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. Author manuscript; available in PMC: 2017 Jul 21.
Published in final edited form as: Arthritis Rheumatol. 2016 Nov;68(11):2662–2670. doi: 10.1002/art.39757

Table 4.

Multivariable logistic regression analyses for the association of grip strength with clinical hand OA*

Model Clinical hand osteoarthritis β Standard Error P Δβ%b OR 95% CI
1 Plus sex, age, country of origin, education level (less than secondary) 1.1066 0.1282 <0.0001 3.024 2.352-3.888
2 Plus sex, age, country of origin, education level (less than secondary), and comorbidity (≥ 3 diseases) 1.0655 0.1291 <0.0001 3.9 2.902 2.254-3.738
3 Plus sex, age, country of origin, education level (less than secondary), comorbidity (≥ 3 diseases), and AUSCAN for hand OA pain subscale scorec 0.3990 0.1686 0.0180 167.0 1.490 1.071-2.074
4 Plus sex, age, country of origin, education level (less than secondary), comorbidity (≥ 3 diseases), AUSCAN for hand OA pain subscale scorec, and interaction of sex with age 0.3837 0.1678 0.0222 1.468 1.056-2.039
*

The outcome being measured was the likelihood of having less grip strength (a grip strength score in the lowest tertile of subsample distributions stratified by sex and country of origin) versus not having less grip strength (a score in the higher tertiles)

a

Estimated coefficients.

b

Amount of adjustment = 100 x (β previous Model – β Model) / β Model.

c

Possible AUStralian/CANadian Osteoarthritis Hand Index (AUSCAN) for hand osteoarthritis (OA) pain subscale scores range from 0 to 100, with 0 indicating no pain.

Controlled direct effect and natural direct effect: P = 0.0222, odds ratio (OR) 1.468 ((95% confidence interval [95% CI] 1.056-2.039); natural indirect effect: P <0.0001, OR 1.953 (95% CI 1.571-2.429); total effect P <0.0001, OR 2.867 (95% CI 2.212-3.715).