Women's awareness of perinatal mental health conditions and the acceptability of being asked about mental health in two regions in India: a qualitative study.

Background: Mental health conditions are common during pregnancy and the first year after childbirth. Early detection allows timely support and treatment to be offered, but identifying perinatal mental health conditions may be challenging due to stigma and under-recognition of symptoms. Asking about symptoms of mental health conditions during routine antenatal and postnatal appointments can help to identify women at risk.

Depression prevalence, its psychosocial and clinical predictors, in diabetes mellitus patients attending two health institutions of north India catering rural population.

Background: Diabetes mellitus (DM) poses a greater risk of depression and a poor quality of life (QoL). There is a limited data regarding relationship of depression to QoL in patients from rural health care settings of North India.

Aim: To know the prevalence and predictors of depression in patients of DM among various sociodemographic, clinical and QoL variables.

Socioeconomic disparities in prehospital cardiac arrest outcomes: An analysis of the NEMSIS database.

Background: Socioeconomic disparities are engrained in the US healthcare system and may extend to the prehospital cardiac arrest setting where mortality is high.

Methods: Using the National Emergency Medical Services Information System (NEMSIS) database, 150,003 cases were analyzed comparing socioeconomic status and cardiac arrest outcomes. Cardiac arrest outcomes were measured by the percent of cases that achieved return of spontaneous circulation (ROSC) and the percent of cases in which ROSC occurred in the Emergency Department (ED) as opposed to a prehospital setting which was a proxy for the length of time spent in cardiac arrest.

Is dementia differentially distributed? A study on the prevalence of dementia in migrant, urban, rural, and tribal elderly population of himalayan region in northern India.

Background: Throughout the world, a large number of surveys have been carried out to find the prevalence of dementia with variable results.

Aims: This study was to generate data on the prevalence of dementia and to generate a hypothesis on the differential distribution across populations.

Materials And Methods: Four settings identified for the purpose of this study included a migrant, urban, rural, and tribal.

A new sixth order method for nonlinear equations in R.

A new iterative method is described for finding the real roots of nonlinear equations in R. Starting with a suitably chosen x 0, the method generates a sequence of iterates converging to the root. The convergence analysis is provided to establish its sixth order of convergence.

Identifying risk for dementia across populations: A study on the prevalence of dementia in tribal elderly population of Himalayan region in Northern India.

Introduction: Studies have suggested that dementia is differentially distributed across populations with a lower prevalence in developing regions than the developed ones. A comparison in the prevalence of dementia across populations may provide an insight into its risk factors. Keeping this in view, a study was planned to evaluate the prevalence of dementia in tribal elderly population.

Development of a cognitive screening instrument for tribal elderly population of Himalayan region in northern India.

Introduction: Cognitive impairment, characteristic of dementia, is measured objectively by standard neuropsychological (cognitive) tests. Given the diversity of culture and language in India, it is difficult to use a single modified version of MMSE uniformly to Indian population. In this article, we report methods on the development of a cognitive screening instrument suitable for the tribal (Bharmour) elderly (60 years and above) population of Himachal Pradesh, India.

Exploring solid lipid nanoparticles to enhance the oral bioavailability of curcumin.

Scope: Curcumin, a molecule with pluripharmacological properties, was loaded into solid lipid nanoparticles (SLNs) with a view to improve its oral bioavailability (BA).

Methods And Results: Curcumin-loaded solid lipid nanoparticles (C-SLNs) with an average particle size of 134.6 nm and a total drug content of 92.