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Cardiovascular disease is the number one cause of death from NCD, according to WHO in 2015 deaths from cardiovascular disease represent 31 17 million of total all deaths globally and 7.4 million are caused by CHD. In Indonesia, the increase in morbidity and mortality due to NCD has the greatest contribution from cardiovascular disease, where CHD is the highest prevalence of cardiovascular disease. CHD is caused by modifiable risk factors and unmodifiable risk factors. The prevalence of CHD can be controlled if risk factors can be controlled, considering there are risk factors from CHD that can be modified. DKI Jakarta becomes the second highest area with the prevalence of CHD in Indonesia. However, the relation between modifiable risk factors and CHD and the most dominant risk factors among them remains unknown in DKI Jakarta. The aim of this study is to know how the relation between some risk factors that can be modified with CHD in DKI Jakarta and find the most dominant risk factor associated with PJK by doing further analysis of data Posbindu PTM 2015 2018. This study used cross sectional design and the analysis was done until multivariate analysis stage using logistic regression test. From 30.459 respondents aged ge 15 years, the prevalence of CHD was 3.4. Smoking behavior p value 0,000 OR 6,53 95 CI 4,826 ndash 8,838 , physical inactivity p value 0,045 OR 0,745 95 CI 0,558 ndash 0,993, alcohol consumption p value 0,000 OR 3057,076 95 CI 1786,92-5230,06, diabetes mellitus, value 0,000 OR 0,161 95 CI 0,161 ndash 0,508, and hypertension p value 0,000 OR 0,284 95 CI 0,284 ndash 0,526 are factors that have significant relations with CHD. The dominant risk factor of CHD in DKI Jakarta is alcohol consumption. Promotive and preventive efforts are expected to be intensified in order to reduce the incidence of CHD and the need for further surveys related to alcohol consumption because alcohol consumption is the dominant factor in this study and according to the literature it has great effect on heart function damage.
Kata kunci: Obesitas, Posbindu PTM, DKI Jakarta
Prevalence of obesity in DKI Jakarta Province is always above the national rate in every age group every year. This study aims to determine the frequency distribution of obesity and factors associated with obesity in participants Posbindu PTM age 15-64 years. The data used is secondary data, sample size 20161. This research is a quantitative research with cross sectional study design. The results of this study showed that the prevalence of obesity in this study was 57.1% which is a rough prevalence. The association relationship shows that there is a significant correlation between age variable, sex, marital status, physical activity, fruit and vegetable consumption, smoking status with obesity occurrence at Posbindu PTM participants. Where participants were more at risk of having age between 24-44 years (PR 1.92, 95% CI 1.39 to 2.64), female sex (PR 1.27, 95% CI 1.19 to 1.34) , married (PR 1.46, 95% CI 1.22-1.75), lack of physical activity (PR 0.94, 95% CI 0.089-0.99), lack of consumption of vegetables and fruits (PR 1 , 06; 95% CI 1.00 to 1.12), and who had a smoking habit (PR 0.77; 95% CI 0.71-0.83). This research is expected to be a consideration in the development of Posbindu PTM program as an effort to reduce obesity rate in DKI Jakarta Province.
Keywords: Obesity, Posbindu PTM, DKI Jakarta
Coronary Heart Disease (CHD) is a leading cause of death in the cardiovascular group. Obesity could increase a person's risk of progression from prediabetes to type 2 DM and increase the risk of cardiovascular disease. Prediabetes with obesity increases the risk of CHD events based on Cardiometabolic Disease Staging (CMDS). This study was used a retrospective cohort study design using secondary data on NCD Risk Factor Cohort Study in 2011-2018. The sample was 493 obese adult respondents in population of NCD Risk Factor Cohort Study whom met this study inclusion and exclusion criteria. The results of multivariate analysis using cox regression after being controlled by age and duration of obesity found that prediabetes had HR = 0.80 (95% CI: 0.462- 1.387), p = 0.429 which means the relationship between prediabetes with CHD events in obese adult respondents was not statistically significant.
Penelitian ini bertujuan untuk mengetahui faktor risiko yang berhubungan dengan diabetes mellitus tipe 2 di Posbindu PTM se-Provinsi DKI Jakarta. Penelitian ini menggunakan desain cross sectional dari data Surveilans Faktor Risiko PTM Dinas Kesehatan Provinsi DKI Jakarta tahun 2017. Sampel yang dianalisis sebesar 12.775 responden dari 12.789 responden berumur ≥15 tahun. Analisis data multivariat menggunakan uji regresi logistik berganda untuk menentukan model prediksi dan faktor potensial dampak yang paling dominan.
Hasil didapatkan proporsi diabetes mellitus sebesar 15,87%. Multivariat didapatkan umur ≥45 tahun (POR=6,32), 35-44 tahun (POR=1,82), 25-34 tahun (POR=0,98), jenis kelamin (POR=0,63), riwayat DM keluarga (POR=4,43), tidak menikah (POR=0,49), cerai (POR=1,58), tidak bekerja (POR=1,93), IRT (POR=1,84), pelajar/mahasiswa (POR=0,24), kurang aktif (POR=1,20), hipertensi (POR=1,35), dan obesitas sentral (POR=1,29). Faktor risiko yang memberikan dampak paling dominan adalah umur ≥45 tahun dan riwayat DM keluarga, sedangkan faktor yang dapat dimodifikasi yang memberikan dampak paling dominan adalah obesitas sentral. Model prediksi ini cukup akurat untuk memprediksi diabetes mellitus dengan batas probabilitas sebesar 18%. Perlu adanya peningkatan kualitas pelaksanaan Posbindu PTM dari pemerintah serta kesadaran warga DKI Jakarta yang berumur ≥15 tahun untuk pemantauan faktor risiko serta deteksi dini PTM.
Type 2 diabetes mellitus has become a serious public health problem and is an important cause of morbidity, death, disability and economic losses worldwide including Indonesia. The province of DKI Jakarta includes the top ten of the highest diabetes mellitus nationally. Posbindu PTM as one of the government programs in conducting early detection and monitoring of NCD risk factors that are implemented in an integrated, routine, and periodic.
This study aims to determine the risk factors associated with diabetes mellitus type 2 in Posbindu PTM throughout DKI Jakarta Province. This research uses cross sectional design from data of Risk Factor Surveilans of NCD Health Office of DKI Jakarta Province 2017. The analyzed sample is 12,775 respondents from 12,789 respondents aged ≥15 years old. Multivariate data analysis using multiple logistic regression test to determine prediction model and the most dominant potential impact factor.
The result obtained proportion of diabetes mellitus equal to 15,87%. Multivariate was found to be ≥45 years old (POR=6.32), 35-44 years (POR=1.82), 25-34 years (POR=0.98), sex (POR=0.63), history of DM family (POR=4.43), unmarried (POR=0.49), divorce (POR=1.58), not working (POR=1.93), IRT (POR=1.84), student (POR=0.24), less physical activity (POR=1.20), hypertension (POR=1.35), and central obesity (POR=1.29). Risk factors that have the most dominant impact are age ≥45 years and family DM history, while the modifiable factor that gives the most dominant impact is central obesity. This prediction model is accurate enough to predict diabetes mellitus with a probability limit of 18%. It is necessary to improve the quality of Posbindu PTM implementation from the government and the awareness of Jakarta citizens aged ≥15 years for monitoring of risk factors and early detection of NCD.
Kata Kunci : Hipertensi, Faktor Risiko, Perempuan Usia Menopause
