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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