Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study.
dc.contributor.author | Loef, Bette | |
dc.contributor.author | Herber, Gerrie-Cor M | |
dc.contributor.author | Wong, Albert | |
dc.contributor.author | Janssen, Nicole A H | |
dc.contributor.author | Hoekstra, Jurriaan | |
dc.contributor.author | Picavet, H Susan J | |
dc.contributor.author | Verschuren, W M Monique | |
dc.date.accessioned | 2023-02-28T08:27:26Z | |
dc.date.available | 2023-02-28T08:27:26Z | |
dc.date.issued | 2023-02-23 | |
dc.identifier.pmid | 36823523 | |
dc.identifier.doi | 10.1186/s12877-023-03789-2 | |
dc.identifier.uri | http://hdl.handle.net/10029/626484 | |
dc.description.abstract | The most important predictors of healthy physiological aging were overweight-related (BMI, waist circumference, waist/hip ratio) and cholesterol-related (using cholesterol lowering medication, HDL and total cholesterol) measures. Diet and educational level also ranked in the top of important exposures. No substantial differences were observed in the predictors of healthy physiological aging across generations. The final prediction model's performance was modest with an R2 of 17%. | en_US |
dc.language.iso | en | en_US |
dc.rights | © 2023. The Author(s). | |
dc.subject | Exposome | en_US |
dc.subject | Longitudinal study | en_US |
dc.subject | Physiological aging | en_US |
dc.subject | Prediction | en_US |
dc.title | Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study. | en_US |
dc.type | Article | en_US |
dc.identifier.eissn | 1471-2318 | |
dc.identifier.journal | BMC Geriatr 2023;23(1):107 | en_US |
dc.source.journaltitle | BMC geriatrics | |
dc.source.volume | 23 | |
dc.source.issue | 1 | |
dc.source.beginpage | 107 | |
dc.source.endpage | ||
dc.source.country | England |