Epidemiology of depression with psychotic experiences and its association with chronic physical conditions in 47 low- and middle-income countries

Prevalence and risk factors for psychotic symptoms in young, first-episode and drug-naïve patients with major depressive disorder

BACKGROUND

Major depressive disorder (MDD) is a common psychiatric disorder worldwide. Psychotic depression has been reported to be frequently under-diagnosed due to poor recognition of psychotic features. Therefore, the purpose of this study was to reveal the rate and risk factors of psychotic symptoms in young, drug-naïve patients with major depressive disorder at the time of their first episode.

METHODS

A total of 917 patients were recruited and divided into psychotic and non-psychotic subgroups based on the Positive and Negative Syndrome Scale (PANSS) positive subscale score. Anxiety symptoms and depressive symptoms were measured by the Hamilton Anxiety Rating Scale (HAMA) and the 17-item Hamilton Depression Rating Scale (HAMD-17), respectively. Several biochemical indicators such as total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), thyroid stimulating hormone (TSH), free triiodothyronine (FT3), and free thyroxine (FT4) were also measured.

RESULTS

The rate of psychotic symptoms among young adult MDD patients was 9.1%. There were significant differences in TSH (p<0.001), FBG (p<0.001), TC (p<0.0001), TG (p = 0.001), HDL-C (p = 0.049), LDL-C (p = 0.010), diastolic blood pressure (DP) (p<0.001), systolic blood pressure (SP) (p<0.001), and HAMD total score (p<0.001) between young MDD patients with and without psychotic depression. HAMD, TSH, TC, and severe anxiety were independently associated with psychotic symptoms in young adult MDD patients. In addition, among young MDD patients, the rate of suicide attempts in the psychotic subgroup was much higher than in the non-psychotic subgroup (45.8% vs. 16.9%).

CONCLUSIONS

Our findings suggest that psychotic symptoms are common in young MDD patients. Several clinical variables and biochemical indicators are associated with the occurrence of psychotic symptoms in young MDD patients.

Prevalence and correlates of severe anxiety in patients with first hospitalization for major depressive disorder combined with dyslipidemia: a large sample cross-sectional study

Background

Anxiety symptoms and dyslipidemia are common co-morbidities in patients with major depressive disorder (MDD), and there are complex pathophysiologic as well as clinical mechanisms underlying the association between the three. In this study, we investigated the prevalence and associated factors of severe anxiety in first-time hospitalized patients with MDD with dyslipidemia.

Methods

We included 708 patients with major depressive disorder with comorbid dyslipidemia and collected their sociodemographic and general clinical data as well as biochemical parameters such as lipids, thyroid function, and blood glucose. We also completed the Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Positive Symptom Scale (PSS), and Clinical General Impression Scale (CGI) to assess their clinical symptoms.

Results

The prevalence of severe anxiety disorder was 11.02% in patients with MDD with comorbid dyslipidemia. Suicidal history, female gender, body mass index (BMI), HAMD score, PSS score, and FT4 level were risk factors for the development of severe anxiety symptoms. Higher HAMD scores, higher PSS scores, and suicidal history were influential factors in exacerbating severe anxiety symptoms.

Conclusion

This study reports and identifies the prevalence of severe anxiety symptoms in first-time hospitalized MDD patients with dyslipidemia, as well as risk factors for anxiety symptoms and factors influencing their severity, and these identified factors may be potentially helpful and informative in preventing and intervening in severe anxiety disorders in this target population.

Prevalence of co-occurring severe depression and psychotic symptoms in college students and its relationship with childhood maltreatment

BACKGROUND

It has been demonstrated that childhood maltreatment (CM) is associated with an increased risk of depression and psychotic symptoms. However, there is still a lack of studies on the prevalence of co-occurring severe depression and psychotic symptoms (CSDPS) and the association between CM and CSDPS among college students.

OBJECTIVE

We aim to investigate the prevalence and demographic distribution of CSDPS among Chinese college students and to examine its relationship with CM.

PARTICIPANTS AND SETTING

A total of 7351 college students aged 18 and above completed the survey. Finally, 6854 valid questionnaires were included for further analysis.

METHODS

The Childhood Trauma Questionnaire and the item for witnessing domestic violence were used to assess the CM. The Prodromal Questionnaire-16 and the depression subscale of the Depression Anxiety and Stress-21 scale were used to assess psychotic symptoms and depressive symptoms.

RESULTS

The prevalence of CSDPS was 1.47 % among the college students. The multivariate logistic regression analysis showed that emotional abuse and emotional neglect were associated with an increased risk of CSDPS (all p < 0.05). The risk of CSDPS was dramatically increased for individuals who had experienced ≥3 types of CM (OR = 22.929, p < 0.001), as compared to those who had experienced 1-2 types of CM (OR = 4.452, p < 0.001) and those without the experience of CM.

CONCLUSION

CM was found to be associated with an increased risk of CSDPS among the college students. Notably, experiencing more types of CM was also associated with a higher risk of CSDPS.

