| Literature DB >> 24376793 |
Francesco Napolitano1, Maria Teresa Izzo1, Gabriella Di Giuseppe1, Italo F Angelillo1.
Abstract
BACKGROUND: The objectives of the study were to investigate the level of knowledge, attitudes, and behaviors regarding antibiotics of the general population in Italy, and to assess the correlates of these outcomes of interest.Entities:
Mesh:
Substances:
Year: 2013 PMID: 24376793 PMCID: PMC3871686 DOI: 10.1371/journal.pone.0084177
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Principal characteristics of the study population.
| Total | ||
| n | % | |
|
| ||
| Male | 121 | 28.9 |
| Female | 298 | 71.1 |
|
| 43.1±6.1(28–60) | |
| <40 | 118 | 28.2 |
| 40–45 | 150 | 35.8 |
| >45 | 151 | 36 |
|
| ||
| Married | 389 | 92.8 |
| Other | 30 | 7.2 |
|
| ||
| Middle school or lower | 145 | 34.6 |
| High school | 225 | 53.7 |
| Baccalaureate degree/Graduate degree | 49 | 11.7 |
|
| ||
| Unemployed | 189 | 45.8 |
| Employed | 224 | 54.2 |
|
| ||
| ≤3 | 294 | 70.4 |
| >3 | 125 | 29.6 |
|
| ||
| 1 | 54 | 12.9 |
| >1 | 365 | 87.1 |
|
| ||
| Yes | 107 | 25.5 |
| No | 312 | 74.5 |
|
| 7.6±1.6(1–10) | |
|
| ||
| No | 76 | 18.1 |
| Yes | 343 | 81.9 |
*Mean ± standard deviation (range).
Numbers for employment status do not add up to the total number of the study population due to missing values.
Regression models for potential determinants of the different outcomes of interest.
| Variable | ||||
|
|
|
|
|
|
| Log likelihood = −110.75, χ2 = 46.9 (7 df), | ||||
| Educational level | ||||
| Baccalaureate degree/Graduate degree | 1 | |||
| Middle school or lower | 0.1 | 0.08 | 0.03–0.4 | 0.002 |
| High school | 0.6 | 0.2 | 0.26–1.31 | 0.193 |
| Employment status | 3.1 | 1.4 | 1.2–7.6 | 0.014 |
| A health-care worker in the family | 2.2 | 0.8 | 1.1–4.5 | 0.024 |
| Need for additional information on antibiotics | 0.46 | 0.16 | 0.23–0.92 | 0.028 |
| Age (years) | ||||
| >45 | 1 | |||
| <40 | 0.46 | 0.24 | 0.17–1.26 | 0.134 |
| Physicians as source of information on antibiotics | 1.6 | 0.7 | 0.65–3.96 | 0.309 |
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| Log likelihood = −253.24, χ2 = 23.14 (6 df), | ||||
| Physicians as source of information on antibiotics | 0.48 | 0.11 | 0.3–0.77 | 0.003 |
| Self-rated health status | 0.85 | 0.06 | 0.74–0.97 | 0.017 |
| Having attended a physician at least once in the last year | 1.88 | 0.58 | 1.03–3.43 | 0.04 |
| Need for additional information on antibiotics | 0.77 | 0.17 | 0.49–1.19 | 0.244 |
| Knowledge that antibiotics are not indicated for treating cold | 1.32 | 0.37 | 0.75–2.3 | 0.328 |
| Age (years) | ||||
| >45 | 1 | |||
| <40 | 1.23 | 0.3 | 0.77–1.96 | 0.376 |
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| Log likelihood = −137.49, χ2 = 27.1 (9 df), | ||||
| Age (years) | ||||
| >45 | 1 | |||
| <40 | 2.34 | 0.77 | 1.22–4.5 | 0.01 |
| Knowledge that antibiotics are not indicated for treating flu | 0.42 | 0.14 | 0.22–0.82 | 0.011 |
| Self-rated health status | 0.79 | 0.07 | 0.65–0.95 | 0.012 |
| Knowledge that antibiotics are not indicated for treating sore throat | 0.51 | 0.16 | 0.27–0.95 | 0.034 |
| Knowledge that antibiotics are not indicated for treating cold | 2.49 | 1.1 | 1.04–5.95 | 0.04 |
| Educational level | ||||
| Baccalaureate degree/Graduate degree | 1 | |||
| Middle school or lower | 0.5 | 0.25 | 0.18–1.36 | 0.177 |
| High school | 0.63 | 0.3 | 0.24–1.61 | 0.332 |
| Physicians as source of information on antibiotics | 0.63 | 0.22 | 0.31–1.27 | 0.198 |
| Gender | 0.73 | 0.25 | 0.38–1.43 | 0.362 |
*Reference category.