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Oosterveer DM, van Meijeren-Pont W, Arwert H, Terwee CB, Vliet Vlieland TP. The psychometric properties of the PROMIS® profile CAT in people with stroke. Top Stroke Rehabil 2024:1-7. [PMID: 38334131 DOI: 10.1080/10749357.2024.2312642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/27/2024] [Indexed: 02/10/2024]
Abstract
BACKGROUND The Patient-Reported Outcomes Measurement Information System® (PROMIS) Profile Computer Adaptive Testing (CAT) consists of seven CATs and one single item measuring most relevant aspects of health-related quality of life (HRQoL). The aim of our study was to determine construct validity and floor and ceiling effects of the PROMIS Profile CAT in Dutch people with stroke. METHODS People with stroke receiving rehabilitation completed the PROMIS Profile CAT and the EuroQol-5 dimensions (EQ5D). Construct validity was evaluated with hypotheses testing based on expected correlations between the profile domains and the domains of the EQ5D. The proportion of participants with the lowest and highest scores were calculated for each profile domain to assess floor and ceiling effects. RESULTS 160 participants were included (median age 61 years, 41.9% female). For the PROMIS Profile domains Physical Function, Anxiety, Depression, Sleep Disturbance, Pain Interference, and Pain Intensity > 75% of the results met our hypotheses. For Fatigue and Ability to Participate in Social Roles and Activities only 60% of hypotheses were met. No floor or ceiling effects were found, with the exception of a floor effect for Pain Intensity which probably indicates that many participants had no pain. CONCLUSION Most domains of the PROMIS Profile CAT showed sufficient construct validity and no problematic floor or ceiling effects in people with stroke. These CATs and the single item Pain Intensity can be used to efficiently measure HRQoL in people with stroke.
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Affiliation(s)
- Daniëlla M Oosterveer
- Basalt, Leiden/The Hague, The Netherlands
- Department of Orthopaedics, Rehabilitation and Physical Therapy, Leiden University Medical Center, Leiden, The Netherlands
- Department of Rehabilitation, Alrijne Hospital, Leiden, The Netherlands
| | - Winke van Meijeren-Pont
- Basalt, Leiden/The Hague, The Netherlands
- Department of Orthopaedics, Rehabilitation and Physical Therapy, Leiden University Medical Center, Leiden, The Netherlands
| | - Henk Arwert
- Basalt, Leiden/The Hague, The Netherlands
- Haaglanden Medical Center, Department of Rehabilitation, The Hague, The Netherlands
| | - Caroline B Terwee
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute - Methodology, Amsterdam, The Netherlands
| | - Thea Pm Vliet Vlieland
- Basalt, Leiden/The Hague, The Netherlands
- Department of Orthopaedics, Rehabilitation and Physical Therapy, Leiden University Medical Center, Leiden, The Netherlands
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Zhou Q, Ding Y, Chen X, Wang S, Lin H, He N. Association of Insomnia, Sleep Quality, and Sleep Duration With Risk of Physical Frailty in Middle-aged and Older People With HIV. Open Forum Infect Dis 2023; 10:ofad566. [PMID: 38033984 PMCID: PMC10686336 DOI: 10.1093/ofid/ofad566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/09/2023] [Indexed: 12/02/2023] Open
Abstract
Background Frailty is one of the major concerns among aging people with HIV (PWH). Evidence regarding the association between sleep disorders and physical frailty in PWH is limited. Methods PWH and HIV-negative individuals aged ≥40 years were included and frequency-matched in a 1:2 ratio by sex and age. Logistic regression models were used to estimate the odds ratios (ORs) and 95% CIs of the association between sleep disorders and physical frailty, and restricted cubic splines were used to describe the dose-response association. The contribution of depression to the association was estimated by mediation analysis. Results A total of 1526 PWH and 3052 HIV-negative individuals were included. Logistic regression indicated that insomnia (OR, 3.05; 95% CI, 1.63-5.72) and poor sleep quality (OR, 2.32; 95% CI, 1.21-4.45) were significantly associated with physical frailty in middle-aged and older PWH, especially in those with current CD4+ T-cell counts <350 cells/µL, but not in HIV-negative participants. A U-shaped and J-shaped dose-response relation between sleep duration and physical frailty was observed in PWH and HIV-negative participants, respectively. Shorter and longer sleep duration was associated with an increased risk of physical frailty in PWH. However, in HIV-negative participants, only longer sleep duration was associated with physical frailty. Mediation analysis revealed that depression mediated the relation between sleep disorders and frailty among PWH. Conclusions Sleep disorders including insomnia, poor sleep quality, and short and long sleep duration were significantly associated with physical frailty among middle-aged and older PWH. Depression may play a mediating role in the sleep-frailty association.
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Affiliation(s)
- Qionggui Zhou
- Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Yi-Wu Research Institute, Fudan University, Shanghai, China
- Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China
| | - Yingying Ding
- Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Yi-Wu Research Institute, Fudan University, Shanghai, China
| | - Xiaoxiao Chen
- Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Taizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China
| | - Shanling Wang
- Taizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China
| | - Haijiang Lin
- Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Taizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China
| | - Na He
- Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Yi-Wu Research Institute, Fudan University, Shanghai, China
- Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China
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