cover
Contact Name
Firman Pardosi
Contact Email
par­do­si­.­fp­@­gmail.com
Phone
+6285261­42­3­8­65
Journal Mail Official
par­do­si­.­fp­@­gmail.com
Editorial Address
Universitas Sebelas Maret, Jl. Ir. Suta­mi­ 36A, Su­rakarta 57126, Central Java
Location
Kota surakarta,
Jawa tengah
INDONESIA
Journal of Epidemiology and Public Health
ISSN : 25490273     EISSN : 25490273     DOI : -
Core Subject : Health,
Background: Increased blood pressure for a long time can increase the risk of kidney failure, co­ronary heart disease, brain damage, and other di­seases. In 2019, it is estimated that hyper­tens­ion is experienced by 1.13 billion people in the world with most (two thirds) living in low and mid­­dle income countries. Other study also shows that the police and military are at risk of develop­ing hypertension due to a number of factors such as low know­led­ge about healthy and nutritious food, co-workers who are smokers, and consum­ing alco­hol. This study aimed to analyze the risk factors for hypertension in the police and military in the world using meta analysis. Subjects and Method: This was a meta-ana­lysis and systematic review. The articles used we­re obtained from Google Scholar, Springer Link, Pro­­Quest, and Science Direct databases. Selected arti­cles published from 2000 to 2020. Keywords to search for articles are as follows: hypertension po­lice personnel and military, or hypertension po­lice personnel and military. The articles studi­ed are 3 full text articles with cross sectional stu­dy designs and 1 full text articles with case cont­rol study design. Articles are col­lect­ed using PRI­S­­­MA diagrams, and analy­zed us­ing the Re­vi­ew Ma­nager application 5.3. Results: Overweight (aOR= 1.42; 95% CI = 1.01 to 2.00; p= 0.04), alcohol consumption (aOR­=­ 1.­55; 95% CI= 1.12 to 2.12; p= 0.007), ciga­rette con­­­­sumption (aOR= 1.45 ; 95% CI= 1.06 to 1.97; p= 0.020) is a risk factor for hyper­­­tension in the po­­­lice and military. Conclusion: Overweight, alcohol consump­tion, and cigarette consump­tion, are risk fac­tors for hypertension in po­lice and military personnel.
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Articles 2 Documents
Search results for , issue "Vol. 1 No. 1 (2016)" : 2 Documents clear
Multilevel Analysis on the Bio-psychosocial and Environment Factors Affecting the Risk of Pneumonia in Infants Yunita, Astri; Murti, Bhisma; Dewi, Yulia Lanti Retno
Journal of Epidemiology and Public Health Vol. 1 No. 1 (2016)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

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Abstract

Background: Pneumonia is an illness of the maincauses of pain and death in toddler in the world. The incidence of pneumonia in Indonesia has increased, from 2007 about 2.1% and in 2013 about2.7%. Pneumonia in toddler in Indonesia is an issue that is important to do the actions of prevention and control of pneumonia. This study was aimed to investigate the factors biopsychosocial to the risk of pneumonia in toddlers.Subjects and Method: This was an analytical observational study with case control design, carried out on 2 August to 16 September 2016. A total of 140 subjects in Banjarnegara, Central Java, were selected by fixed disease sampling. The dependent was pneumonia in infants. The independent variables were exposure to CO, H2S, family income, maternal education, household smoke exposure, sanitary home, chain-smoking family activity, anxiety. The data was collected by using a questionnaire, check list and recording and analyzed by using Logistic regression.Results: There was influence of exposure of CO (OR= 1.46; 95% CI= 0.17 to 21; p= 0.970), H2S (OR= 0.53; 95% CI= 0.98 to 2.92; p= 0.412), family income (OR= 1.90; 95% CI= 0.78 to 4.65; p= 0.365), maternal education (OR= 1.75; 95% CI= 0.72 to 4.25; p= 0.474), household smoke exposure (OR= 5.63; 95% CI= 2.27 to 13.95; p= 0.001), home sanitation (OR= 6.23; 95% CI= 2.61 to 14.84; p=0.001), smoking activity (OR= 3.19; 95% CI= 1.33 to 7.66; p= 0.020) and the incidence of pneumonia toddlers. There was the influence of anxiety to pneumonia in toddler (OR= 16; 96% CI= 6.87 to 37.75; p< 0.001). There was the influence of contextual conditions to pneumonia in toddler (ICC = 36.97%; role of thumb 5 to 8% likelihood ratio p= 0.008; 95% CI= 0.45 to 8.17).Conclusion: There is the influence of exposure to CO, H2S, family income, maternal education, household smoke exposure, home sanitation, smoking activity. There is the influence of anxiety of pneumonia in toddler. The condition has influence contextual variations toddler pneumonia incident, so it is noteworthy.Keywords: bio-psychosocial, environmental factor, pneumonia toddlersCorrespondence: Astri Yunita. Masters Program in Public Health, SebelasMaret University, Surakarta. Email: astriyunita07@yahoo.co.id. Mobile: +6285641797995Journal of Epidemiology and Public Health (2016), 1(1): 1-10https://doi.org/10.26911/jepublichealth.2016.01.01.01 
Geographical Satellite and Survey Data for Prediction of Dengue Cases in Sukoharjo, Indonesia Kusumawati, Dyah; Prayitno, Adi; Dharmawan, Ruben
Journal of Epidemiology and Public Health Vol. 1 No. 1 (2016)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

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Abstract

Background: Dengue fever is a disease based on environment and still a health problem. Problems related to the dengue fever vector distribution factor in terms of the spread of vector space with the use of geographic data and survey data in order to predict the incidence of dengue in the region.Subjects and Methods: This study used analytic observational with cross sectional approach using modeling Geographical Information Systems (GIS). The sampling technique in this research is saturated sampling of secondary data Sukoharjo District Health Profile in 2011-2014, population data and data Geographic, then all the data were analyzed using multiple linear regression.Results: There is a positive relationship between the area per Km2 with the number of new cases of dengue fever, although the relationship was not statistically significant. (B = <0:01; CI -0.01 - 0:02; p = 0.310). There is a positive relationship between population density per soul / Km2dengan number of new cases of dengue fever, a significant relationship between population density with DHF cases. (B = <0:01; CI <0:01 to 0:01; p = 0.013). There is a negative relationship between topography per masl by the number of new cases of dengue fever, although the relationship was not statistically significant. (B = <0:01; CI -0.02 - 0:01; p = 0.335). There is a positive correlation between rainfall per mm / yr with the number of new cases of dengue fever, although the relationship was not statistically significant. (B = <0:01; CI <0:01 to 0:01; p = 0101). There is a positive relationship between river flow per ha by the number of new cases of dengue fever, although the relationship was not statistically significant. (B = 0:02; CI -0.01 - 0:03; p = 0318). There is a negative correlation between% Non Flick figure by the number of new cases of dengue fever, although the relationship was not statistically significant. (B = <0:01; CI -0.02 - 0:01; p = 0764).Conclusions: The increase in land area, population density, rainfall, river flow is predicted to affect the increase in dengue cases, whereas the increase ABJ predicted topography and affecting the decline of dengue cases in the district of Sukoharjo in 2011-2014.Keywords: geographical data and survey data, prediction of dengue casesCorrespondence:

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