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Prevalence and consequences of musculoskeletal pain in the upper and lower extremities: A cross-sectional analysis of patients with type 1 and type 2 diabetes in Denmark

  • Author Footnotes
    1 Twitter: @behnam_liaghat.
    Behnam Liaghat
    Correspondence
    Correspondence to: Department of Sports Science and Clinical Biomechanics. University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
    Footnotes
    1 Twitter: @behnam_liaghat.
    Affiliations
    Center for Muscle and Joint Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

    Centre for Evidence-Based Orthopaedics, Department of Orthopaedic Surgery, Zealand University Hospital, Køge, Denmark
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  • Lars Folkestad
    Affiliations
    Department of Endocrinology, Odense University Hospital, Odense, Denmark

    Department of Clinical Research, University of Southern Denmark, Odense, Denmark

    Open Patient Exploratory Network, University of Southern Denmark, Odense, Denmark
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  • Søren T. Skou
    Affiliations
    Center for Muscle and Joint Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

    The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark
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  • Bart Koes
    Affiliations
    Center for Muscle and Joint Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

    Department of General Practice, Erasmus MC, Rotterdam, the Netherlands
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  • Jan Hartvigsen
    Affiliations
    Center for Muscle and Joint Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

    Chiropractic Knowledge Hub, Odense, Denmark
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  • Author Footnotes
    1 Twitter: @behnam_liaghat.
Open AccessPublished:March 06, 2023DOI:https://doi.org/10.1016/j.pcd.2023.02.003

      Highlights

      • Pain in extremities is common in patients with type 1 and 2 diabetes from Denmark.
      • Women report more pain than men, and shoulder pain shows the highest prevalence.
      • Lower extremity pain is more common in type 2 diabetes than in type 1.
      • One-half reported decreased physical activity, and one-third sought care within a year.

      Abstract

      Aims

      To describe the one-week and 12-month prevalence of musculoskeletal pain in the upper and lower extremities and consequences in relation to care seeking, leisure time activity, and work life in patients with type 1 and 2 diabetes.

      Methods

      A cross-sectional survey including adults diagnosed with type 1 and 2 diabetes from two Danish secondary care databases. Questions covered pain prevalence (shoulder, elbow, hand, hip, knee, ankle) and its consequences based on the Standardised Nordic Questionnaire. Data was presented using proportions (95 % confidence intervals).

      Results

      The analysis included 3767 patients. The one-week prevalence was 9.3–30.8 % and 12-month prevalence 13.9–41.8 %, highest for shoulder pain (30.8–41.8 %). The prevalence was similar between type 1 and 2 diabetes for the upper extremity, but higher in type 2 for the lower extremity. Women had a higher pain prevalence for any joint for both diabetes types, while estimates did not vary between age groups (<60 or ≥60 years). More than half of the patients had reduced their activities at work or leisure time, and more than one-third had sought care during the past year because of pain.

      Conclusions

      Musculoskeletal pain in the upper and lower extremities is common in patients with type 1 and 2 diabetes from Denmark, with considerable consequences for work and leisure activities.

      Keywords

      1. Introduction

      One in 10 adults, 537 million people worldwide, are living with diabetes, a chronic disease characterised by high blood glucose levels, associated with several complications and responsible for 6.7 million deaths in 2021 [

      International Diabetes Federation. IDF Diabetes Atlas. 10th ed. Brussels, Belgium: International Diabetes Federation, 2021.

      ]. The burden of diabetes is growing with a predicted worldwide prevalence of 783 million by 2045 [

      International Diabetes Federation. IDF Diabetes Atlas. 10th ed. Brussels, Belgium: International Diabetes Federation, 2021.

      ]. In Denmark, 4.9 % of adults live with diabetes (2018), and the prevalence is expected to almost double by 2030 [
      • Carstensen B.
      • Rønn P.F.
      • Jørgensen M.E.
      Prevalence, incidence and mortality of type 1 and type 2 diabetes in Denmark 1996-2016.
      ,
      • Carstensen B.
      • Rønn P.F.
      • Jørgensen M.E.
      Components of diabetes prevalence in Denmark 1996-2016 and future trends until 2030.
      ]. Diabetes can be grouped according to cause into the autoimmune type 1 with absolute insulin insufficiency and type 2 with insulin resistance [
      • Banday M.Z.
      • Sameer A.S.
      • Nissar S.
      Pathophysiology of diabetes: an overview.
      ]. Type 2 diabetes accounts for 85–95 % of diabetes cases in high-income countries [

      International Diabetes Federation. IDF Diabetes Atlas. 10th ed. Brussels, Belgium: International Diabetes Federation, 2021.

