| Literature DB >> 32022155 |
Daiani Modernel Xavier1, Marta Regina Cezar-Vaz1, Clarice Alves Bonow2, Maria Denise Schimith3.
Abstract
OBJECTIVE: to know the prevalence of occupational accidents in children and youth who work with their families in the rural environment and to identify the associated factors.Entities:
Mesh:
Year: 2020 PMID: 32022155 PMCID: PMC7000182 DOI: 10.1590/1518-8345.3188.3243
Source DB: PubMed Journal: Rev Lat Am Enfermagem ISSN: 0104-1169
Association of sociodemographic variables under study with occupational accidents (n=211). South Region, Brazil, 2018
| Variables | Total Sample | With occupational | Without | P value |
|---|---|---|---|---|
| Age (years) | 15.2±2.9 | 15.0±3.2 | 15.5±2.4 | 0.198[ |
| Gender | 1.000[ | |||
| Male | 93 (44.1) | 51 (44.0) | 42 (44.2) | |
| Female | 118 (55.9) | 65 (56.0) | 53 (55.8) | |
| Color | 0.320[ | |||
| White | 158 (75.6) | 94 (81.0) | 64 (68.8) | |
| Black | 19 (9.1) | 9 (7.8) | 10 (10.8) | |
| Brown | 23 (11.0) | 9 (7.8) | 14 (15.1) | |
| Indigenous | 6 (2.9) | 3 (2.6) | 3 (3.2) | |
| Yellow | 3 (1.4) | 1 (0.9) | 2 (2.2) | |
| Marital status | 0.072[ | |||
| Single | 190 (90.0) | 102 (87.9) | 88 (92.6) | |
| Married/stable union | 19 (9.0) | 14 (12.1) | 5 (5.3) | |
| Separated/Divorced | 2 (0.9) | 0 (0.0) | 2 (2.1) | |
| Education (years of schooling) | 9.2±2.1 | 8,7±2.1 | 9,7±2.0 | 0.001[ |
| Incomplete Elementary | 115 (54.5) | 72 (62.1) | 43 (45.3) | |
| Complete Elementary | 2 (0.9) | 2 (1.7) | 0 (0.0) | |
| Incomplete High School | 92 (43.6) | 40 (34.5) | 52(54.7) | |
| Complete High School | 1 (0.5) | 1 (0.9) | 0 (0.0) | |
| Incomplete Higher Education | 1 (0.5) | 1 (0.9) | 0 (0.0) | |
| Family income[ | 954 (954-1483) | 954 (954-1406) | 954 (954-1912) | 0.111[ |
| Type of housing as for material | 0.120[ | |||
| Masonry | 117 (55.5) | 57 (49.1) | 60 (63.2) | |
| Mixed: wood and masonry | 56 (26.5) | 35 (30.2) | 21 (22.1) | |
| Mixed: wood and tin | 9 (4.3) | 4 (3.4) | 5 (5.3) | |
| Wood | 29 (13.7) | 20 (17.2) | 9 (9.5) | |
| Type of housing as for porperty | 0.062[ | |||
| Rent | 3 (1.4) | 0 (0.0) | 3 (3.2) | |
| Financed | 1 (0.5) | 0 (0.0) | 1 (1.1) | |
| Live in without cost | 18 (8.5) | 7 (6.0) | 11 (11.6) | |
| Own | 189 (89.6) | 109 (94.0) | 80 (84.2) |
Variables described as mean ±standard deviation, median (25-75 percentiles) or n (%);
Student's t test;
Pearson chi-square test;
minimum wage R$ 954.00, Brazil, 2018;
Mann-Whitney test
Association of the leisure activities variables in a study with work accidents (n=211). South Region, Brazil, 2018
| Variables | Total Sample | With | Without | P value |
|---|---|---|---|---|
| Having leisure activities | 208 (98.6) | 115 (99.1) | 93 (97.9) | 0.589[ |
| Type of leisure activities[ | ||||
| Play ball/soccer | 86 (41.0) | 47 (40.9) | 39 (41.1) | 1.000[ |
| Ride a bike | 39 (18.5) | 23 (19.8) | 16 (16.8) | 0.706[ |
| Go out with friends | 33 (15.6) | 21 (18.1) | 12 (12.6) | 0.369[ |
| Ride a motorcycle | 14 (6.6) | 12 (10.3) | 2 (2.1) | 0.034[ |
| Swim in the lake | 22 (10.4) | 8 (6.9) | 14 (14.7) | 0.104[ |
| Play video game | 27 (12.8) | 12 (10.3) | 15 (15.8) | 0.332[ |
| Watch television | 50 (23.7) | 26 (22.4) | 24 (25.3) | 0.748[ |
| Listen to music | 15 (7.1) | 2 (1.7) | 13 (13.7) | 0.002[ |
| Ride a horse | 19 (9.0) | 11 (9.5) | 8 (8.4) | 0.979[ |
| Leisure hours/day | 4 (3-5) | 4 (2-5) | 4 (3-5) | 0.169[ |
Variables described as mean ±standard deviation, median (25-75 percentiles) or n (%);
Fisher's exact test;
with at least ten cases;
Pearson's chi-square test;
