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Social variables for replication of studies using mean scores of social support, self-care, and fibromyalgia knowledge: a cross-sectional study

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Abstract

To investigate biopsychosocial variables that contribute to explaining social support, self-care, and fibromyalgia knowledge in patients with fibromyalgia. A cross-sectional study. We built ten models of predictive variables (schooling, ethnicity, associated diseases, body regions affected by pain, employment status, monthly income, marital status, health level, medication, sports activities, interpersonal relationships, nutrition level, widespread pain, symptom severity, cohabitation, dependent people, number of children, social support, self-care, and fibromyalgia knowledge) and individually tested their explanatory performance to predict mean scores on the Fibromyalgia Knowledge Questionnaire (FKQ), Medical Outcomes Study’s Social Support Scale (MOS-SSS), and Appraisal of Self-Care Agency Scale-Revised (ASAS-R). We used analysis of variance to verify the association among all variables of mathematically adjusted models (F-value ≥ 2.20) and we reported only models corrected with p < 0.05 and R2 > 0.20. One hundred and ninety people with fibromyalgia (aged 42.3 ± 9.7 years) participated in the study. Our results show that the variables schooling, ethnicity, body regions affected by pain, frequency of sports activities, dependent people, number of children, widespread pain, social support, and self-care determine 27% of the mean FKQ scores. Marital status, self-care, and fibromyalgia knowledge determine 22% of mean MOS-SSS scores. Schooling, ethnicity, employment status, frequency of sports activities, nutrition level, cohabitation, number of children, social support, and fibromyalgia knowledge determine 30% of the mean ASAS-R scores. Studies using mean scores of social support, self-care, and fibromyalgia knowledge should collect and analyze the social variables described in the present study.

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References

  1. Childerhose JE, Cronin RM, Klatt MD, Schamess A (2023) Treating chronic pain in sickle cell disease - the need for a biopsychosocial model. N Engl J Med 388:1349–1351. https://doi.org/10.1056/NEJMp2301143

    Article  PubMed  Google Scholar 

  2. Rosignoli C, Ornello R, Onofri A et al (2022) Applying a biopsychosocial model to migraine: rationale and clinical implications. J Headache Pain 23:100. https://doi.org/10.1186/s10194-022-01471-3

    Article  PubMed  PubMed Central  Google Scholar 

  3. Miaskowski C, Blyth F, Nicosia F et al (2020) A biopsychosocial model of chronic pain for older adults. Pain Med 21:1793–1805. https://doi.org/10.1093/pm/pnz329

    Article  PubMed  Google Scholar 

  4. Da Silva Almeida DO, Pontes-Silva A, Dibai-Filho AV et al (2023) Women with fibromyalgia (ACR criteria) compared with women diagnosed by doctors and women with osteoarthritis: cross-sectional study using functional and clinical variables. Int J Rheum Dis. https://doi.org/10.1111/1756-185X.14720

  5. Pontes-Silva A, de Sousa AP, Dibai-Filho AV et al (2023) Do the instruments used to assess fibromyalgia symptoms according to American College of Rheumatology criteria generate similar scores in other chronic musculoskeletal pain? BMC Musculoskelet Disord 24:467. https://doi.org/10.1186/s12891-023-06572-x

    Article  PubMed  PubMed Central  Google Scholar 

  6. Pontes-Silva A (2023) Fibromyalgia: are we using the biopsychosocial model? Autoimmun Rev 22(1):103235. https://doi.org/10.1016/j.autrev.2022.103235

    Article  PubMed  Google Scholar 

  7. Bazzichi L, Giacomelli C, Consensi A et al (2020) One year in review 2020: fibromyalgia. Clin Exp Rheumatol 38 Suppl 123(1):3–8

    PubMed  Google Scholar 

  8. D’Agnelli S, Arendt-Nielsen L, Gerra MC et al (2019) Fibromyalgia: genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers. Mol Pain 15:1744806918819944. https://doi.org/10.1177/1744806918819944