      ], and obesity and physical inactivity are among commonly known risk factors [
      • Draznin B.
      • Aroda V.R.
      • Bakris G.
      • Benson G.
      • Brown F.M.
      • Freeman R.
      • et al.
      5. Facilitating behavior change and well-being to improve health outcomes: standards of medical care in diabetes-2022.
      ,
      • Knowler W.C.
      • Barrett-Connor E.
      • Fowler S.E.
      • Hamman R.F.
      • Lachin J.M.
      • Walker E.A.
      • et al.
      Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.
      ].
      Diabetes is associated with comorbidities and medical complications that increase the risks of morbidity and mortality [
      • Dalsgaard E.M.
      • Skriver M.V.
      • Sandbaek A.
      • Vestergaard M.
      Socioeconomic position, type 2 diabetes and long-term risk of death.
      ], which in turn negatively impact the patient’s quality of life [
      • Guariguata L.
      By the numbers: new estimates from the IDF Diabetes Atlas Update for 2012.
      ]. Pain in muscles and joints is more common in patients with diabetes compared with the general population [
      • Molsted S.
      • Tribler J.
      • Snorgaard O.
      Musculoskeletal pain in patients with type 2 diabetes.
      ,
      • Herbert M.S.
      • Varley A.L.
      • Andreae S.J.
      • Goodin B.R.
      • Bradley L.A.
      • Safford M.M.
      Association of pain with HbA1c in a predominantly black population of community-dwelling adults with diabetes: a cross-sectional analysis.
      ,
      • Pai L.W.
      • Hung C.T.
      • Li S.F.
      • Chen L.L.
      • Chung Y.
      • Liu H.L.
      Musculoskeletal pain in people with and without type 2 diabetes in Taiwan: a population-based, retrospective cohort study.
      ]. Diabetes is associated with a range of common musculoskeletal (MSK) conditions such as osteoarthritis, osteoporosis, neuropathy, and rheumatoid arthritis [
      • Rehling T.
      • Bjørkman A.D.
      • Andersen M.B.
      • Ekholm O.
      • Molsted S.
      Diabetes is associated with musculoskeletal pain, osteoarthritis, osteoporosis, and rheumatoid arthritis.
      ,
      • Louati K.
      • Vidal C.
      • Berenbaum F.
      • Sellam J.
      Association between diabetes mellitus and osteoarthritis: systematic literature review and meta-analysis.
      ,
      • Williams M.F.
      • London D.A.
      • Husni E.M.
      • Navaneethan S.
      • Kashyap S.R.
      Type 2 diabetes and osteoarthritis: a systematic review and meta-analysis.
      ,
      • López-López L.
      • Losa-Iglesias M.E.
      • Gómez-Salgado J.
      • Becerro-de-Bengoa-Vallejo R.
      • Romero-Morales C.
      • López-López D.
      • et al.
      The implications of diabetic foot health-related with quality of life: a retrospective case control investigation.
      ]. Known less common rheumatologic disorders associated with diabetes are stiff hand syndrome, Dupuytren’s contracture, adhesive capsulitis, trigger finger, carpal tunnel syndrome, diffuse idiopathic skeletal hyperostosis, Charcot arthropathy, and generally reduced joint mobility [
      • Lebiedz-Odrobina D.
      • Kay J.
      Rheumatic manifestations of diabetes mellitus.
      ]. Less known, however, is whether patients with diabetes also suffer from more common non-specific and regional pain syndromes that are endemic in the population. In Denmark, 56.4–57.3 % of the general population report MSK pain during the past 14 days, and patients with diabetes report MSK pain more frequently [
      • Molsted S.
      • Tribler J.
      • Snorgaard O.
      Musculoskeletal pain in patients with type 2 diabetes.
      ,
      • Rehling T.
      • Bjørkman A.D.
      • Andersen M.B.
      • Ekholm O.
      • Molsted S.
      Diabetes is associated with musculoskeletal pain, osteoarthritis, osteoporosis, and rheumatoid arthritis.
      ,
      • Rosendahl H.
      • Davidsen M.
      • Møller S.
      • Ibáñez Román J.
      • Kragelund K.
      • Christensen A.
      • et al.
      Danes' health - the national health profile 2021.
      ]. However, these previous studies reporting on MSK pain in patients with diabetes are either small, do not differentiate between diabetes types, or do not report on specific pain sites [
      • Molsted S.
      • Tribler J.
      • Snorgaard O.
      Musculoskeletal pain in patients with type 2 diabetes.
      ,
      • Rehling T.
      • Bjørkman A.D.
      • Andersen M.B.
      • Ekholm O.
      • Molsted S.
      Diabetes is associated with musculoskeletal pain, osteoarthritis, osteoporosis, and rheumatoid arthritis.
      ]. Preliminary evidence suggests that MSK pain is not a trivial complaint in patients with diabetes because it may complicate the patient’s progress and translates into a higher healthcare load and treatment burden [
      • Skou S.T.
      • Mair F.S.
      • Fortin M.
      • Guthrie B.
      • Nunes B.P.
      • Miranda J.J.
      • et al.
      Multimorbidity.
      ], possibly because patients with diabetes have several barriers to being physically active, among them MSK pain [
      • Laranjo L.
      • Neves A.L.
      • Costa A.
      • Ribeiro R.T.
      • Couto L.
      • Sá A.B.
      Facilitators, barriers and expectations in the self-management of type 2 diabetes--a qualitative study from Portugal.
      ]. The complications may be reduced by identifying MSK problems early to promote physical activity [
      • Pai L.W.
      • Hung C.T.
      • Li S.F.
      • Chen L.L.
      • Chung Y.
      • Liu H.L.
      Musculoskeletal pain in people with and without type 2 diabetes in Taiwan: a population-based, retrospective cohort study.
      ,
      • Rehling T.
      • Bjørkman A.D.
      • Andersen M.B.
      • Ekholm O.
      • Molsted S.
      Diabetes is associated with musculoskeletal pain, osteoarthritis, osteoporosis, and rheumatoid arthritis.
      ,
      • Mortensen S.R.
      • Kristensen P.L.
      • Grøntved A.
      • Ried-Larsen M.
      • Lau C.
      • Skou S.T.
      Determinants of physical activity among 6856 individuals with diabetes: a nationwide cross-sectional study.
      ].
      Therefore, this study aims to describe the prevalence and characteristics of pain in the upper extremity (shoulder, elbow, hand) and lower extremity (hip, knee, ankle) in patients with type 1 and 2 diabetes from two diabetes care centres in the Region of Southern Denmark. Secondly, describe the consequences of MSK pain on care-seeking and physical activity at work and during leisure time.

      2. Method

      2.1 Study design

      This is a cross-sectional survey based on two large clinical diabetes cohorts in the Region of Southern Denmark, Denmark. The reporting adheres to the Strengthening the Reporting of Observational Studies in Epidemiology guidelines for cross-sectional studies (STROBE).

      2.2 Population

      Patients ≥ 18 years of age diagnosed with type 1 and 2 diabetes and registered in two large Danish hospitals (Hospital South West Jutland and Odense University Hospital) were invited to participate. This cohort has been described in detail elsewhere [
      • Boyle E.
      • Folkestad L.
      • Frafjord E.
      • Koes B.W.
      • Skou S.T.
      • Hartvigsen J.
      The Danish diabetes musculoskeletal cohort: non-responder analysis of an electronic survey using registry data.
      ].

