Non-psychotic Mental Illness Research Articles

How Far Can Interventions to Increase Income Improve Adolescent Mental Health? Evidence From the UK Millennium Cohort Study and Next Steps

UK adolescents and young adults are facing increasing rates of mental health problems and extremely difficult economic circumstances. There is strong evidence that interventions to increase income during adolescence can mitigate conditions such as anxiety and depression. However, policymakers lack quantified risk differences in the probability of mental illness between different income groups by which to establish the prospective scale of mitigation. Here, we estimate risk differences using two longitudinal cohort studies: Millennium Cohort Study (cohort members born between 2000 and 2002) and Next Steps (born 1989–1990). We quantify the association between income and risk of depression at age 14, serious mental illness at age 17, and non-psychotic mental illness at age 25. We also conduct sensitivity analysis using numerous other markers of socioeconomic (SES) status. We estimate that those living in the poorest quintile group of households have a greater probability of mental health problems than the richest at ages 14, 17, and 25. We find that other markers of SES status—subjective financial strain, cohort member assessed wealth relative to friends, occupational class, and education—display steeper associations with mental health symptoms relative to associations between mental health symptoms and income. Our findings are likely to be conservative underestimates since they are likely to be attenuated by well-known and large measurement errors in both mental health problems and living standards during adolescence.

Evaluating the maturation of mental health systems in developing countries.

Given the need for a simple tool to evaluate mental healthcare provision at the local level, we compared the duration of untreated mental illness (DUM) and duration of untreated psychosis (DUP) between rural and urban areas in Cambodia, and Cambodia's DUP was also compared with that of other countries. DUM and background data were obtained at the first consultation from 940 participants in Phnom Penh (PP), the capital city, and Siem Reap province (SR) in 2016-2017. DUP data were obtained from DUM by excluding individuals with nonpsychotic mental illnesses (e.g., mood disorders, neurotic disorders, substance use, epilepsy). Student's t-test was used to compare DUM and DUP, and analysis of variance was conducted to identify associations. Mean DUM significantly differed between PP (0.6 [SD 2.3] years) and SR (4.2 [5.9] years). Mean DUP was also significantly different (0.5 [2.2] years in PP vs. 4.3 [6.7] years in SR). DUM was strongly associated with DUP. The prevalence of the various disorders differed between rural and urban areas. DUM also varied by diagnosis, indicating that DUP is a better index than DUM. However, in some cases DUM can be used, given its strong association with DUP. DUP in PP was almost the same as in developed countries and was about four times longer in SR. DUP in rural areas is much longer than in urban areas in developing countries. Although DUP is an effective index, more data from other places and before/after interventions are required to verify it further.

COVID-19 pandemic's impact on networks of depression and anxiety in naturalistic transdiagnostic sample of outpatients with non-psychotic mental illness.

The 2019 coronavirus disease (COVID-19) pandemic has caused an unprecedented disruption of daily lives and a mental health crisis. The present study examined how the depression and anxiety symptom network changed during the COVID-19 pandemic in a naturalistic transdiagnostic sample with non-psychotic mental illness. A total of 224 psychiatric outpatients before the pandemic and 167 outpatients during the pandemic were included in the study and were assessed for the Patient Health Questionnaire and the Beck Anxiety Inventory. The network of depression and anxiety symptoms before and during the pandemic were estimated separately and were assessed differences. The network comparison analysis showed a significant structural difference between the networks before and during the pandemic. Before the pandemic, the most central symptom in the network was feelings of worthlessness, while in the during pandemic network, somatic anxiety emerged as the most central node. Somatic anxiety, which showed the highest strength centrality during the pandemic, showed significantly increased correlation with suicidal ideation during the pandemic. The two cross-sectional network analyses of individuals at one point in time cannot demonstrate causal relationships among measured variables and cannot be assumed to generalize to the intraindividual level. The findings indicate that the pandemic has brought a significant change in the depression and anxiety network and somatic anxiety may serve as a target for psychiatric intervention in the era of the pandemic.

