- Research article
- Open Access
High prevalence of chronic musculoskeletal complaints among women in a Norwegian general population: the Tromsø study
© Andorsen et al.; licensee BioMed Central Ltd. 2014
- Received: 19 June 2014
- Accepted: 31 July 2014
- Published: 8 August 2014
The aims of this study were to estimate the prevalence and severity of MSCs in the adult general population of Northern Norway, and to study associations between MSCs and various demographic and lifestyle variables.
Data from the Tromsø 6 survey (2007–2008) of the population-based Tromsø Study were used (12,984 participants, 65.7% participation rate). We included 8,439 participants aged 30–79 years in the analyses. Associations between demographic and lifestyle variables and chronic MSCs (i.e., those lasting for at least 3 consecutive months, hereafter referred to as simply MSCs) was examined using logistic regression analysis.
The total age-adjusted prevalence of both mild and severe MSCs was 63.4% and 52.9% in women and men, respectively. In women, the age-adjusted prevalence was 44.0% and 19.4% for mild and severe MSCs, respectively; the corresponding values in men were 40.8% and 12.1%. The highest prevalence was found in the neck/shoulder region (34.2% and 8.9% for mild and severe MSCs, respectively). The prevalence of MSCs in ≥5 body regions was three times higher in women than in men (14.9% vs 5.6%). Current smoking was significantly associated with MSCs (odds ratio [OR]: 1.41, 95% confidence interval [CI]: 1.22-1.62), but showed a stronger effect in women (OR: 1.60, 95% CI: 1.30-1.96) than in men (OR: 1.25, 95% CI: 1.02-1.52). Self-perceived poor health was strongly associated with MSC (OR: 3.73, 95% CI: 3.27-4.24). Moderate vs low level of physical activity was associated with MSCs only in women (OR: 1.37, 95% CI: 1.12-1.67). Other demographic and lifestyle variables associated with MSCs were age (OR: 1.04, 95% CI: 1.01-1.06), body mass index (BMI) >30 kg/m2 (OR: 1.42, 95% CI: 1.23-1.66), low education level (OR: 1.78, 95% CI: 1.53-2.08) and former smoking (OR: 1.21, 95% CI: 1.09-1.35). Marital status, BMI <18.5 kg/m2, high and very high level of physical activity was not associated with MSCs.
Chronic MSCs are highly prevalent in this Northern Norwegian population, and are strongly related to self-perceived poor health. Women have a higher burden of MSCs than men. Most demographic and lifestyle variables associated with MSCs showed stronger associations in women than in men.
- Musculoskeletal complaints
- Self-perceived health
Musculoskeletal complaints (MSCs) are a major and costly health problem in Norway. MSCs are often the object of visits to general practitioners; they are a common reason for sickness absence from work, and represent a heavy burden on the disability pension fund in Norway [1–3]. The reported prevalence of MSCs in different populations varies from 17.1% to 78.6% [4–15]. Differences in case definition, response rates and cohorts may explain these large variations . Many studies reported gender differences in their prevalence estimates [4, 6, 8, 10, 13, 17], while others did not [5, 11, 14]. Some authors have reported that the prevalence of MSCs increases steadily with age [11, 13, 17], while others have described a peak in prevalence at younger ages [4–6, 10, 12, 14, 15].
Associations between MSCs and several negative health determinants, such as smoking, overweight, education level, and low level of physical activity, have been suggested, but are not consistent across studies [4, 5, 10, 11, 13, 18, 19]. To develop more effective preventive strategies, we need to understand more about the gender- and age-specific distribution of MSCs, as well as the main factors with which they are associated. Until now, only prevalence data on neck/shoulder pain and headache have been reported from Northern Norway . Tromsø is the largest city in Northern Norway. It is situated ≈ 400 km north of the Arctic Circle, and has approximately 70,000 inhabitants. The population of Tromsø is relatively well educated, and the city has its own university. The physical living conditions are dominated by dramatic changes in sunlight, with 2 months of midnight sun and 2 months of polar night.
The aims of this study were to estimate the prevalence and severity of MSCs by age and gender in a large adult population in Northern Norway, and to study the association between MSCs and various demographic and lifestyle variables.