Mann-Whitney test
Association of the variables activities at work, main products resulting from work and working time with occupational accidents (n=211). South Region, Brazil, 2018
| Variables | Total Sample | With | Without | P value |
|---|---|---|---|---|
| Activities at work | ||||
| Fishing | 78 (37.0) | 50 (43.1) | 28 (29.5) | 0.058[ |
| Crop planting | 19 (9.0) | 14 (12.1) | 5 (5.3) | 0.140[ |
| Harvesting | 20 (9.5) | 15 (12.9) | 5 (5.3) | 0.098[ |
| Main products resulting from work | ||||
| Lettuce | 5 (2.4) | 5 (4.3) | 0 (0.0) | 0.066[ |
| Tomato | 9 (4.3) | 7 (6.0) | 2 (2.1) | 0.190[ |
| Fish/Shrimp | 84 (39.8) | 54 (46.6) | 30 (31.6) | 0.039[ |
| Working time (years) | 3 (1-5) | 3 (1-5) | 2 (1-5) | 0.375[ |
| Daily working hours | 4 (2-6) | 4 (3-6) | 4 (2-4) | 0.010[ |
Variables described as mean ±standard deviation, median (25-75 percentiles) or n (%);
Pearson's chi-square test;
Fisher's exact test;
Mann-Whitney test
Association of the personal protective equipment variables in a study with occupational accidents (n=211). South Region, Brazil, 2018
| Variables | Total Sample | With | Without | P value |
|---|---|---|---|---|
| Use of personal protective equipment | 126 (59.7) | 85 (73.3) | 41 (43.2) | <0.001[ |
| Boots | 43 (20.4) | 31 (26.7) | 12 (12.6) | 0.018[ |
| Waterproof gloves | 22 (10.4) | 17 (14.7) | 5 (5.3) | 0.046[ |
| Straw hat | 25 (11.8) | 21 (18.1) | 4 (4.2) | 0.004[ |
| Sunscreen | 53 (25.1) | 39 (33.6) | 14 (14.7) | 0.003[ |
| Raincoat | 28 (13.3) | 18 (15.5) | 10 (10.5) | 0.390[ |
| Protective goggles | 8 (3.8) | 5 (4.3) | 3 (3.2) | 0.732[ |
| Jumpsuit | 15 (7.1) | 7 (6.0) | 8 (8.4) | 0.688[ |
| Waterproof coat | 4 (1.9) | 2 (1.7) | 2 (2.1) | 1.000[ |
| Helmet | 7 (3.3) | 3 (2.6) | 4 (4.2) | 0.703[ |
| Arabic hat | 4 (1.9) | 4 (3.5) | 0 (0.0) | 0.128[ |
| Ear protector | 3 (1.4) | 1 (0.9) | 2 (2.1) | 0.589[ |
| Respirator | 2 (0.9) | 2 (1.7) | 0 (0.0) | 0.503[ |
| Visor | 4 (1.9) | 3 (2.6) | 1 (1.1) | 0.629[ |
| Water repellent pants | 3 (1.4) | 2 (1.7) | 1 (1.1) | 1.000[ |
| Reasons not to wear personal protective equipment | 0.129† | |||
| The work environment does not offer danger | 57 (86.4) | 25 (89.3) | 32 (84.2) | |
| The damage would occur anyway | 1 (1.5) | 0 (0.0) | 1 (2.6) | |
| These are uncomfortable and uncomfortable gadgets | 2 (3.0) | 0 (0.0) | 2 (5.3) | |
| Forget to use them | 3 (4.5) | 3 (10.7) | 0 (0.0) | |
| High cost | 2 (3.0) | 0 (0.0) | 2 (5.3) | |
| There is no supervision for use at work | 1 (1.5) | 0 (0.0) | 1 (2.6) |
Variables described as mean ±standard deviation, median (25-75 percentiles) or n (%);
Pearson's chi-square test;
Fisher's exact test
Factors independently associated* with the occurrence of occupational accidents in children and youth. South Region, Brazil, 2018
| Variables | PR[ | P value |
|---|---|---|
| Type of housing as for material | ||
| Masonry | 100 | - |
| Mixed: wood and masonry | 1.29 (1.00-1.66) | 0.047 |
| Mixed: wood and tin | 0.70 (0.37-1.32) | 0.269 |
| Wood | 1.24 (0.92-1.68) | 0.160 |
| Leisure activities | ||
| Riding a motorcycle | 1.69 (1.24-2.30) | 0.001 |
| Swimming in the lake | 0.49 (0.29-0.82) | 0.006 |
| Listen to music | 0.27 (0.07-1.02) | 0.054 |
| Product resulting from work activity (lettuce) | 1.86 (1.34-2.59) | <0.001 |
| Use of personal protective equipment | 1.46 (1.08-1.97) | 0.015 |
| Years of schooling | 0.95 (0.91-0.99) | 0.029 |
| Working time in the profession | 1.03 (0.99-1.06) | 0.087 |
Poisson regression;
PR = Prevalence Ratio;
95% CI = 95% confidence interval