Psychopathological correlates of depression with non-suicidal self-harm in non-psychotic mental illnesses of adolescence

To determine the main clinical and psychopathological features of the relationship between depressive states and non-suicidal self-injury (NSSI) in mental illnesses of the non-psychotic register in adolescence. Clinical data of 128 patients (77 males and 51 females), who presented with depressive states and NSSI in non-psychotic mental disorders during adolescence, were analyzed. The patients were examined at the Clinic of the Mental Health Research Center during the period 2020-2023. The mean age of the patients was 19±4.1 years. Based on the data from studying depression and NSSI in adolescence, we developed a typology, identifying three variants of affect and auto-aggressive activity interactions. The affect-dominant type (25.8%) was characterized by a predominance of affective pathology (p<.05), with the occurrence of impulsive NSSI (45.5%) and demonstrative NSSI (30.3%) (p<0.05). The personality-dominant type (43.0%) was based on pathocharacterological abnormalities (60.0%), where NSSI were represented by impulsive (25.5%), depersonalizing (27.3%), and addictive variants (32.7%) (p<0.05). The reciprocal type (31.3%) exhibited pronounced polymorphism, combining high affect variability with a tendency towards auto-aggressive behavior of varying severity and manifestations of NSSI (p<0.05). In terms of nosological distribution, schizotypal disorder predominated (45.0%) followed by predominantly borderline personality disorder (30.0%) and bipolar affective disorder (25.0%) (p<0.05). In terms of nosological distribution, schizotypal disorder predominated (45.0%), followed by predominantly borderline personality disorder (30.0%) and bipolar affective disorder (25.0%) (p<0.05). Three types of correlation between depression and NSSI were identified, the formation of which was due to the pathoplastic influence of the age factor, nosological affiliation and a certain, including pathological personality structure. Statistically significant regularities between variants of NSSI and types of their interrelation were revealed. The results can be considered as differential diagnostic and prognostic markers of their further trajectories and, therefore, contribute to the creation of new therapeutic strategies, timely diagnosis and earlier intervention.

Prevalence and Determinants of Non-psychotic Mental Illness among Primary Health Care Centers Attendees in Doha, Qatar

Prevalence and Determinants of Non-psychotic Mental Illness among Primary Health Care Centers Attendees in Doha, Qatar

Social integration of people with non-psychotic mental illness over the last 2decades: the widening gap in the adult population in Belgium.

Social integration is poor among people with mental illness (MI). In recent decades, many countries have developed policies to address this issue. It remains unclear, however, whether their social integration has improved over time. This study aimed to assess the evolution of the social integration of adults with moderate and severe non-psychotic MI compared to the general population without MI between 1997 and 2018 in Belgium. Data on the general adult population were retrieved from the Belgian Health Interview Survey in six cross-sectional waves from 1997 to 2018. Three degrees of non-psychotic MI severity were compared using the 12-items General Health Questionnaire: no MI, moderate MI, and severe MI (score < 4, 4-7, and > 7). Social integration was measured using indicators relating to employment, income, social contacts, and partnership. Since 1997, the probability of being unemployed, having limited social contacts, and living on less than 60% of the median national income has been increasing among people with severe non-psychotic MI. Between 1997 and 2018, social integration increased among the general population without MI and among people with moderate non-psychotic MI, but decreased among people with severe non-psychotic MI. The gap between the social integration of people with severe non-psychotic MI and people with moderate or no MI has widened over time, despite major reforms of mental health care and policies. Policymakers and clinical practitioners should pay more attention to supporting the social integration of people with more severe MI, particularly in relation to employability and social support.

The DIAMONDS intervention to support self-management of type 2 diabetes in people with severe mental illness: Study protocol for a single-group feasibility study

