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@ARTICLE{Paul:304430,
      author       = {C. Paul and B. Schöttker$^*$ and H. Brenner$^*$ and B.
                      Holleczek and H.-C. Friederich and B. Wild},
      title        = {{P}redictors of health-related quality of life in older
                      adults over a course of twelve years - {R}esults from a
                      large population-based study using a machine learning
                      approach.},
      journal      = {International psychogeriatrics},
      volume       = {nn},
      issn         = {1041-6102},
      address      = {Cambridge},
      publisher    = {Cambridge Univ. Press},
      reportid     = {DKFZ-2025-01843},
      pages        = {nn},
      year         = {2025},
      note         = {epub},
      abstract     = {The proportion of older people is growing dramatically,
                      implying that predictors of health-related quality of life
                      (HRQoL) in older adults are of major interest within public
                      health research.Analyses were based on the ESTHER study, a
                      German population-based cohort study conducted in the
                      federal state of Saarland, Germany. The study was initiated
                      in 2000-2002 and included 9940 community-dwelling older
                      adults recruited via general practioners. At the 8-year
                      follow-up (2008-2010), 6071 active participants were offered
                      additional home visits, of whom 3124 agreed to participate.
                      These 3124 participants (mean age (SD) 69.6 (6.3) years;
                      52.6 $\%$ female) served as baseline sample for our
                      analysis. Predictions were made at 3-year intervals up to 12
                      years (20-year follow-up; 2020-2021, n = 1438). Physical and
                      mental HRQoL was assessed using the Short Form Health Survey
                      (SF-12). 47 features were investigated. Random forest
                      regression was used to identify the most important
                      predictors.Physical HRQoL was predictable up to 6 years,
                      with top 5 predictors being: somatic symptom burden,
                      bio-psycho-social (BPS) health care needs, frailty, age, and
                      BMI class. For mental HRQoL, predictors consistently ranging
                      among the top 5 across all time intervals were: somatic
                      symptom burden, BPS health care needs, symptoms of
                      depression, and symptoms of anxiety. There appeared to be a
                      time-dependent shift in key predictors of mental HRQoL, with
                      symptoms of depression and anxiety being most important in
                      short-term, while somatic symtom burden and BPS health care
                      needs were most important in long-term.Somatic symptom
                      burden and bio-psycho-social health care needs emerged as
                      key predictors of both, physical and mental HRQoL in older
                      adults. These variables may be important to consider when
                      developing future interventions aimed to improve HRQoL in
                      older adults, and could also be relevant for policies
                      concerned with successful aging.},
      keywords     = {Bio-psycho-social health care needs (Other) /
                      Health-related quality of life (Other) / Longitudinal study
                      (Other) / Machine learning (Other) / Older Adults (Other) /
                      Random forest (Other)},
      cin          = {C070},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40908200},
      doi          = {10.1016/j.inpsyc.2025.100141},
      url          = {https://inrepo02.dkfz.de/record/304430},
}