Pub Date : 2024-06-06DOI: 10.3389/fpsyt.2024.1388478
Samuel Bayer, A. Bröcker, Frauke Stuke, S. Just, Gianna Bertram, Imke Grimm, Eva Maaßen, Marielle Büttner, Andreas Heinz, Felix Bermpohl, G. Lempa, D. von Haebler, Christiane Montag
The psychic structure of people with psychosis has been the subject of theoretical and qualitative considerations. However, it has not been sufficiently studied quantitatively. Therefore, the aim of this study was to explore the structural abilities of people diagnosed with schizophrenia and schizoaffective psychosis using the Levels of Structural Integration Axis of the Operationalized Psychodynamic Diagnosis System (OPD-2-LSIA). The study aimed to determine possible associations between the OPD-2-LSIA and central parameters of illness. Additionally, possible structural differences between people diagnosed with schizophrenia and schizoaffective psychosis were tested.This cross-sectional study included 129 outpatients with schizophrenia or schizoaffective disorders. Measures of structural integration, symptom load, severity of illness, cognition, and social functioning were obtained. Descriptive statistics were used to analyze the overall structural level and the structural dimensions. Correlation coefficients were computed to measure the associations between OPD-2-LSIA and variables regarding the severity of illness and psychosocial functioning. Regression models were used to measure the influence of illness-related variables on OPD-2-LSIA, and the influence of OPD-2-LSIA on psychosocial functioning. Participants diagnosed with schizophrenia and schizoaffective disorders were examined with regard to possible group differences.The results of the OPD-2-LSIA showed that the overall structural level was between ‘moderate to low’ and ‘low level of structural integration’. Significant correlations were found between OPD-2-LSIA and psychotic symptoms (but not depressive symptoms), as well as between OPD-2-LSIA and psychosocial functioning. It was found that variables related to severity of illness had a significant impact on OPD-2-LSIA, with psychotic, but not depressive symptoms being significant predictors. OPD-2-LSIA was found to predict psychosocial functioning beyond symptoms and cognition. No significant differences were found between participants with schizophrenia and schizoaffective psychosis. There was also no correlation found between OPD-2-LSIA and depressive symptomatology (except for the subdimension Internal communication).Contrary to theoretical assumptions, the results of the study show a heterogenous picture of the psychic structure of people with psychosis. The associations between OPD-2-LSIA and severity of illness, particularly psychotic symptomatology, as well as the influence of OPD-2-LSIA on psychosocial functioning, are discussed.
{"title":"Level of structural integration in people with schizophrenia and schizoaffective disorders - applicability and associations with clinical parameters","authors":"Samuel Bayer, A. Bröcker, Frauke Stuke, S. Just, Gianna Bertram, Imke Grimm, Eva Maaßen, Marielle Büttner, Andreas Heinz, Felix Bermpohl, G. Lempa, D. von Haebler, Christiane Montag","doi":"10.3389/fpsyt.2024.1388478","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1388478","url":null,"abstract":"The psychic structure of people with psychosis has been the subject of theoretical and qualitative considerations. However, it has not been sufficiently studied quantitatively. Therefore, the aim of this study was to explore the structural abilities of people diagnosed with schizophrenia and schizoaffective psychosis using the Levels of Structural Integration Axis of the Operationalized Psychodynamic Diagnosis System (OPD-2-LSIA). The study aimed to determine possible associations between the OPD-2-LSIA and central parameters of illness. Additionally, possible structural differences between people diagnosed with schizophrenia and schizoaffective psychosis were tested.This cross-sectional study included 129 outpatients with schizophrenia or schizoaffective disorders. Measures of structural integration, symptom load, severity of illness, cognition, and social functioning were obtained. Descriptive statistics were used to analyze the overall structural level and the structural dimensions. Correlation coefficients were computed to measure the associations between OPD-2-LSIA and variables regarding the severity of illness and psychosocial functioning. Regression models were used to measure the influence of illness-related variables on OPD-2-LSIA, and the influence of OPD-2-LSIA on psychosocial functioning. Participants diagnosed with schizophrenia and schizoaffective disorders were examined with regard to possible group