The Tromsø study
The Tromsø Study is a longitudinal, population-based, multi-purposed health study carried out in the municipality of Tromsø, Northern Norway. The study consists of six repeated surveys and medical examinations administered between 1974 (the Tromsø 1 survey) and 2007–2008 (the Tromsø 6 survey). Each survey was conducted in two phases, with the most basic examination conducted at the first visit, and more extensive examinations done at the second visit.
The Regional Committee of Research Ethics and the Norwegian Data Inspectorate recommended that the Tromsø 6 survey be carried out, and written informed consent was obtained from all participants.
All residents of Tromsø ≥25 years of age were invited to participate in the Tromsø 4 survey (1994–1995), and a large subgroup of these (n = 7,965) also attended the second visit of the Tromsø 4 survey. Those who still resided in Tromsø in September 2007 were invited to the Tromsø 6 survey, along with some whole birth cohorts and random samples of other birth cohorts as follows: All residents of Tromsø aged 42–44 and 60–87 years (n = 12,578), a 10% random sample of individuals aged 30–39 years (n = 1056), a 40% random sample of individuals aged 43–59 years (n = 5787), and finally subjects who attended the second visit of Tromsø 4, if not already included in the three groups above (n = 341) . In principle, inviting total birth cohorts is preferable. However, due to economic constraints in the Tromsø 6 survey, a careful consideration of age groups and sample size within the age groups was made on based on scientific evidence and the Tromsø 6 survey protocol.
Demographic and lifestyle variables
BMI was calculated from height and weight data collected during the medical examination, and categorized into four groups: <18.5, 18.5-24.9, 25–29.9 and >30 kg/m2. Q1 and Q2 are available on the Tromsø Study’s website (http://tromsoundersokelsen.uit.no/tromso/) . Q1 included questions about age, gender, marital status, self-perceived health status, education level, level of physical activity and smoking. The participants were categorized as married if they answered either “married” or “registered partnership”. The question on self-perceived health status had five alternatives: very good, good, neither good nor bad, bad and very bad, which were collapsed into two categories: poor (neither good nor bad, bad and very bad) and good (good and very good) . For descriptive purposes education level was collapsed from five levels into two: <13 years and ≥13 years of education, but in the regression model all five education levels were used. The question on level of physical activity had four alternatives (low, moderate, high, and very high), and smoking status was defined as current, former or never.
Information on chronic MSCs, i.e., suffering from pain and/or stiffness in any of the specified body regions lasting for at least 3 consecutive months during the previous year (hereafter referred to as simply MSCs), was collected from Q2. There was one question for each of the body regions considered: neck/shoulder, arm/hands, upper back, lumbar back, hip/leg/feet and other regions. Participants were asked if they had suffered from pain and/or stiffness in any of these body regions lasting for at least 3 consecutive months during the previous year. The respondents were asked to categorize their symptoms as “no complaints”, “mild complaints” and “severe complaints”. To identify an overall prevalence, we collapsed the answers from all 6 body regions into an overall variable. Those who answered “no complaints” for all 6 body regions were categorized as “no MSCs”. Those who answered either “mild complaints” or “severe complaints” for at least one body region were categorized as “mild MSCs” and “severe MSCs”, respectively. In addition, we computed a variable grouping the respondents by number of body regions reported [8, 11, 24, 25]: 1 region, 2 regions, 3 regions, 4 regions and ≥5 regions.
Percentages were used to describe the prevalence of MSCs. Crude prevalence of mild and severe MSCs in women and men were calculated by body region and by age group. Age-adjusted prevalence was calculated using the age distribution of the total population of Tromsø in 2005 (Statistics Norway) as a reference. Differences in demographic and lifestyle characteristics between the three categories of MSCs were compared using ANOVA and the Tukey post-hoc test for continuous variables. The Pearson chi-square test and z-test were used to compare the categorical variables.
We examined the influence of demographic and lifestyle variables on MSCs using univariate and multivariate logistic regression. The analyses were first run for each variable independently, thereafter adjusting for age and gender. Finally, all variables with a significant association in the univariate analyses were included in the multivariate model.
Missing values on demographic and lifestyle variables were: BMI (n = 7), self-perceived health status (n = 47), smoking status (n = 81), marital status (n = 0), education level (n = 72), and physical activity (n = 465). Statistical analyses were performed in SPSS version 19. All tests were two-sided and a p-value <0.05 was considered significant.
