| Literature DB >> 30458742 |
Montse Gómez-Recasens1,2, Silvana Alfaro-Barrio2, Lucia Tarro3,4, Elisabet Llauradó5, Rosa Solà1,6,7.
Abstract
BACKGROUND: The consumption of alcohol and other drugs causes social and health problems in industrialized societies. Furthermore, alcohol and drug consumption in the workplace is associated with work accidents, absenteeism and low productivity. The aim of the current study is to reduce alcohol and drug consumption among workers in the service industry and, as a secondary aim, to improve their healthy habits through the reduction of alcohol and other drug consumption in their leisure time.Entities:
Keywords: Drug prevention; Drugs; Habits; Health; Health behavior surveillance; Healthy living; Labor sphere; Risky behaviors; Work
Mesh:
Year: 2018 PMID: 30458742 PMCID: PMC6247683 DOI: 10.1186/s12889-018-6133-y
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Gradual implementation of intervention (stepped wedge design)
Fig. 2Alcohol and drug consumption prevention program in workplace
Fig. 3Flow diagram of the participants
Employees’ baseline characteristics
| Characteristic | Mean (±SD) | N (%) |
|---|---|---|
| Age | 42.48 (±10.44) | |
| Weight (kg) | 79.71 (±16.03) | |
| Height (m) | 1.71 (±0.84) | |
| IMC (kg/m2) | 27.30 (±4.82) | |
| Systolic blood pressure (mmHg) | 131.6 (±18.01) | |
| Diastolic blood pressure (mmHg) | 78.6 (±11.54) | |
| Women | 287 (26) | |
| Men | 816 (74) | |
| Categories of work | ||
| Blue collar | 1069 (96.9) | |
| Elementary occupations | 634 (57.5) | |
| Cleaners and helpers | 634 (57.5) | |
| Plant and machine operators and assemblers | 435 (39.4) | |
| Stationary plant and machine operators | 151 (13.7) | |
| Drivers and mobile plant operators | 252 (22.8) | |
| Foreman of operators and drivers | 32 (2.9) | |
| White collar | 34 (3.1) | |
| Managers: administrative and commercial managers/production and specialized service managers | 34 (3.1) | |
| Risky consumption | ||
| Alcohol | 162 (14.7) | |
| Drugs | 75 (6.8) | |
| Alcohol + Drugs | 210 (19.0) | |
SD standard deviation, N participant number, kg kilograms, m meters, mmHg millimeters of mercury
Categories of work: Based on the International Labour Organization [21]
Risky alcohol and drug consumption by participants in the program
| Risky consumption | Baseline ( | Year 1 ( | Year 2 ( | Year 3 ( | |||||
|---|---|---|---|---|---|---|---|---|---|
| Alcohol % ( | 14.7 (162) | 10.6 (105) |
| 9.3 (65) |
| 10.7 (63) |
|
|
|
| Drugs % ( | 6.8 (75) | 6.6 (65) |
| 6.7 (47) |
| 6.9 (43) |
|
|
|
| Total % ( | 19 (210) | 15.3 (151) |
| 14.4 (101) |
| 14.9 (93) |
|
|
|
*p-value was calculated with McNemar’s test
Bold text indicates significant p values
Risky alcohol and drug consumption by program participants stratified by work center
