The interplay between inflammation, physical activity and metabolic syndrome in a remote male geriatric community in Southern Taiwan: the Tianliao Old People (TOP) study 03

Table 1 Clinical characteristics: comparison between non-MetS and MetS groups

Variation	Non-MetS (n = 223)	MetS (n = 86)
Age (years)*	74 ± 0.4	74 ± 0.6
hsCRP (mg/L)*	1.0 ± 0.3	1.6 ± 0.7**
ATP III MetS criteria (%)
Hypertension	71.7	89.5**
Increased waist	18.8	74.4***
Low HDL-C	9.9	70.9***
Hyperglycemia	21.5	59.3***
High triglyceride	3.6	51.2***
Fasting glucose (mg/dL)	93.7 ± 7.7	101.5 ± 10.6***
Insulin (uIU/mL)*	4.8 ± 0.3	9.4 ± 1.4***
Cholesterol (mg/dL)	194.5 ± 36.2	194.1 ± 33.7
Triglycerides (mg/dL)*	84.0 ± 2.1	151 ± 9.0***
LDL-C (mg/dL)	124.8 ± 31.0	123.0 ± 31.7
HDL-C (mg/dL)	51.4 ± 11.1	38.5 ± 6.7***
Waist (cm)	82.2 ± 10.3	94.2 ± 7.6***
Height (cm)	160.9 ± 5.9	161.8 ± 5.4
Weight (kg)	59.5 ± 8.2	69.4 ± 8.3***
BMI (kg/m²)	23.0 ± 2.7	26.5 ± 2.8***
Body fat*	18.8 ± 6.2	23.3 ± 0.6***
Physical activity(MET-hr/week)	183.1 ± 19.0	173.5 ± 10.6*
MetSC*	1 ± 0.05	3 ± 0.07***
Smoke, current	17	17.4
Liver disease (%)	3.6	4.7
Stroke (%)	3.1	10.5*
Heart disease (%)	13.0	18.6
Arrhythmia (%)	2.2	3.5
Cardiac catheterization (%)	4.0	4.7

1. Continuous variables with normal distribution are mean ± standard deviation (SD) and with non-normal distribution (variation*) are median ± standard error (SE). Categorical variables are reported as numbers and percentages, as indicated.
2. Continuous variables with normal distribution were tested using Student’s t test; otherwise, Mann–Whitney U test was used. Comparisons between categorical variables were made using a χ² test. *p <0.05; **p <0.01; ***p <0.001.
Abbreviations: ATP III = Adult Treatment Panel III; BMI = body mass index; HDL-C = high-density lipoprotein; hsCRP = high-sensitivity C-reactive protein; LDL-C = low-density lipoprotein; MetS = metabolic syndrome.

ISSN: 1758-5996