ABSTRACT
OBJECTIVES@#This study investigated the modification of temperature effects on cardiovascular and respiratory mortality by air pollutants (particulate matter less than 2.5 and 10 µm in diameter [respectively], ozone, nitrogen dioxide, carbon monoxide, and sulfur dioxide). @*METHODS@#Poisson additive models with a penalized distributed lag non-linear model were used to assess the association of air temperature with the daily number of deaths from cardiovascular and respiratory diseases in Ahvaz, Iran from March 21, 2014 to March 20, 2018, controlling for day of the week, holidays, relative humidity, wind speed, air pollutants, and seasonal and long-term trends. Subgroup analyses were conducted to evaluate the effect modification for sex and age group. To assess the modification of air pollutants on temperature effects, the level of each pollutant was categorized as either greater than the median value or less than/equal to the median value. @*RESULTS@#We found no significant associations between temperature and cardiovascular and respiratory mortality. In the subgroup analyses, however, high temperatures were significantly associated with an increased risk of cardiovascular mortality among those 75 years old and older, with the strongest effect observed on day 0 relative to exposure. The results revealed a lack of interactive effects between temperature and air pollutants on cardiovascular and respiratory mortality. @*CONCLUSIONS@#A weak but significant association was found between high temperature and cardiovascular mortality, but only in elderly people. Air pollution did not significantly modify the effect of ambient temperature on cardiovascular and respiratory mortality.
ABSTRACT
OBJECTIVES@#This study investigated the modification of temperature effects on cardiovascular and respiratory mortality by air pollutants (particulate matter less than 2.5 and 10 µm in diameter [respectively], ozone, nitrogen dioxide, carbon monoxide, and sulfur dioxide). @*METHODS@#Poisson additive models with a penalized distributed lag non-linear model were used to assess the association of air temperature with the daily number of deaths from cardiovascular and respiratory diseases in Ahvaz, Iran from March 21, 2014 to March 20, 2018, controlling for day of the week, holidays, relative humidity, wind speed, air pollutants, and seasonal and long-term trends. Subgroup analyses were conducted to evaluate the effect modification for sex and age group. To assess the modification of air pollutants on temperature effects, the level of each pollutant was categorized as either greater than the median value or less than/equal to the median value. @*RESULTS@#We found no significant associations between temperature and cardiovascular and respiratory mortality. In the subgroup analyses, however, high temperatures were significantly associated with an increased risk of cardiovascular mortality among those 75 years old and older, with the strongest effect observed on day 0 relative to exposure. The results revealed a lack of interactive effects between temperature and air pollutants on cardiovascular and respiratory mortality. @*CONCLUSIONS@#A weak but significant association was found between high temperature and cardiovascular mortality, but only in elderly people. Air pollution did not significantly modify the effect of ambient temperature on cardiovascular and respiratory mortality.
ABSTRACT
OBJECTIVES: The aim of this study was to assess the socioeconomic inequality in malnutrition in under-5 children in Iran in order to help policymakers reduce such inequality. METHODS: Data on 8443 under-5 children were extracted from the Iran Multiple Indicator Demographic and Health Survey. The wealth index was used as proxy for socioeconomic status. Socioeconomic inequality in stunting, underweight, and wasting was calculated using the concentration index. The concentration index was calculated for the whole sample, as well as for subcategories defined in terms of categories such as area of residence (urban and rural) and the sex of children. RESULTS: Stunting was observed to be more prevalent than underweight or wasting. The results of the concentration index at the national level, as well as in rural and urban areas and in terms of children's sex, showed that inequality in stunting and underweight was statistically significant and that children in the lower quintiles were more malnourished. The wasting index was not sensitive to socioeconomic status, and its concentration index value was not statistically significant. CONCLUSIONS: This study showed that it can be misleading to assess the mean levels of malnutrition at the national level without knowledge of the distribution of malnutrition among socioeconomic groups. Significant socioeconomic inequalities in stunting and underweight were observed at the national level and in both urban and rural areas. Regarding the influence of nutrition on the health and economic well-being of preschool-aged children, it is necessary for the government to focus on taking targeted measures to reduce malnutrition and to focus on poorer groups within society who bear a greater burden of malnutrition.
Subject(s)
Child , Humans , Growth Disorders , Health Surveys , Iran , Malnutrition , Proxy , Social Class , Socioeconomic Factors , ThinnessABSTRACT
There is an international emphasis on providing timely and high quality data to monitor progress of countries toward Millennium Development Goals. Iran's Multiple Indicator Demographic and Health Survey [IrMIDHS] aimed to provide valid information on population and health outcomes to monitor progress in achieving national priorities and health programs and to assist policy makers to design effective strategies for improving health outcomes and equity in access to care. A cross-sectional multi-stage stratified cluster-random survey is conducted through face-to-face household interviews. The sampling frame is developed using Iran's 2006 population and housing census. Provincial samples ranging are from a minimum of 400 households per province to 6400 households in Tehran province. Cluster size is 10 households. The target sample includes 3096 clusters: 2187 clusters in urban and 909 clusters in rural areas. IrMIDHS instruments include three questionnaires: Household questionnaire, women aged 15-54 questionnaire, children under five questionnaire, supervision and quality assessment checklists and data collection sheets and standard weight and height measurement tools for under-five children. A cascading decentralized training method is used for training data collection and supervision teams. Quality assurance procedures are defined for the five steps of conducting the survey including: Sampling, training data collection and training teams, survey implementation, data entry and analysis. A multi-layer supervision and monitoring procedure is established. All the questionnaires are double entered. IrMIDHS will provide valuable data for policymakers in Iran. Designing and implementation of the study involve contributions from academics as well as program managers and policy makers. The collaborative nature of the study may facilitate better usage of its results