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1.
J Nurs Manag ; 29(7): 2123-2131, 2021 Oct.
Article in English | MEDLINE | ID: mdl-33908108

ABSTRACT

AIM: To explore the sleep quality among Chinese nurses and identify the association between night shift and sleep quality and health. BACKGROUND: Chinese nurses have many night shifts; the effect of it regarding nurses' sleep quality and health is still not being explored. METHODS: This was a cross-sectional study. There were 3,206 nurse participants. The participants self-completed a sociodemographic questionnaire, the Pittsburgh Sleep Quality Index (PSQI) and the Cornell Medical Index (CMI). RESULTS: Night shift nurses demonstrated relatively worse sleep quality (55.1%) and more health problems (20.7%). Night shift work was significantly associated with poor sleep quality (ß = 0.96, confidence interval [CI] = 0.67-1.26) and poor health (ß = 2.01, CI = 0.15-3.88). Except for sleep medication (ß = 0.02, CI = -0.01, 0.05) and psychological health (ß = 0.38, CI = -0.27, 1.03), night shift work was significantly associated with other PSQI domains and physical health. CONCLUSION: Night shift work was a risk factor for nurses' sleep quality and health. Night shift nurses have more sleep disorders and physical health problems. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse managers should pay attention to the impact of shift work on nurses' sleep quality and health and reform the rotating shift work system to improve nurses' occupational health.


Subject(s)
Nurses , Work Schedule Tolerance , China , Cross-Sectional Studies , Humans , Sleep , Surveys and Questionnaires
2.
World J Clin Cases ; 8(15): 3209-3217, 2020 Aug 06.
Article in English | MEDLINE | ID: mdl-32874975

ABSTRACT

BACKGROUND: Obesity is an important factor to cause the obstructive sleep apnea-hypopnea syndrome (OSAHS). Higher body mass index (BMI) often results in more severe OSAHS. Currently, the common measures for controlling the weight mainly include diet control, increase exercise and so on. Motivational interviewing (MI) could explore the patient's internal state and make the patient realize his/her ambivalence, resulting in the change in his/her behavior. This process emphasizes respecting the patient's autonomy. AIM: To evaluate the effect of MI on the weight control of patients with OSAHS. METHODS: A randomized controlled study was conducted in 100 obese OSAHS patients undergoing surgical treatment at Shengjing Hospital of China Medical University. The patients were divided into an intervention group and a control group, with 50 cases each. The control group was given routine health education after the operation; in addition to the regular health education, the intervention group was given MI according to a predetermined plan. Obesity-related indicators, postoperative complications, and the sleep status of both groups were evaluated before and 6 mo after the intervention. RESULTS: Patients in the intervention group had significantly improved body weight, BMI, and waist and neck circumferences compared with patients in the control group (P < 0.05). Regarding complications at 6 mo after operation, the incidence of cough and reflux in patients in the intervention group was significantly lower than that in the control group (P < 0.05). In addition, the Epworth Sleepiness Scale and Self-Rating Scale of Sleep scores of patients in the intervention group were significantly lower than those in the control group, and the sleep status of patients in the intervention group was improved (P < 0.05). CONCLUSION: MI intervention has a significant advantage over postoperative routine health education. It can greatly change the lifestyle, further control the postoperative weight, reduce the occurrence of complications, improve the quality of sleep, and improve long-term postoperative efficacy in OSAHS patients.

3.
Nutr Metab Cardiovasc Dis ; 30(7): 1094-1105, 2020 06 25.
Article in English | MEDLINE | ID: mdl-32451273

ABSTRACT

BACKGROUND AND AIMS: The relationships between dietary protein intake and risk of all-cause, cardiovascular disease (CVD), and cancer mortality are still unclear. We conducted a systematic review with meta-analysis of cohort studies to summarize the evidence. METHODS AND RESULTS: We searched PubMed and Web of Science for relevant studies through February 2020. The associations of total, animal, and plant proteins with all-cause, CVD, and cancer mortality were evaluated. Study-specific relative risks (RR) were pooled using the fixed effect model when no significant heterogeneity was detected; otherwise the random effect model was employed. Twelve cohort studies were eligible for the study. Increased total protein showed no clear association with risk of all-cause, CVD, and cancer mortality. In the stratified analysis by protein sources, higher plant protein intake was associated with a reduced risk of all-cause mortality (highest vs lowest intake: RR = 0.92; 95% CI: 0.88, 0.96; each 3% increment of intake: RR = 0.97; 95% CI: 0.94, 0.99), and may be associated with a reduced risk of CVD mortality (highest vs lowest intake: RR = 0.90; 95% CI: 0.80, 1.01; each 3% increment of intake: RR = 0.95; 95% CI: 0.91, 0.99). Moreover, higher intake of animal protein may be associated with an increased risk of CVD mortality (highest vs lowest intake: RR = 1.11; 95% CI: 1.01, 1.22; each 3% increment of intake: RR = 1.02; 95% CI: 0.98, 1.06). CONCLUSION: This study demonstrates that higher plant protein intake is associated with a reduced risk of all-cause and CVD-related mortality. Persons should be encouraged to increase their plant protein intake to potentially decrease their risk of death.


Subject(s)
Cardiovascular Diseases/prevention & control , Diet, Healthy , Neoplasms/prevention & control , Plant Proteins, Dietary/administration & dosage , Risk Reduction Behavior , Adult , Aged , Aged, 80 and over , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/mortality , Cause of Death , Female , Humans , Male , Middle Aged , Neoplasms/diagnosis , Neoplasms/mortality , Nutritive Value , Protective Factors , Recommended Dietary Allowances , Risk Assessment , Risk Factors , Time Factors
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