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Background: Electronic cigarettes have now become part of the lifestyle. Over the past 10 years, there has been a significant increase in electronic cigarette users in Indonesia between 2011 and 2021, from 0.3% to 3.0%. Previous research at the University of Indonesia showed that the frequency of regular use of electronic cigarettes reached 50%. Objectives: This study aims to analyze the factors associated with electronic cigarette use behavior among students of the Faculty of Engineering, University of Indonesia. Methods: This research uses a quantitative design with a cross-sectional study. Results: The results of the chi-square test showed a significant relationship between the factors of gender (p = 0.021), knowledge (p = 0.027), perceived susceptibility (p = <0.001), perceived severity (p = <0.001), perceived benefits (p = <0.001), perceived barriers (p = <0.001), self-efficacy (p = <0.001), cue to action (p = <0.001) with the behavior of using electronic cigarettes. However, the age factor found no significant relationship (p=0.062). Conclusion: Factors in the HBM such as demographic factors, perceived susceptibility, perceived severity, benefits, barriers, self-efficacy, and cue to action are proven to influence the behavior of using electronic cigarettes in college students.
The Province of Jakarta is is among the top five provinces in Indonesia with the highest proportion of electronic cigarette use, particularly among young people, including university students. This study aimed to identify the factors influencing electronic cigarette use behavior among college students in Jakarta by employing the Problem Behavior Theory (PBT) framework. This theory was selected because it effectively explains how deviant behaviors, including the use of addictive substances such as electronic cigarettes, are formed through complex interactions among individual factors, the social environment, and behavioral systems. The study involved 281 college students aged 20–24 years from the five administrative regions of Jakarta who served as respondents. Data were collected online and analyzed using descriptive statistics, chi-square tests, and multiple logistic regression. The results showed that 17.8% of respondents were active users of electronic cigarettes, 35.9% had tried using them, and 41% reported having quit. Among active users, 56% used electronic cigarettes daily, and most had been using them for more than two years. The primary reasons for using electronic cigarettes included taste, aroma, convenience, and the perception of e-cigarettes as an alternative to conventional cigarettes. Significant factors influencing electronic cigarette use behavior included gender, family structure, parental smoking behavior, congruence of values between parents and peers, and peer rejection of deviant behavior, with gender emerging as the most dominant factor, indicating that male students were more likely to use electronic cigarettes than female students. The recommendations focus on developing gender- and family-based health promotion modules in collaboration with universities, strengthening surveillance systems and smoke-free zones on campuses, utilizing digital and social media for educational outreach, empowering students as peer leaders and micro-influencers, and implementing participatory monitoring through digital feedback mechanisms. Further research using longitudinal approaches is recommended to better understand the long-term dynamics of electronic cigarette use behavior
Studi dari berbagai sumber melaporkan bahwa penggunaan media sosial berlebihan terutama pada kategori usia mahasiswa merupakan pencetus Gangguan Media Sosial (GMS) yang dapat berkaitan dengan masalah kesehatan mental lainnya. Studi ini menggunakan kerangka Socio Ecological Model (SEM) dalam empat ruang lingkup yakni lingkup individual, social network, community, dan lingkup societal mahasiswa
Universitas Indonesia (UI). Penelitian bertujuan untuk menganalisis hubungan faktor ekologi sosial dalam kaitannya dengan GMS pada mahasiswa UI. Studi cross-sectional fokus pada media sosial Whatsapp, Youtube, Facebook, Instagram, Tiktok, X, Line, dan Telegram. Total sampel 320 mahasiswa sarjana angkatan 2021-2024 UI dilakukan pada Bulan Maret-Mei 2025 melalui googleform. Analisis data yang digunakan adalah analisis univariat, analisis bivariat, dan analisis multivariat menggunakan uji regresi logistik. Hasil menunjukkan 25,9% mahasiswa UI mengalami GMS. Hubungan yang signifikan
dengan Gangguan Media Sosial hanya ditemukan di lingkup individual yakni faktor durasi (p value = 0,042; OR=1,734; 95%CI=1,020-2,948) dan lingkup social network yakni faktor pengaruh teman sebaya (p value < 0,001; OR=3,175; 95%CI=1,820-5,538), setelah dikontrol oleh variabel lainnya. Diharapkan UI melalui Badan Kesejahteraan UI
dapat merumuskan kebijakan pencegahan GMS di level universitas yang bersifat preventif dan promotif dengan mempertimbangkan konten edukasi yang menjelaskan faktor durasi dan pengaruh teman sebaya.
Studies from various sources report that excessive use of social media, especially in the student age category, is a trigger for Social Media Disorder (SMD) which can be related to other mental health problems. This study uses the Socio Ecological Model (SEM) framework in four scopes; individual, social network, community, and societal scope of students at the Universitas Indonesia (UI). The study aims to analyze the relationship between social ecological factors in relation to SMD among UI students. The cross- sectional study focused on social media Whatsapp, Youtube, Facebook, Instagram, Tiktok, X, Line, and Telegram. This study was conducted in March-May 2025 with 320 respondents via Googleform. The data analysis used multivariate using the logistic regression test. This study found 25.9% of UI students have SMD. Significant relationships with SMD were only found in the individual scope, the duration factor (p value = 0.042; OR = 1.734; 95% CI = 1.020-2.948) and the social network scope, the peer influence factor (p value <0.001; OR = 3.175; 95% CI = 1.820-5.538). This study recommend Badan Kesejahteraan UI to formulate a preventive and promotive GMS prevention policy at the university level by considering educational content that explains the duration factor and peer influence.