Introduction.The DIAMONDS programme aims to evaluate a novel supported diabetes self-management intervention for people with severe mental illness (the “DIAMONDS intervention”). The purpose of this study is to test the feasibility of intervention delivery and data collection procedures to inform a definitive randomised controlled trial (RCT).Methods.Adults aged 18 years or over with a diagnosis of type 2 diabetes and severe mental illness (schizophrenia, schizoaffective disorder, or bipolar disorder) will be eligible for inclusion. Individuals with other types of diabetes or non-psychotic mental illness and those lacking capacity to consent will not be eligible. Participants will be recruited from NHS mental health trusts and general practices across the North of England. All participants will receive the DIAMONDS intervention: weekly one-to-one sessions with a trained facilitator (“DIAMONDS Coach”) to support goal setting, action planning, and diabetes education; ongoing self-management supported by a paper-based workbook and optional digital application (app); and monthly peer-support group sessions with other participants. The primary outcomes are: 1. Recruitment rate, measured as proportion of the recruitment target (N ​= ​30) achieved at 5 months from start of recruitment, 2. Attrition measured as the proportion of missing outcomes data at the end of the recruitment period (5 months from start of recruitment) for physiological and self-reported data items, 3. Intervention delivery rate recorded as the proportion of planned sessions delivered (measured by the number of completed intervention session logs per participant within 15 weeks of the first intervention session). Secondary outcomes include completeness of data collection at baseline and of process evaluation data at follow-up as well as the feasibility and acceptability of the intervention and of wearing a blinded continuous glucose monitoring device. An intervention fidelity framework will also be developed. Recruitment started in July 2021. The study was prospectively registered: ISRCTN15328700 (12th March 2021).Discussion.The results of this feasibility study will inform the refinement of the content and delivery of the DIAMONDS intervention, as well as research procedures, including recruitment and data collection, in preparation for the main DIAMONDS RCT.

Mental health status of students pursuing professional training: A questionnaire-based study.

BACKGROUND:Globally, depression is one of the leading causes of illness and disability among adolescents, and suicide is the third leading cause of death among the young and adolescents. Since we have limited data on the prevalence of psychological distress among the youth of India, our aim was to estimate the prevalence of psychological distress, anxiety, and depression among students of professional colleges.MATERIALS AND METHODS:This study was conducted in Visakhapatnam, Andhra Pradesh (India). A total of 502 apparently healthy students have participated in this study. Data were collected from 243 medical students, 119 engineering students, 103 dental students, and 36 nursing students. A pretested, prevalidated, and structured Kessler's Psychological Distress Scale (K10) was used for the assessment of mental health among students. This is a self-administered questionnaire-based cross-sectional study. Microsoft Office Excel was used for data storage and tabulation. Mean, standard deviation, Chi-square test, Mann–Whitney U-test, and Kruskal–Wallis test were used to find the association difference between various parameters using SPSS 22 software.RESULTS:Out of 502 students, 34.7% of students were found to have normal mental health, 135 students were having mild mental problems, and 116 and 77 had moderate and severe mental illness, respectively. Out of 197 males, 66 were normal, 61, 46, and 24 had mild, moderate, and severe mental problems, respectively. Out of 305 females, only 108 were found to be normal.CONCLUSION:Male students were found to have higher prevalence of mental abnormalities. A significant higher prevalence of depression is seen in day-scholars compared to hostellers. Nursing students are having significantly higher prevalence of depression and nonpsychotic mental illness as compared to dental, engineering, and medical students. Medical students are having the lowest rate of depression than other nonmedical professional subjects.

Cognition in offspring of parents with psychotic and non-psychotic severe mental illness

BackgroundCognitive impairment is a feature of severe mental illness (SMI; schizophrenia, bipolar disorder, major depressive disorder). Psychotic forms of SMI may be associated with greater cognitive impairment, but it is unclear if this differential impairment pre-dates illness onset or whether it reflects a consequence of the disorder. To establish if there is a developmental impairment related to familial risk of psychotic SMI, we investigated cognition in offspring of parents with psychotic and non-psychotic SMI. MethodParticipants included 360 children and youth (mean age 11.10, SD 4.03, range 6–24), including 68 offspring of parents with psychotic SMI, 193 offspring of parents with non-psychotic SMI, and 99 offspring of control parents. The cognitive battery assessed a range of functions using standardized tests and executive function tasks from the Cambridge Automated Neuropsychological Test Battery. ResultsCompared to controls, offspring of parents with psychotic SMI performed worse on overall cognition (β = −0.32; p < 0.001) and 6 of 15 cognitive domains, including verbal intelligence, verbal working memory, processing speed, verbal learning and memory, verbal fluency, and sustained attention. Offspring of parents with non-psychotic SMI performed worse than controls on 3 of the 15 domain specific cognitive tests, including verbal intelligence, visual memory and decision-making. ConclusionsWidespread mild-to-moderate cognitive impairments are present in young offspring at familial risk for transdiagnostic psychotic SMI. Offspring at familial risk for non-psychotic SMI showed fewer and more specific impairments in the domains of verbal intelligence, visual memory and decision-making.

