Skip to main content

Hand, hip and knee osteoarthritis in a Norwegian population-based study - The MUST protocol

Abstract

Background

Knowledge about the prevalence and consequences of osteoarthritis (OA) in the Norwegian population is limited. This study has been designed to gain a greater understanding of musculoskeletal pain in the general population with a focus on clinically and radiologically confirmed OA, as well as risk factors, consequences, and management of OA.

Methods/Design

The Musculoskeletal pain in Ullensaker STudy (MUST) has been designed as an observational study comprising a population-based postal survey and a comprehensive clinical examination of a sub-sample with self-reported OA (MUST OA cohort). All inhabitants in Ullensaker municipality, Norway, aged 40 to 79 years receive the initial population-based postal survey questionnaire with questions about life style, general health, musculoskeletal pain, self-reported OA, comorbidities, health care utilisation, medication use, and functional ability. Participants who self-report OA in their hip, knee and/or hand joints are asked to attend a comprehensive clinical examination at Diakonhjemmet Hospital, Oslo, including a comprehensive medical examination, performance-based functional tests, different imaging modalities, cardiovascular assessment, blood and urine samples, and a number of patient-reported questionnaires including five OA disease specific instruments. Data will be merged with six national data registries. A subsample of those who receive the questionnaire has previously participated in postal surveys conducted in 1990, 1994, and 2004 with data on musculoskeletal pain and functional ability in addition to demographic characteristics and a number of health related factors. This subsample constitutes a population based cohort with 20 years follow-up.

Discussion

This protocol describes the design of an observational population-based study that will involve the collection of data from a postal survey on musculoskeletal pain, and a comprehensive clinical examination on those with self-reported hand, hip and/or knee OA. These data, in addition to data from national registries, will provide unique insights into clinically and radiologically confirmed OA with respect to risk factors, consequences, and management.

Background

Osteoarthritis (OA) is currently the most prevalent joint disease and is one of the core diseases in the Bone and Joint Decade 2011-2020[1]. It can occur in any joint, but is most commonly seen in selected joints of the hand, spine, and lower limb. Clinically, OA is characterised by joint pain, crepitus, swelling, stiffness, restricted range of motion, fatigue, and functional limitations. OA is one of the leading causes of pain and disability for the adult population worldwide[2] and may have considerable personal and societal consequences in relation to health problems[3], work disability[4], and economical costs[57]. Recently, sequela of the OA disease was defined as one of the major contributors to years lived in less than ideal health (years lived with disability (YLDs))[8]. The burden of OA is better described for the knee and hip, than for the hand joints and generalised OA[9].

OA is strongly age-related - it is uncommon before the age of 40, but the prevalence rises rapidly with age thereafter. Women are affected more frequently among those aged > 45 years[10], and the gender difference is most prominent for hand and knee OA[2]. Prevalence estimates vary, as the estimate is dependent on the joint of interest, the method of assessment, and the disease definition used[11]. In a US cohort of individuals at least 45 years of age, 16% had symptomatic knee OA and 10% had symptomatic hip OA[12, 13]. The prevalence of symptomatic hand OA in the Framingham OA study was 16% and 8% for women and men, respectively[14]. With an aging population and the current epidemic of obesity, a strong risk factor for OA[15], the OA prevalence is expected to increase in the coming years[15].

OA has traditionally been defined on the basis of radiographic features only, or on a combination of radiographic features and joint symptoms[11]. A number of clinical criteria and radiographic classification systems have been established to promote uniformity in the reporting of OA definitions (i.e. The American College of Rheumatology (ACR) criteria[1618], the Kellgren-Lawrence scale[19], and the Osteoarthritis Research Society International (OARSI) score[20]). Recently, a distinction between structural joint changes (‘OA disease’) and individuals’ self-reported symptoms of OA (‘OA illness’) was recommended for treatment effect evaluations, which may also be useful in trial design and recruitment[21].

Self-reported OA is sometimes used as a practical alternative in gaining epidemiological knowledge about OA, and self-reported physician diagnosed arthritis was found to be the question with the highest accuracy in prediction of radiologically confirmed OA[22]. The association between the prevalence of self-reported OA and the prevalence of criteria-based diagnoses of OA has been investigated to a limited degree for hip and knee[2328], but not for hand OA. Although self-reported OA fails to reach complete accuracy, previous studies have found satisfactory sensitivity and specificity and recommend this approach as a screening tool in large population-based studies[23, 2628]. However, conflicting results have also been published[25], and for complete ascertainment procedure in clinical trials, a clinical examination and radiographs may still remain necessary[27].

Imaging modalities

While late-stage OA is often characterised by both demonstrable structural changes (loss of joint space, osteophytes and changes in the subchondral bone) and patient-reported joint pain, stiffness and disability, there are only weak correlations between symptoms and OA pathology, particularly in early stages of the disease[21]. It has been estimated that 40-80% of individuals with radiographic changes have concurrent symptomatic OA disease[14, 29]. The discrepancy between imaging and clinical findings is becoming more complex with increased use of sensitive imaging techniques such as magnetic resonance imaging (MRI), which more frequently demonstrates structural abnormalities, inflammatory changes, and degeneration of soft tissue compared to conventional radiographs[30]. Most studies using MRI have included patients with knee OA, showing that bone marrow lesions and synovitis are associated with pain[31]. Similar results have been found in hand OA[30, 32], although more studies are needed. Ultrasound also has the ability to demonstrate both changes in bone and soft tissue, and a scoring system for use in hand OA has been developed[33, 34], but further work to validate ultrasound features of OA is needed[35].

Clinically relevant phenotypes

Recently, there has been an interest in classifying OA populations into different clinical and/or structural phenotypes, which might improve the understanding of the disease and allow the treatment to become more targeted and tailored. A proposal for differentiation of clinical phenotypes based on age and primary causative features has been published[15]. Further, cluster analyses using data from knee OA participants in the Osteoarthritis Initiative Study have been performed to identify phenotypes with different clinical outcomes[36]. More research on classifications of different phenotypes may further improve the development within diagnosis, treatment, and monitoring of the OA disease.

Hand OA

Hand photography is an easy and inexpensive imaging method involving no harm for the subjects. A standardised procedure for taking digital hand photographs, a set of reference photographs, and standardised reading procedure for diagnosing hand OA has been published showing adequate inter- and intraobserver variation[37]. However, the diagnostic value of hand photography in hand OA needs further investigation. The importance of measuring aesthetic damage in individuals with hand OA has been recognised[38, 39]. The extent to which deformities in affected joints may have a negative influence on individuals’ social life has not been systematically assessed. The relation between hand OA and hypermobility is scarcely investigated, and previous research has shown conflicting evidence[9]. More insight into this association would be interesting in order to provide preventive strategies. Obesity has been shown to be an important risk factor for OA, especially for knee OA[2] and for total hip replacement[40, 41], but there is now also increasing evidence suggesting a relationship between obesity and hand OA[9]. Whether OA is part of a “metabolic syndrome” including overweight, hypertension, and diabetes is being debated and needs further examination. Affection of the carpometacarpal joint in the thumb may compromise function in the whole hand, and was found to contribute more to pain and disability than affection of the interphalangeal joints[42]. More research on factors associated with OA in the carpometacarpal joint in the thumb is needed.

