title: Application of person-centered analytic methodology in longitudinal research: exemplars from the Women's Health Initiative Clinical Trial data.
abstract: Despite the variety of available analytic methods, longitudinal research in nursing has been dominated by use of a variable-centered analytic approach. The purpose of this article is to present the utility of person-centered methodology using a large cohort of American women 65 and older enrolled in the Women's Health Initiative Clinical Trial (N = 19,891). Four distinct trajectories of energy/fatigue scores were identified. Levels of fatigue were closely linked to age, socio-demographic factors, comorbidities, health behaviors, and poor sleep quality. These findings were consistent regardless of the methodological framework. Finally, we demonstrated that energy/fatigue levels predicted future hospitalization in non-disabled elderly. Person-centered methods provide unique opportunities to explore and statistically model the effects of longitudinal heterogeneity within a population.
authors: Department of Nursing, University of Haifa-Israel, Mt. Carmel, Haifa, 31905, Israel.
authors: Oleg
authors: O
authors: Zaslavsky
authors: Barbara B
authors: BB
authors: Cochrane
authors: Jerald R
authors: JR
authors: Herting
authors: Hilaire J
authors: HJ
authors: Thompson
authors: Nancy F
authors: NF
authors: Woods
authors: Andrea
authors: A
authors: Lacroix
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000428:Alcohol Drinking / Q000453:epidemiology; D015331:Cohort Studies; D015897:Comorbidity; D003863:Depression / Q000453:epidemiology; D005221:Fatigue / Q000453:epidemiology*; D005260:Female; D005544:Forecasting; D015438:Health Behavior; D006760:Hospitalization / Q000706:statistics & numerical data* / Q000639:trends; D006801:Humans; D016015:Logistic Models; D008137:Longitudinal Studies / Q000379:methods*; D015233:Models, Statistical; D015399:Nursing Research / Q000379:methods*; D018802:Patient-Centered Care / Q000706:statistics & numerical data*; D012893:Sleep Wake Disorders / Q000453:epidemiology; D012959:Socioeconomic Factors; D014481:United States; D016387:Women's Health / Q000706:statistics & numerical data*
keywords: fatigue; latent class growth model; longitudinal studies; older adults; person-centered analysis; women's health initiative