<p>Prevalence of upper limb pain and disability and its correlates with demographic and personal factors</p>

Abstract

PurposeThe present study aimed to assess the prevalence of upper limb pain and disability and to investigate potentially correlated factors among university students in Jordan.MethodsThis was a cross-sectional questionnaire-based survey study that was conducted among university students. The upper limb pain and disability were assessed by the Disabilities of the Arm, Shoulder, and Hand (DASH) outcome questionnaire. The DASH outcome questionnaire was distributed to 2100 students from the population of 2 public and 2 private universities in the north of Jordan. Demographic and personal information were collected. Data were analyzed using descriptive statistics and linear regression analysis.ResultsA total of 1929 DASH outcome questionnaires were returned, with a high response rate of 91.86%. The age of the subjects was between 18–28 years (52% male; 48% female). The majority of subjects (85.2%) used at least one smartphone. The majority of them had been using a smartphone for more than 5 years. The prevalence of upper limb pain and disability among university students was 24%. Several factors were found to be significantly connected with upper limb pain and disability among university students, such as smartphone use, computer use, the presence of musculoskeletal problems, not living with their families, using public transport (bus), and daily housekeeping.ConclusionThe results of this study can be used globally to promote the health and well-being of university students, improve their academic performance and future career. Identifying high-risk groups will assist in early identifications and prevention programs for upper limb pain and disability among university students.

Cross-cultural adaptation, validity, and reliability of the Persian version of the Upper Limb Functional Index

“…Upper limb musculoskeletal disorders (ULMSDs) are a common health problem in the general population, children and in patients referred to orthopaedic clinics. [1][2][3][4] The point prevalence range of ULMSDs in different populations is reported as ranging from 1.6% to 53% at any one time, while the annual prevalence ranges from 2.3% to 41%. 2,5,6 Upper limb problems affect between 24% and 30% of the working population, being second only to the spine region at 37% to 52%, as the most affected region.…”

“…2,8 Additionally, ULMSD patients have reduced activities of daily living (ADL), along with reduced participation in social, work and leisure activity, all of which may initiate a harmful cycle of pain-disability. 3,9,10 The ability to reduce pain coupled with improved function and return to work, are critical considerations in the management of symptomatic patients in the clinical setting, for both the physician and rehabilitation provider.…”

The Prevalence of Musculoskeletal Symptoms in Iranian Spinner Workers in the Textile Industry and its Association With Demographic and Lifestyle Characteristics

“…Textile production has a long history in Iran, where the first modern European-style factories were established in the 1850s in Persia [11]. Spinning is a major section of textile industry in which the yarn are produced by twisting of the drawn-out strands of fibers.…”

“…Spinning is a major section of textile industry in which the yarn are produced by twisting of the drawn-out strands of fibers. These industries constitute around 12% of the general employment in Iran [11] and have approximately 300000 workers directly employed. The major centers of the Iranian textile industry are Isfahan, Yazd, Kerman, and Mazanda-ran Provinces.…”

Back, Lower Limb, and Upper Limb Pain Among U.S. Adults, 2019

“…Location-specific pain, such as back, neck, arm, and hip pain is associated with short-and long-term health effects, ranging from minor discomfort to musculoskeletal impairment (1), diminished quality of life (2), and escalating health care costs (3). Existing studies of location-specific pain are mostly limited to small or special populations with limited generalizability (4)(5)(6).…”