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Dono Indarto
Department of physiology, Faculty of Medicine, Universitas Sebelas Maret
Medicine & Pharmacology Public Health

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Risk Factors of Hypertension among Women in Sragen, Central Java Sudaryanto Sudaryanto; Setyo Sri Rahardjo; Dono Indarto
Journal of Epidemiology and Public Health Vol. 4 No. 2 (2019)
Publisher : Masters Program in Public Health

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Abstract

Background: Hypertension has become a global problem because its prevalence continues to increase to the stage of worrying. Health profile data of Sragen District Health Office in 2014 showed that out of 175,750 people aged >18 years who took blood pressure measurement, there were 28.73% (50,499 people) identified as having high blood pressure and 25,928 of them were women. This study aimed to examine the risk factors of hypertension among women in Sragen, Central Java, Indonesia.Subjects and Method: This was a case-control study conducted in Sragen, Central Java. The total sample of 200 women was selected by fixed disease sampling. The dependent variable was hypertension. The independent variables were age, history of hypertension, stress, smoking, physical activity, alcohol consumption, salt consumption, coffee consumption, body mass index (BMI), and cholesterol level. Blood pressure was measured by sphygmomanometer. The other data were measured by questionnaire. The data were analyzed by multiple logistic regression.Results: Age ?40 years (OR= 5.27; 95% CI= 1.81 to 15.28; p= 0.002), had history of hypertension (OR= 4.75; 95% CI= 1.46 to 15.39; p= 0.009), stress (OR= 5.32; 95% CI= 1.50 to 18.84; p= 0.009), smoking (OR= 17.51; 95% CI= 1.18 to 258.70; p= 0.037), low physical activity (OR= 7.89; 95% CI= 2.44 to 25.51; p = 0.001), alcohol consumption (OR= 23.06; 95% CI= 1.49 to 335.39; p= 0.025), salt consumption (OR= 16.68; 95% CI= 1.61 to 172.83; p= 0.018), coffee consumption (OR= 4.19; 95% CI= 1.03 to 16.98; p= 0.045), BMI (OR= 5.60; 95% CI= 1.23 to 9.71; p= 0.018), high total cholesterol (OR= 6.49; 95% CI = 2.00 to 21.05; p = 0.002) increased the risk of hypertension among women. Nagelkerke R Square= 72.2%.Conclusion: Age ?40 years, history of hypertension, stress, smoking, low physical activity, alcohol consumption, salt consumption, coffee consumption, BMI, high total cholesterol increase the risk of hypertension among women.Keyword: hypertension, determinants, womenCorrespondence:
Application of Health Belief Model on Preventive Behaviors of Patients with Low Back Pain Septi Ayu Arum Yuspita Sari; Dono Indarto; Mahendra Wijaya
Journal of Health Promotion and Behavior Vol. 3 No. 3 (2018)
Publisher : Masters Program in Public Health, Sebelas Maret University

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Background: Low back pain (LBP) has different negative impacts in some people around the world. There are many risk factors of LBP, either biology, psychology, or social economics. A psychological theory (Health Belief Model/HBM) can be applied for preventive behaviors of some human diseases. This study aimed to analyze the application of HBM on preventive behaviors of patients with LBP.Subjects and Method: This was a case-control study conducted at the medical rehabilitation policlinic, Dr. Moewardi Hospital, Surakarta, from October to November 2018. A sample of 50 LBP patients and 100 non-LBP patients was selected by fixed exposure sampling. The dependent variable was preventive behaviors. The independent variables were perceived severity, susceptibility, benefit, barrier, threat, cues to action, and self-efficacy. Data on LBP was obtained from medical record. The other data were collected by questionnaire and analyzed by path analysis.Results: LBP preventive behaviors were directly and positively associated with perceived threat (b= 0.46; 95% CI= 0.24 to 0.68; p<0.001), perceived benefit (b= 0.29; 95% CI= 0.18 to 0.40; p<0.001), and self-efficacy (b= 0.16; 95% CI= 0.08 to 0.23; p<0.001). It was indirectly associated with perceived susceptibility, perceived severity, perceived barrier, and cues to action.Conclusion: LBP preventive behaviors are directly and positively associated with perceived threat, perceived benefit, and self-efficacy. It is indirectly associated with perceived susceptibility, perceived severity, perceived barrier, and cues to action. This study supports the application of HBM to explain LBP preventive behaviors.Keywords: low back pain, Health Belief Model, path analysisCorrespondence: Septi Ayu Arum Yuspita Sari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email:yuspitasari020993@gmail.com. Mobile: +6282338986991.Journal of Health Promotion and Behavior (2018), 3(3): 192-198https://doi.org/10.26911/thejhpb.2018.03.03.06
The Path Analysis of Body Mass Index, Physical Exercise, Sleep Quality, and Parental Education on Physical Fitness among Male Adolescences Hayu Andita Satriani; Dono Indarto; Yulia Lanti Retno Dewi
Journal of Health Promotion and Behavior Vol. 3 No. 4 (2018)
Publisher : Masters Program in Public Health, Sebelas Maret University

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Background: Rapid physical growth occurs during adolescence period. Physical fitness is a key indicator for general health, which shows individual ability of cardiorespirationand skeletal muscles to adapt to physical activity load. Many factors can influence physical fitness such as Body Mass Index for age (BMI/age), physical exercise, sleep quality and parental education. The purpose of this study was to analyze the relationship of BMI/age, physical exercise, sleep quality and parental education with physical fitness levels among male adolescences.Subjects and Methods:  This cross-sectional study was conducted in three private senior high schools at the Gondokusuman district, Yogyakarta. Study subjects were selected using the fixed exposure sampling technique with inclusion criteria: male adolescence who aged 15-18 years old and had normal or more BMI/age. The dependent variable was physical fitness. The independent variables were BMI/age, physical exercise, sleep quality, and parental education.  The data were collected by questionnaire and analyzed by path analysis.Results: Physical exercise (b= 0.32; SE= 0.46; p<0.001) and BMI/age (b= -2.87; SE= 0.27; p= <0.001) were directly related to physical fitness. Indirect relationship was found inparent education and sleep index score with physical fitness through physical exercise. Interestingly, BMI/age had direct and indirect relationship to physical fitness.Conclusion: BMI/age is a predominant factor that influences physical fitness in male adolescences. Sleep quality and parent education also influence physical fitness, but they had the opposite direction. All those factors should be considered as key factors in order to enhance physical fitness in male adolescences.Keywords: physical exercise, sleep quality, physical fitness, male adolescenceCorrespondence: Hayu Andita Satriani. Masters Program in Public Health, Universitas Sebelas Maret, Jl, Ir. Sutami 36 A, Surakarta, 57126, Central Java, Indonesia. Email: hayuandita@gmail.Journal of Health Promotion and Behavior (2018), 3(4): 270-278https://doi.org/10.26911/thejhpb.2018.03.04.07 
Co-Authors Hayu Andita Satriani Mahendra Wijaya Septi Ayu Arum Yuspita Sari Setyo Sri Rahardjo Sudaryanto Sudaryanto Yulia Lanti Retno Dewi