1
|
Salis Z. Investigation of the Associations of Smoking With Hip Osteoarthritis: A Baseline Cross-Sectional and Four- to Five-Year Longitudinal Multicohort Study. ACR Open Rheumatol 2024; 6:155-166. [PMID: 38174808 PMCID: PMC10933634 DOI: 10.1002/acr2.11644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 10/05/2023] [Accepted: 11/21/2023] [Indexed: 01/05/2024] Open
Abstract
OBJECTIVE This study aimed to investigate the effect of smoking on the prevalence, incidence, and progression of hip osteoarthritis (OA). We used data from the Osteoarthritis Initiative (OAI) and the Cohort Hip and Cohort Knee (CHECK) studies. METHODS We analyzed 9,386 hips from 4,716 participants (OAI cohort) and 1,954 hips from 977 participants (CHECK cohort). The primary exposure was smoking status at baseline, categorized as current, former, or never smoker. Outcomes of radiographic hip OA (RHOA) and symptomatic hip OA were evaluated both cross-sectionally at baseline and longitudinally over a 4- to 5-year follow-up, with adjustments for major covariates. RESULTS No significant differences were observed between current or former smokers and never smokers for any of the outcomes examined, either at baseline or at the 4- to 5-year follow-up. In the cross-sectional analysis, the odds ratios with 95% confidence intervals for the prevalence of RHOA for current and former smokers were 1.29 (0.68-2.46) and 0.99 (0.70-1.40) in the OAI cohort and 1.38 (0.78-2.44) and 0.85 (0.54-1.32) in the CHECK cohort, respectively. In the longitudinal analysis, odds ratio with 95% confidence intervals for the incidence of RHOA were 1.03 (0.23-4.50) and 0.92 (0.46-1.85) in the OAI cohort and 0.61 (0.34-1.11) and 1.00 (0.69-1.44) in the CHECK cohort, respectively. CONCLUSION Our study found no clear association between smoking and the prevalence, incidence, or progression of RHOA or symptomatic hip OA, either at baseline or over a 4- to 5-year period.
Collapse
Affiliation(s)
- Zubeyir Salis
- Geneva University Hospital and University of Geneva, Geneva, Switzerland, University of New South Wales, Kensington, New South Wales, Australia, and The University of Western AustraliaPerthWestern AustraliaAustralia
| |
Collapse
|
2
|
Schlueter DJ, Sulieman L, Mo H, Keaton JM, Ferrara TM, Williams A, Qian J, Stubblefield O, Zeng C, Tran TC, Bastarache L, Dai J, Babbar A, Ramirez A, Goleva SB, Denny JC. Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program. J Am Med Inform Assoc 2023; 31:139-153. [PMID: 37885303 PMCID: PMC10746325 DOI: 10.1093/jamia/ocad205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 05/04/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023] Open
Abstract
OBJECTIVE The All of Us Research Program (All of Us) aims to recruit over a million participants to further precision medicine. Essential to the verification of biobanks is a replication of known associations to establish validity. Here, we evaluated how well All of Us data replicated known cigarette smoking associations. MATERIALS AND METHODS We defined smoking exposure as follows: (1) an EHR Smoking exposure that used International Classification of Disease codes; (2) participant provided information (PPI) Ever Smoking; and, (3) PPI Current Smoking, both from the lifestyle survey. We performed a phenome-wide association study (PheWAS) for each smoking exposure measurement type. For each, we compared the effect sizes derived from the PheWAS to published meta-analyses that studied cigarette smoking from PubMed. We defined two levels of replication of meta-analyses: (1) nominally replicated: which required agreement of direction of effect size, and (2) fully replicated: which required overlap of confidence intervals. RESULTS PheWASes with EHR Smoking, PPI Ever Smoking, and PPI Current Smoking revealed 736, 492, and 639 phenome-wide significant associations, respectively. We identified 165 meta-analyses representing 99 distinct phenotypes that could be matched to EHR phenotypes. At P < .05, 74 were nominally replicated and 55 were fully replicated. At P < 2.68 × 10-5 (Bonferroni threshold), 58 were nominally replicated and 40 were fully replicated. DISCUSSION Most phenotypes found in published meta-analyses associated with smoking were nominally replicated in All of Us. Both survey and EHR definitions for smoking produced similar results. CONCLUSION This study demonstrated the feasibility of studying common exposures using All of Us data.
Collapse
Affiliation(s)
- David J Schlueter
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- Department of Health and Society, University of Toronto, Scarborough, Toronto, ON, Canada
| | - Lina Sulieman
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Huan Mo
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- The Cohort Analytics Core (CAC), Center for Precision Health Research, National Human Genome Research Institute, Bethesda, MD, USA
| | - Jacob M Keaton
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Tracey M Ferrara
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Ariel Williams
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Jun Qian
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Onajia Stubblefield
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Chenjie Zeng
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Tam C Tran
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- The Cohort Analytics Core (CAC), Center for Precision Health Research, National Human Genome Research Institute, Bethesda, MD, USA
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jian Dai
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Anav Babbar
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Andrea Ramirez
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Slavina B Goleva
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Joshua C Denny
- Precision Health Informatics Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| |
Collapse
|
3
|
Wieczorek M, Gwinnutt JM, Ransay-Colle M, Balanescu A, Bischoff-Ferrari H, Boonen A, Cavalli G, de Souza S, de Thurah A, Dorner TE, Moe RH, Putrik P, Rodríguez-Carrio J, Silva-Fernández L, Stamm TA, Walker-Bone K, Welling J, Zlatkovic-Svenda M, Verstappen SMM, Guillemin F. Smoking, alcohol consumption and disease-specific outcomes in rheumatic and musculoskeletal diseases (RMDs): systematic reviews informing the 2021 EULAR recommendations for lifestyle improvements in people with RMDs. RMD Open 2022; 8:rmdopen-2021-002170. [PMID: 35351808 PMCID: PMC8966569 DOI: 10.1136/rmdopen-2021-002170] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 03/07/2022] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND A EULAR taskforce was convened to develop recommendations for lifestyle behaviours in rheumatic and musculoskeletal diseases (RMDs). The aim of this paper was to review the literature on the relationship between smoking and alcohol consumption with regard to RMD-specific outcomes. METHODS Two systematic reviews were conducted to identify systematic reviews and meta-analyses, published between 2013 and 2018, related to smoking and alcohol consumption in seven RMDs: osteoarthritis (OA), rheumatoid arthritis (RA), systemic lupus erythematosus, axial spondyloarthritis (axSpA), psoriatic arthritis (PsA), systemic sclerosis (SSc) and gout. Two additional systematic reviews were performed to identify original longitudinal studies on smoking and alcohol consumption and disease-specific outcomes. RESULTS Nine reviews and 65 original studies on smoking as well as two reviews and 14 original studies on alcohol consumption met the inclusion criteria. While most studies were moderate/poor quality, smoking was significantly associated with poorer outcomes: cardiovascular comorbidity; poorer response to RA treatment; higher disease activity and severity in early RA; axSpA radiographic progression. Results were heterogeneous for OA while there was limited evidence for PsA, SSc and gout. Available studies on alcohol mainly focused on RA, reporting a positive association between alcohol intake and radiographic progression. Five studies assessed alcohol consumption in gout, reporting a significant association between the number and type of alcoholic beverages and the occurrence of flares. CONCLUSION Current literature supports that smoking has a negative impact on several RMD-specific outcomes and that moderate or high alcohol consumption is associated with increased risk of flares in RA and gout.
