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Jawa Timur Dalam Angka 2018: Jawa Timur Province in Figure 2018 Surabaya: Badan Pusat Statistik Provinsi Jawa Timur; 2018 weight loss pills from walmart buy orlistat 60mg with mastercard. Potret Awal Tujuan Pembangunan Berkelanjutan (Sustainable Development Goals) di Indonesia Jakarta: Badan Pusat Statistik Indonesia; 2016 weight loss pills cambogia effective orlistat 120 mg. Analisis Indeks Pembangunan Manusia dan Faktor-Faktor yang Mempengaruhi di Provinsi Papua Bogor: Institut Pertanian Bogor; 2013 weight loss pills quick trim buy orlistat once a day. Analisis Faktor-Faktor yang Mempengaruhi Indeks Pembangunan Manusia di Sulawesi Selatan Periode 2010-2011 Makasar: Universitas Hasanudin; 2012 weight loss pills military order orlistat online from canada. Sample prevalence in adult population in the city of Bogor who suffered a stroke of 1. Stroke occurs due to a blockage of blood supply to the brain which can occur due to a ruptured or blocked blood vessel. This results in a breakdown of the supply of oxygen and nutrients to the brain which then damages brain tissue. One of the causes that can be modified is dyslipidemia which triggers the occurrence of these diseases. About 610,000 are new strokes or first attack strokes and 185,000 recurrent stroke. Prevalence Stroke Indian Journal of Public Health Research & Development, March 2020, Vol. The prevalence of stroke based on diagnosed health care and symptoms is highest in South Sulawesi at (17. Based on the Riskesdas report in 2013 the prevalence of total cholesterol in Indonesia was 35. The sample in this study was individual household members who were selected by simple random sampling, namely residents aged 25-65 years who lived in the city of Bogor. To establish a diagnosis of symptoms and experience of stroke, interviews were conducted with trained health personnel questionnaires. Respondents who have one of the symptoms of a stroke will be followed by confirmation of stroke by a neurologist. The data included in the analysis criteria were respondents interviewed and performed a stroke confirmation check. The dependent variable is a stroke that is divided into strokes and not strokes based on the results of a stroke confirmation by a neurologist. The highest prevalence of respondents is at the age of <46 years which is equal to 65. After all the covariate variables were analyzed there were two variables that had a value of p> 0. So that there are four covariate variables that meet the criteria for entering into multivariate models namely age, education, obesity and total cholesterol levels. However, in this study all covariate variables were included in the multivariate model because in substance the two variables namely gender and triglyceride levels were associated with stroke (Table 2). Discussion In this study, the prevalence of stroke in the adult population in the city of Bogor was 1. This result is higher than the prevalence of stroke in Indonesia based on Riskesdas data in 2013 which was 12. Differences can occur due to geographical variations in each region that cause differences in the prevalence of stroke risk factors, genetic factors and stroke management factors themselves. Where it develops into myocardial infarction, stroke and peripheral vascular disease. Heart disease and stroke statistics - 2018 update: A report from the American Heart Association. Conflict of Interest: Both authors declare that there is no competing interest in this paper. The data usage permit was obtained from the Health Research and Development Agency (Litbangkes) of the Ministry of Health of the Republic of Indonesia written in the letter of approval and stated in the statement letter Number 28031902­025 and Faculty of Public Health University of Indonesia Ethics Committee(No. Acknowledgments: Author would like to thank the Health Research and Development Agency (Litbangkes) of the Indonesian Ministry of Health for giving permission and providing data.