Association between thyroid function and psychotic symptoms in adolescents with major depressive disorder: A large sample sized cross-sectional study in China

Backgrounds

Thyroid function was associated with depression and psychotic symptoms; however, little research has focused on its role in coexisting psychotic symptoms in adolescents with depressive disorder. This study aimed to explore the association between thyroid function and psychotic symptoms among depression adolescents.

Methods

A total of 679 adolescent patients (aged 12-18) diagnosed as depressive disorder were recruited. Their socio-demographic, clinical data and thyroid function parameters were collected. The severity of psychotic symptoms was measured according to the assessment measure in DSM-5. Based on the severity of psychotic symptoms, patients were distributed into psychotic depression (PD) and non-psychotic depression (NPD) subgroups, respectively.

Results

The prevalence rate of PD was 52.7% among adolescents with depressive disorder in this study. PD patients were younger (p < 0.01), with more female (p < 0.001) and non-Han nationality (p < 0.01), and presented serum FT4 level decrease (p < 0.01). PD patients displayed a higher rate of abnormal thyroid relevant parameters (p < 0.05). 35.2% of PD patients presented at least one abnormal parameter among all five parameters tested (TSH, TT3, FT3, TT4, and FT4), compared to 27.4% among NPD patients. Further logistic regression analysis indicated that increased serum FT4 level was a protective effect of PD with an adjusted odds ratio (OR) of 0.615. We did not find a statistically significant difference in the family history of mental disorders, serum TSH, TT3, FT3, and TT4 levels.

Conclusions

Our results suggested a high prevalence of PD among depression adolescents, associated with younger age, female, non-Han nationality, and decreased serum FT4 level. We recommend that adolescents with depressive disorder regularly screen their serum FT4 levels for better clinical outcomes.

Self-Reported Chronic Back Pain and Current Depression in Brazil: A National Level Study

There is limited literature investigating the association between chronic back pain (CBP) and depression in Brazil. This study evaluates the association between CBP, CBP-related physical limitations (CBP-RPL), and self-reported current depression (SRCD), in a nationally representative sample of Brazilian adults. The data for this cross-sectional study came from the 2019 Brazilian National Health Survey (n = 71,535). The Personal Health Questionnaire depression scale (PHQ-8) was used to measure the SRCD outcome. The exposures of interest were self-reported CBP and CBP-RPL (none, slight, moderate, and high limitation). Multivariable weighted and adjusted logistic regression models were used to investigate these associations. The weighted prevalence of SRCD among CBP was 39.5%. There was a significant weighted and adjusted association between CBP and SRCD (weighted and adjusted odds ratio (WAOR) 2.69 (95% CI: 2.45-2.94). The WAOR of SRCD among individuals with high, moderate, and slight levels of physical limitation was significantly greater than for those without physical limitation due to CBP. Among Brazilian adults with high levels of CBP-RPL, there was over a five-fold increased risk of SRCD compared to those without CBP-RPL. These results are important for increasing awareness of the link between CBP and SRCD and for informing health services policies.

Prevalence and related factors of anxiety in first episode and drug naïve Chinese Han outpatients with psychotic major depression

BACKGROUND

Anxiety frequently occurs with major depressive disorder (MDD) but to a different extent in the various subtypes. Psychotic major depression (PMD) is a severe subtype of MDD that is under-identified and under-studied. We investigated the prevalence and related risk factors of anxiety in PMD patients.

METHODS

A total of 1718 first episode and drug naïve MDD patients were recruited. Measures included the Hamilton Depression Scale (HAMD), Clinical Global Impression-Severity scale (CGI-S), Hamilton Anxiety Scale (HAMA), and positive symptom scale of the Positive and Negative Syndrome Scale (PANSS), thyroid hormone levels, and metabolic parameters.

RESULTS

171 of the entire MDD study sample met the criteria for the PMD subtype. The prevalence of severe anxiety was much higher in PMD patients (22.8 %) than in non-PMD patients (0.4 %) (χ² = 294.69, P < 0.001, OR = 75.88, 95 % CI = 31.55-182.52). Compared to PMD patients without severe anxiety, PMD patients with severe anxiety had higher HAMD score, CGI-S score, positive symptom subscale score, suicide attempts, blood pressure, thyroid-stimulating hormone (TSH), anti-thyroglobulin (TgAb), and thyroid peroxidases antibody (TPOAb) levels. Furthermore, logistic regression analysis indicated that HAMD score and TSH levels were associated with severe anxiety in PMD patients.

LIMITATIONS

Our cross-sectional study cannot explain the causal relationship between anxiety severity and risk factors in PMD patients.

CONCLUSIONS

Our results suggest that PMD patients are more likely to experience severe anxiety than non-PMD patients. The severity of depression and TSH levels are independent risk factors for anxiety in PMD patients.

