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Tobacco Induced Diseases — Template for authors

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Guideline source

Categories	Rank	Trend in last 3 yrs
Health (social science)	#58 of 293	up by 4 ranks
Public Health, Environmental and Occupational Health	#167 of 526	up by 8 ranks
Medicine (miscellaneous)	#101 of 238	down by 2 ranks

Journal quality:

High

Last 4 years overview: 281 Published Papers | 1000 Citations

Indexed in: Scopus

Last updated: 03/06/2020

Related journals

Insights

General info

Related Journals

Open Access

Substance Use and Misuse

Taylor and Francis

Quality:

Good

CiteRatio: 2.6

SJR: 0.704

SNIP: 0.783

Open Access

Journal of Drug Issues

SAGE

Quality:

Good

CiteRatio: 2.1

SJR: 0.359

SNIP: 0.737

Open Access

American Journal of Men's Health

SAGE

Quality:

High

CiteRatio: 4.0

SJR: 0.881

SNIP: 1.266

Open Access

Public Health Nutrition

Cambridge University Press

Quality:

High

CiteRatio: 5.4

SJR: 1.166

SNIP: 1.368

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

1.434

24% from 2018

Impact factor for Tobacco Induced Diseases from 2016 - 2019
Year	Value
2019	1.434
2018	1.889
2017	1.539
2016	2.092

Graph view

3.6

89% from 2019

CiteRatio for Tobacco Induced Diseases from 2016 - 2020
Year	Value
2020	3.6
2019	1.9
2018	2.5
2017	2.7
2016	2.6

Graph view

Insights

Impact factor of this journal has decreased by 24% in last year.
This journal’s impact factor is in the top 10 percentile category.

Insights

CiteRatio of this journal has increased by 89% in last years.
This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.835

45% from 2019

SJR for Tobacco Induced Diseases from 2016 - 2020
Year	Value
2020	0.835
2019	0.576
2018	0.665
2017	0.716
2016	0.903

Graph view

1.109

31% from 2019

SNIP for Tobacco Induced Diseases from 2016 - 2020
Year	Value
2020	1.109
2019	0.844
2018	0.847
2017	0.551
2016	0.897

Graph view

Insights

SJR of this journal has increased by 45% in last years.
This journal’s SJR is in the top 10 percentile category.

Insights

SNIP of this journal has increased by 31% in last years.
This journal’s SNIP is in the top 10 percentile category.

Tobacco Induced Diseases

Guideline source: View

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Springer

Tobacco Induced Diseases

Approved by publishing and review experts on SciSpace, this template is built as per for Tobacco Induced Diseases formatting guidelines as mentioned in Springer author instructions. The current version was created on and has been used by 174 authors to write and format their manuscripts to this journal.

Last updated on	03 Jun 2020
ISSN	1606-8610
Open Access	Yes
Sherpa RoMEO Archiving Policy	White
Plagiarism Check	Available via Turnitin
Endnote Style	Download Available
Citation Type	Numbered [25]
Bibliography Example	Blonder, G.E., Tinkham, M., Klapwijk, T.M.: Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B 25(7), 4515–4532 (1982)

Top papers written in this journal

Open access • Journal Article • DOI: 10.18332/TID/119324 •

COVID-19 and smoking: A systematic review of the evidence

Constantine I. Vardavas¹, Katerina Nikitara² •

20 Mar 2020 - Tobacco Induced Diseases

Abstract:

COVID-19 is a coronavirus outbreak that initially appeared in Wuhan, Hubei Province, China, in December 2019, but it has already evolved into a pandemic spreading rapidly worldwide,. As of 18 March 2020, a total number of 194909 cases of COVID-19 have been reported, including 7876 deaths, the majority of which have been repor... COVID-19 is a coronavirus outbreak that initially appeared in Wuhan, Hubei Province, China, in December 2019, but it has already evolved into a pandemic spreading rapidly worldwide,. As of 18 March 2020, a total number of 194909 cases of COVID-19 have been reported, including 7876 deaths, the majority of which have been reported in China (3242) and Italy (2505).However, as the pandemic is still unfortunately under progression, there are limited data with regard to the clinical characteristics of the patients as well as to their prognostic factors. Smoking, to date, has been assumed to be possibly associated with adverse disease prognosis, as extensive evidence has highlighted the negative impact of tobacco use on lung health and its causal association with a plethora of respiratory diseases. Smoking is also detrimental to the immune system and its responsiveness to infections, making smokers more vulnerable to infectious diseases. Previous studies have shown that smokers are twice more likely than non-smokers to contract influenza and have more severe symptoms, while smokers were also noted to have higher mortality in the previous MERS-CoV outbreak,.Given the gap in the evidence, we conducted a systematic review of studies on COVID-19 that included information on patients’ smoking status to evaluate the association between smoking and COVID-19 outcomes including the severity of the disease, the need for mechanical ventilation, the need for intensive care unit (ICU) hospitalization and death.The literature search was conducted on 17 March 2020, using two databases (PubMed, ScienceDirect), with the search terms: [‘smoking’ OR ‘tobacco’ OR ‘risk factors’ OR ‘smoker*’] AND [‘COVID-19’ OR ‘COVID 19’ OR ‘novel coronavirus’ OR ‘sars cov-2’ OR ‘sars cov 2’] and included studies published in 2019 and 2020. Further inclusion criteria were that the studies were in English and referred to humans. We also searched the reference lists of the studies included. A total of 71 studies were retrieved through the search, of which 66 were excluded after full-text screening, leaving five studies that were included. All of the studies were conducted in China, four in Wuhan and one across provinces in mainland China. The populations in all studies were patients with COVID-19, and the sample size ranged from 41 to 1099 patients. With regard to the study design, retrospective and prospective methods were used, and the timeframe of all five studies covered the first two months of the COVID-19 pandemic (December 2019, January 2020).Specifically, Zhou et al. studied the epidemiological characteristics of 191 individuals infected with COVID-19, without, however, reporting in more detail the mortality risk factors and the clinical outcomes of the disease. Among the 191 patients, there were 54 deaths, while 137 survived. Among those that died, 9% were current smokers compared to 4% among those that survived, with no statistically significant difference between the smoking rates of survivors and non-survivors (p=0.21) with regard to mortality from COVID-19.Similarly, Zhang et al. presented clinical characteristics of 140 patients with COVID-19. The results showed that among severe patients (n=58), 3.4% were current smokers and 6.9% were former smokers, in contrast to non-severe patients (n=82) among which 0% were current smokers and 3.7% were former smokers , leading to an OR of 2.23; (95% CI: 0.65–7.63; p=0.2).Huang et al. studied the epidemiological characteristics of COVID-19 among 41 patients. In this study, none of those who needed to be admitted to an ICU (n=13) was a current smoker. In contrast, three patients from the non-ICU group were current smokers, with no statistically significant difference between the two groups of patients (p=0.31), albeit the small sample size of the study.The largest study population of 1099 patients with COVID-19 was provided by Guan et al. from multiple regions of mainland China. Descriptive results on the smoking status of patients were provided for the 1099 patients, of which 173 had severe symptoms, and 926 had non-severe symptoms. Among the patients with severe symptoms, 16.9% were current smokers and 5.2% were former smokers, in contrast to patients with non-severe symptoms where 11.8% were current smokers and 1.3% were former smokers. Additionally, in the group of patients that either needed mechanical ventilation, admission to an ICU or died, 25.5% were current smokers and 7.6% were former smokers. In contrast, in the group of patients that did not have these adverse outcomes, only 11.8% were current smokers and 1.6% were former smokers. No statistical analysis for evaluating the association between the severity of the disease outcome and smoking status was conducted in that study.Finally, Liu et al. found among their population of 78 patients with COVID-19 that the adverse outcome group had a significantly higher proportion of patients with a history of smoking (27.3%) than the group that showed improvement or stabilization (3.0%), with this difference statistically significant at the p=0.018 level. In their multivariate logistic regression analysis, the history of smoking was a risk factor of disease progression (OR=14.28; 95% CI: 1.58–25.00; p= 0.018).We identified five studies that reported data on the smoking status of patients infected with COVID-19. Notably, in the largest study that assessed severity, there were higher percentages of current and former smokers among patients that needed ICU support, mechanical ventilation or who had died, and a higher percentage of smokers among the severe cases. However, from their published data we can calculate that the smokers were 1.4 times more likely (RR=1.4, 95% CI: 0.98–2.00) to have severe symptoms of COVID-19 and approximately 2.4 times more likely to be admitted to an ICU, need mechanical ventilation or die compared to non-smokers (RR=2.4, 95% CI: 1.43–4.04).In conclusion, although further research is warranted as the weight of the evidence increases, with the limited available data, and although the above results are unadjusted for other factors that may impact disease progression, smoking is most likely associated with the negative progression and adverse outcomes of COVID-19. read more