Collapse
Affiliation(s)
- Maud Wieczorek
- Centre on Aging and Mobility, University Hospital Zurich, Zurich City Hospital - Waid and University of Zurich, Zurich, Switzerland,EA4360 Apemac, University of Lorraine, Vandoeuvre-lès-Nancy, France
| | - James Martin Gwinnutt
- Centre for Epidemiology Versus Arthritis, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | | | - Andra Balanescu
- Department of Internal Medicine and Rheumatology, "Sf. Maria" Hospital, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | - Heike Bischoff-Ferrari
- Centre on Aging and Mobility, University Hospital Zurich, Zurich City Hospital - Waid and University of Zurich, Zurich, Switzerland,Department of Aging Medicine and Aging Research, University Hospital Zurich and University of Zurich, Zurich, Switzerland,University Clinic for Aging Medicine, City Hospital Zurich - Waid, Zurich, Switzerland
| | - Annelies Boonen
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center, Maastricht, The Netherlands,Care and Public Health Research Institute (CAPHRI), Maastricht Univeristy, Maastricht, The Netherlands
| | - Giulio Cavalli
- Unit of Immunology, Rheumatology, Allergy and Rare Diseases, IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy
| | - Savia de Souza
- Centre for Rheumatic Diseases, King's College London, London, UK
| | - Annette de Thurah
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark,Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
| | - Thomas Ernst Dorner
- Centre for Public Health, Department of Social and Preventive Medicine, Medical University of Vienna, Vienna, Austria,Social Insurance Fund for Public Service, Railway and Mining Industries, Sitzenberg-Reidling, Austria,Karl-Landsteiner Institute for Health Promotion Research, Sitzenberg-Reidling, Austria
| | - Rikke Helene Moe
- National Advisory Unit for Rehabilitation in Rheumatology, Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Polina Putrik
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center, Maastricht, The Netherlands,Care and Public Health Research Institute (CAPHRI), Maastricht Univeristy, Maastricht, The Netherlands
| | - Javier Rodríguez-Carrio
- Area of Immunology, Department of Functional Biology, Universidad de Oviedo, Oviedo, Spain,Department of Metabolism, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Lucía Silva-Fernández
- Rheumatology Department, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Tanja A Stamm
- Section for Outcomes Research, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria,Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Vienna, Austria
| | - Karen Walker-Bone
- MRC Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton, UK
| | - Joep Welling
- NVLE Dutch Patient Organization for Systemic Autoimmune Diseases, Utrecht, The Netherlands
| | - Mirjana Zlatkovic-Svenda
- Institute of Rheumatology, University of Belgrade School of Medicine, Belgrade, Serbia,Department of Internal Medicine, University of East Sarajevo Faculty of Medicine Foča, Republika Srpska, Bosnia and Herzegovina
| | - Suzanne MM Verstappen
- Centre for Epidemiology Versus Arthritis, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK,MRC Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton, UK,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Francis Guillemin
- EA4360 Apemac, University of Lorraine, Vandoeuvre-lès-Nancy, France,CIC-1433 Epidemiologie Clinique, Inserm, CHRU Nancy, University of Lorraine, Nancy, France
| |
Collapse
|
4
|
Lauwers M, Courties A, Sellam J, Wen C. The cholinergic system in joint health and osteoarthritis: a narrative-review. Osteoarthritis Cartilage 2021; 29:643-653. [PMID: 33609692 DOI: 10.1016/j.joca.2021.02.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/14/2021] [Accepted: 02/02/2021] [Indexed: 02/02/2023]
Abstract
Osteoarthritis (OA) poses a major health and economic burden worldwide due to an increasing number of patients and the unavailability of disease-modifying drugs. In this review, the latest understanding of the involvement of the cholinergic system in joint homeostasis and OA will be outlined. First of all, the current evidence on the presence of the cholinergic system in the normal and OA joint will be described. Cholinergic innervation as well as the non-neuronal cholinergic system are detected. In a variety of inflammatory diseases, the classic cholinergic anti-inflammatory pathway lately received a lot of attention as via this pathway cholinergic agonists can reduce inflammation. The role of this cholinergic anti-inflammatory pathway in the context of OA will be discussed. Activation of this pathway improved the progression of the disease. Secondly, chondrocyte hypertrophy plays a pivotal role in osteophyte formation and OA development; the impact of the cholinergic system on hypertrophic chondroblasts and endochondral ossification will be evaluated. Cholinergic stimulation increased chondrocyte proliferation, delayed chondrocyte differentiation and caused early mineralisation. Moreover, acetylcholinesterase and butyrylcholinesterase affect the endochondral ossification via an acetylcholine-independent pathway. Thirdly, subchondral bone is critical for cartilage homeostasis and metabolism; the cholinergic system in subchondral bone homeostasis and disorders will be explored. An increase in osteoblast proliferation and osteoclast apoptosis is observed. Lastly, current therapeutic strategies for OA are limited to symptom relief; here the impact of smoking on disease progression and the potential of acetylcholinesterase inhibitors as candidate disease-modifying drug for OA will be discussed.