differences.The results of the OPD-2-LSIA showed that the overall structural level was between ‘moderate to low’ and ‘low level of structural integration’. Significant correlations were found between OPD-2-LSIA and psychotic symptoms (but not depressive symptoms), as well as between OPD-2-LSIA and psychosocial functioning. It was found that variables related to severity of illness had a significant impact on OPD-2-LSIA, with psychotic, but not depressive symptoms being significant predictors. OPD-2-LSIA was found to predict psychosocial functioning beyond symptoms and cognition. No significant differences were found between participants with schizophrenia and schizoaffective psychosis. There was also no correlation found between OPD-2-LSIA and depressive symptomatology (except for the subdimension Internal communication).Contrary to theoretical assumptions, the results of the study show a heterogenous picture of the psychic structure of people with psychosis. The associations between OPD-2-LSIA and severity of illness, particularly psychotic symptomatology, as well as the influence of OPD-2-LSIA on psychosocial functioning, are discussed.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.3389/fpsyt.2024.1391535
Tiantian Dong, Xingxin Wang, Zhixia Jia, Jiguo Yang, Yuanxiang Liu
Major Depressive Disorder (MDD) is one of the most prevalent and debilitating health conditions worldwide. Previous studies have reported a link between metabolic dysregulation and MDD. However, evidence for a causal relationship between blood metabolites and MDD is lacking.Using a two-sample bidirectional Mendelian randomization analysis (MR), we assessed the causal relationship between 1,400 serum metabolites and Major Depressive Disorder (MDD). The Inverse Variance Weighted method (IVW) was employed to estimate the causal association between exposures and outcomes. Additionally, MR-Egger regression, weighted median, simple mode, and weighted mode methods were used as supplementary approaches for a comprehensive appraisal of the causality between blood metabolites and MDD. Pleiotropy and heterogeneity tests were also conducted. Lastly, the relevant metabolites were subjected to metabolite function analysis, and a reverse MR was implemented to explore the potential influence of MDD on these metabolites.After rigorous screening, we identified 34 known metabolites, 13 unknown metabolites, and 18 metabolite ratios associated with Major Depressive Disorder (MDD). Among all metabolites, 33 were found to have positive associations, and 32 had negative associations. The top five metabolites that increased the risk of MDD were the Arachidonate (20:4n6) to linoleate (18:2n6) ratio, LysoPE(18:0/0:0), N-acetyl-beta-alanine levels, Arachidonate (20:4n6) to oleate to vaccenate (18:1) ratio, Glutaminylglutamine, and Threonine to pyruvate ratio. Conversely, the top five metabolites that decreased the risk of MDD were N6-Acetyl-L-lysine, Oleoyl-linoleoyl-glycerol (18:1 to 18:2) [2] to linoleoyl-arachidonoyl-glycerol (18:2 to 20:4) [2] ratio, Methionine to phosphate ratio, Pregnanediol 3-O-glucuronide, and 6-Oxopiperidine-2-carboxylic acid. Metabolite function enrichment was primarily concentrated in pathways such as Bile Acid Biosynthesis (FDR=0.177), Glutathione Metabolism (FDR=0.177), Threonine, and 2-Oxobutanoate Degradation (FDR=0.177). In addition, enrichment was noted in pathways like Valine, Leucine, and Isoleucine Biosynthesis (p=0.04), as well as Ascorbate and Aldarate Metabolism (p=0.04).Within a pool of 1,400 blood metabolites, we identified 34 known metabolites and 13 unknown metabolites, as well as 18 metabolite ratios associated with Major Depressive Disorder (MDD). Additionally, three functionally enriched groups and two metabolic pathways were selected. The integration of genomics and metabolomics has provided significant insights for the screening and prevention of MDD.
{"title":"Assessing the associations of 1,400 blood metabolites with major depressive disorder: a Mendelian randomization study","authors":"Tiantian Dong, Xingxin Wang, Zhixia Jia, Jiguo Yang, Yuanxiang Liu","doi":"10.3389/fpsyt.2024.1391535","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1391535","url":null,"abstract":"Major Depressive Disorder (MDD) is one of the most prevalent and debilitating health conditions worldwide. Previous studies have reported a link between metabolic dysregulation and MDD. However, evidence for a causal relationship between blood metabolites and MDD is lacking.Using a two-sample bidirectional Mendelian randomization analysis (MR), we assessed the causal relationship between 1,400 serum metabolites and Major Depressive Disorder (MDD). The Inverse Variance Weighted method (IVW) was employed