Topics:

Risk factor (52%)52% related to the paper, Population (52%)52% related to the paper, Epidemiology (51%)51% related to the paper

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927 Citations

Open access • Journal Article • DOI: 10.1186/1617-9625-4-12 •

Tobacco use increases susceptibility to bacterial infection

Juhi Bagaitkar¹, Donald R. Demuth¹, •

18 Dec 2008 - Tobacco Induced Diseases

Abstract:

Active smokers and those exposed to secondhand smoke are at increased risk of bacterial infection. Tobacco smoke exposure increases susceptibility to respiratory tract infections, including tuberculosis, pneumonia and Legionnaires disease; bacterial vaginosis and sexually transmitted diseases, such as chlamydia and gonorrhoea... Active smokers and those exposed to secondhand smoke are at increased risk of bacterial infection. Tobacco smoke exposure increases susceptibility to respiratory tract infections, including tuberculosis, pneumonia and Legionnaires disease; bacterial vaginosis and sexually transmitted diseases, such as chlamydia and gonorrhoea; Helicobacter pylori infection; periodontitis; meningitis; otitis media; and post-surgical and nosocomial infections. Tobacco smoke compromises the anti-bacterial function of leukocytes, including neutrophils, monocytes, T cells and B cells, providing a mechanistic explanation for increased infection risk. Further epidemiological, clinical and mechanistic research into this important area is warranted. read more

Topics:

Respiratory tract infections (58%)58% related to the paper, Bacterial vaginosis (55%)55% related to the paper, Tobacco smoke (54%)54% related to the paper,

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257 Citations

Open access • Journal Article • DOI: 10.1186/1617-9625-1-1-35 •

Effects of sixty six adolescent tobacco use cessation trials and seventeen prospective studies of self-initiated quitting

Steve Sussman¹ •

01 Jan 2003 - Tobacco Induced Diseases

Abstract:

This paper provides a review of the last two and a half decades of research in adolescent and young-adult tobacco use cessation. A total of 66 tobacco cessation intervention studies – targeted or population – are reviewed. In addition, an exhaustive review is completed of adolescent self-initiated tobacco use cessation, invol... This paper provides a review of the last two and a half decades of research in adolescent and young-adult tobacco use cessation. A total of 66 tobacco cessation intervention studies – targeted or population – are reviewed. In addition, an exhaustive review is completed of adolescent self-initiated tobacco use cessation, involving 17 prospective survey studies. Average reach and retention across the intervention studies was 61% and 78%, respectively, and was higher when whole natural units were treated (e.g., classrooms), than when units created specifically for the program were treated (e.g., school-based clinics). The mean quit-rate at a three to 12-month average follow-up among the program conditions was 12%, compared to approximately 7% across control groups. A comparison of intervention theories revealed that motivation enhancement (19%) and contingency-based reinforcement (16%) programs showed higher quit-rates than the overall intervention cessation mean. Regarding modalities (channels) of change, classroom-based programs showed the highest quit rates (17%). Computer-based (expert system) programs also showed promise (13% quit-rate), as did school-based clinics (12%). There was a fair amount of missing data and wide variation on how data points were measured in the programs' evaluations. Also, there were relatively few direct comparisons of program and control groups. Thus, it would be difficult to conduct a formal meta-analysis on the cessation programs. Still, these data suggest that use of adolescent tobacco use cessation interventions double quit rates on the average. In the 17 self-initiated quitting survey studies, key predictors of quitting were living in a social milieu that is composed of fewer smokers, less pharmacological or psychological dependence on smoking, anti-tobacco beliefs (e.g., that society should step in to place controls on smoking) and feeling relatively hopeful about life. Key variables relevant to the quitting process may include structuring the context of programming for youth, motivating quit attempts and reducing ambivalence about quitting, and making programming enjoyable as possible. There also is a need to help youth to sustain a quit-attempt. In this regard, one could provide ongoing support during the acute withdrawal period and teach youth social/life skills. Since there is little information currently available on use of nicotine replacement in young people, continued research in this arena might also be a useful focus for future work. read more

