Observational Study
Copyright ©The Author(s) 2024.
World J Psychiatry. Dec 19, 2024; 14(12): 1925-1935
Published online Dec 19, 2024. doi: 10.5498/wjp.v14.i12.1925
Table 1 Difference of demographic information, dietary information and serological information between two groups
Variables
Total (n = 295)
NMCI group (n = 134)
MCI group (n = 161)
Statistic
P value
Demographic information
Age, mean ± SD70.68 ± 8.4768.33 ± 7.5672.63 ± 8.71t = -4.49< 0.001
Sex, n (%)χ² = 0.420.516
    Male137 (46.44)65 (48.51)72 (44.72)
    Female158 (53.56)69 (51.49)89 (55.28)
BMI, mean ± SD22.57 ± 4.1522.75 ± 3.7822.43 ± 4.45t = 0.650.514
Hypertension, n (%)χ² = 4.470.035
    No211 (71.53)104 (77.61)107 (66.46)
    Yes84 (28.47)30 (22.39)54 (33.54)
Diabetes, n (%)χ² = 10.180.001
    No228 (77.29)115 (85.82)113 (70.19)
    Yes67 (22.71)19 (14.18)48 (29.81)
Hyperlipemia, n (%)χ² = 4.230.040
    No233 (78.98)113 (84.33)120 (74.53)
    Yes62 (21.02)21 (15.67)41 (25.47)
Cardiovascular disease, n (%)χ² = 4.590.032
    No225 (76.27)110 (82.09)115 (71.43)
    Yes70 (23.73)24 (17.91)46 (28.57)
Pulmonary disease, n (%)χ² = 0.350.554
    No256 (86.78)118 (88.06)138 (85.71)
    Yes39 (13.22)16 (11.94)23 (14.29)
Kidney disease, n (%)χ² = 0.060.808
    No265 (89.83)121 (90.30)144 (89.44)
    Yes30 (10.17)13 (9.70)17 (10.56)
Dietary information
Smoking, n (%)χ² = 7.100.008
    No178 (60.34)92 (68.66)86 (53.42)
    Yes117 (39.66)42 (31.34)75 (46.58)
Drinking, n (%)χ² = 0.100.750
    No190 (64.41)85 (63.43)105 (65.22)
    Yes105 (35.59)49 (36.57)56 (34.78)
Tea, n (%)χ² = 3.320.069
    No232 (78.64)99 (73.88)133 (82.61)
    Yes63 (21.36)35 (26.12)28 (17.39)
Coffee, n (%)χ² = 4.550.033
    No250 (84.75)107 (79.85)143 (88.82)
    Yes45 (15.25)27 (20.15)18 (11.18)
Spicy diet, n (%)χ² = 0.110.735
    No204 (69.15)94 (70.15)110 (68.32)
    Yes91 (30.85)40 (29.85)51 (31.68)
High-sweet diet, n (%)χ² = 0.050.815
    No236 (80.00)108 (80.60)128 (79.50)
    Yes59 (20.00)26 (19.40)33 (20.50)
High fried diet, n (%)χ² = 0.670.413
    No236 (80.00)110 (82.09)126 (78.26)
    Yes59 (20.00)24 (17.91)35 (21.74)
High-salt diet, n (%)χ² = 7.420.006
    No203 (68.81)103 (76.87)100 (62.11)
    Yes92 (31.19)31 (23.13)61 (37.89)
High cholesterol diet, n (%)χ² = 4.690.030
    No220 (74.58)108 (80.60)112 (69.57)
    Yes75 (25.42)26 (19.40)49 (30.43)
High-vitamin diet, n (%)χ² = 5.620.018
    No176 (59.66)70 (52.24)106 (65.84)
    Yes119 (40.34)64 (47.76)55 (34.16)
Edible oil type, n (%)χ² = 0.470.494
    Vegetable oil192 (65.08)90 (67.16)102 (63.35)
    Animal oil103 (34.92)44 (32.84)59 (36.65)
Serological indicators
RBC, mean ± SD4.65 ± 1.024.83 ± 1.054.51 ± 0.96t = 2.800.005
WBC, mean ± SD7.17 ± 3.376.97 ± 3.457.33 ± 3.32t = -0.910.362