to estimate the causal association between exposures and outcomes. Additionally, MR-Egger regression, weighted median, simple mode, and weighted mode methods were used as supplementary approaches for a comprehensive appraisal of the causality between blood metabolites and MDD. Pleiotropy and heterogeneity tests were also conducted. Lastly, the relevant metabolites were subjected to metabolite function analysis, and a reverse MR was implemented to explore the potential influence of MDD on these metabolites.After rigorous screening, we identified 34 known metabolites, 13 unknown metabolites, and 18 metabolite ratios associated with Major Depressive Disorder (MDD). Among all metabolites, 33 were found to have positive associations, and 32 had negative associations. The top five metabolites that increased the risk of MDD were the Arachidonate (20:4n6) to linoleate (18:2n6) ratio, LysoPE(18:0/0:0), N-acetyl-beta-alanine levels, Arachidonate (20:4n6) to oleate to vaccenate (18:1) ratio, Glutaminylglutamine, and Threonine to pyruvate ratio. Conversely, the top five metabolites that decreased the risk of MDD were N6-Acetyl-L-lysine, Oleoyl-linoleoyl-glycerol (18:1 to 18:2) [2] to linoleoyl-arachidonoyl-glycerol (18:2 to 20:4) [2] ratio, Methionine to phosphate ratio, Pregnanediol 3-O-glucuronide, and 6-Oxopiperidine-2-carboxylic acid. Metabolite function enrichment was primarily concentrated in pathways such as Bile Acid Biosynthesis (FDR=0.177), Glutathione Metabolism (FDR=0.177), Threonine, and 2-Oxobutanoate Degradation (FDR=0.177). In addition, enrichment was noted in pathways like Valine, Leucine, and Isoleucine Biosynthesis (p=0.04), as well as Ascorbate and Aldarate Metabolism (p=0.04).Within a pool of 1,400 blood metabolites, we identified 34 known metabolites and 13 unknown metabolites, as well as 18 metabolite ratios associated with Major Depressive Disorder (MDD). Additionally, three functionally enriched groups and two metabolic pathways were selected. The integration of genomics and metabolomics has provided significant insights for the screening and prevention of MDD.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"15 7‐8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-06DOI: 10.3389/fpsyt.2024.1364271
O. Tymofiyeva, Tiffany C. Ho, Colm G. Connolly, Sasha Gorrell, Ryan Rampersaud, Sabrina M. Darrow, Jeffrey E. Max, Tony T. Yang
Suicide is a current leading cause of death in adolescents and young adults. The neurobiological underpinnings of suicide risk in youth, however, remain unclear and a brain-based model is lacking. In adult samples, current models highlight deficient serotonin release as a potential suicide biomarker, and in particular, involvement of serotonergic dysfunction in relation to the putamen and suicidal behavior. Less is known about associations among striatal regions and relative suicidal risk across development. The current study examined putamen connectivity in depressed adolescents with (AT) and without history of a suicide attempt (NAT), specifically using resting-state functional magnetic resonance imaging (fMRI) to evaluate patterns in resting-state functional connectivity (RSFC). We hypothesized the AT group would exhibit lower striatal RSFC compared to the NAT group, and lower striatal RSFC would associate with greater suicidal ideation severity and/or lethality of attempt.We examined whole-brain RSFC of six putamen regions in 17 adolescents with depression and NAT (MAge [SD] = 16.4[0.3], 41% male) and 13 with AT (MAge [SD] = 16.2[0.3], 31% male).Only the dorsal rostral striatum showed a statistically significant bilateral between-group difference in RSFC with the superior frontal gyrus and supplementary motor area, with higher RSFC in the group without a suicide attempt compared to those with attempt history (voxel-wise p<.001, cluster-wise p<.01). No significant associations were found between any putamen RSFC patterns and suicidal ideation severity or lethality of attempts among those who had attempted.The results align with recent adult literature and have interesting theoretical and clinical implications. A possible interpretation of the results is a mismatch of the serotonin transport to putamen and to the supplementary motor area and the resulting reduced functional connectivity between the two areas in adolescents with attempt history. The obtained results can be used to enhance the diathesis-stress model and the Emotional paiN and social Disconnect (END) model of adolescent suicidality by adding the putamen. We also speculate that connectivity between putamen and the supplementary motor area may in the future be used as a valuable biomarker of treatment efficacy and possibly prediction of treatment outcome.