Collapse
Affiliation(s)
- M Lauwers
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
| | - A Courties
- Department of Rheumatology, Assistance Publique - Hôpitaux de Paris (AP-HP), Inserm UMRS_938, Sorbonne Université, Saint-Antoine Hospital, Paris, France.
| | - J Sellam
- Department of Rheumatology, Assistance Publique - Hôpitaux de Paris (AP-HP), Inserm UMRS_938, Sorbonne Université, Saint-Antoine Hospital, Paris, France.
| | - C Wen
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
| |
Collapse
|
5
|
Zeng C, Nguyen USDT, Wu J, Wei J, Luo X, Hu S, Lu N, Lei G, Zhang Y. Does smoking cessation increase risk of knee replacement? a general population-based cohort study. Osteoarthritis Cartilage 2021; 29:697-706. [PMID: 33621706 DOI: 10.1016/j.joca.2021.02.382] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 02/03/2021] [Accepted: 02/07/2021] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Smoking represents a major issue for global public health. Owing to methodologic challenges, findings of an association between smoking and risk of knee osteoarthritis (OA) are inconsistent. We sought to assess the relation of onset of smoking cessation to the risk of OA sequelae, i.e., knee replacement, and to perform sub-cohort analysis according to weight change after smoking cessation. DESIGN Using The Health Improvement Network, we conducted a cohort study to examine the association between smoking cessation and risk of knee replacement among patients with knee OA. Participants who stopped smoking were further grouped into three sub-cohorts: weight gain (body mass index [BMI] increased>1.14 kg/m2), no substantial weight change (absolute value of BMI change<1.14 kg/m2), and weight loss (BMI loss>1.14 kg/m2) after smoking cessation. RESULTS We identified 108 cases of knee replacement among 1,054 recent quitters (26.7/1,000 person-years) and 1,108 cases among 15,765 current smokers (17.4/1,000 person-years). The rate difference of knee replacement in recent quitter cohort vs current smoker cohort was 10.4 (95% confidence interval [CI]:5.3-15.6)/1,000 person-years and the adjusted hazard ratio (HR) was 1.30 (95%CI:1.05-1.59). Compared with current smokers, risk of knee replacement was higher among quitters with weight gain (HR = 1.42,95%CI:1.01-1.98), but not among those with no substantial weight change (HR = 1.29,95%CI:0.90-1.83) or those with weight loss (HR = 1.11,95%CI:0.71-1.75). CONCLUSIONS Our large population-based cohort study provides the first evidence that smoking cessation was associated with a higher risk of knee replacement among individuals with knee OA, and such an association was due to weight gain after smoking cessation.
Collapse
Affiliation(s)
- C Zeng
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China; Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA; The Mongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - U-S D T Nguyen
- Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, School of Public Health, Texas, USA.
| | - J Wu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China; Hunan Key Laboratory of Joint Degeneration and Injury, Xiangya Hospital, Central South University, Changsha, China.
| | - J Wei
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA; The Mongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Health Management Center, Xiangya Hospital, Central South University, Changsha, China.
| | - X Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
| | - S Hu
- National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China; Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, China.
| | - N Lu
- Arthritis Research Canada, Richmond, Canada.
| | - G Lei
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China; Hunan Key Laboratory of Joint Degeneration and Injury, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
| | - Y Zhang
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA; The Mongan Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
6
|
Roux CH, Coste J, Roger C, Fontas E, Rat AC, Guillemin F. Impact of smoking on femorotibial and hip osteoarthritis progression: 3-year follow-up data from the KHOALA cohort. Joint Bone Spine 2020; 88:105077. [PMID: 32950705 DOI: 10.1016/j.jbspin.2020.09.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 09/08/2020] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To evaluate the clinical and structural impact of smoking on knee and hip osteoarthritis at baseline and after 3years. METHODS Observational data on the progressive effects of smoking at baseline and after 3years were collected from The Knee and Hip Osteoarthritis Long-Term Assessment cohort comprising a French population of patients aged 40-75years with symptomatic lower limb osteoarthritis. Clinical (the Western Ontario and McMaster Universities Arthritis Index and Harris scores) and structural (radiography for osteophyte detection and joint-space narrowing assessment) were conducted. The tobacco usage categories were 'never smoker', 'former smoker', and 'current smoker'. RESULTS Of the 873 subjects included, 215 (25%) were former smokers and 119 (14%) were current smokers. Multivariate analyses revealed that former and current smokers had fewer knee osteophytes in the medial compartment at baseline (odds ratio [OR]=0.64 [0.41-0.99] and 0.63 [0.36-1.11], respectively), lower osteophyte development in the lateral condyle after 3years (OR=011 [0.03-0.45] and 0.15 [0.03-0.97]), and lower osteophyte development in the lateral tibial plateau after 3years (OR=0.22 [0.06-0.75] and 0.68 [0.14-3.35]). Higher tobacco consumption and longer duration of consumption were significantly associated with fewer knee osteophytes at baseline and lower osteophyte development at 3years. CONCLUSION Although cigarette smoking did not influence knee function, pain, or the need for replacement surgery, current and former smokers developed fewer osteophytes. This relationship may be linked to the quantity and duration of consumption. Our results provide further insight into the smoking-related pathophysiology of osteoarthritis.
Collapse
Affiliation(s)
- Christian Hubert Roux
- Rheumatology Department, University Nice Sophia Antipolis, LAMHESS, EA 6312, CHU Nice, Nice, France.
| | - Joël Coste
- Biostatistics and Epidemiology Unit, Assistance Publique-Hôpitaux de Paris, Hôtel Dieu, Paris, France
| | - Coralie Roger
- Department of Clinical Research and Innovation, University Hospital of Nice, Nice, France
| | - Eric Fontas
- Department of Clinical Research and Innovation, University Hospital of Nice, Nice, France
| | - Anne-Christine Rat
- CIC 1433 Clinical Epidemiology, Inserm, CHRU University of Lorraine, Nancy, France
| | - Francis Guillemin
- CIC 1433 Clinical Epidemiology, Inserm, CHRU University of Lorraine, Nancy, France
| |
Collapse
|
7
|
Yamamoto SS, Yacyshyn E, Jhangri GS, Chopra A, Parmar D, Jones CA. Household air pollution and arthritis in low-and middle-income countries: Cross-sectional evidence from the World Health Organization's study on Global Ageing and Adult Health. PLoS One 2019; 14:e0226738. [PMID: 31881058 PMCID: PMC6934325 DOI: 10.1371/journal.pone.0226738] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 12/06/2019] [Indexed: 02/07/2023] Open
Abstract
Background Evidence points to a clear link between air pollution exposure and several chronic diseases though investigations regarding arthritis are still lacking. Emerging evidence suggests an association between ambient air pollution and rheumatoid arthritis. Household air pollution exposure, conversely, is largely unstudied but may be an important consideration for arthritis, particularly in low- and middle-income countries (LMICs), where cooking and heating activities can generate high indoor air pollutant levels. Methods We investigated the association of household air pollution (electricity vs. gas; kerosene/paraffin; coal/charcoal; wood; or agriculture/crop/animal dung/shrubs/grass as the main fuel used for cooking) and arthritis in six LMICs (China, Ghana, India, Mexico, the Russian Federation, South Africa) using data from Wave I of the World Health Organization Study on Global AGEing and Adult Health (SAGE) (2007–2010). Multivariable analyses were adjusted for sociodemographic, household and lifestyle characteristics and several comorbidities. Results The use of gas (aOR = 1.76, 95%CI: 1.40–2.21); coal (aOR = 1.74, 95%CI: 1.22–2.47); wood (aOR = 1.69, 95%CI: 1.30–2.19); or agriculture/crop/animal dung/shrubs/grass: aOR = 1.95 (1.46–2.61) fuels for cooking were strongly associated with an increased odds of arthritis, compared to electricity in cluster and stratified adjusted analyses. Gender (female), age (≥50 years), overweight (25.0 ≤BMI<30.0 kg/m2), obesity (BMI ≥30.0 kg/m2), former and current alcohol consumption, and the comorbidities angina pectoris, diabetes, chronic lung disease, depression and hypertension were also associated with a higher odds of arthritis. Underweight (BMI<18.5 kg/m2) and higher education levels (college/university completed/post-graduate studies) were associated with a lower odds of arthritis. Conclusions These findings suggest that exposure to household air pollution from cook fuels is associated with an increased odds of arthritis in these regions, which warrants further investigation.
