical relevance. Yet conventional statistical practice generally falls far short of taking full advantage of the information available in multivariate longitudinal data for tracking the course of the outcome of interest. We demonstrate a method called multi-trajectory modeling th…
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Group-based multi-trajectory modeling
Identifying and monitoring multiple disease biomarkers and other clinically important factors affecting the course of a disease, behavior or health status is of great clinical relevance. Yet conventional statistical practice generally falls far short of taking full advantage of the information available in multivariate longitudinal data for tracking the course of the outcome of interest. We demonstrate a method called multi-trajectory modeling th…
Dynamic, data-driven typologies of long-term smoking, cessation, and their correlates
Longitudinal associations of light-intensity physical activity with quality of life, functioning and fatigue after colorectal cancer
Higher levels of LPA were longitudinally associated with better HRQoL and less fatigue in CRC survivors up to two years post-treatment. Further prospective studies using accelerometer data are necessary to inform development of interventions targeting LPA
Joint Trajectories of Performance-Based and Self-Reported Physical Functioning in Older Adults
Background The well-known disablement process has been conceptualized as a series of transitions between progressive states of functional decline. We studied joint patterns of change within disablement states defined as walking speed, grip strength, and self-reported disability. Methods 1702 participants aged 65 and over were included from the Longitudinal Aging Study Amsterdam, spanning seven waves over 20 years (1996–2016). Group-based multi-tr…
Medicine (3 works) · Psychology (3 works) · Cohort (2 works) · Cohort study (2 works) · Demography (2 works) · Demography (2 works) · Gerontology (2 works) · Longitudinal study (2 works) · Physical therapy (2 works) · Psychiatry (2 works)