{"title":"Examining putamen resting-state connectivity markers of suicide attempt history in depressed adolescents","authors":"O. Tymofiyeva, Tiffany C. Ho, Colm G. Connolly, Sasha Gorrell, Ryan Rampersaud, Sabrina M. Darrow, Jeffrey E. Max, Tony T. Yang","doi":"10.3389/fpsyt.2024.1364271","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1364271","url":null,"abstract":"Suicide is a current leading cause of death in adolescents and young adults. The neurobiological underpinnings of suicide risk in youth, however, remain unclear and a brain-based model is lacking. In adult samples, current models highlight deficient serotonin release as a potential suicide biomarker, and in particular, involvement of serotonergic dysfunction in relation to the putamen and suicidal behavior. Less is known about associations among striatal regions and relative suicidal risk across development. The current study examined putamen connectivity in depressed adolescents with (AT) and without history of a suicide attempt (NAT), specifically using resting-state functional magnetic resonance imaging (fMRI) to evaluate patterns in resting-state functional connectivity (RSFC). We hypothesized the AT group would exhibit lower striatal RSFC compared to the NAT group, and lower striatal RSFC would associate with greater suicidal ideation severity and/or lethality of attempt.We examined whole-brain RSFC of six putamen regions in 17 adolescents with depression and NAT (MAge [SD] = 16.4[0.3], 41% male) and 13 with AT (MAge [SD] = 16.2[0.3], 31% male).Only the dorsal rostral striatum showed a statistically significant bilateral between-group difference in RSFC with the superior frontal gyrus and supplementary motor area, with higher RSFC in the group without a suicide attempt compared to those with attempt history (voxel-wise p<.001, cluster-wise p<.01). No significant associations were found between any putamen RSFC patterns and suicidal ideation severity or lethality of attempts among those who had attempted.The results align with recent adult literature and have interesting theoretical and clinical implications. A possible interpretation of the results is a mismatch of the serotonin transport to putamen and to the supplementary motor area and the resulting reduced functional connectivity between the two areas in adolescents with attempt history. The obtained results can be used to enhance the diathesis-stress model and the Emotional paiN and social Disconnect (END) model of adolescent suicidality by adding the putamen. We also speculate that connectivity between putamen and the supplementary motor area may in the future be used as a valuable biomarker of treatment efficacy and possibly prediction of treatment outcome.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"10 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To explore the insight, treatment attitude, and related influencing factors of hospitalized elderly patients suffering from major depression.A total of 141 hospitalized elderly patients with depression were selected as the research objects. Insight was evaluated by the total score of the Insight and Treatment Attitude questionnaire (ITAQ). The data collected included sociodemographic characteristics, psychiatric symptoms, delirium status, social functioning, social support, suicide risk, and cognitive function.The sample included 74.5% of female patients, and the mean age was 67.53 (sd=7.19) years. The influencing factors of inpatients with depression included alcohol consumption, length of hospitalization, admission types, and the main caregivers (P<0.05). The various factors were further analyzed by linear regression, revealing that the insight and treatment attitude of elderly depressed hospitalized patients were mainly related to the Mini-Mental State Examination (MMSE) (β= 0.225, 95% CI 0.055–0.395, P=0.01), dependent on a caregiver (β=-5.810, 95% CI -8.086~-3.535, P<0.001), the type of admission (involuntary admission) (β=-3.365, 95% CI -5.448~-1.283, P=0.002), Functional Activities Questionnaire (FAQ) (β=-0.156, 95% CI -0.303~-0.010, P=0.037), and length of stay (≤28 days) (β=2.272, 95% CI 0.055~-4.489, P=0.045).The level of insight was affected by cognitive function, involuntary admission, dependent on a caregiver, social function and length of stay. Future studies should focus on cognitive function recovery, observation of admission mode, and self-care ability in elderly patients with depression.
目的:探讨住院老年重度抑郁症患者的洞察力、治疗态度及相关影响因素。洞察力通过洞察力和治疗态度问卷(ITAQ)的总分进行评估。收集的数据包括社会人口学特征、精神症状、谵妄状态、社会功能、社会支持、自杀风险和认知功能。住院抑郁症患者的影响因素包括饮酒量、住院时间、入院类型和主要照顾者(P<0.05)。对各种因素进一步进行线性回归分析,发现老年抑郁症住院患者的洞察力和治疗态度主要与小型精神状态检查(MMSE)(β= 0.225,95% CI 0.055-0.395,P=0.01)、依赖照护者(β=-5.810,95% CI -8.086~-3.535,P<0.001)、入院类型(非自愿入院)(β=-3.认知功能、非自愿入院、依赖照护者、社会功能和住院时间对洞察力水平有影响。未来的研究应关注老年抑郁症患者认知功能的恢复、入院方式的观察和自理能力。
{"title":"Factors influencing the level of insight and treatment attitude: a cross-sectional study of 141 elderly patients of major depression in Guangzhou, China","authors":"Hang Yang, Jiao Chen, Junrong Ye, Tingwei Zhou, Wen Wang, Yuanxin Pan, Yanheng Wei, Xueling Lu, Lexin Yuan, Shengwei Wu, Jianxiong Guo, Aixiang Xiao","doi":"10.3389/fpsyt.2024.1284559","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1284559","url":null,"abstract":"To explore the insight, treatment attitude, and related influencing factors of hospitalized elderly patients suffering from major depression.A total of 141 hospitalized elderly patients with depression were selected as the research objects. Insight was evaluated by the total score of the Insight and Treatment Attitude questionnaire (ITAQ). The data collected included sociodemographic characteristics, psychiatric symptoms, delirium status, social functioning, social