Dataset Information

The relationship between osteoarthritis and cardiovascular disease in a population health survey: a cross-sectional study.

ABSTRACT:

Objectives

Our objective was to determine the relationship between osteoarthritis (OA) and heart diseases (myocardial infarction (MI), angina, congestive heart failure (CHF)) and stroke using population-based survey data.

Design

Cross-sectional study.

Setting

Canadian Community Health Survey (CCHS).

Participants

Adult participants in the CCHS cycles 1.1, 2.1 and 3.1 were included. CCHS provides nationally representative data on health determinants, health status and health system utilisation. We have identified 40 817 self-reported OA subjects and selected 1:1 matched non-OA respondents by age, sex and CCHS cycles.

Main outcome measures

Self-reported heart disease was the primary outcome and MI, angina, CHF and stroke were considered as secondary outcomes. Multivariable logistic regression models were used to estimate the ORs after adjusting for sociodemographic status, obesity, physical activity, smoking status, fruit and vegetable consumption, medication use, diabetes, hypertension and chronic obstructive pulmonary disease.

Results

The mean age of OA cases was 66 years and 71.6% were women. OA exhibited increased odds of prevalent heart disease, and adjusted overall OR (95% CI) was 1.45 (1.36 to 1.54), 1.35 (1.21 to 1.50) among men and 1.51 (1.39 to 1.64) among women with OA. OA showed increased ORs for angina and CHF in both men and women, and for MI in women. ORs (95% CI) for men and women, respectively, were 1.08 (0.91 to 1.28) and 1.49 (1.28 to 1.75) for MI, 1.76 (1.43 to 2.17) and 1.84 (1.59 to 2.14) for angina, 1.50 (1.13 to 1.97) and 1.81 (1.49 to 2.21) for CHF, and 1.08 (0.83 to 1.40) and 1.13 (0.93 to 1.37) for stroke.

Conclusions

Prevalent OA was associated with self-reported heart disease, particularly angina, and CHF in both men and women, after controlling for established risk factors for these conditions. This study provides a rationale for further investigation of the association between OA and heart disease in longitudinal studies for investigating possible biological and behavioural mechanisms.

SUBMITTER: Rahman MM

PROVIDER: S-EPMC3657665 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The relationship between osteoarthritis and cardiovascular disease in a population health survey: a cross-sectional study.

Rahman M Mushfiqur MM Kopec Jacek A JA Cibere Jolanda J Goldsmith Charlie H CH Anis Aslam H AH

BMJ open 20130514 5

<h4>Objectives</h4>Our objective was to determine the relationship between osteoarthritis (OA) and heart diseases (myocardial infarction (MI), angina, congestive heart failure (CHF)) and stroke using population-based survey data.<h4>Design</h4>Cross-sectional study.<h4>Setting</h4>Canadian Community Health Survey (CCHS).<h4>Participants</h4>Adult participants in the CCHS cycles 1.1, 2.1 and 3.1 were included. CCHS provides nationally representative data on health determinants, health status and ...[more]

PMID: 23674445

Similar Datasets

Project description:BackgroundUndergo a health check for cardiovascular disease (CVD) is an important strategy to improve cardiovascular (CV) health. Men are reported to be less likely to undergo cardiovascular disease (CVD) health check than women. Gender difference could be one of the factors influencing health seeking behaviour of men and women. We aimed to identify gender differences in factors influencing the intention to undergo CVD health checks.MethodsThis was a cross-sectional survey using mall intercept interviews. Malaysians aged ≥30 years without known CVD were recruited. They were asked for their intention to undergo CVD health checks and associated factors. The factors included seven internal factors that were related to individuals' attitude, perception and preparedness for CVD health checks and two external factors that were related to external resources. Hierarchical ordinal regression analysis was used to evaluate the importance of the factors on intention to undergo CVD health checks, for men and women separately.Results397 participants were recruited, 60% were women. For men, internal factors explained 31.6% of the variances in likeliness and 9.6% of the timeline to undergo CVD health checks, with 1.2% and 1.8% added respectively when external factors were sequentially included. For women, internal factors explained 18.9% and 22.1% of the variances, with 3.1% and 4.2% added with inclusion of the external factors. In men, perceived drawbacks of health checks was a significant negative factor associated with likeliness to undergo CVD health checks (coefficient = -1.093; 95%CI:-1.592 to -0.594), and timeline for checks (coefficient = -0.533; 95%CI:-0.975 to -0.091). In women, readiness to handle outcomes following health checks was significantly associated with likeliness to undergo the checks (coefficient = 0.575; 95%CI: 0.063 to 1.087), and timeline for checks (coefficient = 0.645; 95%CI: 0.162 to 1.128). Both external factors 1) influence by significant others (coefficient = 0.406; 95%CI: 0.013 to 0.800) and 2) external barriers (coefficient = -0.440; 95%CI:-0.869 to -0.011) were also significantly associated with likeliness to undergo CVD health checks in women.ConclusionsBoth men and women were influenced by internal factors in their intention to undergo CVD health checks, and women were also influenced by external factors. Interventions to encourage CVD health checks need to focus on internal factors and be gender sensitive.

Project description:OBJECTIVES:To estimate the current prevalence of cardiovascular disease risk factors (CRFs) and renal disorders across serum uric acid (SUA) quartiles, and evaluate the relationships between SUA and CRFs and renal diseases in Shanghai population. STUDY DESIGN:Observational, cross-sectional study. SETTING:Data were obtained from the physical check-up of local residents at three hospitals in Shanghai. PARTICIPANTS:Residents were invited to take part in a physical check-up and provided informed consent. Exclusion criteria were diseases that resemble cancer, hepatic disease, and other coexisting illnesses including autoimmune kidney diseases and renal artery stenosis, individuals treated with xanthine oxidase inhibitors, and those with incomplete information. There are 26 768 individuals in our study. PRIMARY AND SECONDARY OUTCOME MEASURES:Hyperuricaemia was defined as SUA ≥7 mg/dL in men and ≥6 mg/dL in women or taking xanthine oxidase inhibitors. Subjects were divided into gender-specific quartiles. We estimate the prevalence of CRFs and renal disorders across SUA quartiles. The relationships between SUA and CRFs and renal disorders in both genders were evaluated using logistic regression analysis. RESULTS:There was a significant increase in the prevalence of major CRFs and renal diseases across SUA quartiles in a separate analysis among men and women (all p trend <0.001). After multiple adjustment, hyperuricaemia positively correlated with obesity (male OR=3.165, p<0.001; female OR=3.776, p<0.001), hypertension (male OR=1.341, p<0.001; female OR=1.289, p=0.006), dyslipidaemia (male OR=2.490, p<0.001; female OR=3.614, p<0.001), chronic kidney disease (male OR=7.081, p<0.001; female OR=11.571, p<0.001) and nephrolithiasis (male OR=1.469, p<0.001; female OR=1.242, p=0.041), but negatively correlated with diabetes mellitus (male OR=0.206, p<0.001; female OR=0.524, p<0.001). There was a stronger association between hyperuricaemia and clustered CRFs as well as chronic kidney disease in women than in men. CONCLUSIONS:In Shanghai population, concomitant with the elevated level of SUA, the prevalence of CRFs and renal diseases was rising. Hyperuricaemia was significantly associated with CRFs and renal disorders, especially in women.

Dataset Information

The relationship between osteoarthritis and cardiovascular disease in a population health survey: a cross-sectional study.

Objectives

Design

Setting

Participants

Main outcome measures

Results

Conclusions

Publications

The relationship between osteoarthritis and cardiovascular disease in a population health survey: a cross-sectional study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets