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Currently, Mycobacterium tuberculosis bacteria have infected about a quarter of the world's population that spreads through the air and Indonesia is one of the countries with a high burden of tuberculosis. 4 out of 6 provinces in Java are included in the 10 provinces with the highest prevalence of pulmonary TB, namely Banten, West Java, DKI Jakarta, and Central Java with the prevalence of pulmonary TB above 0.4 which is the Indonesian average. The purpose of this study was to determine the relationship between individual characteristics and environmental conditions with the incidence of pulmonary tuberculosis in the population aged 15 years in Java Island in 2018. The study design used was cross-sectional using Riskesdas 2018 data. used are 216,098 respondents. Data analysis used univariate and bivariate with chi-square test. The results of the bivariate analysis showed that the variables that had a statistically significant relationship with the incidence of pulmonary tuberculosis were gender, nutritional status, education level, smoking, number of family members, main room lighting, kitchen lighting, living room lighting, presence of main bedroom window, presence of kitchen windows, main bedroom ventilation, and kitchen. It is important to increase public knowledge related to the transmission and prevention of pulmonary tuberculosis, including providing education about the criteria for healthy homes, as well as increasing case finding surveillance by increasing the empowerment of health cadres.
Prevalensi diabetes melitus mengalami tren meningkat, baik di tingkat global maupun di
Indonesia. Prevalensi DM berdasarkan pemeriksaan kadar gula darah di Indonesia meningkat dari tahun 2013 (6,9%), 2018 (10,9%), hingga 2023 (11,7%). DM adalah salah satu penyakit tidak menular (PTM) yang bisa dicegah melalui perubahan gaya hidup, salah satunya adalah aktivitas fisik, yang menjadi kunci dalam pencegahan dan pengurangan beban PTM. Penelitian ini bertujuan untuk mengetahui hubungan antara aktivitas fisik dengan kejadian DM pada penduduk usia 15 tahun ke atas di Indonesia pada tahun 2023, dengan distratifikasi oleh variabel perancu usia, jenis kelamin, status obesitas, tempat tinggal, status pekerjaan, dan status ekonomi. Penelitian ini menggunakan data Survei Kesehatan Indonesia (SKI) 2023 dengan desain studi potong lintang. Analisis yang dilakukan adalah analisis univariat, bivariat, dan stratifikasi. Berdasarkan analisis bivariat, aktivitas fisik berhubungan signifikan dengan DM, dengan aktivitas fisik kurang lebih berpeluang (OR=1,36; 95% CI= 1,23 – 1,51) untuk memiliki DM. Variabel perancu usia, jenis kelamin, status obesitas, dan status pekerjaan berhubungan signifikan dengan DM dan digunakan untuk stratifikasi. Setelah distratifikasi, hubungan aktivitas fisik dengan DM tetap signifikan, tetapi nilai OR berbeda berdasarkan modifikasi efek dari variabel usia dan jenis kelamin. Penduduk usia 40 tahun ke atas (OR=1,52; 95% CI= 1,35 – 1,71) lebih berpeluang untuk memiliki DM jika kurang melakukan aktivitas fisik. Upaya intervensi pengelola program kesehatan perlu difokuskan untuk merancang dan mengimplementasikan kebijakan aktivitas fisik dan skrining DM yang komprehensif dengan bekerja sama dengan sektor luar kesehatan dan fokus untuk meningkatkan partisipasi aktivitas fisik pada penduduk berusia 40 tahun ke atas.
There is an upward trend of diabetes mellitus prevalency, both globally and in Indonesia. DM prevalency based on blood glucose examination in Indonesia shows an upward trend, from 2013 (6,9%), 2018 (10,9%), up to 2023 (11,7%). DM is a noncommunicable disease (NCD) that could be prevented by lifestyle change, which one of them is physical activity, a key in NCD prevention and burden reduction. This study aims to identify the association between physical activity and DM in Indonesia’s population aged 15 years and over in 2023, with stratification based on confounding variable age, sex, obesity status, residential area, employment status, and economic status. This study utilizes Survei Kesehatan Indonesia (SKI) 2023 data with cross-sectional study design. Univariate, bivariate, and stratification analysis were conducted. Based on bivariate analysis, physical activity is significantly associated with DM, with the less active group having higher odds (OR=1,36; 95% CI= 1,23 – 1,51) for developing DM. Confounding variables age, sex, obesity status, and employment status significantly associated with DM and will be used in stratification. After stratification, the association between physical activity and DM hold its significance, but the OR differs based on effect modification by age and sex variables. Population aged 40 years and over (OR=1,52; 95% CI= 1,35 – 1,71) higher odds to develop DM if they’re physically inactive. Interventions effort made by health program organizer needs to be focused on designing and implementing comprehensive physical activity and DM screening policy with partners outside the health sectors and focusing on increasing participation in physical activity among population aged 40 years and over.
