Corrigendum: The effects of pre-obesity on quality of life, disease activity, and functional status in patients with ankylosing spondylitis

Toy, Şeyma

doi:10.14744/nci.2021.15428

Cited by 7 publications

(9 citation statements)

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“…While it is known that a higher BMI correlates with a greater burden of symptoms in patients with AS,35 the role of adiposity in the QoL of patients with AS has not been widely investigated. Toy and colleagues36 reported in their study that while all of the SF-36 QoL criteria were significantly lower in the preobese patients with AS compared with healthy controls, no significant relationships were observed between patients with AS whose BMI was between 27.1 and 29.9 and those whose BMI was in the range of 25–27. The underlying link between low social participation QoL and obesity observed in the present study will require further investigation, in particular whether the relationship is mediated through obesity-related body image dissatisfaction or physical immobility 37.…”

Section: Discussionmentioning

confidence: 88%

Factors associated with disease-specific quality of life in Taiwanese patients with ankylosing spondylitis: a cross-sectional study

Huang

Tung³

et al. 2019

BMJ Open

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ObjectiveThe aim of this study was to assess the factors associated with disease-specific quality of life in Taiwanese patients with ankylosing spondylitis.DesignA cross-sectional study.SettingA regional teaching hospital in southern Taiwan.ParticipantsAdult patients with ankylosing spondylitis recruited from the outpatient rheumatology clinics of the study hospital.Primary outcome measureDisease-specific quality of life assessed by the Evaluation of Ankylosing Spondylitis Quality of Life (EASi-QoL).ResultsOf the 265 patients, 57% were 20–49 years of age, with a male preponderance (75.5%). Multiple stepwise linear regression analysis indicated that a higher disease activity, assessed by the Ankylosing Spondylitis Disease Activity Score, was significantly and independently associated with a lower quality of life in all four domains (physical function, disease activity, emotional well-being and social participation) of the EASi-QoL. In addition, various independent factors, including educational level, nature of occupation, disease duration, dietary habit and body mass index, were significantly associated with different domains of the EASi-QoL.ConclusionsOur findings indicated that, in addition to disease activity and perceived health status, a number of other factors could significantly impact the different aspects of quality of life in patients with ankylosing spondylitis, which warrant special consideration and support from healthcare providers.

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Section: Discussionmentioning

confidence: 88%

Factors associated with disease-specific quality of life in Taiwanese patients with ankylosing spondylitis: a cross-sectional study

Huang

Tung³

et al. 2019

BMJ Open

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“…The 11 studies included in the qualitative assessment were thoroughly examined to identify the type of publication (full text or conference abstract), design, number of participants, definition of population, exposure, and outcome (10,11,(24)(25)(26)(27)(28)(29)(30)(31)(32). The results of data extraction are shown in Table 1.…”

Section: Study Characteristicsmentioning

confidence: 99%

“…In the 1 case-control study, the comparison was only between normal and overweight patients, whereas obese patients were not included (32). All studies consistently presented the BASDAI mean value with SD and/or 95% confidence intervals (95% CIs).…”

Section: Study Characteristicsmentioning

confidence: 99%

“…According to the NOS criteria for cross-sectional studies, 1 study was satisfactory, 2 were good, and 4 very good. The only casecontrol study was deemed unsatisfactory according to the NOS criteria for case-control studies, and thus it was not included in the meta-analysis (32). The main reason why cohort did not achieve the top scores was the lack of description on how BMI was calculated (e.g., self-reported weight and height).…”

Section: Study Characteristicsmentioning

confidence: 99%

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Do Obesity and Overweight Influence Disease Activity Measures in Axial Spondyloarthritis? A Systematic Review and Meta‐Analysis