support, suicide risk, and cognitive function.The sample included 74.5% of female patients, and the mean age was 67.53 (sd=7.19) years. The influencing factors of inpatients with depression included alcohol consumption, length of hospitalization, admission types, and the main caregivers (P<0.05). The various factors were further analyzed by linear regression, revealing that the insight and treatment attitude of elderly depressed hospitalized patients were mainly related to the Mini-Mental State Examination (MMSE) (β= 0.225, 95% CI 0.055–0.395, P=0.01), dependent on a caregiver (β=-5.810, 95% CI -8.086~-3.535, P<0.001), the type of admission (involuntary admission) (β=-3.365, 95% CI -5.448~-1.283, P=0.002), Functional Activities Questionnaire (FAQ) (β=-0.156, 95% CI -0.303~-0.010, P=0.037), and length of stay (≤28 days) (β=2.272, 95% CI 0.055~-4.489, P=0.045).The level of insight was affected by cognitive function, involuntary admission, dependent on a caregiver, social function and length of stay. Future studies should focus on cognitive function recovery, observation of admission mode, and self-care ability in elderly patients with depression.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"299 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-05DOI: 10.3389/fpsyt.2024.1374872
Annie Bérubé, Rachel Pétrin, Caroline Blais
Sensitivity plays a crucial role in parenting as it involves the ability to perceive and respond appropriately to children’s signals. Childhood maltreatment and depression can negatively impact adults’ ability to recognize emotions, but it is unclear which of these factors has a greater impact or how they interact. This knowledge is central to developing efficient, targeted interventions. This paper examines the interaction between parents’ depressive symptoms and childhood maltreatment and its influence on their ability to recognize the five basic emotions (happiness, anger, sadness, fear, and disgust) in children’s faces.The sample consisted of 52 parents. Depressive symptoms were measured by the depression subscale of the Brief Symptom Inventory-18 (BSI-18), and maltreatment history was assessed by the Childhood Trauma Questionnaire (CTQ). Children’s emotional stimuli were morphed images created using The Child Affective Facial Expression (CAFE) database.Our findings indicate that depressive symptoms moderate the relationship between parents’ history of childhood maltreatment and emotion recognition skills. Parents with higher depressive symptoms had lower emotion recognition accuracy when they had not experienced maltreatment. When childhood maltreatment was severe, emotion recognition skills were more consistent across all levels of depression. The relationship between depression and emotion recognition was primarily linked to recognizing sadness in children’s faces.These findings highlight how different experiences can affect parental abilities in emotion recognition and emphasize the need for interventions tailored to individual profiles to improve their effectiveness.
{"title":"Parental depression moderates the relationship between childhood maltreatment and the recognition of children expressions of emotions","authors":"Annie Bérubé, Rachel Pétrin, Caroline Blais","doi":"10.3389/fpsyt.2024.1374872","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1374872","url":null,"abstract":"Sensitivity plays a crucial role in parenting as it involves the ability to perceive and respond appropriately to children’s signals. Childhood maltreatment and depression can negatively impact adults’ ability to recognize emotions, but it is unclear which of these factors has a greater impact or how they interact. This knowledge is central to developing efficient, targeted interventions. This paper examines the interaction between parents’ depressive symptoms and childhood maltreatment and its influence on their ability to recognize the five basic emotions (happiness, anger, sadness, fear, and disgust) in children’s faces.The sample consisted of 52 parents. Depressive symptoms were measured by the depression subscale of the Brief Symptom Inventory-18 (BSI-18), and maltreatment history was assessed by the Childhood Trauma Questionnaire (CTQ). Children’s emotional stimuli were morphed images created using The Child Affective Facial Expression (CAFE) database.Our findings indicate that depressive symptoms moderate the relationship between parents’ history of childhood maltreatment and emotion recognition skills. Parents with higher depressive symptoms had lower emotion recognition accuracy when they had not experienced maltreatment. When childhood maltreatment was severe, emotion recognition skills were more consistent across all levels of depression. The relationship between depression and emotion recognition was primarily linked to recognizing sadness in children’s faces.These findings highlight how different experiences can affect parental abilities in emotion recognition and emphasize the need for interventions tailored to individual profiles to improve their effectiveness.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"51 41","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-05DOI: 10.3389/fpsyt.2024.1358648
Miracle A. Macias Burgos, Tara Bautista, Yesenia Cruz-Carrillo, Mia Cisco, Sumeyra Sahbaz, Lea Nehme, Duyen Vo, Maria Duque, Seth J. Schwartz, P. Montero-Zamora