Topics:

Nicotine replacement (57%)57% related to the paper, Psychological intervention (51%)51% related to the paper, Population (51%)51% related to the paper

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211 Citations

Open access • Journal Article • DOI: 10.1186/1617-9625-5-16 •

Perceptions of hookah smoking harmfulness: predictors and characteristics among current hookah users

Khaled Aljarrah¹, Zaid Q. Ababneh², •

18 Dec 2009 - Tobacco Induced Diseases

Abstract:

Introduction Tobacco cigarette smoking a well-known cause of cancer and other diseases. Hookah smoking is another form of tobacco use that has rapidly spread in the United State and Europe. This study assessed beliefs about the harmfulness of smoking hookah. read more

Topics:

Hookah Smoking (90%)90% related to the paper, Smokeless tobacco (56%)56% related to the paper

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177 Citations

Open access • Journal Article • DOI: 10.18332/TID/125580 •

The double-edged relationship between COVID-19 stress and smoking: Implications for smoking cessation

Jeroen Bommelé, Petra Hopman, •

27 Jul 2020 - Tobacco Induced Diseases

Abstract:

Introduction Although recent research shows that smokers respond differently to the COVID-19 pandemic, it offers little explanation of why some have increased their smoking, while others decreased it. In this study, we examined a possible explanation for these different responses: pandemic-related stress. Methods We conducted... Introduction Although recent research shows that smokers respond differently to the COVID-19 pandemic, it offers little explanation of why some have increased their smoking, while others decreased it. In this study, we examined a possible explanation for these different responses: pandemic-related stress. Methods We conducted an online survey among a representative sample of Dutch current smokers from 11-18 May 2020 (n=957). During that period, COVID-19 was six weeks past the (initial) peak of cases and deaths in the Netherlands. Included in the survey were measures of how the COVID-19 pandemic had changed their smoking, if at all (no change, increased smoking, decreased smoking), and a measure of stress due to COVID-19. Results Overall, while 14.1% of smokers reported smoking less due to the COVID-19 pandemic, 18.9% of smokers reported smoking more. A multinomial logistic regression analysis revealed that there was a dose-response effect of stress: smokers who were somewhat stressed were more likely to have either increased (OR=2.37; 95% CI: 1.49-3.78) or reduced (OR=1.80; 95% CI: 1.07-3.05) their smoking. Severely stressed smokers were even more likely to have either increased (OR=3.75; 95% CI: 1.84-7.64) or reduced (OR=3.97; 95% CI: 1.70-9.28) their smoking. Thus, stress was associated with both increased and reduced smoking, independently from perceived difficulty of quitting and level of motivation to quit. Conclusions Stress related to the COVID-19 pandemic appears to affect smokers in different ways, some smokers increase their smoking while others decrease it. While boredom and restrictions in movement might have stimulated smoking, the threat of contracting COVID-19 and becoming severely ill might have motivated others to improve their health by quitting smoking. These data highlight the importance of providing greater resources for cessation services and the importance of creating public campaigns to enhance cessation in this dramatic time. read more

Topics:

Smoking cessation (64%)64% related to the paper

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140 Citations

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To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Tobacco Induced Diseases?

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Tobacco Induced Diseases. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour	Archiving policy
Green	Can archive pre-print and post-print or publisher's version/PDF
Blue	Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow	Can archive pre-print (ie pre-refereeing)
White	Archiving not formally supported

FYI:

Pre-prints as being the version of the paper before peer review and
Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Tobacco Induced Diseases?

The 5 most common citation types in order of usage for Tobacco Induced Diseases are:.

S. No.	Citation Style Type
1.	Author Year
2.	Numbered
3.	Numbered (Superscripted)
4.	Author Year (Cited Pages)
5.	Footnote

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Tobacco Induced Diseases — Template for authors

Related Journals

Journal Performance & Insights

Impact Factor

CiteRatio

1.434

3.6

Insights

Insights

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

0.835

1.109

Insights

Insights

Tobacco Induced Diseases

Tobacco Induced Diseases

Top papers written in this journal

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