The association between gestational diabetes mellitus, antipsychotics and severe mental illness in pregnancy: A multicentre study.

There have been conflicting findings for severe mental illnesses and the risk for gestational diabetes mellitus (GDM). Outside of pregnancy, both severe mental illnesses and specific antipsychotic medications have been associated with an elevated risk for metabolic disorders, including type2 diabetes mellitus. This study examined the risk of developing GDM in relation to mental disorder, psychotropic treatment and comorbid risk factors. A retrospective study of 539 pregnant women with mental disorders was carried out. Measures included GDM diagnosis, mental health diagnosis, psychotropic medication, body mass index, age, smoking, alcohol and illicit substance use. This study found that women with psychotic disorders had a significantly elevated risk for GDM (20.9%) compared with women with non-psychotic severe mental illnesses during pregnancy (P=0.023), and nearly threefold the expected population rate (8.3%). Furthermore, women using specific antipsychotic agents - risperidone (P=0.016), clozapine (P<0.001) and higher-dose quetiapine (P=0.029) - also had a higher risk of developing GDM. After adjusting for maternal age and body mass index, women taking these specific agents continued to have a fourfold risk of having GDM compared with women not taking these agents. Smoking, alcohol consumption and illicit drug use were not associated with elevated GDM rate in women with mental disorders. These findings support the need for early screening and closer surveillance of metabolic risk in pregnancy for women with psychotic disorders and those taking specific atypical antipsychotic agents.

A population-based study of the frequency and predictors of induced abortion among women with schizophrenia.

Induced abortion is an indicator of access to, and quality of reproductive healthcare, but rates are relatively unknown in women with schizophrenia. We examined whether women with schizophrenia experience increased induced abortion compared with those without schizophrenia, and identified factors associated with induced abortion risk. In a population-based, repeated cross-sectional study (2011-2013), we compared women with and without schizophrenia in Ontario, Canada on rates of induced abortions per 1000 women and per 1000 live births. We then followed a longitudinal cohort of women with schizophrenia aged 15-44 years (n = 11 149) from 2011, using modified Poisson regression to identify risk factors for induced abortion. Women with schizophrenia had higher abortion rates than those without schizophrenia in all years (15.5-17.5 v. 12.8-13.6 per 1000 women; largest rate ratio, 1.33; 95% CI 1.16-1.54). They also had higher abortion ratios (592-736 v. 321-341 per 1000 live births; largest rate ratio, 2.25; 95% CI 1.96-2.59). Younger age (<25 years; adjusted relative risk (aRR), 1.84; 95% CI 1.39-2.44), multiparity (aRR 2.17, 95% CI 1.66-2.83), comorbid non-psychotic mental illness (aRR 2.15, 95% CI 1.34-3.46) and substance misuse disorders (aRR 1.85, 95% CI 1.47-2.34) were associated with increased abortion risk. These results demonstrate vulnerability related to reproductive healthcare for women with schizophrenia. Evidence-based interventions to support optimal sexual health, particularly in young women, those with psychiatric and addiction comorbidity, and women who have already had a child, are warranted.

A latent class analysis of brief postpartum psychiatric hospital admissions

Almost 40% of postpartum psychiatric hospital admissions are brief, lasting 72h or less. We aimed to identify unique subgroups of women within this group to inform better intervention. All women in Ontario, Canada with a brief postpartum psychiatric admission (≤ 72h) (2007–2012)(N = 631) were studied using latent class analysis. We identified distinct subtypes of women and compared women within each subtype on post-discharge mental health indicators: physician visits, emergency department (ED) visits and readmissions. We identified four clinically distinct classes: (1)women with no diagnosed mental illness (2 years before delivery) (n = 179; 28.4% of the sample); (2)women with pre-existing history of severe mental illness (i.e. psychosis) (n = 161; 25.5%); (3)women with pre-existing history of non-psychotic mental illness (n = 211; 33.4%); and (4)adolescent rural-dwelling women with alcohol and substance use disorders (n = 80; 12.7%). In the 1 year post-discharge, women in classes 1–3 were more likely to have post-discharge physician visit than women in class 4 (p < 0.05) and were less likely to have a psychiatric ED visit (p < 0.05). Women in class 2 were most likely to be readmitted (p < 0.05). We identified clinically distinct subgroups of women with brief postpartum psychiatric admissions who may each benefit from differing targeted preventive strategies and post-discharge treatment planning.