Cardiovascular morbidity

Recently, there has been substantial interest in the relationship between various arthritic disorders in relation to cardiovascular morbidity[43]. Some studies have shown an association between OA and cardiovascular morbidity and mortality[44], and it has been suggested that atherosclerosis may contribute to the initiation or progression of OA[45, 46]. An association between arterial stiffness and hand OA has been found, but the significant individual relationship was largely attributable to the confounding effect of age[43]. These findings and novel hypotheses need to be explored in longitudinal studies.

Quality of care

Several international recommendations and standards of care for OA management have been developed[2, 4751]. However, there has been limited focus on evaluation of the quality of care provided for OA patients, and previous studies have revealed low adherence with published recommendations[5254], and have suggested that OA care was suboptimal[5558]. An English study by Steel et al. showed that the pass rate for quality indicators on OA management was only 29%[59], and we expect that the situation in Norway is similar. The only Norwegian study in this area is a prospective study on physiotherapy performance in patients with knee OA, in which the authors concluded that there is a need to promote high quality evidence into physiotherapy practice[60].

Sick leave and health care utilisation

In Sweden, it was reported that individuals with knee OA have close to twofold increased risk of sick leave and about 40-50% increased risk of disability pension compared to the general population[61]. It is unknown whether similar figures can be found in Norway. The costs of OA care will be heavily influenced by the trends in OA occurrence, the severity of the disease, and the consequences of OA in function and work ability. More research is warranted on utilisation of self-management and treatment in primary, secondary, or tertiary care.

Physical activity

At least 30 minutes physical activity per day for at least 3 days a week is recommended as a general guideline for those with knee and hip OA[62]. Knowledge on type and level of physical activity in individuals with OA is limited. A large survey conducted in the US indicated that those with OA were less active than healthy individuals[63], but the activity level according to affected joint was not investigated. A recent US study showed that only 13% of men and 8% of women with knee OA met the aerobic component of the 2008 Physical Activity Guidelines for Americans (≥150 minutes/week of moderate-to-vigorous–intensity activity lasting ≥10 minutes)[64]. A recent Norwegian study with accelerometer-determined physical activity revealed that only one in five adults or older people met the current national physical activity recommendations to accumulate at least 30 minutes of daily moderate intensity physical activity[65]. The study also showed that overweight and obese participants performed less overall physical activity compared to normal weight participants[66]. However, knowledge of physical activity levels in Norwegian individuals with OA is needed.

The purpose of this study

This study has been designed to recruit individuals from an unselected adult population to gain more knowledge about clinically and radiologically confirmed OA, risk factors, consequences, and management of OA. The study incorporates different imaging techniques (conventional radiographs, MRI, and US), patient-reported outcomes and performance-based outcome measures, cardiovascular morbidity and metabolic syndrome in individuals with hand, hip and/or knee OA. Such data will be valuable for various epidemiological and clinical studies.

The main aims of the present study are to evaluate:

  1. 1.

    The prevalence of hand, hip, and knee OA in a population-based cohort.

  2. 2.

    The association between structural abnormalities (conventional radiographs, MRI and US) and symptoms in individuals with hand, hip, and knee OA.

  3. 3.

    The concordance between OA features in the hip and knee joints identified by conventional radiographs and US examination.

  4. 4.

    The associations between different OA phenotype classifications and clinical outcomes.

  5. 5.

    The associations between cardiovascular morbidity as well as vascular biomarkers and OA phenotypes.

  6. 6.

    The associations between OA in the carpometacarpal joint in the thumb and self-reported symptoms and function.

  7. 7.

    The frequency of self-reported concerns related to aesthetic damage in the joints of the hand and of self-reported participation restrictions due to aesthetic damage.

  8. 8.

    Obesity as a risk factor for hand OA, and associations between different OA locations and medical conditions in a metabolic syndrome (defined as overweight, hypertension, and diabetic disease).

  9. 9.

    The quality of OA care, health care utilisation, and sickness absence among those with hand, hip, and knee OA.

  10. 10.

    The association between self-reported physical activity, function, and pain in individuals with hand, hip, and knee OA.

Methods/Design

Design and setting

The MUST has been designed as an observational study which includes a population-based postal survey (Q1) as well as a subsample (the MUST OA cohort) who attend a comprehensive clinical examination (CE) and complete OA specific questionnaires (Q2 and Q3).

The target population for the postal population-based survey is the inhabitants in the Ullensaker Municipality, which is a rural community 40 kilometres northeast of Oslo. Some of the nearly 30 000 inhabitants commute to Oslo for work, but for the last 10 to 15 years, the work opportunities and the number of Ullensaker inhabitants have expanded due to the building and the subsequent management related to the national Oslo Airport Gardermoen. This development has resulted in some minor changes in demographic factors, as many persons of younger age and with higher education levels have moved into the municipality.

Participants in the population-based survey

All inhabitants aged between 40 and 79 years receive the postal four page questionnaire (Q1). Information on residence is provided by the Population Register. The questionnaire is returned by mail in a pre-paid envelope. One written reminder is sent to non-responders after eight weeks.

Participants in the comprehensive clinical examination

Individuals eligible for the comprehensive clinical examination are identified using the self-reported OA item in the population-based postal survey (Q1): ‘Have you ever been diagnosed with osteoarthritis in hip/knee/hand by a medical doctor and/or x-ray?’ Response categories include: Yes, hip/ Yes, knee/ Yes, hand/ No. Those who self-report OA in their hip, knee, and/or hand, will receive a postal request to attend a clinical examination (CE) performed at Diakonhjemmet Hospital, Oslo. Two written reminders are sent to non-responders. The participants are screened for clinical examination eligibility by the project coordinator, and those who are unable to walk (with or without walking aids) and/or do not speak or understand Norwegian language are excluded for the clinical examination.

Assessments

The population-based postal survey questionnaire (Q1)

The four-page questionnaire includes demographic questions as well as questions about life style, general health, musculoskeletal pain, OA, comorbidities, health care utilisation, medication use, and functional ability[6770]. The questionnaire includes items on self-reported cardiovascular disease and symptoms (Table 1).

Table 1 The population-based postal survey questionnaire (Q1)

The OA specific questionnaire (Q2)

Participants who are eligible and scheduled for the clinical examination fill in the OA specific questionnaire (Q2) at home before attending the clinical examination. This questionnaire includes standardised instruments targeting health related quality of life, physical activity, cardiovascular disease questions, and OA disease specific instruments[7179] (Table 2).

Table 2 Measures in the OA specific questionnaire (Q2)

The comprehensive clinical examination (CE)

The comprehensive clinical examinations are scheduled on a weekly basis with eight or nine participants at any one session. These examinations are performed by physicians and health professionals in the project group, radiographers at Diakonhjemmet Hospital, and trained medical students. The clinical examination lasts for about four hours; transportation time not included. Beforehand, the participants receive a postal, OA specific questionnaire (Q2) to fill in at home (Table 2). They answer some additional questions on pain and OA symptoms (Q3) during the clinical examination (Table 3). The clinical examination (CE) includes a wide array of assessments (Table 4):

  1. 1)

    The medical assessment.

