Association between weight-adjusted-waist index and the prevalence of rheumatoid arthritis and osteoarthritis: a population-based study

Abstract

Introduction The weight-adjusted-waist Index (WWI), an innovative metric for assessing obesity, exhibits superior efficacy in appraising lean muscle and adipose tissue mass relative to both the Body Mass Index (BMI) and Waist Circumference (WC). The objective of this research paper is to investigate the correlation between WWI and the incidence of Rheumatoid Arthritis (RA) and Osteoarthritis (OA). Methods In this population-based study, we collected data from adult participants aged 20–80 years using the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2020 to analyze the association between WWI and the occurrence of RA and OA. NHANES, a nationally representative cross-sectional survey, is designed to evaluate the health and nutritional status of the U.S. population. The current research incorporates an extensive, nationally representative sample of U.S. adults, utilizing weighted multivariate linear regression and smoothed curve fitting techniques to examine linear and non-linear relationships. Threshold effects were determined through a two-part linear regression model. Additionally, subgroup analyses and interaction tests were conducted to explore the connection between WWI and the incidence of RA and OA. Results Our findings reveal a linear positive correlation between WWI and OA prevalence, indicating that an increase in WWI is linked to a heightened risk of OA. Conversely, a non-linear relationship was observed between WWI and RA prevalence, exhibiting a significant threshold effect with a saturation value of 11.21 cm/√kg. A positive association was detected to the left of the saturation point, while no significant association was present between the two variables to the right of the saturation point, suggesting a complex non-linear relationship between RA prevalence and WWI. Conclusions This investigation demonstrates a positive linear association between WWI and OA prevalence, as well as a complex non-linear relationship with RA prevalence in U.S. adults aged 20–80 years.

Development and validation of a new nomogram for OA based on machine learning

“…In accordance with previous research, we identi ed factors including age, gender, race, educational level, poverty income ratio (PIR), marital status, body mass index (BMI), alcohol consumption, smoking status, recreational physical activity, self-reported health status, dietary intake factors, renal function, and the systemic immune-in ammatory index (SII) as in uencing factors [20,21]. Age (years) and PIR were used as continuous variables.…”

The relationship between weight-adjusted-waist index and total bone mineral density in adults aged 20-59

“…WWI is extensively employed in a multiracial setting since it has little interracial variation and has been found to reflect changes in abdominal composition with age, such as an increase in abdominal fat content and a reduction in muscle mass (20). The index has since been studied in a variety of fields, including obesity and cardiovascular disease (19, [35][36][37][38][39]. The association between WWI and BMD or osteoporosis in various age groups has been documented in earlier studies.…”

Annual epidemiological and health insurance disease burden of hip osteoarthritis in Hungary based on nationwide data

“…The prevalence of hip osteoarthritis will substantially increase over the coming decades due to the ageing population in both developed and developing countries, and because of the risk factors associated with the development of OA (e.g. obesity and metabolic disease, sedentary lifestyle, age, gender, ethnicity and race, genetics, nutrition, smoking, bone density and muscle function) [ 1 , 5 , 33 , 34 ].…”