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. 2014 Jul 25;18(6):2704–2719. doi: 10.1111/hex.12245

Table 2.

Logistic regression coefficients for regression of use of pain‐related health care predisposing variables, enabling variables and illness level variables

OR 95% CI P‐value Model χ2 P‐value
Predisposing 36.784 <0.001
Demographic
Age 1.001 0.988–1.015 0.872
Gender 1.087 0.757–1.562 0.651
Social structure
Occupation (Official/administrator w/univ. degree) 0.242
Office‐service/sales/front‐desk 1.103 0.718–1.694 0.656
Unskilled work 1.244 0.744–2.08 0.406
Disabled, pensioner, unemployed 2.055 1.1–3.84 0.024
Student. Not in paid employment 1.096 0.597–2.014 0.767
Perceived causes of pain
Rheumatism 1.874 1.278–2.747 0.001
Old trauma 1.494 1.045–2.136 0.028
Heart‐ and circulatory problems 3.587 1.316–9.775 0.013
Enabling 17.358 <0.001
Family
Income (<500 000 IKR per month) 1.335 0.972–1.835 0.075
Access (very easy/easy) 1.881 1.369–2.584 <0.001
Need 124.409 <0.001
Perceived need
Interference 1.310 1.165–1.474 <0.001
Pattern 0.077
Constant pain vs. periodical 1.338 0.762–2.349 0.311
Daily intermittent vs. periodical 2.112 1.166–3.825 0.014
Frequent intermittent vs. periodical 1.169 0.698–1.958 0.552
Evaluated need
Physical component score 0.952 0.929–0.976 <0.001

Logistic regression, Variables entered into the model: Age and Gender.

Backward stepwise Logistic Regression, Predisposing variables not included in model: Marital Status, Education, Fibromyalgia, Myalgia/wear and tear, No explanations, Gastro‐ Intestinal Problems, Migraine and Other causes, n = 629. Enabling variables not included in model: Residence. n = 652. Illness Level variables not included in model: Severity, Spread, Mental Component Score. n = 584.