    The medical assessments are performed by a medical doctor (BSC) with many years of clinical experience in rheumatology and by trained final-year medical students under supervision of BSC. The medical assessment will include an assessment of clinical signs of OA as well as knee joint effusion using the Stroke test [80]. Verification of the ACR criteria for hip, knee and hand OA are performed [1618]. The medical doctor also scores ‘The Doctor Global assessment of OA disease’, and asks when the participants were diagnosed with OA and when they first experienced OA symptoms. Further, the doctor investigates familial OA, dominant hand and foot, and registers current (and former) employment status according to level 0-5 on the Tegner Activity Scale [81].

  2. 2)

    Conventional radiographs.

    Bilateral radiographs of the hand, hip, and knee joints are performed on all participants at the Diakonhjemmet Hospital according to a standardised protocol. Hand: Posterior-anterior projection of hands. Hip: Supine lying with a calibration bullet between the thighs. Anterior-posterior projection of the total pelvic frontal view. Knee: The procedure is performed using the SynaFlexer™ frame which standardises knee flexion angle to 20° and external foot rotation to 5°, as described by Kothari et al. [82]. In this protocol, a 10° caudal beam angulation ensures alignment of the beam with the medial tibial plateau (fluoroscopy). X-ray views include anterior-posterior, lateral, and patella tangential. The radiographs are scored according to the Kellgren and Lawrence (KL) scale [19] and the OARSI atlas[20].

  3. 3)

    Magnetic resonance imaging (MRI) of the dominant hand.

    MRI with gadolinium contrast enhancement is performed according to a standardised protocol at the Diakonhjemmet Hospital on the dominant hand in participants with self-reported hand OA in the population-based postal survey (Q1) and without contraindications for MRI examination. A highfield (1.0T) extremity MRI unit (ONI; GE Healthcare, Waukesha, Wisconsin, USA) is used to examine the second to fifth proximal interphalangeal (PIP) and distal interphalangeal (DIP) joints. The acquisition, MRI sequences, and scoring of MRI features (The Oslo Hand Osteoarthritis MRI score) have previously been described [83].

  4. 4)

    Ultrasound.

    Two trained and experienced medical students perform the bilateral ultrasound examination of the hand, hip, and knee joints of all participants with supervision from an experienced sonographer/rheumatologist (HBH). A linear array transducer is used (5–13 MHz, Siemens Antares, Sonoline; Siemens Medical Solutions, Mountain View, California, USA) with fixed settings of the machine. To ensure standardisation, the same ultrasound machine without software upgrading is used throughout the study.

    Hand: The participants sit with hands resting on a small table. Osteophytes are defined as cortical protrusions, and the presence of osteophytes is scored on a 0-3 scale as previously described[34]. In each finger joint the proximal and distal part are assessed as a whole, and the largest osteophyte determines the score independently of the number and location of other osteophytes in the same joint. The sonographers score osteophytes in the following 15 joints bilaterally (standard scanning projections): carpometacarpal (CMC) 1 (radio-palmar), metacarpophalangeal (MCP) 1–5 (dorsal), PIP 1–5 (dorsal) and DIP 2–5 (dorsal). Each joint is scanned longitudinally from the radial to the ulnar side, and transverse scanning is performed if there is uncertainty about the presence of pathology. In addition, scoring of synovitis (B-mode) and vascularity (power Doppler) (both on 0-3 scales) are performed according to previous descriptions[84].

    Hip: The participants lie in supine position. The sonographers score the size of osteophytes at the femoral neck (score 0-3), measure the maximal capsule thickness at the femoral neck as well as evaluate the form of the capsule and the shape of the femoral head. In addition, the participants are asked about groin pain during the last week.

    Knee: The participants lie in supine position with the knee extended for scoring of osteophyte sizes at the medial and lateral joint space (0-3 scale). In addition, meniscus protrusion medially and laterally is recorded, and the degree of synovitis in the suprapatellar recess is scored[84]. With the knee flexed to 90°, the thickness of the cartilage at the distal femur is measured in millimetres at the sulcus as well as at the lateral and medial condyle. Additionally, the cartilage quality at the distal femur is evaluated, and the presence of calcium crystal pyrophosphate deposition (CPPD) changes are recorded. All participants are asked about knee pain during the last week.

  5. 5)

    Functional assessment.

    Physiotherapists perform the following functional assessments according to standardised protocols: Moberg Pick Up Test[85], 6 minute Walk Test [86], and 30 second Timed Stand Test [87]. Hypermobility is assessed using the Beighton scale [88], and maximal grip strength is measured using Jamar Dynamometer. The passive range of motion of the hip and knee joints is examined in supine and prone positions with the use of fixation belts.

  6. 6)

    Cardiovascular assessment.

    Trained medical students perform the cardiovascular assessments after instructions from two experienced researchers in cardiovascular medicine (SP and AGS). Brachial blood pressure (BP) and heart rate are measured using an Omron M7 after a minimum 5 minute rest in a supine position in a quiet room. Repeated measurements are performed until two of the measurements have a ≤ 5 mmHg difference in both systolic and diastolic pressures, and a mean is calculated. A 12-lead electrocardiogram (ECG) is recorded digitally in this setting. The ankle-brachial index (ABI) is computed in the standardised fashion[89]. The systolic pressure is estimated by a Sonotrax - Pocket Doppler Vascular - 8MHz probe in the posterior tibial and dorsalis pedis arteries in both legs. The highest of these distal pressures is divided by the brachial systolic pressure to obtain the ABI. Due to time limitations the ABI is performed in every second individual.

    Pulse wave analysis (PWA) using the Sphygmocor apparatus (Atcor Australia) is performed to estimate the pulse wave velocity (PWV) and augmentation index (AIx). We have chosen to estimate the carotid-femoral PWV (cfPWV) between the sites on the carotid and on the femoral artery where the pulse is most strongly palpated. The start of the pressure waves at the carotid and femoral artery are ECG gated to adjust for transit time. The PWV is calculated from knowing both the transit-time for the pulse wave travelling from the heart to the two sites and the distance between these sites[90]. The AIx is defined as the change in pressure between the second and first systolic peaks as a percentage of the pulse pressure and is standardised to a heart rate of 75. AIx is calculated by applying a validated transfer system to pressure recordings of the arterial pressure waves at the radial artery[91]. Individuals suffering from atrial fibrillation are excluded from the PWA analysis. Based on prior studies, the participants are requested to abstain from food, drinks (except for water), and smoking for at least 3 hours prior to the PWA examinations[90].

  7. 7)

    Body weight and height, hip and waist circumference, and digital photo of hands.

    The weight and height are measured on all participants with shoes removed and pockets emptied. The hip circumference is measured using a tape measure around the maximum circumference, and waist circumference is measured at the narrowest waist after relaxed exhalation. A standardised digital photo from above, with both hands on top of a black fabric on a small tray, is taken by the medical student performing the ultrasound examination.

  8. 8)

    Blood and urine sample.

Blood (full blood and sera) and urine samples are collected and stored in a biobank for future analyses of associations between clinical characteristics and biomarkers or candidate genes. Blood samples are analysed for haemoglobin and erythrocyte sedimentation rate at the hospital laboratory.

