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Observational Study
Copyright ©The Author(s) 2026.
World J Psychiatry. Jan 19, 2026; 16(1): 112787
Published online Jan 19, 2026. doi: 10.5498/wjp.v16.i1.112787
Table 1 Fitting indicators of the latent class growth model for anxiety levels
No.
AIC
BIC
aBIC
Entropy
LMR
BLRT
Probability
13823.3523844.2113825.1931.000
23481.8183513.1063484.5790.984< 0.001< 0.0010.121/0.879
33334.7453376.4623338.4260.956< 0.001< 0.0010.115/0.119/0.766
43251.9773304.1243256.5780.8990.083< 0.0010.114/0.129/0.279/0.477
53193.9693256.5463199.4910.9240.003< 0.0010.055/0.065/0.134/0.271/0.476
Table 2 Fitting indicators of the latent class growth model for depression levels
No.
AIC
BIC
aBIC
Entropy
LMR
BLRT
Probability
13864.5883885.4463866.4281.0001.000
23509.8563541.1443512.6160.9580.034< 0.0010.163/0.837
33354.1163395.8333357.7970.9510.007< 0.0010.122/0.124/0.754
43316.6203368.7673321.2210.8430.136< 0.0010.115/0.120/0.257/0.508
53262.4973325.0743268.0190.8940.051< 0.0010.050/0.075/0.113/0.234/0.527
Table 3 Univariate analysis of anxiety and depression levels in elderly patients after lumbar interbody fusion, mean ± SD/n (%)
Characteristic
A1 (n = 26)
A2 (n = 27)
A3 (n = 186)
χ2/F value
P value
D1 (n = 30)
D2 (n = 26)
D3 (n = 183)
χ2/F value
P value
Sex8.3200.0166.1010.047
Male6 (23.08)11 (40.74)97 (52.15)18 (60.00)8 (30.77)101 (55.19)
Female20 (76.92)16 (59.26)89 (47.85)12 (40.00)18 (69.23)82 (44.81)
Age (year)72.45 ± 5.3671.85 ± 5.5073.37 ± 4.040.5820.56071.47 ± 4.5272.62 ± 5.7872.49 ± 5.230.6530.521
BMI (kg/m2)21.58 ± 1.1721.59 ± 1.1621.23 ± 0.881.1430.32121.22 ± 1.2021.75 ± 1.1121.57 ± 1.131.6330.197
Symptom duration5.4790.0654.8870.087
< 1 year9 (34.62)18 (66.67)92 (49.46)18 (60.00)17 (65.38)84 (45.90)
≥ 1 year17 (65.38)9 (33.33)94 (50.54)12 (40.00)9 (34.62)99 (54.10)
Education level11.5320.0736.0030.423
Secondary school14 (53.85)6 (22.22)50 (26.88)9 (30.00)8 (30.77)53 (28.96)
Junior high school6 (23.08)7 (25.93)41 (22.04)7 (23.33)4 (15.38)43 (23.50)
High school3 (11.54)10 (37.04)53 (28.49)10 (33.33)11 (42.31)45 (24.59)
College and above3 (11.54)4 (14.81)42 (22.58)4 (13.33)3 (11.54)42 (22.95)
Residence2.3150.3142.7020.259
City13 (50.00)17 (62.96)88 (47.31)18 (60.00)15 (57.69)85 (46.45)
Countryside13 (50.00)10 (37.04)98 (52.69)12 (40.00)11 (42.31)98 (53.55)
Have a partner6.2500.0447.4290.024
Yes9 (34.62)18 (66.67)107 (57.53)19 (63.33)8 (30.77)105 (57.38)
No17 (73.08)9 (33.33)79 (42.47)11 (36.67)18 (69.23)78 (42.62)
Smoking0.2500.8825.9270.052
Yes13 (50.00)15 (55.56)94 (50.54)11 (36.67)18 (69.23)93 (50.82)
No13 (50.00)12 (44.44)92 (49.46)19 (63.33)8 (30.77)90 (49.18)
Alcohol abuse0.5700.7523.2520.198
Yes15 (57.69)13 (48.15)94 (50.54)14 (46.67)9 (34.62)97 (53.01)
No11 (42.31)14 (51.85)92 (49.46)16 (53.33)17 (65.38)86 (46.99)
