Risk Factors Associated with Occupational Injuries (Statistics Project Sample)
Data Analysis to answer the following objectives:
1. To determine the magnitude of occupational injuries among motor vehicle repair workers at the Kigandaini Juakali sector.
2. To determine social demographic factors linked with job-related injuries among motor vehicle repair workers at the Kigandaini Juakali sector.
3. To determine behavioral risk factors linked with job-related injuries among motor vehicle repair workers at the Kigandaini Juakali sector.
4. To determine environmental work factors linked with job-related injuries among motor vehicle repair workers at the Kigandaini Juakali sector.
I analyzed the data using SPSS software.
RISK FACTORS ASSOCIATED WITH OCCUPATIONAL INJURIES AMONG MOTOR VEHICLE REPAIR WORKERS AT KIGANDAINI JUAKALI SECTOR THIKA, KIAMBU COUNTY, KENYA.
Analysis and Interpretation
To determine the magnitude of occupational injuries among motor vehicle repair workers at the Kigandaini Juakali sector.
To determine social demographic factors linked with job-related injuries among motor vehicle repair workers at the Kigandaini Juakali sector.
To determine behavioral risk factors linked with job-related injuries among motor vehicle repair workers at the Kigandaini Juakali sector.
To determine environmental work factors linked with job-related injuries among motor vehicle repair workers at the Kigandaini Juakali sector.
Socio-demographic Characteristics of Respondents
For this study, a total of 260 workers were sampled to determine the magnitude of job-related injuries and linked risk factors among motor vehicle repair employees at Kigandaini Juakali sector Thika town, Kenya.
Respondents sampled were between ages 19 and 43, with a mean age of 30. Most of them (97.7%) were male, and slightly more than half (56.2%) were married. Another 42.7% were single, and the rest were widowed and divorced. On education level, close of half of the respondents (47.3%) had attained secondary education, and 26.9% had attended vocational schools. Only 2.7% had acquired university education.
Socio-demographic Characteristics
Frequency
Percent
Valid Percent
Gender
Male
254
97.7
97.7
Female
6
2.3
2.3
Marital status
Married
146
56.2
56.2
Single
111
42.7
42.7
Widowed
2
.8
.8
Divorced
1
.4
.4
Level of Education
Primary school
60
23.1
23.1
Secondary school
123
47.3
47.3
Vocational school
70
26.9
26.9
University education
7
2.7
2.7
Age of Respondents (in years)
N
Range
Minimum
Maximum
Mean
Age of the respondents
260
24
19
43
29.83
The magnitude of Occupational Injuries
Injuries Sustained, Frequency, and Time
43.7% of the respondents affirmed to have ever had an event at work that resulted in injury in the last year, and 17.3% had had an injury in the last two weeks. On the frequency of occupational injuries, 17.7% responded having had an injury only once, while about one quarter (25.8%) were injured more than once.
In other words, 40.7% of the respondents who affirmed to have had occupational injuries reported having been injured only once. More than half of them (59.3%) had had an injury more than once. About one-third of the injuries (30.1%) happened during the evening, with fewer injuries in the morning (14.2%). However, a section of the respondents (31%) could not remember the time they were injured.
Injuries sustained, Frequency, and Time
Frequency
Percent
Valid Percent
Event at work that resulted in injury in the last one year
Yes
113
43.5
43.5
No
147
56.5
56.5
Presence of injury in the last two weeks
Yes
45
17.3
39.8
No
68
26.2
60.2
Frequency of injury
Once
46
17.7
40.7
Twice and more
67
25.8
59.3
Time of the injury
Morning
16
6.2
14.2
Afternoon
28
10.8
24.8
Evening
34
13.1
30.1
I don’t remember
35
13.5
31.0
Part of the Body Affected
Most of the respondents who reported to have been injured the past year reported having sustained injuries on the fingers (69%), lower arm (51.3%), and lower leg (23%). Quite a few of them had sustained injuries on the mouth (.9%), chest (.9%), head (2.7%), ear (2.7%), and toes (2.7%).
Part of the body affected
Frequency
Percent
Valid Percent
Injury to the eye
Yes
19
7.3
16.8
No
94
36.2
83.2
Injury to the mouth
Yes
1
.4
.9
No
112
43.1
99.1
Injury to the knee
Yes
7
2.7
6.2
No
106
40.8
93.8
Injury to the toe
Yes
3
1.2
2.7
No
110
42.3
97.3
Injury to the ear
Yes
3
1.2
2.7
No
110
42.3
97.3
Injury to the fingers
Yes
78
30.0
69.0
No
35
13.5
31.0
Injury to the head
Yes
3
1.2
2.7
No
110
42.3
97.3
Injury to the upper arm
Yes
13
5.0
11.5
No
100
38.5
88.5
Injury to the lower arm
Yes
58
22.3
51.3
No
55
21.2
48.7
Injury to the upper leg
Yes
5
1.9
4.4
No
108
41.5
95.6
Injury to the lower leg
Yes
26
10.0
23.0
No
87
33.5
77.0
Injury to the back
Yes
6
2.3
5.3
No
107
41.2
94.7
Injury to the chest
Yes
1
.4
.9
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