Factors predicting quality of life among patients with cervical spondylosis undergoing acupuncture in China: a cross-sectional study.

IntroductionThis study aimed to examine the impact of social-psychological factors on anxiety before gastrointestinal endoscopy and its effect on patients’ quality of life (QoL).MethodsPatients scheduled for gastrointestinal endoscopy were recruited for the study. Demographic characteristics, social factors, lifestyle information and endoscopy-related data were obtained through self-reports and the hospital information system. The 7-item Generalized Anxiety Disorder Questionnaire (GAD-7) was used to assess anxiety, while depression and somatization were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and PHQ-15, respectively. Sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI), social support was assessed using the Social Support Rating Scale (SSRS), and QoL was evaluated through the 12-item Short Form Survey (SF-12).ResultsThe prevalence of anxiety before gastrointestinal endoscopy was 34.44%. Gender, age, sleep quality, social support, depression, and somatization were associated with anxiety (all P<0.05). Independent predictors of anxiety were gender, age, PSQI, SSRS, PHQ-9 and PHQ-15 scores (all P<0.05). Furthermore, PSQI, PHQ-9, and PHQ-15 scores were positively correlated with the severity of anxiety (all P<0.05). Patients with anxiety exhibited lower scores in domains of the SF-12, including general health (GH), physical functioning (PF), role-physical (RP), bodily pain (BP), role-emotional (RE), mental health (MH), vitality (VT), and social functioning (SF). Both physical component summary (PCS) and mental component summary (MCS) scores were reduced. Notably, GH, RP, RE, MH, VT, SF, and MCS scores were negatively correlated with varying levels of anxiety (all P<0.05).ConclusionSocial-psychological factors play a role in anxiety before gastrointestinal endoscopy; anxiety can negatively affect patients’ QoL.

The aim of the present study was to assess the impact of fibromyalgia (FM) comorbidity on disability, anxiety, depression, sleep disturbance, and quality of life in patients with migraine. Eighty-six consecutive migraine patients (age, 35.4±10.3 years; 69 women and 17 men) were enrolled in the study. The headache characteristics of the patients were recorded. FM was diagnosed based on the 1990 American College of Rheumatology classification criteria for the diagnosis of FM. All patients were asked to complete selfreport questionnaires, including the Fibromyalgia Impact Questionnaire (FIQ), Headache Impact Test (HIT-6), Migraine Disability Assessment Questionnaire (MIDAS), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and the 36- Item Short Form Survey (SF-36) to assess their pain-related disability, migraine-related disability, depression, anxiety, sleep disturbance, and quality of life. Of the migraine patients, 28 (32.6%) met the criteria for FM. Migraine patients with FM showed significantly increased migraine frequency and BDI, BAI, and PSQI scores and decreased quality of life scores for all eight domains of the SF-36 compared to patients with migraine alone, whereas the mean HIT-6 and MIDAS values did not differ between the groups. FIQ score showed statistically significant positive correlations with BDI, BAI, PSQI, and MIDAS scores and with headache frequency (p<0.001, r=0.657; p<0.001, r=0.730; p<0.001, r=0.754; p=0.005, r=0.300; p=0.008, r=0.286, respectively); FIQ score showed negative correlations with scores for all domains of the SF-36. In multivariate linear regression analysis, BDI, BAI, and PSQI scores independently predicted FIQ score. Our study results demonstrate the significant impact of FM comorbidity on anxiety, depression, sleep disturbance, and quality of life in this population. FM evaluation and treatment should be considered in the routine care of patients with migraine to globally improve the patient's quality of life.

Context: Since December 2019, more than 80,000 patients have been diagnosed with coronavirus disease 2019 (COVID-19) in China. Social support status of COVID-19 patients, especially the impact of social support on their psychological status and quality of life, needs to be addressed with increasing concern.Objectives: In this study, we used social support rating scale (SSRS) to investigate the social support in COVID-19 patients and nurses.Methods: The present study included 186 COVID-19 patients at a Wuhan mobile cabin hospital and 234 nurses at a Wuhan COVID-19 control center. Responses to a mobile phone app-based questionnaire about social support, anxiety, depression, and quality of life were recorded and evaluated.Results: COVID-19 patients scored significantly lower than nurses did on the Social Support Rating Scale (SSRS). Among these patients, 33.9% had anxiety symptoms, while 23.7% had depression symptoms. Overall SSRS, subjective social support scores and objective support scores of patients with anxiety were lower than those of patients without anxiety. This result was also found in depression. In addition, all dimensions of social support were positively correlated with quality of life. Interestingly, in all dimensions of social support, subjective support was found to be an independent predictive factor for anxiety, depression, and quality of life, whereas objective support was a predictive factor for quality of life, but not for anxiety and depression via regression analysis.Conclusion: Medical staffs should pay attention to the subjective feelings of patients and make COVID-19 patients feel respected, supported, and understood from the perspective of subjective support, which may greatly benefit patients, alleviate their anxiety and depression, and improve their quality of life.