Prevalence of musculoskeletal complaints (MSCs) i by 10-year age group in an adult general population in Northern Norway
Severity of MSCs
Total (95% CI)
n = 408
n = 2,790
n = 1,697
n = 2,579
n = 965
n = 8,439
Prevalence of musculoskeletal complaints i by gender and body region affected in an adult general population in Northern Norway
Total (95% CI)
Prevalence of musculoskeletal complaints i by number of body regions affected in an adult general population in Northern Norway
N = 8,439
Total (95% CI)
Distribution of demographic and lifestyle characteristics in women and men divided by severity of musculoskeletal complaints (MSCs) i in an adult general population in Northern Norway
Women (N = 4,220)
Men (N = 4,219)
N = 8,439
n = 1,393
n = 1,973
n = 854
n = 1,807
n = 1,879
n = 533
Self-perceived health status, poor (%)
Marital status (married), (%)
Education level (<13 years), (%)
Level of physical activity (%)
In univariate logistic regression analysis (data not shown) marital status, moderate level of physical activity, and BMI <18.5 kg/m2 were not significantly associated with MSCs in either women or men. The other demographic and lifestyle variables showed a positive association with MSCs, except high and very high level of physical activity, which were significantly, but negatively associated. Additionally, we found that the ORs of MSCs decreased from 2.53 (95% CI: 2.22-2.89) in those with the lowest education level to 1.28 (95% CI: 1.12-1.45) in those with the next highest education level, when the highest education level was used as a reference (OR: 1.00). The results from the univariate analyses did not differ when we adjusted for age and gender.
Demographic and lifestyle characteristics associated with musculoskeletal complaints i in 8,439 women and men from an adult general population in Northern Norway in a multivariate regression model
Age (5-year age groups)
Gender (women vs men)
Self-perceived health status (poor vs good)
Never smoker (reference)
University <4 years
University >4 years (reference)
18.5-24.9 kg/m2 (reference)
Level of physical activity
A high prevalence of MSCs was found in this large-scale cross-sectional study. The total crude prevalence of MSCs was 62%, with 45.6% of the participants reporting mild MSCs and 16.4% reporting severe MSCs. Other studies from Norway and Sweden reported a prevalence of MSCs in the general population of 24.4% , 34.5%  and 50.4% . However, these studies used a screening question with yes/no response alternatives. This is in contrast to the questions in our study, in which the participants were given three alternatives. Thus, a direct comparison is difficult. Some of those who answered mild MSCs may have answered no to a dichotomized yes/no question. If this is the case, it can explain the relatively higher prevalence found in the present study.
To balance this, we chose to present prevalence stratified by the number of body regions affected without taking the severity of MSCs into account. Our finding of decreasing prevalence with increasing number of body regions affected, is in concordance with previous studies [8, 11, 24]. We also showed that men had a higher prevalence than women among those reporting MSCs in one or two body regions, but women reported more MSCs in the groups with more than 3 body regions affected. In addition, among those with ≥5 body regions affected, women had a prevalence that was nearly three times higher than that of men. Similar findings were also reported by Wijnhoven et al. in their 2006 study from the Netherlands , and taken together with our study, these findings indicate that women have a high burden of severe MSCs.
The severity of MSCs in our study was dependent on the age distribution – the prevalence of mild MSCs steadily increased with age, whereas the prevalence of severe MSCs peaked at around 50–59 years of age. The steady increase in mild MSCs could reflect an physiological effect related to the aging process, and the decline of severe MSCs after 60 years of age may reflect reduced mental and physical stress after retirement  or increased mortality in this group .
Like other studies, we found the highest prevalence of MSCs in the neck/shoulder and lumbar back regions. However, a direct comparison of the prevalence that we found with that in other studies is difficult because the present study put the neck and shoulder together in one body region, while others separated these into two body regions [4, 8], or combined them with different body regions [11, 12, 14]. Hasvold found a prevalence of daily neck/shoulder pain in a Northern Norwegian population (1989/1990) of 7.8% for men and 12.5% for women . We found nearly the same prevalence as that we found for severe MSCs in the neck/shoulder region, despite some differences in the questionnaire, which indicates that the prevalence of MSCs in Northern Norway has been quite stable.
Most of the previous studies evaluating characteristics associated with MSCs did not stratify their regression analyses by gender. Thus, only the gender-independent ORs can be compared. Some studies reported an increasing OR for MSCs with increasing age [4, 5, 9], which is in concordance with our findings, while others found age to be either protective or not related [6, 10]. The positive association between age and MSCs might be explained by an accumulation of associated demographic and lifestyle variables over time, the effects of which increases with age.
