Objective:To observe the clinical efficacy of Xinyue Decoction combined with fluoxetine hydrochloride in the treatment of cognitive impairment of senile depression.Methods:A randomized controlled trial study was conducted. Totally 116 elderly patients with depression accompanied by cognitive impairment were set as observation subjects, and were divided into a control group and an experimental group using random number table method, with 58 patients in each. The control group received treatment with fluoxetine hydrochloride capsules, while the experimental group was administered Xinyue Decoction Granules in addition to the treatment regimen of the control group. The treatment lasted for 8 weeks for both groups. Comparison was made between the two groups regarding the changes in TCM syndrome scores. Hamilton Depression Scale (HAMD-24) was used to assess the degree of depression, and Montreal Cognitive Assessment (MoCA BJ) was used to assess cognitive ability; the serum levels of brain-derived neurotrophic factor (BDNF), IL-1β, IL-6 and TNF-α were detected by ELISA; the adverse reactions during treatment were observed and recorded, and the clinical efficacy was evaluated.Results:The total effective rate of TCM syndromes was 90.4% (47/52) in the experimental group and 75.5% (40/53) in the control group, with statistical significance ( χ2=4.11, P<0.05); the total effective rate of MoCA-BJ was 76.9% (40/52) in the experimental group and 58.5% (31/53) in the control group, with statistical significance ( χ2=4.61, P<0.05); the total effective rate of HAMD-24 was 88.5% (46/52) in the experimental group and 71.7% (38/53) in the control group, with statistical significance ( χ2=4.07, P<0.05). After treatment, the TCM syndrome score, HAMD-24 and MoCA-BJ scores of the experimental group were lower than those in the control group ( t=-3.51, -5.11, 2.39, P<0.01 or P<0.05); the level of serum BDNF [(10.49±1.76) ng/L vs. (9.61±1.85) ng/L, t=2.28] in the observation group was higher than that of the control group ( P<0.05), and the levels of IL-1β, IL-6 and TNF-α were lower than those in the control group ( t=-2.50, -2.46, -2.18, P<0.05). During the treatment, the incidence of adverse reactions was 5.77% (3/52) in the experimental group and 7.55% (4/53) in the control group, without statistical significance ( χ2=0.13, P>0.05). Conclusion:Xinyue Decoction combined with fluoxetine hydrochloride can reduce the degree of depression in elderly patients with cognitive impairment of depression, improve the cognitive ability of patients and clinical efficacy.

Objective To investigate the sleep quality of civil aviation pilots and provide reference and basis for ensuring the sleep health of pilots. Methods A cross-sectional cluster sampling questionnaire was used.The Pittsburgh sleep quality index (PSQI) scale and self-made questionnaires were used to investigate and evaluate the sleep status of the active pilots of an airline company.Each component of PSQI was scored by 0 ,1 ,2 ,or 3 points ,and the cumulative score of 7 components was the total score of PSQI.If a PSQI component was scored as 2 or 3 points it would indicate a poor or very poor quality of the component.PSQI ＞ 7 meant poor sleep quality , and PSQI ≤7 meant good sleep quality. Results The average score of pilots′ PSQI was 8.09 ± 3.47. The mean scores of PSQI component were 1.53 ± 0.80 for sleep quality ,1.45 ± 0.93 for time to fall asleep ,1.39 ± 0.97 for sleep time ,0.38 ± 0.73 for sleep efficiency ,1.22 ± 0.58 for sleep disorder , 0.11 ± 0.47 for hypnotic drug ,and 2.00 ± 1.06 for daytime dysfunction.The distribution by frequency that for the PSQI component ≥2 was daytime dysfunction (66.2%) ,sleep quality (52.9%) ,sleep time (48.8%) and time to fall asleep (48.5%) respectively.55.6% of civil aviation pilots showed sleep quality problems. Conclusions The sleep quality problem of civil aviation pilots is serious and should be highly concerned and actively intervened.

Objective To investigate the sleep quality of civil aviation pilots and provide reference and basis for ensuring the sleep health of pilots. Methods A cross-sectional cluster sampling questionnaire was used.The Pittsburgh sleep quality index (PSQI) scale and self-made questionnaires were used to investigate and evaluate the sleep status of the active pilots of an airline company.Each component of PSQI was scored by 0 ,1 ,2 ,or 3 points ,and the cumulative score of 7 components was the total score of PSQI.If a PSQI component was scored as 2 or 3 points it would indicate a poor or very poor quality of the component.PSQI ＞ 7 meant poor sleep quality , and PSQI ≤7 meant good sleep quality. Results The average score of pilots′ PSQI was 8.09 ± 3.47. The mean scores of PSQI component were 1.53 ± 0.80 for sleep quality ,1.45 ± 0.93 for time to fall asleep ,1.39 ± 0.97 for sleep time ,0.38 ± 0.73 for sleep efficiency ,1.22 ± 0.58 for sleep disorder , 0.11 ± 0.47 for hypnotic drug ,and 2.00 ± 1.06 for daytime dysfunction.The distribution by frequency that for the PSQI component ≥2 was daytime dysfunction (66.2%) ,sleep quality (52.9%) ,sleep time (48.8%) and time to fall asleep (48.5%) respectively.55.6% of civil aviation pilots showed sleep quality problems. Conclusions The sleep quality problem of civil aviation pilots is serious and should be highly concerned and actively intervened.

