Functional limitations and physical symptoms of individuals with chronic pain

References

• Bingefors K, Isacson D. Epidemiology, co-morbidity, and impact on health-related quality of life of self-reported headache and musculoskeletal pain – a gender perspective. Eur J Pain 2004;8:435–50.
   PubMed Web of Science ®Google Scholar
• Hagen KB, Bjorndal A, Uhlig T, Kvien TK. A population study of factors associated with general practitioner consultation for non-inflammatory musculoskeletal pain. Ann Rheum Dis 2000; 59:788–93.
   PubMed Web of Science ®Google Scholar
• International Association for the Study of Pain (IASP). Pain 1986;Suppl 3:S1–225.
   Google Scholar
• Breivik H, Collett B, Ventafridda V, Cohen R, Gallacher D. Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain 2006;10:287–333.
   PubMed Web of Science ®Google Scholar
• Blyth FM, March LM, Brnabic AJ, Jorm LR, Williamson M, Cousins MJ. Chronic pain in Australia: a prevalence study. Pain 2001;89:127–34.
   PubMed Web of Science ®Google Scholar
• Moulin DE, Clark AJ, Speechley M, Morley-Forster PK. Chronic pain in Canada – prevalence, treatment, impact and the role of opioid analgesia. Pain Res Manag 2002;7:179–84.
   PubMedGoogle Scholar
• Parsons S, Breen A, Foster NE, Letley L, Pincus T, Vogel S, . Prevalence and comparative troublesomeness by age of musculoskeletal pain in different body locations. Fam Pract 2007;24:308–16.
   PubMed Web of Science ®Google Scholar
• Rustoen T, Wahl AK, Hanestad BR, Lerdal A, Paul S, Miaskowski C. Prevalence and characteristics of chronic pain in the general Norwegian population. Eur J Pain 2004;8:555–65.
   PubMed Web of Science ®Google Scholar
• Gunnarsdottir S, Ward SE, Serlin RC. A population based study of the prevalence of pain in Iceland. Scand J Pain 2010;1:151–7.
   PubMedGoogle Scholar
• Johannes CB, Le TK, Zhou X, Johnston JA, Dworkin RH. The prevalence of chronic pain in United States adults: results of an internet-based survey. J Pain 2010;11:1230–9.
   PubMed Web of Science ®Google Scholar
• Wong WS, Fielding R. Prevalence and characteristics of chronic pain in the general population of Hong Kong. J Pain 2011;12:236–45.
   PubMed Web of Science ®Google Scholar
• Picavet HS, Schouten JS. Musculoskeletal pain in the Netherlands: prevalences, consequences and risk groups, the DMC(3)-study. Pain 2003;102:167–78.
   PubMed Web of Science ®Google Scholar
• Eriksen J, Jensen MK, Sjogren P, Ekholm O, Rasmussen NK. Epidemiology of chronic non-malignant pain in Denmark. Pain 2003;106:221–8.
   PubMed Web of Science ®Google Scholar
• Sjogren P, Ekholm O, Peuckmann V, Gronbaek M. Epidemiology of chronic pain in Denmark: an update. Eur J Pain 2009;13:287–92.
   PubMed Web of Science ®Google Scholar
• Lee GK, Chronister J, Bishop M. The effects of psychosocial factors on quality of life among individuals with chronic pain. Rehabil Couns Bull 2008;51:177–89.
   Web of Science ®Google Scholar
• Mantyselkä PT, Turunen JHO, Ahonen RS, Kumpusalo EA. Chronic pain and poor self-rated health. J Am Med Assoc 2003;290:2435–42.
   PubMed Web of Science ®Google Scholar
• Rafnsson V, Steingrímsdóttir OA, Olafsson MH, Sveinsdóttir T. [Musculoskeletal disorders in the Icelandic population], in Swedish. Nord Med 1989;104:104–7.
   PubMedGoogle Scholar
• Eriksen J, Sjogren P, Ekholm O, Rasmussen NK. Health care utilisation among individuals reporting long-term pain: an epidemiological study based on Danish National Health Surveys. Eur J Pain 2004;8:517–23.
   PubMed Web of Science ®Google Scholar
• Blyth FM, March LM, Brnabic AJ, Cousins MJ. Chronic pain and frequent use of health care. Pain 2004;111:51–8.
