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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