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184 B. Larsson et al. sociated with CP (5, 17–19), and some of these are more frequent in widespread pain than in local pain (14). Moreover, some studies provide prediction mo- dels after adjustment for baseline pain (4, 5, 7), while others do not (6). Thus, it is not known whether the reported pattern of pain predictors would be the same if such adjustments were performed. The impact of socioeconomic factors and comorbi- dities on characteristics of pain (intensity, spreading and sensitivity) might differ from the longitudinal perspective. More knowledge of predictors of inten- sity, spread and sensitivity of CP is needed, and it is reasonable to assume that several factors could serve as predictors for the development and persistence of different pain characteristics. There is agreement that both the pain experience and the CP condition must be bio-psychosocially assessed and managed in the clinical situation (20, 21). The rationale for this study is that longitudinal associ- ations between pain characteristics and sociodemograp- hic and physical and psychological comorbidities have been incompletely examined in multivariate models. The aim of this study was to elucidate the multiva- riate longitudinal associations, using 2-year follow-up epidemiological data (collected in 2013 and 2015) from a general population in south-eastern Sweden (the SWEPAIN cohort) to examine whether characte- ristics of pain are predicted by demographic features, socioeconomic conditions and certain comorbidities. It was hypothesized that: • sociodemographic features and certain comorbidities would predict pain intensity, spread and sensitivity at a 2-year follow-up survey of a general population; • baseline adjustments of pain intensity, spread of pain on the body, and sensitivity would markedly affect the pattern of important predictors. METHODS Design, subjects and procedures The present study used data from the SWEPAIN cohort (14, 22), which has been approved by the local ethics committee of Linköping University, Sweden (Dnr: 2011 72/31). Baseline data (T0) were collected using a stratified random sample of 34,000 individuals from a sampling frame based on the Swe- dish Total Population Register. The sample frame consisted of 404,661 individuals who were 16–85 years old and living in south-eastern Sweden. The random sampling was stratified by sex and municipality to reach individuals living in urban and rural areas (14). Data were collected by Statistics Sweden. The selected individuals received a postal questionnaire in March 2013, which could be returned either by post or electronically. A reminder was sent to non-responders after 2 weeks and, if necessary, another re- minder was sent 2 weeks later. The collection of questionnaires ended in May 2013. Follow-up data (T1) were collected 2 years www.medicaljournals.se/jrm later. Only individuals who completed and returned the first questionnaire were eligible to participate in the follow-up as- sessment. Eligible individuals received a postal survey in March 2015, which could be returned by post or electronically. Two reminders were sent. Collection of follow-up data ended in May 2015. The surveys at T0 and T1 included the same questions. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) (23) statement was followed. Predictor variables Sociodemographic features. The survey questions about basic de- mographic data (age and sex), country of birth (Sweden vs abroad (i.e. being an immigrant)), citizenship (Swedish vs other), marital status (single, married, divorced, or widowed), educational level (elementary school, secondary upper school/vocational training, or university education), employment status (employment vs unemployment), and household annual income in 2010. Physical and psychological comorbidities. Assessment of co- morbidities was based on a self-reported questionnaire published elsewhere (10, 24, 25). A copy of the questionnaire is available from the corresponding author on request. Briefly, it covers 12 disorders and diseases: traumatic injuries; rheumatoid arthritis and osteoarthritis (RA/OA); cardiovascular disorders (CVD, in- cluding high blood pressure, angina pectoris, and heart attacks); pulmonary disorders; gastrointestinal (GI) disorders; disorders of the central nervous system (CNS) (including ophthalmolo- gical and ear–nose–throat disorders); urogenital disorders; skin disorders; tumours and cancer; metabolic diseases (including diabetes, obesity, anorexia, bulimia, and goitre); depression; and anxiety. These comorbidities were reported on a 5-point scale: 1: no; 2: yes, according to both my own and my doctor’s opinions; 3: yes, according to my own opinion; 4: yes, according to my doctor’s opinion; and 5: I do not know. The answers for 2, 3, and 4 were combined into category “yes” in order to obtain a robust measurement of the presence of the specific comorbidity vs the answer “no” (10, 24, 25). The answer option “I do not know” was also recorded as “no”. Self-reported assessments of comorbidities are widely used in the literature and have been reported to be reliable (26). Selection of predictor variables The selection of these predictor variables (e.g. socio-demo- graphic factors and comorbidities) was based on recognized associations with pain intensity, spread and sensitivity of pain (2–8, 27–31) and on disease states common worldwide. Outcome variables Definition of chronic pain. All respondents were asked to report if they had CP, defined by a single question “Do you frequently (usually) have pain lasting more than 3 months?” (yes/no). Subjects who responded “no” were assigned to the no pain (NP) cohort, while those who responded “yes” were assigned to the chronic pain (CP) cohort. Pain intensity. Only those respondents who were assigned to the CP cohort were additionally asked to complete their mean pain intensity during the previous 7 days on a numeric rating scale (NRS7d) (0 = not at all to 10 = worst imaginable pain) (32). Pain spreading categories based on the number and location of pain sites. The participants with pain marked the site of their pain during the previous 7 days on a body chart divided into 45 sections (22 on the front and 23 on the back) (14). One marked