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Living in such conditions questions the availability and the use of drinking water weight loss 5 pounds discount orlistat online american express, communications services weight loss pills lipozene buy 60mg orlistat, electricity weight loss resistance generic orlistat 60 mg on-line, and other energy sources weight loss pills 81 buy orlistat 60mg overnight delivery, the level of sanitation, the degree of isolation (availability of roads and paths which are usable at all times, length of time and availability of transportation to get to work) and the degree of personal safety[23]. Large family size: A possible correlation between household size and level of poverty [23]. An epidemiological evaluation of risk factors for tuberculosis in South India: a matched case control study. Risk Factors of the Incidence of Pulmonary Tuberculosis in Banjarmasin city, Kalimantan, Indonesia. Work-related infections ­ Part 1: Risks of exposure to infectious agents in the workplace. Investigation of the risk factors for tuberculosis: a case­control study in three countries in West Africa. Tuberculosis in Patients Receiving Prolonged Treatment with Oral Corticosteroids for Respiratory Disorders. Tobacco Smoke, Indoor Air Pollution and Tuberculosis: A Systematic Review and MetaAnalysis. Correlation of ambient pollution levels and heavily-trafficked roadway proximity on the prevalence of smearpositive tuberculosis. Neonatal mortality comes from poor maternal health, inadequate care during pregnancy, management of improper complications during pregnancy and childbirth. Method: this study used a case control design with female respondents aged 15-49 years. Multiple Logistic Regression is used to see the variables most related with the 95% Confident Interval. Problems or complications during pregnancy can affect the safety of the mother and baby. Keywords: Neonatal Death, Antenatal Care, Indonesian Health Demographic Survey Introduction Neonates are newborns up to the age of 28 days. During this time there is a huge change in life in the womb and organ maturation occurs in almost all systems. Infants aged less than one month are age groups who have the highest risk of health problems and various health problems can arise. Master of Epidemiology Study Program, Faculty of Public Health, Universitas Indonesia, Depok reduce neonatal deaths to the lowest 12 deaths per 1. The majority of neonatal deaths are concentrated in the first day and week, with around 1 million death on the first day and almost one million dying in the next six days. As many as 75% of all deaths in the first 5 years occur between birth and first birthday and 63% of infant deaths occur within one month after birth. This percentage is slightly higher than the target of the Ministry of Health in 2015 of 72%. The study population were mothers who gave birth to babies who died at the age of 0 to 28 days and the comparison population was mothers who gave birth to live babies. The inclusion criteria in this study were women who had live babies, infants died at less than 29 days of age and exclusion criteria were variables with incomplete data. Bivariate analysis is used to see the relationship of the independent variable with the dependent variable is to use the Logistic Regression test. Multivariate analysis using the Multiple Logistic Regression test by entering all candidate variables with criteria p <0. In the maternal age group, the proportion of infants who died in mothers aged <20 years and> 35 years was lower (35. The proportion of infants who died in mothers with Indian Journal of Public Health Research & Development, March 2020, Vol. The proportion of babies who die in mothers with more than 4 children is smaller (9. The proportion of infants dying was higher in mothers who did not get tetanus injections (60%) than mothers who received tetanus injections (40%). The proportion of infants who died in mothers with a history of pregnancy complications was higher (80%) than mothers who did not experience pregnancy complications (20%). The proportion of infants dying in mothers who experienced labor complications was higher (74.

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It can be seen that from nine measurement locations none exceeded the normal limit with the highest value in the location <500 m of the steel industry with a value of 133 g/Nm3 or equivalent to 0 weight loss pills history 60 mg orlistat for sale. Evidence shows that adverse health effects remain at concentrations of pollutants that are below current air quality standards and at low air pollution levels in many countries weight loss routine order orlistat. In addition weight loss pills safe generic 120mg orlistat free shipping, air pollution is an important concern in many developing countries weight loss pills 30lbs in 30 days discount orlistat generic, where emissions have increased without strict air quality policies. This has added to the worsening air quality conditions, especially in urban areas8. Nitrogen dioxide concentrations aretaken for one hour at each point of measurement location. In table 1 it can be seen that the frequency of respondent exposure is 24 hours/day on average. In table 2 it is also known that the highest frequency of exposure is 24 hours/day. This is because most of the study respondents were housewives in residential locations so that most of their activities were in the area where they lived. Calculations Intake there are variations from each respondent due to differences in anthropometric characteristics and activity patterns. The highest value of intake on respondents obtained from respondents with the duration of exposure (Dt) 24 years exceeds the average of 23 years. So that there is a need for risk management measures using an economic and social approach, a technology approach and stakeholders10. Based on the calculation it can be seen that the maximum safe concentration for a period of 30-year exposure (projected lifespan) is taken from the respondents most at risk with the highest fE value and the lowest concentration of 0. The difference in values is due to the different anthropometric characteristics and activity patterns of the respondents. The risk group can do this by managing the time, frequency and duration of exposure so as not to pose a health risk. Risk management can be done by reducing the exposure time to no more than 11 hours/day and the frequency of exposure to 176 days/year. Efforts of relevant institute to reduce emissions in ambient air are needed to overcome health problems that are getting worse. Local government efforts in reducing industrial exhaust emissions can be done by making and realizing policies for industries that do not conduct periodic audits and issue emissions exceeding the normal limits. Source of Funding: Grants Of Indexed International Publications For the Final Students of University of Indonesia Students. Ethical Clearance: Taken from the Research And Community Engagement Ethical Committee Faculty of Public Health Universitas Indonesia. A Multicity Analysis of the Short-term Effects of Air Pollution on the Chronic Obstructive Pulmonary Disease Hospital Admissions in Shandong, China. Air Quality Guidelines for Particulate Matter, Ozone, Nitrogen Dioxide and Sulfur Dioxide. Outdoor Air Pollution and Health in the Developing Countries of Asia: A Comprehensive Review [Internet]. Environmental Health Risk AssessmentGuidelines for Assessing Human Health Risk from Environmental Hazards. Corrigendum to " Association Between Long-term Exposure to Outdoor Air Pollution and Mortality in China: A Cohort Study" [J. Ambient Air Pollution and Daily Mortality in Anshan, China: A Time-Stratified Case-Crossover Analysis. Inflammation of the oral cavity can affect the general condition of the body, both in adults and children. In Surabaya, Indonesia, underweight is a serious nutritional problem with a high prevalence in elementary school children. Objective: Analyzing the relationship between nutritional status and gingivitis in children aged 11-12 years in the city of Surabaya. Method: this observational analytic study was conducted on elementary school age children in 5 regions in Surabaya. Nutritional status checks were carried out by measuring Body Mass Index which was then converted to z scores. The data was then processed through descriptive statistical method and cross tabulation between gingivitis and nutritional status in children. Results: the prevalence of gingivitis in Surabaya in elementary school children is 46.