Table 3 Questions to complete during the clinical examination (Q3)
Table 4 Measures included in the comprehensive clinical examination (CE)

Data from a previous study in Ullensaker Municipality

The Ullensaker Study is a population based epidemiological cohort study with musculoskeletal pain as the primary focus and with three preceding surveys conducted in 1990, 1994, and 2004[9295]. The surveys were sent to all inhabitants in the Ullensaker Municipality in the following birth cohorts: 1918-20, 1928-30, 1938-40, 1948-50, 1958-60, 1968-70, and 1978-80 (only in 2004). Hence, for a subsample, we will be able to merge data to the previously collected data in The Ullensaker Study on musculoskeletal pain and functional ability in addition to demographic factors, body height and weight, comorbidity, mental distress, sleep, sick leave, health care utilisation, and physical activity. We will investigate if any of these previous data can be identified as predictors of incident OA.

Data from other sources

Along with the initial postal questionnaire, the participants are asked for consents to merge the data to national data registries (e.g. The Norwegian Arthroplasty Register, The register of The Norwegian Labour and Welfare Administration, The Norwegian Prescription Database, The Medical Birth Registry of Norway, The Cancer Registry of Norway, and The Norwegian Cause of Death Registry). Furthermore, those who have previously participated in Ullensaker Study are asked for permission to merge with the data collected in 1990, 1994, and/or 2004.

Project timeline

In order to avoid a large time lag between the initial population-based postal survey questionnaire (Q1) and the subsequent clinical examination (Q2 and CE), the Q1 questionnaire are sent in three dispatches to allow time for the clinical examinations in the interim (Figure 1). Dispatch no.1 targets inhabitants with birth year ending in 1, 2, or 3 with the questionnaires being sent by mail in March 2010. The next dispatch approaches the previous Ullensaker Study participants (birth years ending in 8, 9, or 0) and is mailed in November 2010, which is the same time of the year as the three preceding surveys. The questionnaires for the third dispatch are sent in September 2011 to inhabitants with birth years ending in 4, 5, 6, or 7. We estimate that the clinical examination for the third dispatch will be completed in the spring 2013.

Figure 1
figure 1

Study timeline.

Statistical analyses

Parametric and non-parametric statistical analysis models will be used depending on the distribution of the variables.

Sample size

The response rates in the preceding Ullensaker Study surveys decreased from 67% in 1990, to 63% and 55% in 1994 and 2004, respectively. The results from 2004 showed an overall self-reported OA prevalence of 12.8% in the total sample aged 25 to 75 years[10]. In January 2010, the total population in Ullensaker Municipality was approximately 29 000 persons, and our estimations suggested that the target adult population is about 12 000 persons.

Ethical aspects

The study was approved by the Norwegian Regional Committee for Medical and Health Research Ethics (Ref.no: 2009/812a (population-based survey questionnaire (Q1)) and 2009/1703a (OA specific questionnaires and clinical examination (CE, Q2 and Q3)) and the Norwegian Data Protection Authority. The study sample receives written information about the study, and separate written consents are given for the initial baseline questionnaire and for the clinical examination.

Discussion

This population-based observational study will provide important knowledge about the prevalence of symptomatic and radiographically confirmed OA, risk factors, consequences of OA, comorbidity in persons with OA, and quality of OA care in Norway. Outcomes may be linked to prevalence estimates of study sample subsets according to radiographic classification of OA severity, as has previously been performed with rheumatoid arthritis[96].

A major advantage in this study is the opportunity to merge the data with other data sources. Data will be merged with data from the previous Ullensaker study, national registries, and with the data from the comprehensive clinical examination, which include several imaging techniques, patient-reported outcome measurements, performance-based tests, cardiovascular morbidity, and data on metabolic syndrome. Hence, a wide spectre of analyses may be done on the merged data. Furthermore, more research on the association between self-reported hand, hip, and knee OA and clinically or radiologically confirmed OA will provide valuable knowledge for future epidemiological studies on OA.

The value of population-based studies is however related to the response rate. In the previous Ullensaker Study surveys the response rate has shown to decrease over time, which is in line with other populations studies showing a decrease in participation rates during the past three to four decades[97]. Whether a poor participation rate will be a problem, is related to the representativeness of the participants since low participation can provide more opportunity for bias to occur. Our opportunities to explore potential selection bias are limited, but we will be able to compare participants and non-participants in relation to age and gender as well as compare participants with regional or national mean frequencies for other demographic factors (i.e. marital status, education, and employment status).

There are plans for future follow-up surveys for the MUST participants and clinical examinations of the MUST OA cohort, which will provide further knowledge about various factors, for example about trends in OA prevalence, prognosis according to functional ability, quality of care in health services, and health care utilisation. Hence, this population-based observational study will constitute a unique platform with a large potential for future OA research by providing valuable opportunities for various epidemiological and clinical studies on OA in Norway.

Abbreviations

ABI:

Ankle-brachial index

AC:

Acromioclavicular

ACR:

American College of Rheumatology

Aix:

Augmentation index

AUCAN:

Australian/Canadian osteoarthritis hand index

BEJC:

Bony enlargement joint count

BP:

Blood pressure

cfPWV:

Carotid-femoral pulse wave velocity

CMC:

Carpometacarpal

CPPD:

Calcium crystal pyrophosphate deposition

DIP:

Distal interphalangeal

ESR:

Erythrocyte sedimentation rate

FIHOA:

Functional index for hand osteoarthritis

HOOS:

Hip disability and osteoarthritis outcome score

IPAQ:

International physical activity questionnaire

KL:

Kellgren and Lawrence scale

KOOS:

Knee injury and osteoarthritis outcome score

LMJC:

Limited motion joint count

MCP:

Metacarpophalangeal

MDHAQ:

Multidimensional health assessment questionnaire

MHOQ:

Michigan hand outcomes questionnaire

MTP:

Metatarsophalangeal

MUST:

Musculoskeletal pain in Ullensaker study

MRI:

Magnetic resonance imaging

NRS:

Numeric rating scale

OARSI:

Osteoarthritis research society international

OA:

Osteoarthritis

OA-QI:

Osteoarthritis quality indicator questionnaire

PIP:

Proximal interphalangeal

PWA:

Pulse wave analysis

PWV:

Pulse wave velocity

SJC:

Soft tissue swelling joint count

SNQ:

Standardised Nordic questionnaire

TJC:

Tender joint count

US:

United States

References

  1. Walsh NE, Brooks P, Hazes JM, Walsh RM, Dreinhofer K, Woolf AD: Standards of care for acute and chronic musculoskeletal pain: the Bone and Joint Decade (2000-2010). Arch Phys Med Rehabil. 2008, 89: 1830-1845. 10.1016/j.apmr.2008.04.009.

    Article  PubMed  Google Scholar 

  2. National Collaborating Centre for Chronic Conditions: Osteoarthritis: national clinical guidelines for care and management in adults. 2008, London: Royal College of Physicians

    Google Scholar 

  3. Hawley DJ, Wolfe F: Pain, disability, and pain/disability relationships in seven rheumatic disorders: a study of 1,522 patients. J Rheumatol. 1991, 18: 1552-1557.