      2.3 Procedure/Data collection

      A survey was distributed through Odense Patient Exploratory Network (OPEN) via the official Danish electronic mail distribution system (e-Boks), established in 2014 and used by 91.7 % of Danish residents for their secured digital mail. Responses were captured using a REDCap database. The questionnaire consisted of the Standardised Nordic Questionnaire [
      • Kuorinka I.
      • Jonsson B.
      • Kilbom A.
      • Vinterberg H.
      • Biering-Sørensen F.
      • Andersson G.
      • et al.
      Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms.
      ] and questions about education, occupation, physical job exposures, and physical activity at work and during leisure time. The Standardised Nordic Questionnaire has two sections [
      • Kuorinka I.
      • Jonsson B.
      • Kilbom A.
      • Vinterberg H.
      • Biering-Sørensen F.
      • Andersson G.
      • et al.
      Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms.
      ]. Section 1 has 40 items identifying body regions causing MSK problems. Completion is aided by a body map illustrating the nine symptom sites, i.e. neck, shoulders, upper back, elbows, low back, wrist/hands, hips, knees and ankles/feet. Respondents are asked if they have had any pain/trouble at the specific sites during the past 12 months and the past seven days which has interfered with their normal activity [
      • Kuorinka I.
      • Jonsson B.
      • Kilbom A.
      • Vinterberg H.
      • Biering-Sørensen F.
      • Andersson G.
      • et al.
      Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms.
      ]. Section 2 consists of 25 questions that elicit any accidents affecting each area, functional impact at home and work (change of job or duties), duration of the problem, and seeking care (assessments and treatments by a health professional) [
      • Kuorinka I.
      • Jonsson B.
      • Kilbom A.
      • Vinterberg H.
      • Biering-Sørensen F.
      • Andersson G.
      • et al.
      Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms.
      ]. Additional information was collected from the diabetes registries, including diabetes type, gender, age, and BMI. Further details about the data collection have been described elsewhere [
      • Boyle E.
      • Folkestad L.
      • Frafjord E.
      • Koes B.W.
      • Skou S.T.
      • Hartvigsen J.
      The Danish diabetes musculoskeletal cohort: non-responder analysis of an electronic survey using registry data.
      ].
      The Danish Board of Health and the Danish Patient Safety Authority approved access to the two clinical cohorts (file 3–30132031/1). All participants provided informed consent to participate in the study. The study was conducted according to the Declaration of Helsinki.

      2.4 Variables

      Age and gender: Statistics Denmark generated the age and sex of everyone in the sample frame before scrambling the CPR number.
      Type of diabetes: The Danish National Patient Register records all hospital, emergency room, and ambulatory secondary care clinic encounters. Using the last discharge diagnosis recorded in the register, the diabetes type was determined using the ICD10 codes: E10.XX for type 1 diabetes, E.11.XX for type 2, E13.XX for secondary diabetes and E14.XX for unspecified diabetes. The quality of the register is high, and the level of incorrect discharge diagnosis is below 3 % [
      • Schmidt M.
      • Schmidt S.A.
      • Sandegaard J.L.
      • Ehrenstein V.
      • Pedersen L.
      • Sørensen H.T.
      The Danish National Patient Registry: a review of content, data quality, and research potential.
      ].

      2.5 Statistical analysis

      Participant characteristics were presented using n (proportion). The prevalence of MSK pain was presented using n (proportion) with a 95 % Confidence Interval (CI). The prevalence of pain in the six different body regions (shoulder, elbow, hand, hip, knee, ankle) was estimated separately for type 1 and 2 diabetes and presented by gender (men or women) and age (< 60 or ≥ 60 years). Type 1 Diabetes and secondary diabetes were pooled, and unspecified diabetes was excluded from this analysis. The consequences of pain in the six body regions were estimated using n (proportion) with a 95 % CI and presented separately for diabetes type 1 and 2 and combined. Non-response for questions (i.e., empty cells) was considered a negative answer (i.e. not having pain). Stata (StataCorp LLC, Texas, USA) version 17.0 was used for the statistical analyses.

      3. Results

      The questionnaire was distributed to 10582 patients with diabetes with a 36.0 % response rate, and data from 3767 patients were included in the analysis (Fig. 1). Men accounted for 59.8 % of the patients, and most of the patients were between 51 and 70 years (Table 1) [
      • Boyle E.
      • Folkestad L.
      • Frafjord E.
      • Koes B.W.
      • Skou S.T.
      • Hartvigsen J.
      The Danish diabetes musculoskeletal cohort: non-responder analysis of an electronic survey using registry data.
      ].
      Fig. 1
      Fig. 1Flow chart of the patient inclusion process.
      Table 1Characteristics of study population (number (%)).
      CharacteristicAll patientsDiabetes type 1Diabetes type 2
      n = 3767n = 1626n = 2141
      Gender
       Men2253 (59.81)889 (54.67)1364 (63.71)
       Women1514 (40.19)737 (45.33)777(36.29)
      Age group
       18–30249 (6.61)216 (13.28)33 (1.54)
       31–40292 (7.75)219 (13.47)73 (3.41)
       41–50586 (15.56)339 (20.85)247 (11.54)
       51–60957 (25.40)387 (23.80)570 (26.62)
       61–701065 (28.27)325 (19.99)740 (34.56)
       70+618 (16.41)140 (8.61)478 (22.33)
      BMI
       Underweight (<18.5)29 (0.77)20 (1.23)9 (0.42)
       Normal or healthy weight (18.5–24.99)898 (23.84)668 (41.08)230 (10.74)
       Overweight (25 to <30)1223 (32.47)566 (34.81)657 (30.69)
       Obese (≥ 30)1351 (35.86)298 (18.33)1053 (49.18)
       Not reported266 (7.06)74 (4.55)192 (8.97)
      Smoking
       Never smoked1530 (40.62)770 (47.36)760 (35.50)
       Ex-smoker1334 (35.41)494 (30.38)840 (39.23)
       Smoker523 (13.88)242 (14.88)281 (13.12)
       Not reported380 (10.09)120 (7.38)260 (12.14)
      Education
       Primary and lower secondary661 (17.55)203 (12.48)458 (21.39)
       Secondary or vocational education651 (17.28)311 (19.13)340 (15.88)
       Short-term higher education1151 (30.55)494 (30.38)657 (30.69)
       Medium-term higher education691 (18.34)358 (22.02)333 (15.55)
       Long-term higher education225 (5.97)134 (8.24)91 (4.25)
       Not reported388 (10.30)126 (7.75)262 (12.24)
      Physical activity minutes/week
       0 min/no activity606 (16.09)220 (13.53)386 (18.03)
       < 30937 (24.87)382 (23.49)555 (25.92)
       30–59664 (17.63)285 (17.53)379 (17.70)
       60–89378 (10.03)192 (11.81)186 (8.69)
       90–120331 (8.79)171 (10.52)160 (7.47)
       > 120459 (12.18)245 (15.07)214 (10.00)
       Not reported392 (10.41)131 (8.06)261 (12.19)
      Abbreviations: n, number; BMI, body mass index.

      3.1 Prevalence of musculoskeletal pain in the upper and lower extremities

      Musculoskeletal pain in the upper and lower extremities was common in patients with diabetes, with the only major difference between those with type 1 and type 2 diabetes being a generally higher prevalence of lower extremity pain in type 2 diabetes (Table 2). The one-week prevalence ranged from 9.3 % (elbow) to 30.8 % (shoulder) (type 1) and 9.9 % (elbow) to 30.5 % (shoulder) (type 2), while 41.8 % and 40.5 % of patients with type 1 and type 2 diabetes reported shoulder pain the past year, respectively (Table 2). The prevalence was consistently higher in women than men for all body regions (Table 2). Minor differences between age groups were found, with prevalence in type 1 being somewhat lower in patients ≥ 60 years for the elbow (past 12 months 11.6 % vs 14.9 %) and higher for the hip (past 12 months 25.1 % vs 19.6 %) and ankle (past seven days 29.9 % vs 20.7 %, and past 12 months 33.1 % vs 28.0 %) (Table 2). The prevalence of pain in type 2 was lower for the upper extremity in patients ≥ 60 years except for the hand (past seven days), while for the lower extremity, it was higher for the hip (past 12 months) and hand (past seven days), and lower for the knee (past 12 months) (Table 2). The prevalence of pain was generally higher in type 2 diabetes compared with type 1 for age subgroups (< 60 years or ≥ 60 years) (Table 2), but only for the lower extremity proportions for the total group (Table 2). Of all patients, 56.3–71.6 % reported having pain for more than 30 days within the past year, and slightly more patients with type 2 diabetes reported more than 30 days of MSK pain in the upper and lower extremities compared to those with type 1 (Table 3).
      Table 2Prevalence of pain in the upper and lower extremities in patients with type 1 and 2 diabetes by gender and age.
      MenWomen< 60 years60 years or aboveTotal
      Body regionn (%, 95 % CI)n (%, 95 % CI)n (%, 95 % CI)n (%, 95 % CI)n (%, 95 % CI)
      Diabetes type 1(n = 889)(n = 737)(n = 1125)(n = 501)(n = 1626)
      Shoulder
       Past 12 months335 (37.7, 34.6; 40.9)345 (46.8, 43.2; 50.4)475 (42.2, 39.4; 45.1)205 (40.9, 36.7; 45.23)680 (41.8, 39.4; 44.2)
       Past seven days237 (26.7, 23.9; 29.7)263 (35.7, 32.3; 39.2)345 (30.7, 28.0; 33.4)155 (30.9, 27.0; 35.1)500 (30.8, 28.6; 33.0)
      Elbow
       Past 12 months103 (11.6, 9,6; 13.9)123 (16.7, 14.2; 19.6)168 (14.9, 13.0; 17.1)58 (11.6, 9.1; 14.7)226 (13.9, 12.3; 15.7)
       Past seven days69 (7.8, 6.2; 9.7)83 (11.2, 9.1; 13.7)109 (9.7, 8.1; 11.6)43 (8.6, 6.4; 11.4)152 (9.3, 8.0; 10.9)
      Hand
       Past 12 months222 (25.0, 22.2; 28.0)301 (40.8, 37.3; 44.4)359 (31.9, 29.2; 34.7)164 (32.7, 28.8; 37.0)523 (32.2, 29.9; 34.5)
       Past seven days155 (17.4, 15.1; 20.1)219 (29.7, 26.5; 33.1)255 (22.7, 20.3; 25.2)119 (23.8, 20.2; 27.7)374 (23.0, 21.0; 25.1)
      Hip
       Past 12 months149 (16.8, 14.4; 19.3)197 (26.7, 23.7; 30.0)220 (19.6, 17.3; 22,0)126 (25.1, 21.5; 29.1)346 (21.3, 19.4; 23.3)
       Past seven days106 (11.9, 10,0; 14.2)134 (18.2, 15.6; 21.1)159 (14.1, 12.2; 16.3)81 (16.1, 13.2; 19.7)240 (14.8, 13.1; 16.5)
      Knee
       Past 12 months261 (29.4, 26.5; 32.4)262 (35.5, 32.12; 39.1)352 (31.2, 28.6; 34.0)171 (34.1, 30.1; 38.4)523 (32.2, 29.9; 34.5)
       Past seven days176 (19.8, 17.3; 22.5)166 (22.5, 19.6; 25.7)229 (20.3, 18.1; 22.8)113 (22.6, 19.1; 26.4)342 (21.0, 19.1; 23.1)
      Ankle
       Past 12 months234 (26.3, 23.5; 29.3)247 (33.5, 30.2; 37.0)315 (28.0, 25.5; 30.7)166 (33.1, 29.1; 37.4)481 (29.6, 27.4; 31.8)