NLR, mean ± SD2.25 ± 0.612.02 ± 0.532.43 ± 0.61t = -6.12< 0.001
PLT, mean ± SD168.71 ± 29.96171.31 ± 31.69166.54 ± 28.37t = 1.360.174
IL-6 increases, n (%)χ² = 2.180.140
    No219 (74.24)105 (78.36)114 (70.81)
    Yes76 (25.76)29 (21.64)47 (29.19)
TC, mean ± SD5.01 ± 1.214.92 ± 1.175.10 ± 1.25t = -1.270.204
TG, mean ± SD1.29 ± 0.401.25 ± 0.361.32 ± 0.43t = -1.310.191
HDL-C, mean ± SD1.36 ± 0.251.41 ± 0.271.33 ± 0.21t = 2.740.007
LDL-C, mean ± SD3.29 ± 0.413.22 ± 0.313.35 ± 0.47t = -2.960.003
Table 2 Logistic regression analysis of demographic information, dietary information and serological information between the two groups
Variables
Univariate Logistic analysis
Multivariate Logistic analysis
β
SE
Z
P value
OR (95%CI)
β
SE
Z
P value
OR (95%CI)
Age0.060.024.23< 0.0011.07 (1.03-1.10)0.120.025.25< 0.0011.12 (1.08-1.17)
Hypertension
    No1.00 (Reference)1.00 (Reference)
    Yes0.560.272.100.0361.75 (1.04-2.95)1.190.402.980.0033.28 (1.50-7.16)
Diabetes
    No1.00 (Reference)1.00 (Reference)
    Yes0.940.303.130.0022.57 (1.42-4.64)1.070.402.650.0082.91 (1.32-6.40)
Hyperlipemia
    No1.00 (Reference)1.00 (Reference)
    Yes0.610.302.040.0411.84 (1.02-3.30)0.830.392.140.0322.30 (1.07-4.92)
Cardiovascular disease
    No1.00 (Reference)1.00 (Reference)
    Yes0.610.282.130.0331.83 (1.05-3.20)0.550.381.420.1541.73 (0.81-3.66)
Smoking
    No1.00 (Reference)1.00 (Reference)
    Yes0.650.242.650.0081.91 (1.18-3.08)0.700.322.190.0292.02 (1.08-3.80)
Coffee
    No1.00 (Reference)1.00 (Reference)
    Yes-0.700.33-2.110.0350.50 (0.26-0.95)-0.140.45-0.310.7580.87 (0.36-2.11)
High-salt diet
    No1.00 (Reference)1.00 (Reference)
    Yes0.710.262.700.0072.03 (1.21-3.38)1.250.363.45< 0.0013.47 (1.71-7.05)
High cholesterol diet
    No1.00 (Reference)1.00 (Reference)
    Yes0.600.282.150.0311.82 (1.05-3.13)0.880.372.370.0182.41 (1.16-4.98)
High-vitamin diet
    No1.00 (Reference)1.00 (Reference)
    Yes-0.570.24-2.360.0180.57 (0.35-0.91)-0.710.32-2.180.0290.49 (0.26-0.93)
RBC-0.330.12-2.740.0060.72 (0.57-0.91)-0.600.17-3.59< 0.0010.55 (0.39-0.76)
NLR1.250.235.48< 0.0013.50 (2.24-5.48)1.950.345.78< 0.0017.05 (3.64-13.65)
HDL-C-1.350.50-2.730.0060.26 (0.10-0.68)-2.040.65-3.140.0020.13 (0.04-0.46)
LDL-C0.840.302.770.0062.31 (1.28-4.18)0.760.381.990.0472.14 (1.01-4.53)
Table 3 Confusion matrix analysis of clinical predictive models
Data
AUC (95%CI)
Accuracy (95%CI)
Sensitivity (95%CI)
Specificity (95%CI)
PPV (95%CI)
NPV (95%CI)
Cut off
Train0.86 (0.81-0.91)0.80 (0.73-0.85)0.87 (0.80-0.94)0.73 (0.65-0.81)0.73 (0.65-0.81)0.87 (0.80-0.94)0.595
Test0.79 (0.70-0.89)0.73 (0.63-0.82)0.80 (0.68-0.92)0.67 (0.54-0.80)0.67 (0.53-0.80)0.80 (0.68-0.93)0.595