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Table 3 Prediction of good practice alcohol management

From: The role of alcohol in the management of hypertension in patients in European primary health care practices – a survey in the largest European Union countries

N = 2468

Model Aa

Model Ba

Model Ca

Pseudo R2

.1208

.1164

.1113

Predictors:

OR

p

OR

p

OR

p

 Sex: 0 = male, 1 = female

0.80 (0.66–0.97)

.026

1.15 (0.92–1.42)

.221

1.22 (0.88–1.68)

.232

 Age: less than 30 years old

0.66 (0.21–2.10)

 

0.71 (0.20–2.54)

 

1.20 (0.14–10.57)

 

 Age: 30–39 years old

0.91 (0.31–2.67)

 

0.69 (0.21–2.28)

 

0.97 (0.12–7.81)

 

 Age: 40–49 years old

0.96 (0.33–2.83)

 

0.75 (0.23–2.78)

 

0.84 (0.10–6.77)

 

 Age: 50–59 years old

0.88 (0.30–2.58)

 

0.72 (0.22–2.34)

 

1.19 (0.15–9.42)

 

 Age: 60–69 years old

0.97 (0.33–2.87)

 

0.89 (0.27–2.94)

 

1.10 (0.13–8.88)

 

 Age: at least 70 years old (reference categoryb)

1

.734

1

.791

1

.714

 Country: only France

0.08 (0.05–0.12)

 

0.20 (0.12–0.32)

 

0.32 (0.14–0.67)

 

 Country: only Germany

0.43 (0.29–0.63)

 

1.04 (0.66–1.65)

 

2.79 (1.51–5.18)

 

 Country: only Italy

0.68 (0.49–0.96)

 

1.48 (0.99–2.21)

 

0.50 (0.23–1.08)

 

 Country: only Spain

0.98 (0.76–1.27)

 

2.57 (1.88–3.51)

 

2.45 (1.48–4.06)

 

 Country: UK (reference categoryb)

1

<.001

1

<.001

1

<.001

 Belief: Patients successfully reduced blood pressure due to lifestyle change

1.21 (0.96–1.52)

.098

1.18 (0.92–1.51)

.198

1.70 (1.19–2.42)

.003

 Belief: Lifestyle changes successful to avoid prescribed HTN medication

1.42 (1.17–1.73)

<.001

1.44 (1.15–1.79)

.001

1.48 (1.07–2.06)

.019

 Knowledge: alcohol rated as important risk factor for HTN

1.27 (1.01–1.60)

.043

1.43 (1.10–1.86)

.007

1.21 (0.82–1.79)

.332

 Education: university education on alcohol was sufficient

1.41 (1.05–1.90)

.022

1.34 (0.97–1.86)

.079

1.25 (0.78–2.02)

.353

 Education: received post-graduate education on alcohol

1.49 (1.23–1.80)

<.001

1.93 (1.55–2.40)

<.001

2.49 (1.75–3.54)

<.001

 Education: university education on HTN was sufficient

0.91 (0.75–1.09)

.301

1.04 (0.84–1.29)

.702

0.95 (0.67–1.31)

.752

 Education: received post-graduate education on HTN

1.32 (0.98–1.75)

.052

1.32 (0.93–1.89)

.123

1.05 (0.59–1.87)

.865

 Workload: country-standardized measure of daily patient contacts

1.02 (0.94–1.12)

.597

1.02 (0.92–1.12)

.718

1.02 (0.90–1.16)

.752

  1. Notes. HTN Hypertension
  2. aLogistic regression models predicted alcohol management using different indicators: For Model A, sufficient screening, i.e. at least 7 out of 10 HTN patients was predicted. For Model B and C, composite indicators consisting of sufficient screening (as Model A) in addition to self-management of alcohol problems in hypertensive patients with either hazardous drinking levels (Model B) or alcohol dependence (Model C) was predicted. For Model C, treatment of alcohol problems only via brief intervention or advice did not qualify as indicator for sufficient alcohol management
  3. bFor age and country, the p-values refer to an omnibus test for the entire variable, i.e., testing the global hypotheses that the coefficient for any age category or country deviates from the null hypothesis of no difference above chance
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