The clinical impact of a positive family history of psychosis or mental illness in psychotic and non-psychotic mentally ill adolescents

Background: A family history of psychosis is associated with negative clinical characteristics of psychosis.Aim: We aimed to determine the relationship between a family history (in first-degree relatives) of psychosis (FHP) or of any mental illness (FHM), and the clinical features (including cannabis use) of first episode early onset psychosis (EOP).Method: Forty-five adolescents with first episode EOP presenting to psychiatric services were assessed by clinical interview with the following tools: socio-demographic questionnaire, Positive and Negative Syndrome Scale (PANSS), Symptom Onset in Schizophrenia (SOS) inventory, and the World Health Organisation's (WHO) Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) for cannabis misuse. Forty-five gender and age matched controls with incident non-psychotic mental illness were recruited from the same clinical sites.Results: While there was evidence of trend associations, EOP adolescents and controls did not differ in terms of either FHP or FHM. However, adolescents with a non-psychotic mental illness (controls) were significantly more likely to have a family history of non-psychotic mental illness (EOP = 13%; controls = 47%, p = 0.001). In EOP adolescents, a positive FHP was associated with a significantly lower mean PANSS positive score (p = 0.009), but not with other clinical features.Conclusion: FHP may be a diagnostic clue in adolescents and is not necessarily associated with negative clinical characteristics at disease onset in EOP. However, this requires further research.

Running acceptance and commitment therapy groups for psychosis in community settings

In this paper, we discuss the practice implications of our group Acceptance and Commitment Therapy for psychosis (ACTp) evaluations, in terms of the adaptations required to ACT interventions for group implementation in routine services for people with psychosis. ACTp shows promise as a brief individual intervention for people with psychosis to improve recovery, reduce future relapse, and reduce healthcare costs. Outcomes for group ACT interventions for non-psychotic severe mental illnesses support the potential for further cost-savings, through group delivery, and two recent trials suggest that adapting group ACT interventions to suit people with psychosis is both feasible and clinically effective. Trials were run from 2010–2014, and included people with psychosis and caregivers. Qualitative feedback was collected from group participants and service user co-facilitators. Based on this experience, we recommend psychosis-specific content for group interventions, and highlight process considerations to accommodate the particular needs of people with psychosis and their caregivers. With these adaptations, group ACTp can be feasible, acceptable, and effective as a routine frontline intervention in services for people with psychosis, however; this work is in the preliminary stages and further research is needed to consolidate the evidence base.

Physical health behaviours and health locus of control in people with schizophrenia-spectrum disorder and bipolar disorder: a cross-sectional comparative study with people with non-psychotic mental illness

BackgroundPeople with mental illness experience high levels of morbidity and mortality from physical disease compared to the general population. Our primary aim was to compare how people with severe mental illness (SMI; i.e. schizophrenia-spectrum disorders and bipolar disorder) and non-psychotic mental illness perceive their: (i) global physical health, (ii) barriers to improving physical health, (iii) physical health with respect to important aspects of life and (iv) motivation to change modifiable high-risk behaviours associated with coronary heart disease. A secondary aim was to determine health locus of control in these two groups of participants.MethodsPeople with SMI and non-psychotic mental illness were recruited from an out-patient adult mental health service in London. Cross-sectional comparison between the two groups was conducted by means of a self-completed questionnaire.ResultsA total of 146 people participated in the study, 52 with SMI and 94 with non-psychotic mental illness. There was no statistical difference between the two groups with respect to the perception of global physical health. However, physical health was considered to be a less important priority in life by people with SMI (OR 0.5, 95% CI 0.2-0.9, p = 0.029). There was no difference between the two groups in their desire to change high risk behaviours. People with SMI are more likely to have a health locus of control determined by powerful others (p < 0.001) and chance (p = 0.006).ConclusionsPeople with SMI appear to give less priority to their physical health needs. Health promotion for people with SMI should aim to raise awareness of modifiable high-risk lifestyle factors. Findings related to locus of control may provide a theoretical focus for clinical intervention in order to promote a much needed behavioural change in this marginalised group of people.