       Past seven days171 (19.2, 16.8; 22,0)197 (26.7, 23.7; 30.0)233 (20.7, 18.4; 23.2)135 (26.9, 23.2; 31.0)368 (22.6, 20.7; 24.7)
      Diabetes type 2(n = 1364)(n = 777)(n = 859)(n = 1282)(n = 2141)
      Shoulder
       Past 12 months510 (37.4, 34.9; 40.0)357 (45.9, 42.5; 49.5)397 (46.2, 43,0; 49.6)470 (36.7, 34.0; 39.3)867 (40.5, 38.4; 42.6)
       Past seven days378 (27.7, 25.4; 30.2)275 (35.4, 32.1; 38.8)287 (33.4, 30.3; 36.6)366 (28.5, 26.1; 31.0)653 (30.5, 28.6; 32.5)
      Elbow
       Past 12 months159 (11.7, 10.0; 13.5)143 (18.4, 15.8; 21.3)154 (17.9, 15.5; 20.6)148 (11.5, 9.9; 13.4)302 (14.1, 12.7; 15.6)
       Past seven days108 (7.9, 6.6; 9.5)104 (13.4, 11.2; 16.0)109 (12.7, 10.6; 15.1)103 (8.0, 6.7; 9.7)212 (9.9, 8.7; 11.2)
      Hand
       Past 12 months342 (25.1, 22.8; 27.4)292 (37.6, 34.2; 41.0)279 (32.5, 29.4; 35.7)355 (27.7, 25.3; 30.2)634 (29.6, 27.7; 31.6)
       Past seven days253 (18.5, 16.6; 20.7)217 (27.9, 24.8; 31.1)194 (22.6, 20.0; 25.5)276 (21.5, 19.4; 23.9)470 (22.0, 20.2; 23.8)
      Hip
       Past 12 months342 (25.1, 22.8; 27.4)276 (35.6, 32.2; 39.0)232 (27.0, 24.1; 30.0)386 (30.1, 27.7; 32.7)618 (28.9, 27,0; 30.8)
       Past seven days252 (18.4, 16.5; 20.6)210 (27.0, 24.0; 30.2)168 (19.6, 17.0; 22.3)294 (22.9, 20.7; 25.3)462 (21.6, 19.9; 23.4)
      Knee
       Past 12 months505 (37.0, 34.5; 39.6)357 (45.9, 42.5; 49.5)366 (42.6, 39.3; 45.9)496 (38.6, 36.1; 41.4)862 (40.3, 38.2; 42.4)
       Past seven days358 (26.2, 24.0; 28.6)245 (31.5, 28.3; 34.8)251 (29.2, 26.3; 32.4)352 (27.5, 25.1; 30.0)603 (28.2, 26.3; 30.1)
      Ankle
       Past 12 months485 (35.6, 33.1; 38.1)331 (42.6, 39.2; 46.1)325 (37.8, 34,6; 41.1)491 (38.3, 35.7; 41,1)816 (38.1, 36.0; 40.2)
       Past seven days385 (28.2, 25.9; 30.7)254 (32.7, 29.5; 36.1)238 (27.7, 24.8; 30.8)401 (31.3, 28.8; 33.9)639 (29.8, 28,0; 31.8)
      Abbreviations: n, number of patients; CI, Confidence Interval. In Table, non-response was considered as no pain.
      Table 3Consequences of upper and lower extremity pain in diabetes type 1, type 2, and for all patients.
      Type of consequenceShoulderElbowHandHipKneeAnkle
      n (%, 95 % CI)n (%, 95 % CI)n (%, 95 % CI)n (%, 95 % CI)n (%, 95 % CI)n (%, 95 % CI)
      Type 1 diabetes
      Days with pain the past year
       0–7 days100 (14.7, 12.3; 17.6)42 (18.7, 14.1; 24.3)93 (17.8, 14.8; 21.3)83 (24.0, 19.8; 28.8)132 (25.4, 21.8; 29.3)68 (14.1, 11.3; 17.6)
       8–30 days115 (17.0, 14.3; 20.0)55 (24.4, 19.2; 30.5)105 (20.1, 16.9; 23.8)71 (20.5, 16.6; 25.1)114 (21.9, 18.6; 25.7)87 (18.1, 14.9; 21.8)
       > 30 days463 (68.3, 64.7; 71.7)128 (56.9, 50.3; 63.2)324 (62.1, 57.8; 66.1)192 (55.5, 50.2; 60.7)274 (52.7, 48.4; 57.0)326 (67.8, 63.5; 71.8)
      Reduced activity in the past year
       Leisure time364 (56.5, 52.7; 60.3)129 (58.9, 52.2; 65.3)273 (55.0, 50.6; 59.4)195 (58.9, 53.5; 64.1)283 (56.5, 52.1; 60.8)260 (57.1, 52.5; 61.6)
       At work196 (32.7, 29.0; 36.5)68 (33.8, 27.6; 40.7)156 (34.2, 30.0; 38.7)82 (28.1, 23.2; 33.5)114 (24.9, 21.2; 29.1)112 (27.0, 22.9; 31,5)
      Care-seeking the past year312 (46.0, 42.3; 49.8)83 (37.4,31.2; 44.0)168 (32.2, 28.4; 36.4)114 (33.2, 28.4; 38.4)119 (22.9, 19.5; 26.7)186 (38.9, 34.6; 43.4)
      Change of work tasks227 (25.4, 22.6; 28.3)80 (23.8, 19.5; 28.7)208 (31.3, 27.9; 34.9)85 (21.7, 17.9; 26.1)120 (18.5,15.7; 21.7)96 (16.5, 13.7; 19.8)
      Prevented from working the past year
       1–7 days104 (15.6, 13.0; 18.6)37 (16.6, 12.2; 22.1)71 (14.0, 11.3; 17.3)45 (13.3, 10.1; 17.4)85 (16.7, 13.7; 20.2)61 (13.1, 10.3; 16.4)