Some [4, 6, 8–10], but not all [5, 14] studies have shown that female gender is associated with reporting MSCs. We demonstrated that female gender increased the OR of having MSCs by 66%. Women also reported more multi-region and severe MSCs than men. Hagen et al.  found an association between current smoking and MSCs. We were also able to show this association in our model stratified by gender, just as Palmer et al.  reported. Additionally, we found former smoking to be associated with MSCs, but this relationship was weaker than for current smoking. There was a larger gender difference in the association between current smoking and MSCs than between former smoking and MSCs. This suggests that quitting smoking could greatly reduce the burden of MSCs, and that women would benefit more from this reduction than men.
When dichotomizing the BMI into 4 levels, we found obesity (BMI >30 kg/m2) to be positively associated with MSCs, which is in concordance with the report by Hagen et al. . Additionally, we found that underweight was not associated with MSCs in either direction. Our findings on the association between BMI and MSCs could suggest that body weight exerts a mechanical stress on the musculoskeletal system that gives rise to development of MSCs. However, it is strange that this should only be true for women. Since we cannot infer any causal association due to our cross-sectional design, it is indeed possible that MSCs contribute to obesity.
Some studies have reported that low education level is not associated with MSCs [5, 6], in contrast to reports by Rustøen et al.  and Hagen et al. . In our univariate analyses we found an inverse relationship between education level and MSCs, which persisted in the multivariate model and was almost identical for men and women. From a clinical perspective, this might be of interest. Indeed, paying more attention to those with the lowest education level could potentially have positive consequences in preventing MSCs. Marital status was not associated with MSCs in any of our analyses, including the multivariate analyses, which is in concordance with Rustøen et al.  and Bassols et al. . Therefore, in the final multivariate regression model we did not include marital status. In addition to education level, marital status was the only associated factor where the strong female association with MSCs was not present.
Self-perceived poor health status was strongly associated with MSC in the multivariate analysis and, interestingly, was on a similar level as that reported by Hagen et al. . This association may not be so interesting when discussing the potential risk factors of MSCs, because there is a substantial chance that a high burden of MSCs leads to poor self-perceived health status, and not vice-versa. However, if that is true, this association tells us that MSCs have a major negative influence on a person’s health and well-being, which may have crucial health effects .
In our univariate analyses, increasing level of physical activity was negatively associated with MSCs in both women and men. After adjusting for other covariates in our multivariate model, the relationship between physical activity and MSCs was attenuated. However, a moderate level of physical activity was positively associated with MSCs in women. Holth et al. reported that exercise had a preventive effect on MSCs in a prospective study , but we were not able to show such a clear association in our study. Our contradictory findings on physical activity might be a result of confounding bias or the fact that this is a cross-sectional study and that the outcome variable (MSCs) is influencing the level of physical activity unevenly among our participants.
The finding that many of the association with demographic and lifestyle variables, such as current smoking and BMI, was stronger in women, is an interesting one and might give us a hint as to the important aspects of the pathophysiology of MSCs. Thus, this gender difference warrants further research.
Strengths and limitations
This analysis included a large number of women and men with a wide age range from a large population-based study. The overall representativeness of the population of the Tromsø Study is described elsewhere . When stratified by age group, the attendance rate tended to be normally distributed; the youngest and oldest participants had the lowest attendance rate (Figure 1). It is possible that respondents in the youngest age group had a higher burden of disease than those who do not respond, and therefore might have been more engaged in research on health issues. If this is true, our study might overestimate the burden of MSCs in the youngest part of the population. However, we included the age group 30–39 years, despite low attendance, because MSCs are reported to be increasing in the young Norwegian population . Inclusion of participants in the age group 20–29 years would be a great contribution to the field, and should be included in future studies. The generalizability of the present findings should be limited to those 30–80 years old.
Many participants were excluded from the analysis because of missing answers to relevant questions. These participants might selectively answer only questions about complaints they had and left the rest of questions unanswered. In sensitivity analysis where all missing values were coded as negative answers, the prevalence was slightly higher (mild MSCs: 48.2%, severe MSCs: 18.2%), but the regression results remained unchanged.
