Environmental Health Risk Analysis Exposure to Nitrogen Dioxide (No2) and Sulfur Dioxide (So2) on Street Vendor in Ampera Terminal Palembang 2015

Background: Terminal is a location that generates air pollution as a result of transport activity performed. The use of motorized transport will produce a wide range of gases including NO2 and SO2. At certain concentrations of NO2 and SO2 can have an effect on health disorders for example respiratory problems, throat irritation and eye irritation.Methods: This study was a descriptive study of environmental health risk analysis method. Eighty four traders were sampled in this study. Simple random sampling was used as sampling technique. The variable used is the concentration of NO2, SO2 concentration, Inhalation Rate (R), exposure time, frequency of exposure, duration of exposure, weight, time period average-average, RFC, risk level. Univariate data analysis techniques. And then the data is presented in tabular form and narrative to interpret the data. Result: The street vendors in Terminal Palembang Ampera has a weight of less than 65.57 kg by 54.8%, exposure time ≤8 hours/day by 54.8%, the frequency of exposure ≤362 days/year amounted to 98.8 %, duration of exposure ≤10 years of 57.1%, intake NO2 ≤0.00132 mg/kg/day by 50%, SO2 intake 0.00677 mg/kg/day by 50%, NO2 RQ>1 at 0%, SO2 RQ>1 amounted to 11.9%, SO2 RQ>1 male sex-men by 80%, and SO2 RQ>1 is derived from the four measurement points by 40%. Conclution: This research concluded that exposure to Nitrogen Dioxide (NO2) to street vendors at Terminal Ampera Palembang does not pose a risk, whereas exposure to Sulfur Dioxide (SO2) provides risk to 10 street vendors in Terminal Ampera Palembang

Perceptions of health risk among parents of overweight children: a cross-sectional study within a cohort.

OBJECTIVE: To identify the socio-demographic and behavioural characteristics associated with perceptions of weight-related health risk among the parents of overweight children. METHODS: Baseline data from a cohort of parents of children aged 4-11 years in five areas in England in 2010-2011 were analysed; the sample was restricted to parents of overweight children (body mass index ≥ 91(st) centile of UK 1990 reference; n=579). Associations between respondent characteristics and parental perception of health risk associated with their child's weight were examined using logistic regression analyses. RESULTS: Most parents (79%) did not perceive their child's weight to be a health risk. Perception of a health risk was associated with recognition of the child's overweight status (OR 10.59, 95% CI 5.51 to 20.34), having an obese child (OR 4.21, 95% CI 2.28 to 7.77), and having an older child (OR 2.67, 95% CI 1.32 to 5.41). However, 41% of parents who considered their child to be overweight did not perceive a health risk. CONCLUSIONS: Parents that recognise their child's overweight status, and the parents of obese and older children, are more likely to perceive a risk. However, many parents that acknowledge their child is overweight do not perceive a related health risk

Bioaccessibility and human health risk : chromium in Glasgow

The assessment of risk to human health from contaminated land is based on a comparison of predicted human exposure to a contaminant with a Health Criteria Value (HCV) that represents an exposure below which there is thought to be little or no risk to human health. Most assessment tools, such as the Contaminated Land Exposure Assessment Model (CLEA), use estimates of exposure based on intake (consumption rate) rather than on measures of uptake (the amount of contaminant which enters the bloodstream), thus allowing comparison with HCVs, which are also based on intake apposed to uptake. Soil Guideline Values (SGVs) derived using the CLEA model assume that a soil contaminant will be taken up into the body to the same extent as from the medium of exposure used to derive the oral HCV (e.g. soluble salts of Cr(VI)). This is a conservative assumption as contaminants can be tightly bound to other soil components, thus reducing bioavailability (the fraction of a contaminant that can be absorbed by the body)

Mining health knowledge graph for health risk prediction

Nowadays classification models have been widely adopted in healthcare, aiming at supporting practitioners for disease diagnosis and human error reduction. The challenge is utilising effective methods to mine real-world data in the medical domain, as many different models have been proposed with varying results. A large number of researchers focus on the diversity problem of real-time data sets in classification models. Some previous works developed methods comprising of homogeneous graphs for knowledge representation and then knowledge discovery. However, such approaches are weak in discovering different relationships among elements. In this paper, we propose an innovative classification model for knowledge discovery from patients’ personal health repositories. The model discovers medical domain knowledge from the massive data in the National Health and Nutrition Examination Survey (NHANES). The knowledge is conceptualised in a heterogeneous knowledge graph. On the basis of the model, an innovative method is developed to help uncover potential diseases suffered by people and, furthermore, to classify patients’ health risk. The proposed model is evaluated by comparison to a baseline model also built on the NHANES data set in an empirical experiment. The performance of proposed model is promising. The paper makes significant contributions to the advancement of knowledge in data mining with an innovative classification model specifically crafted for domain-based data. In addition, by accessing the patterns of various observations, the research contributes to the work of practitioners by providing a multifaceted understanding of individual and public health

Health Risk of Obesity in Native American Adolescents

Recent reports demonstrate the need to improve methods for identifying obesity among adolescent minority populations, especially among Native American adolescents. Our study examined several anthropometric measures to see which one was the best indicator of obesity for Native American adolescents. We compared our data with that provided by the Centers for Disease Control and Prevention (CDC), and the National Health and Nutrition Examination Surveys (NHANESIII). We examined which measures diï¬ered signiï¬cantly from the NHANESIII, and which were most eï¬ective for measuring obesity in Native American adolescents. Our study population represented a cross-sectional, epidemiological population (N=183) of Native American students (ages 14-18) from diverse tribal backgrounds at an urban residential high school. We obtained baseline anthropometric measurements of height, weight, waist, triceps skin-fold, and calf skin-fold measures from the Native American students and compared this information with reference data to assess weight classiï¬cation by body mass indices for our population. Under the conditions of our study, we found the calf skin-fold measure to be the best indicator of normal weight in male Native American adolescents, and the triceps skin-fold measure to be the best indicator of obesity in male Native American adolescents. The assessment of health risk by anthropometric measures we obtained appears appropriate for predicting obesity and developing eï¬ective interventions for Native American adolescents in general. Correlations between anthropometric measures and obesity in our study population may prove of signiï¬cant interest for monitoring obesity prevention initiatives for Native American adolescents

Sharing Health Risk and Income Risk within Households: Evidence from Japanese Data

We examine the question of which household members should consume medical services, and in what quantities, by using Japanese household-level data. We employ two key concepts, health risk and income risk, and investigate whether family heads or dependents bear these risks. Health risk is the risk that a household member falls ill, while income risk is the risk that future household income decreases. We find that both heads and dependents make fewer visits to doctors as household size increases. We also find that only dependents visited doctors less frequently following the reform of the public health insurance system, which raised the co-payment rate of family heads from 10% to 20%. These findings imply that heads and dependents share health risk but dependents bear income riskco-payment; health risk; income risk; public health insurance