       8–30 days87 (13.1, 10.7; 15.8)30 (13.5, 9.6; 18.6)71 (14.0, 11.3; 17.3)48 (14.2, 10.9; 18.4)56 (11.0, 8.6; 14.1)56 (12.0, 9.3; 15.3)
       > 30 days139 (20.9, 17.9; 24.1)44 (19.7, 15.0; 25.5)121 (24.0, 20.4; 27.8)56 (16.6, 13.0; 20.9)60 (11.8, 9.3, 14.9)88 (18.8, 15.5; 22.7)
      Type 2 diabetes
      Days with pain the past year
       0–7 days105 (12.2, 10.2; 14.5)53 (17.5, 13.6; 22.3)82 (13.0, 10.6; 15.8)97 (15.8, 13.1; 18.9)146 (17.0, 14.6; 19.7)90 (11.1, 9.1; 13.4)
       8–30 days175 (20.3, 17.7; 23.1)70 (23.2, 18.7; 28.3)135 (21.4, 18,3; 24.7)138 (22.4, 19.3; 25.9)211 (24.6, 21.8; 27.6)123 (15.1, 12.8; 17.7)
       > 30 days582 (67.5, 64.3; 70.6)179 (59.3, 53.6; 64.7)415 (65.7, 61.9; 69.3)380 (61.8, 57.9; 65.6)502 (58.4, 55.1; 61.7)601 (73.8, 70.7; 76.7)
      Reduced activity in the past year
       Leisure time471 (57.8, 54.4; 61.1)178 (61.4, 55.6; 66.8)331 (55.3, 51.2; 59.2)402 (68.3, 64.4; 71.9)525 (64.7, 61.3; 67.9)486 (62.5, 59.0; 65.8)
       At work219 (29.4, 26.2; 32.8)86 (34.0, 28.4; 40.1)165 (30.4, 26.7; 34.5)147(30.6, 26.6; 34.8)204 (28.4, 25.2;31.8)169 (29.7, 26.4; 33.4)
      Care-seeking the past year371 (43.1, 39.8; 46.4)96 (31.9, 26.9; 37.4)187 (29.6, 26.2; 33.3)222 (36.3, 32.6; 40.2)235 (27.5, 24.6; 30.6)315 (38.7, 35.4; 42.1)
      Change of work tasks258 (23.6, 21.2; 26,2)106 (26.5, 22.4; 31.1)199 (24.8, 21.9; 27.9)157 (23.0, 19.9; 26.3)240 (23.9, 21.4; 26.7)167 (17.6, 15.3; 20.2)
      Prevented from working the past year
       1–7 days114 (13.5, 11.4; 16.0)50 (17.1, 13.2; 21.8)78 (12.6, 10.2; 15.4)81 (13.6, 11.0; 16.6)143 (17.2, 14.8; 19.9)92 (11.6, 9.5; 14.0)
       8–30 days126 (15.0, 12.7; 17.5)54 (18.4, 14.4; 23.3)87 (14.0, 11.5; 17.0)104 (17.4, 14.6; 20.7)119 (14.3, 12.1; 16.9)120 (15.1, 12.8; 17.8)
       > 30 days219 (26.0, 23.2; 29.1)82 (28.0, 23.1; 33.4)172 (27.7, 24.4; 31.4)174 (29.1, 25.6; 32.9)184 (22.1, 19.4; 25.1)248 (31.3, 28.1; 34.6)
      All patients
      Days with pain the past year
       0–7 days205 (13.3, 11.7; 15.1)95 (18.0, 15.0; 21.6)175 (15.2, 13.2; 17.4)180 (18.7, 16.4; 21.3)278 (20.2, 18.1; 22.4)158 (12.2, 10.5; 14.1)
       8–30 days290 (18.8, 17.0; 20.9)125 (23.7, 20.3; 27.5)240 (20.8, 18.6; 23.2)209 (21.7, 19.2; 24.5)325 (23.6, 21.4; 25.9)210 (16.2, 14.3; 18.3)
       > 30 days1045 (67.9, 65.5; 70.1)307 (58.3, 54.0; 62.4)739 (64.0, 61.2; 66.8)572 (59.5, 56.4; 62.6)776 (56.3, 53.6; 58.9)927 (71.6, 69.1; 74.0)
      Reduced activity in the past year
       Leisure time835 (57.2, 54.7; 59.8)307 (60.3, 56.0; 64.5)604 (55.2, 52.2; 58.1)597 (64.9, 61.7; 67.9)808 (61.5,58.9; 64.1)746 (60.5, 57.7; 63.2)
       At work415 (30.9, 28.4; 33.4)154 (33.9, 29.7; 38.4)321 (32.2, 29.3; 35.1)229 (29.6, 26.5; 32.9)318 (27.0, 24.6; 29.7)308 (28.7, 26.0; 31.5)
      Seeking care683 (44.4, 41.9; 46.9)179 (34.2, 30.3; 38.4)355 (30.8, 28.2; 33.5)336 (35.2, 32.2; 38.3)354 (25.7, 23.5; 28.1)501 (38.8, 36.2; 41.5)
      Change of work tasks485 (24.4, 22.6; 26.3)186 (25.3, 22.3; 28.5)407 (27.7, 25.5; 30.1)242 (22.5, 20.1; 25.1)360 (21.8, 19.9; 23.9)263 (17.2, 15.4; 19.2)
      Prevented from working the past year
       1–7 days218 (14.5, 12.8; 16.3)87 (16.9, 13.9; 20.4)149 (13.2, 11.4: 15.3)126 (13.5, 11.4; 15.8)228 (17.0, 15.1; 19.1)153 (12.1, 10.5; 14.1)
       8–30 days213 (14.1, 12.5; 16.0)84 (16.3, 13.3; 19.7)158 (14.0, 12.1; 16.2)152 (16.3, 14.0; 18.8)175 (13.1, 11.4; 15.0)176 (14.0, 12.2; 16.0)
       > 30 days358 (23.7, 21.7; 26.0)126 (24.4, 20.9; 28.3)293 (26.0, 23.5; 28.7)230 (24.6, 21.9; 27.5)244 (18.2, 16.2; 20.4)336 (26.7, 24.3; 29.2)
      Abbreviations; CI, Confidence Interval.