A Delphi Study of Problems in Providing Community Care to Patients With Nonpsychotic Chronic Mental Illness

A Delphi Study of Problems in Providing Community Care to Patients With Nonpsychotic Chronic Mental Illness

Explanatory models of mental disorders and treatment practices among traditional healers in Mpumulanga, South Africa

In many traditional belief systems in Africa, including South Africa, mental health problems may be attributed to the influence of ancestors or to bewitchment. Traditional healers are viewed as having the expertise to address these causes. However, there is limited information on their explanatory models and consequent treatment practices. The present study examines traditional healers' explanatory models (EMs) and treatment practices for psychotic and non-psychotic mental illnesses. 4 focus group discussions (8 healers in each group) and 18 in-depth interviews were conducted. Four vignettes were presented (schizophrenia, depression, panic and somatisation) and traditional healers' views on the nature of the problem, cause, consequence, treatment and patient expectations were elicited. Traditional healers held multiple explanatory models for psychotic and non-psychotic disorders. Psychotic illnesses appear to be the main exemplar of mental illness and were treated with traditional medicine, while nonpsychotic illnesses were not viewed as a mental illness at all. Additionally, traditional healers do not only use herbs and substances solely from "traditional" sources but rather have incorporated into their treatment practices modern ingredients that are potentially toxic. Interventions aimed at increasing the mental health literacy of traditional healers are essential. In addition, investigations of the effectiveness of traditional healer treatment for psychiatric disorders should be conducted.

A Delphi Study of Problems in Providing Community Care to Patients With Nonpsychotic Chronic Mental Illness

A Delphi Study of Problems in Providing Community Care to Patients With Nonpsychotic Chronic Mental Illness

A Delphi Study of Problems in Providing Community Care to Patients With Nonpsychotic Chronic Mental Illness

The study identified problems that professionals perceive in community care of patients with nonpsychotic chronic mental illness. Eight national experts from the Netherlands participated in a four-phase modified Delphi procedure to identify and rate the urgency of problems in patient care and the extent to which problems were amenable to change. A total of 39 problems were identified in five categories: patients, professionals, their interactions, the family and social system, and the mental health system. Participants noted the many social problems of these patients and their unusual help-seeking behavior. They often perceived these patients as able but unwilling to get better. They also noted that their diagnoses tend to be unclear and shifting and that more precise classifications would help in development of treatments. Elucidating the distinction between the psychiatric symptoms of these patients and their unusual help-seeking behavior may improve diagnosis and patient care.

Pharmacologic Treatment of Posttraumatic Stress Disorder Among Privately Insured Americans

Although psychological trauma affects millions of Americans, few studies have examined treatment of posttraumatic stress disorder (PTSD) in real-world service environments. This study explored pharmacological treatment of PTSD among privately insured individuals. Data were from the MarketScan database, which compiles claims from private health insurance plans nationwide. Descriptive statistics and multivariate logistic regression were used to identify predictors of any use of a psychotropic medication and use of three medication classes: antidepressants, anxiolytics or sedative-hypnotics, and antipsychotics. Of 860,090 adult mental health care users in 2005, only 10,636 (1.2%) had a diagnosis of PTSD. Sixty percent of PTSD patients received any psychotropic medication: 74.3% of those received antidepressants, 73.7% received anxiolytics or sedative-hypnotics, and 21.3% received antipsychotics. Greater likelihood of any medication use was associated with greater use of mental health services and with several comorbid psychiatric disorders. Having a comorbid diagnosis of an indicated disorder was the most robust predictor of use of each of the three medication classes: major depressive disorder and dysthymia were most strongly associated with antidepressant use, schizophrenia and bipolar disorder were associated with antipsychotic use, and anxiety disorders were associated with use of anxiolytics or sedative-hypnotics. Psychotropic medications were frequently used in the treatment of PTSD among privately insured clients. Although use targeted specifically to PTSD and to comorbid disorders was common, substantial use appeared to be unrelated to diagnosis and may be targeted at specific symptoms rather than diagnosed illnesses. Further research is needed to determine symptom-specific responses to medications across diagnoses.