Alterations in Plasma Lipidomic Profiles in Adult Patients with Schizophrenia and Major Depressive Disorder

Background and Objectives: Lipidomics is a pivotal tool for investigating the pathogenesis of mental disorders. However, studies qualitatively and quantitatively analyzing peripheral lipids in adult patients with schizophrenia (SCZ) and major depressive disorder (MDD) are limited. Moreover, there are no studies comparing the lipid profiles in these patient populations. Materials and Method: Lipidomic data for plasma samples from sex- and age-matched patients with SCZ or MDD and healthy controls (HC) were obtained and analyzed by liquid chromatography-mass spectrometry (LC-MS). Results: We observed changes in lipid composition in patients with MDD and SCZ, with more significant alterations in those with SCZ. In addition, a potential diagnostic panel comprising 103 lipid species and another diagnostic panel comprising 111 lipid species could distinguish SCZ from HC (AUC = 0.953) or SCZ from MDD (AUC = 0.920) were identified, respectively. Conclusions: This study provides an increased understanding of dysfunctional lipid composition in the plasma of adult patients with SCZ or MDD, which may lay the foundation for identifying novel clinical diagnostic methods for these disorders.

Psychotic experiences among informal caregivers: findings from 48 low- and middle-income countries

PURPOSE

Informal caregivers may be at high risk for psychotic experiences (PE) due to caregiving related stress, sleep issues, or other potential mechanisms, but this has not been previously investigated in the general adult population. Thus, we examined the association between caregiving and PE, and its mediators, in a large sample of adults from 48 low- and middle-income countries (LMICs).

METHODS

Cross-sectional, community-based data from the World Health Organization (WHO) World Health Survey were analyzed. Informal caregivers referred to those who provided help to a relative or friend (adult or child) in the past year, because this person has a long-term physical or mental illness or disability, or is getting old and weak. PE were assessed using the WHO Composite International Diagnostic Interview psychosis screen. Multivariable logistic regression and mediation analyses were conducted.

RESULTS

Data on 224,842 individuals were analyzed. The mean (SD) age was 38.3 (16.0) years (range 18-120 years) and 50.7% were females. After adjustment for age, sex, and country, in the overall sample, caregiving was associated with 1.67 (95%CI = 1.56-1.79) times higher odds for PE. Sleep/energy explained the largest proportion of the association between caregiving and PE (13.9%), followed by pain/discomfort (11.5%), perceived stress (7.6%), depression (6.2%), and cognition (3.5%).

CONCLUSION

Caregivers in LMICs are at higher risk of PE. Future studies are warranted to gain a further understanding of the underlying mechanisms, and to assess whether addressing the identified mediators can lead to lower risk for PE among caregivers.

The association between asthma and perinatal mental illness: a population-based cohort study

BACKGROUND

Asthma is a risk factor for mental illness, but few studies have explored this association around the time of pregnancy. We studied the association between asthma and perinatal mental illness and explored the modifying effects of social and medical complexities.

METHODS

In a population-based cohort of 846 155 women in Ontario, Canada, with a singleton live birth in 2005-2015 and no recent history of mental illness, modified Poisson regression models were constructed to examine the association between asthma diagnosed before pregnancy and perinatal mental illness, controlling for socio-demographics and medical history. We explored the modifying effects of social and medical complexities using relative excess risk due to interaction. Additional analyses examined the association between asthma and perinatal mental illness by timing and type of mental illness.

RESULTS

Women with asthma were more likely than those without asthma to have perinatal mental illness [adjusted relative risk (aRR) 1.14; 95% (confidence interval) CI: 1.13, 1.16]. Asthma was associated with increased risk of diagnosis of mental illness prenatally (aRR 1.11; 95% CI: 1.08, 1.13) and post-partum (aRR 1.17; 95% CI: 1.15, 1.19) and specifically diagnoses of mood and anxiety disorders (aRR 1.14; 95% CI: 1.13, 1.16), psychotic disorders (aRR 1.20; 95% CI: 1.10, 1.31) and substance- or alcohol-use disorders (aRR 1.24; 95% CI: 1.14, 1.36). There was no effect modification related to social or medical complexity for these outcomes.

CONCLUSIONS

Women with asthma predating pregnancy are at slightly increased risk of mental illness in pregnancy and post-partum. A multidisciplinary management strategy may be required to ensure timely identification and treatment.

Interventions for preventing type 2 diabetes in adults with mental disorders in low- and middle-income countries

BACKGROUND

The prevalence of type 2 diabetes is increased in individuals with mental disorders. Much of the burden of disease falls on the populations of low- and middle-income countries (LMICs).

OBJECTIVES

To assess the effects of pharmacological, behaviour change, and organisational interventions versus active and non-active comparators in the prevention or delay of type 2 diabetes among people with mental illness in LMICs.

SEARCH METHODS

We searched the Cochrane Common Mental Disorders Controlled Trials Register, CENTRAL, MEDLINE, Embase and six other databases, as well as three international trials registries. We also searched conference proceedings and checked the reference lists of relevant systematic reviews. Searches are current up to 20 February 2020.

SELECTION CRITERIA

Randomized controlled trials (RCTs) of pharmacological, behavioural or organisational interventions targeting the prevention or delay of type 2 diabetes in adults with mental disorders in LMICs.

