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1.
J Rheumatol ; 33(9): 1813-7, 2006 Sep.
Article in English | MEDLINE | ID: mdl-16960942

ABSTRACT

OBJECTIVE: To identify associations and possible risk factors for gout that may contribute to chronic tophaceous gout in rural and urban districts of North Sulawesi, Indonesia. METHODS: A total of 190 patients with chronic gout and 190 age and sex matched controls were selected from 28 community health centers. Potential risk factors including alcohol consumption, food habits, family history, body weight, related medical conditions, drug use, and laboratory investigations were sought. RESULTS: Alcohol consumption and certain food habits were associated with gout. A positive family history of gout and overweight were also significant risk factors. Renal impairment was found in 86.3% of patients and hyperuricemia in 92.1%. In controls, renal impairment and hyperuricemia were 7.4% and 32.6%, respectively. Patients with hypertension and nephrolithiasis were more at risk of having associated gout. There was a significant association between gout, hyperuricemia, hypercholesterolemia, hypertriglyceridemia, and higher levels of creatinine and urea. There was also a significantly lower level of urine uric acid in gout cases compared with controls. Gouty tophi were found in 91% of these cases with chronic gout. The use of diuretics for treating hypertension, continuing excessive alcohol consumption and purine-rich food habits in untreated gout, and hyperuricemia were associated with chronic and tophaceous gout. Urate-lowering drugs were not available in the community health centers. CONCLUSION: Severe tophaceous gout with deformities and disability is found in North Sulawesi. Prominent risk factors include alcohol, obesity, renal impairment, diet, hypertension, and family history. Improved education about gout seems needed. Urate-lowering drugs are not available in community health centers but are needed, especially in rural areas, as studied here.


Subject(s)
Gout/epidemiology , Risk Assessment/methods , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Demography , Female , Humans , Indonesia/epidemiology , Male , Prevalence , Risk Factors
2.
J Rheumatol ; 31(12): 2439-43, 2004 Dec.
Article in English | MEDLINE | ID: mdl-15570648

ABSTRACT

OBJECTIVE: To determine whether the previously noted low prevalence of knee pain (KP) and lumbar pain (LP) in rural southern China compared with the high prevalence observed in North China was also true in a southern urban population. METHODS: A population based sample of 2040 adults > or = 16 years of age was studied in Chenghai City, close to the rural area previously studied on the southeast coast of China. Primary healthcare workers administered the COPCORD Phase I and II questionnaires. Those with rheumatic symptoms were recalled for medical examination, with a response rate at examination (phase III) of 98.4%. Those suspected of having arthritis had radiographs and laboratory tests. Prevalences were age and sex adjusted to the total of populations previously reported. RESULTS: (1) The prevalence for all rheumatic symptoms at phase III was 18.1%. Of the 7.5% with KP, 55% had osteoarthritic changes on radiograph (KOA) compared with 29% of a sample with no KP (p < 0.001). Of the 11.5% with LP, 69% had degenerative changes on lumbar spine radiograph (LOA). (2) Of residents in single-level houses the prevalence was 5.6% for KP and 7.9% for LP, whereas in 4 to 6-level apartment buildings these rates were significantly higher, 9.1% and 16.2%, respectively. All these pain rates were significantly lower than noted in rural North China. The prevalence of pain together with radiographic OA changes in the knee (KOA) was half the rate in single-floor residents (2.7%) compared to apartment residents (5.3%), as was lumbar spine degenerative disease (5.3% vs 11.5%). CONCLUSION: The prevalence of knee and lumbar spine pain in this southern urban sample was confirmed to be much lower than in the rural sample in the North, although higher than in the rural sample in the South. Comparing COPCORD studies of Han Chinese in Shanghai and Malaysia there was a decrease in prevalence of knee and back pain with latitude, suggesting an association with climate. Knee and back pain and radiological degenerative changes in the knee and lumbar spine were twice as prevalent in apartment residents than in those living in older single-level houses. Further study is needed to explain these observations.


Subject(s)
Arthralgia/epidemiology , Knee/physiopathology , Low Back Pain/epidemiology , Rheumatic Diseases/epidemiology , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Arthralgia/diagnosis , China/epidemiology , Cohort Studies , Female , Follow-Up Studies , Humans , Low Back Pain/diagnosis , Male , Middle Aged , Prevalence , Probability , Rheumatic Diseases/diagnosis , Severity of Illness Index , Sex Distribution , Surveys and Questionnaires , Urban Population
4.
Occup Med (Lond) ; 53(5): 313-9, 2003 Aug.
Article in English | MEDLINE | ID: mdl-12890830

ABSTRACT

BACKGROUND: The lack of universally agreed criteria has hampered population studies of the prevalence and causation of soft-tissue disorders of the upper limb. OBJECTIVES: To establish core variables for classification of the commonest disorders seen in population samples. METHODS: Consecutive new cases seen in clinical practice in five different centres were evaluated with respect to 30 variables shown to have discriminatory value in univariate analysis. Multivariate analysis using logistic regression modelling was carried out with these as the independent variables and with the clinical diagnosis as the dependent variable. RESULTS: A total of 1382 cases of soft-tissue disorder were recorded and only those diagnostic groups with 50 or more cases were included. In multivariate logistic regression, significant variables positively discriminating for each disorder were identified for carpal tunnel syndrome (n = 56), lateral epicondylitis (n = 87), tenosynovitis (n = 63), shoulder tendonitis (n = 157), non-specific upper limb disorder (n = 458), fibromyalgia (n = 124) and inflammatory arthritis (n = 100), which was used for comparison purposes. Significant discrimination for each model was demonstrated by the construction of receiver operating characteristic (ROC) curves and appropriate area under the curve statistics. CONCLUSIONS: This approach to classification criteria is based on multivariate modelling rather than on a consensus statement. This includes the effects of negative as well as positive associations. Further work is required on both the reproducibility of the clinical signs and the application of the criteria to other datasets.


Subject(s)
Musculoskeletal Diseases/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , Arm , Arthritis/epidemiology , Carpal Tunnel Syndrome/epidemiology , Cumulative Trauma Disorders/epidemiology , Female , Fibromyalgia/epidemiology , Humans , Male , Middle Aged , Occupational Diseases/epidemiology , Pain/etiology , Prevalence , Regression Analysis , Tendinopathy/epidemiology , Tennis Elbow/epidemiology , Tenosynovitis/epidemiology
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