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BMC Cardiovascular Disorders· 2026Q2

Sirkadiyen sendromu ve tahmini vücut yağ kütlesinin yaşlı Çinli yetişkinlerde insidans kalp hastalığı ile bağımsız ve ortak ilişkileri

Independent and joint associations of circadian syndrome and estimated body fat mass with incident heart disease in older Chinese adults

Maokun Long, Xiaojiang Zhao, Laiguo Han, Changqing Li

Kısa özet

Yaşlı Çinli yetişkinlerde (n=2.030, yaş ≥ 60), hem sirkadiyen sendrom (CircS) hem de daha yüksek vücut yağ kütlesi (BFM) bağımsız olarak kalp hastalığı (HD) riskini artırdı (sırasıyla HR=1.27 ve HR=1.47) ve bunların kombinasyonu riski daha da yükseltti (HR=1.67).

Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.

Ana noktalar

  • Sirkadiyen sendrom (CircS) ve daha yüksek tahmini vücut yağ kütlesi (BFM), yaşlı Çinli yetişkinlerde bildirilen insidans kalp hastalığı (HD) ile bağımsız olarak ilişkiliydi.
  • Hem CircS hem de BFM'si örnek ortalamasının üzerinde olan katılımcılar, insidans HD için önemli ölçüde daha yüksek risk gösterdi (HR = 1.67).
  • Birleşik CircS-BFM değerlendirmesi, HD'yi tahmin etmede zayıf bir ayrım yeteneği gösterdi.
  • Alt grup analizleri, cinsiyet, sigara durumu ve ikamet ile potansiyel etkileşimler olduğunu öne sürdü, ancak bunlar Bonferroni düzeltmesinden sonra istatistiksel olarak anlamlı kalmadı.

Yapay zekâ ile başlık ve abstract'tan üretildi; tam metin okunmaz.

Özet (abstract)

Although the individual associations of circadian syndrome (CircS) and estimated body fat mass (BFM) with heart disease (HD) have been documented, their joint impact remains poorly understood. This study aimed to investigate the independent and joint associations of CircS and estimated BFM with self-reported incident HD. This study analyzed longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS), collected between 2011 and 2020, which included 2,030 participants aged ≥ 60 years. CircS was defined as the presence of at least four out of its seven components. BFM was estimated using sex-specific equations that incorporated body mass index (BMI) and age, and this metric conceptually reflects adiposity. We used Cox proportional hazards regression models to examine the associations of CircS and estimated BFM with self-reported incident HD. Kaplan–Meier survival curves were generated for the CircS–BFM joint groups and were compared by the log-rank test (with statistical significance set at P < 0.05). Additionally, subgroup analyses and time-dependent receiver operating characteristic (ROC) curve analyses were performed. In the fully adjusted model, both CircS (hazard ratio [HR] = 1.27, 95% confidence interval [CI]: 1.01–1.60) and estimated BFM (HR = 1.47, 95% CI: 1.06–2.05) were independently associated with self-reported incident HD. In the joint analysis, participants who had both CircS and BFM levels at or above the sample median were associated with a higher risk of self-reported incident HD (HR = 1.67, 95% CI: 1.15–2.43). Kaplan–Meier analysis further demonstrated that the group with both risk factors had a significantly higher cumulative self-reported incidence of HD than the other groups (log-rank P < 0.05). However, the combined CircS–BFM assessment showed poor discriminative ability, with only a marginal numerical increase over CircS or BFM alone. Subgroup analyses identified significant interactions of sex and smoking status with the association between CircS and self-reported incident HD, as well as of residence with the association between estimated BFM and self-reported incident HD. However, these interactions did not remain statistically significant after Bonferroni correction. Among older Chinese adults, CircS and estimated BFM were independently and jointly associated with self-reported incident HD. However, the joint model demonstrated relatively poor predictive performance and, therefore, cannot currently be recommended as a standalone clinical prediction tool. Further validation in larger and more diverse populations is warranted.

Yazarların özeti; kaynağından alınmıştır. BMC Cardiovascular Disorders, 2026 · DOI ↗

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