   PubMed Web of Science ®Google Scholar
• Birgisson H, Jonsson H, Geirsson AJ. [The prevalence of fibromyalgia and chronic widespread musculoskeletal pain in Iceland], in Icelandic. Laeknabladid 1998;84:636–642
   PubMedGoogle Scholar
• Dillman DA. The design and administration of mail surveys. Annu Rev Sociol 1991;17:225–49.
   Web of Science ®Google Scholar
• Buratta V, Frova L, Gargiulo L, Gianicolo E, Prati S, Quattrociocchi L. Development of a common instrument for chronic physical conditions. In: Nosikov A, Gudex C, editors. EUROHIS: Developing common instruments for health surveys. Amsterdam: IOS Press, 2003:21–34.
   Google Scholar
• Vilhjalmsson R, Sveinbjarnardottir E, Kristjansdottir G. Factors associated with suicide ideation in adults. Soc Psychiatry Psychiatr Epidemiol 1998;33:97–103.
   PubMed Web of Science ®Google Scholar
• Hays R, Bjorner J, Revicki D, Spritzer K, Cella D. Development of physical and mental health summary scores from the Patient-Reported Outcomes Measurement Information System (PROMIS) global items. Qual Life Res 2009;18:873–80.
   PubMed Web of Science ®Google Scholar
• Ware JE Jr. SF-36 health survey update. Spine (Phila Pa 1976) 2000;25:3130–9.
   PubMed Web of Science ®Google Scholar
• Garratt A, Schmidt L, Mackintosh A, Fitzpatrick R. Quality of life measurement: bibliographic study of patient assessed health outcome measures. Br Med J 2002;324:1417.
   PubMed Web of Science ®Google Scholar
• McHorney CA, Ware JE Jr, Lu JF, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care 1994;32:40–66.
   PubMed Web of Science ®Google Scholar
• Jenkinson C, Wright L, Coulter A. Criterion validity and reliability of the SF-36 in a population sample. Qual Life Res 1994;3:7–12.
   PubMed Web of Science ®Google Scholar
• Hagstromer M, Oja P, Sjostrom M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr 2006;9:755–62.
   PubMed Web of Science ®Google Scholar
• Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, . International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003;35:1381–95.
   PubMed Web of Science ®Google Scholar
• van der Ploeg HP, Tudor-Locke C, Marshall AL, Craig CL, Hagstromer M, Sjostrom M, . Reliability and validity of the international physical activity questionnaire for assessing walking. Res Q Exerc Sport 2010;81:97–101.
   PubMed Web of Science ®Google Scholar
• Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ) – short and long forms, 2005. Available from: www.ipaq.ki.se/scoring.pdf.
   Google Scholar
• Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, . Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc 2007; 39:1423–34.
   PubMed Web of Science ®Google Scholar
• Strong K, Mathers C, Leeder S, Beaglehole R. Preventing chronic diseases: how many lives can we save? Lancet 2005;366:1578–82.
   PubMed Web of Science ®Google Scholar
• Jonsson SH, Gudlaugsson JO, Gylfason HF, Gudmundsdottir DG. Health and well-being of Icelanders 2007. Project report. Reykjavik: Public Health Institute, Iceland, 2011.
   Google Scholar
• Ahacic K, Kareholt I. Prevalence of musculoskeletal pain in the general Swedish population from 1968 to 2002: age, period, and cohort patterns. Pain 2010;151:206–14.
   PubMed Web of Science ®Google Scholar
• Mallen C, Peat G, Thomas E, Croft P. Severely disabling chronic pain in young adults: prevalence from a population-based postal survey in North Staffordshire. BMC Musculoskelet Disord 2005;6:42.
   PubMed Web of Science ®Google Scholar
• Elfving B, Andersson T, Grooten WJ. Low levels of physical activity in back pain patients are associated with high levels of fear-avoidance beliefs and pain catastrophizing. Physiother Res Int 2007;12:14–24.
   PubMedGoogle Scholar
• Friedrich M, Hahne J, Wepner F. A controlled examination of medical and psychosocial factors associated with low back pain in combination with widespread musculoskeletal pain. Phys Ther 2009;89:786–803.
