Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities 1,2 . This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity 3�6 . Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55 of the global rise in mean BMI from 1985 to 2017�and more than 80 in some low- and middle-income regions�was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing�and in some countries reversal�of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories. © 2019, The Author(s)

National suicide rates and mental health system indicators: An ecological study of 191 countries

PURPOSE: The relative contributions of psychiatric morbidity and psychosocial stress to suicide, and the efficacy of mental health systems in reducing population suicide rates, are currently unclear. This study, therefore, aimed to investigate whether national suicide rates are associated with their corresponding mental health system indicators.METHODS: Relevant data were retrieved from the following sources: the World Health Organization, the United Nations Statistics Division and the Central Intelligence Agency World Fact book. Suicide rates of 191 countries were compared with their mental health system indicators using an ecological study design and multivariate non-parametric robust regression models.RESULTS: Significant positive correlations between suicide rates and mental health system indicators (p&lt;0.001) were documented. After adjusting for the effects of major macroeconomic indices using multivariate analyses, numbers of psychiatrists (p=0.006) and mental health beds (p&lt;0.001) were significantly positively associated with population suicide rates.CONCLUSIONS: Countries with better psychiatric services experience higher suicide rates. Although these associations should be interpreted with caution, as the issues are complex, we suggest that population-based public health strategies may have greater impact on national suicide rates than curative mental health services for individuals.</p

Clinical predictors of response to clozapine in patients with Treatment Resistant Schizophrenia

Objectives: Despite clozapine's superior clinical efficacy in Treatment Resistant Schizophrenia (TRS), its adverse effects, need for periodic leukocyte monitoring, cost and variable clinical outcomes make the therapeutic decision making process difficult and mandate a clinical need to predict its treatment response. Hence, we investigated various clinical variables associated with treatment responses and adverse events of clozapine in TRS. Experimental Design: We assessed socio-demographic and clinical profiles, premorbid adjustment, traumatic life events, cognition, disability, psychopathology and serum clozapine levels of 101 patients with TRS on stable dose of clozapine using the following instruments: Brief Psychiatric Rating Scale, Abnormal Involuntary Movements Scale, Addenbrooke's Cognitive Examination-Revised, WHO Disability Assessment Scale-II, Childhood and Recent Traumatic Events Scale, and Premorbid Assessment Scale. We defined clozapine response a priori, adopted a casecontrol design framework and employed appropriate multivariate analyses. Principal Observations: Past history of catatonia (p= 0.005), smoking more than one pack/day (p = 0.008), hyper-somnolence (p = 0.03) and cognitive dysfunction (p = 0.007) were associated with non-response to clozapine. Outcome definitions of non-response to clozapine influenced its association with clinical predictors. Conclusions: Clinical variables are useful to predict response to clozapine. Smoking can be a potentially modifiable risk factor. Future longitudinal studies, investigating clinical and pharmacogenetic variables together, are desired.</p