Ortolan

Lorenzin

Felicetti

et al. 2021

Arthritis Care & Research

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The aim of our systematic review and meta-analysis was to investigate whether overweight/obesity are associated with higher disease activity measures in patients with axial spondyloarthritis (SpA).Methods. MEDLINE, PubMed, and Web of Science were searched using key terms corresponding to population (axial SpA patients), exposure (overweight/obesity), and outcome (Bath Ankylosing Spondylitis Disease Activity Index [BASDAI] and Ankylosing Spondylitis Disease Activity Score [ASDAS]). Predefined inclusion criteria were adult patients with axial SpA, exposure classified according to body mass index (BMI), BASDAI/ASDAS reported for each BMI group, and observational studies. The Newcastle-Ottawa Scale for cohort, cross-sectional, and case-control studies was used for quality check. Random-effects meta-analysis was used to pool results, which were expressed as the mean difference (MD) in BASDAI and ASDAS between BMI groups, with 95% confidence intervals (95% CIs).Results. A total of 10 articles were included in the meta-analysis. The MD in BASDAI between normal BMI and overweight/obese patients was -0.38 (95% CI -0.56, -0.21; P < 0.0001); the MD in ASDAS between the same groups was -0.19 (95% CI -0.29, -0.09; P < 0.0001). The MD in BASDAI between normal BMI and overweight patients was -0.09 (95% CI -0.33, 0.15; P = 0.45), and the MD between normal BMI and obese patients was -0.78 (95% CI -1.07, -0.48; P < 0.0001). For ASDAS, the MD between normal BMI and overweight patients was -0.02 (95% CI -0.19, 0.15; P = 0.79), and the MD between normal BMI and obese patients was -0.42 (95% CI -0.60, -0.23; P < 0.0001).Conclusion. Overweight and obese patients with axial SpA tend to present higher disease activity scores compared to patients with a normal BMI. This difference seems to be clinically meaningful only for the comparison between obese patients and patients with normal BMI, and more for BASDAI than ASDAS.

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“…In general, women with PsA report higher self-assessed disease activity scores compared to men 18,19,20,21,22 . Additionally, obesity has been associated with less favorable PRO in patients with axial spondylo arthritis (axSpA) 23,24,25,26 . The influence of contextual factors, such as sociodemographics and comorbidities, on PRO is not well understood in PsA 22,27,28,29 .…”

mentioning

confidence: 99%

Measuring Outcomes in Psoriatic Arthritis: Comparing Routine Assessment of Patient Index Data and Psoriatic Arthritis Impact of Disease

et al. 2019

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Objective To examine the construct validity of Routine Assessment of Patient Index Data (RAPID3) and Psoriatic Arthritis Impact of Disease (PSAID) in patients with psoriatic arthritis (PsA). In examining construct validity, we also addressed scores among subgroups with severe psoriasis, polyarticular disease, enthesitis and dactylitis and evaluated influences of sociodemographic factors and comorbidities (contextual factors) on these patient-reported outcomes (PROs). Methods Patients with PsA were enrolled in the Psoriatic Arthritis Research Consortium (PARC) between 2014-2016. PARC is a longitudinal observational cohort study conducted at four United States institutions. In this cross-sectional study, construct validity was assessed by examining Spearman’s correlation coefficients for RAPID3 and PSAID with physician-reported disease activity measures and other PROs (e.g., Short Form 12 (SF12-PCS/-MCS), Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue). Contextual factors and disease subgroups were assessed in multivariable linear regression models with RAPID3 or PSAID12 as outcomes of interest and the hypothesized contextual factors as covariates. Results Among 401 patients enrolled in PARC, 347 completed RAPID3 or PSAID12. Of these, most were Caucasian females with a mean age of 51.74 (SD 14.02). RAPID3 and PSAID were highly correlated (r=0.90). These measures were also correlated with the SF12-PCS (r=-0.67) and FACIT-Fatigue (r=-0.77). Important contextual factors and disease subgroups included enthesitis, joint counts, education, insurance type, and depression. Conclusion RAPID3 and PSAID12 have excellent construct validity in PsA and are strongly correlated despite differing items. Contextual factors (i.e., the presence of depression and obesity) should be considered when interpreting raw scores of the RAPID3 and PSAID12.

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Corrigendum: The effects of pre-obesity on quality of life, disease activity, and functional status in patients with ankylosing spondylitis

Cited by 7 publications

References 0 publications

Factors associated with disease-specific quality of life in Taiwanese patients with ankylosing spondylitis: a cross-sectional study

Factors associated with disease-specific quality of life in Taiwanese patients with ankylosing spondylitis: a cross-sectional study

Do Obesity and Overweight Influence Disease Activity Measures in Axial Spondyloarthritis? A Systematic Review and Meta‐Analysis

Measuring Outcomes in Psoriatic Arthritis: Comparing Routine Assessment of Patient Index Data and Psoriatic Arthritis Impact of Disease

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