ArticlePain management nursing : official journal of the American Society of Pain Management Nurses2022
Biopsychosocial Factors Predicting Pain Among Individuals Experiencing the Novel Coronavirus Disease (COVID-19).
Article in Pain management nursing : official journal of the American Society of Pain Management Nurses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Predicting higher risk factors for COVID-19 short-term reinfection in patients with rheumatic diseases: a modeling study based on XGBoost algorithm.Journal of translational medicine · 2024Article
- Early Effects of a Pain-Informed Movement Program in Patients with Post-COVID-19 Condition Experiencing Persistent Pain: Protocol for a Randomized Controlled Trial.Journal of clinical medicine · 2024Article
- Post-COVID Patients With New-Onset Chronic Pain 2 Years After Infection: Cross-Sectional Study.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2023Article
- Pain and Clinical Presentation: A Cross-Sectional Study of Patients with New-Onset Chronic Pain in Long-COVID-19 Syndrome.International journal of environmental research and public health · 2023Article
- Pain Management during the COVID-19 Pandemic.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2022Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPain is one of the most common symptoms of novel coronavirus disease (COVID-19). Being both a physical and a psychological experience, pain is affected by many factors, including biological, psychological, and social rather than a single variable.
aimsTo determine the effects of biological, psychological, and social factors on pain level among participants experiencing with the COVID-19.
designA web-based, retrospective, and descriptive study
settingSocial media sources such as Facebook, WhatsApp, Instagram, and E-mail
participantsOne hundred forty-nine participants were included.
methodsData were collected based on the biopsychosocial model. Pain level was evaluated using the visual analog scale (VAS). The data were analyzed using descriptive, correlational statistics, and structural equation modeling.
resultsThe mean age of participants was 32.87 (SD = 11.32) years. The VAS scores were associated with gender (Z = -2.103, p = .035), and chronic disease status (Z = 3.001, p = .003), and the Chalder Fatigue Scale total score (β = 0.718, p < .001) associated with biological factors. The Coronavirus Anxiety Scale scores among psychological factors showed a direct impact on the VAS scores (β = 0.583, p < .001). The Patterns of Activity Measure-Pain total score examined within social factors directly affected the VAS score. The VAS score did not correlate with age, smoking status, hospitalization status, respiratory support, marital status, education level, employment, and income status.
conclusionsThe pain level in COVID-19 participants was determined by biological, psychological, and social factors. Females and participants with chronic illness, anxiety, fatigue, and low physical activity were found to experience high levels of pain. Education and counseling programs for pain management should be comprehensively structured and include anxiety reduction programs, and fatigue management.
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