Traumatic injuries, such as falling, car accidents, and crushing mostly cause spinal fractures in young and middle-aged people, and > 50% of them are thoracolumbar fractures. This kind of fracture is easily combined with serious injuries to peripheral nerves and soft tissues, which causes paralysis of the lower limbs if there is no timely rehabilitation treatment. Young patients with thoracolumbar fractures find it difficult to recover after the operation, and they are prone to depression, low self-esteem, and other negative emotions. To investigate the association between anxiety, depression, and social stress in young patients with thoracolumbar spine fractures and the effect on rehabilitation outcomes. This study retrospectively analyzed 100 patients admitted to the orthopedic department of Honghui Hospital, Xi'an Jiaotong University who underwent thoracolumbar spine fracture surgery from January 2022 to June 2023. The general data of the patients were assessed with the Hamilton anxiety scale (HAMA), Hamilton depression scale (HAMD), life events scale, and social support rating scale (SSRS) to identify the correlation between anxiety, depression scores, and social stress and social support. The Japanese Orthopedic Association (JOA) was utilized to evaluate the rehabilitation outcomes of the patients and to analyze the effects of anxiety and depression scores on rehabilitation. According to the scores of HAMD and HAMA in all patients, the prevalence of depression in patients was 39% (39/100), and the prevalence of anxiety was 49% (49/100). Patients were categorized into non-depression (n = 61) and depression (n = 39), non-anxiety (n = 51), and anxiety (n = 49) groups. Statistically significant differences in gender, occupation, Pittsburgh Sleep Quality Index (PSQI) score, and monthly family income were observed between the non-depression and depression groups (P < 0.05). A significant difference in occupation and PSQI score was found between the non-anxiety and anxiety groups. Both depression (r = 0.207, P = 0.038) and anxiety scores (r = 0.473, P < 0.001) were significantly and positively correlated with negative life events. The difference in negative life event scores as well as SSRS total and item scores was statistically significant between patients in the non-depression and depression groups (P < 0.05). The difference between the non-anxiety and anxiety groups was statistically significant (P < 0.05) in the negative life event scores as well as the total SSRS scores. Additionally, JOA scores were significantly lower in both anxious and depressed patients. Young patients with thoracolumbar fractures are prone to anxiety and depression. Patients' anxiety and depression are closely associated with social pressure, which reduces the life pressure of young patients with thoracolumbar fractures, enhances social support, and improves the psychology of anxiety and depression., which affects patients' recovery.

Background:Children with depression frequently experience sleep disorders, which may significantly impact their cognitive function and quality of life. Investigating the relationship between sleep quality, cognitive performance, and quality of life in this population is essential for developing targeted interventions.Methods:From February 2022 to January 2024, 78 children diagnosed with depression at the Hunan Children's Hospital were assessed using the 17-item Hamilton Rating Scale for Depression (HAMD-17). Based on their HAMD-17 scores, participants were categorized into mild, moderate, and severe depression groups, with 26 children in each group. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI), cognitive function was assessed via the Wisconsin Card Sorting Test (WCST), and quality of life was measured using the 36-item Short Form Health Survey (SF-36). Correlations between PSQI, WCST, and SF-36 scores were analyzed for all groups.Results:Compared to the control group, the depression group of children with depression had significantly higher levels of depression and significantly lower levels of quality of life, sleep quality, and cognitive function (p < 0.05). Further analysis showed that sleep quality in children with depression worsened with increasing severity of depression, as evidenced by a gradual increase in PSQI scores (p < 0.05). Cognitive function assessment (WCST scores) revealed that with increasing depression severity, the number of classifications completed by children decreased, while the total number of errors, perseverative errors, and non-perseverative errors all significantly increased (p < 0.001). Quality of life assessment (SF-36 scores) showed that increasing depressive symptoms significantly affected the quality of life of children, with an overall significant decrease in scores (p < 0.05). Correlation analysis further revealed that cognitive function was closely related to sleep quality in children with depression. Specifically, the number of classifications completed was significantly negatively correlated with PSQI scores (r = –0.5534, p < 0.0001), while the total number of errors, perseverative errors, and non-perseverative errors were all significantly positively correlated with PSQI scores (r = 0.6769, 0.6988, and 0.6937, respectively, all p < 0.0001). In addition, four dimensions of quality of life (social function, physical function, role function, and cognitive function) were all significantly negatively correlated with sleep quality (r = –0.6866, –0.5309, –0.5823, –0.5698, respectively, all p < 0.0001).Conclusion:Poor sleep quality in children with depression is positively correlated with poor cognitive function and poor quality of life. Routine evaluation of sleep disturbances in this population can provide critical insights for timely intervention and management.

