Table 3.

Log-binomial regression analysis of chronic NSP associated factors among public hospital workers.

Factors	Chronic NSP n (%)	PR	95% C.I
Model 1
Hospital level
Primary hospital	1258 (9.3%)	1
Secondary hospital	1652 (16.9%)	1.9	1.2–2.9
Tertiary hospital	1714 (27.4%)	3.0	1.8–5.0
Employment position
Clinicians	2144 (19.1%)	1
Nurses	1923 (15.0%)	0.7	0.6–0.9
Other healthcare technicians	369 (11.0%)	0.5	0.3–0.8
Managers and supporting staff	188 (8.7%)	0.4	0.2–0.7
Model 2
Employment status
Permanent	2194 (12.4%)	1
Contract/temporary	2430 (20.4%)	1.6	1.1–2.4
Model 3
Workload
Work hours per week
< 40	813 (9.0%)	1
40–45	1873 (15.9%)	1.7	1.1–2.4
> 45	1938 (22.3%)	2.3	1.4–3.7
Ergonomic factors
Bending the neck forward for long periods of time
No	3054 (12.4%)	1
Yes	1570 (32.0%)	2.4	1.4–4.0
Twisting the neck for long periods of time
No	3472 (13.2%)	1
Yes	1152 (36.0%)	2.6	1.6–4.1
Model 4
Computer-related factors
Distance of the keyboard
0 =  ≥ 15 cm	2104 (11.8%)	1
1 = < 15 cm	2520 (21.4%)	1.8	1.2–2.7
Computer-using time daily
< 3 h	1173 (8.8%)	1
3–6 h	1640 (17.1%)	1.9	1.1–3.2
> 6 h	1811 (27.6%)	3.0	1.9–4.8

Model 1 was adjusted by age (< 30, 30–40, 40–50, > 50 years old) and sex. Model 2 was adjusted by hospital level, employment position, age and sex. Model 3 was adjusted by hospital level, employment position, employment status, age and sex. Model 4 was adjusted by workload, hospital level, employment position, employment status, age and sex.