ORIGINAL PAPER
JOURNAL OF THE FACULTY OF HUMAN MEDICINE 2020 - Universidad Ricardo Palma
1 Departamento de Obstetricia, Facultad de Medicina, Universidad Nacional Mayor de San Marcos. Lima, Perú.
2 Facultad de Medicina, Universidad Nacional Mayor de San Marcos. Lima, Perú.
3 Hospital Edgardo Rebagliati Martins. Lima, Perú.
a Obstetrician, Master in Health Policy and Planning.
b Surgeon, Internist Specialist, Emergenciologist, Doctor of Medicine.
c Surgeon, Specialist in Pediatrics, Doctor in Public Health.
d Medical Surgeon, Master in Teaching and Health Research.
ABSTRACT
Introduction: Musculoskeletal disorders are health problems that can lead to disability.
Objective: To determine the factors associated with the presence of musculoskeletal disorders in cleaning workers in the emergency service of the Edgardo Rebagliati Martins National Hospital, 2019.
Methods: Descriptive, observational, cross-sectional retrospective with a quantitative approach. The survey technique was used and the instrument was the Standard Nordic Questionnaire. Descriptive and inferential statistics were applied.
Results: 129 participants, female (82.95%); median age 43 years, height 1.55m, overweight or obese (57.37%), secondary or higher education (93.80%), originating in the interior of the country (37.21%) and from Lima; 32 years lived
in Lima, the median working time was 18 months, 43.41% worked in the morning and 9.30% worked in more than one place (9.30%). They presented musculoskeletal pain 93.02%, pain in more than one area 75.97%, low back pain 65.12%, back pain 47.29%,
neck pain (37.21%) and elbow / forearm pain 13, 18%. Only in the bivariate analysis, the working time was significant for the presence of pain (p value=0.009).
Conclusion: After performing the adjusted analysis, no factors associated with musculoskeletal disorders were found.
Keywords: Musculoskeletal Physiological Phenomena; Musculoskeletal Pain; Low Back Pain; Surveillance of the Workers Health (Source: MeSH NLM)
RESUMEN
Introducción: Los trastornos musculoesqueléticos son problemas de salud que pueden llevar a la incapacidad.
Objetivo: Los trastornos musculoesqueléticos son problemas de salud que pueden llevar a la incapacidad.
Métodos: Descriptivo, observacional, transversal retrospectivo con enfoque cuantitativo. Se utilizó la técnica de la encuesta y el instrumento fue el Cuestionario Nórdico Estandarizado. Se aplicó estadística descriptiva e inferencial.
Resultados: 129 participantes, de sexo femenino (82,95%); mediana de edad 43 años, talla 1,55m, con sobrepeso u obesidad (57,37%), estudios secundarios o superiores (93,80%), procedencia del interior del país (37,21 %) y de Lima; radicaban
en Lima 32 años, la mediana de tiempo de trabajo fue18 meses, 43,41% trabajaban en la mañana y 9,30% laboraban en más de un lugar (9,30%). Presentaron dolor musculoesquelético 93,02%, dolor en más de una zona 75,97%, dolor lumbar 65,12%, dolor
dorsal 47,29%, dolor en cuello (37,21%) y dolor en codo/antebrazo 13,18%. Sólo en el análisis bivariado, el tiempo de trabajo fue significativo para presencia dolor (P= 0,009).
Conclusión: Tras realizar el análisis ajustado, no se encontraron factores asociados a los trastornos musculoesqueleticos.
Palabras Clave: Fenómenos Fisiológicos Musculoesqueléticos; Dolor Musculoesquelético; Dolor de la Región Lumbar; Vigilancia de la Salud del Trabajador (fuente: DeCS BIREME).
Table 1. Sociodemographic and labor variables of cleaning workers, adult emergency unit-HNERM, 2019.
