| Literature DB >> 35933345 |
Tore Bonsaksen1,2, Mikkel Magnus Thørrisen3,4, Neda Hashemi4, David Gimeno Ruiz de Porras5,6,7, Randi Wågø Aas8,9.
Abstract
BACKGROUND: Use of alcohol is a major public health issue, representing the 7th largest burden of disease in the world. Workplaces offer a unique arena for health initiatives addressing alcohol use, where occupational health services (OHS) personnel play an important role. However, we do not know if the extent of such initiatives may be influenced by personal drinking attitudes among OHS personnel. Thus, the aim of the study was to explore how drinking attitudes among OHS personnel were associated with their frequency of working with alcohol-related cases and with their views on alcohol prevention activities in the OHS.Entities:
Keywords: Alcohol; Attitudes; Drinking; Norms; Occupational health services; Prevention
Mesh:
Year: 2022 PMID: 35933345 PMCID: PMC9356481 DOI: 10.1186/s12913-022-08400-9
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.908
Sample characteristics by type of drinking attitudes
| Variables | Total | Liberal | Restrictive | |
|---|---|---|---|---|
| 48.9 (10.1) | 47.9 (9.8) | 50.0 (10.2) | 0.06 | |
| ( | ( | ( | 0.28 | |
| Male | 67 (20.6) | 39 (58.2) | 28 (41.8) | |
| Female | 258 (79.4) | 131 (50.8) | 127 (49.2) | |
| 12.0 (9.1) | 11.4 (9.0) | 12.6 (9.1) | 0.25 | |
| ( | ( | ( | 0.62 | |
| Physician | 42 (12.9) | 22 (52.4) | 20 (47.6) | |
| Psychologist | 7 (2.2) | 5 (71.4) | 2 (28.6) | |
| Nurse | 123 (37.8) | 59 (48.0) | 64 (52.0) | |
| Occupational therapist | 10 (3.1) | 7 (70.0) | 3 (30.0) | |
| Occupational hygienist | 27 (8.3) | 12 (44.4) | 15 (55.6) | |
| Nutritionist | 1 (0.3) | 1 (100.0) | 0 (0.0) | |
| Physiotherapist | 57 (17.5) | 32 (56.1) | 25 (43.9) | |
| Otherb | 58 (17.8) | 32 (55.2) | 26 (44.8) | |
| 0.15 | ||||
| Never | 58 (17.8) | 34 (58.6) | 24 (41.4) | |
| Less often than yearly | 61 (18.8) | 27 (44.3) | 34 (55.7) | |
| Yearly | 41 (12.6) | 22 (53.7) | 19 (46.3) | |
| Less often than monthly | 73 (22.5) | 46 (63.0) | 27 (37.0) | |
| Monthly | 66 (20.3) | 30 (45.5) | 36 (54.5) | |
| Weekly | 26 (8.0) | 11 (42.3) | 15 (57.7) | |
| Daily | 0 (0.0) | 0 (0.0) | 0 (0.0) | |
| 0.30 | ||||
| Less than, or to the same extent as today | 190 (58.5) | 102 (54.3) | 86 (45.7) | |
| More than today | 135 (41.5) | 66 (48.9) | 69 (51.1) | |
| 0.67 | ||||
| Less than, or to the same extent as today | 115 (35.4) | 60 (53.1) | 53 (46.9) | |
| More than today | 210 (64.6) | 108 (51.4) | 102 (48.6) | |
| 0.24 | ||||
| Less than, or to the same extent as today | 187 (57.5) | 99 (54.1) | 84 (45.9) | |
| More than today | 138 (42.5) | 67 (48.6) | 71 (51.4) |
a Statistical tests are Chi Square (categorical variables) and independent t-tests (continuous variables) of the differences between liberal and restrictive groups
bThe ‘other’ category consisted of e.g., medical secretaries, engineers, educationalists/teachers, economists, and social scientists
Relationships between sample characteristics and frequency of working with alcohol-related cases
| Characteristics | Unadjusted | Adjusted | ||||
|---|---|---|---|---|---|---|
| Ba (95% CI)b | βc | Ba (95% CI)b | βc | |||
| One-year increase in age | 0.04 (0.02–0.05) | 0.24 | < 0.001 | 0.02 (-0.00–0.04) | 0.12 | 0.07 |
| Female gender | -0.04 (-0.47–0.39) | -0.01 | 0.85 | - | - | - |
| One-year increase in OHS experience | 0.03 (0.01–0.05) | 0.19 | 0.001 | 0.01 (-0.01–0.03) | 0.06 | 0.35 |
| Professional groupd | 1.41 (1.09–1.72) | 0.44 | < 0.001 | 1.46 (0.36–2.56) | 0.46 | 0.01 |
| One-point increase in DNS score | -0.15 (-0.59–0.29) | -0.04 | 0.51 | - | - | - |
| DNS × professional group | 0.67 (0.51–0.83) | 0.41 | < 0.001 | -0.08 (-0.64–0.47) | -0.05 | 0.77 |
| DNS × size of work unit | -0.09 (-0.27–0.10) | -0.05 | 0.36 | - | - | - |
| DNS × location of work unit | -0.00 (-0.07–0.06) | -0.01 | 0.91 | - | - | - |
| Explained variance ( | 21.7% | < 0.001 | ||||
a Beta coefficient from linear regression
b 95% confidence intervals
c standardized beta coefficient
d the reference category includes occupational therapist, occupational hygienist, nutritionist, physiotherapist, and ‘other’, while the second category includes physician, psychologist, and nurse
Relationships between sample characteristics and attitudes towards increased alcohol prevention activities in the OHS
| Characteristic | Primary prevention | Secondary prevention | Tertiary prevention | |||
|---|---|---|---|---|---|---|
| Unadjusted | Adjusted | Unadjusted | Adjusted | Unadjusted | Adjusted | |
| ORa (95%CI)b | ORa (95%CI)b | ORa (95%CI)b | ORa (95%CI)b | ORa (95%CI)b | ORa (95%CI)b | |
| One-year increase in age | 1.00 (0.98–1.02) | - | 1.00 (0.97–1.02) | - | 0.99 (0.97–1.01) | - |
| Female gender | 1.73 (0.98–3.07) | 1.82* (1.01–3.28) | 1.11 (0.64–1.94) | - | 1.12 (0.65–1.93) | - |
| One-year increase in OHS experience | 1.02 (0.99–1.04) | 1.02 (1.00–1.05) | 1.00 (0.97–1.02) | - | 0.98 (0.96–1.01) | - |
| Professional groupc | 1.40 (0.90–2.18) | 1.29 (0.82–2.03) | 1.45 (0.92–2.29) | 1.45 (0.92–2.29) | 1.05 (0.68–1.63) | - |
| One-point increase in DNS score | 0.72 (0.41–1.25) | - | 0.72 (0.40–1.28) | - | 0.62 (0.35–1.08) | 0.62 (0.35–1.08) |
| Nagelkerke R2 | 3.3%* | 1.1% | 1.2% | |||
a Odds ratio from logistic regression
b 95% confidence intervals
c the reference category includes occupational therapist, occupational hygienist, nutritionist, physiotherapist, and ‘other’, while the second category includes physician, psychologist, and nurse
*p < 0.05