Remnant Cholesterol as an Independent Predictor of Periodontitis: A Population-Based Study
Table 1
Baseline characteristics of 4829 participants.
Characteristic
Total
RC (mg/dL)
value
Grade 1 (<15)
Grade 2 (15~20)
Grade 3 (20~30)
Grade 4 (>30)
No. (%)
No. (%)
No. (%)
No. (%)
No. (%)
Total patients
4829
1185 (24.5)
1245 (25.8)
1243 (25.7)
1156 (23.9)
Age (IQR)
40, 63
39, 61
40, 63
42, 65
41, 62
<0.001
Gender
<0.001
Male
2349 (48.6)
487 (41.1)
599 (48.1)
609 (49.0)
654 (56.6)
Female
2480 (51.4)
698 (58.9)
646 (51.9)
634 (51.0)
502 (43.4)
BMI (kg/m2) (IQR)
24.60, 32.41
22.80, 30.50
23.91, 31.58
25.60, 33.10
26.89, 34.20
<0.001
Marital status
0.694
Married
2849 (59.0)
706 (59.6)
717 (57.6)
742 (59.7)
684 (59.2)
Unmarried/other
1980 (41.0)
479 (40.4)
528 (42.4)
501 (40.3)
472 (40.8)
Race
<0.001
Non-Hispanic white
2116 (43.8)
495 (41.8)
542 (43.5)
536 (43.1)
543 (47.0)
Non-Hispanic black
942 (19.5)
353 (29.8)
277 (22.2)
191 (15.4)
121 (18.2)
Mexican American
686 (14.2)
104 (8.8)
139 (11.2)
233 (18.7)
210 (18.2)
Other Hispanic
507 (10.5)
104 (8.8)
117 (9.4)
140 (11.3)
146 (12.6)
Other
578 (12.0)
129 (10.9)
170 (13.7)
143 (11.5)
136 (11.8)
Hypertension
<0.001
Yes
1825 (37.8)
379 (32.0)
434 (34.9)
491 (39.5)
521 (45.1)
No/unknown
3004 (62.2)
806 (68.0)
811 (65.1)
752 (60.5)
635 (54.9)
Diabetes mellitus
<0.001
Yes
574 (11.9)
81 (6.8)
124 (10.0)
177 (14.2)
192 (16.6)
Prediabetes
4122 (85.4)
1071 (90.4)
1091 (87.6)
1035 (83.3)
925 (80.0)
No/unknown
133 (2.8)
33 (2.8)
30 (2.4)
31 (2.5)
39 (3.4)
Periodontitis
0.003
No
3467 (71.8)
890 (75.1)
903 (72.5)
885 (71.2)
789 (68.3)
Yes
1362 (28.2)
295 (24.9)
342 (27.5)
358 (28.8)
367 (31.7)
Total cholesterol
155, 202
155, 202
167, 214
173, 225
184, 235
<0.001
Triglycerides
73, 139
48, 65
80, 94
113, 137
171, 246
<0.001
HDL-C
43, 63
52, 73
47, 65
42, 59
37, 50
<0.001
LDL-C
93, 139
83, 123
94, 137
99, 144
98, 148
<0.001
Abbreviations: BMI: body mass index; RC: remnant cholesterol; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol. Continuous variables were presented as mean and standard deviation, and categorical variables were expressed as (%). For categorical variables, values were analyzed by chi-square tests. For continuous variables, the -test for slope was used in generalized linear models.