    CAS  PubMed  Google Scholar 

  4. Pincus T, Mitchell JM, Burkhauser RV: Substantial work disability and earnings losses in individuals less than age 65 with osteoarthritis: comparisons with rheumatoid arthritis. J Clin Epidemiol. 1989, 42: 449-457. 10.1016/0895-4356(89)90135-2.

    Article  CAS  PubMed  Google Scholar 

  5. Gabriel SE, Crowson CS, Campion ME, O'Fallon WM: Direct medical costs unique to people with arthritis. J Rheumatol. 1997, 24: 719-725.

    CAS  PubMed  Google Scholar 

  6. Gabriel SE, Crowson CS, Campion ME, O'Fallon WM: Indirect and nonmedical costs among people with rheumatoid arthritis and osteoarthritis compared with nonarthritic controls. J Rheumatol. 1997, 24: 43-48.

    CAS  PubMed  Google Scholar 

  7. Rothfuss J, Mau W, Zeidler H, Brenner MH: Socioeconomic evaluation of rheumatoid arthritis and osteoarthritis: a literature review. Semin Arthritis Rheum. 1997, 26: 771-779. 10.1016/S0049-0172(97)80044-3.

    Article  CAS  PubMed  Google Scholar 

  8. Vos T, Flaxman AD, Naghavi M, Lozano R, Michaud C, Ezzati M: Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2013, 380: 2163-2196.

    Article  Google Scholar 

  9. Kloppenburg M: Hand osteoarthritis–an increasing need for treatment and rehabilitation. Curr Opin Rheumatol. 2007, 19: 179-183. 10.1097/BOR.0b013e32802106a8.

    Article  PubMed  Google Scholar 

  10. Grotle M, Hagen KB, Natvig B, Dahl FA, Kvien TK: Prevalence and burden of osteoarthritis: results from a population survey in Norway. J Rheumatol. 2008, 35: 677-684.

    PubMed  Google Scholar 

  11. Pereira D, Peleteiro B, Araujo J, Branco J, Santos RA, Ramos E: The effect of osteoarthritis definition on prevalence and incidence estimates: a systematic review. Osteoarthritis Cartilage. 2011, 19: 1270-1285. 10.1016/j.joca.2011.08.009.

    Article  CAS  PubMed  Google Scholar 

  12. Jordan JM, Helmick CG, Renner JB, Luta G, Dragomir AD, Woodard J: Prevalence of knee symptoms and radiographic and symptomatic knee osteoarthritis in African Americans and Caucasians: the Johnston County Osteoarthritis Project. J Rheumatol. 2007, 34: 172-180.

    PubMed  Google Scholar 

  13. Jordan JM, Helmick CG, Renner JB, Luta G, Dragomir AD, Woodard J: Prevalence of hip symptoms and radiographic and symptomatic hip osteoarthritis in African Americans and Caucasians: the Johnston County Osteoarthritis Project. J Rheumatol. 2009, 36: 809-815. 10.3899/jrheum.080677.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Haugen IK, Englund M, Aliabadi P, Niu J, Clancy M, Kvien TK: Prevalence, incidence and progression of hand osteoarthritis in the general population: the Framingham Osteoarthritis Study. Ann Rheum Dis. 2011, 70: 1581-1586. 10.1136/ard.2011.150078.

    Article  PubMed  Google Scholar 

  15. Bijlsma JW, Berenbaum F, Lafeber FP: Osteoarthritis: an update with relevance for clinical practice. Lancet. 2011, 377: 2115-2126. 10.1016/S0140-6736(11)60243-2.

    Article  PubMed  Google Scholar 

  16. Altman R, Asch E, Bloch D, Bole G, Borenstein D, Brandt K: Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association. Arthritis Rheum. 1986, 29: 1039-1049. 10.1002/art.1780290816.

    Article  CAS  PubMed  Google Scholar 

  17. Altman R, Alarcon G, Appelrouth D, Bloch D, Borenstein D, Brandt K: The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hip. Arthritis Rheum. 1991, 34: 505-514. 10.1002/art.1780340502.

    Article  CAS  PubMed  Google Scholar 

  18. Altman R, Alarcon G, Appelrouth D, Bloch D, Borenstein D, Brandt K: The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hand. Arthritis Rheum. 1990, 33: 1601-1610. 10.1002/art.1780331101.

    Article  CAS  PubMed  Google Scholar 

  19. Kellgren JH, Lawrence JS: Radiological assessment of osteo-arthrosis. Ann Rheum Dis. 1957, 16: 494-502. 10.1136/ard.16.4.494.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Altman RD, Gold GE: Atlas of individual radiographic features in osteoarthritis, revised. Osteoarthritis Cartilage. 2007, 15 Suppl A: A1-A56.

    Article  CAS  PubMed  Google Scholar 

  21. Lane NE, Brandt K, Hawker G, Peeva E, Schreyer E, Tsuji W: OARSI-FDA initiative: defining the disease state of osteoarthritis. Osteoarthritis Cartilage. 2011, 19: 478-482. 10.1016/j.joca.2010.09.013.

    Article  CAS  PubMed  Google Scholar 

  22. Szoeke CE, Dennerstein L, Wluka AE, Guthrie JR, Taffe J, Clark MS: Physician diagnosed arthritis, reported arthritis and radiological non-axial osteoarthritis. Osteoarthritis Cartilage. 2008, 16: 846-850. 10.1016/j.joca.2007.12.001.

    Article  CAS  PubMed  Google Scholar 

  23. March LM, Schwarz JM, Carfrae BH, Bagge E: Clinical validation of self-reported osteoarthritis. Osteoarthritis Cartilage. 1998, 6: 87-93. 10.1053/joca.1997.0098.

    Article  CAS  PubMed  Google Scholar 

  24. Cheng Y, Macera CA, Davis DR, Ainsworth BE, Troped PJ, Blair SN: Physical activity and self-reported, physician-diagnosed osteoarthritis: is physical activity a risk factor?. J Clin Epidemiol. 2000, 53: 315-322. 10.1016/S0895-4356(99)00168-7.

    Article  CAS  PubMed  Google Scholar 

  25. LaValley M, McAlindon TE, Evans S, Chaisson CE, Felson DT: Problems in the development and validation of questionnaire-based screening instruments for ascertaining cases with symptomatic knee osteoarthritis: the Framingham Study. Arthritis Rheum. 2001, 44: 1105-1113. 10.1002/1529-0131(200105)44:5<1105::AID-ANR191>3.0.CO;2-C.

    Article  CAS  PubMed  Google Scholar 

  26. Roux CH, Saraux A, Mazieres B, Pouchot J, Morvan J, Fautrel B: Screening for hip and knee osteoarthritis in the general population: predictive value of a questionnaire and prevalence estimates. Ann Rheum Dis. 2008, 67: 1406-1411. 10.1136/ard.2007.075952.

    Article  CAS  PubMed  Google Scholar 

  27. Morvan J, Roux CH, Fautrel B, Rat AC, Euller-Ziegler L, Loeuille D: A case-control study to assess sensitivity and specificity of a questionnaire for the detection of hip and knee osteoarthritis. Arthritis Rheum. 2009, 61: 92-99.

