Differences in Risk Factor of Cardiovascular Disease Risk on Rural and Urban Population

Rosjidi, Cholik Harun; Isro’in, Laily; Wahyuni, Nurul Sri

doi:10.15294/kemas.v13i1.4174

Cited by 8 publications

(11 citation statements)

References 7 publications

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“…This kind of heart work could later induce heart failure condition. Study by Rosjidi et al (2017) also support this findings by explaining that smoking, drinking alcohol, and consuming not fresh fruits could increase the risk factor of having cardiovascular diseases even leading to death. This phenomenon is having less attention to society particularly in smoker adolescents; because they assume that smoking only induce respiratory tract diseases.…”

Section: Methodsmentioning

confidence: 55%

Physical Fitness of Adolescent Smoker

Irawan

Putra

Chuang

2019

Kemas

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Adolescent smoking behavior has a bad influence on health and fitness. The purpose of this study was to determine vital capacity and hemoglobin level in smoker and non-smoker adolescent towards physical fitness. The study was quantitative research with surveys and measurement tests. The sample size was 40 adolescents which in the neighborhood of Gunungpati. We used t-test, MANOVA and post hoc test to determine the differences in smoker and non-smoker adolescent. This study showed smoker adolescents had lower vital capacity compared than non-smoker adolescents. The value of hemoglobin levels in smoker adolescents were higher than non-smoker adolescents so that it affect the low levels of physical fitness. For adolescents, it is expected to maintain physical fitness through physical activity and reduce the number of cigarettes consumed and even try to stop smoking for smoker adolescents..

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Section: Methodsmentioning

confidence: 55%

Physical Fitness of Adolescent Smoker

Irawan

Putra

Chuang

2019

Kemas

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“…In general, health factors are closely related to the life expectancy of a person. Besides, research conducted by Rosjidi, Isro'in, and Wahyuni (2017) also showed that risk factors for cardiovascular disease like hypertension, hypercholesterolemia, obesity, lack of physical activity and diabetes mellitus are more common in females than males. The studies with different findings above indicate that research on the relationship between life expectancy and gender still needs to be studied and carried out, especially in Indonesia.…”

Section: Discussionmentioning

confidence: 99%

Survival Probability Comparison of Dki Jakarta Residents Based on Gender and Marital Status

Wahyudi¹,

Anwar

Ferdhiana

2021

JBK

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Human life quality in an area can be determined through the Human Development Index (HDI). One of the fundamental components for the HDI composition is the Life Expectancy Rate (LER). Even though DKI Jakarta Province has a high HDI, research on the factors that influence LER is still fascinating to do. This study aims to compare the survival probability of the DKI Jakarta residents based on gender (male and female) and marital status (unmarried and married) variables. This study analyzed the lifespan data of 464 people who were calculated from birth to death in 2017. The data were analyzed using a lifetime analysis method with a parametric approach which refers to selecting the probability distributions that best fits the research data. The results showed there was no difference in survival probability between the male and female populations. Meanwhile, married residents have a greater survival probability than those who were unmarried. Thus, the Provincial Government of DKI Jakarta needs to increase the percentage of the married population to increase LER, leading to an increase in regional HDI, for example, through economic empowerment programs and optimization of the Planning Generation (GenRe) program.

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“…The major risk factors of PAD are similar to those of coronary artery disease and cerebrovascular disease, including older age, male, hypertension, diabetes mellitus, overweight/obesity, and cigarette smoking (Bennett, Silverman, Gill, & Lip, 2009). The prevalence of those risk factors is quite high among Indonesian population (Mihardja, Soetrisno, & Soegondo, 2014;Rachmi, Li, & Baur, 2017;Rosjidi, Isro'in, & Wahyuni, 2017;Harahap & Indrayana, 2018;Peltzer & Pengpid, 2018). Optimal management of those risk factors is crucial in the management of PAD and it may reduce overall cardiovascular mortality (Shammas, 2007).…”

Section: Methodsmentioning

confidence: 99%

Serum Homocysteine Level and Ankle-Brachial Index in Peripheral Arterial Disease

Indrayana

Harahap

2020

Kemas

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Patients with peripheral arterial disease have a higher risk of death compared to normal populations. There are several relatively new risk factors significantly increase the vulnerability to suffering from peripheral arterial disease, one of which is homocysteine. Studies investigating the role of serum homocysteine level as a biomarker of the severity of peripheral arterial disease based on an ankle-brachial index (ABI) in the different populations were still limited and it was never been studied in Mataram. This was a cross-sectional study aimed to investigate the correlation between serum homocysteine level and ABI in 77 peripheral artery disease (PAD) outpatients in Siti Hajar Hospital, Mataram. The diagnosis of PAD was based on ABI<0.9. Fasting serum homocysteine level was examined using the ELISA technique. Characteristic data collected were gender, age, hypertension, diabetes mellitus, and body mass index (BMI) category. There was a significant correlation between the increase of serum homocysteine levels and the decrease of ABI. The main risk factors for peripheral arterial disease in the subjects are hypertension, diabetes mellitus, and overweight/obesity. Serum homocysteine level is a predictor of peripheral arterial disease severity measured using ABI.

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Differences in Risk Factor of Cardiovascular Disease Risk on Rural and Urban Population

Cited by 8 publications

References 7 publications

Physical Fitness of Adolescent Smoker

Physical Fitness of Adolescent Smoker

Survival Probability Comparison of Dki Jakarta Residents Based on Gender and Marital Status

Serum Homocysteine Level and Ankle-Brachial Index in Peripheral Arterial Disease

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