    Article  CAS  PubMed  Google Scholar 

  9. Erdrich S, Hawrelak JA, Myers SP, Harnett JE (2020) Determining the association between fibromyalgia, the gut microbiome and its biomarkers: a systematic review. BMC Musculoskelet Disord 21:181. https://doi.org/10.1186/s12891-020-03201-9

    Article  PubMed  PubMed Central  Google Scholar 

  10. Wolfe F, Egloff N, Häuser W (2016) Widespread pain and low widespread pain index scores among fibromyalgia-positive cases assessed with the 2010/2011 fibromyalgia criteria. J Rheumatol 43:1743–1748. https://doi.org/10.3899/jrheum.160153

    Article  PubMed  Google Scholar 

  11. Estévez-López F, Maestre-Cascales C, Russell D et al (2021) Effectiveness of exercise on fatigue and sleep quality in fibromyalgia: a systematic review and meta-analysis of randomized trials. Arch Phys Med Rehabil 102:752–761. https://doi.org/10.1016/j.apmr.2020.06.019

    Article  PubMed  Google Scholar 

  12. Shaikh N, Kurs-Lasky M, Hoberman A (2019) Modification of the acute otitis media symptom severity scale. Int J Pediatr Otorhinolaryngol 122:170–174. https://doi.org/10.1016/j.ijporl.2019.04.026

    Article  PubMed  Google Scholar 

  13. Wolfe F, Clauw DJ, Fitzcharles M-A et al (2010) The American college of rheumatology preliminary diagnostic criteria for fibromyalgia and measurement of symptom severity. Arthritis Care Res (Hoboken) 62:600–610. https://doi.org/10.1002/acr.20140

    Article  PubMed  Google Scholar 

  14. Wolfe F, Clauw DJ, Fitzcharles M-A et al (2011) Fibromyalgia criteria and severity scales for clinical and epidemiological studies: a modification of the ACR preliminary diagnostic criteria for fibromyalgia. J Rheumatol 38:1113–1122. https://doi.org/10.3899/jrheum.100594

    Article  PubMed  Google Scholar 

  15. Wolfe F, Clauw DJ, Fitzcharles M-A et al (2016) 2016 Revisions to the 2010/2011 fibromyalgia diagnostic criteria. Semin Arthritis Rheum 46:319–329. https://doi.org/10.1016/j.semarthrit.2016.08.012

    Article  PubMed  Google Scholar 

  16. Izquierdo-Alventosa R, Inglés M, Cortés-Amador S et al (2020) Low-intensity physical exercise improves pain catastrophizing and other psychological and physical aspects in women with fibromyalgia: a randomized controlled trial. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph17103634

    Article  PubMed  PubMed Central  Google Scholar 

  17. Edwards RR, Bingham CO 3rd, Bathon J, Haythornthwaite JA (2006) Catastrophizing and pain in arthritis, fibromyalgia, and other rheumatic diseases. Arthritis Rheum 55:325–332. https://doi.org/10.1002/art.21865

    Article  PubMed  Google Scholar 

  18. Peñacoba C, Pastor-Mira MÁ, Suso-Ribera C et al (2021) Activity patterns and functioning. A contextual-functional approach to pain catastrophizing in women with fibromyalgia. int J Environ Res Public Health. https://doi.org/10.3390/ijerph18105394

    Article  PubMed  PubMed Central  Google Scholar 

  19. Varallo G, Scarpina F, Giusti EM et al (2021) The role of pain catastrophizing and pain acceptance in performance-based and self-reported physical functioning in individuals with fibromyalgia and obesity. J Pers Med. https://doi.org/10.3390/jpm11080810

    Article  PubMed  PubMed Central  Google Scholar 

  20. Serrat M, Almirall M, Musté M et al (2020) Effectiveness of a multicomponent treatment for fibromyalgia based on pain neuroscience education, exercise therapy, psychological support, and nature exposure (NAT-FM): a pragmatic randomized controlled trial. J Clin Med. https://doi.org/10.3390/jcm9103348

