Mental health in the slums of Dhaka - a geoepidemiological study

Gruebner O, Khan MH, Lautenbach S, et al. Mental health in the slums of Dhaka - a geoepidemiological study. BMC Public Health. 2012;12(1): 177.Background: Urban health is of global concern because the majority of the world's population lives in urban areas. Although mental health problems (e.g. depression) in developing countries are highly prevalent, such issues are not yet adequately addressed in the rapidly urbanising megacities of these countries, where a growing number of residents live in slums. Little is known about the spectrum of mental well-being in urban slums and only poor knowledge exists on health promotive socio-physical environments in these areas. Using a geo-epidemiological approach, the present study identified factors that contribute to the mental well-being in the slums of Dhaka, which currently accommodates an estimated population of more than 14 million, including 3.4 million slum dwellers. Methods: The baseline data of a cohort study conducted in early 2009 in nine slums of Dhaka were used. Data were collected from 1,938 adults (>= 15 years). All respondents were geographically marked based on their households using global positioning systems (GPS). Very high-resolution land cover information was processed in a Geographic Information System (GIS) to obtain additional exposure information. We used a factor analysis to reduce the socio-physical explanatory variables to a fewer set of uncorrelated linear combinations of variables. We then regressed these factors on the WHO-5 Well-being Index that was used as a proxy for self-rated mental wellbeing. Results: Mental well-being was significantly associated with various factors such as selected features of the natural environment, flood risk, sanitation, housing quality, sufficiency and durability. We further identified associations with population density, job satisfaction, and income generation while controlling for individual factors such as age, gender, and diseases. Conclusions: Factors determining mental well-being were related to the socio-physical environment and individual level characteristics. Given that mental well-being is associated with physiological well-being, our study may provide crucial information for developing better health care and disease prevention programmes in slums of Dhaka and other comparable settings

Functional materials discovery using energy–structure–function maps

Molecular crystals cannot be designed in the same manner as macroscopic objects, because they do not assemble according to simple, intuitive rules. Their structures result from the balance of many weak interactions, rather than from the strong and predictable bonding patterns found in metal–organic frameworks and covalent organic frameworks. Hence, design strategies that assume a topology or other structural blueprint will often fail. Here we combine computational crystal structure prediction and property prediction to build energy–structure–function maps that describe the possible structures and properties that are available to a candidate molecule. Using these maps, we identify a highly porous solid, which has the lowest density reported for a molecular crystal so far. Both the structure of the crystal and its physical properties, such as methane storage capacity and guest-molecule selectivity, are predicted using the molecular structure as the only input. More generally, energy–structure–function maps could be used to guide the experimental discovery of materials with any target function that can be calculated from predicted crystal structures, such as electronic structure or mechanical properties

Height, weight and haemoglobin status of 6 to 59-month-old Kazakh children living in Kzyl-Orda region, Kazakhstan.

OBJECTIVE: To estimate the prevalence of stunting, wasting and anaemia among children aged 6-59 months in the Kzyl-Orda region of Kazakhstan, and to determine the association between childhood height and haemoglobin concentration and a range of environmental and biological factors. DESIGN: A cross-sectional study using a randomly selected sample. The mothers of children were interviewed, and finger-prick blood samples and anthropometric measurements were collected on both mothers and their children. Associations between haemoglobin (Hb) concentration, anthropometric measurements and questionnaire data were evaluated by multivariate analysis. SETTING: Health centres in Kazalinsk, Djalagash and Zhanakorgan districts of Kzyl-Orda region, Kazakhstan. SUBJECTS: Two-thousand and twenty-four children aged between 6 and 59 months born to 1501 mothers who were randomly selected from health centre records. RESULTS: The overall prevalence of stunting (<-2.0 Z-scores height for age), wasting (<-2.0 Z-scores weight for height) and anaemia (Hb<11.0 g/dl) in the study children was found to be 15.8, 0.8 and 50.1%, respectively. However, analysis demonstrated considerable variation by age, with the second year of life showing the highest prevalence of both stunting and anaemia. Both childhood height and haemoglobin concentration were found to be significantly associated with a range of environmental and maternal variables. CONCLUSIONS: This study demonstrates that the prevalence of both stunting and anaemia among Kazakh children in the Kzyl-Orda region is considerable, and similar to that of other Central Asian children. These findings highlight Central Asia as a region with levels of childhood nutritional status that are of concern. SPONSORSHIP: Funding was provided by the United States Agency for International Development, Office of Nutrition, the United Kingdom Department for International Development, and the Polden-Puckham Trust