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Students in danger: Binge drinking behaviour and associated factors in Hungary

Anita Lukács
Anita Lukács
, 
Andrea Szabó
Andrea Szabó
, 
Edina Horváth
Edina Horváth
, 
Zsuzsanna Máté
Zsuzsanna Máté
, 
Csaba Erdős
Csaba Erdős
, 
Regina Molnár
Regina Molnár
 und 
Edit Paulik
Edit Paulik
   | 20. Okt. 2021
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Article Category: Original scientific article
Online veröffentlicht: 20. Okt. 2021
Seitenbereich: 244 - 252
Eingereicht: 18. Nov. 2020
Akzeptiert: 21. Juli 2021
DOI: https://doi.org/10.2478/sjph-2021-0033
Schlüsselwörter
© 2021 National Institute of Public Health, Slovenia, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Sociodemographic characteristics of students.

Characteristics Secondary school students (14-18 years)
 University students (19-27 years)
Frequency (n) Percent (%) Frequency (n) Percent (%)
Total number 864 35.3 1585 64.7
Gender***
          male 389 45.0 399 25.2
          female 475 55.0 1186 74.8
Father’s highest educational level***
          low 358 44.0 469 30.3
          medium 250 30.7 452 29.2
          high 206 25.3 625 40.4
Mother’s highest educational level***
          low 236 28.3 253 16.2
          medium 313 37.5 539 34.5
          high 285 34.2 772 49.3
Economic status of the family
          very low 6 0.7 16 1.0
          low 36 4.3 77 4.9
          average 348 41.1 728 46.0
          good 411 48.5 695 43.9
          very good 46 5.4 66 4.2
School performance*
          poor 56 6.5 67 4.3
          medium 276 32.1 464 29.5
          good 527 61.4 1043 66.3
Binge drinking***
          Total 162 19.0 585 37.2
          male 83 21.5 206 52.0
          female 79 17.0 379 32.2
Smoking***
          Total 101 11.7 287 18.1
          male 40 10.3 93 23.3
          female 61 12.8 194 16.4
Drug consumption***
          Total 57 7.0 250 16.2
          male 26 7.0 74 19.3
          female 31 7.0 176 15.2

Factors associated with binge drinking among students in Hungary (univariable and multivariable logistic regression analyses).

Independent variables Univariable
 Multivariable
Secondary school students (14-18 years)
 University students (19-27 years)
 Secondary school students (14-18 years)
 University students (19-27 years)
OR (95% CI) p-value OR (95% CI) p-value AOR (95% CI) p-value AOR (95% CI) p-value
Age 1.60 (1.37–1.86) <0.001 0.90 (0.86–0.95) <0.001 1.44 (1.19–1.75) <0.001 0.88 (0.82–0.93) <0.001
Gender
Male 1.34 (0.95–1.89) 0.096 2.28 (1.81–2.88) <0.001 1.42 (0.93–2.15) 0.104 2.05 (1.59–2.65) <0.001
Female ref. ref. ref. ref.
Father’s highest educational level
low ref. ref. ref. ref.
medium 1.04 (0.70–1.55) 0.845 1.38 (1.05–1.81) 0.020 1.12 (0.67–1.89) 0.662 1.32 (0.97–1.81) 0.078
high 0.66 (0.41–1.05) 0.079 1.24 (0.97–1.60) 0.092 0.78 (0.41–1.49) 0.455 1.01 (0.73–1.41) 0.946
Mother’s highest educational level
low ref. ref. ref. ref.
medium 1.31 (0.86–2.02) 0.211 1.04 (0.76–1.42) 0.825 2.02 (1.15−3.57) 0.015 0.85 (0.59–1,23) 0.398
high 0.95 (0.60–1.50) 0.825 1.36 (1.01–1.84) 0.042 1.54 (0.80−2.99) 0.199 1.12 (0.76–1.65) 0.572
Economic status of the family
very low 3.18 (0.56–18.09) 0.192 1.88 (0.60–5.86) 0.279 2.21 (0.27−17.82) 0.457 1.94 (0.53–7.12) 0.318
low 0.80 (0.27–2.32) 0.675 0.873 (0.43–1.79) 0.710 0.33 (0.09−1.31) 0.115 0.99 (0.45–2.18) 0.969
average 0.80 (0.38–1.65) 0.537 1.31 (0.76–2.24) 0.332 0.42 (0.18−0.98) 0.045 1.37 (0.76–2.47) 0.290
good 0.68 (0.33–1.40) 0.294 1.30 (0.76–2.23) 0.345 0.41 (0.18−0.94) 0.035 1.31 (0.73–2.33) 0.364
very good ref. ref. ref. ref.
School performance
poor 5.85 (3.24–10.60) <0.001 1.94 (1.18–3.19) 0.009 4.44 (2.13−9.25) <0.001 1.46 (0.83–2.57) 0.196
medium 2.38 (1.64–3.50) <0.001 1.29 (1.03–1.62) 0.027 2.40 (1.53−3.76) <0.001 1.30 (1.01–1.68) 0.039
good ref. ref. ref. ref.
Smoking
yes 5.66 (3.63–8.83) <0.001 3.60 (2.76–4.70) <0.001 3.74 (2.14−6.52) <0.001 3.09 (2.30–4.16) <0.001
no ref. ref. ref. ref.
Drug consumption
yes 4.62 (2.64–8.09) <0.001 2.34 (1.80–3.12) <0.001 2.23 (1.14−4.38) 0.019 1.93 (1.42–2.64) <0.001
no ref. ref. ref. ref.
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