    Article  PubMed  PubMed Central  Google Scholar 

  21. İnal Ö, Aras B, Salar S (2020) Investigation of the relationship between kinesiophobia and sensory processing in fibromyalgia patients. Somatosens Mot Res 37:92–96. https://doi.org/10.1080/08990220.2020.1742104

    Article  PubMed  Google Scholar 

  22. KoÇyİĞİt BF, Akaltun MS (2020) Kinesiophobia levels in fibromyalgia syndrome and the relationship between pain, disease activity, depression. Arch Rheumatol 35:214–219. https://doi.org/10.46497/ArchRheumatol.2020.7432

    Article  PubMed  PubMed Central  Google Scholar 

  23. Varallo G, Suso-Ribera C, Ghiggia A et al (2022) Catastrophizing, kinesiophobia, and acceptance as mediators of the relationship between perceived pain severity, self-reported and performance-based physical function in women with fibromyalgia and obesity. J Pain Res 15:3017–3029. https://doi.org/10.2147/JPR.S370718

    Article  PubMed  PubMed Central  Google Scholar 

  24. Leon-Llamas JL, Murillo-Garcia A, Villafaina S et al (2022) Relationship between Kinesiophobia and mobility, impact of the disease, and fear of falling in women with and without fibromyalgia: a cross-sectional study. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph19148257

    Article  PubMed  PubMed Central  Google Scholar 

  25. Galvez-Sánchez CM, Duschek S, Reyes Del Paso GA (2019) Psychological impact of fibromyalgia: current perspectives. Psychol Res Behav Manag 12:117–127. https://doi.org/10.2147/PRBM.S178240

    Article  PubMed  PubMed Central  Google Scholar 

  26. Ordóñez-Carrasco JL, Sánchez-Castelló M, Calandre EP et al (2020) suicidal ideation profiles in patients with fibromyalgia using transdiagnostic psychological and fibromyalgia-associated variables. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph18010209

    Article  PubMed  PubMed Central  Google Scholar 

  27. Calandre EP, Ordoñez-Carrasco JL, Rico-Villademoros F (2021) Marital adjustment in patients with fibromyalgia: its association with suicidal ideation and related factors A cross-sectional study. Clin Exp Rheumatol 39(Suppl 1):89–94. https://doi.org/10.55563/clinexprheumatol/pufzd6

    Article  PubMed  Google Scholar 

  28. Malta M, Cardoso LO, Bastos FI et al (2010) STROBE initiative: guidelines on reporting observational studies. Rev Saude Publica 44:559–565. https://doi.org/10.1590/S0034-89102010000300021

    Article  PubMed  Google Scholar 

  29. de Souza JB, Perissinotti DMN (2018) The prevalence of fibromyalgia in Brazil – a population-based study with secondary data of the study on chronic pain prevalence in Brazil. Brazilian J Pain 1:345–348. https://doi.org/10.5935/2595-0118.20180065

    Article  Google Scholar 

  30. Griep R, Chor D, Faerstein E, Werneck GLC (2005) Validade de constructo da escala de apoio social do Medical outcomes study adaptada para o português no Estudo Pró-Saúde. Cad Saúde Pública 21(3). https://doi.org/10.1590/S0102-311X2005000300004

  31. Sherbourne CD, Stewart AL (1991) The MOS social support survey. Soc Sci Med 32:705–714. https://doi.org/10.1016/0277-9536(91)90150-B

    Article  CAS  PubMed  Google Scholar 

  32. Griep RH, Chor D, Faerstein E, Lopes C (2003) Apoio social: confiabilidade teste-reteste de escala no Estudo Pró-Saúde. Cad Saude Publica 19:625–634. https://doi.org/10.1590/s0102-311x2003000200029

    Article  PubMed  Google Scholar 

  33. Griep RH, Chor D, Faerstein E et al (2005) Validade de constructo de escala de apoio social do medical outcomes study adaptada para o português no Estudo Pró-Saúde. Cad Saude Publica 21:703–714. https://doi.org/10.1590/S0102-311X2005000300004

