Association between family history of mental disorders and outcome in psychotic disorders

Käkelä, J.; Nordström, Tanja; Haapea, Marianne; Jääskeläinen, Erika

doi:10.1016/j.psychres.2018.10.047

Cited by 9 publications

(8 citation statements)

References 35 publications

(44 reference statements)

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“…The current study suggests a positive association exist between a family history of mental illness and higher number of hospitalization in patients with schizophrenia, which is consistent with a previous study (Kakela, Nordstrom, Haapea, Jaaskelainen, & Miettunen, 2018). A…”

Section: Discussionsupporting

confidence: 93%

“…longitudinal population-based study demonstrated that presence of any psychiatric disease among parents was connected with higher number of hospitalized days (P = .035) and higher number of hospitalizations (P = .039) in psychotic diseases (Kakela et al, 2018). The high number of hospitalization in the familial group may be attributed to the higher prevalence of physical illness, negative symptoms, tension, tobacco dependence, and alcohol dependence in the familial group.…”

Section: Discussionmentioning

confidence: 89%

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Clinical characteristics of familial schizophrenia

Liu

Zhou

Xiong

et al. 2020

Asia-Pacific Psychiatry

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Introduction: A family history of psychiatric disorders is one of the strongest risk factors for schizophrenia. The characteristics of patients with a family history of psychiatric disorders have not been systematically evaluated.Methods: This multicenter study (26 centers, 2425 cases) was performed in a Chinese population to examine the sociodemographic and clinical characteristics of schizophrenia patients with a family history of psychotic disorders in comparison with those of patients with sporadic schizophrenia.Results: Nineteen percent of patients had a family history of mental disease. Multiple logistic regression analysis revealed that ≥4 hospitalizations (OR = 1.78, P = .004), tobacco dependence (OR = 1.48, P = .006), alcohol dependence (OR = 1.74, P = .013), and physical illness (OR = 1.89, P = .001) were independently and significantly associated with a family history of mental disease. Conclusion:Patients with a family history of mental disorders present different demographics and clinical features than patients without a family history of psychiatric disorders.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 89%

Clinical characteristics of familial schizophrenia

Liu

Zhou

Xiong

et al. 2020

Asia-Pacific Psychiatry

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“…Compared with the low symptoms group, medical students in the high-risk group with individual or family psychiatric disorders had a higher risk of mental health problems than did students without psychiatric disorders. A history of psychiatric disorders was consistently found to be significant correlate of depression and anxiety [ 61 , 62 ].…”

Section: Discussionmentioning

confidence: 99%

Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic

Liu

Zhang

et al. 2021

BMC Psychiatry

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Objective The novel coronavirus disease 2019 (COVID-19) is a global public health emergency that has caused worldwide concern. The mental health of medical students under the COVID-19 epidemic has attracted much attention. This study aims to identify subgroups of medical students based on depression and anxiety and explore the influencing factors during the COVID-19 epidemic in China. Methods A total of 29,663 medical students were recruited during the epidemic of COVID-19 in China. Depression and anxiety symptoms were assessed using Patient Health Questionnaire 9 (PHQ9) and Generalized Anxiety Disorder 7 (GAD7) respectively. Latent class analysis was performed based on depression and anxiety symptoms in medical students. The latent class subtypes were compared using the chi-square test. Multinomial logistic regression was used to examine associations between identified classes and related factors. Results In this study, three distinct subgroups were identified, namely, the poor mental health group, the mild mental health group and the low symptoms group. The number of medical students in each class is 4325, 9321 and 16,017 respectively. The multinomial logistic regression results showed that compared with the low symptoms group, the factors influencing depression and anxiety in the poor mental health group and mild mental health group were sex, educational level, drinking, individual psychiatric disorders, family psychiatric disorders, knowledge of COVID-19, fear of being infected, and participate in mental health education on COVID-19. Conclusions Our findings suggested that latent class analysis can be used to categorize different medical students according to their depression and anxiety symptoms during the outbreak of COVID-19. The main factors influencing the poor mental health group and the mild mental health group are basic demographic characteristics, disease history, COVID-19 related factors and behavioural lifestyle. School administrative departments can carry out targeted psychological counseling according to different subgroups to promote the physical and mental health of medical students.

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“…12 Furthermore, most young people in this sample had a familial history of mental illness (71.5%), and 11.2% were NEET, which are both independently associated with poor outcomes. 13,14 More specific analyses of needs across services have shown how patterns of risk and vulnerability emerge across different settings. Individuals attending regional services were more likely to be younger, of Aboriginal or Torres Strait Islander heritage, and have higher rates of suicidality and psychotic-like experiences (Figure 1).…”

Section: Discussionmentioning

confidence: 99%

Characterising variability in youth mental health service populations: A detailed and scalable approach using digital technology

Capon

Hickie

McKenna

et al. 2023

Australas Psychiatry

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Objective This study utilised digital technology to assess the clinical needs of young people presenting for care at headspace centres across Australia. Method 1490 young people (12–25 years) who presented to one of 11 headspace services from four geographical locations (urban New South Wales, urban South Australia, regional New South Wales, and regional Queensland) completed a digital multidimensional assessment at initial presentation. Characteristics were compared between services and geographical locations. Results We identified major variation in the demographics, and the type and severity of needs across different services. Individuals from regional services were more likely to be younger, of Aboriginal and Torres Strait Islander origin, and present with psychotic-like symptoms and suicidality, while those in urban areas were more likely to have previously sought help and have problematic alcohol use. Further differences in age, distress, depressive symptoms, psychotic-like experiences, trauma, family history, alcohol use, education/employment engagement, and days out of role were identified between different urban sites. Conclusions The variability between services provides insight into the heterogeneity of youth mental health populations which has implications for appropriate early intervention and prevention service provisions. We propose that integrating digital technologies has the potential to provide insights for smarter service planning and evaluation.

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Association between family history of mental disorders and outcome in psychotic disorders

Cited by 9 publications

References 35 publications

Clinical characteristics of familial schizophrenia

Clinical characteristics of familial schizophrenia

Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic

Characterising variability in youth mental health service populations: A detailed and scalable approach using digital technology

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