    Article  CAS  PubMed  Google Scholar 

  28. Ratzlaff C, Koehoorn M, Cibere J, Kopec J: Clinical validation of an Internet-based questionnaire for ascertaining hip and knee osteoarthritis. Osteoarthritis Cartilage. 2012, 20: 1568-1573. 10.1016/j.joca.2012.08.017.

    Article  CAS  PubMed  Google Scholar 

  29. Fransen M, McConnell S: Exercise for osteoarthritis of the knee. Cochrane Database Syst Rev. 2008, Issue 4: Art. No. CD004376-

    Google Scholar 

  30. Haugen IK, Boyesen P, Slatkowsky-Christensen B, Sesseng S, Bijsterbosch J, van der Heijde D: Comparison of features by MRI and radiographs of the interphalangeal finger joints in patients with hand osteoarthritis. Ann Rheum Dis. 2012, 71: 345-350. 10.1136/annrheumdis-2011-200028.

    Article  PubMed  Google Scholar 

  31. Guermazi A, Hayashi D, Eckstein F, Hunter DJ, Duryea J, Roemer FW: Imaging of osteoarthritis. Rheum Dis Clin North Am. 2013, 39: 67-105. 10.1016/j.rdc.2012.10.003.

    Article  PubMed  Google Scholar 

  32. Haugen IK, Boyesen P, Slatkowsky-Christensen B, Sesseng S, van der Heijde D, Kvien TK: Associations between MRI-defined synovitis, bone marrow lesions and structural features and measures of pain and physical function in hand osteoarthritis. Ann Rheum Dis. 2012, 71: 899-904. 10.1136/annrheumdis-2011-200341.

    Article  PubMed  Google Scholar 

  33. Keen HI, Lavie F, Wakefield RJ, D'Agostino MAHE, Pendleton A, Kane D: The development of a preliminary ultrasonographic scoring system for features of hand osteoarthritis. Ann Rheum Dis. 2008, 67: 651-655.

    Article  CAS  PubMed  Google Scholar 

  34. Mathiessen A, Haugen IK, Slatkowsky-Christensen B, Boyesen P, Kvien TK, Hammer HB: Ultrasonographic assessment of osteophytes in 127 patients with hand osteoarthritis: exploring reliability and associations with MRI, radiographs and clinical joint findings. Ann Rheum Dis. 2013, 72: 51-56. 10.1136/annrheumdis-2011-201195.

    Article  PubMed  Google Scholar 

  35. Keen HI, Wakefield RJ, Conaghan PG: A systematic review of ultrasonography in osteoarthritis. Ann Rheum Dis. 2009, 68: 611-619. 10.1136/ard.2008.102434.

    Article  CAS  PubMed  Google Scholar 

  36. Knoop J, van der Leeden M, van der Esch M, Thorstensson CA, Gerritsen M, Voorneman RE: Association of lower muscle strength with self-reported knee instability in osteoarthritis of the knee: results from the Amsterdam Osteoarthritis cohort. Arthritis Care Res (Hoboken). 2012, 64: 38-45. 10.1002/acr.20597.

    Article  Google Scholar 

  37. Jonsson H, Helgadottir GP, Aspelund T, Sverrisdottir JE, Eiriksdottir G, Sigurdsson S: The use of digital photographs for the diagnosis of hand osteoarthritis: the AGES-Reykjavik study. BMC Musculoskelet Disord. 2012, 13: 20-10.1186/1471-2474-13-20.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Maheu E, Altman RD, Bloch DA, Doherty M, Hochberg M, Mannoni A: Design and conduct of clinical trials in patients with osteoarthritis of the hand: recommendations from a task force of the Osteoarthritis Research Society International. Osteoarthritis Cartilage. 2006, 14: 303-322. 10.1016/j.joca.2006.02.010.

    Article  CAS  PubMed  Google Scholar 

  39. Stamm T, van der Giesen F, Thorstensson C, Steen E, Birrell F, Bauernfeind B: Patient perspective of hand osteoarthritis in relation to concepts covered by instruments measuring functioning: a qualitative European multicentre study. Ann Rheum Dis. 2009, 68: 1453-1460. 10.1136/ard.2008.096776.

    Article  CAS  PubMed  Google Scholar 

  40. Flugsrud GB, Nordsletten L, Espehaug B, Havelin LI, Engeland A, Meyer HE: The impact of body mass index on later total hip arthroplasty for primary osteoarthritis: a cohort study in 1.2 million persons. Arthritis Rheum. 2006, 54: 802-807. 10.1002/art.21659.

    Article  PubMed  Google Scholar 

  41. Apold H, Meyer HE, Espehaug B, Nordsletten L, Havelin LI, Flugsrud GB: Weight gain and the risk of total hip replacement a population-based prospective cohort study of 265,725 individuals. Osteoarthritis Cartilage. 2011, 19: 809-815. 10.1016/j.joca.2011.03.013.

    Article  CAS  PubMed  Google Scholar 

  42. Bijsterbosch J, Visser W, Kroon HM, Stamm T, Meulenbelt I, Huizinga TW: Thumb base involvement in symptomatic hand osteoarthritis is associated with more pain and functional disability. Ann Rheum Dis. 2010, 69: 585-587. 10.1136/ard.2009.104562.

    Article  PubMed  Google Scholar 

  43. Saleh AS, Najjar SS, Muller DC, Shetty V, Ferrucci L, Gelber AC: Arterial stiffness and hand osteoarthritis: a novel relationship?. Osteoarthritis Cartilage. 2007, 15: 357-361. 10.1016/j.joca.2006.09.008.

    Article  CAS  PubMed  Google Scholar 

  44. Nuesch E, Dieppe P, Reichenbach S, Williams S, Iff S, Juni P: All cause and disease specific mortality in patients with knee or hip osteoarthritis: population based cohort study. BMJ. 2011, 342: d1165-10.1136/bmj.d1165.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Jonsson H, Helgadottir GP, Aspelund T, Eiriksdottir G, Sigurdsson S, Ingvarsson T: Hand osteoarthritis in older women is associated with carotid and coronary atherosclerosis: the AGES Reykjavik study. Ann Rheum Dis. 2008, 68: 1696-1700.

    Article  PubMed  Google Scholar 

  46. Conaghan PG, Vanharanta H, Dieppe P: Is progressive osteoarthritis an atheromatous vascular disease?. Ann Rheum Dis. 2005, 64: 1539-1541. 10.1136/ard.2005.039263.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Jordan KM, Arden NK, Doherty M, Bannwarth B, Bijlsma JW, Dieppe P: EULAR Recommendations 2003: an evidence based approach to the management of knee osteoarthritis: report of a Task Force of the Standing Committee for International Clinical Studies Including Therapeutic Trials (ESCISIT). Ann Rheum Dis. 2003, 62: 1145-1155. 10.1136/ard.2003.011742.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Zhang W, Doherty M, Arden N, Bannwarth B, Bijlsma J, Gunther KP: EULAR evidence based recommendations for the management of hip osteoarthritis: report of a task force of the EULAR Standing Committee for International Clinical Studies Including Therapeutics (ESCISIT). Ann Rheum Dis. 2005, 64: 669-681. 10.1136/ard.2004.028886.