Objective To investigate and analyze the snoring disease incidence,moderate and severe snoring disease incidence rate,the risk factors and their relationship to daytime lethargy in civil flying personnel.Methods The cluster sampling method was chosen.A questionnaire survey was conducted for 1 400 civil flying personnel.Items of questionnaire included general information (personal name,gender,age,education),physiological parameters (height,weight,neck circumference,waist circumference and blood pressure),smoking and drinking history,chronic disease history,family history of snoring,cognition of snoring,snoring severity score,Epworth sleepiness score (ESS) scale as well as sleep related flight data (flight course,type of aircraft,flying jet lag,total flying hours and flying hours per year),and calculated body mass index.The effective questionnaires were statistically analyzed,and the prevalence of snoring and the prevalence of moderate and severe snoring were calculated.The risk factors associated with snoring were screened.The snoring degree was assessed according to Guidelines for the Diagnosis and Treatment of Obstructive Sleep Apnea Hypopnea Syndrome (2011 Revision).According to the degree of snoring,the patients were divided into non snoring group,mild snoring group and moderate or severe snoring group.The score of ESS in different snoring groups was compared.Results Totally 1 356 questionnaires were collected and 1 227 questionnaires were valid.The valid rate of the questionnaire was 90.5％.Subjects included 1 206 male flying personnel and 21 female flying personnel.The snoring prevalence rate of male flying personnel was 60.0％ (723/1 206)and the moderate or severe snoring prevalence rate of male flying personnel was 14.8％(179/1 206).No snoring was found in female flying personnel.For the male flying personnel older than 30 years old,the snoring prevalence rate was 64.5 ％ (402/623),and the moderate or severe snoring prevalence rate was 19.4％oo (121/623).The prevalences of snoring and moderate or severe snoring increased with age and BMI(x2 =19.714-38.964,P＜0.01).Prevalences of snoring and moderate or severe snoring increased with the increase of smoking and alcohol consumption (x2 =15.969-58.919,P ＜ 0.01).Age,BMI,neck circumference,waist circumference,smoking and drinking habits and family history were the risk factors of snoring.For flight factors the jet lag was the risk factor of snoring.The significant differences of daytime ESS score between non snoring group and snoring groups were found(F=6.126,P＜0.01).Conclusions The snoring prevalence of male civil flying personnel is related to age,BMI,neck circumference,waist circumference,smoking and drinking habits,family history and flight jet lag.The severer snoring the higher ESS score obtained.It should be highly regarded.

Objective To investigate and analyze the snoring disease incidence,moderate and severe snoring disease incidence rate,the risk factors and their relationship to daytime lethargy in civil flying personnel.Methods The cluster sampling method was chosen.A questionnaire survey was conducted for 1 400 civil flying personnel.Items of questionnaire included general information (personal name,gender,age,education),physiological parameters (height,weight,neck circumference,waist circumference and blood pressure),smoking and drinking history,chronic disease history,family history of snoring,cognition of snoring,snoring severity score,Epworth sleepiness score (ESS) scale as well as sleep related flight data (flight course,type of aircraft,flying jet lag,total flying hours and flying hours per year),and calculated body mass index.The effective questionnaires were statistically analyzed,and the prevalence of snoring and the prevalence of moderate and severe snoring were calculated.The risk factors associated with snoring were screened.The snoring degree was assessed according to Guidelines for the Diagnosis and Treatment of Obstructive Sleep Apnea Hypopnea Syndrome (2011 Revision).According to the degree of snoring,the patients were divided into non snoring group,mild snoring group and moderate or severe snoring group.The score of ESS in different snoring groups was compared.Results Totally 1 356 questionnaires were collected and 1 227 questionnaires were valid.The valid rate of the questionnaire was 90.5％.Subjects included 1 206 male flying personnel and 21 female flying personnel.The snoring prevalence rate of male flying personnel was 60.0％ (723/1 206)and the moderate or severe snoring prevalence rate of male flying personnel was 14.8％(179/1 206).No snoring was found in female flying personnel.For the male flying personnel older than 30 years old,the snoring prevalence rate was 64.5 ％ (402/623),and the moderate or severe snoring prevalence rate was 19.4％oo (121/623).The prevalences of snoring and moderate or severe snoring increased with age and BMI(x2 =19.714-38.964,P＜0.01).Prevalences of snoring and moderate or severe snoring increased with the increase of smoking and alcohol consumption (x2 =15.969-58.919,P ＜ 0.01).Age,BMI,neck circumference,waist circumference,smoking and drinking habits and family history were the risk factors of snoring.For flight factors the jet lag was the risk factor of snoring.The significant differences of daytime ESS score between non snoring group and snoring groups were found(F=6.126,P＜0.01).Conclusions The snoring prevalence of male civil flying personnel is related to age,BMI,neck circumference,waist circumference,smoking and drinking habits,family history and flight jet lag.The severer snoring the higher ESS score obtained.It should be highly regarded.