BackgroundEffective task-shifting interventions targeted at reducing the global cardiovascular disease (CVD) epidemic in low and middle-income countries (LMICs) are urgently needed.MethodsDISHA is a cluster randomised controlled trial conducted across 10 sites (5 in phase 1 and 5 in phase 2) in India in 120 clusters. At each site, 12 clusters were randomly selected from a district. A cluster is defined as a small village with 250–300 households and well defined geographical boundaries. They were then randomly allocated to intervention and control clusters in a 1:1 allocation sequence. If any of the intervention and control clusters were <10 km apart, one was dropped and replaced with another randomly selected cluster from the same district. The study included a representative baseline cross-sectional survey, development of a structured intervention model, delivery of intervention for a minimum period of 18 months by trained frontline health workers (mainly Anganwadi workers and ASHA workers) and a post intervention survey in a representative sample. The study staff had no information on intervention allocation until the completion of the baseline survey. In order to ensure comparability of data across sites, the DISHA study follows a common protocol and manual of operation with standardized measurement techniques.DiscussionOur study is the largest community based cluster randomised trial in low and middle-income country settings designed to test the effectiveness of ‘task shifting’ interventions involving frontline health workers for cardiovascular risk reduction.Trial registrationCTRI/2013/10/004049. Registered 7 October 2013.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-2891-6) contains supplementary material, which is available to authorized users.

Green space exposure has been positively correlated with better mental-health indicators in several high income countries, but has not been examined in low- and middle-income countries undergoing rapid urbanization. Building on a study of mental health in adults with a pre-existing chronic condition, we examined the association between park availability and major depression among 1208 adults surveyed in Delhi, India. Major depression was measured using the Mini International Neuropsychiatric Interview. The ArcGIS platform was used to quantify park availability indexed as (i) park distance from households, (ii) area of the nearest park; and within one km buffer area around households - the (iii) number and (iv) total area of all parks. Mixed-effects logistic regression models adjusted for socio-demographic characteristics indicated that relative to residents exposed to the largest nearest park areas (tertile 3), the odds [95% confidence interval] of major depression was 3.1 [1.4-7.0] times higher among residents exposed to the smallest nearest park areas (tertile 1) and 2.1 [0.9-4.8] times higher in residents with mid-level exposure (tertile 2). There was no statistically significant association between other park variables tested and major depression. We hypothesized that physical activity in the form of walking, perceived stress levels and satisfaction with the neighbourhood environment may have mediating effects on the association between nearest park area and major depression. We found no significant mediation effects for any of our hypothesized variables. In conclusion, our results provide preliminary and novel evidence from India that availability of large parks in the immediate neighborhood positively impacts mental well-being of individuals with pre-existing chronic conditions, at the opportune time when India is embarking on the development of sustainable cities that aim to promote health through smart urban design – one of the key elements of which is the inclusion of urban green spaces.

The present study examined the association between personality pathology (PP) and alcohol dependence (AD; both lifetime and in the past 12 months) among middle-aged to older adults incorporating three sources of assessment, specifically, diagnostic interviews as well as self- and informant reports. We collected data from a representative sample of community participants (N = 1,630; ages 54 – 65 years) and their informants (N = 1,462). Measures employed were the substance use disorder sections of the Mini-International Neuropsychiatric Interview Schedule for Mental Disorders, the Structured Interview for DSM-IV Personality (American Psychiatric Association, 2000, Diagnostic and Statistical Manual of Mental Disorders, 4th ed., text rev.; DSM–IV–TR SIDP) and the NEO-Personality Inventory–Revised (Costa, P. T., & McCrae, R. R., Revised NEO-Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) manual, 1992, Odessa, FL, Psychological Assessment Resources; self-report and informant versions). To complement the diagnostic interview for personality disorders (PDs), we utilized a PD-count technique derived from the five-factor model (FFM), which provided an index of PP liability. Factors representing lifetime and past-12 month AD were regressed on each of the 10 PP factors constructed from the SIDP interview, as well as self-report and informant FFM-count scores. Lifetime diagnosis of AD was positively associated with higher scores on several PP measures, including paranoid, schizotypal, antisocial, borderline, histrionic, and narcissistic PP. There was an inverse relation between lifetime AD and the factor score for obsessive– compulsive PP. With regard to AD in the past 12 months, antisocial, borderline, histrionic, and narcissistic PP factors were significantly associated with increased risk for AD, whereas the obsessive– compulsive and schizoid PP factors were associated with decreased risk for AD. The present data indicate that features of antisocial and borderline PP continue to exhibit a relatively strong association with risk for AD in later middle age.

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