An observational study on deliberate self-harm in individuals with alcohol dependence syndrome.

Context: Comorbidities in alcohol dependence syndrome (ADS) are often associated with poor treatment outcomes and high service utilization. Deliberate self-harm (DSH) in India is a silent epidemic. There is a shortage of research on individuals with ADS, psychiatric comorbidities, and DSH. Aim: To study DSH and psychiatric comorbidity in persons with ADS. Settings and Design: A cross-sectional study of 1-year duration is conducted in out patient department/indoor patient department of a tertiary care hospital. Methods and Material: Eighty-one individuals with ADS were selected purposefully. A semi-structured pro forma, the severity of alcohol dependence questionnaire, Mini-International Neuropsychiatric Interview (MINI), and Deliberate Self-Harm Inventory were administered for assessment. The statistical analysis used is as follows: correlation statistics and logistic regression. Results: Most subjects were married, belonged to upper-middle socioeconomic status, had at least secondary education, and had moderate alcohol dependence severity. Almost 3/4th of the subjects had at least one lifetime psychiatric disorder. A past episode of major depressive disorder was found in 47%. Nearly 20% of study subjects had a history of DSH, which was significantly associated with unmarried status, and earlier age of alcohol dependence. Marital status, educational level, and age of onset of alcohol dependence explain 64.3% of the variance in DSH attempts. Suicidality was significantly related to the presence of DSH. Conclusions: The study found a high prevalence of psychiatric disorders and a history of DSH in individuals with ADS. The study confirmed the association between DSH and suicidality and indicated a specific subpopulation of ADS who need thorough clinical assessments to recognize these psychiatric comorbidities and DSH.

District-level differences in the distribution of mental and substance use disorders in Assam.

Background: The lifetime prevalence of mental morbidity in Assam is estimated at 8% (NMHS 2015-16). Understanding the distribution patterns of different types of mental disorders among persons with mental morbidity in different districts would facilitate evidence-driven district mental health programming in Assam. Given the varied socio-geopolitical situation across districts in Assam, significant variations in the distribution of mental disorders are expected. Aims: To assess interdistrict differentials in common mental disorders (CMDs), severe mental disorders (SMDs), socioeconomic impact, healthcare utilization, and mental disability across three districts sampled in NMHS in Assam. Materials and Methods: This cross-sectional study used stratified random cluster sampling to identify and study eligible adult participants in Dibrugarh, Barpeta, and Cachar districts. Standardized scales and validated questionnaires were used to assess mental morbidity, disability, socioeconomic impact, and healthcare utilization. The distribution of different mental disorders among persons with mental disorders and their interdistrict differentials were tested using the Chi-square test of significance. Results: Among persons with mental morbidity, the most common disorder was CMDs (79%). The proportional distribution of CMDs among persons with mental morbidity was significantly higher in the Dibrugarh district (79%), whereas the distribution of SMDs was higher in the Cachar district (55%). The distribution of alcohol use disorder was the highest in the Dibrugarh district (71.6%). Significant differences in disability and healthcare utilization were observed between the districts. Conclusions: NMHS 2015-16 Assam indicates significant differentials in the distribution of CMDs and SMDs, healthcare utilization, and associated disability between the three districts. The differentials necessitate further research to understand socio-ethnocultural, religious, geopolitical, and other factors influencing the distribution. These differences need to be accounted for during the implementation of mental health programs in the state.

The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity.

BACKGROUND: Recognizing the need for good quality, scientific and reliable information for strengthening mental health policies and programmes, the National Mental Health Survey (NMHS) of India was implemented by National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, in the year 2015-2016. AIM: To estimate the prevalence, socio-demographic correlates and treatment gap of mental morbidity in a representative population of India. METHODS: NMHS was conducted across 12 Indian states where trained field investigators completed 34,802 interviews using tablet-assisted personal interviews. Eligible study subjects (18+ years) in households were selected by a multi-stage, stratified, random cluster sampling technique. Mental morbidity was assessed using MINI 6. Three-tier data monitoring system was adopted for quality assurance. Weighted and specific prevalence estimates were derived (current and lifetime) for different mental disorders. Mental morbidity was defined as those disorders as per the International Statistical Classification of Diseases, Tenth Revision Diagnostic Criteria for Research (ICD-10 DCR). Multivariate logistic regression was conducted to examine risk for mental morbidity by different socio-demographic factors. Survey was approved by central and state-level institutional ethical committees. RESULTS: The weighted lifetime prevalence of 'any mental morbidity' was estimated at 13.67% (95% confidence interval (CI) = 13.61, 13.73) and current prevalence was 10.56% (95% CI = 10.51, 10.61). Mental and behavioural problems due to psychoactive substance use (F10-F19; 22.44%), mood disorders (F30-F39; 5.61%) and neurotic and stress-related disorders (F40-F48; 3.70%) were the most commonly prevalent mental morbidity in India. The overall prevalence was estimated to be higher among males, middle-aged individuals, in urban-metros, among less educated and in households with lower income. Treatment gap for overall mental morbidity was 84.5%. CONCLUSION: NMHS is the largest reported survey of mental morbidity in India. Survey estimated that nearly 150 million individuals suffer from one or the other mental morbidity in India. This information is to be used for planning, delivery and evaluating mental health programming in the country.

