Your English writing platform
Discover LudwigSuggestions(5)
Exact(6)
The health status of a population based sample of older people will be established and predictors of successful ageing determined.
Cross-sectional analysis of a population based sample of older Irish adults aged ≥60 years using data from The Irish Longitudinal Study on Ageing (TILDA) (N = 3,815).
The health status of a population based sample of older people has been established and over time predictors of successful ageing will be evaluated.
The aim of this study was to examine the relationship between an oscillometric measure of orthostatic hypotension and depression in population based sample of older adults.
In this study we validated the results of randomised controlled trials among a large population based sample of older patients, suggesting that increased used of chemotherapy in this population may improve survival outcomes.
In this large, cross sectional population based sample of older participants (mean age 69) we found that any lifetime history of severe headaches was associated with an increased risk of higher volumes of total, deep, and periventricular white matter hyperintensity.
Similar(54)
Nielsen calculates a network's overall viewership based on a sampling of about 13,000 households nationally.
It is particularly important to investigate LIPA in population based samples of older adults, because of the high proportion of time spent in light activity.
Since it is virtually impossible to validate the various eGFRs in large population based samples of oldest old people by measuring GFR, for example by creatinine or inulin clearance, it is of great importance to determine the best measure of GFR in older people.
In a more recent study examining ethnic differences in the rate of insomnia symptoms from a community-based sample of older White (40%) and Black (60%) Americans, we found that ethnicity was the best predictor of sleep disturbances [ 5].
To estimate the prevalence of depression in a population-based sample of older adults, and to identify the individual profile of people who received depression treatment.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com