Internalizing symptoms associated with anxiety and depression have been correlated with harmful alcohol use among Latino/as, but little attention has been paid to assessing the association between perceived discrimination and harmful alcohol use. The present study was designed to investigate the association between perceived discrimination, internalizing symptoms associated with anxiety and depression, and harmful alcohol use among Latino/a immigrants living in the United States (US). Our sample included 426 Latino/a immigrants. Their mean age was 40.05 years (SD = 6.50), 65.50% were women, 80.00% had a partner, 54.20% lived on less than $2,000 a month, and 41.50% reported having attained a college degree. Perceived discrimination was assessed using the Perceived Discrimination Scale, anxious symptoms were assessed using the GAD-7, depressive symptoms were assessed using the CES-D short form, and harmful alcohol use was assessed using AUDIT. We estimated a linear regression model using cross-sectional, self-reported data. The model was statistically significant, R2 = 0.38, F (8, 425) = 32.09, p < 0.01. Discrimination was significantly associated with AUDIT scores, (β = 0.21, p < 0.01) after accounting for covariates and for symptoms of anxiety and depression. Our results indicate that experiences of discrimination in the US are associated with increased harmful alcohol use even after controlling for other variables. These findings may be useful in designing coping interventions specifically for Latino/a immigrants to reduce the risk of alcohol use disorder. This study also has political and public health implications for acknowledging the detrimental health consequences of experiencing discrimination, providing support to the position that reducing racism and discrimination represent important public health priorities.
{"title":"Investigating the association between discrimination, internalizing symptoms, and alcohol use among Latino/a immigrant in the United States","authors":"Miracle A. Macias Burgos, Tara Bautista, Yesenia Cruz-Carrillo, Mia Cisco, Sumeyra Sahbaz, Lea Nehme, Duyen Vo, Maria Duque, Seth J. Schwartz, P. Montero-Zamora","doi":"10.3389/fpsyt.2024.1358648","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1358648","url":null,"abstract":"Internalizing symptoms associated with anxiety and depression have been correlated with harmful alcohol use among Latino/as, but little attention has been paid to assessing the association between perceived discrimination and harmful alcohol use. The present study was designed to investigate the association between perceived discrimination, internalizing symptoms associated with anxiety and depression, and harmful alcohol use among Latino/a immigrants living in the United States (US). Our sample included 426 Latino/a immigrants. Their mean age was 40.05 years (SD = 6.50), 65.50% were women, 80.00% had a partner, 54.20% lived on less than $2,000 a month, and 41.50% reported having attained a college degree. Perceived discrimination was assessed using the Perceived Discrimination Scale, anxious symptoms were assessed using the GAD-7, depressive symptoms were assessed using the CES-D short form, and harmful alcohol use was assessed using AUDIT. We estimated a linear regression model using cross-sectional, self-reported data. The model was statistically significant, R2 = 0.38, F (8, 425) = 32.09, p < 0.01. Discrimination was significantly associated with AUDIT scores, (β = 0.21, p < 0.01) after accounting for covariates and for symptoms of anxiety and depression. Our results indicate that experiences of discrimination in the US are associated with increased harmful alcohol use even after controlling for other variables. These findings may be useful in designing coping interventions specifically for Latino/a immigrants to reduce the risk of alcohol use disorder. This study also has political and public health implications for acknowledging the detrimental health consequences of experiencing discrimination, providing support to the position that reducing racism and discrimination represent important public health priorities.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"290 8‐9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-05DOI: 10.3389/fpsyt.2024.1399935
Nanna Yosser Ben Høier, Ida-Marie Molstrom, A. Urfer-Parnas, M. G. Henriksen, J. Nordgaard
A structure of everyday life creates routines and a sense of familiarity, which provides a recognizable basis for being and acting in the world. A structure of everyday life reduces stress, and daily stress has consistently been associated with higher levels of psychiatric symptoms. Little is known about how patients with schizophrenia and severe social impairment structure their lives. Thus, we aimed to explore the everyday lives of this group of patients, looking for structuring elements.In this qualitative study, we included patients diagnosed with schizophrenia who were either homeless or had difficulties reporting for treatment and, thus, needed treatment from an outreach team.17 participants were included in the study. We found only few structuring elements across all participants in the qualitative analyses. We identified five themes in our sample that serve as structuring elements in the everyday life: social interactions, volunteering to assist with basic tasks, self-initiated routines such as going for a walk daily, exoskeleton (structure provided by others), and having pets. None of the participants reported much activity during the day, and for most of them, social interactions were minimal.All the participants had very little structure and routines in their everyday life. The shelters provided the homeless participants with some structuring elements, whereas the domiciled participants had no external structuring elements. The findings have important implications for psychosocial treatment of severe social impairment in schizophrenia. The lack of structure in these patients’ everyday lives highlights the need for targeted interventions that could facilitate such structures and guide social involvement and personal recovery.