Collapse
Affiliation(s)
- Shelby S. Yamamoto
- School of Public Health, University of Alberta, Edmonton, Canada
- * E-mail:
| | - Elaine Yacyshyn
- Division of Rheumatology, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
| | - Gian S. Jhangri
- School of Public Health, University of Alberta, Edmonton, Canada
| | | | - Divya Parmar
- School of Health Sciences, City, University of London, London, England, United Kingdom
| | - C. Allyson Jones
- Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada
| |
Collapse
|
8
|
Park JH, Hong JY, Han K, Han SW, Chun EM. Relationship between hormone replacement therapy and spinal osteoarthritis: a nationwide health survey analysis of the elderly Korean population. BMJ Open 2017; 7:e018063. [PMID: 29127229 PMCID: PMC5695470 DOI: 10.1136/bmjopen-2017-018063] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES To identify the effects of hormone replacement therapy (HRT) on spinal osteoarthritis (OA). METHODS AND DESIGN A cross-sectional study of a nationwide survey was performed. SETTING This study collected data from the fifth Korean National Health and Nutrition Examination Survey (2010-2012). PARTICIPANTS After excluding ineligible respondents, the total number of participants in this study was 4265 females. Participants were asked to report symptoms and disabilities related to spinal OA. In addition, plain radiographs of the spine were taken of all patients. PRIMARY AND SECONDARY OUTCOME MEASURES Demographic and lifestyle variables were compared between the HRT and non-HRT groups. In addition, radiographic examination and symptom assessment were performed to determine the existence of spinal OA. RESULTS Marital status, education, income and HRT were correlated with spinal OA. A risk analysis of related factors showed that HRT and age had effects on spinal OA (ORs 0.717 and 1.257). Nevertheless, in the HRT group, smokers had a increased risk of spinal OA. In addition, the HRT group demonstrated a lower prevalence of spinal OA. The calculated risk for compromised morbidity with HRT compared with the prevalence of spinal OA was 0.717 (OR). The duration of HRT was also related to the risk for spinal OA. The group that had been taking HRT for more than 1 year showed decreased risk (OR 0.686) compared with patients with <1 year of HRT (OR 0.744; P<0.05). CONCLUSION Women receiving HRT showed a lower prevalence of spinal OA. HRT also correlated with a decrease in spinal OA morbidity.
Collapse
Affiliation(s)
- Jung-Ho Park
- Department of Orthopedics, Korea University Ansan Hospital, Seoul, Republic of Korea
| | - Jae-Young Hong
- Department of Orthopedics, Korea University Ansan Hospital, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Biostatistics, College of Medicine, Catholic University, Seoul, Republic of Korea
| | - Seung-Woo Han
- Department of Orthopedics, Korea University Ansan Hospital, Seoul, Republic of Korea
| | - Eun Mi Chun
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ewha Woman’s University Mokdong Hospital, Seoul, Republic of Korea
| |
Collapse
|
9
|
Deleuran T, Vilstrup H, Overgaard S, Jepsen P. No Increased Risk for Primary Osteoarthritis in Liver Cirrhosis - A Danish Nationwide Cohort Study. PLoS One 2016; 11:e0167134. [PMID: 27898694 PMCID: PMC5127570 DOI: 10.1371/journal.pone.0167134] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 11/09/2016] [Indexed: 12/18/2022] Open
Abstract
Objective Chronic synovial inflammation causes primary osteoarthritis, but it is unknown whether chronic systemic inflammation does, too. Patients with cirrhosis have chronic systemic inflammation and therefore we examined the association between cirrhosis and primary osteoarthritis of the hip and knee. Methods In Danish healthcare databases we identified all residents over 60 years diagnosed with cirrhosis in 1994–2011, and for each of them we sampled five age- and gender-matched reference persons from the general population. We excluded everyone with risk factors for secondary osteoarthritis and computed incidence rates of primary osteoarthritis of the hip or knee. We used stratified Cox regression to estimate the hazard ratios of primary osteoarthritis for cirrhosis patients vs. reference persons in strata defined by gender, age, cirrhosis etiology, and ascites vs. no ascites. We also computed separate HRs for primary osteoarthritis of the hips or knees. Results We identified 10,049 cirrhosis patients. Their median age was 67 years, and 65% were men. Among the cirrhosis patients the crude incidence rate of primary osteoarthritis was 8.40 (95% CI: 7.30–9.63) per 1000 person-years. The rate was similar in the reference persons: 8.76 (95% CI: 8.43–9.12) per 1000 person-years. Accordingly, the hazard ratio for primary osteoarthritis for cirrhosis patients vs. reference persons was 0.99 (95% CI: 0.85–1.16), and we found the same null association in all patient strata and in both joints. Conclusion Cirrhosis, and thus chronic systemic inflammation, is not a risk factor for primary osteoarthritis.
Collapse
Affiliation(s)
- Thomas Deleuran
- Department of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
- * E-mail:
| | - Hendrik Vilstrup
- Department of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark
| | - Søren Overgaard
- Department of Orthopedic Surgery and Traumatology, Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, Denmark
| | - Peter Jepsen
- Department of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| |
Collapse
|
10
|
Kingsbury SR, Corp N, Watt FE, Felson DT, O'Neill TW, Holt CA, Jones RK, Conaghan PG, Arden NK. Harmonising data collection from osteoarthritis studies to enable stratification: recommendations on core data collection from an Arthritis Research UK clinical studies group. Rheumatology (Oxford) 2016; 55:1394-402. [PMID: 27084310 PMCID: PMC4957675 DOI: 10.1093/rheumatology/kew201] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Indexed: 11/13/2022] Open
Abstract
Objective. Treatment of OA by stratifying for commonly used and novel therapies will likely improve the range of effective therapy options and their rational deployment in this undertreated, chronic disease. In order to develop appropriate datasets for conducting post hoc analyses to inform approaches to stratification for OA, our aim was to develop recommendations on the minimum data that should be recorded at baseline in all future OA interventional and observational studies. Methods. An Arthritis Research UK study group comprised of 32 experts used a Delphi-style approach supported by a literature review of systematic reviews to come to a consensus on core data collection for OA studies. Results. Thirty-five systematic reviews were used as the basis for the consensus group discussion. For studies with a primary structural endpoint, core domains for collection were defined as BMI, age, gender, racial origin, comorbidities, baseline OA pain, pain in other joints and occupation. In addition to the items generalizable to all anatomical sites, joint-specific domains included radiographic measures, surgical history and anatomical factors, including alignment. To demonstrate clinical relevance for symptom studies, the collection of mental health score, self-efficacy and depression scales were advised in addition to the above. Conclusions. Currently it is not possible to stratify patients with OA into therapeutic groups. A list of core and optional data to be collected in all OA interventional and observational studies was developed, providing a basis for future analyses to identify predictors of progression or response to treatment.
Collapse
Affiliation(s)
- Sarah R Kingsbury
- Institute of Rheumatic and Musculoskeletal Medicine and NIHR Leeds Musculoskeletal Biomedical Research Unit, University of Leeds, Leeds
| | - Nadia Corp
- Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele
| | - Fiona E Watt
- Arthritis Research UK Centre for Osteoarthritis Pathogenesis, Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford
| | - David T Felson
- Arthritis Research UK Epidemiology Unit, University of Manchester, Manchester, UK Clinical Epidemiology Unit, Boston University School of Medicine, Boston, MA, USA
| | - Terence W O'Neill
- Arthritis Research UK Epidemiology Unit, University of Manchester, Manchester, UK
| | - Cathy A Holt
- School of Engineering, Cardiff University, Wales
| | - Richard K Jones
- School of Health Sciences, University of Salford, Manchester
| | - Philip G Conaghan
- Institute of Rheumatic and Musculoskeletal Medicine and NIHR Leeds Musculoskeletal Biomedical Research Unit, University of Leeds, Leeds
| | | | - Nigel K Arden
- Arthritis Research UK Centre for Sport, Exercise and Osteoarthritis, University of Oxford MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| |
Collapse
|
11
|
Zhang Y, Zeng C, Wei J, Li H, Yang T, Yang Y, Deng ZH, Ding X, Lei G. Associations of cigarette smoking, betel quid chewing and alcohol consumption with high-sensitivity C-reactive protein in early radiographic knee osteoarthritis: a cross-sectional study. BMJ Open 2016; 6:e010763. [PMID: 26969644 PMCID: PMC4800118 DOI: 10.1136/bmjopen-2015-010763] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES High-sensitivity C-reactive protein (hsCRP) is possibly related to osteoarthritis (OA) progression and a variety of OA-related symptoms. This study aimed to examine associations between cigarette smoking, betel quid chewing and alcohol consumption and hsCRP in early radiographic knee OA. DESIGN Cross-sectional health examination survey. SETTING This primary study was conducted in a health examination centre in China. PARTICIPANTS 936 (656 men and 280 women) patients with early radiographic knee OA were included in this cross-sectional study. PRIMARY AND SECONDARY OUTCOME MEASURES Smoking status was classified into four levels based on daily smoking habit: 0/day, 1-10/day, 11-20/day and >20/day. Betel quid chewing and alcohol consumption status was divided into 'Yes' or 'No'. Early radiographic knee OA was defined as Kellgren Lawrence (K-L) grade 1 or 2 in at least one leg, and elevated hsCRP was assessed as ≥ 3.0 mg/L. RESULTS After adjustment for a number of potential confounding factors, a significant positive association between cigarette smoking and hsCRP was observed in the multivariable model. The multivariable-adjusted ORs (95% CI) of elevated hsCRP (≥ 3.0 mg/L) in the second (1-10/day, n=133), third (11-20/day, n=59) and highest (>20/day, n=104) cigarette smoking categories were 1.54 (95% CI 0.91 to 2.61), 1.27 (95% CI 0.57 to 2.79) and 2.09 (95% CI 1.20 to 3.64), respectively, compared with the non-smoker category (n=640). In addition, there was a positive dose-response relationship between cigarette smoking and elevated hsCRP (p for trend=0.01). No significant associations between betel quid chewing and alcohol consumption and hsCRP were observed in the multivariable model. CONCLUSIONS This study indicated that cigarette smoking was positively associated with serum hsCRP level in patients with early radiographic knee OA. However, in view of the nature of cross-sectional designs, the results need to be confirmed by further prospective studies.