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This has further deteriorated the catastrophic health expenditure on maternal health care weight loss 4 reviews quality orlistat 120 mg. So far weight loss 4 2 day cleanse detox 120mg orlistat overnight delivery, very less pieces of research are available on catastrophic health expenditure for maternal health care services in India weight loss 4 pills reviews 60mg orlistat fast delivery. In many southern and western states of India weight loss 5 days discount orlistat 120 mg online, the utilization of maternal healthcareis high. Furthermore, catastrophic health expenditure on maternal health care services is neglected by policy makers and planners. However, this study does not take into account the indirect costs associated with maternal health care expenditures. The main aim is to consider the socio-economic characteristics that determine the catastrophic health expenditure on maternal health care in India. It is used to show the prevalence of maternal health care with respect to different predictor variables and also with respect to different states. Logistic regression is used to find out the odds of catastrophic health expenditure at 40 percent with respect to the different predictor variables. In this study complete maternal health care comprises of women who has taken ante-natal care and post-natal care. Incomplete maternal health care comprises of women who has taken either ante-natal care or post-natal care. In majority of the literature available, catastrophic health expenditure is measured at 40 percent cut off levels. Figure 1: Catastrophic health expenditure at 40 percent with respect to the different predictor variables. Women residing in rural and urban areas undergoing catastrophic health expenditure is 17 percent and 14 percent respectively. Rural sector has higher percentage of catastrophic health expenditure than urban sector. Women who have primary educational status have higher percentage levels of catastrophic health expenditure than secondary and higher educated women. Higher and secondary education status depicts 10 percent and 14 percent of women undergoing catastrophic health expenditure while primary educational status shows 19 percent level respectively. Women belonging to scheduled tribe bear higher catastrophic health expenditure than scheduled castes and others category. Twenty one percent women of scheduled tribe, 20 percent women of scheduled caste and 15 percent belonging to other category undergo catastrophic health expenditure. Affiliation to Hindu religion depicts 17 percent of women for catastrophic health expenditure at 40 percent level. The catastrophic health expenditure beard by Hindus is higher than women affiliated with Islam (16 percent) and other religious groups i. Poorest wealth quintile shows 20 percent women undergoing catastrophic health expenditure. The catastrophic health expenditure decreases with the increase in the wealth quintile from poorest to richest category. Fourteen percent women belonging to richest wealth quintile undergo catastrophic health expenditure on the utilization of maternal health care. Figure 2: Catastrophic health expenditure at 40 percent with respect to different regions in India Figure 2 represents the catastrophic health expenditure on maternal health care with respect to different regions in India. Northern (21 percent) and Central Indian (20 percent) region show high percentage of women undergoing catastrophic health expenditure on maternal health care. Western and Southern region show 10 percent women undergoing for catastrophic health at 40 percent level. Twenty percent women residing in North East India show 20 percent women undergoing catastrophic health expenditure on the utilization of maternal health care services. Secondary and higher educated women are 20 percent and 40 percent less likely to bear catastrophic expenditure on maternal health care than primary educational status respectively. Women affiliated to Islam is 13 percent less likely to have catastrophic expenditure on maternal health care than Hindu affiliated women. Similarly, the likelihood of women belonging to other religious category is 15 percent than Hindus.

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