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Ideal cardiovascular health metrics have better identification of arthritis
Yuxiang Wang1, Mengzi Sun1, Nan Yao1
1Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Avenue, 130021, Changchun, P. R. China.
Insights
Achieving ideal cardiovascular health metrics (ICVHM) significantly reduces arthritis risk. Higher ICVHM scores offer protective benefits against arthritis (AR) and its subtypes in US adults.
Area of Science:
- Cardiovascular Health
- Rheumatology
- Public Health
Background:
- Cardiovascular health is crucial for overall well-being.
- Arthritis (AR) encompasses various joint conditions like osteoarthritis and rheumatoid arthritis.
- Understanding the link between cardiovascular health and arthritis is vital for prevention strategies.
Purpose of the Study:
- To investigate the association between ideal cardiovascular health metrics (ICVHM) and arthritis (AR) in US adults.
- To explore interactions among ICVHM indicators in relation to AR.
- To provide insights for arthritis identification and prevention.
Main Methods:
- Analysis of 17,041 participants from NHANES (2011-2018).
- Categorization of arthritis into osteoarthritis, rheumatoid arthritis, and other forms.
- Application of logistic regression and mixed graphical models (MGM) to assess associations and interactions.
Main Results:
- Higher ICVHM scores demonstrated a significant protective effect against AR (ORs ranging from 0.586 to 0.130).
- This protective association was consistent across different types of arthritis.
- ICVHM showed a strong predictive capability (AUC=0.765), with notable interactions between blood pressure and total cholesterol.
Conclusions:
- Ideal cardiovascular health metrics are significantly correlated with reduced arthritis prevalence.
- ICVHM is a more effective indicator for arthritis than individual metrics.
- Targeting modifiable cardiovascular risk factors with strong interactions can enhance arthritis prevention efforts.
Background:
This study aimed to explore the association between ideal cardiovascular health metrics (ICVHM) and arthritis (AR), as well as the interactions of various indicators in ICVHM on AR in US adults.
Methods:
We involved 17,041 participants who were interviewed by NHANES from 2011 to 2018. AR included osteoarthritis or degenerative arthritis (OA), rheumatoid arthritis (RA), and psoriatic arthritis and other arthritis (Other AR). Logistic regression was applied to analyze the association between AR and ICVHM. Mixed graphical model (MGM) was used to explore the interaction between variables in ICVHM.
Results:
Higher ICVHM scores had a protective effect on AR. Compared to "≤1" score, the ORs of AR in participants with 2, 3, 4, and ≥5 were 0.586, 0.472, 0.259, and 0.130, respectively. Similar results were also found in different types of AR. ICVHM has a maximum area under the curve value of 0.765 and the interaction between blood pressure and total cholesterol was 0.43.
Conclusions:
ICVHM correlates significantly with AR and is better at identifying AR than individual indicators. ICVHM can be better improved by controlling the indicators with stronger interactions. Our findings provide guidance for promoting health factors, which have important implications for identification and prevention of AR.
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