Collapse
Affiliation(s)
- Yi Zhang
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Chao Zeng
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Jie Wei
- Health Management Center, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- Department of Epidemiology and Health Statistics, School of Public Health, Central South University, Changsha, Hunan Province, China
| | - Hui Li
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Tuo Yang
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Ye Yang
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Zhen-han Deng
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Xiang Ding
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Guanghua Lei
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| |
Collapse
|
12
|
Socio-economic status and the risk of developing hand, hip or knee osteoarthritis: a region-wide ecological study. Osteoarthritis Cartilage 2015; 23:1323-9. [PMID: 25819582 DOI: 10.1016/j.joca.2015.03.020] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Revised: 02/25/2015] [Accepted: 03/15/2015] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine the association between socio-economic status (SES) and risk of hand, hip or knee osteoarthritis (OA) at a population level. DESIGN Retrospective ecological study using the System for the Development of Research in Primary Care (SIDIAP) database (primary care anonymized records for >5 million people in Catalonia (Spain)). Urban residents >15 years old (2009-2012) were eligible. OUTCOMES Validated area-based SES deprivation index MEDEA (proportion of unemployed, temporary workers, manual workers, low educational attainment and low educational attainment among youngsters) was estimated for each area based on census data as well as incident diagnoses (ICD-10 codes) of hand, hip or knee OA (2009-2012). Zero-inflated Poisson models were fitted to study the association between MEDEA quintiles and the outcomes. RESULTS Compared to the least deprived, the most deprived areas were younger (43.29 (17.59) vs 46.83 (18.49), years (Mean SD), had fewer women (49.1% vs 54.8%), a higher percentage of obese (16.2% vs 8.4%), smokers (16.9% vs 11.9%) and high-risk alcohol consumption subjects (1.5% vs 1.3%). Compared to the least deprived, the most deprived areas had an excess risk of OA: age-sex-adjusted Incidence Rate Ratio (IRR) 1.26 (1.11-1.42) for hand, 1.23 (1.17-1.29) hip, and 1.51 (1.45-1.57) knee. Adjustment for obesity attenuated this association: 1.06 (0.93-1.20), 1.04 (0.99-1.09), and 1.23 (1.19-1.28) respectively. CONCLUSIONS Deprived areas have higher rates OA (hand, hip, knee). Their increased prevalence of obesity accounts for a 50% of the excess risk of knee OA observed. Public health interventions to reduce the prevalence of obesity in this population could reduce health inequalities.
Collapse
|
13
|
Wesseling J, Bastick AN, ten Wolde S, Kloppenburg M, Lafeber FPJG, Bierma-Zeinstra SMA, Bijlsma JWJ. Identifying Trajectories of Pain Severity in Early Symptomatic Knee Osteoarthritis: A 5-year Followup of the Cohort Hip and Cohort Knee (CHECK) Study. J Rheumatol 2015; 42:1470-7. [PMID: 26136492 DOI: 10.3899/jrheum.141036] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/30/2015] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To identify subgroups of pain trajectories in patients with symptomatic knee osteoarthritis (OA), and to explain these different trajectories by patient characteristics, lifestyle, and coping factors, as well as radiographic features. METHODS Longitudinal data of pain severity (0-10) from 5 years of followup of the CHECK (Cohort Hip and Cohort Knee) study was used. Latent class growth analysis identified homogeneous subgroups with distinct trajectories of pain. Multinomial regression analysis was used to examine different lifestyle and coping characteristics between the trajectories. RESULTS In longitudinal pain data of 5 years of followup in 705 participants, 3 pain trajectories were identified: marginal, mild, and moderate pain trajectories. Compared with the marginal pain trajectory, the mild and moderate pain trajectories can be characterized by the following baseline variables: body mass index (BMI) > 25, additional hip pain, low education level, using the coping strategy "worrying," and having ≥ 3 comorbidities. Moderate pain trajectory can be supplemented with the Kellgren-Lawrence grading scale grade ≥ 2 radiological change. CONCLUSION Three trajectories of pain were identified. Participants with a BMI > 25, secondary school as highest education level, having at least 3 comorbidities, additional hip pain, and/or whose coping style is worrying are more likely to develop a moderate or mild pain trajectory compared with those without these characteristics. In the management of knee pain in people with early symptomatic OA, attention should also be given to additional factors such as hip pain, other comorbidities, passive coping strategy, and obesity.
Collapse
Affiliation(s)
- Janet Wesseling
- From Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht; Department of General Practice, Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam, Rotterdam; Department of Rheumatology, Kennemer Gasthuis Haarlem, Haarlem; Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands.J. Wesseling, PhD, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; A.N. Bastick, MD, Department of General Practice, Erasmus MC: University Medical Center Rotterdam; S. ten Wolde, MD, PhD, Department of Rheumatology, Kennemer Gasthuis Haarlem; M. Kloppenburg, MD, PhD, Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre; F.P. Lafeber, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; S.M. Bierma-Zeinstra, PhD, Professor, Department of General Practice, and Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam; J.W. Bijlsma, MD, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht.
| | - Alex N Bastick
- From Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht; Department of General Practice, Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam, Rotterdam; Department of Rheumatology, Kennemer Gasthuis Haarlem, Haarlem; Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands.J. Wesseling, PhD, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; A.N. Bastick, MD, Department of General Practice, Erasmus MC: University Medical Center Rotterdam; S. ten Wolde, MD, PhD, Department of Rheumatology, Kennemer Gasthuis Haarlem; M. Kloppenburg, MD, PhD, Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre; F.P. Lafeber, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; S.M. Bierma-Zeinstra, PhD, Professor, Department of General Practice, and Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam; J.W. Bijlsma, MD, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht
| | - Saskia ten Wolde
- From Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht; Department of General Practice, Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam, Rotterdam; Department of Rheumatology, Kennemer Gasthuis Haarlem, Haarlem; Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands.J. Wesseling, PhD, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; A.N. Bastick, MD, Department of General Practice, Erasmus MC: University Medical Center Rotterdam; S. ten Wolde, MD, PhD, Department of Rheumatology, Kennemer Gasthuis Haarlem; M. Kloppenburg, MD, PhD, Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre; F.P. Lafeber, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; S.M. Bierma-Zeinstra, PhD, Professor, Department of General Practice, and Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam; J.W. Bijlsma, MD, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht
| | - Margreet Kloppenburg