    Article  PubMed  Google Scholar 

  34. Stacciarini TSG (2012) Adaptação e validação da escala para avaliar a capacidade de autocuidado. Univ São Paulo

  35. Suda AL, Jennings F, Bueno VC, Natour J (2012) Development and validation of fibromyalgia knowledge questionnaire: FKQ. Rheumatol Int 32:655–662. https://doi.org/10.1007/s00296-010-1627-7

    Article  PubMed  Google Scholar 

  36. Moretti FA, Heymann RE, Marvulle V et al (2011) Avaliação do nível de conhecimento sobre fibromialgia entre usuários da internet. Rev Bras Reumatol 51:13–19. https://doi.org/10.1590/s0482-50042011000100002

    Article  Google Scholar 

  37. Nakagawa S, Johnson PCD, Schielzeth H (2017) The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. J R Soc Interface. https://doi.org/10.1098/rsif.2017.0213

    Article  PubMed  PubMed Central  Google Scholar 

  38. Saunders LJ, Russell RA, Crabb DP (2012) The coefficient of determination: what determines a useful R2 statistic? Invest Ophthalmol Vis Sci 53(11):6830–6832. https://doi.org/10.1167/iovs.12-10598

    Article  PubMed  Google Scholar 

  39. Edwards LJ, Muller KE, Wolfinger RD et al (2008) An R2 statistic for fixed effects in the linear mixed model. Stat Med 27:6137–6157. https://doi.org/10.1002/sim.3429

    Article  PubMed  PubMed Central  Google Scholar 

  40. Macfarlane GJ, Kronisch C, Dean LE et al (2017) EULAR revised recommendations for the management of fibromyalgia. Ann Rheum Dis 76:318–328. https://doi.org/10.1136/annrheumdis-2016-209724

    Article  CAS  PubMed  Google Scholar 

  41. Häuser W, Ablin J, Fitzcharles M-A et al (2015) Fibromyalgia. Nat Rev Dis Prim 1:15022. https://doi.org/10.1038/nrdp.2015.22

    Article  PubMed  Google Scholar 

  42. Orhan C, Van Looveren E, Cagnie B et al (2018) Are pain beliefs, cognitions, and behaviors influenced by race, ethnicity, and culture in patients with chronic musculoskeletal pain: a systematic review. Pain Physician 21:541–558

    PubMed  Google Scholar 

  43. Wolfe F, Butler SH, Fitzcharles M et al (2019) Revised chronic widespread pain criteria: development from and integration with fibromyalgia criteria. Scand J pain 20:77–86. https://doi.org/10.1515/sjpain-2019-0054

    Article  PubMed  Google Scholar 

  44. Toda K (2020) Should we use linked chronic widespread pain and fibromyalgia diagnostic criteria? Scand J Pain 20(2):421. https://doi.org/10.1515/sjpain-2019-0165

    Article  PubMed  Google Scholar 

  45. Arnold LM, Bennett RM, Crofford LJ et al (2019) AAPT diagnostic criteria for fibromyalgia. J Pain 20:611–628. https://doi.org/10.1016/j.jpain.2018.10.008

    Article  PubMed  Google Scholar 

  46. Pontes-Silva A (2022) A mathematical model to compare muscle-strengthening exercises in the musculoskeletal rehabilitation. Musculoskelet Sci Pract 6:102635. https://doi.org/10.1016/j.msksp.2022.102635

    Article  Google Scholar 

  47. Mendoza-Muñoz M, Morenas-Martín J, Rodal M et al (2021) Knowledge about fibromyalgia in fibromyalgia patients and its relation to HRQoL and physical activity. Biology (Basel). https://doi.org/10.3390/biology10070673

    Article  PubMed  Google Scholar 

  48. Avis KA, Stroebe M, Schut H (2021) Stages of grief portrayed on the internet: a systematic analysis and critical appraisal. Front Psychol 12:772696. https://doi.org/10.3389/fpsyg.2021.772696

