Objective To evaluate the effect of Otago exercise program (OEP) on fear of falling in central hemiplegia patients in communities. Methods We collected the clinical data of 61 central hemiplegia patients in the Department of Neurology of Pangang General Hospital from January to June 2014. They were randomly divided into treatment group (n=30) and control group (n=31) after discharge. The treatment group had OEP, while the control group had not. After 20 weeks of follow-up, we evaluated fall self-efficacy, balance and mobility of patients in the two groups. Results The OEP adherence rate was 73.3% for the treatment group. In the treatment group, modified fall efficacy scale (MFES) score and Berg balance scale (BBS) score were significantly higher than those before intervention (P<0.05); time up and go test (TUGT) score was significantly lower than that before intervention (P<0.05). In the control group, MFES score, BBS score and TUGT score were not significantly changed (P>0.05). After intervention, MFES score and BBS score of the treatment group were significantly higher than those of the control group (P<0.05), but TUGT score was not significantly different (P>0.05). Conclusion OEP for central hemiplegia patients after discharge can reduce fall self-efficacy and increase balance ability of the patients.
ObjectiveTo formulate the Chinese version of Fear of Progression Questionnaire-Short Form/Caregiver Version (FoP-Q-SF/C) and examine the reliability and validity of the scale.MethodsA questionnaire survey of FoP-Q-SF/C was conducted among the caregivers of melanoma out-patients in West China Hospital of Sichuan University from June 2019 to March 2020. Convenient sampling method was adopted. The validity and reliability of the scale were analyzed.ResultsA total of 247 caregivers of melanoma out-patients were investigated by the FoP-Q-SF/C, and 101 valid questionnaires were finally collected. The Cronbach’s α of the FoP-Q-SF/C scale was 0.919, and the Guttman Split-Half coefficient was 0.906. Using exploratory factor analysis to extract 3 common factors, the cumulative explainable total variation was 73.964%. The model fit was as follows: chi-square/degree of freedom was 1.950, standardized root mean square residual was 0.067, goodness of fit index was 0.859, incremental fit index was 0.939, comparative fit index was 0.938, Tucker-Lewis index or non-normed fit index was 0.918, and the root-mean-square error of approximation was 0.097.ConclusionsThe FoP-Q-SF/C scale formulated in this study is divided into three dimensions, which has good reliability and validity, meanwhile, it is relatively simple and can be used to clinically screen melanoma caregivers’ FoP-Q-SF/C levels. However, the application of this scale in other diseases still needs further testing.
Cancer is a disease that incidence rate, disability rate and mortality rate are high all over the world. It brings great physical and mental pain to patients. Cancer patients are in a life-threatening state of disease for a long time, which will produce fear of progression (FoP). FoP is a psychological state in which fear of disease may recur or progress. As early as the 1980s, foreign countries began the psychological research on the FoP of cancer patients. They found that this fear really exists in cancer patients and is affected by many factors. This paper reviews the concept of FoP and the related factors affecting FoP in cancer patients. The purpose is to provide reference for clinical early evaluation and reducing the FoP of cancer patients and formulating corresponding nursing measures.
ObjectiveTo systematically review the efficacy of non-pharmacological interventions to reduce fear of childbirth. MethodsThe Cochrane Library, PubMed, EMbase, Web of Science, CNKI, WanFang Data, VIP, and CBM databases were electronically searched to collect randomized controlled trials (RCTs) of the efficacy of non-pharmacological interventions to reduce fear of childbirth from inception to December 2021. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies; then, a network meta-analysis was performed using Stata 15.0 software. ResultsA total of 19 RCTs involving 3 409 patients were included. Ten non-pharmacological interventions (prenatal education, scenario-based health education, psychological guidance, yoga training, hypnosis, mobile learning education, cognitive behavioral therapy, physical relaxation guidance, breathing guidance, and usual care) were included. The results of the reticulated meta-analysis of the Wijma Delivery Expectancy Questionnaire (W-DEQ-A) showed that the rankings of the interventions were as follows: prenatal education > yoga training > cognitive behavioral therapy > situational simulation health education > psychological guidance > physical relaxation guidance > conventional care. The results of the Wijma Experience of Childbirth Questionnaire (W-DEQ-B) mesh meta-analysis showed that the rankings of the interventions were as follows: mobile learning education > prenatal education > scenario-based health education > cognitive behavioral therapy > breathing instruction > hypnosis > psychological instruction > physical relaxation instruction > usual care. ConclusionThe current evidence suggests that prenatal education, mobile learning education, situational simulation health education, and yoga training may be effective interventions in improving maternal fear of childbirth. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
ObjectiveTo construct and verify the nomogram prediction model of pregnant women's fear of childbirth. MethodsA convenient sampling method was used to select 675 pregnant women in tertiary hospital in Tangshan City, Hebei Province from July to September 2022 as the modeling group, and 290 pregnant women in secondary hospital in Tangshan City from October to December 2022 as the verification group. The risk factors were determined by logistic regression analysis, and the nomogram was drawn by R 4.1.2 software. ResultsSix predictors were entered into the model: prenatal education, education level, depression, pregnancy complications, anxiety and preference for delivery mode. The areas under the ROC curves of the modeling group and the verification group were 0.834 and 0.806, respectively. The optimal critical values were 0.113 and 0.200, respectively, with sensitivities of 67.2% and 77.1%, the specificities were 87.3% and 74.0%, and the Jordan indices were 0.545 and 0.511, respectively. The calibration charts of the modeling group and the verification group showed that the coincidence degree between the actual curve and the ideal curve was good. The results of Hosmer-Lemeshow goodness of fit test were χ2=6.541 (P=0.685) and χ2=5.797 (P=0.760), and Brier scores were 0.096 and 0.117, respectively. DCA in modeling group and verification group showed that when the threshold probability of fear of childbirth were 0.00 to 0.70 and 0.00 to 0.70, it had clinical practical value. ConclusionThe nomogram model has good discrimination, calibration and clinical applicability, which can effectively predict the risk of pregnant women's fear of childbirth and provide references for early clinical identification of high-risk pregnant women and targeted intervention.
Fear emotion is a typical negative emotion that is commonly present in daily life and significantly influences human behavior. A deeper understanding of the mechanisms underlying negative emotions contributes to the improvement of diagnosing and treating disorders related to negative emotions. However, the neural mechanisms of the brain when faced with fearful emotional stimuli remain unclear. To this end, this study further combined electroencephalogram (EEG) source analysis and cortical brain network construction based on early posterior negativity (EPN) analysis to explore the differences in brain information processing mechanisms under fearful and neutral emotional picture stimuli from a spatiotemporal perspective. The results revealed that neutral emotional stimuli could elicit higher EPN amplitudes compared to fearful stimuli. Further source analysis of EEG data containing EPN components revealed significant differences in brain cortical activation areas between fearful and neutral emotional stimuli. Subsequently, more functional connections were observed in the brain network in the alpha frequency band for fearful emotions compared to neutral emotions. By quantifying brain network properties, we found that the average node degree and average clustering coefficient under fearful emotional stimuli were significantly larger compared to neutral emotions. These results indicate that combining EPN analysis with EEG source component and brain network analysis helps to explore brain functional modulation in the processing of fearful emotions with higher spatiotemporal resolution, providing a new perspective on the neural mechanisms of negative emotions.
ObjectiveThis study aimed to systematically review the quality of psychometric properties and methodological quality of the Chinese versions of fear of falling assessment tools for the elderly, providing evidence-based guidance for medical staff in selecting high-quality assessment tools. MethodsWe systematically searched CNKI, WanFang Data, VIP, CBM, PubMed, Embase, and Web of Science databases for studies related to the evaluation of psychometric properties and methodological quality of fear of falling assessment tools for the elderly. The search spanned from the inception of the databases to January 19, 2024. Two researchers independently screened literature and extracted data using the consensus-based standards for the selection of health measurement instruments. The COSMIN risk of bias checklist and quality criteria were employed to evaluate instrument measurement characteristics and formulate final recommendations. ResultsFifteen studies involving 11 Chinese versions of fear of falling assessment tools for the elderly were included. None of the studies reported measurement error, cross-cultural validity, or responsiveness. Due to insufficient or uncertain content validity and low or below-quality evidence, all 11 tools received a recommendation of level B. ConclusionAmong the 11 instruments, the Chinese version of IFES demonstrates the most balanced measurement characteristics, along with good reliability and validity. However, further verification of other measurement characteristics of this instrument is warranted.