Sleep disturbances are very common in patients with rotator cuff injury. Improvement of sleep quality in these patients can be considered a significant factor for healing in conjunction with surgery. The primary objective of this prospective study was to evaluate changes in sleep quality after surgery in patients with rotator cuff repair by analyzing the PSQI (Pittsburgh Sleep Quality Index) score. The secondary aim was to evaluate the improvement in quality of life in terms of functional limitations and shoulder pain after surgery. Fifty-eight patients with rotator cuff tears treated by arthroscopic surgery were included. All the patients completed the PSQI, the 36-Item Short Form Survey (SF-36), the Simple Shoulder Test (SST), the American Shoulder and Elbow Surgeons Shoulder Score (ASES), the Oxford Shoulder Score (OSS) and the Constant-Murley Score (Constant) before and at one, three and six months after surgery. Overall improvement in all the scores analyzed (p < 0.001) was found. Preoperative and postoperative PSQI scores correlated with SF-36, SST, ASES and Constant scores at each follow-up. Preoperative and one-month postoperative OSS correlated with the PSQI score. Using the Friedman test, we found an overall improvement in all score analyses (p < 0.001). The results prove that after rotator cuff repair, sleep disturbances improve three to six months after surgery improving the quality of life of these patients.

The impact of hospitalization on sleep in late-life is underexplored. The current study examined patterns of sleep quality before, during, and following hospitalization, investigated predictors of sleep quality patterns, and examined predictors of classification discordance between two suggested clinical cutoffs used to demarcate poor/good sleep. This study included older adults (n = 163; mean age 79.7 ± 6.9 years, 31% female) undergoing inpatient post-acute rehabilitation. Upon admission to inpatient post-acute rehabilitation, patients completed the Pittsburgh Sleep Quality Index (PSQI) retrospectively regarding their sleep prior to hospitalization. They subsequently completed the PSQI at discharge, and 3 months, 6 months, 9 months, and 1 year post discharge. Patient demographic and clinical characteristics (pain, depression, cognition, comorbidity) were collected upon admission. Using latent class analysis methods, older adults could be classified into (1) Consistently Good Sleepers and (2) Chronically Poor Sleepers based on patterns of self-reported sleep quality pre-illness, during, and up to 1 year following inpatient rehabilitation. This pattern was maintained regardless of the clinical cutoff employed (> 5 or > 8). Logistic regression analyses indicated that higher pain and depressive symptoms were consistently associated with an increased likelihood of being classified as a chronic poor sleeper. While there was substantial classification discordance based on clinical cutoff employed, no significant predictors of this discordance emerged. Clinicians should exercise caution in assessing sleep quality in inpatient settings. Alterations in the cutoffs employed may result in discordant clinical classifications of older adults. Pain and depression warrant detailed considerations when working with older adults on inpatient units when poor sleep is a concern.