      3.2 Consequences of pain

      Musculoskeletal pain in the upper and lower extremities considerably impacted leisure time, work, and care-seeking behaviour (Table 3). Approximately one-third of all patients reported having sought care within the past year, with the highest prevalence for the shoulder (44.4 %) and lowest for the knee (25.7 %). One of four reported change of work tasks because of pain, and the same proportion reported being unable to work due to pain for more than 30 days in the past year (Table 3). Further, the prevalence of reduced leisure activity the past year was higher for type 2 compared to type 1 for the lower extremity (62.5–68.3 % vs 56.5–58.9 %) and for seeking care for the knee (27.5 % vs 22.9 %) (Table 3). Change of work tasks was higher for type 1 for the hand and type 2 for the knee. Generally, more patients with type 2 reported being unable to work the past year for more than 30 days across all body regions.

      4. Discussion

      MSK pain was common in patients with type 1 and 2 diabetes from two diabetes centres in the Region of Southern Denmark, with shoulder pain having the highest prevalence, and lower extremity pain being more common in diabetes type 2 as compared to type 1. More women than men reported pain, but age had relatively little influence. MSK pain considerably impacted patients´ leisure time and work life. A slightly larger proportion of patients with type 2 diabetes experienced consequences of pain in daily activity, care-seeking, and work life.
      Patients with diabetes report a considerably higher prevalence of MSK pain in the upper and lower extremities than the general Danish population. In a nationally representative sample of the Danish population aged 16 and older, the overall pain prevalence during the past 14 days ranged between 2.8 % and 12.8 % for the upper extremity versus 9.3–30.8 % in our study and 5.4–9.8 for the lower extremity vs 14.8–29.8 % in our study [
      • Hartvigsen J.
      • Davidsen M.
      • Hestbaek L.
      • Sogaard K.
      • Roos E.M.
      Patterns of musculoskeletal pain in the population: a latent class analysis using a nationally representative interviewer-based survey of 4817 Danes.
      ,
      • Hartvigsen J.
      • Davidsen M.
      • Søgaard K.
      • Roos E.M.
      • Hestbaek L.
      Self-reported musculoskeletal pain predicts long-term increase in general health care use: a population-based cohort study with 20-year follow-up.
      ]. Similar to our findings, the shoulder had the highest pain prevalence in the extremities in the general population, and a higher proportion of women reported MSK pain compared with men [
      • Molsted S.
      • Tribler J.
      • Snorgaard O.
      Musculoskeletal pain in patients with type 2 diabetes.
      ,
      • Hartvigsen J.
      • Davidsen M.
      • Hestbaek L.
      • Sogaard K.
      • Roos E.M.
      Patterns of musculoskeletal pain in the population: a latent class analysis using a nationally representative interviewer-based survey of 4817 Danes.
      ]. The higher prevalence of pain in women compared to men is in line with results from other studies of the general populations [
      • Côté P.
      • Cassidy J.D.
      • Carroll L.
      The Saskatchewan Health and Back Pain Survey. The prevalence of neck pain and related disability in Saskatchewan adults.
      ,
      • Skovron M.L.
      • Szpalski M.
      • Nordin M.
      • Melot C.
      • Cukier D.
      Sociocultural factors and back pain. A population-based study in Belgian adults.
      ]. Another Danish survey study (n = 951) using a different questionnaire (Danish Health and Morbidity Survey 2005 Questionnaire) and pain definition (Yes, very bothered; Yes, bothered a little; or No) also found that MSK pain (pain in the shoulder and neck; pain in the arm, hand, knee and/or hip) in type 2 diabetes was significantly higher compared with age, gender, and region matched controls [
      • Molsted S.
      • Tribler J.
      • Snorgaard O.
      Musculoskeletal pain in patients with type 2 diabetes.
      ]. However, the association between diabetes and MSK pain seems inconsistent across MSK pain sites. Carvalho- E-Silva et al [
      • Carvalho-e-Silva A.P.
      • Ferreira M.
      • Ferreira P.
      • Harmer A.
      Does type 2 diabetes increase the risk of musculoskeletal pain? Cross-sectional and longitudinal analyses of UK biobank data.
      ] found the association between type 2 diabetes and back pain was non-significant after adjusting for MSK risk factors but remained for hip and neck/shoulder pain. Despite different methodologies and patient selection, our findings add to the growing evidence that patients with diabetes have high prevalence of MSK pain, highlighting a significant clinical problem that needs to be addressed - because being physically active is a cornerstone in the treatment of diabetes, but MSK pain may be an obstacle that needs assessment and adequate treatment to improve the possibility for being physically active [
      • Covinsky K.E.
      • Lindquist K.
      • Dunlop D.D.
      • Yelin E.
      Pain, functional limitations, and aging.
      ].
      A relatively high proportion of patients in our study reported that pain in the extremities influenced their ability to be physically active at work (ranging from 27.0 % to 33.9 % across body regions for the total group) and during leisure time (55.2–64.9 %), and many sought care (25.7–44.4 %), which is of concern. To our knowledge, few studies report the consequences of MSK pain in the upper and lower extremities in the general population. In a large Dutch study, approximately half of the patients with MSK pain reported care-seeking within the last 12 months, which is higher than the proportions found in this study [
      • Picavet H.S.
      • Schouten J.S.
      Musculoskeletal pain in the Netherlands: prevalences, consequences and risk groups, the DMC(3)-study.
      ]. On the other hand, 4.0–7.5 % of the population reported work leave > 30 days compared to our findings, where 18.2–26.7 % were prevented from working > 30 days during the last 12 months. Besides being a potential obstacle to physical activity, MSK pain can negatively impact multiple aspects of patient health, including sleep, cognitive processes and brain function, mood/mental health, cardiovascular health, and overall quality of life [
      • Fine P.G.
      Long-term consequences of chronic pain: mounting evidence for pain as a neurological disease and parallels with other chronic disease states.
      ]. A patient with both diabetes and MSK pain (i.e. multimorbidity) has a greater risk of premature death, poorer function and quality of life, and increased healthcare utilisation [
      • Skou S.T.
      • Mair F.S.
      • Fortin M.
      • Guthrie B.
      • Nunes B.P.
      • Miranda J.J.
      • et al.
      Multimorbidity.
      ]. Multimorbidity requires person-centred care, but there is still limited evidence to support any approach [
      • Skou S.T.
      • Mair F.S.
      • Fortin M.
      • Guthrie B.
      • Nunes B.P.
      • Miranda J.J.
      • et al.
      Multimorbidity.
      ]. However, recent promising initiatives for the global treatment of multimorbidity have the potential to benefit patients with diabetes and MSK pain in order to improve the self-care behaviours [
      • Skou S.T.
      • Mair F.S.
      • Fortin M.
      • Guthrie B.
      • Nunes B.P.
      • Miranda J.J.
      • et al.
      Multimorbidity.
      ,
      • Krein S.L.
      • Heisler M.
      • Piette J.D.
      • Makki F.
      • Kerr E.A.
      The effect of chronic pain on diabetes patients' self-management.
      ].

