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Table 4 Displays the regression analysis, used to explore the relationship between independent variables and the dependent variable (‘hassles’), n = 486

From: What are the core predictors of ‘hassles’ among patients with multimorbidity in primary care? A cross sectional study

  Descriptive Univariate analysis Multivariate analysis
Independent Variable (Mean, SD, range, or %) Coefficient (95 % CI) Coefficient (95 % % CI)
  Demographic   
Gender Female = 52 % 0.021 (−0.113, 0.180) −0.023 (−0.180, 0.107)
Age 70 years ± 10, 31–91 −0.207 (−0.023, −0.009)** −0.102 (−0.016, 0.000)*
Education Formal qualifications =60 % 0.012 (−0.001, 0.000) 0.046 (−0.002, 0.001)
Accommodation type Owner = 77 % 0.120 (0.053, 0.398)* 0.069 (−0.042, 0.304)
Number of cars/Vans owned : No Car; Car Access to cars = 68 % 0.015 (−0.134, 0.186) 0.037 (−0.100, 0.228)
Current in employment Paid work = 13 %; −0.131 (−0.530, 0.097)* −0.099 (−0.464, −0.009)*
Number of conditions 7 ± 3.1, 2–20 0.219 (0.033, 0.078)** 0.167 (0.018, 0.066)**
Combined Anxiety and Depression (HADS) score 13 ± 7.8, 0–40 0.400 (0.033, 0.051)** 0.352 (0.025, 0.050)**
  Others   
Duration with long term conditions less than 5 years = 15 % 0.002 (−0.201, 0.209) −0.044 (−0.291, 0.093)
Overall health score Poor = 16 %, fair = 42 %, good = 33 %, very good = 8 %, excellent = 1 %, −0.225 (−0.289, −0.125)** −0.023 (−0.117, 0.075)
Discuss about their LTC with their GP in the last 12 months Yes = 78 % −0.096 (0.367, −0.010)* −0.095 (−0.348, −0.018)*
  1. *p < 0.05 and**p < 0.01