   PubMed Web of Science ®Google Scholar
• Verbunt JA, Seelen HA, Vlaeyen JW, van der Heijden GJ, Knottnerus JA. Fear of injury and physical deconditioning in patients with chronic low back pain. Arch Phys Med Rehabil 2003;84:1227–32.
   PubMed Web of Science ®Google Scholar
• Verbunt JA, Sieben JM, Seelen HA, Vlaeyen JW, Bousema EJ, van der Heijden GJ, . Decline in physical activity, disability and pain-related fear in sub-acute low back pain. Eur J Pain 2005;9:417–25.
   PubMed Web of Science ®Google Scholar
• Nijs J, Van de Putte K, Louckx F, Truijen S, De Meirleir K. Exercise performance and chronic pain in chronic fatigue syndrome: the role of pain catastrophizing. Pain Med 2008;9:1164–72.
   PubMed Web of Science ®Google Scholar
• Spenkelink CD, Hutten MM, Hermens HJ, Greitemann BO. Assessment of activities of daily living with an ambulatory monitoring system: a comparative study in patients with chronic low back pain and nonsymptomatic controls. Clin Rehabil 2002;16:16–26.
   PubMed Web of Science ®Google Scholar
• Young AE, Wasiak R, Phillips L, Gross DP. Workers’ perspectives on low back pain recurrence: ‘it comes and goes and comes and goes, but it’s always there’. Pain 2011;152:204–11.
   PubMed Web of Science ®Google Scholar
• Population rate 1st December 2007. Statistics Iceland 2007. Available from: http://hagstofa.is/Pages/95?NewsID=3364.
   Google Scholar
• Saastamoinen P, Laaksonen M, Leino-Arjas P, Lahelma E. Psychosocial risk factors of pain among employees. Eur J Pain 2009;13:102–8.
   PubMed Web of Science ®Google Scholar
• Palmer KT, Syddall H, Cooper C, Coggon D. Smoking and musculoskeletal disorders: findings from a British national survey. Ann Rheum Dis 2003;62:33–6.
   PubMed Web of Science ®Google Scholar
• Goldberg MS, Scott SC, Mayo NE. A review of the association between cigarette smoking and the development of nonspecific back pain and related outcomes. Spine (Phila Pa 1976) 2000;25:995–1014.
   PubMed Web of Science ®Google Scholar
• John U, Meyer C, Rumpf HJ, Hapke U. Nicotine dependence criteria and nicotine withdrawal symptoms in relation to pain among an adult general population sample. Eur J Pain 2009;13:82–8.
   PubMed Web of Science ®Google Scholar
• Macfarlane GJ, Norrie G, Atherton K, Power C, Jones GT. The influence of socioeconomic status on the reporting of regional and widespread musculoskeletal pain: results from the 1958 British Birth Cohort Study. Ann Rheum Dis 2009;68:1591–5.
   PubMed Web of Science ®Google Scholar
• Caldwell J, Hart-Johnson T, Green CR. Body mass index and quality of life: examining blacks and whites with chronic pain. J Pain 2009;10:60–7.
   PubMed Web of Science ®Google Scholar
• Linnman C, Appel L, Soderlund A, Frans O, Engler H, Furmark T, . Chronic whiplash symptoms are related to altered regional cerebral blood flow in the resting state. Eur J Pain 2009;13:65–70.
   PubMed Web of Science ®Google Scholar
• Larsman P, Hanse JJ. The impact of decision latitude, psychological load and social support at work on the development of neck, shoulder and low back symptoms among female human service organization workers. Int J Ind Ergonom 2009;39:442–6.
   Web of Science ®Google Scholar
• Johnston V, Jimmieson NL, Souvlis T, Jull G. Interaction of psychosocial risk factors explain increased neck problems among female office workers. Pain 2007;129:311–20.
   PubMed Web of Science ®Google Scholar
• Szeto GPY, Straker LM, O’Sullivan PB. Neck–shoulder muscle activity in general and task-specific resting postures of symptomatic computer users with chronic neck pain. Man Ther 2009;14:338–45.
   PubMed Web of Science ®Google Scholar
• van den Heuvel SG, van der Beek AJ, Blatter BM, Hoogendoorn WE, Bongers PM. Psychosocial work characteristics in relation to neck and upper limb symptoms. Pain 2005;114:47–53.
   PubMed Web of Science ®Google Scholar