{"title":"印度尼西亚无烟区与吸烟行为之间的相关性","authors":"M. Fahmi","doi":"10.20473/jbe.v8i22020.117-124","DOIUrl":null,"url":null,"abstract":"Background: Low public awareness of the impact of smoking makes the implementation of smoke-free areas (KTR) difficult. Smoke-free areas aim to protect the public from the direct and indirect effects of smoking. Purpose: This study aimed to analyze the correlation between the application of smoke-free areas and the prevalence of active and ex-smokers in Indonesia. Method: This study implemented a cross-sectional design, using secondary data from the Riskesdas 2018 on active and ex-smokers. KTR application data were obtained from the Profile of Non-Communicable Diseases in 2016. A Pearson product-moment test was conducted by a computer application to determine the correlation coefficient (r). This coefficient was used to describe the level of correlation between the two variables; significance was determined as a p value of 5%. Results: This study showed that the average application of KTR throughout Indonesia was 50.83%, active smokers comprised 23.49% of the population, and ex-smokers comprised 4.94%. Most active smokers were in Java and Sumatra, while the majority of ex-smokers were in Java and Sulawesi and the majority of KTR was in Java. This study shows that there is a positive correlation between KTR application and the percentage of ex-smokers (r = 0.46; p value = 0.01). Conclusion: There is a positive correlation between the application of KTR and an increase in ex-smokers. The government needs to increase the application of KTR policies.","PeriodicalId":31943,"journal":{"name":"Jurnal Berkala Epidemiologi","volume":"24 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CORRELATION BETWEEN SMOKE-FREE AREAS AND SMOKING BEHAVIOR IN INDONESIA\",\"authors\":\"M. Fahmi\",\"doi\":\"10.20473/jbe.v8i22020.117-124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Low public awareness of the impact of smoking makes the implementation of smoke-free areas (KTR) difficult. Smoke-free areas aim to protect the public from the direct and indirect effects of smoking. Purpose: This study aimed to analyze the correlation between the application of smoke-free areas and the prevalence of active and ex-smokers in Indonesia. Method: This study implemented a cross-sectional design, using secondary data from the Riskesdas 2018 on active and ex-smokers. KTR application data were obtained from the Profile of Non-Communicable Diseases in 2016. A Pearson product-moment test was conducted by a computer application to determine the correlation coefficient (r). This coefficient was used to describe the level of correlation between the two variables; significance was determined as a p value of 5%. Results: This study showed that the average application of KTR throughout Indonesia was 50.83%, active smokers comprised 23.49% of the population, and ex-smokers comprised 4.94%. Most active smokers were in Java and Sumatra, while the majority of ex-smokers were in Java and Sulawesi and the majority of KTR was in Java. This study shows that there is a positive correlation between KTR application and the percentage of ex-smokers (r = 0.46; p value = 0.01). Conclusion: There is a positive correlation between the application of KTR and an increase in ex-smokers. The government needs to increase the application of KTR policies.\",\"PeriodicalId\":31943,\"journal\":{\"name\":\"Jurnal Berkala Epidemiologi\",\"volume\":\"24 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Berkala Epidemiologi\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20473/jbe.v8i22020.117-124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Berkala Epidemiologi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20473/jbe.v8i22020.117-124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CORRELATION BETWEEN SMOKE-FREE AREAS AND SMOKING BEHAVIOR IN INDONESIA
Background: Low public awareness of the impact of smoking makes the implementation of smoke-free areas (KTR) difficult. Smoke-free areas aim to protect the public from the direct and indirect effects of smoking. Purpose: This study aimed to analyze the correlation between the application of smoke-free areas and the prevalence of active and ex-smokers in Indonesia. Method: This study implemented a cross-sectional design, using secondary data from the Riskesdas 2018 on active and ex-smokers. KTR application data were obtained from the Profile of Non-Communicable Diseases in 2016. A Pearson product-moment test was conducted by a computer application to determine the correlation coefficient (r). This coefficient was used to describe the level of correlation between the two variables; significance was determined as a p value of 5%. Results: This study showed that the average application of KTR throughout Indonesia was 50.83%, active smokers comprised 23.49% of the population, and ex-smokers comprised 4.94%. Most active smokers were in Java and Sumatra, while the majority of ex-smokers were in Java and Sulawesi and the majority of KTR was in Java. This study shows that there is a positive correlation between KTR application and the percentage of ex-smokers (r = 0.46; p value = 0.01). Conclusion: There is a positive correlation between the application of KTR and an increase in ex-smokers. The government needs to increase the application of KTR policies.