History of diabetes3.3480.1871.4650.481
Yes17 (65.38)17 (62.96)93 (50.00)19 (63.33)13 (50.00)95 (51.91)
No9 (34.62)10 (37.04)93 (50.00)11 (36.67)13 (50.00)88 (48.09)
History of hypertension1.3010.5221.7040.427
Yes16 (61.54)16 (59.26)96 (51.61)15 (50.00)17 (65.38)96 (52.46)
No10 (38.46)11 (40.74)90 (48.39)15 (50.00)9 (34.62)87 (47.54)
History of coronary heart disease0.2350.8895.0890.079
Yes14 (53.85)15 (55.56)95 (51.08)21 (70.00)11 (42.31)92 (50.27)
No12 (46.15)12 (44.44)91 (48.92)9 (30.00)15 (57.69)91 (49.73)
Preoperative diagnosis9.0690.1342.8770.825
Spondylolisthesis17 (65.38)10 (37.04)121 (65.05)16 (53.33)15 (57.69)117 (63.93)
Scoliosis4 (15.38)7 (25.93)24 (12.90)6 (20.00)4 (15.38)25 (13.66)
Recurrent disc herniation1 (3.85)2 (7.41)7 (3.76)2 (6.67)1 (3.85)7 (3.83)
Stenosis4 (15.38)8 (29.63)34 (18.28)6 (20.00)6 (23.08)34 (18.58)
Number of levels decompressed8.1690.35410.0850.225
18 (30.77)12 (44.44)63 (33.87)14 (46.67)13 (50.00)56 (30.60)
28 (30.77)6 (22.22)72 (38.71)10 (33.33)4 (15.38)72 (39.34)
33 (11.54)6 (22.22)22 (11.83)3 (10.00)4 (15.38)24 (13.11)
44 (15.38)1 (3.71)19 (10.22)2 (6.67)2 (7.69)20 (10.93)
53 (11.54)2 (7.41)10 (5.39)1 (3.33)3 (11.54)11 (6.01)
Number of levels fused11.6540.0207.5420.103
18 (30.77)12 (44.44)87 (46.77)10 (33.33)10 (38.46)87 (47.54)
28 (30.77)8 (29.63)74 (39.78)14 (46.67)7 (26.92)69 (37.71)
≥ 310 (38.46)7 (25.93)25 (13.44)6 (20.00)9 (34.62)27 (14.75)
Chronic opioid use postop1.0020.6066.7770.034
Yes14 (53.85)17 (62.96)98 (52.69)11 (36.67)18 (69.23)82 (44.81)
No12 (46.15)10 (37.04)88 (47.31)19 (63.33)8 (30.77)101 (55.19)
Post- vs pre-surgery ODI scores10.9260.02710.4660.032
Elevated11 (42.31)7 (25.93)30 (16.13)8 (26.67)11 (42.31)33 (18.03)
Reduced6 (23.08)9 (33.33)57 (30.65)11 (36.67)6 (23.08)51 (27.87)
No significant change9 (34.62)11 (40.74)99 (53.23)11 (36.67)9 (34.62)99 (54.10)
Post- vs pre-surgery SF-36 scores10.2320.03310.2070.034
Elevated7 (26.92)14 (51.85)87 (46.77)12 (40.00)9 (34.62)86 (46.99)
Reduced9 (34.62)6 (22.22)24 (12.90)6 (20.00)11 (42.31)27 (14.75)
No significant change10 (38.46)7 (25.93)75 (40.32)12 (40.00)6 (23.08)70 (38.25)
Table 4 Logistic regression analysis of factors influencing anxiety levels in elderly patients after lumbar interbody fusion

β
SE
OR
95%CI
P value
A1 vs A2
Have a partner1.2020.5953.3261.036-10.6820.043
A1 vs A3
Sex-1.1860.5000.3050.115-0.8150.018
ODI scores-0.5670.2850.5670.325-0.9920.047
SF-36 scores0.5960.2951.8151.012-3.2550.045
Table 5 Logistic regression analysis of factors influencing depression levels in elderly patients after lumbar interbody fusion

β
SE
OR
95%CI
P value
D1 vs D2
Sex-1.2910.5850.2750.087-0.8660.027
Chronic opioid use postop-1.4130.6180.2430.073-0.8170.022
D2 vs D3
Sex-1.0100.4690.3640.145-0.9130.031
ODI scores-0.6380.2650.5280.314-0.8880.016