- From Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht; Department of General Practice, Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam, Rotterdam; Department of Rheumatology, Kennemer Gasthuis Haarlem, Haarlem; Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands.J. Wesseling, PhD, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; A.N. Bastick, MD, Department of General Practice, Erasmus MC: University Medical Center Rotterdam; S. ten Wolde, MD, PhD, Department of Rheumatology, Kennemer Gasthuis Haarlem; M. Kloppenburg, MD, PhD, Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre; F.P. Lafeber, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; S.M. Bierma-Zeinstra, PhD, Professor, Department of General Practice, and Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam; J.W. Bijlsma, MD, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht
| | - Floris P J G Lafeber
- From Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht; Department of General Practice, Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam, Rotterdam; Department of Rheumatology, Kennemer Gasthuis Haarlem, Haarlem; Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands.J. Wesseling, PhD, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; A.N. Bastick, MD, Department of General Practice, Erasmus MC: University Medical Center Rotterdam; S. ten Wolde, MD, PhD, Department of Rheumatology, Kennemer Gasthuis Haarlem; M. Kloppenburg, MD, PhD, Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre; F.P. Lafeber, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; S.M. Bierma-Zeinstra, PhD, Professor, Department of General Practice, and Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam; J.W. Bijlsma, MD, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht
| | - Sita M A Bierma-Zeinstra
- From Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht; Department of General Practice, Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam, Rotterdam; Department of Rheumatology, Kennemer Gasthuis Haarlem, Haarlem; Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands.J. Wesseling, PhD, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; A.N. Bastick, MD, Department of General Practice, Erasmus MC: University Medical Center Rotterdam; S. ten Wolde, MD, PhD, Department of Rheumatology, Kennemer Gasthuis Haarlem; M. Kloppenburg, MD, PhD, Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre; F.P. Lafeber, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; S.M. Bierma-Zeinstra, PhD, Professor, Department of General Practice, and Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam; J.W. Bijlsma, MD, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht
| | - Johannes W J Bijlsma
- From Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht, Utrecht; Department of General Practice, Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam, Rotterdam; Department of Rheumatology, Kennemer Gasthuis Haarlem, Haarlem; Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands.J. Wesseling, PhD, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; A.N. Bastick, MD, Department of General Practice, Erasmus MC: University Medical Center Rotterdam; S. ten Wolde, MD, PhD, Department of Rheumatology, Kennemer Gasthuis Haarlem; M. Kloppenburg, MD, PhD, Department of Rheumatology and Department of Clinical Epidemiology, Leiden University Medical Centre; F.P. Lafeber, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht; S.M. Bierma-Zeinstra, PhD, Professor, Department of General Practice, and Department of Orthopedics, Erasmus MC: University Medical Center Rotterdam; J.W. Bijlsma, MD, PhD, Professor, Department of Rheumatology and Clinical Immunology, University Medical Center Utrecht
| |
Collapse
|
14
|
Muthuri SG, Zhang W, Maciewicz RA, Muir K, Doherty M. Beer and wine consumption and risk of knee or hip osteoarthritis: a case control study. Arthritis Res Ther 2015; 17:23. [PMID: 25652201 PMCID: PMC4355424 DOI: 10.1186/s13075-015-0534-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 01/21/2015] [Indexed: 12/15/2022] Open
Abstract
Introduction The aim of this study was to investigate the association between alcoholic and non-alcoholic beverages and knee or hip osteoarthritis (OA). Methods We conducted a case–control study of Caucasian men and women aged 45 to 86 years of age from Nottingham, UK. Cases had clinically severe symptoms and radiographic knee or hip OA; controls had no symptoms and no radiographic knee or hip OA. Exposure information was sought using interview-based questionnaires and a semi-quantitative food frequency questionnaire to assess beverage consumption at ages 21 to 50 years. Odds ratios (ORs), adjusted ORs (aORs), 95% confidence intervals (CI) and P values were estimated using logistic regression models. Results A total of 1,001 knee OA, 993 hip OA and 933 control participants were included in the study. Increasing beer consumption was associated with an increasing risk of OA (P for trend ≤0.001). Compared to those who did not consume beer, aORs for people who consumed 20 or more servings of beer were 1.93 (95% CI 1.26 to 2.94) and 2.15 (95% CI 1.45 to 3.19) for knee OA and hip OA, respectively. In contrast, increasing levels of wine consumption were associated with decreased likelihood of knee OA (P for trend <0.001). Compared to those who did not consume wine, aOR for knee OA among those who consumed 4 to 6 glasses of wine per week and ≥7 glasses of wine per week was 0.55 (95% CI 0.34 to 0.87) and 0.48 (95% CI 0.29 to 0.80), respectively. No association was identified between non-alcoholic beverages and knee or hip OA. Conclusions Beer consumption appears to be a risk factor for knee and hip OA whereas consumption of wine has a negative association with knee OA. The mechanism behind these findings is speculative but warrants further study. Electronic supplementary material The online version of this article (doi:10.1186/s13075-015-0534-4) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Stella G Muthuri
- Division of Epidemiology and Public Health, University of Nottingham, Clinical Sciences Building, Nottingham City Hospital, Nottingham, NG5 1PB, UK.
| | - Weiya Zhang
- Academic Rheumatology, University of Nottingham, Clinical Sciences Building, Nottingham City Hospital, Nottingham, NG5 1PB, UK.
| | - Rose A Maciewicz
- Respiratory, Inflammation, Autoimmunity Innovative Medicines, AstraZeneca AB, SE-432 83, Mölndal, Sweden.
| | - Kenneth Muir
- Institute of Population Health, University of Manchester, Manchester, UK. .,Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, CV4 7AL, UK.
| | - Michael Doherty
- Academic Rheumatology, University of Nottingham, Clinical Sciences Building, Nottingham City Hospital, Nottingham, NG5 1PB, UK.
| |
Collapse
|
15
|
Relationship between cigarette smoking and radiographic knee osteoarthritis in Chinese population: a cross-sectional study. Rheumatol Int 2015; 35:1211-7. [PMID: 25588371 DOI: 10.1007/s00296-014-3202-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2014] [Accepted: 12/22/2014] [Indexed: 10/24/2022]
Abstract
The purpose of this paper was to estimate the cross-sectional association between cigarette smoking and radiographic knee Osteoarthritis (OA) in Chinese population. A total of 3,789 subjects (1,796 females and 1,993 males) participated in this study. A subject was diagnosed with radiographic knee OA if Kellgren-Lawrence (K-L) grade ≥2 in at least one leg. The smoking status was classified into four levels based on the daily smoking habit: (1) 0/day; (2) 1-10/day; (3) 11-20/day; and (4) >20/day. Linear trend and multivariable logistic regression were conducted for statistical analysis. The prevalence of radiographic knee OA was 28.4 % among the subjects of this study. An inverse association was observed between cigarette smoking and radiographic knee OA in the linear trend test. Such association remained valid after adjusting the factors of age, gender, body mass index, betel quilt chewing status, physical activity, alcohol drinking status, mean total energy intake and educational level in the multivariable logistic regression. This study suggested a negative association between cigarette smoking and radiographic knee OA in the Chinese population. The findings of this study need to be confirmed by further prospective research.