    Article  PubMed  PubMed Central  Google Scholar 

  49. Arcaya MC, Saiz A (2020) Does education really not matter for health? Soc Sci Med 258:113094. https://doi.org/10.1016/j.socscimed.2020.113094

    Article  PubMed  Google Scholar 

  50. Collado A, Gomez E, Coscolla R et al (2014) Work, family and social environment in patients with fibromyalgia in Spain: an epidemiological study: EPIFFAC study. BMC Health Serv Res 14:513. https://doi.org/10.1186/s12913-014-0513-5

    Article  PubMed  PubMed Central  Google Scholar 

  51. Ben-Yosef M, Tanai G, Buskila D et al (2020) Fibromyalgia and its consequent disability. Isr Med Assoc J 22(7):446-450

    PubMed  Google Scholar 

  52. Tomaino L, Serra-Majem L, Martini S et al (2021) Fibromyalgia and nutrition: an updated review. J Am Coll Nutr 40:665–678. https://doi.org/10.1080/07315724.2020.1813059

    Article  CAS  PubMed  Google Scholar 

  53. IBGE — Brazilian Institute of Geography and Statistics (2021) Use of internet, television, and cell phones in Brazil

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Acknowledgements

We would like to thank all participants of the present study. The authors would like to thank Mr. Guilherme Tavares de Arruda (PT, MSc, PhD student) for the help on the assessment of the study’s first draft. We also would like to thank funders: Coordination for the Improvement of Higher Education Personnel, Brazil (CAPES) – Finance Code 001, The National Council for Scientific and Technological Development (CNPq), and São Paulo Research Foundation (FAPESP), Grant Number 2020/08870-8 (IN). The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.

Funding

The study was partially supported by Coordination of Improvement of Higher Education Personnel—Brazil (CAPES) – Finance Code 001, The National Council for Scientific and Technological Development (CNPq), and São Paulo Research Foundation (FAPESP), grant number 2020/08870–8 (IN). Role of funding sources: The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.

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Authors and Affiliations

  1. Study Group on Chronic Pain (NEDoC), Laboratory of Research on Electrophysical Agents (LAREF), Physical Therapy Department, Universidade Federal de São Carlos, Rodovia Washington Luís, Km 235, São Carlos, SP, 13565-905, Brazil

    André Pontes-Silva, Isadora Nunes & Mariana Arias Avila

  2. Department of Nursing, Pharmacology and Physiotherapy, University of Cordoba, Cordoba, Spain

    Amaranta De Miguel-Rubio

  3. Postgraduate Program in Rehabilitation Sciences, Department of Physical Therapy, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil

    Marcelo Cardoso de Souza

  4. Department of Physical Therapy, Graduate Program in Health Science and Graduate Program in Physiological Science, Universidade Federal de Sergipe, Aracaju, SE, Brazil

    Josimari Melo DeSantana

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  1. André Pontes-Silva
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  2. Isadora Nunes
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  3. Amaranta De Miguel-Rubio
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  4. Marcelo Cardoso de Souza
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  5. Josimari Melo DeSantana
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  6. Mariana Arias Avila
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Contributions

AP-S: Conceptualization, Methodology, Data analysis and interpretation, Writing- Reviewing and Editing; IN: Data collection; Data analysis, Writing- Reviewing and Editing; AM-R: Data analysis and interpretation, Writing- Reviewing and Editing; MCS: Conceptualization, Data interpretation, Writing- Reviewing and Editing; JMD: Conceptualization, Data interpretation, Writing- Reviewing and Editing; MAA: Conceptualization, Project Administration, Funding requisition, data interpretation, Conceptualization, Data interpretation, Writing- Reviewing and Editing.

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Correspondence to Mariana Arias Avila.

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Pontes-Silva, A., Nunes, I., De Miguel-Rubio, A. et al. Social variables for replication of studies using mean scores of social support, self-care, and fibromyalgia knowledge: a cross-sectional study. Rheumatol Int 43, 1705–1721 (2023). https://doi.org/10.1007/s00296-023-05374-7

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