Sociodemographic and health variables |
n |
% |
|
||
Gender |
|
||||
Female |
107 |
82.9 |
|
||
Male |
22 |
17.1 |
|
||
Age (years) * |
43 (15) |
|
|||
Marital status |
|
||||
Single |
57 |
44.2 |
|
||
Married |
56 |
43.4 |
|
||
Divorced |
10 |
7.8 |
|
||
Widower |
6 |
4.7 |
|
||
Size (meters) * |
1.55 (0.09) |
|
|||
Nutritional status |
|
||||
Low weight |
2 |
1.6 |
|
||
Normal weight |
53 |
41.1 |
|
||
Overweight |
52 |
40.3 |
|
||
Obesity 1 |
19 |
14.7 |
|
||
Obesity 2 |
2 |
1.6 |
|
||
Obesity 3 |
1 |
0.8 |
|
||
Degree of instruction |
|
||||
Primary |
8 |
6.2 |
|
||
Secondary |
93 |
72.1 |
|
||
Technical superior |
19 |
14.7 |
|
||
University superior |
9 |
6.9 |
|
||
Currently studying |
|
||||
Yes |
29 |
22.5 |
|
||
No |
100 |
77.5 |
|
||
Place of origin |
|
||||
Lima |
77 |
59.7 |
|
||
Iquitos |
8 |
6.2 |
|
||
Lambayeque |
6 |
4.7 |
|
||
San Martin |
5 |
3.8 |
|
||
Ayacucho |
4 |
3.1 |
|
||
Callao |
4 |
3.1 |
|
||
Others |
25 |
19.4 |
|
||
Place of provenance |
|
||||
San Juan de Lurigancho |
17 |
13.2 |
|
||
San Martin de Porres |
14 |
10.8 |
|
||
Comas |
13 |
10.1 |
|
||
Los Olivos |
11 |
8.5 |
|
||
Cercado de Lima |
10 |
7.8 |
|
||
Others |
64 |
49.6 |
|
||
Time spent in Lima (years) * |
32 (24) |
|
|||
Medical/surgical history |
|
||||
Yes |
30 |
23.3 |
|
||
No |
99 |
76.7 |
|
||
Work variables |
|
|
|
||
Time at work (months) * |
18 (27) |
||||
Work shift |
|
||||
Day |
56 |
43.4 |
|
||
Afternoon |
45 |
34.9 |
|
||
Night |
28 |
21.7 |
|
||
Hours per shift |
|
||||
8 hours |
125 |
96.9 |
|
||
12 hours |
4 |
3.1 |
|
||
Extra work |
|
||||
Yes |
12 |
9.3 |
|
||
No |
117 |
90.7 |
|
Table 2. Musculoskeletal pain in cleaning workers, adult emergency unit-HNERM, 2019.
Musculoskeletal pain |
n |
% |
Present pain |
||
Yes |
120 |
93,1 |
No |
9 |
6,9 |
Number of painful areas |
||
None |
9 |
6,1 |
One |
22 |
17,5 |
More than one |
98 |
75,9 |
Neck pain |
||
Yes |
48 |
37,2 |
No |
81 |
62,8 |
Shoulder Pain |
||
Right Shoulder |
17 |
13,2 |
Left Shoulder |
15 |
11,6 |
Both shoulders |
12 |
9,3 |
No pain |
85 |
65,9 |
Pain from back (dorsal) |
||
Yes |
61 |
47,3 |
No |
68 |
52,7 |
Lumbar pain |
||
Yes |
84 |
65,1 |
No |
45 |
34,9 |
Pain in elbow / forearm |
||
Elbow / right forearm |
9 |
6,9 |
Elbow / left forearm |
5 |
3,9 |
Both elbows / forearms |
3 |
2,3 |
No pain |
112 |
86,8 |
Wrist / hand pain |
||
Right wrist hand |
24 |
18,6 |
Left wrist hand |
7 |
5,4 |
Both wrists / hands |
12 |
9,3 |
No pain |
86 |
66,7 |
Hip / leg pain |
||
Right hip / leg |
19 |
14,7 |
Left hip / leg |
9 |
6,9 |
Both hips / legs |
4 |
3,1 |
No pain |
97 |
75,3 |
Knee pain |
||
Right Knee |
21 |
16,3 |
Left knee |
10 |
7,7 |
Both knees |
12 |
9,3 |
No pain |
86 |
66,7 |
Ankle/foot painankle / footankle / foot |
||
Right ankle/ foot |
12 |
9,3 |
Left ankle/ foot |
8 |
6,2 |
Both ankles / feet |
15 |
11,6 |
No pain |
94 |
72,9 |
Table 3. Bivariate analysis of factors associated with musculoskeletal pain in cleaning workers, adult emergency unit-HNERM, 2019.