{"title":"Everyday life for patients with schizophrenia and severely impaired social functioning","authors":"Nanna Yosser Ben Høier, Ida-Marie Molstrom, A. Urfer-Parnas, M. G. Henriksen, J. Nordgaard","doi":"10.3389/fpsyt.2024.1399935","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1399935","url":null,"abstract":"A structure of everyday life creates routines and a sense of familiarity, which provides a recognizable basis for being and acting in the world. A structure of everyday life reduces stress, and daily stress has consistently been associated with higher levels of psychiatric symptoms. Little is known about how patients with schizophrenia and severe social impairment structure their lives. Thus, we aimed to explore the everyday lives of this group of patients, looking for structuring elements.In this qualitative study, we included patients diagnosed with schizophrenia who were either homeless or had difficulties reporting for treatment and, thus, needed treatment from an outreach team.17 participants were included in the study. We found only few structuring elements across all participants in the qualitative analyses. We identified five themes in our sample that serve as structuring elements in the everyday life: social interactions, volunteering to assist with basic tasks, self-initiated routines such as going for a walk daily, exoskeleton (structure provided by others), and having pets. None of the participants reported much activity during the day, and for most of them, social interactions were minimal.All the participants had very little structure and routines in their everyday life. The shelters provided the homeless participants with some structuring elements, whereas the domiciled participants had no external structuring elements. The findings have important implications for psychosocial treatment of severe social impairment in schizophrenia. The lack of structure in these patients’ everyday lives highlights the need for targeted interventions that could facilitate such structures and guide social involvement and personal recovery.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"47 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-05DOI: 10.3389/fpsyt.2024.1366030
Fuquan Liu, Hu Deng, Na Hu, Wenqian Huang, Hong Wang, Lin Liu, Jiabao Chai, Ying Li
To investigate self-stigma’s influence on schizophrenia patients’ quality of life and its mediated impact by various factors.This study adopted a cross-sectional design and randomly selected 170 hospitalized patients with schizophrenia for evaluation. The assessment tools included the Positive and Negative Syndrome Scale (PANSS), Internalized Stigma of Mental Illness Scale (ISMI), Schizophrenia Quality of Life Scale (SQLS), and Coping Questionnaire for Schizophrenia Patients (CQSP), among others. Correlation analysis, regression analysis, and mediation analysis were used to test the correlation and mediation effects.Self-stigma had a significant impact on quality of life (T = 8.13, p = 0.00). When self-stigma is used as a mediator, the problem-solving factor in coping strategies has an indirect effect on quality of life, which is significant (AB = -0.16, P = 0.02), while the avoidance factor in coping strategies has a direct effect on quality of life, which is significant (C’ = 0.54, p < 0.001), and an indirect effect, which is also significant (AB = 0.25, p < 0.001).The study highlights the significant impact of self-stigma on the quality of life of schizophrenia patients, emphasizing the crucial roles of self-esteem and coping strategies. These findings suggest clinical interventions to improve quality of life should focus on reducing self-stigma, especially enhancing self-esteem and promoting adaptive coping strategies. By addressing these factors, we can better support the mental health and well-being of those with schizophrenia, offering an effective approach to rehabilitation.
