Objective To investigate the correlations and 5-year changes of metabolic traits in elderly patients with chronic non-communicable diseases. Methods Between January and December 2016, 159 patients with chronic non-infectious diseases were included and followed up until December 2020. Clinical data and biochemical indicators tested in first time (baseline metabolic traits) and every following year were collected. Spearman correlation coefficients were used to analyze correlations among baseline metabolic traits, as well as 5-year changes in metabolic traits. Results Spearman correlation analysis showed that systolic blood pressure in baseline cross-sectional analysis was significantly positively correlated with 2 h blood glucose (r=0.371), fasting insulin (r=0.287), C-reactive protein (r=0.379) and serum uric acid (r=0.268) levels (all P<0.05); while it was negatively correlated with high-density lipoprotein (r=-0.308) and apolipoprotein A (r=-0.311) (both P<0.05). Systolic blood pressure was positively correlated with C-reactive protein level (r=0.305, P<0.05), and negatively correlated with high-density lipoprotein level (r=-0.269, P<0.05). Fasting insulin and 2 h insulin was associated with low density lipoprotein(r=0.349, 0.287), fasting insulin and 2 h insulin were correlated with apolipoprotein B (r=0.290, 0.259), 2 h blood glucose and fasting insulin were positively correlated with serum uric acid (r=0.287 and 0.327, respectively) (all P<0.05). The changes of high-density lipoprotein and apolipoprotein A levels were significantly negatively correlated with the changes of C-reactive protein(r=-0.295, -0.377) and blood uric acid (r=-0.263, -0.262) levels (P<0.05). The changes of low-density lipoprotein and apolipoprotein B levels were significantly positively correlated with the changes of blood uric acid (r=0.258 and 0.257, respectively) (P<0.05). Conclusions The changes of blood pressure, glucose traits, lipids profile and inflammatory traits among the elderly patients with chronic non-infectious diseases showed significantly correlation and a synergistic trend.