Publications by authors named "Pernille Hulst"
Article Synopsis
- This text notes a correction to an article with the DOI: 10.2196/35696.
- The correction likely addresses specific errors or updates in the original publication.
- Understanding this correction is important for maintaining the integrity of the research and the accuracy of information in academic discourse.
Background: Individual differences in the rate of aging and susceptibility to disease are not accounted for by chronological age alone. These individual differences are better explained by biological age, which may be estimated by biomarker prediction models. In the light of the aging demographics of the global population and the increase in lifestyle-related morbidities, it is interesting to invent a new biological age model to be used for health promotion.
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- * The research is structured in three phases: gathering data from a cross-section of healthy individuals, calculating biological age through principal component analysis, and testing the model on overweight adults in a lifestyle intervention program.
- * Preliminary results are promising, and ongoing efforts aim to refine the model, with plans for larger-scale validation to confirm its effectiveness as an indicator of health risks.