{"title":"The relationship between self-stigma and quality of life in long-term hospitalized patients with schizophrenia: a cross-sectional study","authors":"Fuquan Liu, Hu Deng, Na Hu, Wenqian Huang, Hong Wang, Lin Liu, Jiabao Chai, Ying Li","doi":"10.3389/fpsyt.2024.1366030","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1366030","url":null,"abstract":"To investigate self-stigma’s influence on schizophrenia patients’ quality of life and its mediated impact by various factors.This study adopted a cross-sectional design and randomly selected 170 hospitalized patients with schizophrenia for evaluation. The assessment tools included the Positive and Negative Syndrome Scale (PANSS), Internalized Stigma of Mental Illness Scale (ISMI), Schizophrenia Quality of Life Scale (SQLS), and Coping Questionnaire for Schizophrenia Patients (CQSP), among others. Correlation analysis, regression analysis, and mediation analysis were used to test the correlation and mediation effects.Self-stigma had a significant impact on quality of life (T = 8.13, p = 0.00). When self-stigma is used as a mediator, the problem-solving factor in coping strategies has an indirect effect on quality of life, which is significant (AB = -0.16, P = 0.02), while the avoidance factor in coping strategies has a direct effect on quality of life, which is significant (C’ = 0.54, p < 0.001), and an indirect effect, which is also significant (AB = 0.25, p < 0.001).The study highlights the significant impact of self-stigma on the quality of life of schizophrenia patients, emphasizing the crucial roles of self-esteem and coping strategies. These findings suggest clinical interventions to improve quality of life should focus on reducing self-stigma, especially enhancing self-esteem and promoting adaptive coping strategies. By addressing these factors, we can better support the mental health and well-being of those with schizophrenia, offering an effective approach to rehabilitation.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-05DOI: 10.3389/fpsyt.2024.1416556
Flavia Lecciso, Antonio Narzisi
{"title":"Editorial: Psychometrics in Psychiatry 2022: Autism","authors":"Flavia Lecciso, Antonio Narzisi","doi":"10.3389/fpsyt.2024.1416556","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1416556","url":null,"abstract":"","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"89 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141385236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-24DOI: 10.3389/fpsyt.2024.1411993
Mohamed Abouzed, Basem Salama, Amgad Gabr, Khaled A. Elag, Mahmoud Soliman, Nisrin Elsaadouni, N. Elzahab
Sleep disturbances are common among individuals with autism spectrum disorder (ASD) and can have a negative impact on their daily functioning and core symptoms. As the use of smart technologies continues to rise, it is crucial to understand how these devices affect the sleep quality of individuals with ASD.The objective of this study was to examine the relationship between the use of smart technology and sleep quality in individuals with ASD.A mixed-methods approach was employed, combining both quantitative and qualitative data collection techniques. A sample of 83 individuals with ASD, aged between 8 and 25 years, assessed their sleep quality using the Pittsburgh Sleep Quality Index. Additionally, information regarding patterns of smart technology use and relevant covariates was collected. Correlation and regression analyses were conducted to analyze the data. Furthermore, semi-structured interviews were conducted with a subset of participants and their caregivers.Significant positive correlations were found between poorer sleep quality scores and total screen time (r = 0.42, p < 0.001), pre-bedtime technology use (r = 0.51, p < 0.001), gaming (r = 0.32, p = 0.003), and social media use (r = 0.29, p = 0.008). Pre-bedtime technology use was a significant predictor of poorer sleep quality (β = 0.32, p = 0.006), even after controlling for age, gender, and ASD severity.The findings of this study emphasize the significant associations between the use of smart technology, particularly before bedtime, and poorer sleep quality in individuals with ASD. These results underscore the importance of developing evidence-based interventions and guidelines to promote healthy sleep habits and mitigate the negative effects of technology exposure in this population.
{"title":"Impact of smart technology use on sleep quality in individuals with autism spectrum disorder: a mixed-methods investigation","authors":"Mohamed Abouzed, Basem Salama, Amgad Gabr, Khaled A. Elag, Mahmoud Soliman, Nisrin Elsaadouni, N. Elzahab","doi":"10.3389/fpsyt.2024.1411993","DOIUrl":"https://doi.org/10.3389/fpsyt.2024.1411993","url":null,"abstract":"Sleep disturbances are common among individuals with autism spectrum disorder (ASD) and can have a negative impact on their daily functioning and core symptoms. As the use of smart technologies continues to rise, it is crucial to understand how these devices affect the sleep quality of individuals with ASD.The objective of this study was to examine the relationship between the use of smart technology and sleep quality in individuals with ASD.A mixed-methods approach was employed, combining both quantitative and qualitative data collection techniques. A sample of 83 individuals with ASD, aged between 8 and 25 years, assessed their sleep quality using the Pittsburgh Sleep Quality Index. Additionally, information regarding patterns of smart technology use and relevant covariates was collected. Correlation and regression analyses were conducted to analyze the data. Furthermore, semi-structured interviews were conducted with a subset of participants and their caregivers.Significant positive correlations were found between poorer sleep quality scores and total screen time (r = 0.42, p < 0.001), pre-bedtime technology use (r = 0.51, p < 0.001), gaming (r = 0.32, p = 0.003), and social media use (r = 0.29, p = 0.008). Pre-bedtime technology use was a significant predictor of poorer sleep quality (β = 0.32, p = 0.006), even after controlling for age, gender, and ASD severity.The findings of this study emphasize the significant associations between the use of smart technology, particularly before bedtime, and poorer sleep quality in individuals with ASD. These results underscore the importance of developing evidence-based interventions and guidelines to promote healthy sleep habits and mitigate the negative effects of technology exposure in this population.","PeriodicalId":506619,"journal":{"name":"Frontiers in Psychiatry","volume":"81 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}