Applying latent profile analysis to identify adolescents and young adults with chronic conditions at risk for poor health-related quality of life-Reference-Cited by-同舟云学术

Applying latent profile analysis to identify adolescents and young adults with chronic conditions at risk for poor health-related quality of life

Author:

Wang Suwei¹,Arizmendi Cara J.¹,Chen Dandan¹,Lin Li¹,Blalock Dan V.²³,Huang I-Chan⁴,Thissen David⁵,DeWalt Darren A.⁶,Pan Wei¹⁷,Reeve Bryce B.¹⁸

Affiliation:

1. Center for Health Measurement, Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA

2. Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA

3. Health Services Research & Development, Durham Veterans Affairs Medical Center, Durham, North Carolina, USA

4. Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA

5. Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

6. Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

7. Division of Clinical Health Systems and Analytics in the School of Nursing, Duke University, Durham, North Carolina, USA

8. Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA

Funder

AstraZeneca

United States Department of Veterans Affairs Health Services Research and Development (HSR&D) Service

Takeda Pharmaceuticals U.S.A

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

Reference54 articles.

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