A population-based analysis of suicidality and its correlates: findings from the National Mental Health Survey of India, 2015-16.

BACKGROUND: India accounts for 18% of the global population and 26·6% of global suicide deaths. However, robust population-based, nationally representative data on suicidality are not readily available to plan and implement suicide prevention programmes in India. We aimed to investigate the prevalence and sociodemographic differentials of suicidality using data from the National Mental Health Survey (NMHS) of India, 2015-16. METHODS: Trained field data collectors from the NMHS obtained information on suicidality (during the past month) from a community sample of adults aged 18 years and older using the suicidality module of the Mini-International Neuropsychiatric Interview (version 6.0). Suicidality was categorised as low, moderate, high, and overall (representing any suicidality), and examined for sociodemographic differentials using normalised sampling weights. For each of the 12 surveyed states, we calculated the age-standardised suicidality prevalence for men and women, men-to-women ratio of weighted suicidality prevalence, ratio of suicidality to suicide deaths, and ratio of suicide attempts to suicide deaths. We used logistic regression analysis to examine the association between sociodemographic factors and overall suicidality and severity. FINDINGS: Among 34 748 participants with complete interviews, 5·1% (95% CI 4·7-5·6) had some level of suicidality, and 0·3% (0·2-0·4) had at least one suicide attempt in the past month. The prevalence of overall suicidality was higher in women (6·0% [5·4-6·6]) than in men (4·1% [3·7-4·6]). The prevalence of overall suicidality was highest in those aged 40-49 years among women and in those aged 60 years or older among men. Compared with their counterparts, individuals with lower educational attainment, individuals residing in urban metropolitan cities, individuals who were widowed, separated, or divorced, and unemployed individuals had a higher prevalence of overall suicidality. The men-to-women ratio of overall suicidality prevalence for India was 0·68 (range 0·55-0·85). For every death by suicide in India, there were more than 200 people with suicidality and more than 15 suicide attempts. We found variations for various severities of suicidality. We found an increased risk for overall suicidality in women versus men (odds ratio [OR] 1·54 [95% CI 1·31-1·81]; p<0·0001) and in individuals residing in urban metropolitan cities versus those residing in rural areas (1·75 [1·30-2·35]; p=0·0002). Individuals belonging to the lowest income quintile (reference group with OR <1·00 and p<0·05 for other income quintiles), those with depressive disorders (28·78 [20·04-41·33]; p<0.0001) and those with alcohol use disorders (6·52 [3·83-11·10]; p<0.0001) had an increased risk for high suicidality, compared with their corresponding counterparts. INTERPRETATION: A national suicide prevention strategy that is comprehensive, using multisectoral approaches, is required to address the prevailing sociodemographic and other risk factors for reducing suicidality and suicide deaths in India. This study also has implications for other low-income and middle-income countries in south Asia, where sociodemographic factors play a crucial role for suicide prevention. FUNDING: Ministry of Health and Family Welfare, Government of India.

Prevalence and socioeconomic impact of depressive disorders in India: multisite population-based cross-sectional study.

OBJECTIVES: The National Mental Health Survey (NMHS) of India was undertaken with the objectives of (1) estimating the prevalence and patterns of various mental disorders in representative Indian population and (2) identifying the treatment gap, healthcare utilisation, disabilities and impact of mental disorders. This paper highlights findings pertaining to depressive disorders (DD) from the NMHS. DESIGN: Multisite population-based cross-sectional study. Subjects were selected by multistage stratified random cluster sampling technique with random selection based on probability proportionate to size at each stage. SETTING: Conducted across 12 states in India (representing varied cultural and geographical diversity), employing uniform, standardised and robust methodology. PARTICIPANTS: A total of 34 802 adults (>18 years) were interviewed. MAIN OUTCOME MEASURE: Prevalence of depressive disorders (ICD-10 DCR) diagnosed using Mini International Neuropsychiatric Interview V.6.0. RESULTS: The weighted prevalence of lifetime and current DD was 5.25% (95% CI: 5.21% to 5.29%, n=34 802) and 2.68% (95% CI: 2.65% to 2.71%, n=34 802), respectively. Prevalence was highest in the 40-59 age groups (3.6%, n=10 302), among females (3.0%, n=18 217) and those residing in cities with population >1 million (5.2%, n=4244). Age, gender, place of residence, education and household income were found to be significantly associated with current DD. Nearly two-thirds of individuals with DD reported disability of varying severity, and the treatment gap for depression in the study population was 79.1%. On an average, households spent INR1500/month (~US$ 23.0/month) towards care of persons affected with DD. CONCLUSION: Around 23 million adults would need care for DD in India at any given time. Since productive population is affected most, DD entails considerable socioeconomic impact at individual and family levels. This is a clarion call for all the concerned stakeholders to scale up services under National Mental Health Programme in India along with integrating care for DD with other ongoing national health programmes.

