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Arnold D. M. Kester

Researcher at Maastricht University

Publications -  156
Citations -  15313

Arnold D. M. Kester is an academic researcher from Maastricht University. The author has contributed to research in topics: Population & Randomized controlled trial. The author has an hindex of 63, co-authored 156 publications receiving 14538 citations. Previous affiliations of Arnold D. M. Kester include Maastricht University Medical Centre & Public Health Research Institute.

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Effects of dietary fatty acids and carbohydrates on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins: a meta-analysis of 60 controlled trials

TL;DR: The effects of dietary fats on total:HDL cholesterol may differ markedly from their effects on LDL, and the effects of fats on these risk markers should not in themselves be considered to reflect changes in risk but should be confirmed by prospective observational studies or clinical trials.
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Reduction of pain catastrophizing mediates the outcome of both physical and cognitive-behavioral treatment in chronic low back pain.

TL;DR: It is shown that treatment elements that do not deliberately target cognitive factors can reduce pain catastrophizing and internal control of pain, and reduces the improvement of functioning in patients with chronic low back pain.
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A new validated endurance performance test.

TL;DR: In this paper, the reproducibility of three different endurance performance tests was evaluated and it was concluded that reproducability of a test at 75% Wmax until exhaustion is poor and these tests are not reliable.
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Carpal tunnel syndrome: Prevalence in the general population

TL;DR: To study the prevalence of carpal tunnel syndrome in the general population and the value of brachialgia paraesthetica nocturna (BPN) in diagnosing CTS, an age and sex stratified random sample of 715 subjects was taken from the population register of Maastricht and surrounding villages between September 1983 and July 1985.
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A risk model for the prediction of recurrent falls in community-dwelling elderly: A prospective cohort study

TL;DR: A fall risk model converted to a "desk model," consisting of the predictors postural sway, fall history, hand dynamometry, and depression, provides added value in the identification of community-dwelling elderly at risk for recurrent falling and facilitates the prediction of recurrent falls.