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Evidence from the English longitudinal study of ageing 27 identified pain and mobility disability at baseline as predictors of comorbid pain and depression.
Moderate evidence was found for long duration of complaints and high disability at baseline as predictors of poorer outcome in primary care.
Long-term selection effects were tested for by means of Cox proportional hazard models, using mental distress in both partners at baseline as predictors of divorce the next 16 years.
Another hospital-based ART follow-up study in Thailand reported anaemia and severe immunosuppression at baseline as predictors of early mortality, whereas CD4 increase from a baseline CD4 of <50 cells/mm, persistent anaemia and virological response at 6 months were identified as predictors of long-term mortality (18).
The following measures were recorded only at baseline as predictors of outcome: the short version of the Depression Anxiety Stress Scale (DASS-21), 26 a neuropathic pain screening questionnaire (ID pain), 27 the Fitzpatrick skin type assessment 28 and the International Physical Activity Questionnaire IPAQQ, short format).
This is in concordance with other studies, which have also documented earlier experience of back pain and sick leave preceding baseline as predictors of future sick leave due to low back pain among nursing personnel [ 11] as well as in general populations [ 12, 40].
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The present study focused mainly on evaluating baseline measures as predictors of joint damage.
Multivariate logistic regression was performed to obtain insight into the role of baseline characteristics as predictors of positive skin cultures.
Factors influencing participants' response rates across time were evaluated using self-reported data from the baseline questionnaires as predictors of participation.
Two studies, both of which met 18 of our 24 quality assessment criteria, investigated baseline characteristics as predictors of whether or not participants were working either 48 hours after the first physiotherapy treatment [ 21] or at one year follow up [ 23] (Additional file 11).
Logistic regression analyses were used to explore potential baseline patient measures as predictors of chromium absorption.
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