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. 2022 Jul 11;5(7):e2219636. doi: 10.1001/jamanetworkopen.2022.19636

Table. Characteristics of Reviewed Studies.

Source Country Design Patients analyzed, No. Data collection Follow-up, mo Baseline age, y Patients, No./Total No. (%) Analysis Factors measured Outcome measured
Female Male
Berghmans et al,37 2019a Netherlands PC 146 NA 3 Mean, 66.4 79/150 (53) 71/150 (47) Stepwise multiple linear regression Mental health (SF-36), physical function (WOMAC), knee stiffness (WOMAC) WOMAC
Lindner et al,34 2018 Germany PC 61 NA 3 Mean, 67 37/61 (61) 24/61 (39) Stepwise multiple linear regression Pain (WOMAC) WOMAC
Lingard et al,23 2007a UK, US, Canada, Australia PC 676 1997-1999 3 Distress:
median, 70
574/676 (85) 102/ 676 (15) Repeated measures Psychological distress (SF-36) WOMAC
Nondistress:
median, 71
Luo et al,39 2019 China PC 471 2017-2018 3 Mean, 64.3 357/471 (76) 114/471 (24) Pearson correlation Sleep dysfunction (PSQI), daytime sleepiness (ESS), sleep quality (self-developed scale [0-10]) KSS
Bugada et al,29 2017 Italy PC 563 2012-2015 6 Median, 72 421/606 (69) 185/606 (31) Logistic regression Comorbidity (ASA Physical Status Classification System) NRS
Engel et al,36 2004 US PC 54 NA 6 Mean, 68 26/74 (49%) 28 /74 (51) Multiple hierarchical regression AHI WOMAC
Escobar et al,30 2007 Spain PC 640 1999-2000 6 Mean, 72 473/471 (74%) 167/471 (26) General linear model Age (y), sex (men/women), social support (yes/no), comorbidity (CCI), physical function (WOMAC), low back pain (yes/no), mental health (SF-36) WOMAC
Hylkema et al,35 2019 US PC 131 2012-2014 6 Mean, 61 114/ 183 (62) 69/ 183 (38) Univariate linear regression Pain catastrophizing (PCS) WPAI:SHP
Oka et al,40 2020 Japan PC 82 2017-2019 6 Mean, 72.1 67/82 (82) 15/82 (18) Multiple linear regression Sedentary behavior (MET) New KSS
Pua et al,31 2019 Singapore PC 4026 2013-2017 6 Mean, 68 3003/4026 (75) 1026/4026 (25) Proportional odds ordinal regression Age (y), sex (men/women), BMI, education (primary, secondary, tertiary), ethnicity (Chinese, Indian, Malay, other), social support (yes/no), comorbidities (yes/no) contralateral knee pain (KSS), pain (OKQ), knee extension and flexion (goniometer), physical function (categories), depression (SF-36) OKQ
Sugawara et al,32 2017 Japan PC 59 2011-2012 6 Mean, 75 53/59 (90) 6/59 (10) Stepwise multiple regression TSLS JKOM
Taniguchi et al,33 2016 Japan PC 81 2013-2014 6 Mean, 72 73/81 (90) 8/81 (10) Multiple linear regression TUG TUG
Yang et al,41 2019 US PC 107 2010-2011 6 Mean, 65 55/107 (51) 42/107 (49) Multivariate logistic regression Mental health (SF-36), pain catastrophizing (PCS), comorbidity (CCI), use device (yes/no) WOMAC
Berghmans et al,37 2019a Netherlands PC 144 NA 12 Mean, 66.4 79/150 (53) 71/150 (47) Stepwise multiple linear regression Physical function (WOMAC), knee function (KSS) WOMAC
Dowsey et al,222012 Australia PC 473 2006-2007 12 Mean, 71 331/478 (69) 142/478 (31) Multivariate linear regression Age (y), sex (men/women), BMI, comorbidity (CCI), pain (IKSS), physical function (IKSS), mental health (SF-12), K-L grade, cruciate retaining, patella resurface, multicompartment OA IKSS
Lindberg et al,38 2020 Norway PC 182 2012-2014 12 Mean, 67 124/ 182 (68) 58/182 (32) Multivariate logistic regression Age (y), sex (men/women), pain (BPI), lack of energy, drowsiness, sleeping difficulties, bloating, worrying, sexuality problems (MSAS-SF) BPI
Lingard et al,23 2007a UK, US, Canada, Australia PC 676 1997-1999 12 Distress:
median, 70
574/676 (85) 102/ 676 (15) Logistic regression Psychological distress (SF-36) WOMAC
Nondistress:
median, 71
Nankaku et al,24 2018 Japan PC 115 2013-2015 12 Mean, 71 99/115 (86) 16/115 (14) Stepwise multiple regression Age (y), physical function (KSS), TUG KSS
Sullivan et al,252011 Canada PC 120 NA 12 Mean, 67 73/120 (61) 47/120 (39) Multiple regression Age (y), sex (men/women), BMI, comorbidity (CCI), physical function and pain (WOMAC), pain catastrophizing (PCS), depression (PHQ-9), kinesiophobia (TSK), surgery duration (min) WOMAC
Tilbury et al,26 2018 Netherlands PC 146 2011-2012 12 Mean, 67 101/146 (69) 87/146 (31) Multivariate linear regression BMI, mental health (SF-36), physical function (KOOS), outcome expectancies (HSS hip replacement and knee replacement expectations surveys) KOOS
van de Water et al,27 2019 Netherlands PC 559 2012-2015 12 Mean, 67 378/559 (68) 181/559 (32) Multivariate linear regression Pain (KOOS), K-L grade KOOS
Wylde et al,28 2012 UK PC 220 NA 12 Median, 70 136/220 (62) 84/220 (38) Ordinary least square regression Age (y), sex (men/women), comorbidity (SCQ), physical function (WOMAC), depression and anxiety (HADS), pain self-efficacy (PSEQ) WOMAC

Abbreviations: AHI, Arthritis Helplessness Index; ASA, American Society of Anesthesiologists; BMI, body mass index; BPI, Brief Pain Inventory; CCI, Charlson Comorbidity Index; ESS, Epworth Sleepiness Scale; HADS, Hospital Anxiety and Depression Scale; HSS, Hospital for Special Surgery; IKSS, International Knee Society Score; JKOM, Japanese Knee Osteoarthritis Measure; K-L, Kellgren-Lawrence; KOOS, Knee Injury and Osteoarthritis Outcome Score; KSS, Knee Society Clinical Rating System; MET, Metabolic Equivalent of Tasks; MSAS-SF, Memorial Symptom Assessment Scale Short Form; NA, not applicable; NRS, numerical rating scale; OKQ, Oxford Knee Questionnaire; PC, prospective cohort; PCS, Pain Catastrophizing Scale; PHQ-9, Patient Health Questionnaire; PSEQ, Pain Self-Efficacy Questionnaire; PSQI, Pittsburgh Sleep Quality Index; SCQ, Self-Administered Comorbidity Questionnaire; SF-12, 12-Item Short-Form Health Survey 12; SF-36, 36-Item Short Form Health Survey; TSK, Tampa Scale of Kinesiophobia; TSLS, time single legged stand with eyes open; TUG, Timed Up and Go; WPAI:SHP, Work Productivity and Activity Impairment Questionnaire: Specific Health Problem; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

a

Study with 2 follow-up times.