DATA COLLECTION AND ANALYSIS

Pairs of review authors working independently performed data extraction and risk of bias assessments. We conducted meta-analyses using random-effects models.

MAIN RESULTS

One hospital-based RCT with 150 participants (99 participants with schizophrenia) addressed our review's primary outcome of prevention or delay of type 2 diabetes onset. Low-certainty evidence from this study did not show a difference between atypical and typical antipsychotics in the development of diabetes at six weeks (risk ratio (RR) 0.46, 95% confidence interval (CI) 0.03 to 7.05) (among a total 99 participants with schizophrenia, 68 were in atypical and 31 were in typical antipsychotic groups; 55 participants without mental illness were not considered in the analysis). An additional 29 RCTs with 2481 participants assessed one or more of the review's secondary outcomes. All studies were conducted in hospital settings and reported on pharmacological interventions. One study, which we could not include in our meta-analysis, included an intervention with pharmacological and behaviour change components. We identified no studies of organisational interventions. Low- to moderate-certainty evidence suggests there may be no difference between the use of atypical and typical antipsychotics for the outcomes of drop-outs from care (RR 1.31, 95% CI 0.63 to 2.69; two studies with 144 participants), and fasting blood glucose levels (mean difference (MD) 0.05 lower, 95% CI 0.10 to 0.00; two studies with 211 participants). Participants who receive typical antipsychotics may have a lower body mass index (BMI) at follow-up than participants who receive atypical antipsychotics (MD 0.57, 95% CI 0.33 to 0.81; two studies with 141 participants; moderate certainty of evidence), and may have lower total cholesterol levels eight weeks after starting treatment (MD 0.35, 95% CI 0.27 to 0.43; one study with 112 participants). There was moderate certainty evidence suggesting no difference between the use of metformin and placebo for the outcomes of drop-outs from care (RR 1.22, 95% CI 0.09 to 16.35; three studies with 158 participants). There was moderate-to-high certainty evidence of no difference between metformin and placebo for fasting blood glucose levels (endpoint data: MD -0.35, 95% CI -0.60 to -0.11; change from baseline data: MD 0.01, 95% CI -0.21 to 0.22; five studies with 264 participants). There was high certainty evidence that BMI was lower for participants receiving metformin compared with those receiving a placebo (MD -1.37, 95% CI -2.04 to -0.70; five studies with 264 participants; high certainty of evidence). There was no difference between metformin and placebo for the outcomes of waist circumference, blood pressure and cholesterol levels. Low-certainty evidence from one study (48 participants) suggests there may be no difference between the use of melatonin and placebo for the outcome of drop-outs from care (RR 1.00, 95% CI 0.38 to 2.66). Fasting blood glucose is probably reduced more in participants treated with melatonin compared with placebo (endpoint data: MD -0.17, 95% CI -0.35 to 0.01; change from baseline data: MD -0.24, 95% CI -0.39 to -0.09; three studies with 202 participants, moderate-certainty evidence). There was no difference between melatonin and placebo for the outcomes of waist circumference, blood pressure and cholesterol levels. Very low-certainty evidence from one study (25 participants) suggests that drop-outs may be higher in participants treated with a tricyclic antidepressant (TCA) compared with those receiving a selective serotonin reuptake inhibitor (SSRI) (RR 0.34, 95% CI 0.11 to 1.01). It is uncertain if there is no difference in fasting blood glucose levels between these groups (MD -0.39, 95% CI -0.88 to 0.10; three studies with 141 participants, moderate-certainty evidence). It is uncertain if there is no difference in BMI and depression between the TCA and SSRI antidepressant groups.

AUTHORS' CONCLUSIONS

Only one study reported data on our primary outcome of interest, providing low-certainty evidence that there may be no difference in risk between atypical and typical antipsychotics for the outcome of developing type 2 diabetes. We are therefore not able to draw conclusions on the prevention of type 2 diabetes in people with mental disorders in LMICs. For studies reporting on secondary outcomes, there was evidence of risk of bias in the results. There is a need for further studies with participants from LMICs with mental disorders, particularly on behaviour change and on organisational interventions targeting prevention of type 2 diabetes in these populations.

A Latent Class Analysis of Manic and Psychotic Symptoms

Bipolar spectrum disorders encompass heterogeneous clinical manifestations and comorbidities. A latent class analysis (LCA) was performed in 1846 subjects who experienced an episode of abnormally elevated or irritable mood to identify homogeneous groups of subjects, based on the distribution of 11 manic and 7 psychotic symptoms. LCA identified five classes: 1) two classes with irritability and with low and high level of psychosis (respectively "irritable," 29.1% of the sample, and "irritable-psychotic," 16.2%); 2) a class with expansive mood and hyperactivity ("expansive-hyperactive," 12.7%); and 3) two classes with manic symptoms and high and low level of psychosis ("manic-psychotic," 15.0%, and "manic," 27.2%). "Irritable" displayed lower rates of depressive episode, panic, and substance use disorders. Manic-psychotic displayed higher rates of depressive episode, panic, generalized anxiety, and substance use disorders. Use of mental health treatment more frequent in manic-psychotic and manic classes. Five classes of bipolar spectrum disorders were characterized by different sociodemographic and clinical patterns.