    Article  CAS  PubMed  Google Scholar 

  49. Zhang W, Doherty M, Leeb BF, Alekseeva L, Arden NK, Bijlsma JW: EULAR evidence based recommendations for the management of hand osteoarthritis: report of a Task Force of the EULAR Standing Committee for International Clinical Studies Including Therapeutics (ESCISIT). Ann Rheum Dis. 2007, 66: 377-388. 10.1136/ard.2006.062091.

    Article  CAS  PubMed  Google Scholar 

  50. Zhang W, Nuki G, Moskowitz RW, Abramson S, Altman RD, Arden NK: OARSI recommendations for the management of hip and knee osteoarthritis: part III: changes in evidence following systematic cumulative update of research published through January 2009. Osteoarthritis Cartilage. 2010, 18: 476-499. 10.1016/j.joca.2010.01.013.

    Article  CAS  PubMed  Google Scholar 

  51. Hochberg MC, Altman RD, April KT, Benkhalti M, Guyatt G, McGowan J: American College of Rheumatology 2012 recommendations for the use of nonpharmacologic and pharmacologic therapies in osteoarthritis of the hand, hip, and knee. Arthritis Care Res (Hoboken ). 2012, 64: 455-474. 10.1002/acr.20691.

    Article  Google Scholar 

  52. Bierma-Zeinstra SM, Lipschart S, Njoo KH, Bernsen R, Verhaar J, Prins A: How do general practitioners manage hip problems in adults?. Scand J Prim Health Care. 2000, 18: 159-164. 10.1080/028134300453368.

    Article  CAS  PubMed  Google Scholar 

  53. Denoeud L, Mazieres B, Payen-Champenois C, Ravaud P: First line treatment of knee osteoarthritis in outpatients in France: adherence to the EULAR 2000 recommendations and factors influencing adherence. Ann Rheum Dis. 2005, 64: 70-74. 10.1136/ard.2003.015263.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. DeHaan MN, Guzman J, Bayley MT, Bell MJ: Knee osteoarthritis clinical practice guidelines – how are we doing?. J Rheumatol. 2007, 34: 2099-2105.

    PubMed  Google Scholar 

  55. Ganz DA, Chang JT, Roth CP, Guan M, Kamberg CJ, Niu F: Quality of osteoarthritis care for community-dwelling older adults. Arthritis Rheum. 2006, 55: 241-247. 10.1002/art.21844.

    Article  PubMed  Google Scholar 

  56. Broadbent J, Maisey S, Holland R, Steel N: Recorded quality of primary care for osteoarthritis: an observational study. Br J Gen Pract. 2008, 58: 839-843. 10.3399/bjgp08X376177.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Li LC, Sayre EC, Kopec JA, Esdaile JM, Bar S, Cibere J: Quality of nonpharmacological care in the community for people with knee and hip osteoarthritis. J Rheumatol. 2011, 38: 2230-2237. 10.3899/jrheum.110264.

    Article  PubMed  Google Scholar 

  58. McHugh GA, Campbell M, Luker KA: Quality of care for individuals with osteoarthritis: a longitudinal study. J Eval Clin Pract. 2011, 18: 534-541.

    Article  PubMed  Google Scholar 

  59. Steel N, Bachmann M, Maisey S, Shekelle P, Breeze E, Marmot M: Self reported receipt of care consistent with 32 quality indicators: national population survey of adults aged 50 or more in England. BMJ. 2008, 337: a957-10.1136/bmj.a957.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Jamtvedt G, Dahm KT, Holm I, Flottorp S: Measuring physiotherapy performance in patients with osteoarthritis of the knee: a prospective study. BMC Health Serv Res. 2008, 8: 145-10.1186/1472-6963-8-145.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Hubertsson J, Petersson IF, Thorstensson CA, Englund M: Risk of sick leave and disability pension in working-age women and men with knee osteoarthritis. Ann Rheum Dis. 2012, 72: 401-405.

    Article  PubMed  Google Scholar 

  62. Minor M, Stenstrøm CH, Klepper SE, Hurley M, Ettinger WH: Work Group Recommendations: 2002 Exercise and Physical Activity Conference, St Louis, Missouri. Session V: evidence of benefit of exercise and physical activity in arthritis. Arthritis Care Res. 2003, 49: 453-454.

    Article  Google Scholar 

  63. Shih M, Hootman JM, Kruger J, Helmick CG: Physical activity in men and women with arthritis National Health Interview Survey, 2002. Am J Prev Med. 2006, 30: 385-393. 10.1016/j.amepre.2005.12.005.

    Article  PubMed  Google Scholar 

  64. Dunlop DD, Song J, Semanik PA, Chang RW, Sharma L, Bathon JM: Objective physical activity measurement in the osteoarthritis initiative: Are guidelines being met?. Arthritis Rheum. 2011, 63: 3372-3382. 10.1002/art.30562.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Hansen BH, Kolle E, Dyrstad SM, Holme I, Anderssen SA: Accelerometer-determined physical activity in adults and older people. Med Sci Sports Exerc. 2012, 44: 266-272. 10.1249/MSS.0b013e31822cb354.

    Article  PubMed  Google Scholar 

  66. Hansen BH, Holme I, Anderssen SA, Kolle E: Patterns of objectively measured physical activity in normal weight, overweight, and obese individuals (20-85 years): a cross-sectional study. PLoS One. 2013, 8: e53044-10.1371/journal.pone.0053044.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Kurtze N, Rangul V, Hustvedt BE, Flanders WD: Reliability and validity of self-reported physical activity in the Nord-Trondelag Health Study: HUNT 1. Scand J Public Health. 2008, 36: 52-61. 10.1177/1403494807085373.

    Article  PubMed  Google Scholar 

  68. Kuorinka I, Jonsson B, Kilbom A, Vinterberg H, Biering-Sorensen F, Andersson G: Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon. 1987, 18: 233-237. 10.1016/0003-6870(87)90010-X.

    Article  CAS  PubMed  Google Scholar 

  69. Pincus T, Sokka T, Kautiainen H: Further development of a physical function scale on a MDHAQ [corrected] for standard care of patients with rheumatic diseases. J Rheumatol. 2005, 32: 1432-1439.

    PubMed  Google Scholar 

  70. Nelson EC, Landgraf JM, Hays RD, Wasson JH, Kirk JW: The functional status of patients. How can it be measured in physicians' offices?. Med Care. 1990, 28: 1111-1126. 10.1097/00005650-199012000-00001.

    Article  CAS  PubMed  Google Scholar 

  71. Ware JEJ, Sherbourne CD: The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992, 30: 473-483. 10.1097/00005650-199206000-00002.

    Article  PubMed  Google Scholar 

  72. The EuroQol Group: EuroQol–a new facility for the measurement of health-related quality of life. Health Policy. 1990, 16: 199-208.

    Article  Google Scholar 

  73. 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: 1381-1395. 10.1249/01.MSS.0000078924.61453.FB.

    Article  PubMed  Google Scholar 

  74. Roos EM, Roos HP, Lohmander LS, Ekdahl C, Beynnon BD: Knee Injury and Osteoarthritis Outcome Score (KOOS)–development of a self-administered outcome measure. J Orthop Sports Phys Ther. 1998, 28: 88-96.