National Mental Health Survey of India, 2016 - Rationale, design and methods.

Understanding the burden and pattern of mental disorders as well as mapping the existing resources for delivery of mental health services in India, has been a felt need over decades. Recognizing this necessity, the Ministry of Health and Family Welfare, Government of India, commissioned the National Mental Health Survey (NMHS) in the year 2014-15. The NMHS aimed to estimate the prevalence and burden of mental health disorders in India and identify current treatment gaps, existing patterns of health-care seeking, service utilization patterns, along with an understanding of the impact and disability due to these disorders. This paper describes the design, steps and the methodology adopted for phase 1 of the NMHS conducted in India. The NMHS phase 1 covered a representative population of 39,532 from 12 states across 6 regions of India, namely, the states of Punjab and Uttar Pradesh (North); Tamil Nadu and Kerala (South); Jharkhand and West Bengal (East); Rajasthan and Gujarat (West); Madhya Pradesh and Chhattisgarh (Central) and Assam and Manipur (North East). The NMHS of India (2015-16) is a unique representative survey which adopted a uniform and standardized methodology which sought to overcome limitations of previous surveys. It employed a multi-stage, stratified, random cluster sampling technique, with random selection of clusters based on Probability Proportionate to Size. It was expected that the findings from the NMHS 2015-16 would reveal the burden of mental disorders, the magnitude of the treatment gap, existing challenges and prevailing barriers in the mental-health delivery systems in the country at a single point in time. It is hoped that the results of NMHS will provide the evidence to strengthen and implement mental health policies and programs in the near future and provide the rationale to enhance investment in mental health care in India. It is also hoped that the NMHS will provide a framework for conducting similar population based surveys on mental health and other public health problems in low and middle-income countries.

Aggression as an independent entity even in psychosis - The role of cortisol.

Aggression is a common entity in psychiatric disorders, particularly psychotic disorders. Glucocorticoid hypofunction has been linked to abnormal forms of aggressive behavior in various studies in a 'possibly causal' role. We hypothesise that aggression, even among those having psychosis is associated with glucocorticoid alterations similar to those who are aggressive but not psychotic. To our knowledge, this is the first study attempting to look at the cortisol functioning in relation to both aggression and psychosis. The present study included 80 participants divided into four groups depending upon presence or absence of aggression and psychosis. Morning cortisol, afternoon cortisol and their variability were measured using ELISA. The groups were compared on measures of aggression, psychosis, morning cortisol, afternoon cortisol and their variability using standard statistical instruments. The present study found lower levels of morning cortisol, afternoon cortisol and cortisol variability among the aggressive group (vs. non aggressive group) and among the diseased group (vs. non diseased group). The differences were most marked for cortisol variability which was related to both aggression and psychosis independently. There were statistically significant correlation between cortisol variability and aggression, which was retained even after controlling for psychosis. There was no significant correlation of cortisol variability with psychosis severity (after controlling for aggression score) or with age, gender or duration of psychosis. We conclude that aggression, even among patients with psychosis, is an independent entity characterized by lower levels of morning cortisol and cortisol variability. The etio-pathology may lie in some altered neuro-immune parameters executed by cortisol and psychosis as trigger.

Aggression as an independent entity even in psychosis- the role of inflammatory cytokines.

BACKGROUND: Aggression is very common in psychosis (prevalence ranging from 34% to 70%) and is often the main or first symptom for which the patient receives medical attention. Studies have associated alteration in cytokine profiles among healthy persons with aggressive traits. We hypothesise that even among those with psychosis, aggression is an independent entity, irrespective of psychotic state and is associated with cytokine alterations. To our knowledge, this is the first study attempting to look at the inflammatory cytokines in aggressive psychotic patients. METHODS: Study included 80 participants divided into four groups viz. aggressive diseased, non aggressive diseased, aggressive non diseased and non aggressive non diseased depending upon presence or absence of aggression and psychosis. Interferon gamma(IFN-G), Interleukin 10(IL10) plasma concentrations and their ratio were measured using ELISA based assay kits read at absorbance of 450 nm wavelength using Double beam spectrophotometer. The four groups were compared on measures of aggression, psychosis, Interferon Gamma levels, Interleukin 10 levels, Proinflammatory: Antiinflammatory cytokine ratio using standard statistical instruments. RESULTS: In patients with psychosis, the cytokines IFN-G and IL10 were significantly lower compared to those without. The cytokines IFN-G and IL10 are both significantly associated both with aggression and psychosis. IL10, but not IFN-G is associated with aggression in absence of psychosis. The proinflammatory: antiinflammatory cytokine ratio, is more significantly associated with aggression, irrespective of psychosis. In fact, there is no significant relationship between the above ratio and psychosis. Strong correlation exists between the proinflammatory: antiinflammatory cytokine ratio and aggression scores, even after controlling for severity of psychosis. CONCLUSIONS: It may be concluded from this study that in spite of a high prevalence of aggression in patients of psychosis, it is more likely to be an independent entity associated with individual cytokine changes and increased proinflammatory: antiinflammatory cytokine ratio as its hallmark.