Sex differences in psychotic and non-psychotic major depressive disorder in a Chinese Han population

BACKGROUND

Sex differences between psychotic depression (PD) and non-psychotic depression (NPD) have received little systematic study. This study was conducted to investigate sex difference in patients with psychotic and non-psychotic major depressive disorder in a Chinese Han population.

METHODS

In this cross-sectional study, a total of 1718 first-episode and drug-naïve outpatients with major depressive disorder were recruited. Demographic and clinical characteristics were collected. All subjects were rated on the Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA) and the Positive and Negative Syndrome Scale (PANSS).

RESULTS

The prevalence of PD in female patients (10.97%) was higher than that in male patients (7.99%). Analysis of variance (ANOVA) showed that female patients were older compared with male patients in NPD group, but there were no significant differences in demographic and clinical variables between female and male PD patients. Further, there were no sex differences in the scores of HAMD, HAMA and positive symptom subscale of PANSS in both PD and NPD groups. Two-way ANOVA showed that PD patients had significantly higher scores on the HAMD, HAMA and positive symptom subscale of PANSS than non-PD patients. However, there were no significant effects of sex and sex* subtypes.

LIMITATIONS

The main limitations are cross-sectional design and inability to control selection bias.

CONCLUSIONS

Our findings show significant differences in clinical profiles between PD and NPD patients; however, no sex difference has been observed in the either PD or NPD patients.

Prevalence and clinical correlates of psychotic depression in first-episode and drug-naïve outpatients with major depressive disorder in a Chinese Han population

BACKGROUND

Few systemic studies of psychotic depression (PD) have been conducted in first-episode and drug-naïve (FEDN) patients. This study was to examine the prevalence of PD and its clinical correlates in a large sample of FEDN outpatients with major depressive disorder (MDD) in a Chinese Han population, which to our best knowledge has not been studied.

METHODS

In this cross-sectional study, a total of 1718 FEDN MDD outpatients were recruited. All patients were rated on the positive symptom subscale of the Positive and Negative Syndrome Scale (PANSS) for psychotic symptoms, the 17-item Hamilton Depression Rating Scale (HAMD-17) for depression and Hamilton Anxiety Rating Scale (HAMA) for anxiety.

RESULTS

The prevalence of PD was 10.0% (171/1718) in MDD patients. Compared to the non-PD patients, PD patients had significantly older age, lower educational levels, higher anxiety symptom score and were more likely to attempt suicide. Further logistic regression analysis indicated that PD was associated with older age, suicide attempt and comorbid anxiety (all p < 0.05). Multiple regression analyses showed that both HAMD and HAMA total scores were significantly associated with PANSS positive symptom subscale score.

LIMITATIONS

Our cross-sectional study design does not show a direct causal relationship between psychiatric symptoms and related factors in patients with MDD.

CONCLUSIONS

Our results suggest a high prevalence of PD in MDD patients in the acute early stage in a Chinese Han population, which is associated with demographic variables and clinical symptoms.

Prevalence of depression among the elderly (60 years and above) population in India, 1997-2016: a systematic review and meta-analysis

BACKGROUND

There is lack of information on the magnitude of depression among elderly population in India. This systematic review and meta-analysis aimed to estimate the prevalence of depression among elderly population in India.

METHODS

PubMed, Scopus, Web of Science, Embase, PsycINFO, IndMed, and Google Scholar were searched to identify articles reported community-based prevalence of depression among elderly population using screening tools. This study included the articles published during the years 1997 to 2016. Studies conducted in the special population groups, hospitals, reported only a subcategory of depression, and not specified the screening tool were excluded. Data were extracted from published reports and any missing information was requested from authors. Estimates were pooled using random-effects meta-analyses. Subgroup and sensitivity analysis were performed. The publication bias was evaluated by using Egger's test and visual inspection of the symmetry in funnel plots.

RESULTS

Fifty-one studies from 16 States of India were included as 56 datasets, which estimated the prevalence of depression among Indian elderly population as 34.4% (95% CI: 29.3-39.7). In sub-group analysis, the pooled prevalence was higher among females, rural populations, and in the eastern part of the country. Studies using non-probability sampling, and GDS and CES-D screening tool showed higher prevalence. Exclusion of the studies with sample size less than 100 and low-quality studies (score < 5/8) had no effect on the estimate of the prevalence. The studies that excluded dementia before assessment of depression had lower prevalence.

CONCLUSION

About one third elderly population of India suffered from depression with female preponderance. The estimates varied with type of study tool, geographic region, sampling methods, and presence of dementia. The pooled estimate should be interpreted with caution as the studies included in this review had varied methodological approach and screening tools.

Psychotic experiences in the context of mood and anxiety disorders and their associations with health outcomes among people of color in the United States

BACKGROUND

Psychotic experiences appear to increase risk for health outcomes above and beyond mood/anxiety disorders. However, existing studies that have found this association were conducted mostly in low- and middle-income countries, calling for more studies to explore the association in other contexts, such as the U.S., where people of color face considerable health disparities.