Associated factors |
Musculoskeletal pain |
p* |
OR |
IC OR |
|||||
Present |
Absent |
LI |
LS |
||||||
n |
% |
n |
% |
||||||
Gender |
Female |
101 |
94.4 |
6 |
5.6 |
0.181 |
2.66 |
0.51 |
4.61 |
Male |
19 |
86.4 |
3 |
13.6 |
|||||
Marital Status |
Married |
53 |
94.6 |
3 |
5.4 |
0.887 |
1.58 |
0.43 |
3.48 |
Single / widowed / divorced |
67 |
91.8 |
6 |
8.2 |
|||||
Studying |
YesSi |
26 |
89.7 |
3 |
10.3 |
0.42 |
0.55 |
0.26 |
2.27 |
No |
94 |
94.0 |
6 |
6.0 |
|||||
Nutritional status |
Low weight / normal weight |
49 |
88.9 |
6 |
11.1 |
0.17 |
0.35 |
0.22 |
1.77 |
Overweight / obesity |
71 |
96.0 |
3 |
4.0 |
|||||
Work shift |
Morning |
52 |
92.9 |
4 |
7.1 |
1.00 |
0.96 |
0.38 |
2.53 |
Afternoon / night |
68 |
93.2 |
5 |
6.8 |
|||||
Place of origin |
San Juan de Lurigancho/ San Martin de Porres |
29 |
93.5 |
2 |
6.5 |
1.000 |
1.12 |
0.22 |
5.67 |
Other Districts |
91 |
92.9 |
7 |
7.1 |
|||||
Place of providence |
Lima / Callao |
74 |
91.4 |
7 |
8.6 |
0.483 |
0.46 |
0.09 |
2.31 |
Other regions of the country |
46 |
95.8 |
2 |
4.2 |
|||||
Medical history |
Yes |
29 |
96.7 |
1 |
3.3 |
0.68 |
2.55 |
0.15 |
14.89 |
No |
91 |
91.9 |
8 |
8.1 |
|||||
Level of education |
Primary / Secondary level |
93 |
92.1 |
8 |
7.9 |
0.683 |
0.43 |
0.05 |
3.60 |
Superior |
27 |
96.4 |
1 |
3.6 |
|||||
Extra work |
Yes |
11 |
91.7 |
1 |
8.3 |
0.597 |
0.81 |
0.09 |
7.07 |
No |
109 |
93.2 |
8 |
6.8 |
|||||
Age † |
- |
- |
- |
0.094 |
- |
- |
- |
||
Time at work † |
- |
- |
- |
0.009 |
- |
- |
- |
||
Time living in Lima † |
- |
- |
- |
|
0.382 |
- |
- |
- |
Table 4. Multivariate analysis of factors associated with musculoskeletal pain in cleaning workers, adult emergency unit-HNERM, 2019.
Variables |
OR adjusted |
Confidence interval 95% |
p- value |
|
LI |
LS |
|||
Work time |
0.93 |
0.85 |
1.02 |
0.114 |
Age |
0.98 |
0.91 |
1.05 |
0.497 |
Nutritional status |
2.21 |
0.50 |
9.68 |
0.295 |
Author's contribution: SZCH and RVA haveparticipated in the conception and design of thearticle and approval of the final version of themanuscript. SZCH and CLM produced the first draft ofthe article. SZCH RVA and CLM have carried out thedata collection and the critical revision of the content.
Funding sources: Self-financed.
Interest conflict: The authors declare that they haveno conflict of interest.
Received: April 10, 2020
Approved: June 17, 2020
Correspondence: Sara C. Zamora Chávez.
Address: Jr. Cápac Yupanqui 2698 -104, Lince, Lima-Perú.
Telephone number: 941 892 433
E-mail: caroramozados@hotmail.com