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Volume 16, Issue 3 (2024)
Iran J War Public Health 2024, 16(3): 1001-1010 |
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Received: 2024/09/4 | Accepted: 2024/10/1 | Published: 2024/10/28
Received: 2024/09/4 | Accepted: 2024/10/1 | Published: 2024/10/28
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Threesittidath K, Chunawa C, Khutok K. Influence of Personal Factors, Occupation, and Pain Location on Pain Levels among Patients with Musculoskeletal Disorders in rural Thailand. Iran J War Public Health 2024; 16 (3) :1001-1010
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Abstract (330 Views)
Aims Musculoskeletal disorders (MSDs) are prevalent health concerns. This research aimed to investigate the influence of personal factors, occupation, and pain location on pain levels in patients with MSDs in a rural area.
Methods Participants included 400 patients diagnosed with MSDs at Phrom Khiri Hospital, Nakhon Si Thammarat Province. Data on personal factors, occupation, pain location, and baseline pain intensity were collected. Participants were classified into mild, moderate, and severe pain levels according to the Numeric Rating Scale (NRS). Multiple discriminant analyses were performed to identify influencing factors and pain levels.
Findings All examined factors were able to predict the classification of pain levels in MSD across the three severity groups (p = 0.003), with an accuracy of 41.25%. Specifically, mild pain levels were associated with height and occupation. A combination of height and occupation predicted moderate pain levels, while severe pain levels were linked to pain location, gender, and weight.
Conclusion This study suggests that personal factors, occupation, and location of pain location correlate and can predict pain levels in patients with MSDs in rural area. Therefore, healthcare providers should consider these factors when managing patients with MSDs.
Methods Participants included 400 patients diagnosed with MSDs at Phrom Khiri Hospital, Nakhon Si Thammarat Province. Data on personal factors, occupation, pain location, and baseline pain intensity were collected. Participants were classified into mild, moderate, and severe pain levels according to the Numeric Rating Scale (NRS). Multiple discriminant analyses were performed to identify influencing factors and pain levels.
Findings All examined factors were able to predict the classification of pain levels in MSD across the three severity groups (p = 0.003), with an accuracy of 41.25%. Specifically, mild pain levels were associated with height and occupation. A combination of height and occupation predicted moderate pain levels, while severe pain levels were linked to pain location, gender, and weight.
Conclusion This study suggests that personal factors, occupation, and location of pain location correlate and can predict pain levels in patients with MSDs in rural area. Therefore, healthcare providers should consider these factors when managing patients with MSDs.