Objective: To evaluate the neglect of left-behind children (LBC) in China. Method: Participants: Children separated from one or both parents for at least 6 months. Intervention: Trauma of separation. Comparison: Non-left-behind children (NLBC). Outcomes: Neglect rates and severity. Only case–control studies were included. Results: Thirteen studies were included; there were 18,688 LBC in a large sample ( N = 42,003) of children aged 0–18 years in China. The overall neglect rate was significantly higher in LBC compared to NLBC (odds ratio [ OR] = 1.58, 95% confidence interval [CI] = [1.50, 1.67], p < .01) based on the Chinese Rural Child Neglected Evaluation Model (CRCNEM) and the Parents–Child Conflict Tactics Scales ( OR = 1.44, 95% CI [1.35, 1.54], p < .01). The overall neglect severity in LBC was also significantly higher than NLBC ( SMD = 0.31, 95% CI [0.28, 0.33], p < .01). The same trends were observed in sex subgroups. With regard to subtypes, LBC were significantly more likely to have emotional neglect ( OR = 2.29, 95% CI [1.88, 2.78], p < .01), medical neglect ( OR = 1.79, 95% CI [1.62, 1.98], p < .01), physical neglect ( OR = 1.75, 95% CI [1.60, 1.91], p < .01), security neglect ( OR = 1.52, 95% CI [1.32, 1.75], p < .01), educational neglect ( OR = 1.50, 95% CI [1.31, 1.72], p < .01), and social neglect ( OR = 1.33, 95% CI [1.18, 1.51], p < .01). Furthermore, LBC had significantly higher severity in medical neglect ( SMD = 0.31, 95% CI [0.27, 0.35], p < .01), emotional neglect ( SMD = 0.28, 95% CI [0.24, 0.32], p < .01), physical neglect ( SMD = 0.24, 95% CI [0.18, 0.29], p < .01), security neglect ( SMD = 0.26, 95% CI [0.23, 0.29], p < .01), educational neglect ( SMD = 0.25, 95% CI [0.20, 0.31], p < .01), and social neglect ( SMD = 0.25, 95% CI [0.10, 0.40], p < .01). Conclusion: The neglect rates and severity in LBC in China were both significantly higher than those in NLBC. There was a strong association between neglect and LBC. Public policy changes are urgently needed to improve the dire situation and the well-being of the LBC.
BackgroundSensory gating deficits are a common feature of schizophrenia and may be indicative of higher-order psychopathological impairments. It has been proposed that incorporating subjective attention components into prepulse inhibition (PPI) measures may improve the accuracy of assessing these deficits. This study aimed to investigate the relationship between modified PPI and cognitive function, with a specific focus on subjective attention, to gain a better understanding of the underlying mechanisms of sensory processing deficits in schizophrenia.MethodsFifty-four unmedicated first-episode schizophrenia (UMFE) patients and 53 healthy controls participated in this study. The modified Prepulse Inhibition paradigm, including Perceived Spatial Separation PPI (PSSPPI) and Perceived Spatial Colocation PPI (PSCPPI), was used to evaluate sensorimotor gating deficits. Cognitive function was assessed in all participants using the Chinese version of the MATRICS Consensus Cognitive Suite Test (MCCB).ResultsUMFE patients had lower MCCB scores and deficient PSSPPI scores than healthy controls. PSSPPI was negatively correlated with total PANSS scores and positively correlated with the speed of processing, attention/ vigilance, and social cognition. Multiple linear regression analysis showed that the PSSPPI at 60 ms had a significant effect on attentional/ vigilance and social cognition, even after controlling for gender, age, years of education, and smoking.ConclusionThe study revealed notable impairments in sensory gating and cognitive function in UMFE patients, best reflected by the PSSPPI measure. Specifically, PSSPPI at 60 ms was significantly associated with both clinical symptoms and cognitive performance, suggesting that PSSPPI at 60 ms may capture psychopathological symptoms related to psychosis.
Abstrac Objectives This study aimed to preliminarily and exploratorily examine the associations between childhood trauma (CT), its subtypes, and personality traits among unaffected first-degree relatives (FDR, children, or siblings) of patients with major depressive disorder (MDD). Methods The study sample included three subgroups: MDD patients (N = 85), Patients’ FDRs (N = 35), and healthy control individuals (HC, N = 89). The Childhood Trauma Questionnaire (CTQ) was used to assess childhood trauma and the Eysenck Personality Questionnaire was used to assess personality traits. Results Significant differences were found in a few personality traits (p < 0.05 for extraversion, neuroticism, and psychoticism) among MDD patients, FDR, and HC, and there were no significant differences between HC and FDR. In the FDR group, compared with those without CT, participants with CT scored significantly higher for neuroticism (N) (F = 3.246, p = 0.046). CT was significantly associated with N, psychoticism (P) and Lie (L), and the strongest association was between CT total score and N. Significantly positive correlations were found between N and sexual abuse (SA) (r = 0.344, p = 0.043), emotional neglect (EN) (r = 0.394, p = 0.019), physical neglect (PN) (r = 0.393, p = 0.019), and CTQ total score (r = 0.452, p = 0.006); between P and CTQ total score (r = 0.336, p = 0.049); and significant negative correlations were found between L and EN (r = -0.446, p = 0.007), CTQ total score (r = -0.375, p = 0.027). Conclusion In unaffected FDRs, there were significant associations between childhood trauma and a few personality traits, including neuroticism, psychoticism, and lie, and emotional neglect was significantly associated with neuroticism.