Background:Impaired quality of life (QOL) is an issue considered in patients with multiple sclerosis (MS). There are limited studies evaluated poor sleep and impaired QOL in these cases. The aim of this study was to evaluate quality of sleep and poor sleep in Iranian patients with MS and the relationship between Pittsburgh Sleep Quality Index (PSQI) score and QOL subscales.Methods:One-hundred and fourteen cases with definite MS due to MC Donald criteria enrolled who referred to MS clinic of Sina and Imam Hospitals were enrolled. Patients asked to fill valid and reliable Persian versions of PSQI and MSQOL-54 questionnaires. Demographic data (sex, age), duration of the disease, education level and marital status were extracted from patients medical files. After neurological examination, Kurtzke Expanded Disability Status Scale (EDSS) was assessed.Results:Ninety-one (79.8%) patients were female and 23 (20.2%) were male. Mean age and EDSS was 34.7 ± 9.6 years and 2.3 (median: 1.5). Mean PSQI score and overall QOL score were 4.5 and 57. Sixty-seven cases were good sleepers (PSQI ≤ 5) and 47 were poor sleepers (PSQI > 5). Except five subscales, all others were significantly different between good and poor sleepers. There was significant positive correlation between PSQI score and EDSS (r = 0.24, P < 0.001) and negative correlation between EDSS and physical and mental health (r = −0.48, P < 0.001, r = −0.43, P < 0.001). EDSS and total PSQI score were independent predictors of physical and mental health composites.Conclusions:Sleep quality as a factor which affecting QOL should be considered and evaluated properly in MS patients.

Sedentary lifestyles among adolescents have been associated with various health concerns, particularly regarding psychological well-being and sleep quality. However, the associative relationship between sedentary behavior and these health outcomes remains unclear. This study aims to clarify the association between sedentary lifestyle and psychological and sleep health among adolescents through propensity scores matching analysis. A total of 2,846 adolescents from three universities participated in the study. Data on demographics, exercise habits, eating patterns, sedentary behavior, psychological health, sleep health, self-esteem, and social support were collected. A sedentary lifestyle was defined as sitting for more than six hours daily. Psychological health was assessed using the Generalized Anxiety Disorder-7 (GAD-7) scale for anxiety and the Patient Health Questionnaire-9 (PHQ-9) for depression, while sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Self-esteem was evaluated with the Self-Esteem Scale (SES), and social support was measured using the Social Support Rating Scale (SSRS). Propensity scores matching analysis was employed to investigate the associative relationship between sedentary lifestyles and the measured outcomes. Prior to propensity scores matching, significant differences were observed in baseline characteristics between participants with and without sedentary lifestyles, including gender (P=0.01), dietary habits (P<0.001), mobile device usage (P<0.001), stress events (P=0.001), physical activity (P<0.001), and chronic diseases (P=0.024). Participants with sedentary lifestyles exhibited higher scores on the GAD-7 (P<0.001), PHQ-9 (P<0.001), and PSQI (P<0.001), along with lower self-esteem (SES, P=0.041) and social support (SSRS, P<0.001) compared to their more active counterparts. Following propensity scores matching, no significant differences in baseline characteristics were found between the two groups (All P>0.282), indicating a successful matching process. Post-matching analysis revealed that individuals with sedentary lifestyles had significantly higher GAD-7 (P=0.002), PHQ-9 (P=0.013), and PSQI scores (P=0.001) than those without sedentary lifestyles, while no significant differences were found in SES (P=0.755) and SSRS (P=0.676). Our findings indicate that a sedentary lifestyle is associated with poorer psychological health and sleep quality among adolescents, even after controlling for various demographic and lifestyle factors. These results underscore the importance of promoting physical activity and reducing sedentary behavior in this population to enhance their overall well-being.

Objective To investigate the improving effect of nursing intervention based on Roy adaptation model on sleep condition of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) . Methods A total of 118 patients with AECOPD admitted to Department of Respiratory Medicine, the First Affiliated Hospital of Zhengzhou University from July 2016 to May 2018 were selected by stratified sampling method. They were divided into observation group and control group according to random number table method, with 59 cases in each group. The control group was given conventional nursing care, while the observation group was given nursing intervention based on Roy adaptation model on the basis of the conventional nursing care. Before and after the intervention, Self-rating Anxiety Scale (SAS) , Self-rating Depression Scale (SDS) , Social Support Rating Scale (SSRS) , the Pittsburgh Sleep Quality Index (PSQI) were used to evaluate negative emotions, social support, sleep quality and quality of life of the patients. After the intervention, the nursing satisfaction of the two groups was compared. Results After 2 weeks of intervention, the scores of SAS (26.33±4.72) and SDS (43.17±6.29) of the observation group were lower than those before intervention; the score of SSRS (34.21±6.95) was higher than that before intervention, and the observation group were all better than the control group, the differences were statistically significant (P<0.05) . After intervention, the PSQI scores of the observation group (5.01±1.27) and the control group (6.33±1.74) were statistically different (t=4.707, P<0.05) . The overall satisfaction of the patients in the observation group was 93.33% and that in the control group was 77.97%. There was a significant difference between the two groups (P<0.05) . Conclusions Compared with conventional nursing, nursing intervention based on Roy adaptation model can better improve the negative emotions and social support of AECOPD patients, and improve sleep and nursing satisfaction. Key words: Lung disease, chronic obstructive; Quality of life; Roy adaptation mode; Quality of sleep

