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Objective:To explore the impact of stress perception on depression and the potential mediating role of resilience in medical staff.Methods:A total of 606 medical staff were recruited and investigated by self-designed questionnaire, the perceived stress scale (PSS-10), the 10-item Connor-Davidson resilience scale (CD-RISC-10), and the patient health questionnaire-9 (PHQ-9) from February to March, 2020.SPSS 26.0 software was used to execute Pearson or Spearman correlation analysis, common method biases test, and multicollinearity test.Model 4 in PROCESS 3.2 macro program and Bootstrap method were used for mediating effects analysis.Results:There was a positive correlation between stress perception score(16.93±6.65) and depression score (5.00(2.00, 9.00))( r=0.551, P<0.01), and a negative correlation between stress perception score and resilience score (27.08±8.68) ( r=-0.285, P<0.01) among 606 medical staff.There was a negative correlation between resilience score and depression score ( r=-0.474, P<0.01). Mesometric effect examination showed that resilience played a partial mediating role in the relationship between stress perception and depression, and the mediating effect accounted for 10.87% of the total effect. Conclusion:Stress perception can directly or indirectly influence depression scores, and resilience partially mediates the relationship between stress perception and depression.Depression can be reduced clinically by reducing stress perception or enhancing the resilience of medical personnel.
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Objective:To investigate the effects of different doses of dexmedetomidine (Dex) on heart rate variability (HRV) in patients with non-ST-segment elevation myocardial infarction (NSTEMI).Methods:The clinical data of 144 patients with NSTEMI from January 2017 to October 2020 in the 942 Hospital of Chinese PLA were analyzed retrospectively. Among them, 36 cases were treated with Dex 0.05 to 0.15 μg/(kg·h) (Dex1 group), 36 cases with Dex 0.20 to 0.40 μg/(kg·h) (Dex2 group), 36 cases with Dex 0.50 to 0.70 μg/(kg·h) (Dex3 group), and 36 cases without Dex (control group). The changes of HRV time domain indexes, frequency domain indexes and prognosis index before and after treatment were compared among 4 groups, the time domain indexes include normal R-R interval standard deviation (SDNN), mean value of adjacent normal R-R interval standard deviation (SDANNindex), root mean square of adjacent normal R-R interval standard deviation (SDNNindex), square root of adjacent normal R-R interval difference (rMSSD) and percentage of adjacent normal R-R interval difference>50 ms to R-R interval number (PNN50); the frequency domain indexes include total power (TP), low frequency power (LF), high frequency power (HF), ultra-low frequency power (VLF) and LF/HF; the prognostic indexes include ICU stay time, vasoactive drug use time, 28-day mortality and incidence of complication.Results:There was no significant difference in HRV indexes among 4 groups before treatment ( P>0.05); after treatment, except for LF/HF in Dex2 group and Dex3 group was significantly lower than that in control group and Dex1 group, other HRV indexes were significantly higher than those in control group and Dex1 group, and there were statistical differences ( P<0.05). There was no significant difference in 28-day mortality among 4 groups; the ICU stay time and vasoactive drug use time in Dex2 group were significantly shorter than those in control group, Dex1 group and Dex3 group: (7.14 ± 1.25) d vs. (9.08 ± 1.68), (9.53 ± 1.98) and (9.81 ± 1.95) d, (122.67 ± 29.5) h vs. (176.15 ± 23.26), (181.72 ± 23.40) and (180.42 ± 22.90) h, the incidence of complication was significantly lower than that in control group, Dex1 group and Dex3 group: 16.67% (6/36) vs. 72.22% (26/36), 47.22% (17/36) and 61.67% (22/36), and there were statistical differences ( P<0.05); there were no statistical difference in ICU stay time, vasoactive drug use time and incidence of complication among control group, Dex1 group and Dex3 group ( P>0.05). Conclusions:Dex 0.20 to 0.40 μg/(kg·h) is well tolerated, and has less adverse reactions. It can effectively increase HRV, regulate the balance of sympathetic-vagal nerve tension, stabilize cardiovascular response and improve prognosis in patients with NSTEMI.
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<p><b>OBJECTIVE</b>To investigate the quality of life of elderly diabetic patients and its influencing factors.</p><p><b>METHODS</b>By randomized cluster sampling, we conducted a survey in 1450 elderly residents (over 60 years old) living in urban, suburban and rural areas in south and north Anhui province. We evaluated the quality of life of the elderly diabetic patients using a demographic information questionnaire and full items on Short Form (36) Health Survey (SF-36).</p><p><b>RESULTS</b>The elderly diabetic patients had lower scores in all dimensions of quality of life than the elderly without diabetes. Multiple linear regression analysis showed a linear regression in the quality of life among the elderly diabetic patients in terms of geographic regions, education, personality, sleep quality, and age.</p><p><b>CONCLUSION</b>Elderly diabetic patients have generally poor quality of life, which was subjected to the influences by geographic regions, education, personality, sleep quality, and age, suggesting the necessity of corresponding interventions to improve the quality of life of these patients.</p>