Collapse
|
16
|
Apold H, Meyer HE, Nordsletten L, Furnes O, Baste V, Flugsrud GB. Risk factors for knee replacement due to primary osteoarthritis, a population based, prospective cohort study of 315,495 individuals. BMC Musculoskelet Disord 2014; 15:217. [PMID: 24957045 PMCID: PMC4081510 DOI: 10.1186/1471-2474-15-217] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2013] [Accepted: 06/10/2014] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Osteoarthritis (OA) of the knee is a common and disabling condition. We wanted to investigate the modifiable risk factors Body Mass Index (BMI) and physical activity, using knee replacement (KR) as a marker for severely symptomatic disease, focusing on the interaction between these risk factors. METHODS 315,495 participants (mean age 43.0 years) from national health screenings were followed prospectively with respect to KR identified by linkage to the Norwegian Arthroplasty Register. Data were analysed by Cox proportional hazard regression. RESULTS During 12 years of follow up 1,323 individuals received KR for primary OA. There was a dose-response relationship between BMI and heavy labour, and later KR. Comparing the highest versus the lowest quarter of BMI, the relative risk was 6.2 (95% CI: 4.2-9.0) in men and 11.1 (95% CI: 7.8-15.6) in women. Men reporting intensive physical activity at work had a relative risk of 2.4 (95% CI: 1.8-3.2) versus men reporting sedentary activity at work, the corresponding figure in women being 2.3 (95% CI: 1.7-3.2). The effect of BMI and physical activity at work was additive. The heaviest men with the most strenuous work had a RR of 11.7 (95% CI: 5.9-23.1) compared to the ones with the lowest BMI and most sedentary work. For women the corresponding RR was 15.8 (95% CI: 8.2-30.3). There was no association between physical activity during leisure and KR. CONCLUSION We found that a high BMI and intensive physical activity at work both contribute strongly to the risk of having a KR. As the two risk factors seem to act independently, people with strenuous physical work with a high BMI are at particularly high risk for severely disabling OA of the knee, and should be targeted with effective preventive measures.
Collapse
Affiliation(s)
- Hilde Apold
- Orthopaedic department, Telemark Hospital, Skien, Norway.
| | | | | | | | | | | |
Collapse
|
17
|
Leung YY, Ang LW, Thumboo J, Wang R, Yuan JM, Koh WP. Cigarette smoking and risk of total knee replacement for severe osteoarthritis among Chinese in Singapore--the Singapore Chinese health study. Osteoarthritis Cartilage 2014; 22:764-70. [PMID: 24680935 PMCID: PMC4051850 DOI: 10.1016/j.joca.2014.03.013] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Revised: 02/26/2014] [Accepted: 03/19/2014] [Indexed: 02/02/2023]
Abstract
PURPOSE Data on the effects of cigarette smoking with osteoarthritis (OA) are inconsistent and no study has examined the effect of smoking cessation. We examined smoking status, duration, dosage and cessation in association with risk of total knee replacement (TKR) for severe knee OA among elderly Chinese in Singapore. METHODS We used data from the Singapore Chinese Health Study, a population-based prospective cohort of 63,257 Chinese men and women aged 45-74 years during enrollment between 1993 and 1998. Detailed information on smoking, current diet and lifestyle factors were obtained through in person interviews. As of 31 December 2011, 1,973 incident TKR cases for severe knee OA had been identified via linkage with nationwide hospital discharge database. We used Cox regression methods to examine smoking in relation to TKR risk with adjustment for age, gender, education, body mass index (BMI), comorbidities and physical activity level. RESULTS Compared to never smokers, current smokers had a 51% decrease in risk of TKR [Hazards ratio (HR) = 0.49; 95% confidence interval (CI) = 0.40-0.60]. Among current smokers, there was a very strong dose-dependent association between increasing duration and dosage of smoking with decreasing risk of TKR (P for trend <0.0001). Among former smokers, there was a dose-dependent response between decrease in duration of smoking cessation and reduction in TKR risk (P for trend = 0.034). CONCLUSION Our findings strongly implicate smoking as a protective factor for TKR indicated for severe knee OA. This concurs with experimental data that nicotine promotes proliferation and collagen synthesis in chondrocytes.
Collapse
Affiliation(s)
- Ying-Ying Leung
- Duke-NUS Graduate Medical School Singapore
,Department of Rheumatology and Immunology, Singapore General Hospital
| | - Li-Wei Ang
- Epidemiology & Disease Control Division, Ministry of Health, Singapore
| | - J Thumboo
- Duke-NUS Graduate Medical School Singapore
,Department of Rheumatology and Immunology, Singapore General Hospital
,Yong Loo Lin School of Medicine, National University of Singapore
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer, Institute, Pittsburgh, Pennsylvania, USA
| | - Jian-min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer, Institute, Pittsburgh, Pennsylvania, USA
,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Woon-Puay Koh
- Duke-NUS Graduate Medical School Singapore
,Saw Swee Hock School of Public Health, National University of Singapore
| |
Collapse
|
18
|
Lanier RK, Gibson KD, Cohen AE, Varga M. Effects of dietary supplementation with the solanaceae plant alkaloid anatabine on joint pain and stiffness: results from an internet-based survey study. CLINICAL MEDICINE INSIGHTS-ARTHRITIS AND MUSCULOSKELETAL DISORDERS 2013; 6:73-84. [PMID: 24250235 PMCID: PMC3825642 DOI: 10.4137/cmamd.s13001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Anatabine is a Solanaceae plant family alkaloid marketed in the United States as a dietary supplement. It has demonstrated anti-inflammatory effects in vivo and in vitro, and may be useful for musculoskeletal aches and pains. The purpose of this internet-based survey study was to provide more information about anatabine users who report benefits for joint pain or stiffness. Of the 282 survey respondents, 232 (82%) reported a benefit from anatabine supplementation for one or more joint pain conditions, most commonly the knee, wrists/hands/fingers, shoulder, and back, most often due to osteoarthritis or injury to the joint. Mean scores of joint pain and stiffness were significantly (P < 0.0001) reduced after starting anatabine supplementation, and for most respondents joint pain was virtually eliminated. Around 90% of all individuals rated the effect of anatabine supplementation as good or excellent for joint pain, stiffness, functionality, and overall effects. These results provide evidence that anatabine supplementation can lead to substantial improvement of musculoskeletal aches, pains, and stiffness, and can provide benefits in some individuals for various medical conditions in multiple joint locations.
Collapse
Affiliation(s)
- Ryan K Lanier
- Rock Creek Pharmaceuticals, Inc., Gloucester, Massachusetts, USA
| | | | | | | |
Collapse
|
19
|
Affiliation(s)
- Tiffany K. Gill
- School of Medicine; The University of Adelaide; Adelaide South Australia Australia
| | - Catherine L. Hill
- Rheumatology Unit; The Queen Elizabeth Hospital; Adelaide South Australia Australia
- The Health Observatory; The University of Adelaide; Adelaide South Australia Australia
| |
Collapse
|