Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu 520-2192, Japan.
Department of Public Health, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu 520-2192, Japan.
Nutrients. 2020 Nov 30;12(12):3707. doi: 10.3390/nu12123707.
The consumption of red meat has been recommended for individuals with reduced kidney function. However, red meat intake was recently suspected to increase cardiovascular disease (CVD) risk. We evaluated the association of red meat intake with CVD mortality risk in Japanese with/without reduced kidney function. Overall, 9112 participants of a Japanese national survey in 1980, aged ≥30 years, were followed for 29 years. Red meat intake was assessed using weighed dietary record. Cox proportional hazards models were used to estimate the hazard ratio (HR) of CVD mortality according to sex-specific tertiles of red meat intake. We also performed stratified analyses with/without reduced kidney function defined as estimated glomerular filtration rate less than 60 mL/min/1.73 m. Red meat intake was not associated with CVD mortality risk in men and women. In stratified analyses, the HR of the highest compared with the lowest tertile of red meat intake was lower only in women with reduced kidney function (0.67, 95% confidence interval 0.46-0.98). In conclusion, there were no clear associations between red meat intake and CVD mortality risk in Japanese population; however, a higher intake of red meat was associated with lower risk of future CVD mortality in women with reduced kidney function.
摄入红肉类食物已被推荐用于肾功能降低的个体。然而,红肉类食物的摄入最近被怀疑会增加心血管疾病(CVD)的风险。我们评估了摄入红肉类食物与具有/不具有肾功能降低的日本人群 CVD 死亡率风险之间的关联。总体而言,对 1980 年日本全国调查中的 9112 名年龄≥30 岁的参与者进行了 29 年的随访。使用称重膳食记录评估红肉类食物的摄入量。使用 Cox 比例风险模型根据红肉类食物摄入量的性别特异性三分位来估计 CVD 死亡率的风险比(HR)。我们还进行了具有/不具有肾功能降低的分层分析,定义为估计肾小球滤过率<60 mL/min/1.73 m。红肉类食物的摄入量与男性和女性的 CVD 死亡率风险无关。在分层分析中,与最低三分位相比,最高三分位的红肉类食物摄入量的 HR 在肾功能降低的女性中仅较低(0.67,95%置信区间 0.46-0.98)。总之,在日本人群中,红肉类食物的摄入量与 CVD 死亡率风险之间没有明确的关联;然而,在肾功能降低的女性中,红肉类食物的较高摄入量与未来 CVD 死亡率风险降低相关。