MATERIALS/METHODS

Data from the National Latino and Asian American Survey, and the National Survey of American Life were analyzed. After restricting the analytic sample to individuals with at least one mood or anxiety disorder (N = 2929), multivariable logistic regression was used to examine the associations between psychotic experiences and health outcomes, disabilities, and help-seeking behaviors, adjusting for socio-demographic characteristics and psychiatric disorders.

RESULTS

Among people of color with mood/anxiety disorders, 16.58% (n = 519) of the weighted analytic sample reported psychotic experiences. Psychotic experiences were associated with 1.75 times greater odds (95% CI: 1.24-2.47) for reporting a lifetime health condition, with varying odds depending on the specific conditions (e.g. arthritis, heart disease, ulcers, and asthma), and specific disabilities (e.g. cognition, mobility, social interaction, and time out of role). Psychotic experiences were associated with 1.66 times the odds of seeking any treatment (95% CI: 1.20-2.29), and the perceived need for help among people who did not seek treatment (e.g. feeling the need for treatment, being encouraged to seek treatment by others).

CONCLUSIONS

Mental health practitioners serving people of color who have mood/anxiety disorders should routinely screen for psychotic experiences, which may suggest health problems and disabilities that warrant integrated healthcare.

Psychotic experiences and general medical conditions: a cross-national analysis based on 28 002 respondents from 16 countries in the WHO World Mental Health Surveys

BACKGROUND

Previous work has identified associations between psychotic experiences (PEs) and general medical conditions (GMCs), but their temporal direction remains unclear as does the extent to which they are independent of comorbid mental disorders.

METHODS

In total, 28 002 adults in 16 countries from the WHO World Mental Health (WMH) Surveys were assessed for PEs, GMCs and 21 Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) mental disorders. Discrete-time survival analyses were used to estimate the associations between PEs and GMCs with various adjustments.

RESULTS

After adjustment for comorbid mental disorders, temporally prior PEs were significantly associated with subsequent onset of 8/12 GMCs (arthritis, back or neck pain, frequent or severe headache, other chronic pain, heart disease, high blood pressure, diabetes and peptic ulcer) with odds ratios (ORs) ranging from 1.3 [95% confidence interval (CI) 1.1-1.5] to 1.9 (95% CI 1.4-2.4). In contrast, only three GMCs (frequent or severe headache, other chronic pain and asthma) were significantly associated with subsequent onset of PEs after adjustment for comorbid GMCs and mental disorders, with ORs ranging from 1.5 (95% CI 1.2-1.9) to 1.7 (95% CI 1.2-2.4).

CONCLUSIONS

PEs were associated with the subsequent onset of a wide range of GMCs, independent of comorbid mental disorders. There were also associations between some medical conditions (particularly those involving chronic pain) and subsequent PEs. Although these findings will need to be confirmed in prospective studies, clinicians should be aware that psychotic symptoms may be risk markers for a wide range of adverse health outcomes. Whether PEs are causal risk factors will require further research.

Insomnia, negative affect, and psychotic experiences: Modelling pathways over time in a clinical observational study

Insomnia has been shown to contribute to the development of psychotic experiences, predominantly via increasing negative affect. However, the role of insomnia in the persistence of psychotic experiences is yet to be investigated in a clinical population. Furthermore, other plausible influences, such as psychotic experiences contributing to insomnia, remain to be evaluated. This study tests the role of insomnia as a predictor of persistence of psychotic experiences versus other potential causal routes. Twenty-nine patients aged 18-30 with non-affective psychosis completed three assessments over three months of their insomnia, negative affect, and psychotic experiences. Mixed effect models allowed comparisons between hypothesis-based models (comprising insomnia as predictor, negative affect as mediator, and psychotic experiences as outcome) and oppositional models, where relationships were reversed. The results supported the hypothesised mediation model above models where negative affect was primary. Insomnia was also found to be a stronger predictor of later hallucinations than vice versa, although a bidirectional relationship was indicated between insomnia and paranoia. In conclusion, insomnia predicts persistence of psychotic experiences over time to the same or greater extent than psychotic experiences contribute to insomnia. This supports insomnia as a potential intervention target in psychosis.

Effect of Physical State on Pain Mediated Through Emotional Health in Rheumatoid Arthritis

OBJECTIVE

Pain is one of the main symptoms of patients with rheumatoid arthritis (RA). Pain in RA is caused by specific physical changes, such as joint destruction, and is therefore used as a disease activity marker. Although pain can also be influenced by emotional factors, neither the effect of emotional health nor the indirect effect of the physical state mediated by emotional health on pain has been quantified.

METHODS

A total of 548 patients with RA participated. Emotional health was assessed using the Hospital Anxiety and Depression Scale (HADS). Measures routinely used in practice were used to evaluate the physical state and pain. To quantify the effects of the physical state on emotional health, and the effects of both physical and emotional health on pain, we used structural equation modeling, with emotional health, physical state, and pain as latent variables.

