Objective:To compare the effects of standard cognitive behavioral therapy for insomnia (CBT-I) and enhanced cognitive behavioral therapy for insomnia(CBT-I Plus) in patients with chronic insomnia disorder comorbid anxiety or depressive symptoms.Methods:This prospective study included 148 patients with chronic insomnia disorder and anxiety/depression symptoms who were treated at the Sleep Disorder clinic of Shanghai Mental Health Center between July 2020 and August 2023. Participants (56 males, 92 females; aged 18-65 years, mean age 35.08±10.30 years) were randomly assigned in a 1∶2 ratio to the CBT-I group ( n=54) or CBT-I Plus group ( n=94). The CBT-I Plus group received additional treatments targeting anxiety and depressive symptoms. Treatment lasted 8 weeks, with assessment conducted at baseline, weeks 2, 4, and 8. Depression severity was measured using the 17-item Hamilton Depression Rating Scale (HAMD 17), anxiety severity with the Hamilton Anxiety Scale (HAMA), and sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Paired sample t-tests were used to evaluate within-group changes, repeated-measures ANOVA compared treatment effects between groups, and ANCOVA was employed to adjust for confounding variables. Results:Significant reductions in PSQI, HAMD 17, and HAMA scores were observed in both groups after treatment: CBT-I group: PSQI ((14.15±2.54) vs. (7.50±3.35), t=13.25), HAMD 17 ((14.70±4.09) vs. (7.40±4.61), t=9.33), and HAMA ((14.94±4.11) vs. (5.56±3.67), t=12.38) (all P<0.001).CBT-I Plus group: PSQI ((14.87±3.01) vs. (7.19±3.86), t=18.75), HAMD 17 ((16.84±3.91) vs. (6.84±4.79), t=17.42), and HAMA ((15.57±3.93) vs. (6.10±4.57), t=18.39) (all P<0.001). After adjusting for HAMD 17 scores and medication use, no statistically significant between-group differences were observed in changes in PSQI, HAMD 17, and HAMA scores ( P>0.05). A significant time-by-group interaction was found for the PSQI daytime dysfunction subscale ( F=4.87, P<0.01). Conclusion:Both CBT-I and CBT-I Plus improve sleep and emotional symptoms in patients with chronic insomnia disorder and comorbid anxiety/depression symptoms. However, CBT-I Plus has no significant advantages over standard CBT-I. Further studies are needed to refine the timing and content of interventions.

Objective:To compare the effects of standard cognitive behavioral therapy for insomnia (CBT-I) and enhanced cognitive behavioral therapy for insomnia(CBT-I Plus) in patients with chronic insomnia disorder comorbid anxiety or depressive symptoms.Methods:This prospective study included 148 patients with chronic insomnia disorder and anxiety/depression symptoms who were treated at the Sleep Disorder clinic of Shanghai Mental Health Center between July 2020 and August 2023. Participants (56 males, 92 females; aged 18-65 years, mean age 35.08±10.30 years) were randomly assigned in a 1∶2 ratio to the CBT-I group ( n=54) or CBT-I Plus group ( n=94). The CBT-I Plus group received additional treatments targeting anxiety and depressive symptoms. Treatment lasted 8 weeks, with assessment conducted at baseline, weeks 2, 4, and 8. Depression severity was measured using the 17-item Hamilton Depression Rating Scale (HAMD 17), anxiety severity with the Hamilton Anxiety Scale (HAMA), and sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Paired sample t-tests were used to evaluate within-group changes, repeated-measures ANOVA compared treatment effects between groups, and ANCOVA was employed to adjust for confounding variables. Results:Significant reductions in PSQI, HAMD 17, and HAMA scores were observed in both groups after treatment: CBT-I group: PSQI ((14.15±2.54) vs. (7.50±3.35), t=13.25), HAMD 17 ((14.70±4.09) vs. (7.40±4.61), t=9.33), and HAMA ((14.94±4.11) vs. (5.56±3.67), t=12.38) (all P<0.001).CBT-I Plus group: PSQI ((14.87±3.01) vs. (7.19±3.86), t=18.75), HAMD 17 ((16.84±3.91) vs. (6.84±4.79), t=17.42), and HAMA ((15.57±3.93) vs. (6.10±4.57), t=18.39) (all P<0.001). After adjusting for HAMD 17 scores and medication use, no statistically significant between-group differences were observed in changes in PSQI, HAMD 17, and HAMA scores ( P>0.05). A significant time-by-group interaction was found for the PSQI daytime dysfunction subscale ( F=4.87, P<0.01). Conclusion:Both CBT-I and CBT-I Plus improve sleep and emotional symptoms in patients with chronic insomnia disorder and comorbid anxiety/depression symptoms. However, CBT-I Plus has no significant advantages over standard CBT-I. Further studies are needed to refine the timing and content of interventions.