To explore the effect of social support and coping style on depression in patients on CAPD in Southern China. The patients undergoing CAPD therapy for more than 3 months were recruited from Jan 1 to May 31, 2009. The Beck Depression Inventory-II (BDI-II), Social Support Rating Scale, Medical Coping Modes Questionnaire, and Medical Outcomes Study Short Form (SF-36) were used to evaluate depression, social support, coping style, and quality of life (QoL), respectively. Of the 191 recruited patients, 65 patients (34.0 %) suffered from depression, with a BDI-II score of 23.8 ± 8.4. The average score of QoL (44.9 ± 13.9 vs. 64.7 ± 14.2, p < 0.001), social support (37.9 ± 7.2 vs. 42.1 ± 7.3, p < 0.001), and "confrontation" coping style (17.2 ± 3.9 vs. 18.8 ± 3.8, p = 0.006) in depressed patients was significantly lower than those in non-depressed patients, respectively. While the depressed patients had significantly higher score of "acceptance-resignation" coping style (12.9 ± 2.5 vs. 10.4 ± 3.5, p < 0.001) compared with those of non-depressed patients. Univariate analysis showed that the BDI-II score was negatively associated with social support (r = -0.284, p < 0.001) and "confrontation" (r = -0.180, p = 0.013), but positively associated with "acceptance-resignation" (r = 0.482, p < 0.001). Logistic regression analysis revealed that age (OR = 0.971, p = 0.038), female sex (OR = 2.211, p = 0.039), diabetes mellitus (OR = 3.046, p = 0.015), long PD duration (OR = 1.021, p = 0.020), fatigue (OR = 2.500, p = 0.032), high Pittsburgh Sleep Quality Index (PSQI) score (OR = 1.143, p = 0.001), low social support (OR = 0.945, p = 0.046), and high "acceptance-resignation" (OR = 1.096, p = 0.020) were independently associated with depression. There was a high prevalence of depression in CAPD patients. Age, female sex, diabetes mellitus, long PD duration, fatigue, sleep disturbance, low social support, and high "acceptance-resignation" coping style were independently associated with depression.

ObjectivesTo compare the effects of aerobic and resistance training on sleep quality and Quality of Life (QoL) in older adults with sleep disturbance.Material and MethodsAn experimental study was conducted on 36 subjects with sleep disturbance of age ≥60 years. The subjects were assessed for sleep quality and quality of life by using Pittsburgh sleep quality index (PSQI) and WHOQOL-BREF questionnaires. Those who scored PSQI>5 were included in the study and were divided into two groups A and B. Both the groups A and B received warm up and cool down with, aerobic training for group A and resistance training for group B, respectively. The training was given for 40-45 minutes a day, 4 days/week for 4 weeks. Base line and post treatment PSQI and WHOQOL-BREF scores were recorded.ResultsRepeated measure ANOVA with Post hoc analysis was done using SPSS software version 16.0. Analysis revealed significant improvement (p<0.05) in PSQI scores within both groups but not between the groups. Post hoc analysis for sleep efficiency, sleep onset latency and sleep duration showed better improvement in resistance training group. Further QoL showed no significant difference between groups for all domains except for domain 3, i.e., social relationship which was found to be better in aerobic training group.ConclusionResistance and aerobic training improves both quality of sleep and quality of life. But resistance training has better effect on sleep efficiency, sleep onset latency and sleep duration. As both the training has beneficial effects on sleep quality and quality of life. So, either form of training can be used according to the individuals’ functional and medical status to improve sleep quality.