| Work centers | Risky consumption | Baseline | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|
| Reus ( | Alcohol % ( | 26.4 (64) | 11.4 (25)* | 9.3 (18)* | 9.2 (17)* |
| Drugs % ( | 9.5 (23) | 9.5 (21) | 8.8 (17) | 9.7 (18) | |
| Alcohol + Drugs % ( | 30.2 (73) | 19.1 (42)* | 17.6 (34)* | 14.6 (27)* | |
| Consell ( | Alcohol % ( | 17.5(11) | 5.7 (3)* | 7 (3) | 7.1 (3) |
| Drugs % ( | 6.3 (4) | 5.7 (3) | 7 (3) | 4.8 (2) | |
| Alcohol + Drugs % ( | 20.6 (13) | 7.5 (4)* | 9.3 (4)* | 9.5 (4)* | |
| Ecobp ( | Alcohol % ( | 16.3 (13) | 15.7 (11) | 9.7 (6)* | 10.2 (6)* |
| Drugs % ( | 10 (8) | 10 (7) | 6.5 (4) | 0 | |
| Alcohol + Drugs % ( | 23.8 (19) | 21.4 (15) | 12.9 (8)* | 8.5 (5)* | |
| Jaume Oro ( | Alcohol % ( | 11.6 (5) | 12.2 (5) | 8.1 (3) | 12.9 (4) |
| Drugs % ( | 2.3 (1) | 2.4 (1) | 2.7 (1) | 3.2 (1) | |
| Alcohol + Drugs % ( | 14 (6) | 14.6 (6) | 10.8 (4) | 12.9 (4) | |
| Lleida ( | Alcohol % ( | 7.1 (4) | 7.1 (4) | 4.7 (2) | 4.7 (2) |
| Drugs % ( | 14.3 (8) | 14.3 (8) | 11.6 (5) | 11.6 (5) | |
| Alcohol + Drugs % ( | 19.6 (11) | 16.1 (9) | 9.3 (4) | 14 (6) | |
| Tarragona ( | Alcohol % ( | 15.5 (54) | 14.9 (45) | 11.4 (31)* | 14.2 (33)* |
| Drugs % (n) | 6.9 (24) | 6 (18) | 5.9 (16) | 7.3 (17) | |
| Alcohol + Drugs % ( | 20.4 (71) | 18.9 (57) | 16.2 (44)* | 19.3 (45)* | |
| Ute Segria ( | Alcohol % ( | 0 | 0 | 0 | 0 |
| Drugs % ( | 9.1 (1) | 10 (1) | 14.3 (1) | 0 | |
| Alcohol + Drugs % ( | 9.1 (1) | 10 (1) | 14.3 (1) | 0 | |
| Vendrell ( | Alcohol % ( | 11.3 (6) | 13.2 (5) | 7.4 (2) | 7.7 (2) |
| Drugs % ( | 1.9 (1) | 2.6 (1) | 0 | 0 | |
| Alcohol + Drugs % ( | 13.2 (7) | 15.8 (6) | 7.4 (2) | 7.7 (2) | |
| White Collars "Oficinas" ( | Alcohol % ( | 4.8 (1) | 5 (1) | 0 | |
| Drugs % ( | 0 | 0 | 0 | ||
| Alcohol + Drugs % ( | 4.8 (1) | 5 (1) | 0 | ||
| Deltebre ( | Alcohol % ( | 2.4 (1) | 2.5 (1) | ||
| Drugs % ( | 2.4 (1) | 5 (2) | |||
| Alcohol + drugs % ( | 4.9 (2) | 2.5 (2) | |||
| Cleaners ( | Alcohol % ( | 2.9 (3) | 3.1 (3) | ||
| Drugs % ( | 2 (2) | 2.1 (2) | |||
| Alcohol + Drugs % ( | 3.9 (4) | 5.2 (5) | |||
| Selsa ( | Alcohol % ( | 0 | 4.7 (2) | ||
| Drugs % ( | 4.7 (2) | 4.7 (2) | |||
| Alcohol + Drugs % ( | 4.7 (2) | 7 (3) |
*p < 0.05 compared with baseline values with McNemar's test
Risky alcohol and drug consumption by participants in the program at the Reus work center
| Work centers | Risky consumption | Baseline | Year 1 | Year 2 | Year 3 | Year 4 | Year 5 |
|---|---|---|---|---|---|---|---|
| Reus ( | Alcohol % ( | 26.4 (64) | 11.4 (25)* | 9.3 (18)* | 9.2 (17)* | 7.7 (13)* | 6.1 (9)* |
| Drugs % ( | 9.5 (23) | 9.5 (21) | 8.8 (17) | 9.7 (18) | 7.1 (12) | 5.4 (8) | |
| Alcohol + Drugs % ( | 30.2 (73) | 19.1 (42)* | 17.6 (34)* | 14.6 (27)* | 13.1 (22)* | 9.5 (14)* |
*p < 0.05 compared to baseline values with McNemar's test