Background Left-behind children(LBC has experienced parent-child separation, which is a special parent-child separation and social isolation model. Adverse events in early development may have important effects on the development of the nervous system, including the influence on sensory and perceptual cognitive processing, thus increasing the susceptibility to mental illness. Meanwhile, there are various neurological and brain root causes behind left-behind children’s learning difficulties, non-socialization and other psychological behavior problems. In addition, left-behind may have sensory, perceptual and cognitive processing abnormalities. This study tries to elaborate and extract the eye movement characteristics of left-behind children, lay a foundation for the discussion of the mechanism of abnormal visual processing, and provide a scientific basis for follow-up of left-behind children and the early identification, prevention and control of mental diseases. Methods The standards for grouping left-behind children are as follows: the children who are separated from both parents 6 months after birth and spend less than 2 months with their parents each month, and the non-left-behind children with matched gender, age and education years, exclusion criteria is: neurological diseases, family history of mental illness, broken family (single parent, bereavement), high myopia (greater than 1000 degrees), eye and eyelash cannot be identified by infrared light. EyeControl portable eye movement tester (built-in infrared, speed: 100Hz, error <0.5°) developed by Qingtech and its software processing system were used. The subjects’ eye movements and various analysis indexes in various tasks were collected. The eye movement indexes of smooth pursuit eye movement, fixation stability and free browsing were collected, so as to investigate the effects of left-behind on static attention retention, visual tracking and face recognition in social scenes. Results Among the 175 children, the smooth tracking mean deviation of LBC is significantly increased (P=0.017). The mean deviation of the O and S-curve tracking of the LBC is significantly increased (P=0.018; P=0.034), and the OS curve mean deviation and hyperactivity correlated (r=-0.273, P=0.011). In terms of the time that peak deviation takes (F=4.329, P=0.014), there is significant interaction between the age groups and the left-behind groups. In the social scenes, the first fixation time of face (P=0.039), the number of eye entry count (P=0.020), and the eye fixation time (P=0.003) of LBC are all significantly reduced, and the number of mouth entry count (P=0.007) and the number of fixation (P=0.023) of LBC are all significantly increased. Under the circumstance of low facial processing, there is a significant difference between LBC and NLBC (P=0.009), and that difference is not significant under the circumstance of high facial processing, and there is a significant difference between low facial processing LBC and high facial processing NLBC (P=0.007). Discussion Left-behind children have obstacles in dynamic visual information processing, insufficient inhibition and control, and poor cognitive flexibility, which may be related to hyperactivity. The attention retention in visual tracking decreased with the increase of age. Left-behind children have difficulties in face recognition in social scenes. In the case of low facial processing, left-behind children aggravated the defects of speech comprehension, while in the case of high facial processing, left-behind children had no significant influence on speech comprehension. Therefore, we should intervene the left-behind children in the early days, and this study provides a scientific basis for the formulation of social policies.
Objectives: This study is aimed to examine the potential association between childhood trauma (CT) and personality traits among unaffected first-degree relatives (FDR, children or siblings of patients) of patients with major depressive disorder (MDD). Methods: The study consists of three groups: total 85 patients with MDD, 35 FDRs and 89 healthy control individuals (HC). The Childhood Trauma Questionnaire (CTQ) was used to assess childhood trauma and the Eysenck Personality Questionnaire used to assess personality traits. Results: By comparison made in personality traits, MDD patients exhibits some significant disparities to FDR and HC (p<0.05 for extraversion, neuroticism and psychoticism). Nevertheless, no significant difference was found between HC and FDR. In FDR group, patients with CT scored noticeably higher for neuroticism (N) compared with those without CT (F=3.246, p=0.046). CT was associated with N, psychoticism (P) and Lie (L), and it was associated with N more closely (r=0.290-0.452, p<0.05 for all). Significantly positive correlations were found between N and sexual abuse (SA), emotional neglect (EN), physical neglect (PN), and CTQ total (r=0.344-0.452, p<0.05); P and CTQ (r=0.336, p<0.05); and significant negative correlations between L and EN, CTQ (r=-0.446-0.375, p<0.05). EN contributed to a probability of N, P (R2=0.155-0.214, F=6.066-9.010, p=0.005-0.019) as well as a probability of L (R2=0.199, F=8.211, p=0.007). Conclusion: CT was associated with N, P and L, with a closer relation to N in unaffected FDR. Besides, the type of CT, the most relevant to N, was discovered to be EN. Thus, FDR of MDD who experienced CT should be prioritized. Key words: childhood trauma; personality; major depressive disorder; first-degree relatives
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