Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China.
Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China.
Acta Diabetol. 2022 Aug;59(8):1063-1071. doi: 10.1007/s00592-022-01896-x. Epub 2022 May 28.
The evidence for association between cardiovascular health (CVH) metrics and type 2 diabetes mellitus (T2DM) in Chinese population is limited. We explored the association between the number of ideal CVH metrics and risk of incident T2DM in a rural Chinese population.
A total of 12,150 rural Chinese participants (median age 51 years) were enrolled. A Cox proportional-hazards model was used to assess the association between the number of ideal CVH metrics and risk of incident T2DM by using hazard ratios (HRs) and 95% confidence intervals (CIs). We another conducted multiplicative and additive interaction effect between the number of ideal CVH metrics and sex or age on incident T2DM, and subgroup analyses of the association were also conducted by sex and age.
During a median of 6.01 years of follow-up, 840 incident cases of T2DM occurred. The number of ideal CVH metrics was negatively associated with risk of incident T2DM (per unit increase: HR = 0.76, 95% CI 0.70-0.82). We also observed both multiplicative and additive interaction effect between lower number of ideal CVH metrics and sex on incident T2DM, and multiplicative interaction effect between lower number of ideal CVH metrics and age on incident T2DM was observed. The association remained statistically significant for both men and women, or participants with age < 65 years.
Increasing number of ideal CVH metrics was associated with reduced risk of incident T2DM, which presented age- and sex-related differential associations.
心血管健康（CVH）指标与 2 型糖尿病（T2DM）之间关联的证据在中国人群中有限。我们探索了在农村中国人群中，理想 CVH 指标数量与 T2DM 发病风险之间的关系。
共纳入 12150 名农村中国参与者（中位年龄 51 岁）。使用 Cox 比例风险模型评估理想 CVH 指标数量与 T2DM 发病风险之间的关联，使用风险比（HR）和 95%置信区间（CI）。我们还对理想 CVH 指标数量与性别或年龄之间对 T2DM 发病的相乘和相加交互作用进行了分析，并按性别和年龄进行了亚组分析。
在中位 6.01 年的随访期间，发生了 840 例 T2DM 事件。理想 CVH 指标数量与 T2DM 发病风险呈负相关（每增加一个单位：HR=0.76，95%CI 0.70-0.82）。我们还观察到理想 CVH 指标数量与性别之间存在相乘和相加交互作用，以及理想 CVH 指标数量与年龄之间存在相乘交互作用。这种关联在男性和女性，或年龄<65 岁的参与者中均具有统计学意义。
增加理想 CVH 指标数量与降低 T2DM 发病风险相关，且呈现出与年龄和性别相关的差异关联。