More excluded participants were female (59.5% vs 50%), older (59.8 vs 54.9 years), had poor self-reported health status (43.7% vs 28.3%), and less had a high education level (26.9% vs 45.1%) compared to those included. This could have led to the underestimation of the associations found in the regression analyses.
In future studies it is essential that identical phrasing of the questions be used, so that comparison and incidence analyses can be done. However, one should consider asking for only a yes/no response for these variables. Indeed, the questionnaires in the Tromsø study are already wide-ranging, and a simplification of the variables would make the participants’ task easier.
Chronic MSCs are prevalent in this Northern Norwegian population, and self-perceived poor health was strongly related to MSCs. Women had a higher burden of MSCs than men. The prevalence decreased when the severity of complaints increased. The lifestyle factors associated with MSCs were stronger in women than in men. This gender difference needs to be further investigated.
The authors thank the participants of the Tromsø Study for their continuing cooperation and the leaders of the Tromsø Study for providing access to the data. This work was supported by an internal grant from the medical students’ research program at the University of Tromsø, The Arctic University of Norway.
- Steinsbekk A, Adams J, Sibbritt D, Jacobsen G, Johnsen R: The profiles of adults who consult alternative health practitioners and/or general practitioners. Scand J Prim Health Care. 2007, 25: 86-92. 10.1080/02813430701267439.PubMedPubMed CentralView ArticleGoogle Scholar
- Statistics of Sick-Leave in Norway 2001–2009.http://tjenester.nav.no/navstatistikk/logon/start.do?ivsLogonToken=A30APVW002.oera.no:6400@605624JSETvi92FCMAmwgE605622Jg5uP4ymWYAmCDKHONEOFF,
- Medisinske Årsaker Til Uførhet I Alderen 25–39 År.https://www.nav.no/Forsiden/_attachment/188884?=true&_ts=11fdc38b998,
- Hagen K, Linde M, Heuch I, Stovner LJ, Zwart JA: Increasing prevalence of chronic musculoskeletal complaints. a large 11-year follow-up in the general population (HUNT 2 and 3). Pain Med. 2011, 12: 1657-1666. 10.1111/j.1526-4637.2011.01240.x.PubMedView ArticleGoogle Scholar
- Bergman S, Herrstrom P, Hogstrom K, Petersson IF, Svensson B, Jacobsson LT: Chronic musculoskeletal pain, prevalence rates, and sociodemographic associations in a Swedish population study. J Rheumatol. 2001, 28: 1369-1377.PubMedGoogle Scholar
- Bassols A, Bosch F, Campillo M, Canellas M, Banos JE: An epidemiological comparison of pain complaints in the general population of Catalonia (Spain). Pain. 1999, 83: 9-16. 10.1016/S0304-3959(99)00069-X.PubMedView ArticleGoogle Scholar
- Kind P, Dolan P, Gudex C, Williams A: Variations in population health status: results from a United Kingdom national questionnaire survey. BMJ. 1998, 316: 736-741. 10.1136/bmj.316.7133.736.PubMedPubMed CentralView ArticleGoogle Scholar
- Wijnhoven HA, de Vet HC, Picavet HS: Prevalence of musculoskeletal disorders is systematically higher in women than in men. Clin J Pain. 2006, 22: 717-724. 10.1097/01.ajp.0000210912.95664.53.PubMedView ArticleGoogle Scholar
- Eriksen HR, Svendsrod R, Ursin G, Ursin H: Prevalence of subjective health complaints in the Nordic European countries in 1993. Eur J Publ Health. 1998, 8: 294-298. 10.1093/eurpub/8.4.294.View ArticleGoogle 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: 555-565. 10.1016/j.ejpain.2004.02.002.PubMedView ArticleGoogle Scholar
- Ng KF, Tsui SL, Chan WS: Prevalence of common chronic pain in Hong Kong adults. Clin J Pain. 2002, 18: 275-281. 10.1097/00002508-200209000-00001.PubMedView ArticleGoogle Scholar
- Andersson HI: The epidemiology of chronic pain in a Swedish rural area. Qual Life Res. 1994, 3 (Suppl 1): S19-S26.PubMedView ArticleGoogle Scholar