    Article  CAS  PubMed  Google Scholar 

  75. Klassbo M, Larsson E, Mannevik E: Hip disability and osteoarthritis outcome score. An extension of the Western Ontario and McMaster Universities Osteoarthritis Index. Scand J Rheumatol. 2003, 32: 46-51. 10.1080/03009740310000409.

    Article  PubMed  Google Scholar 

  76. Bellamy N, Campbell J, Haraoui B, Buchbinder R, Hobby K, Roth JH: Dimensionality and clinical importance of pain and disability in hand osteoarthritis: Development of the Australian/Canadian (AUSCAN) Osteoarthritis Hand Index. Osteoarthritis Cartilage. 2002, 10: 855-862. 10.1053/joca.2002.0837.

    Article  CAS  PubMed  Google Scholar 

  77. Dreiser RL, Maheu E, Guillou GB, Caspard H, Grouin JM: Validation of an algofunctional index for osteoarthritis of the hand. Rev Rhum Engl Ed. 1995, 62: 43S-53S.

    CAS  PubMed  Google Scholar 

  78. Chung KC, Pillsbury MS, Walters MR, Hayward RA: Reliability and validity testing of the Michigan Hand Outcomes Questionnaire. J Hand Surg Am. 1998, 23: 575-587. 10.1016/S0363-5023(98)80042-7.

    Article  CAS  PubMed  Google Scholar 

  79. Osteras N, Garratt A, Grotle M, Natvig B, Kjeken I, Kvien TK: Patient-reported quality of care for osteoarthritis: development and testing of the OsteoArthritis Quality Indicator Questionnaire. Arthritis Care Res (Hoboken). 2013, 10.1002/acr.21976.

    Google Scholar 

  80. Sturgill LP, Snyder-Mackler L, Manal TJ, Axe MJ: Interrater reliability of a clinical scale to assess knee joint effusion. J Orthop Sports Phys Ther. 2009, 39: 845-849.

    Article  PubMed  Google Scholar 

  81. Tegner Y, Lysholm J: Rating systems in the evaluation of knee ligament injuries. Clin Orthop Relat Res. 1985, 198: 43-49.

    PubMed  Google Scholar 

  82. Kothari M, Guermazi A, von IG, Miaux Y, Sieffert M, Block JE: Fixed-flexion radiography of the knee provides reproducible joint space width measurements in osteoarthritis. Eur Radiol. 2004, 14: 1568-1573.

    Article  PubMed  Google Scholar 

  83. Haugen IK, Lillegraven S, Slatkowsky-Christensen B, Haavardsholm EA, Sesseng S, Kvien TK: Hand osteoarthritis and MRI: development and first validation step of the proposed Oslo Hand Osteoarthritis MRI score. Ann Rheum Dis. 2011, 70: 1033-1038. 10.1136/ard.2010.144527.

    Article  PubMed  Google Scholar 

  84. Hammer HB, Bolton-King P, Bakkeheim V, Berg TH, Sundt E, Kongtorp AK: Examination of intra and interrater reliability with a new ultrasonographic reference atlas for scoring of synovitis in patients with rheumatoid arthritis. Ann Rheum Dis. 2011, 70: 1995-1998. 10.1136/ard.2011.152926.

    Article  PubMed  Google Scholar 

  85. Stamm TA, Ploner A, Machold KP, Smolen J: Moberg picking-up test in patients with inflammatory joint diseases: a survey of suitability in comparison with button test and measures of disease activity. Arthritis Rheum. 2003, 49: 626-632. 10.1002/art.11378.

    Article  PubMed  Google Scholar 

  86. American Thoracic Society: ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med. 2002, 166: 111-117.

    Article  Google Scholar 

  87. Jones CJ, Rikli RE, Beam WC: A 30-s chair-stand test as a measure of lower body strength in community-residing older adults. Res Q Exerc Sport. 1999, 70: 113-119. 10.1080/02701367.1999.10608028.

    Article  CAS  PubMed  Google Scholar 

  88. Beighton P, Solomon L, Soskolne CL: Articular mobility in an African population. Ann Rheum Dis. 1973, 32: 413-418. 10.1136/ard.32.5.413.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Fowkes FG, Murray GD, Butcher I, Heald CL, Lee RJ, Chambless LE: Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis. JAMA. 2008, 300: 197-208.

    Article  CAS  PubMed  Google Scholar 

  90. Laurent S, Cockcroft J, Van BL, Boutouyrie P, Giannattasio C, Hayoz D: Expert consensus document on arterial stiffness: methodological issues and clinical applications. Eur Heart J. 2006, 27: 2588-2605. 10.1093/eurheartj/ehl254.

    Article  PubMed  Google Scholar 

  91. Pauca AL, O'Rourke MF, Kon ND: Prospective evaluation of a method for estimating ascending aortic pressure from the radial artery pressure waveform. Hypertension. 2001, 38: 932-937. 10.1161/hy1001.096106.

    Article  CAS  PubMed  Google Scholar 

  92. Natvig B, Nessiøy I, Bruusgaard D, Rutle O: Musculoskeletal symtoms in a local community. Eur J Gen Pract. 1995, 1: 25-28. 10.3109/13814789509160751.

    Article  Google Scholar 

  93. Kamaleri Y, Natvig B, Ihlebaek CM, Bruusgaard D: Localized or widespread musculoskeletal pain: does it matter?. Pain. 2008, 138: 41-46. 10.1016/j.pain.2007.11.002.

    Article  PubMed  Google Scholar 

  94. Kamaleri Y, Natvig B, Ihlebaek CM, Benth JS, Bruusgaard D: Change in the number of musculoskeletal pain sites: A 14-year prospective study. Pain. 2009, 141: 25-30. 10.1016/j.pain.2008.09.013.

    Article  PubMed  Google Scholar 

  95. Natvig B: Musculoskeletal pain. From humdrum nuisance to chronic, disabling pain. [PhD Thesis]. 2001, Oslo: University of Oslo

    Google Scholar 

  96. Kvien TK, Glennas A, Knudsrod OG, Smedstad LM, Mowinckel P, Forre O: The prevalence and severity of rheumatoid arthritis in Oslo. Results from a county register and a population survey. Scand J Rheumatol. 1997, 26: 412-418. 10.3109/03009749709065712.

    Article  CAS  PubMed  Google Scholar 

  97. Hartge P: Participation in population studies. Epidemiology. 2006, 17: 252-254. 10.1097/01.ede.0000209441.24307.92.

    Article  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

Assistance was gratefully received from the patient research partner, Øyvor Andreassen. The MUST study is funded by The South-Eastern Norway Regional Health Authority Osteoarthritis research group. Additional funding from Anders Jahre Humanitarian Foundation, Dr. Trygve Gythfeldt & Wife’s Research Fund, and the Norwegian Rheumatism Association Research Fund are gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nina Østerås.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors participated in the design of the study. NØ drafted this article, but all authors were involved in drafting the article or revising it critically for important intellectual content. All the authors have read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

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/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Østerås, N., Risberg, M.A., Kvien, T.K. et al. Hand, hip and knee osteoarthritis in a Norwegian population-based study - The MUST protocol. BMC Musculoskelet Disord 14, 201 (2013). https://doi.org/10.1186/1471-2474-14-201

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2474-14-201

Keywords