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Long-term multimorbidity trajectories in older adults: The role of cancer, demographics, and health behaviors.
Rees-Punia, Erika; Masters, Matthew; Teras, Lauren R; Leach, Corinne R; Williams, Grant R; Newton, Christina C; Diver, W Ryan; Patel, Alpa V; Parsons, Helen M.
Affiliation
  • Rees-Punia E; Department of Population Science, American Cancer Society, Atlanta, Georgia, USA.
  • Masters M; Department of Population Science, American Cancer Society, Atlanta, Georgia, USA.
  • Teras LR; Department of Population Science, American Cancer Society, Atlanta, Georgia, USA.
  • Leach CR; Center for Digital Health, Moffitt Cancer Center, Tampa, Florida, USA.
  • Williams GR; Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Newton CC; Department of Population Science, American Cancer Society, Atlanta, Georgia, USA.
  • Diver WR; Department of Population Science, American Cancer Society, Atlanta, Georgia, USA.
  • Patel AV; Department of Population Science, American Cancer Society, Atlanta, Georgia, USA.
  • Parsons HM; Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
Cancer ; 130(2): 312-321, 2024 01.
Article de En | MEDLINE | ID: mdl-37837241
BACKGROUND: Multimorbidity is associated with premature mortality and excess health care costs. The burden of multimorbidity is highest among patients with cancer, yet trends and determinants of multimorbidity over time are poorly understood. METHODS: Via Medicare claims linked to Cancer Prevention Study II data, group-based trajectory modeling was used to compare National Cancer Institute comorbidity index score trends for cancer survivors and older adults without a cancer history. Among cancer survivors, multinomial logistic regression analyses evaluated associations between demographics, health behaviors, and comorbidity trajectories. RESULTS: In 82,754 participants (mean age, 71.6 years [SD, 5.1 years]; 56.9% female), cancer survivors (n = 11,265) were more likely than older adults without a cancer history to experience the riskiest comorbidity trajectories: (1) steady, high comorbidity scores (remain high; odds ratio [OR], 1.36; 95% CI, 1.29-1.45), and (2) high scores that increased over time (start high and increase; OR, 1.51; 95% CI, 1.38-1.65). Cancer survivors who were physically active postdiagnosis were less likely to fall into these two trajectories (OR, 0.73; 95% CI, 0.64-0.84, remain high; OR, 0.42; 95% CI, 0.33-0.53, start high and increase) compared to inactive survivors. Cancer survivors with obesity were more likely to have a trajectory that started high and increased (OR, 2.83; 95% CI, 2.32-3.45 vs. normal weight), although being physically active offset some obesity-related risk. Cancer survivors who smoked postdiagnosis were also six times more likely to have trajectories that started high and increased (OR, 6.86; 95% CI, 4.41-10.66 vs. never smokers). CONCLUSIONS: Older cancer survivors are more likely to have multiple comorbidities accumulated at a faster pace than older adults without a history of cancer. Weight management, physical activity, and smoking avoidance postdiagnosis may attenuate that trend.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Multimorbidité / Tumeurs Limites: Aged / Female / Humans / Male Pays/Région comme sujet: America do norte Langue: En Journal: Cancer Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Multimorbidité / Tumeurs Limites: Aged / Female / Humans / Male Pays/Région comme sujet: America do norte Langue: En Journal: Cancer Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique