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Objective:To investigate the current status of coping behaviors among caregivers of children with disabilities in the context of rehabilitation and its influencing factors. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 358 caregivers (parents) of children with disabilities were surveyed in Shanghai. They were evaluated in the context of rehabilitation of children with disabilities with Coping Health Inventory for Parents (CHIP). Multiple linear stepwise regression analysis was used to explore the influencing factors. Results:The total score of CHIP was (106.00±23.45) and the average score of CHIP was (2.36±0.52). Among the caregiver factor, mothers (B = 7.607, 95%CI 2.477 to 12.737, P = 0.004), and caregivers who didn't need to care for others (B = 5.758, 95%CI 1.174 to 10.343, P = 0.014) reported higher CHIP score. Among the child factors, higher CHIP score was reported in caregivers who had more partners (B = 2.925, 95%CI 1.233 to 4.618, P < 0.001), participated in public space activities more frequently (B = 3.906, 95%CI 1.743 to 6.068, P < 0.001) and perceived changes in rehabilitation outcomes (B = -16.832, 95%CI -31.471 to -2.193, P = 0.024); CHIP score was lower in thoses of 3 to < 6 years old (B = -7.914, 95%CI -15.157 to -0.671, P = 0.032) and with intellectual disability children (B = -11.153, 95%CI -21.360 to -0.947, P = 0.032). Among the environmental factors, caregivers who perceived more friendly social attitude (B = 2.560, 95%CI 0.615 to 4.505, P = 0.010) reported higher CHIP score. Conclusion:It is proposed to learn the coping needs of caregivers of children with disabilities in the context of rehabilitation. The coping behaviors of caregivers are influenced by multiple factors, such as children's individual, caregivers and environment.
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Objective:To investigate the depression status of caregivers of children with disabilities and analyze the influencing factors. Methods:From August to September, 2020, a one-to-one interview was conducted using a convenience sampling method to determine the depression status of 334 caregivers of children with disabilities in Shanghai. Patient Health Questionnaire 9 Item (PHQ-9) was used to evaluate the depression status. The data were analyzed with univariate analysis from three aspects: caregiver, care recipient and environment. Then, the statistically significant variables were included in a dichotomous logistic regression. Results:The depression rate of 334 caregivers of children with disabilities was 35.9%. Among the caregiver factors, female caregivers had a higher risk of depression than male (OR = 2.193, 95%CI 1.131 to 4.254, P = 0.002). Among the care recipient factors, poor sleep quality (OR = 1.942, 5%CI 1.113 to 3.386, P < 0.05), emotional instability (OR = 17.456, 95%CI 2.534 to 120.240, P < 0.05) and types of disability (ORintelligence = 5.401, 95%CI 1.995 to 14.624; ORmental = 3.712, 95%CI 1.615 to 8.530; ORphysical = 2.913, 95%CI 1.330 to 6.379; P < 0.05) were associated with the depression of caregivers. Among the environmental factors, caregivers in rented housing had a higher risk of depression than those in owner-occupied housing (OR = 1.727, 95%CI 1.135 to 2.627, P < 0.05). Conclusion:The depression status of caregivers of children with disabilities is not optimistic, with higher rates of reported depression among female caregivers, caregivers in rented housing; caregivers of children with intellectual, mental and physical disabilities, and poor sleep quality and emotional instability.
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Objective:To investigate the anxiety state and its influencing factors for caregivers of children with disabilities. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 496 family caregivers of children with disabilities were surveyed in Shanghai. Crosstab was used to analyze the anxiety state and binary logistic regression analysis was used for identifying key factors. Results:There were 73.2% parents and 26.8% grandparents among 496 caregivers. Physical disabilities accounted most (26.0%) in the children. About 35.1% caregivers reported their anxiety state, and more than 10% reported moderate to severe anxiety. The results of logistic regression analysis showed that grandfather reported 0.318 times anxiety to mother (OR = 0.318, 95%CI 0.113 to 0.900, P = 0.031). Sleep problems (OR = 1.713, 95%CI 1.046 to 2.805, P = 0.032) and emotional functioning (ORgenerally = 0.057, 95%CI 0.009 to 0.340, P = 0.002; ORstable = 0.031, 95%CI 0.005 to 0.205, P < 0.001) of children were associated with the rate of caregiver-reported anxiety. Among family environment factors, monthly per capita household income (OR5000-< 10000 Yuan = 0.463, 95%CI 0.236 to 0.909, P = 0.025; OR≥ 10,000 Yuan = 0.325, 95%CI 0.160 to 0.660, P = 0.002) and housing status (OR = 0.356, 95%CI 0.208 to 0.608, P < 0.001) were associated with the rate of caregiver-reported anxiety. Among social environment factors, caregivers who were satisfied with current accessibility reported lower rate of anxiety (ORsatisfied = 0.136, 95%CI 0.031 to 0.602, P = 0.009). Conclusion:The anxiety state of caregivers of children with disabilities is higher than that of the general population. When caregivers are caring for a child with sleep problem or emotional issue, have low household income, or dissatisfied with the barrier-free environment, they may face higher risk of anxiety.
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Objective:To explore the quality of life of caregivers of children with disabilities and its influencing factors. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 496 family caregivers of children with disabilities were surveyed in Shanghai. The 12-item Short-form Health Survey (SF-12) was used to measure the quality of life of 496 caregivers, and multiple linear regression was performed to analyze the related factors. Results:The score of physical component summary (PCS) of caregivers was (51.67±8.11), and the score of mental component summary (MCS) was (42.10±12.66). The scores of PCS were lower in caregivers with children aged 6 to 18 years (B = -1.783, 95%CI -3.279 to -0.287, P = 0.020), children with emotional instability (B = 2.719, 95%CI 1.254 to 4.184, P < 0.001), female caregivers (B = -3.765, 95%CI -6.578 to -0.953, P = 0.009), and caregivers who were relatively dissatisfied with the policy (B = 1.973, 95%CI 0.367 to 3.578, P = 0.016); and were higher in caregivers with children with speech disabilities (B = 3.463, 95%CI 0.053 to 6.873, P = 0.047). The types of disabilities of children (Bhearing = 9.465, 95%CI 5.107 to 13.823, P < 0.001; Bundetermined = 5.999, 95%CI 1.558 to 10.441, P = 0.008), playmates of children (B = 2.626, 95%CI 0.352 to 4.901, P = 0.024), education level of caregivers (Bhigh middle school = -4.701, 95%CI -8.028 to -1.374, P = 0.006; Bhigh school = -3.610, 95%CI -6.604 to -0.615, P = 0.018), family size (B = 2.616, 95%CI 0.479 to 4.753, P = 0.017) and per capita monthly income (B < 5000 Yuan= -6.572, 95%CI -9.136 to -4.008, P < 0.001; B5000 to < 10000 Yuan = -4.932, 95%CI -7.544 to -2.319, P < 0.001) were associated with the scores of MCS. Conclusion:The quality of life, especially the mental health, of caregivers of children with disabilities is poor. The influencing factors cover multiple dimensions such as caregivers, children, family and social environment.
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Objective:To explore the current status of the quality of life of children with disabilities and its influencing factors. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 285 family caregivers of children with disabilities were enrolled in Shanghai. The EuroQol-5 Dimension Questionnaire Youth Version (EQ-5D-Y) was used to measure the quality of life of 285 children with disabilities. The impact of individual factors, caregiver factors, and environmental factors (family factors and social factors) on children's quality of life were analyzed using multiple linear stepwise regression analysis. Results:The score of Visual Analog Scale (VAS) was (71.66±22.33). The quality of life were poorer for children with physical disabilities (B = -13.623, 95%CI -25.282 to -1.965, P = 0.022) or multiple disabilities (B = -14.911, 95%CI -27.445 to -2.377, P = 0.020), combined diseases (B = -8.995, 95%CI -14.780 to -3.210, P = 0.002), emotional instability (B = -4.414, 95%CI -7.433 to -1.395, P = 0.004), poor partnerships (B = 4.965, 95%CI 1.748 to 8.181, P = 0.003), no pre-school education (B = -7.757, 95%CI -12.954 to -2.561, P = 0.004) and grandparents as the main caregiver (B = -7.999, 95%CI -14.288 to -1.710, P = 0.013). Conclusion:The quality of life for children with disabilities is relatively poor and influenced by multiple factors such as children's individual, caregivers, and environment. The main influencing factors are individual factors and caregiver factors.
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Objective:To investigate the care needs and influencing factors for caregivers of children with disabilities. Methods:From December, 2019 to January, 2020, and August to September, 2020, a total of 496 family caregivers of children with disabilities were surveyed in Shanghai. The Care Needs Assessment Tool for Children with Disabilities was used to measure the care needs rates and satisfaction, and multiple linear regression was performed to analyze the related factors. Results:The rate of total need was 71.8%, which was high in the information support (83.7%), spiritual support (75.9%) and financial support (74.1%), and was at an intermediate level in alternative service support (62.9%) and professional support (62.2%). The satisfaction of total need was 39.4%, which was at a intermediate level in the spiritual support (50.8%) and professional support (45.5%), and was at a low level in alternative service support (32.8%), financial support (32.3%) and information support (30.3%). The caregivers needed less support for thoses with higher public policy satisfaction (B = -3.252, 95%CI -5.370 to -1.134, P = 0.003) and the children with vision and speech disability, and undetermined disability (Bvision disability= -12.160, 95%CI -21.976 to -2.344, P = 0.015; Bspeech disability= -12.754, 95%CI -22.583 to -2.925, P = 0.011; Bundetermined disability= -16.553, 95%CI -24.714 to -8.392, P < 0.001), while mothers (B = 9.071, 95%CI 4.293 to 13.848, P < 0.001) needed more support than grandparents. The caregivers with higher public policy satisfaction (B = 7.392, 95%CI 5.523 to 9.262, P < 0.001), the children with vision disability, hearing disability and speech disability (Bvision disability= 8.612, 95%CI 0.081 to 17.144, P = 0.048; Bhearing disability= 8.686, 95%CI 1.920 to 15.451, P=0.012; Bspeech disability= 9.515, 95%CI 1.184 to 17.846, P = 0.025), lower barriers to social inclusion (B = 1.932, 95%CI 0.457 to 3.408, P = 0.010) and shorter average daily care hours (B = -4.123, 95%CI -6.247 to -1.999, P < 0.001) were more satisfactory for support. Conclusion:The care needs of children with disabilities are diverse, with the highest rate of need for information support and the lowest level of satisfaction. There is some variation in the care needs of children with different types of disabilities, family roles, average daily care hours and social environment characteristics.
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Objective:To explore the components and time characteristics of attentional bias in type 2 diabetic patients with different levels of self-management.Methods:The patients were first divided into higher,medium and lower self-management levels based on the Summary of Diabetes Self-care Activities Questionnaire (SDSCA),63 subjects in each group.A probe detection task was used to examine the impact of the different emotional pictures and stimulus presenting time on attentional bias.Results:When the stimuli were displayed for 500 ms,patients with higher self-management levels showed shorter reaction time to positive pictures than to negative pictures [(597.8 ± 185.5) ms vs.(626.0 ± 186.6) ms,P ＜ 0.01],and their scores of negative attentional bias [(-22.5 ± 79.0) ms,P ＜0.05] and negative orienting index were lower than 0[(-26.6 ±74.5) ms,P ＜0.01].The scores of negative disengaging index were significant higher than 0 in patients with medium self-management levels [(17.2 ± 60.3) ms,P ＜0.05],the scores of positive disengaging index were significant lower than 0 in patients with lower selfmanagement levels [(-22.6 ±74.8) ms,P ＜0.05]].When the stimuli were displayed for 1250 ms,the scores of positive orienting index were higher than 0 in patients with medium self-management levels [(14.9 ± 54.4) ms,P ＜ 0.05].Conclusion:It suggests that there are different characteristics of implicit cognitive processing in patients with different levels of self-management.
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<p><b>OBJECTIVE</b>To explore the clinical value of Lens culinaris agglutinin-reactive alpha-fetoprotein in the differentiation diagnosis between benign and malignant liver diseases, as well as the early warning of hepatocellular carcinoma.</p><p><b>METHODS</b>Alpha-fetoprotein variants from 300 patients with liver diseases were isolated with micro-spin column equipped lens culinaris agglutinin (LCA). The AFP and AFP-L3 were detected by the electrochemical luminescence (ECL) method, and the proportions of AFP-L3 were calculated.</p><p><b>RESULTS</b>The positive rates of AFP-L3 of HCC patients and chronic liver disease patients were 95% and 64% respectively, there were significant difference in two groups (chi2 = 134.72, P < 0.01), the HCC incidence rates of AFP-L3 positive and negative chronic liver disease patients showed significant difference (chi2 = 80.158, P < 0.01). there were no correlations between the proportion of AFP-L3 and AFP consistency(r = 0.046, P > 0.05).</p><p><b>CONCLUSIONS</b>The detection of AFP-L3 by micro-spin column assay show great clinical value in the differentiation diagnosis of benign and malignant liver diseases, as well as the early warning of hepatocellular carcinoma.</p>