- Blyth FM, March LM, Brnabic AJ, Jorm LR, Williamson M, Cousins MJ: Chronic pain in Australia: a prevalence study. Pain. 2001, 89: 127-134. 10.1016/S0304-3959(00)00355-9.PubMedView ArticleGoogle Scholar
- Brattberg G, Thorslund M, Wikman A: The prevalence of pain in a general population. The results of a postal survey in a county of Sweden. Pain. 1989, 37: 215-222. 10.1016/0304-3959(89)90133-4.PubMedView ArticleGoogle Scholar
- Hoy D, Bain C, Williams G, March L, Brooks P, Blyth F, Woolf A, Vos T, Buchbinder R: A systematic review of the global prevalence of low back pain. Arthritis Rheum. 2012, 64: 2028-2037. 10.1002/art.34347.PubMedView ArticleGoogle Scholar
- Crombie IK, Davies HT, Macrae WA: The epidemiology of chronic pain: time for new directions. Pain. 1994, 57: 1-3. 10.1016/0304-3959(94)90102-3.PubMedView ArticleGoogle Scholar
- Buskila D, Abramov G, Biton A, Neumann L: The prevalence of pain complaints in a general population in Israel and its implications for utilization of health services. J Rheumatol. 2000, 27: 1521-1525.PubMedGoogle Scholar
- Palmer KT, Syddall H, Cooper C, Coggon D: Smoking and musculoskeletal disorders: findings from a British national survey. Ann Rheum Dis. 2003, 62: 33-36. 10.1136/ard.62.1.33.PubMedPubMed CentralView ArticleGoogle Scholar
- Holth HS, Werpen HK, Zwart JA, Hagen K: Physical inactivity is associated with chronic musculoskeletal complaints 11 years later: results from the Nord-Trondelag Health Study. BMC Musculoskelet Disord. 2008, 9: 159-10.1186/1471-2474-9-159.PubMedPubMed CentralView ArticleGoogle Scholar
- Hasvold T: Headache and Neck or Shoulder Pain. An Analysis of Musculoskeletal Problems in Three Comprehensive Population Studies in Northern Norway. PhD thesis. 1996, University of Tromsoe, Department of community medicineGoogle Scholar
- Eggen AE, Mathiesen EB, Wilsgaard T, Jacobsen BK, Njolstad I: The sixth survey of the Tromso Study (Tromso 6) in 2007–08: Collaborative research in the interface between clinical medicine and epidemiology: Study objectives, design, data collection procedures, and attendance in a multipurpose population-based health survey. Scand J Public Health. 2013, 41: 65-80. 10.1177/1403494812469851.PubMedView ArticleGoogle Scholar
- The Tromsoe study website. [http://www.tromsoundersokelsen.uit.no]
- Waterloo S, Ahmed LA, Center JR, Eisman JA, Morseth B, Nguyen ND, Nguyen T, Sogaard AJ, Emaus N: Prevalence of vertebral fractures in women and men in the population-based Tromso Study. BMC Musculoskelet Disord. 2012, 13: 3-10.1186/1471-2474-13-3.PubMedPubMed CentralView ArticleGoogle Scholar
- Parot-Schinkel E, Descatha A, Ha C, Petit A, Leclerc A, Roquelaure Y: Prevalence of multisite musculoskeletal symptoms: a French cross-sectional working population-based study. BMC Musculoskelet Disord. 2012, 13: 122-10.1186/1471-2474-13-122.PubMedPubMed CentralView ArticleGoogle Scholar
- Kjeldsberg M, Tschudi-Madsen H, Dalen I, Straand J, Bruusgaard D, Natvig B: Symptom reporting in a general population in Norway: results from the Ullensaker study. Scand J Prim Health Care. 2013, 31: 36-42. 10.3109/02813432.2012.751697.PubMedPubMed CentralView ArticleGoogle Scholar
- Cimmino MA, Ferrone C, Cutolo M: Epidemiology of chronic musculoskeletal pain. Best Pract Res Clin Rheumatol. 2011, 25: 173-183. 10.1016/j.berh.2010.01.012.PubMedView ArticleGoogle Scholar
- Schou MB, Krokstad S, Westin S: How is self-rated health associated with mortality?. Tidsskrift for den Norske laegeforening: tidsskrift for praktisk medicin, ny raekke. 2006, 126: 2644-2647.Google Scholar
- Hagen K, Zwart JA, Svebak S, Bovim G, Jacob Stovner L: Low socioeconomic status is associated with chronic musculoskeletal complaints among 46,901 adults in Norway. Scand J Public Health. 2005, 33: 268-275. 10.1080/14034940510005699.PubMedView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.