Development and Validation of the Return and Disposal of Unused Medications Questionnaire (ReDiUM) in Malaysia

The aim of our study was to develop and validate the return and disposal of unused medications (ReDiUM), as there are currently no validated tools available (worldwide) to assess this. The ReDiUM was developed by an expert panel. It was then administered to community-dwelling adults, who could understand English, at baseline and 2 weeks later. A total of 338/354 participants agreed to participate (response rate = 95.4%). Flesch reading ease was 60. The overall Cronbach's α was 0.703 (range = 0.609-0.762). At test-retest, κ values ranged from 0.244 to 0.523. Median total knowledge score was 60% (interquartile range = 40% to 70%). The majority of participants (94.4%) knew that improper drug disposal has harmful effects on the environment. However, their knowledge was low (11.2%) regarding the disposal of pressurized metered-dose inhalers in the garbage. The ReDiUM was found to be a valid and reliable instrument to assess the knowledge, attitude, and practice on the ReDiUM in Malaysia.

Multivariate space-time modelling of multiple air pollutants and their health effects accounting for exposure uncertainty

The long-term health effects of air pollution are often estimated using a spatio-temporal ecological areal unit study, but this design leads to the following statistical challenges: (1) how to estimate spatially representative pollution concentrations for each areal unit; (2) how to allow for the uncertainty in these estimated concentrations when estimating their health effects; and (3) how to simultaneously estimate the joint effects of multiple correlated pollutants. This article proposes a novel 2-stage Bayesian hierarchical model for addressing these 3 challenges, with inference based on Markov chain Monte Carlo simulation. The first stage is a multivariate spatio-temporal fusion model for predicting areal level average concentrations of multiple pollutants from both monitored and modelled pollution data. The second stage is a spatio-temporal model for estimating the health impact of multiple correlated pollutants simultaneously, which accounts for the uncertainty in the estimated pollution concentrations. The novel methodology is motivated by a new study of the impact of both particulate matter and nitrogen dioxide concentrations on respiratory hospital admissions in Scotland between 2007 and 2011, and the results suggest that both pollutants exhibit substantial and independent health effects.

Association of Low Birthweight and Indoor Air Pollution: Biomass Fuel Use in Bangladesh

BACKGROUND

More than 90% of all low birthweight (LBW) babies are born in developing countries, and half of the population in developing nations uses solid fuels as their primary source of energy for cooking. An association between household use of solid biomass fuels and reduced newborn weight has been found in a number of countries. Bangladesh has a high prevalence of LBW babies (22%), and 88% of the population use solid fuels for cooking.

OBJECTIVES

This study aims to explore whether indoor air pollution is associated with LBW in Bangladesh, an important determinant of infant mortality and morbidity.

METHODS

The 2011 Bangladesh Demographic and Health Survey (BDHS) was used for the present analysis. The total number of births reported in the previous five years by respondents in the survey sample was 8,753. Mothers' recall of their baby's weight was the dependent dichotomous variable. A mixed effects logistic regression model was fitted using region as a random effect and several independent fixed effects.

RESULTS

High pollutant cooking fuels, such as coal and wood, resulted in higher odds of having a LBW child compared to use of electricity/gas (odds ratio (OR): 2.6, confidence interval (CI): 1.1-6.2 and OR: 1.1, CI: 1.0-1.2). Factors which lowered the odds include mothers with a bachelor's degree or higher education (OR: 0.6, CI: 0.4-0.9), third order children (OR: 0.8, CI: 0.6-0.9), fourth or higher order children (OR: 0.8, CI: 0.6-1.0), having a male child (OR: 0.7, CI: 0.7-0.8), and receiving sufficient antenatal care (OR: 0.8, CI: 0.6-0.9). Factors which increase the odds of having a LBW infant include mothers who are underweight compared to normal weight mothers (OR: 1.1, CI: 1.1-1.2), mistimed pregnancies (OR: 1.2, CI: 1.0-1.4), or unplanned pregnancies (OR: 1.3, CI: 1.0-1.7), compared to planned pregnancies.

CONCLUSIONS

This is the first paper to show an association between use of highly pollutant biomass fuel and prevalence of LBW babies in Bangladesh, suggesting that besides polluting the air and causing respiratory illnesses, biomass fuel combustion may also affect the health of fetuses in utero. Further longitudinal studies are required to establish this finding among mothers in developing countries.

Controlling for unmeasured confounding and spatial misalignment in long-term air pollution and health studies

The health impact of long-term exposure to air pollution is now routinely estimated using spatial ecological studies, owing to the recent widespread availability of spatial referenced pollution and disease data. However, this areal unit study design presents a number of statistical challenges, which if ignored have the potential to bias the estimated pollution-health relationship. One such challenge is how to control for the spatial autocorrelation present in the data after accounting for the known covariates, which is caused by unmeasured confounding. A second challenge is how to adjust the functional form of the model to account for the spatial misalignment between the pollution and disease data, which causes within-area variation in the pollution data. These challenges have largely been ignored in existing long-term spatial air pollution and health studies, so here we propose a novel Bayesian hierarchical model that addresses both challenges and provide software to allow others to apply our model to their own data. The effectiveness of the proposed model is compared by simulation against a number of state-of-the-art alternatives proposed in the literature and is then used to estimate the impact of nitrogen dioxide and particulate matter concentrations on respiratory hospital admissions in a new epidemiological study in England in 2010 at the local authority level. © 2015 The Authors. Environmetrics published by John Wiley & Sons Ltd.

The relationships between active transport to work or school and cardiovascular health or body weight: a systematic review

To systematically examine the relationships between active transport to work or school and cardiovascular health, body weight, or other health outcomes, a systematic review of the literature was conducted in September 2012 using 3 electronic databases. A total of 3887 articles were screened, 30 full text articles were retrieved, and 19 articles were identified. Two reviewers independently assessed the quality of each article. The review found that active transport to work or school was significantly associated with improved cardiovascular health and lower body weight. However, the strength of the evidence varied from weak (mental health and cancer), moderate (body weight), to strong (cardiovascular health). The evidence was limited by lack of comparability of study outcomes, weak study designs, small sample sizes, and lack of experimental studies. Further research is needed to examine the effect of active transport on health using stronger research designs, including randomized controlled trials or longitudinal studies.

Meeting report: national workshops for the communication of air pollution and health information: summary of four workshops in different regions of Europe

AIRNET was a thematic network project (2002-2004) initiated to stimulate the interaction between researchers in air pollution and health in Europe. As part of AIRNET's communication strategy, a standardized workshop model was developed to organize national meetings on air pollution and health (AIRNET network days) . Emphasis was given to tailor the national workshop information and related activities to the specific needs of a wider range of stakeholders (e.g., policy makers, nongovernmental organizations, industry representatives) . In this report we present an overview of the results of four workshops held in western, northern, central/eastern, and southern regions of Europe in 2004. Overall, workshop experiences indicated that by actively involving participants in the planning of each meeting, AIRNET helped create an event that addressed participants' needs and interests. A wide range of communication formats used to discuss air pollution and health also helped stimulate active interaction among participants. Overall, the national workshops held by AIRNET offered a way to improve communication among the different stakeholders. Because a broad stakeholder involvement in decision making can positively affect the development of widely supported policies, such meetings should be continued for Europe and elsewhere.