Restless Legs Syndrome as a Cause of Sleep Disturbances in Cancer Patients Receiving Chemotherapy

Multiple sclerosis (MS) is a chronic disease characterized by relapses and remissions, causing physical disability and affecting individuals psychosocially. In this study, we aimed to assess anxiety and depression levels, sleep, and quality of life in MS patients. The study included 66 participants, 30 healthy controls, and 36 patients diagnosed with MS. All participants were administered the Sociodemographic and Clinical Data Form, Multiple Sclerosis Quality of Life Instrument (MSQOL-54), Pittsburgh Sleep Quality Index (PSQI), Expanded Disability Status Scale (EDSS), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI). The PSQI, EDSS, BDI, and BAI scores of MS patients were found to be significantly higher, while the MSQOL-54 score was considerably lower than the healthy control group (p<0.001). In the patient group, there was a positive correlation between PSQI score and BDI (r=0.599, p<0.001) and BAI (r=0.633, p<0.001), while there was a negative correlation between PSQI and MSQOL-54 (r=0.705, p<0.001) and the duration of MS diagnosis (r=-0.364, p=0.029). A positive correlation was found between the EDSS score and BDI (r=0.401, p=0.015) and the number of hospitalizations (r=0.566, p<0.001). There was a significant negative correlation observed between MSQOL-54 and BDI (r=-0.807, p<0.001) as well as BAI (r=-0.834, p<0.001). There is a significant positive relationship between BDI and BAI (r=0.828, p<0.001). Our research revealed that individuals diagnosed with multiple sclerosis exhibit elevated levels of anxiety and depression symptoms when compared to a healthy control group. Additionally, they tend to experience lower sleep quality and overall quality of life. The provision of necessary psychiatric interventions to these patients following their diagnosis can enable them to accept the disease and actively participate in treatment, thereby positively impacting their quality of life.

Objective To understand the status quo of sleep quality and social support of medical staffs in Wuhan who fighting against the epidemic of novel coronavirus pneumonia(COVID-19),and explore the relationship between them. Methods A total of 135 medical staffs were investigated by the cluster sampling method. The Pittsburgh sleep quality index (PSQI),social support rating scale(SSRS) and self-designed demographic information questionnaire were used to investigate the 135 first-line medical staffs. Results The total score of social support was (41. 85 ± 7. 76 ) scores, the highest score was subjective social support [(22. 87±3. 99)scores],and the lowest was utilization [(7. 92 ±2. 04)scores];the total score of sleep quality was (8. 12±4. 17)scores, the highest score was sleep time [(1. 72±0. 92)scores], and the lowest was hypnotic drug [(O. 41± 0. 84) scores]. The total score of SSRS was negatively correlated with sleep quality in PSQI (r = —0. 222,P <0. 05) ;the two dimensions of subjective social support and utilization in SSRS,and the total score of SSRS were positively correlated with daytime dysfunction in PSQI (r = 0. 245, O. 244, 0.279, P< 0. 05), the total score of PSQI was negatively correlated with utilization in SSRS (r = — 0. 234, P <0. 05). Conclusion Social support of the medical staffs in Wuhan has an impact on their sleep quality. (English) [ABSTRACT FROM AUTHOR] 目的 了解武汉抗疫一线医护人员睡眠质量和社会支持的现状并探索两者之间的关系。方法 采用整群抽样法,应用匹兹堡睡眠指数量表(PSQI)、社会支持量表(SSRS)、自制一般情况调查表对135名抗 击新型冠状病毒肺炎(COVID-19)的临床一线医护人员的睡眠质量进行调查。结果 武汉抗疫一线医护人员 社会支持总分为(41.85±7.76)分,各维度中得分最高的是主观社会支持[(22.87±3.99)分],最低的是利用度 [(7.92±2.04)分];睡眠质量总分为(8.12±4.17)分,各维度中得分最高的是睡眠时间[(1.72±0.92)分],最 低的是催眠药物[(0.41±0.84)分]。SSRS总分与PSQI中的睡眠质量维度呈显著负相关(r=-0.222,P < 0.05);SSRS中的主观社会支持、利用度等2个维度及SSRS总分与PSQI中的日间功能障碍维度呈显著正相 关(r=0.245、0.244、0.279,P <0.05),PSQI总分与SSRS的利用度维度呈显著负相关(r=-0.234,P < 0.05)。结论 武汉抗疫一线医护人员的社会支持对其睡眠质量有影响。 (Chinese) [ABSTRACT FROM AUTHOR] Copyright of Journal of Modern Medicine & Health is the property of Journal of Modern Medicine & Health and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)