      4.1 Limitations

      This study has some limitations. The response rate was 36.0 %, which is low but comparable with participation rates in surveys that have solely used e-Boks as their means of recruitment [
      • Glintborg B.
      • Jensen D.V.
      • Engel S.
      • Terslev L.
      • Pfeiffer Jensen M.
      • Hendricks O.
      • et al.
      Self-protection strategies and health behaviour in patients with inflammatory rheumatic diseases during the COVID-19 pandemic: results and predictors in more than 12 000 patients with inflammatory rheumatic diseases followed in the Danish DANBIO registry.
      ,
      • Ebert J.F.
      • Huibers L.
      • Christensen B.
      • Christensen M.B.
      Paper- or web-based questionnaire invitations as a method for data collection: cross-sectional comparative study of differences in response rate, completeness of data, and financial cost.
      ]. Since all patients were included from existing diabetes cohorts and not from the general population, we did not expect the proportion of type 1 and type 2 to represent the proportion of each type of diabetes in the general population (i.e., 85–95 % with type 2 and 5–15 % with type 1). Furthermore, a recent analysis on the same cohort [
      • Boyle E.
      • Folkestad L.
      • Frafjord E.
      • Koes B.W.
      • Skou S.T.
      • Hartvigsen J.
      The Danish diabetes musculoskeletal cohort: non-responder analysis of an electronic survey using registry data.
      ] found non-responder bias (i.e., related to age, diabetes type, comorbidity burden, and socioeconomic status), meaning that our findings may be non-representative of Danish patients with diabetes. Non-response to questions was considered as no pain, a common and accepted approach in other Danish register-based studies such as the Danish Twin registry [
      • Leboeuf-Yde C.
      • Fejer R.
      • Nielsen J.
      • Kyvik K.O.
      • Hartvigsen J.
      Consequences of spinal pain: do age and gender matter? A Danish cross-sectional population-based study of 34,902 individuals 20-71 years of age.
      ,
      • Hartvigsen J.
      • Kyvik K.O.
      • Leboeuf-Yde C.
      • Lings S.
      • Bakketeig L.
      Ambiguous relation between physical workload and low back pain: a twin control study.
      ]. However, this is an important bias that could result in an underestimation of MSK pain in the current study. Furthermore, the patients were included from two of many Danish diabetes centres. However, our findings are important to determine the prevalence and consequences of MSK conditions in a secondary care diabetes population.

      5. Conclusion

      Pain in the upper and lower extremities is common in Danish patients with type 1 and 2 diabetes, with considerable impact on daily activity, care-seeking, and work life. A larger proportion of patients with type 2 diabetes than type 1 is affected by the consequences of pain. Future studies should investigate mechanisms behind the high co-occurrence of diabetes and MSK pain in the upper and lower extremities. Clinicians should be aware that patients with both diabetes and MSK may suffer from comorbidities that could benefit from adequate clinical management.

      Funding

      Odense University Hospital free research found funded the expenses related to study administration and expenses related to Statistics Denmark. The funder was not involved in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.
      Dr Skou is currently funded by a grant from Region Zealand (Exercise First) and two grants from the European Union’s Horizon 2020 Research and Innovation Program, one from the European Research Council (MOBILIZE, grant agreement No 801790) and the other under grant agreement No 945377 (ESCAPE). All outside the submitted study.
      Dr Hartvigsen has received multiple grants for research from Danish and International Grant Agencies, including the European Union, Danish Ministry of Science and Education, Danish Regions, National Institutes of Health (USA), and from charities, including the European Center for Chiropractic Research Excellence, and the IMK Foundation. All outside the submitted study.

      Competing interest

      The authors declare no conflicts of interest related to this work.

      Acknowledgements

      We want to acknowledge Amalie Frost Stammerjohan, who was responsible for assembling the electronic questionnaire booklet and conducting the pilot study. We want to acknowledge Claus Bogh Juhl, Department of Endocrinology, Hospital of Southwest Jutland, and Jan Erik Henriksen, Steno Diabetes Center Odense, Odense University Hospital, for the data extraction through the clinical databases.

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