Scholarlink

Background <p>Increasing evidence has shown that there was an association between arthritis and metabolism and circadian rhythms. Circadian syndrome (CircS) can serve as an overarching indicator of circadian and metabolic disturbances. However, there are limited studies investigating the longitudinal association between the symptomatic knee arthritis and circadian syndrome (CircS).</p> Methods <p>This study used the data from two waves (2011 and 2015) of the China Health and Retirement Longitudinal Study (CHARLS). CircS was diagnosed when participants exhibited four or more of the following specified components: short sleep, depression, abdominal obesity, hyperglycemia, hypertension, and dyslipidemia. Symptomatic knee arthritis was diagnosed when both concurrent pain in knee joint and physician-diagnosed arthritis existed. Individuals diagnosed with CircS in 2011 were excluded from the symptomatic knee arthritis group, and those with symptomatic knee arthritis in 2011 were excluded from the CircS group. Each group was followed up for four years to observe the incidence of CircS and symptomatic knee arthritis, respectively. Binary logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (<i>CI</i>s) for the longitudinal association between the symptomatic knee arthritis and CircS. Cross-lagged path analysis model was further conducted to estimate the bidirectional relationship. All models were considered to adjust for potential confounders.</p> Results <p>At the baseline, 5525 non-CircS individuals and 9773 individuals without symptomatic knee arthritis were included in this study, respectively. During 4-year follow-up, 1278 CircS and 950 symptomatic knee arthritis new cases were observed respectively. After adjusting for potential confounders, symptomatic knee arthritis was associated with increased risk of CircS (OR = 1.58, 95% <i>CI</i>: 1.24–2.02). CircS was associated with increased risk of symptomatic knee arthritis (OR = 1.52, 95% <i>CI</i>: 1.31–1.76). Cross-lagged path analysis showed that the symptomatic knee arthritis significantly affected the incidence of CircS (<i>β</i><sub>1</sub> = 0.05, 95% <i>CI</i>: 0.03–0.07, <i>P</i> &lt; 0.001), and vice versa (<i>β</i><sub>2</sub> = 0.07, 95% <i>CI</i>: 0.05–0.09, <i>P</i> &lt; 0.001).</p> Conclusions <p>Significant bidirectional associations were identified between the symptomatic knee arthritis and CircS. Interventions should be developed to prevent the development or progression of both symptomatic knee arthritis and CircS.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Bidirectional association between symptomatic knee arthritis and circadian syndrome among middle-aged and older population: an analysis from the China health and retirement longitudinal study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月3日

查看全文
  • Yasi Yang,
  • Boran Sun,
  • Wenbo Xiao,
  • Aerman Nuer,
  • Lemeng Ma,
  • Yun Zhu,
  • Yongjie Chen,
  • Xiaochen Huai,
  • Yuan Wang,
  • Wenli Lu

摘要

Background

Increasing evidence has shown that there was an association between arthritis and metabolism and circadian rhythms. Circadian syndrome (CircS) can serve as an overarching indicator of circadian and metabolic disturbances. However, there are limited studies investigating the longitudinal association between the symptomatic knee arthritis and circadian syndrome (CircS).

Methods

This study used the data from two waves (2011 and 2015) of the China Health and Retirement Longitudinal Study (CHARLS). CircS was diagnosed when participants exhibited four or more of the following specified components: short sleep, depression, abdominal obesity, hyperglycemia, hypertension, and dyslipidemia. Symptomatic knee arthritis was diagnosed when both concurrent pain in knee joint and physician-diagnosed arthritis existed. Individuals diagnosed with CircS in 2011 were excluded from the symptomatic knee arthritis group, and those with symptomatic knee arthritis in 2011 were excluded from the CircS group. Each group was followed up for four years to observe the incidence of CircS and symptomatic knee arthritis, respectively. Binary logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for the longitudinal association between the symptomatic knee arthritis and CircS. Cross-lagged path analysis model was further conducted to estimate the bidirectional relationship. All models were considered to adjust for potential confounders.

Results

At the baseline, 5525 non-CircS individuals and 9773 individuals without symptomatic knee arthritis were included in this study, respectively. During 4-year follow-up, 1278 CircS and 950 symptomatic knee arthritis new cases were observed respectively. After adjusting for potential confounders, symptomatic knee arthritis was associated with increased risk of CircS (OR = 1.58, 95% CI: 1.24–2.02). CircS was associated with increased risk of symptomatic knee arthritis (OR = 1.52, 95% CI: 1.31–1.76). Cross-lagged path analysis showed that the symptomatic knee arthritis significantly affected the incidence of CircS (β1 = 0.05, 95% CI: 0.03–0.07, P < 0.001), and vice versa (β2 = 0.07, 95% CI: 0.05–0.09, P < 0.001).

Conclusions

Significant bidirectional associations were identified between the symptomatic knee arthritis and CircS. Interventions should be developed to prevent the development or progression of both symptomatic knee arthritis and CircS.