RESULTS

The prevalence of anxiety and depression (HADS score ≥8 for each) among patients with RA was 18.7% and 29.4%, respectively. Emotional health was significantly influenced by the physical state (β = 0.21). Pain was affected by physical (β = 0.54) and emotional health (β = 0.29). The effect of the physical state on pain was mediated by emotional health, with this mediation effect (β = 0.06) accounting for 10.2% of the total effect.

CONCLUSION

The magnitude of pain in RA is determined by the mediation effect of emotional health as well as the direct physical state. Our findings suggest that emotional factors should be taken into account when assessing RA disease activity.

Resting state functional connectivity in patients with remitted psychotic depression: A multi-centre STOP-PD study

Background

There is paucity of neurobiological knowledge about major depressive disorder with psychotic features (“psychotic depression”). This study addresses this knowledge gap by using resting state functional magnetic resonance imaging (R-fMRI) to compare functional connectivity in patients with psychotic depression and healthy controls.

Methods

We scanned patients who participated in a randomized controlled trial as well as healthy controls. All patients achieved remission from depressive and psychotic symptoms with sertraline and olanzapine. We employed Independent Component Analysis in independent samples to isolate the default mode network (DMN) and compared patients and controls.

Findings

The Toronto sample included 28 patients (mean [SD], age 56·2 [13·7]) and 39 controls (age 55·1 [13·5]). The Replication sample included 29 patients (age 56·1 [17·7]) and 36 controls (age 48·3 [17·9]). Patients in the Toronto sample demonstrated decreased between-network functional connectivity between the DMN and bilateral insular, somatosensory/motor, and auditory cortices with peak activity in the right planum polare (t = 4·831; p = 0·001, Family Wise Error (FWE) corrected). A similar pattern of between-network functional connectivity was present in our Replication sample with peak activity in the right precentral gyrus (t = 4·144; p = 0·003, FWE corrected).

Interpretation

Remission from psychotic depression is consistently associated with an absence of increased DMN-related functional connectivity and presence of decreased between-network functional connectivity. Future research will evaluate this abnormal DMN-related functional connectivity as a potential biomarker for treatment trajectories.

Funding

National Institute of Mental Health.

Is depression associated with oral health outcomes in adults and elders? A systematic review and meta-analysis

OBJECTIVES

To systematically review the literature in order to investigate association between depression and oral diseases.

MATERIAL AND METHODS

Electronic searches were performed in five databases. Studies testing associations between depression and oral diseases as either exposure or outcome were included. Oral disease variable included any tooth loss or edentulism, periodontal disease, and dental caries.

RESULTS

A total of 2504 articles were identified in the electronic database search. Sixteen studies were included in this systematic review being 14 included in the meta-analyses. Eleven studies considered oral health as outcome, whereas three studies considered depression as an outcome variable. Depression was associated to dental caries, tooth loss, and edentulism. Pooled estimates showed that depression increased the odds of dental caries (OR 1.27; 95% CI 1.13-1.44), tooth loss (OR 1.31; 95% CI 1.24-1.37), and edentulism (OR 1.17; 95% CI 1.02-1.34), respectively. When the oral diseases were tested as independent variable and depression as outcome, associations with both edentulism (OR 1.28; 95% CI 1.06-1.55) and periodontal disease (HR 1.73; 95% CI 1.58-1.89) were found.

CONCLUSIONS

The results of our systematic review and meta-analyses show a positive association between depression and oral diseases, specifically dental caries, tooth loss, and edentulism, in adults and elders. More longitudinal studies are required to test causal and temporal relationship between depression and oral health status.

CLINICAL RELEVANCE

Mental and oral health are among the main disabilities worldwide. This article helps to understand more about the relationship between both conditions, highlighting the importance for both clinicians and policy makers of considering individual's psychological status in management of oral health.

Association between depression and smoking: A global perspective from 48 low- and middle-income countries

BACKGROUND

Smoking is a leading modifiable cause of global morbidity and mortality. Research from high-income countries has found a high prevalence of smoking among people with depression and suggested that this may partially contribute to the increased premature mortality in this population. Limited research has investigated smoking behaviors across the depression spectrum and in low- and middle-income countries (LMICs). This study explored the relationship between depression and smoking across 48 LMICs.

METHODS

We conducted a cross-sectional, community-based study comprising 242,952 people [mean age 38.4 (SD = 16.1) years, 50.8% females] from the World Health Survey. Multivariable binary logistic regression analyses were performed to investigate the relationship between depression (including subsyndromal, brief depressive episode and depressive episodes) and smoking behaviours.

RESULTS

Overall, the prevalence of current smoking was lowest in Africa (13.5%) and highest in Asia (32.2%). A depressive episode was present in 6.7% of the sample. Compared to people without depression, subsyndromal depression, brief depressive episode, and depressive episodes were all significantly associated with smoking with similar effect sizes (ORs: 1.36-1.49). Countrywide meta-analysis found that the pooled overall OR for smoking in depression was 1.42 (95%CI = 1.32-1.52, I² = 39.7%). Furthermore, alcohol consumption and male gender were consistently associated with smoking across all regions and smoking was consistently less common in those who were wealthier and had a higher education.

