| Literature DB >> 35885845 |
Anas Mohammed Alhakami1, Adel Madkhli2, Mohammed Ghareeb2, Abdulaziz Faqih2, Ismail Abu-Shamla2, Tariq Batt2, Fatemah Refaei3, Ahmad Sahely4, Bassam Qassim5, Ayman M Shami6, Abdulaziz H Alhazmi6.
Abstract
(1) Background: Neck pain is the most common type of musculoskeletal problem affecting office workers. Various occupational risk factors have been linked to neck pain. This study aims to assess the prevalence and risk factors of neck pain among office workers at the Ministry of Health in Saudi Arabia. (2)Entities:
Keywords: Ministry of Health; Saudi Arabia; healthcare workers; neck pain
Year: 2022 PMID: 35885845 PMCID: PMC9324368 DOI: 10.3390/healthcare10071320
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Demographic characteristics of the participants (Total number = 413).
|
| n | % |
|---|---|---|
| Gender | ||
| Male | 237 | 68.3 |
| Female | 176 | 28.6 |
|
| ||
| Male (mean ± SD) | 35.9 ± 8.3 years | |
| Female (mean ± SD) | 30.5 ± 6.1 years | |
|
| ||
| Married | 282 | 68.3 |
| Single | 118 | 28.6 |
| Divorced | 12 | 2.9 |
| Widowed | 1 | 0.2 |
|
| ||
| Underweight | 27 | 6.5 |
| Normal | 171 | 41.4 |
| Overweight | 132 | 32.0 |
| Obese | 83 | 20.1 |
|
| ||
| Saudi | 360 | 87.2 |
| Non-Saudi | 53 | 12.8 |
|
| ||
| Secondary school | 30 | 7.3 |
| Diploma | 123 | 29.8 |
| Bachelor’s | 208 | 50.4 |
| Master’s | 37 | 9.0 |
| Doctorate | 15 | 3.5 |
|
| ||
| Yes | 90 | 21.8 |
| No | 323 | 78.2 |
|
| ||
| Technician | 19 | 4.6 |
| Nurse | 110 | 26.6 |
| Specialist | 98 | 23.7 |
| Physician | 73 | 17.7 |
| Senior Specialist | 3 | 0.7 |
| Pharmacist | 12 | 3.0 |
| Consultant | 5 | 1.2 |
| Financial Analyst | 1 | 0.2 |
| Engineer | 7 | 1.7 |
| Administrative Assistant | 76 | 18.4 |
| Receptionist | 2 | 0.5 |
| Intern | 4 | 1.0 |
| Physician Assistant | 1 | 0.2 |
| Security | 2 | 0.5 |
|
| ||
| <4 h | 20 | 5.0 |
| 5–7 h | 79 | 19.0 |
| 8 h | 247 | 60.0 |
| >9 h | 67 | 16.0 |
Neck pain history and its effect on work and daily activities.
| Question | Gender | Yes (%) | No (%) |
|---|---|---|---|
|
Have you had neck trouble (ache, pain or discomfort) in last twelve months? | Male | 57.8 | 42.2 |
| Female | 72.2 | 27.8 | |
|
Has neck trouble caused you to reduce your working activity during the last 12 months? | Male | 70.1 | 29.9 |
| Female | 78 | 22 | |
|
Has neck trouble caused you to reduce your leisure activity during the last 12 months? | Male | 61.3 | 38.7 |
| Female | 59.1 | 40.9 | |
|
Have you had neck trouble at any time during the last 7 days? | Male | 40.5 | 59.5 |
| Female | 63.2 | 36.8 | |
|
Have you been seen by a doctor or physiotherapist because of neck trouble during the last 12 months? | Male | 30.1 | 69.9 |
| Female | 31 | 69 |
Negative consequences of Neck pain.
| Questions | Gender | Never | Rarely | Sometimes | Most of the Time | Always |
|---|---|---|---|---|---|---|
| How often do you have negative feelings such as stress and anxious feelings? | Male (%) | 3 | 5.3 | 12.1 | 44 | 35.6 |
| Female (%) | 10 | 10 | 11.7 | 47.5 | 20.8 | |
| How well are you able to concentrate? | Male (%) | 1.5 | 8.3 | 39.4 | 37.9 | 12.9 |
| Female (%) | 1 | 18.2 | 45 | 28.3 | 7.5 | |
| How would you rate its effect on your quality of life? | Male (%) | 1.5 | 5.3 | 18 | 49.6 | 25.6 |
| Female (%) | 2 | 5 | 26 | 49.6 | 17.4 |
Regression analysis to ascertain the effects of age, gender, level of education, profession, and working hours on the likelihood of having neck pain during last twelve months &.
| aOR | 95% C.I. | |||
|---|---|---|---|---|
| Lower | Upper | |||
| Age | 0.373 | 0.985 | 0.953 | 1.018 |
| Gender | 0.014 * | 0.515 | 0.303 | 0.873 |
| Body Mass index | 0.125 | 1.038 | 0.990 | 1.089 |
| Education Level | 0.398 | 0.885 | 0.668 | 1.174 |
| Profession | 0.925 | 1.004 | 0.931 | 1.082 |
| Working hours | 0.0001 * | 0.417 | 0.332 | 0.525 |
aOR: adjusted odds ratio. CI: confidence interval. * The alpha criterion for p-value was set to 0.05. & Binary logistic regression was used for multivariate analysis using the factors associated with absence of neck pain, such as age, gender, BMI, education level, profession, and working hours.