Taufik, Feni Fitriani
Departemen Pulmonologi Dan Ilmu Kedokteran Respirasi Fakultas Kedokteran Universitas Indonesia, RSUP Persahabatan Jakarta

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The 4T Approach for Smoking Cessation Compliance for Pulmonary Tuberculosis Patients in Persahabatan Referral Hospital Septauli, Kolanda Maria; Susanto, Agus Dwi; Agustin, Heidy; Ginting, Tribowo Tuahta; Taufik, Feni Fitriani
Jurnal Respirologi Indonesia Vol 44 No 1 (2024)
Publisher : Perhimpunan Dokter Paru Indonesia (PDPI)/The Indonesian Society of Respirology (ISR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36497/jri.v44i1.578

Abstract

Background: Smoking increases the risk of tuberculosis infection and affects its treatment success rate and mortality. Most TB patients who smoke quit at the initial diagnosis, but may continue to smoke if the clinical symptoms improve. Studies show that the 4T approach (Tanya, Telaah, Tolong nasehati, and Tindak lanjut) helps smokers quit. The 4T approach was applied in Indonesia as a smoking cessation program for TB patients.Methods: We conducted a randomized controlled trial on 43 male TB patients who smoke. The trial group received a 4T approach consisting of education, counseling, and motivation to quit smoking for three months. The control group received a self-help leaflet. Smoking status, Fagerström nicotine dependence scale, exhaled carbon monoxide level, and peak expiratory flow rate were collected. We observed the subjects at months 1, 2, and 3 after quitting smoking and reported on the Motivation and Minnesota Withdrawal Scale.Results: Smoking cessation levels during months I, II, and III (Continuous Abstinence Rate I, II, and III) were higher in the trial group than in the control group. The trial group had a higher percentage of smoking cessation than the control group: until 4 weeks (66.7% vs. 54.5%), until 8 weeks (57.1% vs. 45.5%), and until 12 weeks (52.4% vs. 45.5%). The control group had higher numbers of smoking relapses (18.2% vs. 14.3%) and still smokers (18.2% vs. 9.5%) after the study. Withdrawal symptoms included an increase in appetite (44.1%), cigarette cravings (6.9%), agitation (2.3%), insomnia (2.3%), and irritability (2.3%). There were no significant differences in the withdrawal scale between groups (P=0.788), but the trial group showed better motivation to stop smoking during CAR II (P=0.043).Conclusion: The 4T approach is effective in maintaining abstinence from smoking among lung tuberculosis patients until months 1, 2, and 3 after quitting. Smoking cessation programs during tuberculosis treatment can help patients quit smoking and reduce relapse.
Association between Smoking Habits and Outcomes of COVID-19 Patients in Persahabatan Hospital, Jakarta Lestari, Ayesya Nasta; Taufik, Feni Fitriani; Susanto, Agus Dwi
Jurnal Respirologi Indonesia Vol 44 No 1 (2024)
Publisher : Perhimpunan Dokter Paru Indonesia (PDPI)/The Indonesian Society of Respirology (ISR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36497/jri.v44i1.600

Abstract

Background: : Factors related to the severity and the outcome of coronavirus disease 2019 (COVID19) are emerging subjects of interest to be studied. Smoking has long been known to have a negative impact on the response to infection. The purpose of this study was to determine the association between smoking habits with the severity, the length of hospitalization and the outcome of COVID19 patients.Methods: This study was a prospective cohort study of COVID-19 patients admitted at Persahabatan Hospital, Jakarta, Indonesia. Subjects were included by consecutive sampling from August to October 2021. Subjects were assigned into smokers and non-smokers group. All subjects were assessed for their severity, length of hospitalization and outcome; in smoking patients, the Brinkman Index (IB) and the Fagerström Test for Nicotine Dependent (FTND) score were also recorded. Statistical tests were then carried out to assess the significant association between smoking history and the degree of severity, length of hospitalization and outcome of COVID-19 in all patients and the FTND and IB scores with the degree of severity, length of hospitalization and outcome of COVID-19 in smokers.Results: Authors found that 39/100 (39%) of participants were smokers. Smoking history had a correlation with the outcome (p=0.001) but not with the degree of severity (p=0.410) and length of hospitalization (p=0.780). Among subjects with smoking history, there were correlations found between FTND and the degree of severity and the outcome (p=0.022 and p=0.012), but not with the length of hospitalization (p=0.716). The Brinkman Index was correlated with only the degree of severity (p=0.020).Conclusion: Our study found that smoking habits were correlated with the degree of severity and outcomes in COVID-19 patients.
Correlation Between Predicted Maximal Oxygen Uptake (VO2 max) from The Six-Minute Walk Test and Reaction Time in Male Security Guards Noor, Amira Ismi; Soehardiman, Dicky; Taufik, Feni Fitriani
Jurnal Respirologi Indonesia Vol 45 No 4 (2025)
Publisher : Perhimpunan Dokter Paru Indonesia (PDPI)/The Indonesian Society of Respirology (ISR)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36497/jri.v45i4.1015

Abstract

Background: Reaction time, the interval between stimulus and motor response, reflects alertness and is critical in professions such as security guards. Maximal oxygen uptake (VO₂ max), a standard measure of cardiorespiratory fitness, has been linked to improvements in cognitive performance. This study examined the relationship between predicted VO2 max values from the six-minute walk test and reaction time in security guards. Methods: A cross-sectional study was conducted among 33 male security guards at Persahabatan National Respiratory Center between October and November 2024. Participants completed physical activity questionnaires, the six-minute walk test, and audio-visual reaction time assessments. Results: The mean predicted VO2 max was 18.3±2.9 ml/kg/min (metabolic equivalents/METs: 5.2±0.8). Body mass index significantly influenced VO₂ max (p = 0.002). Auditory reaction time was significantly faster than visual reaction time (172.6±25.7 ms vs. 199.8±33.1 ms, p < 0.001). A weak negative correlation was found between predicted VO₂ max and visual reaction time (r = –0.340, p = 0.048), but not with auditory reaction time (r = –0.245, p = 0.169). Conclusion: Higher cardiorespiratory fitness, as reflected by predicted VO₂ max, was not strongly associated with visual reaction time among security guards.