Objective:The current study aims to explore the factors related to the efficacy of cognitive behavior therapy for insomnia (CBT-I) from the perspective of patients and to provide references for more effective implementation of CBT-I.Methods:Using qualitative research methods, 21 insomnia patients with depression/anxiety were treated with CBT-I for 8 consecutive times. Pittsburgh Sleep Quality Index (PSQI), Hamilton Depression Scale (HAMD 17), and Hamilton Anxiety Scale (HAMA) were assessed at baseline and the end of the 8th week of treatment. The paired sample t-test was conducted. Semi-structured interviews were performed at week 2, week 4, and week 8 respectively and thematic analysis was used to code and analyze the interview data. Results:Compared with baseline data, the symptoms of insomnia (13.6±2.0 vs. 6.9±2.4), depression (14.6±5.5 vs. 5.0±3.6), and anxiety (17.2±3.4 vs. 5.3±3.9) were significantly improved after 8 weeks of CBT-I treatment ( t=-3.31, -3.19, -2.94, all P<0.01). The patient factors influencing the efficacy of CBT-I were treatment expectation and approval, motivation, compliance, and internalization of treatment content. The therapist factors were professionalism, well-directed, treatment style, supervision, and giving hope. Conclusion:Compliance and high levels of participation of the patients can benefit the treatment efficacy of CBT-I. Therapists should have sufficient experience, stimulate patients′ motivation, improve patients′ compliance, and carry out adequate psychological education in the early stage to increase the efficacy of CBT-I.

Objective:The current study aims to explore the factors related to the efficacy of cognitive behavior therapy for insomnia (CBT-I) from the perspective of patients and to provide references for more effective implementation of CBT-I.Methods:Using qualitative research methods, 21 insomnia patients with depression/anxiety were treated with CBT-I for 8 consecutive times. Pittsburgh Sleep Quality Index (PSQI), Hamilton Depression Scale (HAMD 17), and Hamilton Anxiety Scale (HAMA) were assessed at baseline and the end of the 8th week of treatment. The paired sample t-test was conducted. Semi-structured interviews were performed at week 2, week 4, and week 8 respectively and thematic analysis was used to code and analyze the interview data. Results:Compared with baseline data, the symptoms of insomnia (13.6±2.0 vs. 6.9±2.4), depression (14.6±5.5 vs. 5.0±3.6), and anxiety (17.2±3.4 vs. 5.3±3.9) were significantly improved after 8 weeks of CBT-I treatment ( t=-3.31, -3.19, -2.94, all P<0.01). The patient factors influencing the efficacy of CBT-I were treatment expectation and approval, motivation, compliance, and internalization of treatment content. The therapist factors were professionalism, well-directed, treatment style, supervision, and giving hope. Conclusion:Compliance and high levels of participation of the patients can benefit the treatment efficacy of CBT-I. Therapists should have sufficient experience, stimulate patients′ motivation, improve patients′ compliance, and carry out adequate psychological education in the early stage to increase the efficacy of CBT-I.

Objective To over-express human trefoil factor 2 (hTFF2) by Escherichia coli system and an-alyze its activities in promoting migration and anchorage-independent growth in SW480 colonic cancer cells. Meth-ods hTFF2 gene encoding mature peptide was obtained by RT-PCR, and the recombinant expression vector pET32a-hTFF2 was constructed. Then pET32a-hTFF2 was transformed into E. coli BL21-32a and TrxA-hTFF2 fu-sion protein was induced to over-express. The expressed product was isolated by Ni-NTA affinity chromatography, purified by dialysis and identified by Western blotting. The activities of the recombinant hTFF2 in promoting SW480 cells migration and anchorage-independent growth were analyzed by MicroChemotaxis Chamber migration assay and Soft-agar assay,respectively. Results The TrxA-hTFF2 fusion protein was expressed to 220 mg/L at high purity. In vitro model demonstrated that recombinant hTFF2 obviously enhanced SW480 cell migration activity and anchor-age-independent growth. Conclusion The recombinant hTFF2 can be expressed in E. coli with high production, purity and biological activities. And its roles in cell migration and anchorage-independent growth suggest that up-regulation of TFF2 in colonic cancer might be involved in cancer invasion and metastases.