CONCLUSION

These data suggest that the depression spectrum is consistently associated with high levels of smoking behaivours in LMICs. Given that most of the world's smokers reside in LMICs, future smoking cessation interventions are required to target people with depression.

Quantitative assessment of the bidirectional relationships between diabetes and depression

Diabetes and depression impose an enormous public health burden and the present study aimed to assess quantitatively the bidirectional relationships between the two disorders. We searched databases for eligible articles published until October 2016. A total of 51 studies were finally included in the present bidirectional meta-analysis, among which, 32 studies were about the direction of depression leading to diabetes, and 24 studies about the direction of diabetes leading to depression. Pooled results of the 32 eligible studies covering 1274337 subjects showed that depression patients were at higher risk for diabetes (odds ratio (OR) = 1.34, 95% confidence intervals (CI) = [1.23, 1.46]) than non-depressive subjects. Further gender-subgroup analysis found that the strength of this relationship was stronger in men (OR = 1.63, 95%CI = [1.48, 1.78]) than in women (OR = 1.29, 95%CI = [1.07, 1.51]). For the direction of diabetes leading to depression, pooled data of 24 articles containing 329658 subjects showed that patients with diabetes were at higher risk for diabetes (OR = 1.28, 95%CI = [1.15, 1.42]) than non-diabetic subjects. The available data supports that the relationships between diabetes and depression are bidirectional and the overall strengths are similar in both directions. More mechanistic studies are encouraged to explore the molecular mechanisms underlying the relationships between the two diseases.

Psychotic-like experiences and happiness in the English general population

BACKGROUND

Psychotic-like experiences (PLEs) have been associated with a variety of adverse outcomes but how they affect happiness in individuals with PLE is unknown. Thus, the aim of the study was to assess the association between PLEs and happiness, and the factors that may influence this association.

METHODS

Nationally representative data from the 2007 Adult Psychiatric Morbidity Survey including adults aged ≥ 16 years was analyzed. The Psychosis Screening Questionnaire was used to assess past 12-month PLE. Individuals who endorsed at least one of the following were considered to have any PLE: thought control, paranoia, strange experiences, auditory hallucinations. Happiness (3-point scale) was assessed with a validated question with higher scores indicating lower levels of happiness. The association between PLE and happiness was assessed by multivariable ordinal logistic regression. Mediation analysis was also performed.

RESULTS

Among the 7363 individuals included in the analysis, the prevalence of any PLE increased with decreasing levels of happiness [very happy (2.3%), fairly happy (5.4%), not too happy (14.9%)]. This was also shown in the multivariable analysis adjusted for sociodemographic factors and stressful life events (from very happy to not too happy: OR = 2.41; 95%CI = 1.86-3.12). Mediation analysis showed that anxiety disorders explained the largest proportion of the association (38.8%) followed by depressive episode (28.5%), insomnia (21.9%), disability (16.5%), pain (12.5%), social support (10.0%), and physical health conditions (6.0%).

LIMITATIONS

The cross-sectional design limits causal inference.

CONCLUSION

Interventions to identify and address conditions that may have a negative impact on happiness in individuals with PLE may be important to improve their well-being.

Lifetime self-reported arthritis is associated with elevated levels of mental health burden: A multi-national cross sectional study across 46 low- and middle-income countries

Population-based studies investigating the relationship of arthritis with mental health outcomes are lacking, particularly among low- and middle-income countries (LMICs). We investigated the relationship between arthritis and mental health (depression spectrum, psychosis spectrum, anxiety, sleep disturbances and stress) across community-dwelling adults aged ≥18 years across 46 countries from the World Health Survey. Symptoms of psychosis and depression were established using questions from the Mental Health Composite International Diagnostic Interview. Severity of anxiety, sleep problems, and stress sensitivity over the preceding 30 days were self-reported. Self-report lifetime history of arthritis was collected, including presence or absence of symptoms suggestive of arthritis: pain, stiffness or swelling of joints over the preceding 12-months. Multivariable logistic regression analyses were undertaken. Overall, 245,706 individuals were included. Having arthritis increased the odds of subclinical psychosis (OR = 1.85; 95%CI = 1.72–1.99) and psychosis (OR = 2.48; 95%CI = 2.05–3.01). People with arthritis were at increased odds of subsyndromal depression (OR = 1.92; 95%CI = 1.64–2.26), a brief depressive episode (OR = 2.14; 95%CI = 1.88–2.43) or depressive episode (OR = 2.43; 95%CI = 2.21–2.67). Arthritis was also associated with increased odds for anxiety (OR = 1.75; 95%CI = 1.63–1.88), sleep problems (OR = 2.23; 95%CI = 2.05–2.43) and perceived stress (OR = 1.43; 95%CI = 1.33–1.53). Results were similar for middle-income and low-income countries. Integrated interventions addressing arthritis and mental health comorbidities are warranted to tackle this considerable burden.